Learning from Earthquakes: Building Resilient Communities Through Earthquake Reconnaissance, Response and Recovery
Lead Research Organisation:
Newcastle University
Department Name: Sch of Engineering
Abstract
Earthquake reconnaissance plays an invaluable role in earthquake engineering, as it enables the collection of perishable data on building performance that are otherwise unobtainable. Such data can be used to prepare damage statistics, calibrate and validate engineering models and crucially, to decide what design and/or construction deficiencies lead to inadequate structural performance. This research goes beyond the immediate needs of engineers as it can provide the evidence base for the development of new disaster risk reduction policies and mitigation practices worldwide.
In the UK, earthquake field investigations have been conducted by EEFIT since 1982, reporting on the damage observed and inspiring research into building standards for earthquake resistant design and assessment. This research will use the experience gained in EP/I01778X/1 to continue and expand important work in reducing and eventually eradicating the risk of significant death, damage to the economy, and social upheaval resulting from earthquakes. This grant will enable UK based academics to continue to participate in earthquake field investigations conducted by EEFIT and to improve coordination with international equivalents in the USA, Australia and New Zealand, and Europe. grow UK earthquake risk reduction activities, improve the dissemination of EEFIT Mission findings and further increase their impact. Not only will this research continue to collect valuable information in the aftermath of a disaster, but it will also develop new methods of collecting and interpreting this data as well and further develop standard international disaster data collection protocols. This data will be housed in a unique future proof repository that will allow researchers and other stakeholders to easily access and use the information This is important as not only will it enable the UK to stay at the forefront of earthquake engineering research, but it will assist donor countries and other organizations to more accurately access the severity of the disaster and therefore to better target the correct amount of resource for relief and rebuilding efforts.
In the UK, earthquake field investigations have been conducted by EEFIT since 1982, reporting on the damage observed and inspiring research into building standards for earthquake resistant design and assessment. This research will use the experience gained in EP/I01778X/1 to continue and expand important work in reducing and eventually eradicating the risk of significant death, damage to the economy, and social upheaval resulting from earthquakes. This grant will enable UK based academics to continue to participate in earthquake field investigations conducted by EEFIT and to improve coordination with international equivalents in the USA, Australia and New Zealand, and Europe. grow UK earthquake risk reduction activities, improve the dissemination of EEFIT Mission findings and further increase their impact. Not only will this research continue to collect valuable information in the aftermath of a disaster, but it will also develop new methods of collecting and interpreting this data as well and further develop standard international disaster data collection protocols. This data will be housed in a unique future proof repository that will allow researchers and other stakeholders to easily access and use the information This is important as not only will it enable the UK to stay at the forefront of earthquake engineering research, but it will assist donor countries and other organizations to more accurately access the severity of the disaster and therefore to better target the correct amount of resource for relief and rebuilding efforts.
Planned Impact
The ultimate long-term impact that this grant aims to achieve is the reduction of deaths, economic damage and social upheaval resulting from earthquakes. The field missions and research proposed will provide an invaluable contribution to the understanding of earthquake impacts, disaster response and different approaches to earthquake recovery, which form the foundations to the development of new research, technologies, building codes and policies for disaster risk reduction. Hence, communities and industry at risk from earthquakes are the main long-term beneficiaries of this proposal and all the work that it underpins. However, the findings of this research are also of interest to governmental institutions, non-governmental agencies, and donors in the field of international development. In the short to mid-term however, the proposal provides a platform for UK engineers to learn about practical aspects of earthquake engineering design, how these affect the damage susceptibility of a community and learn of the efficacy of different recovery strategies In the UK, there is an excellent and active earthquake engineering community, predominantly with roles in academia, civil engineering consultancies, the nuclear and insurance industries. However, it can be difficult for young researchers and engineers to gain practical experience in this important discipline. If funded, this proposal will provide opportunities for these engineers to further their knowledge of infrastructure damage assessment, structural strengthening, geotechnical assessments, remedial works and other aspects of earthquake engineering and disaster recovery. This will benefit this engineering community and maintain the UK's strong international reputation for earthquake engineering expertise. The importance of EEFIT missions is recognised across UK industry and academia, as demonstrated by their strong support of this proposal (see letters of support) and participation in EEFIT missions over the last 5 years (i.e. 6 UK academic institutions and 8 companies).
Organisations
- Newcastle University (Collaboration, Lead Research Organisation)
- University College London (Collaboration)
- Institution of Structural Engineers (Collaboration, Project Partner)
- Cardiff University (Collaboration)
- University of Zagreb (Collaboration)
- Middle East Technical University (Collaboration)
- European-Mediterranean Seismological Centre (Collaboration)
- Sellafield (United Kingdom) (Project Partner)
- ImageCat (United Kingdom) (Project Partner)
- AIR Worldwide (United Kingdom) (Project Partner)
- Government of the United Kingdom (Project Partner)
- New Zealand Soc for Earthq Eng (NZSEE) (Project Partner)
- Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences (Project Partner)
- EERI Earthquake Engineering Research (Project Partner)
- GNS Science (Project Partner)
- Pontificia Universidad Católica de Chile (Project Partner)
- Global Earthquake Model (Project Partner)
- Edmund Booth Consulting Engineer (Project Partner)
- World Bank (Project Partner)
- United States Geological Survey (Project Partner)
- The University of Texas at Austin (Project Partner)
- Polytechnic University of Turin (Project Partner)
- Arup Group (United Kingdom) (Project Partner)
Publications
Aktas Y
(2022)
Traditional Structures in Turkey and Greece in 30 October 2020 Aegean Sea Earthquake: Field Observations and Empirical Fragility Assessment
in Frontiers in Built Environment
Aktas Y
(2022)
Hybrid Reconnaissance Mission to the 30 October 2020 Aegean Sea Earthquake and Tsunami (Izmir, Turkey & Samos, Greece): Description of Data Collection Methods and Damage
in Frontiers in Built Environment
Aktas Y
(2021)
2020 Aegean Earthquake and Tsunami Mission
Aktas Y
(2022)
Editorial: Disaster Reconnaissance Missions: Is a Hybrid Approach the Way Forward?
in Frontiers in Built Environment
Andonov A
(2020)
The Mw6.4 Albania Earthquake on the 26th November 2019
Babic A
(2020)
Learning from Earthquake (UK) Mission to Zagreb
Baker H
(2022)
Information sharing practices during the COVID-19 pandemic: A case study about face masks
in PLOS ONE
Baker H
(2022)
COVID-19 and science advice on the 'Grand Stage': the metadata and linguistic choices in a scientific advisory groups' meeting minutes.
in Humanities & social sciences communications
Chian S
(2019)
Lessons Learnt From the 2009 Padang Indonesia, 2011 Tohoku Japan and 2016 Muisne Ecuador Earthquakes
in Frontiers in Built Environment
| Title | La laguna Azul de la Cordillera Blanca: La Laguna Parón (Translated title: The blue lake of the white range: The Paron lake) |
| Description | The image entitled: 'La laguna Azul de la Cordillera Blanca: La Laguna Parón (Translated title: The blue lake of the white range: The Paron lake)' was taken in the context of a visit to the city of Huaraz in the province of Huaylas in the department of Ancash in Peru. Huaraz was affected by the Ancash earthquake (also known as the Great Peruvian earthquake) occurred on the 31st May 1970 off the coast of Peru in the Pacific Ocean at 15:23:29 local time. The earthquake triggered a landslide, as a secondary effect, that caused an estimate of 66,794 to 70,000 casualties given the large amounts of snow and ice included in the landslide. Therefore this avalanche the most catastrophic disaster in the history of Peru and the world's deadliest avalanche. |
| Type Of Art | Image |
| Year Produced | 2019 |
| Impact | This picture was shortlisted along with the other 74 pictures submitted from all over the world by the World Meteorological Organization (WMO) for the WMO 2020 Calendar Competition. This picture was shortlisted given their value to capture the combination of the beauty of the weather, climate, and water. In the end, it got 738 votes |
| URL | https://www.facebook.com/WorldMeteorologicalOrganization/photos/a.10157022802071888/1015702280310688... |
| Description | In addition to the impacts reported for EP/P025641/1, the project is working on the development of an Spatial Data Infrastructure (SDI) for the storage and display of field reconnaissance data of different types. A thorough review of past data captured during field missions has been conducted. A survey has also been concluded, where past participants in EEFIT missions have expressed their aspirations and needs for the SDI. This information has been used in order to design the SDI structure and capabilities. The SDI prototype has been developed and is being tested on data collected during the recent 2018 Sulawesi, Indonesia reconnaissance mission. An immediacy reconnaissance mission has been launched to Indonesia following the 28 September 2018 earthquake and tsunami. An EEFIT Team led by Prof. Tiziana Rossetto deployed to Indonesia in November 2018. The EEFIT Team conducted the field reconnaissance in partnership with the Tsunami and Disaster Management research Centre, Banda Aceh. Whilst in the field the EEFIT Team engaged with the Shelter Cluster (led by International Federation of Red Cross), providing some basic hazards advice relating to where to put camps. The team conducted a meeting with Ministry of Public Works to discuss with them the link between their irrigation channel and the triggering of landslides seen in Palu. EEFIT also focussed on school assessments and general building damage observations, communicating these to Save the Children who are undertaking school rebuilding assistance. Observations from this mission have already been presented to the engineering community in the UK, through a talk organised by the Institution of Structural Engineers and held at the auditorium of the Willis Towers Watson Building in London on 17th December 2018. The observations have also been disseminated to the international academic community through presentation at a special session at the American Geophysical Union Conference. Currently, the observations and related research is being published as an EEFIT Report and through a number of conference papers. KEY FINDINGS: To date we have identified the needs of users for field reconnaissance data storage and display, which have been incorporated into the bespoke Spatial Data Infrastructure (SDI) and we are in the process of testing this with new field data. In the case of the 28 September 2018 Sulawesi earthquake and tsunami, we have conducted a reconnaissance mission that has provided data for an improved understanding of the earthquake, tsunami and lanslides hazard characteristics of the event. This event provides an exemplar of multi-hazard impact on a community and is the current subject of study by the reconnaissance team. A particular finding is the relationship between the observed massive landslides and the presence of a man-made irrigation channel, that saturated the ground making it more susceptible to landsliding. We have also collected data that is helping us to understand the impact of these hazards on local school infrastructure and on coastal buildings. Key Findings Albania earthquake reconnaisaince mission findings ? Pre-1990 URM buildings in solid silicate and clay bricks showed a good seismic performance. ? Pre-1990 prefabricated large-panel buildings performed very well in the earthquake ? Damage in RC buildings was observed mainly in mid- to high-rise (above 8 storeys) ? Approximately one third of the collapsed buildings were mixed-use RC MRF buildings built during the 1990s: ? Modern multi-storeys RC MRF multi-family residential buildings in Durres sustained severe non-structural damage. ? ineffective law enforcement in the construction process was a significant contributor to high seismic vulnerability Zagreb Remote Mission ? In terms of structural performance, the main building type affected was old unreinforced masonry structures with failures of gables, and out of plane failures evident in the City of Zagreb and the surrounding villages. ? For the conducting of remote missions: o It is feasible to undertake remote earthquake reconnaissance mission with the support of locals trained in the use of the EEFIT app; however the quality of the data is yet to be fully validated. o The EEFIT app and the SDI were effective for on-site and remote missions. Based on feedback from the mission improvements are ongoing o Non-specialized social media platforms such as Twitter, Instagram, Facebook and Flickr provides text and image data useful for situation awareness. However, the lack of coordinates on Tweets and the kind of information extracted from the data make it challenging to use for earthquake reconnaissance. o Damage photos on Social media are mainly restricted to more important and accessible buildings Aegean Sea mission Non-specialized social media platforms such as Twitter, Instagram, Facebook and Flickr provides text and image data useful for situation awareness. However, the lack of coordinates on Tweets and the kind of information extracted from the data make it challenging to use it for earthquake reconnaissance. ? LastQuake app developed by the Euro-Mediterranean Seismological Centre (EMSC) collects text and image georeferenced data useful for earthquake reconnaissance ? To extract information from data collected from social media platforms such as Twitter and Instagram is necessary to use natural language processing (NLP). The usefulness and validity of this data is still to be confirmed. The grant has also conducted two recovery missions (Nepal and Indonesia) to understand how communities recover from earthquakes. In the case of Nepal, there were many good examples of build back better. The uccessful examples of this occurred for many reasons, but funding and external supervision of the rebuild were 2 key reasons. |
| Exploitation Route | The SDI that is being developed to hold the earthquake reconnaissance data will be used in future earthquake missions and will be a portal for the dissemination and download of reconnaissance data. Data collection tools will help to improve the quantity and quality of data collection The observations made during the 2018 Sulawesi event will inform future research studies on the hazard and resilience of Palu, Indonesia. Furthermore, observations on the built environment performance will feed into current risk models developed by insurers and civil engineering companies. Observations from Albania can be used to help inform current construction deficiencies |
| Sectors | Construction |
| Description | APP customization & SDI development |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The customization of the EEFIT app and the SDI development have made more efficient the building damage data collection during earthquake reconnaissance missions in Zagreb and Aegean region. |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/outputs/theeefitmobileapp.html |
| Description | S1E3 - i-Rec Conference LIVE |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | From June 5-8 2019 Dr. Jason von Meding and Dr. Ksenia Schmutina co-chaired the international conference i-REC 2019 Conference: Disrupting the status quo: Reconstruction, recovery and resisting disaster risk creation. They took the chance to record Disasters: Deconstructed LIVE in a plenary session. In this episode, I was interviewed as a young disaster scientist about the need to use indicators to measure vulnerability, resilience or success or reconstruction and how to deal with the fact that so many things are unmeasurable? |
| URL | https://www.podbean.com/media/share/pb-kzqaq-b424a2?utm_campaign=u_share_ep&utm_medium=dlink&utm_sou... |
| Description | Deutsche Gesellschaft für Geographie (DGFG) travel grant |
| Amount | € 415 (EUR) |
| Organisation | German Society of Geography |
| Sector | Learned Society |
| Country | Germany |
| Start | 09/2019 |
| End | 02/2020 |
| Title | Polarity and topic supervised classification of LastQuake app user's comments - Aegean 2020 earthquake |
| Description | This database contains the sentiment analysis (SA) and topic supervised classification of the comments posted by LastQuake app users related to the 30th October 2020 Aegean earthquake. LastQuake app is a crowdsource-based earthquake information app that allows eyewitnesses to share information about the earthquakes that they felt, combined with seismic data. This app was developed by the European-Mediterranean Seismological Centre (EMSC). Attributes and data contained in the database are: Attributes and data contained in the database are: - eq_evid : Number of the earthquake the comment is associated with - eq_mag : magnitude of the event - eq_t0 : Origin time (UTC) -intensity: felt report intensity (as before leaving a comment users must leave a felt report) - epidist : distance from the event of the comment, in km - dt : response time from the origin time of the associated event, in seconds - rate_pos : number of positive rates * - rate_neg : number of negative rates* -device : device from which the comment was left (desktop, mobile ou app) -comm_valid : 0 or 1 depending on if we validated the comment or not. We invalidate comments when we consider them inappropriate (violence, insults,...) -language: Original language on which the comment was written -polarity: Polarity on which the comment is classified, i.e. positive, negative, neutral -topic: Main topic addressed in the comment, i.e. building damages, tsunami effects, geotechnical effects, lifelines affected, emergency response, solidarity messages, preparedness, seismic information, intensity and unrealted. -comment: comment posted by LastQuake app user translated to English |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | After an earthquake, it is essential to understand its impact on the population and physical assets. Affected population reports intensity felt, directions of the seismic movement, damages in buildings and lifelines, location of injured and casualties, or searching for their relatives. The impacted population also reports the emergency response measures they take, and they send solidarity messages and post about their preparedness level, and some even describe geotechnical effects. All those reports in the form of text and image data contain valuable first-hand information in real-time about the earthquake's impact. This database contains, besides seismic data, the comments from LastQuake app users regarding the impact of the earthquake, and based on the sentiment analysis (polarity classification: positive, negative, neutral and unrelated) and topic classification of these comments. We hypothesise that negative polarity is associated with the highest intensities reported and that topics such as building damages, lifelines affected, and geotechnical effects will also be associated with high intensities reported in the Modified Mercalli Intensity scale (MMI). If the hypothesis is true, then polarity may be able to be used as a proxy for the degree of damage. Therefore, SA will be a rapid, easy method of obtaining damage statistics over a wide area. |
| URL | https://www.istructe.org/resources/report/eefit-mission-report-aegean-30-october-2020/ |
| Title | Polarity and topic supervised classification of LastQuake app user's comments - Aegean 2020 earthquake |
| Description | This database contains the sentiment analysis (SA) and topic supervised classification of the comments posted by LastQuake app users related to the 30th October 2020 Aegean earthquake. LastQuake app is a crowdsource-based earthquake information app that allows eyewitnesses to share information about the earthquakes that they felt, combined with seismic data. This app was developed by the European-Mediterranean Seismological Centre (EMSC). Attributes and data contained in the database are: § eq_evid : Number of the earthquake the comment is associated with § eq_mag : magnitude of the event § eq_t0 : Origin time (UTC) § intensity: felt report intensity (as before leaving a comment users must leave a felt report) § epidist : distance from the event of the comment, in km § dt : response time from the origin time of the associated event, in seconds § rate_pos : number of positive rates * § rate_neg : number of negative rates* § device : device from which the comment was left (desktop, mobile ou app) § comm_valid : 0 or 1 depending on if we validated the comment or not. We invalidate comments when we consider them inappropriate (violence, insults,...) § language: Original language on which the comment was written § polarity: Polarity on which the comment is classified, i.e. positive, negative, neutral § topic: Main topic addressed in the comment, i.e. building damages, tsunami effects, geotechnical effects, lifelines affected, emergency response, solidarity messages, preparedness, seismic information, intensity and unrealted. § comment: comment posted by LastQuake app user translated to English |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://data.ncl.ac.uk/articles/dataset/Polarity_and_topic_supervised_classification_of_LastQuake_ap... |
| Title | Polarity and topic supervised classification of LastQuake app user's comments - Aegean 2020 earthquake |
| Description | This database contains the sentiment analysis (SA) and topic supervised classification of the comments posted by LastQuake app users related to the 30th October 2020 Aegean earthquake. LastQuake app is a crowdsource-based earthquake information app that allows eyewitnesses to share information about the earthquakes that they felt, combined with seismic data. This app was developed by the European-Mediterranean Seismological Centre (EMSC). Attributes and data contained in the database are: § eq_evid : Number of the earthquake the comment is associated with § eq_mag : magnitude of the event § eq_t0 : Origin time (UTC) § intensity: felt report intensity (as before leaving a comment users must leave a felt report) § epidist : distance from the event of the comment, in km § dt : response time from the origin time of the associated event, in seconds § rate_pos : number of positive rates * § rate_neg : number of negative rates* § device : device from which the comment was left (desktop, mobile ou app) § comm_valid : 0 or 1 depending on if we validated the comment or not. We invalidate comments when we consider them inappropriate (violence, insults,...) § language: Original language on which the comment was written § polarity: Polarity on which the comment is classified, i.e. positive, negative, neutral § topic: Main topic addressed in the comment, i.e. building damages, tsunami effects, geotechnical effects, lifelines affected, emergency response, solidarity messages, preparedness, seismic information, intensity and unrealted. § comment: comment posted by LastQuake app user translated to English |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://data.ncl.ac.uk/articles/dataset/Polarity_and_topic_supervised_classification_of_LastQuake_ap... |
| Title | Polarity and topic supervised classification of LastQuake app user's comments - Aegean 2020 earthquakePolarity and topic supervised classification of LastQuake app user's comments - Aegean 2020 earthquake |
| Description | This database contains the sentiment analysis (SA) and topic supervised classification of the comments posted by LastQuake app users related to the 30th October 2020 Aegean earthquake. LastQuake app is a crowdsource-based earthquake information app that allows eyewitnesses to share information about the earthquakes that they felt, combined with seismic data. This app was developed by the European-Mediterranean Seismological Centre (EMSC). Attributes and data contained in the database are: § eq_evid : Number of the earthquake the comment is associated with § eq_mag : magnitude of the event § eq_t0 : Origin time (UTC) § intensity: felt report intensity (as before leaving a comment users must leave a felt report) § epidist : distance from the event of the comment, in km § dt : response time from the origin time of the associated event, in seconds § rate_pos : number of positive rates * § rate_neg : number of negative rates* § device : device from which the comment was left (desktop, mobile ou app) § comm_valid : 0 or 1 depending on if we validated the comment or not. We invalidate comments when we consider them inappropriate (violence, insults,...) § language: Original language on which the comment was written § polarity: Polarity on which the comment is classified, i.e. positive, negative, neutral § topic: Main topic addressed in the comment, i.e. building damages, tsunami effects, geotechnical effects, lifelines affected, emergency response, solidarity messages, preparedness, seismic information, intensity and unrealted. § comment: comment posted by LastQuake app user translated to English |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://data.ncl.ac.uk/articles/dataset/Polarity_and_topic_supervised_classification_of_LastQuake_ap... |
| Title | Polarity supervised classification of Twitter data posted in English related to the 10th anniversary of the 2010 Maule earthquake in Chile |
| Description | This database contains the supervised classification of the tweets originally posted in English related to the 10th anniversary of the Maule Earthquake in Chile on Febrary 27, 2010. Tweets were collected by a third-party vendor between December 11, 2019 to April 23, 2020 including the hashtags: #27F, #Maule, #PorUnaLeyDeCostasEnChile, #Chile and #Terremoto. A total of 44,189 tweets were collected, from this sample, only 237 (0.54%) tweets were originally posted or retweeted in English, which can be explained by the fact that Chile is a Spanish speaking country. After removing the not related tweets the sample was reduced to 121 (0.27%). Despite being a small sample, based on additional analysis, we state that this is a representative sample of the opinions related to this commemoration. The high number of not related tweets is given that the hashtag #27F is also included in tweets related to celebrating the Independence of the Dominican Republic and the International Polar Bear Day; the birthday of José Vasconcelos (Mexican writer, philosopher, and politician), Elizabeth Taylor (American actress) and José Antonio Meade Kuribreña (Mexican politician). Other tweets that include the hashtag #27F are those commemorating the 'Caracazo' (protests, riots and looting that started on February 27 1989 in Caracas, Venezuela); the dead of Mauricio Garcés (Mexican actor) and Eyker Daniel Rojas (Venezuelan citizen assassinated during the Caracazo). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | This classification dataset is an essential component of the post-disaster recovery assessment on the 10th anniversary of the Maule earthquake in Chile. The results of the supervised classification of this data will be presented at the 17th World Earthquake Conference on Earthquake Engineering (17WCEE) in Sendai (Japan) on the 2nd October 2021: Contreras, D., Wilkinson, S., Balan, N., Phengsuwan, J., & James, P. (2020). Assessing Post-disaster Recovery Using Sentiment Analysis. The case of L'Aquila, Haiti, Chile and Canterbury Paper presented at the 17th World Conference on Earthquake Engineering (17WCEE), Sendai, Japan. |
| URL | https://data.ncl.ac.uk/articles/dataset/Polarity_supervised_classification_of_Twitter_data_posted_in... |
| Title | Polarity supervised classification of Twitter data related to the 10th anniversary of the L'Aquila 2009 earthquake |
| Description | This database contain the supervised classification of the tweets related to the 10th anniversary of the earthquake in L'Aquila according to their polarity for the assesment of the post-disaster recovery process. Tweets were collected by the third-party vendor: TweetBinder in the period from April 4th to 10th 2019, with the hashtag:#L'Aquila. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://data.ncl.ac.uk/articles/dataset/Polarity_supervised_classification_of_Twitter_data_related_t... |
| Title | Polarity supervised classification of Twitter data related to the 10th anniversary of the L'Aquila 2009 earthquake |
| Description | This database contains the supervised classification of the tweets related to the 10th anniversary of the earthquake in L'Aquila according to their polarity for the assessment of the post-disaster recovery process. Tweets were collected by the third-party vendor: TweetBinder in the period from April 4th to 10th 2019, with the hashtag:#L'Aquila |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | This database contains the data classified for the manuscript: Contreras, D., Wilkinson, S., Balan, N., & James, P. (2020). Assessing Post-disaster Recovery Using Sentiment Analysis (SA). The case of L'Aquila, Italy (Major revisions submitted - Awaiting Reviewer Scores). Earthquake Spectra. |
| Title | Sentiment (supervised polarity classification) and topic analysis of LastQuake app user's comments - Aegean 2020 earthquake |
| Description | This database contains the sentiment analysis (SA) and topic supervised classification of the comments posted by LastQuake app users related to the 30th October 2020 Aegean earthquake. LastQuake app is a crowdsource-based earthquake information app that allows eyewitnesses to share information about the earthquakes that they felt, combined with seismic data. This app was developed by the European-Mediterranean Seismological Centre (EMSC). Attributes and data contained in the database are: § eq_evid : Number of the earthquake the comment is associated with § eq_mag : magnitude of the event § eq_t0 : Origin time (UTC) § intensity: felt report intensity (as before leaving a comment users must leave a felt report) § epidist : distance from the event of the comment, in km § dt : response time from the origin time of the associated event, in seconds § rate_pos : number of positive rates * § rate_neg : number of negative rates* § device : device from which the comment was left (desktop, mobile ou app) § comm_valid : 0 or 1 depending on if we validated the comment or not. We invalidate comments when we consider them inappropriate (violence, insults,...) § language: Original language on which the comment was written § polarity: Polarity on which the comment is classified, i.e. positive, negative, neutral § topic: Main topic addressed in the comment, i.e. building damages, tsunami effects, geotechnical effects, lifelines affected, emergency response, solidarity messages, preparedness, seismic information, intensity and unrealted. § comment: comment posted by LastQuake app user translated to English |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://data.ncl.ac.uk/articles/dataset/Polarity_and_topic_supervised_classification_of_LastQuake_ap... |
| Title | Sentiment analysis (SA) (supervised and unsupervised classification) of original Twitter data posted in English about the 10th anniversary of the 2010 Haiti Earthquake |
| Description | This dataset contains the sentiment analysis (SA) of original tweets posted in English by users related to the 10th anniversary of the 2010 Haitian earthquake. Tweets are classified according to their polarity or not related. This classification includes supervised and unsupervised classification. The first author performed the supervised classification and trained the tweets on the MonkeyLearn platform at the tweet level using samples of 1, 5 and 10 per cent of the tweets in the dataset (excluded to test ACC in the prediction). This supervised classification is compared to the unsupervised classification performed by 'MonkeyLearn', 'troberta' and 'btweet'. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | This dataset compares the accuracy (ACC) of three tools for unsupervised text classification: a no-code machine learning (ML) classification platform: 'MonkeyLearn' and two trained models finetuned for SA: 'troberta' and 'btweet'. These last ones are language models based on RoBERTa (https://aclanthology.org/2020.findings-emnlp.148/) and BERTweet (https://aclanthology.org/2020.emnlp-demos.2/) architecture, respectively. Both models are available in the platform: Hugging Face. We can observe that the average confidence in the classification increase with the number of trained tweets in the case of 'MonkeyLearn' (0.39, 0.56 and 0.64) while the average confidence in their own classification by 'troberta' (0.89) and 'btweet' (0.92) is very high and higher than MonkeyLearn's average confidence. |
| URL | https://data.ncl.ac.uk/articles/dataset/Sentiment_analysis_SA_supervised_and_unsupervised_classifica... |
| Title | Sentiment analysis (SA) (supervised and unsupervised classification) of original Twitter data posted in English about the 10th anniversary of the 2010 Haiti Earthquake |
| Description | This dataset contains the sentiment analysis (SA) of original tweets posted in English by users related to the 10th anniversary of the 2010 Haitian earthquake. Tweets are classified according to their polarity or not related. This classification includes supervised and unsupervised classification. This dataset compares the accuracy (ACC) of three tools for unsupervised text classification: a no-code machine learning (ML) classification platform: 'MonkeyLearn' and two trained models finetuned for SA: 'troberta' and 'btweet'. These last ones are language models based on RoBERTa (https://aclanthology.org/2020.findings-emnlp.148/) and BERTweet (https://aclanthology.org/2020.emnlp-demos.2/) architecture, respectively. Both models are available in the platform: Hugging Face. The first author performed the supervised classification and trained the tweets on the MonkeyLearn platform at the tweet level using samples of 1, 5 and 10 per cent of the tweets in the dataset (excluded to test ACC in the prediction). This supervised classification is compared to the unsupervised classification performed by 'MonkeyLearn', 'troberta' and 'btweet'. We can observe that the average confidence in the classification increase with the number of trained tweets in the case of 'MonkeyLearn' (0.39, 0.56 and 0.64) while the average confidence in their own classification by troberta (0.89) and btweet (0.92) is very high and higher than MonkeyLearn's average confidence. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://data.ncl.ac.uk/articles/dataset/Sentiment_analysis_SA_supervised_and_unsupervised_classifica... |
| Title | Sentiment analysis (SA) (supervised and unsupervised classification) of original Twitter data posted in English about the 10th anniversary of the 2010 Haiti Earthquake |
| Description | This dataset contains the sentiment analysis (SA) of original tweets posted in English by users related to the 10th anniversary of the 2010 Haitian earthquake. Tweets are classified according to their polarity or not related. This classification includes supervised and unsupervised classification. This dataset compares the accuracy (ACC) of three tools for unsupervised text classification: a no-code machine learning (ML) classification platform: 'MonkeyLearn' and two trained models finetuned for SA: 'troberta' and 'btweet'. These last ones are language models based on RoBERTa (https://aclanthology.org/2020.findings-emnlp.148/) and BERTweet (https://aclanthology.org/2020.emnlp-demos.2/) architecture, respectively. Both models are available in the platform: Hugging Face. The first author performed the supervised classification and trained the tweets on the MonkeyLearn platform at the tweet level using samples of 1, 5 and 10 per cent of the tweets in the dataset (excluded to test ACC in the prediction). This supervised classification is compared to the unsupervised classification performed by 'MonkeyLearn', 'troberta' and 'btweet'. We can observe that the average confidence in the classification increase with the number of trained tweets in the case of 'MonkeyLearn' (0.39, 0.56 and 0.64) while the average confidence in their own classification by troberta (0.89) and btweet (0.92) is very high and higher than MonkeyLearn's average confidence. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://data.ncl.ac.uk/articles/dataset/Sentiment_analysis_SA_supervised_and_unsupervised_classifica... |
| Title | Sentiment analysis (supervised and unsupervised classification) of original Twitter data posted in English about the 10th anniversary of the 2010 Haiti Earthquake |
| Description | This database contains the sentiment analysis (SA) of original tweets posted in English by users related to the 10th anniversary of the 2010 Haitian earthquake. This classification includes supervised and unsupervised classification. The latest one was performed using the no-code machine learning (ML) platform for text analysis: MonkeyLearn comparing the classification's confidence and accuracy (ACC) when training the algorithm with the 1, 5 and 10 per cent of the tweets. We can observe that the confidence and the ACC and the confidence in the classification increase as the number of trained tweets. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | This database contributes to the assessment of the progress of the post-disaster recovery after the 2010 Haiti earthquake. The next step will be the topic analysis to determine the aspects that have delayed the recovery in this country after this earthquake and before the 2021 earthquake. Additionally shows different levels of confidence and accuracy in the prediction of the classification of the tweets according to the size of the sample (1%, 5%, 10%) used for training the machine learning (ML) algorithm included in the MonkeyLearn platform, a no-code tool for sentiment analysis. |
| URL | https://data.ncl.ac.uk/articles/dataset/Sentiment_analysis_supervised_and_unsupervised_classificatio... |
| Title | Sentiment analysis (supervised and unsupervised classification) of original Twitter data posted in English about the 10th anniversary of the 2010 Haiti Earthquake |
| Description | This database contains the sentiment analysis (SA) of original tweets posted in English by users related to the 10th anniversary of the 2010 Haitian earthquake. This classification includes supervised and unsupervised classification. The latest one was performed using the no-code machine learning (ML) platform for text analysis: MonkeyLearn comparing the classification's confidence and accuracy (ACC) when training the algorithm with the 1, 5 and 10 per cent of the tweets. We can observe that the confidence and the ACC and the confidence in the classification increase as the number of trained tweets. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://data.ncl.ac.uk/articles/dataset/Sentiment_analysis_supervised_and_unsupervised_classificatio... |
| Title | Sentiment analysis (supervised and unsupervised polarity classification) of Twitter data about the Albania 2019 earthquake |
| Description | This database contains the comparison of results between the supervised and unsupervised polarity classification of the tweets related to the 2019 Albania earthquake. The database was constructed with the aim to test the accuracy of the algorithm developed by MonkeyLearn for polarity classification. 675 Tweets with the hashtags: #Albania #AlbanianEarthquake #albanianearthquake from the 26th November 2019 to the 3rd February 2020 were collected by the third-party vendor: TweetBinder. The social media department of Newcastle University provided us with 1001 tweets with the hashtags: #Albania collected from the 31st January to the 2nd February 2020. After removing repeated tweets from the database, we obtained a dataset made up of 255 original tweets. This database only contains text data of original tweets (no retweets). Attributes and data contained: -N: Number of the tweet -Tweet: Text data -ML-Classification: Unsupervised polarity classification performed by the algorithm developed by MonkeyLearn. -Confidence: Percentage of trust that the predicted polarity is right -RB-Classification: Supervised polarity classification performed by experts. -Accuracy: Coincidence indicated by 1 in polarity predicted by the unsupervised classification and the supervised classification. No coincidence is indicated by 0. -TPt: true positive -FPtNg: misclassified as Positive then False positive, when it is negative -FPtNt: misclassified as Positive then False positive , when it is Neutral -TNg: true negative -FNgPt: missclasified as Negative then False negative when it is Postive. -FNgNt: missclasified as Negative then False negative when it is Neutral. -TNt: true neutral -FNt Pt: missclasified as Neutral, then False-Neutral when it is Positive -FNtNg: and missclasified as Neutral, then False-Neutral, when it is negative. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://data.ncl.ac.uk/articles/dataset/Supervised_unsupervised_polarity_classification_of_Twitter_d... |
| Title | Sentiment analysis (supervised and unsupervised polarity classification) of Twitter data about the Albania 2019 earthquake |
| Description | This database contains the comparison of results between the supervised and unsupervised polarity classification of the tweets related to the 2019 Albania earthquake. The database was constructed with the aim to test the accuracy of the algorithm developed by MonkeyLearn for polarity classification. 675 Tweets with the hashtags: #Albania #AlbanianEarthquake #albanianearthquake from the 26th November 2019 to the 3rd February 2020 were collected by the third-party vendor: TweetBinder. The social media department of Newcastle University provided us with 1001 tweets with the hashtags: #Albania collected from the 31st January to the 2nd February 2020. After removing repeated tweets from the database, we obtained a dataset made up of 255 original tweets. This database only contains text data of original tweets (no retweets). Attributes and data contained: -N: Number of the tweet -Tweet: Text data -ML-Classification: Unsupervised polarity classification performed by the algorithm developed by MonkeyLearn. -Confidence: Percentage of trust that the predicted polarity is right -RB-Classification: Supervised polarity classification performed by experts. -Accuracy: Coincidence indicated by 1 in polarity predicted by the unsupervised classification and the supervised classification. No coincidence is indicated by 0. -TPt: true positive -FPtNg: misclassified as Positive then False positive, when it is negative -FPtNt: misclassified as Positive then False positive , when it is Neutral -TNg: true negative -FNgPt: missclasified as Negative then False negative when it is Postive. -FNgNt: missclasified as Negative then False negative when it is Neutral. -TNt: true neutral -FNt Pt: missclasified as Neutral, then False-Neutral when it is Positive -FNtNg: and missclasified as Neutral, then False-Neutral, when it is negative. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://data.ncl.ac.uk/articles/dataset/Supervised_unsupervised_polarity_classification_of_Twitter_d... |
| Title | Sentiment analysis (supervised polarity classification) of Twitter data about the 10th anniversary of the L'Aquila 2009 earthquake |
| Description | This database contain the supervised classification of the tweets related to the 10th anniversary of the earthquake in L'Aquila according to their polarity for the assesment of the post-disaster recovery process. Tweets were collected by the third-party vendor: TweetBinder in the period from April 4th to 10th 2019, with the hashtag:#L'Aquila. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://data.ncl.ac.uk/articles/dataset/Polarity_supervised_classification_of_Twitter_data_related_t... |
| Title | Sentiment and topic analysis (Supervised classification) of Twitter data about the 5th anniversary of the 2015 Gorkha Earthquake |
| Description | This dataset contains the sentiment and topic analysis at the post level of tweets posted three hours before and three hours after the exact time of the earthquake at Nepal standard time: local time: 11:56:25 and 06:11:25 UTC. This classification was manually done and validated through the 2022 Earthquake Engineering Field Investigation Team (EEFIT) return mission to Nepal. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | This dataset is the base for the sentiment and topic analysis of the recovery of Nepal after the 2015 Gorkha earthquake. The analysis will be integrated into the report of the 2022 Earthquake Engineering Field Investigation Team (EEFIT) return mission to Nepal. Preliminary results of this analysis were presented on May 23rd, 2022 in Kathmandu (Nepal) and on September 13th, 2022, at the Institution of Structural Engineers (IstructE) headquarters in London (UK). |
| URL | https://data.ncl.ac.uk/articles/dataset/Sentiment_and_topic_analysis_Supervised_classification_of_Tw... |
| Title | Supervised & unsupervised polarity classification of Twitter data related to the Albania 2019 earthquake |
| Description | This database contains the comparison of results between the supervised and unsupervised polarity classification of the tweets related to the 2019 Albania earthquake. The database was constructed with the aim to test the accuracy of the algorithm developed by MonkeyLearn for polarity classification. 675 Tweets with the hashtags: #Albania #AlbanianEarthquake #albanianearthquake from the 26th November 2019 to the 3rd February 2020 were collected by the third-party vendor: TweetBinder. The social media department of Newcastle University provided us with 1001 tweets with the hashtags: #Albania collected from the 31st January to the 2nd February 2020. After removing repeated tweets from the database, we obtained a dataset made up of 255 original tweets. This database only contains text data of original tweets (no retweets). Attributes and data contained: -N: Number of the tweet -Tweet: Text data -ML-Classification: Unsupervised polarity classification performed by the algorithm developed by MonkeyLearn. -Confidence: Percentage of trust that the predicted polarity is right -RB-Classification: Supervised polarity classification performed by experts. -Accuracy: Coincidence indicated by 1 in polarity predicted by the unsupervised classification and the supervised classification. No coincidence is indicated by 0. -TPt: true positive -FPtNg: misclassified as Positive then False positive, when it is negative -FPtNt: misclassified as Positive then False positive , when it is Neutral -TNg: true negative -FNgPt: missclasified as Negative then False negative when it is Postive. -FNgNt: missclasified as Negative then False negative when it is Neutral. -TNt: true neutral -FNt Pt: missclasified as Neutral, then False-Neutral when it is Positive -FNtNg: and missclasified as Neutral, then False-Neutral, when it is negative. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://data.ncl.ac.uk/articles/dataset/Supervised_unsupervised_polarity_classification_of_Twitter_d... |
| Title | Supervised & unsupervised polarity classification of Twitter data related to the Albania 2019 earthquake |
| Description | This database contains the comparison of results between the supervised and unsupervised polarity classification of the tweets related to the 2019 Albania earthquake. The database was constructed with the aim to test the accuracy of the algorithm developed by MonkeyLearn for polarity classification. 675 Tweets with the hashtags: #Albania #AlbanianEarthquake #albanianearthquake from the 26th November 2019 to the 3rd February 2020 were collected by the third-party vendor: TweetBinder. The social media department of Newcastle University provided us with 1001 tweets with the hashtags: #Albania collected from the 31st January to the 2nd February 2020. After removing repeated tweets from the database, we obtained a dataset made up of 255 original tweets. This database only contains text data of original tweets (no retweets). Attributes and data contained: -N: Number of the tweet -Tweet: Text data -ML-Classification: Unsupervised polarity classification performed by the algorithm developed by MonkeyLearn. -Confidence: Percentage of trust that the predicted polarity is right -RB-Classification: Supervised polarity classification performed by experts. -Accuracy: Coincidence indicated by 1 in polarity predicted by the unsupervised classification and the supervised classification. No coincidence is indicated by 0. -TPt: true positive -FPtNg: misclassified as Positive then False positive, when it is negative -FPtNt: misclassified as Positive then False positive , when it is Neutral -TNg: true negative -FNgPt: missclasified as Negative then False negative when it is Postive. -FNgNt: missclasified as Negative then False negative when it is Neutral. -TNt: true neutral -FNt Pt: missclasified as Neutral, then False-Neutral when it is Positive -FNtNg: and missclasified as Neutral, then False-Neutral, when it is negative. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | This database was developed to test the accuracy of the automatic sentiment analysis (SA) machine learn algorithm for classification developed by MonkeyLearn. This accuracy test was undertaken to check the feasibility of using this algorithm to identify polarity (positive, neutral, negative and unrelated) in text data related to the emergency response and early recovery. We hypothesise that negative polarity is associated with the high impact after earthquakes and that topics such as building damages, lifelines affected, and geotechnical effects will be also associated with negative polarity. If the hypothesis is true, then polarity may be able to be used as a proxy for the degree of damage, and therefore, SA will be a very quick, easy method of obtaining damage statistics over a wide area |
| URL | https://data.ncl.ac.uk/articles/dataset/Supervised_unsupervised_polarity_classification_of_Twitter_d... |
| Title | Supervised polarity and topic classification of LastQuake app user's pictures with comments - Zagreb 2020 earthquake |
| Description | This database contains the sentiment analysis (SA) and topic supervised classification of the comments posted with pictures by LastQuake app users related to the 22nd March 2020 Zagreb earthquake. LastQuake app is a crowdsource-based earthquake information app that allows eyewitnesses to share information about the earthquakes that they felt, combined with seismic data. This app was developed by the European-Mediterranean Seismological Centre (EMSC). Attributes and data contained in the database are: - eq_evid : Number of the earthquake the comment is associated with- eq_mag : magnitude of the event- eq_t0 : Origin time (UTC)- intensity: felt report intensity (as before leaving a comment users must leave a felt report)- epidist : distance from the event of the comment, in km- dt : response time from the origin time of the associated event, in seconds- rate_pos : number of positive rates *- rate_neg : number of negative rates* - device : device from which the comment was left (desktop, mobile ou app)- comm_valid : 0 or 1 depending on if we validated the comment or not. We invalidate comments when we consider them inappropriate (violence, insults,...)- language: Original language on which the comment was written- polarity: Polarity on which the comment is classified, i.e. positive, negative, neutral- topic: Building damages and intensity- comment: comment posted by LastQuake app user translated to EnglishLastQuake app obtained 31,911intensity reports from its users with comments, considered as text data, from which it has been possible to translate 31,403 (98%). The citizens included in their comments 361 pictures. After data processing, 314 (87%) pictures were selected for damage assessment. However, this database contains the classification of only those intensity reports that include pictures and comments: 45. This clarification is because some intensity reports from LasQuake app users include only comments or only pictures and some of them include both, and these are the intensity reports contained in this database. The supervised or unsupervised classification of the total number of comments posted by the LastQuake app users' with respect to the 22nd March 2020 Zagreb earthquake will be displayed in another database in the future. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | The results of the supervised classification of this data were presented at the 1st Croatian Conference on Earthquake Engineering 1CroCEE: Contreras, D., Wilkinson, S., Fallou, L., Landès, M., Tomljenovich, I., Bossu, R., . . . James, P. (2021). Assessing Emergency Response and Early Recovery using Sentiment Analysis (SA). The case of Zagreb, Croatia Paper presented at the 1st Croatian Conference on Earthquake Engineering (1CroCEE) 2021, Zagreb, Croatia. https://crocee.grad.hr/event/1/attachments/1/45/Proceedings_CroCEE.pdf This conference paper will be published in a special issue organised by the Faculty of Civil Engineering of the University of Zagreb. |
| URL | https://data.ncl.ac.uk/articles/dataset/Supervised_polarity_and_topic_classification_of_LastQuake_ap... |
| Description | EEFIT 2022 Return mission to Nepal |
| Organisation | Cardiff University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I was in charge of contributing to the organisation of the workshop on Nepal Earthquake Recovery and Reconstruction. This workshop was organised jointly by the Earthquake Engineering Field Investigation Team (EEFIT) and Scott Willson (SW) Nepal. The workshop aimed to investigate the recovery and reconstruction and 'built back better' approach in Nepal, analysing both the physical reconstruction and the institutional framework for Disaster Risk Reduction (DRR). Speakers included both national and international experts in a range of relevant fields. I particularly presented the topic: Post-disaster recovery assessment analysing social media data. The case of the 2015 Gorkha earthquake. Nepal Earthquake Recovery and Reconstruction. This workshop involved a participatory approach with discussions and resilience assessment in the form of a survey to which I contributed to structuring. I also led the closing workshop: Discussing post-disaster recovery via ludic activities. Presentation at ICTPHE Conference in Kerala |
| Collaborator Contribution | My partner from AECOM lead the mission. My partners from Delft University of Technology (TU Delft) led the geospatial approach. The partner from Newcastle University provided funding for the workshop and my travel expenses regarding transport. Partners from Newcastle, AECOM, DELF, ARUP and the University College of London (UCL) undertook with me fieldwork visiting world heritage (WH) sites and schools. |
| Impact | The workshops on Nepal Earthquake Recovery and Reconstruction was attended by 57 practitioners from the private and government sector. The workshop: 'Discussing post-disaster recovery via ludic activities' was attended by 9 participants from the private and government and non-governmental sectors. Online presentation at the International Colloquium on Translational Engineering and Research (ICTER) 2022 in Kerala, India. Presentation entitled:' Post-disaster recovery assessment analysing social media data. 2015 Gorkha earthquake. Nepal Earthquake Recovery and Reconstruction. The conference was attended by 221 participants. |
| Start Year | 2019 |
| Description | EEFIT 2022 Return mission to Nepal |
| Organisation | Newcastle University |
| Department | School of Civil Engineering and Geosciences |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I was in charge of contributing to the organisation of the workshop on Nepal Earthquake Recovery and Reconstruction. This workshop was organised jointly by the Earthquake Engineering Field Investigation Team (EEFIT) and Scott Willson (SW) Nepal. The workshop aimed to investigate the recovery and reconstruction and 'built back better' approach in Nepal, analysing both the physical reconstruction and the institutional framework for Disaster Risk Reduction (DRR). Speakers included both national and international experts in a range of relevant fields. I particularly presented the topic: Post-disaster recovery assessment analysing social media data. The case of the 2015 Gorkha earthquake. Nepal Earthquake Recovery and Reconstruction. This workshop involved a participatory approach with discussions and resilience assessment in the form of a survey to which I contributed to structuring. I also led the closing workshop: Discussing post-disaster recovery via ludic activities. Presentation at ICTPHE Conference in Kerala |
| Collaborator Contribution | My partner from AECOM lead the mission. My partners from Delft University of Technology (TU Delft) led the geospatial approach. The partner from Newcastle University provided funding for the workshop and my travel expenses regarding transport. Partners from Newcastle, AECOM, DELF, ARUP and the University College of London (UCL) undertook with me fieldwork visiting world heritage (WH) sites and schools. |
| Impact | The workshops on Nepal Earthquake Recovery and Reconstruction was attended by 57 practitioners from the private and government sector. The workshop: 'Discussing post-disaster recovery via ludic activities' was attended by 9 participants from the private and government and non-governmental sectors. Online presentation at the International Colloquium on Translational Engineering and Research (ICTER) 2022 in Kerala, India. Presentation entitled:' Post-disaster recovery assessment analysing social media data. 2015 Gorkha earthquake. Nepal Earthquake Recovery and Reconstruction. The conference was attended by 221 participants. |
| Start Year | 2019 |
| Description | EEFIT 2022 Return mission to Nepal |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I was in charge of contributing to the organisation of the workshop on Nepal Earthquake Recovery and Reconstruction. This workshop was organised jointly by the Earthquake Engineering Field Investigation Team (EEFIT) and Scott Willson (SW) Nepal. The workshop aimed to investigate the recovery and reconstruction and 'built back better' approach in Nepal, analysing both the physical reconstruction and the institutional framework for Disaster Risk Reduction (DRR). Speakers included both national and international experts in a range of relevant fields. I particularly presented the topic: Post-disaster recovery assessment analysing social media data. The case of the 2015 Gorkha earthquake. Nepal Earthquake Recovery and Reconstruction. This workshop involved a participatory approach with discussions and resilience assessment in the form of a survey to which I contributed to structuring. I also led the closing workshop: Discussing post-disaster recovery via ludic activities. Presentation at ICTPHE Conference in Kerala |
| Collaborator Contribution | My partner from AECOM lead the mission. My partners from Delft University of Technology (TU Delft) led the geospatial approach. The partner from Newcastle University provided funding for the workshop and my travel expenses regarding transport. Partners from Newcastle, AECOM, DELF, ARUP and the University College of London (UCL) undertook with me fieldwork visiting world heritage (WH) sites and schools. |
| Impact | The workshops on Nepal Earthquake Recovery and Reconstruction was attended by 57 practitioners from the private and government sector. The workshop: 'Discussing post-disaster recovery via ludic activities' was attended by 9 participants from the private and government and non-governmental sectors. Online presentation at the International Colloquium on Translational Engineering and Research (ICTER) 2022 in Kerala, India. Presentation entitled:' Post-disaster recovery assessment analysing social media data. 2015 Gorkha earthquake. Nepal Earthquake Recovery and Reconstruction. The conference was attended by 221 participants. |
| Start Year | 2019 |
| Description | EEFIT Aegean mission - METU University |
| Organisation | Middle East Technical University |
| Department | Department Of Civil Engineering |
| Country | Turkey |
| Sector | Academic/University |
| PI Contribution | The expenses done by students during fieldwork were reimbursed from the grant. |
| Collaborator Contribution | The Earthquake Engineering Field Investigation Team (EEFIT) has supported the activity through guidance on the risk assessment procedures. UCL provided the training on the EEFIT Mobile App. |
| Impact | The mission activity carried out between the 16th November and the 17th December 2020 inclusive of a thorough desk study, fieldwork in Turkey and Greece, interviews with a number of stakeholders and a public survey. Mission lecture, delivered on the 17th December 2020, available at https://www.istructe.org/resources/case-study/2020-eefit-aegean-earthquake-mission/ Mission report titled "The Aegean Earthquake and Tsunami of 30 October 2020" by Aktas et al. to discuss seismotectonic and geological aspects, as well as structural and non-structural implications of the event, and hybrid reconnaissance methods (currently under review, to be published by EEFIT). All these outputs and outcomes are a joint effort of structural, civil, geotechnical and earthquake engineers, seismologists, geologists and architects from a number of organisations from the UK, Turkey and Greece including Newcastle University, the University College of London (UCL), University of Cambridge, METU, Canakkale Onsekiz Mart Uni, National Kapodistrian University of Athens, Imperial College, Greenwich Uni, Arup, Mott Macdonald and Atkins. |
| Start Year | 2020 |
| Description | Earthquake Engineering Field Investigation Team (EEFIT) |
| Organisation | Institution of Structural Engineers |
| Department | Earthquake Engineering Field Investigation Team |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | This grant is conducted in collaboration with EEFIT, where the grant holders and EEFIT decide on what earthquakes to conduct earthquake reconnaissance and perform joint missions. they also help to manage the network of researchers |
| Collaborator Contribution | They help to conduct workshop, organise EEFIT management meetings |
| Impact | Earthquake reconnaissance training workshop |
| Start Year | 2017 |
| Description | LastQuake app data sharing |
| Organisation | European-Mediterranean Seismological Centre |
| Country | France |
| Sector | Charity/Non Profit |
| PI Contribution | We have received the raw data related to the earthquakes in Albania (2019), Zagreb (2020) and Turkey-Greece or Aegean earthquake (2020) provided by the Euro-Mediterranean Seismological Centre (EMSC). The data provided consist of text and images collected by the LastQuake app users, the app developed by EMSC after the earthquakes mentioned. So far we have processed and classified the text data related to the Aegean earthquake and currently, we are in the process of cleaning the text-data of the earthquakes in Albania and Zagreb. We already cleaned the database of image data of the Aegean earthquake and Zagreb. |
| Collaborator Contribution | The Euro-Mediterranean Seismological Centre (EMSC) has provided us with image and text data, distributed in this way: - Albania earthquake : 28,290 comments - 368 pictures - Zagreb 22March 2020 earthquake : 31,911 comments - 361 pictures - Aegean earthquake: 3028 comments - 88 pictures |
| Impact | - Contreras, D., Wilkinson, S., Fallou, L., Landès, M., Tomljenovich, I., Balan, N., . . . James, P. (2021). Assessing Emergency Response and Early Recovery using Sentiment Analysis (SA). The case of Zagreb, Croatia (abstract accepted - paper under review). Paper presented at the 1st Croatian Conference on Earthquake Engineering - 1CroCEE 2021, Zagreb, Croatia. https://crocee.grad.hr/event/1/page/10-why-1crocee - Aktas, Y. D., Kösker, A., O'kane, A., Özden, A. T., Durmaz, B., Kazantzidou-Firtinidou, D., . . . Putrino, V. (2021). The Aegean earthquake and tsunami of 30 October 2020 (on revision). Retrieved from London, United Kingdom |
| Start Year | 2020 |
| Description | LfE Zagreb Earthquake Remote Reconnaissance Mission Field Damage Surveys |
| Organisation | University of Zagreb |
| Country | Croatia |
| Sector | Academic/University |
| PI Contribution | University of Cambridge led the LfE team in conducting a remote reconnaissance mission after the March 2020 Zagreb earthquake. |
| Collaborator Contribution | Professor Josip Atalic and Professor Marta Šavor Novak from the Faculty of Civil Engineering supported master students Helena Majetic and Anamarija Babic in the planning, remote learning and implementation of damage surveys through the LfE damage app in the field from 18/05/2020 - 22/05/2020. |
| Impact | Online blog and report, and joint EEFIT and SECED presentation to an international online audience on the 27th January 2021. |
| Start Year | 2020 |
| Description | Zagreb remote mission - Zagreb University |
| Organisation | University of Zagreb |
| Country | Croatia |
| Sector | Academic/University |
| PI Contribution | The University of Cambridge led the Learning from Earthquakes (LFE) team in conducting a remote reconnaissance mission after the March 2020 Zagreb earthquake. |
| Collaborator Contribution | Professor Josip Atalic and Professor Marta Šavor Novak from the Faculty of Civil Engineering supported master students Helena Majetic and Anamarija Babic in the planning, remote learning and implementation of damage surveys through the LfE damage app in the field from 18/05/2020 - 22/05/202. |
| Impact | Online blog, report, joint EEFIT & SECED presentation to an international online audience on the 27th January 2021 and conference paper at the 1st Croatian Conference on Earthquake Engineering (1CroCEE 2021). |
| Start Year | 2020 |
| Title | EEFIT Mobile app |
| Description | The EEFIT Mobile app uses an existing off-the-shelf platform called Device Magic and is built following the tier assessment rationale, which depends on the amount of time the user is allowed to spend on site. The data collected is commensurate to this time and gets hierarchically organised so that there is no repetition, whilst guaranteeing that an increasingly detailed level of information is gathered in each successive tier. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2019 |
| Impact | The app has currently been tested during the following EEFIT Missions: the Albania Mission launched after the 26 November 2019 earthquake, the first-ever launched remote mission, after the March 2020 earthquake in Zagreb, Croatia, and the EEFIT Aegean Earthquake & Tsunami Mission. The EEFIT Mobile App Version 2.0 includes data capture relevant to earthquake damage and tsunami damage. The Mobile App liaises closely with the platform defined as spatial data infrastructure (SDI) for data managing and supports the automatic mapping of the data gathered on-site. |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/outputs/theeefitmobileapp.html |
| Title | SDI |
| Description | An SDI is an infrastructure aimed at supporting the data management (including storage), discovery, access, and easy retrieval and reuse of the geographic data collected and can be designed to support very varied users' needs. Unlike storage devices, the use of metadata (i.e, data about the data) assists in the classification of the data and, in turn, promotes the integration of data coming from disparate sources and thus limiting - if not eliminating - the need for parallel and costly data collection campaigns. The EEFIT Spatial Data Infrastructure is designed with a user's needs-centred approach to accommodate data collected in reconnaissance and recovery missions as well as training. Since missions can occur without internet connectivity, the SDI is designed to work on two complementary systems. The offline local SDI is hosted on a laptop computer which is carried during mission times. It is used to upload all the data that are collected during the mission, so that "no data is left behind" and that perishable information about the data are collated into a centralised place at the time of collection. Once uploaded the data are analysed by ad-hoc scripts so that key metadata can be extracted automatically. For the uploaded photos, the typical metadata include the time of capture, the resolution, information about the collecting device, and geolocation. The metadata and the data volunteered by the data collector at the time of upload are used to build a database of information linked to the collected data and to map the data that have geolocation. The local SDI is supported and augmented by a cloud-based SDI, which enriches the information available in the local SDI by adding a further layer of data richness. This is achieved by integrating the data collected with the EEFIT app and other apps that EEFIT may use to collect data. The EEFIT app de facto replaces the need for paper forms, which were used in the past. The integration of the SDI and the EEFIT app allows the user to collect disaster data at ease and to be guided in this process by the workflows that have been designed in the EEFIT app forms so that the data collected are standardised and can be easily compared. Once uploaded, the "data to maps" process is performed automatically by the SDI. The SDI has 3 components: an Uploader - which consists of a set of easy forms that can be accessed both offline and online to upload data to either the local SDI or the Cloud-based SDI, a Metadata Extractor which analysed the data and populates a database, and a Mapper that uses the data in the database to produce daily maps of what has been observed in the field. When there is no internet connectivity, the users will be able to see the locations that have been visited during daily deployments in the form of a trail of dots. Each of the dots represents the place where the geolocated data have been collected (e.g. geolocated picture of damaged building). If internet connectivity is present, the user will be able to download the data collected with the EEFIT app by accessing the app dashboard online. Once these data are also uploaded, new data attributes will be linked to the collected data. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2019 |
| Impact | The EEFIT SDI aims to: - Build institutional memory via collected data - Support multi-disciplinary data analysis and research - making the data more easily accessible to all - Prove the impact of EEFIT Missions in research - Streamline the data management process by using automatic and ad-hoc script that convert the uploaded data into web map |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/outputs/SDI.jpg |
| Description | 11 ncee special session on earthquake reconnaissance |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A workshop on future directions for earthquake reconnaissance was held as part of the 11 national conference on earthquake engineering. The workshop was attended by practicing engineers, academics and post-grad students and was aimed at setting the agenda for this discipline |
| Year(s) Of Engagement Activity | 2018 |
| Description | 2020 International Conference on Science in Engineering and Technology (ICOSIET) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Undergraduate students |
| Results and Impact | I presented the use of social media in emergency response having COVID-19 as a constraint for earthquake reconnaissance mission deployment in the case of the Zagreb 22March2020 earthquake. I also presented the data collected from Albania. Regarding Post-disaster Recovery, I presented the Twitter data collected for the cases of Haiti, Chile and L'Aquila during the 10th anniversary of these earthquakes. In the case of L'Aquila, the sentiment analysis method of twitter data for post-disaster recovery assessment was explained to the audience. As a recommendation, I suggested the audience safely support the collection of data after earthquakes by uploading pictures to social media platforms such as Twitter, Instagram, Facebook, Flickr or the LastQuake app from the Euro-Mediterranean Seismological Centre (EMSC). |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://easychair.org/cfp/icosiet2020 |
| Description | APP/SDI training |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | 8 people trained in the use of EEFIT app and their connection with the SDI to undertake the building damage survey after the earthquakes in Zagreb and the Aegean region in 2020. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/outputs/theeefitmobileapp.html |
| Description | Assessing Post-disaster Recovery Using Sentiment Analysis (SA). The cases of L'Aquila (Italy), Chile and Haiti |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | Seventeen participants attended the presentation by Dr Diana Contreras on the 17th World Conference in Earthquake Engineering (17WCEE) entitled: Assessing Post-disaster Recovery Using Sentiment Analysis (SA). The cases of L'Aquila (Italy), Chile and Haiti. The presentation took place on the 2nd October 2021 at 9:15 (JST), 1:15 (BST), 2:15 (CET) during Session O02A11:Post Disaster Assessment and Computational Science. Professor Colin Taylor from the University of Bristol asked about tweet data and if the team has used the data coming from Twitter for other kinds of events different to post-disaster recovery to calibrate the classification model. Dr Diana Contreras explained that Twitter data is classified according to their polarity to determine the success of the post-disaster recovery. To the second question, she answered that besides post-disaster recovery, the team at Newcastle University had explored the use of Twitter data and text data provided by the European-Mediterranean Seismological Centre (EMSC) collected from the LastQuake app' users to also assess emergency response and early recovery after earthquakes. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.youtube.com/watch?v=WbhItP8HeLA&t=5s |
| Description | BBC interview |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | BBC Science Editor, Rebecca Morelle and crew conducted a interview with Emily So and Tugce Tetik, a PhD student and part of the EEFIT Kahramanmaras Team. This recorded segment will form part of a BBC feature on the Turkey/ Syria earthquake. The BBC crew will also be filming work of the deployed field mission team from 13-17th March 2022 in Turkey. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://www.bbc.co.uk/news/science-environment-64920236 |
| Description | Blog for the EEFIT Mission to the 6 FEB 2023 Kahramanmaras Earthquake Sequence |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | A blog site was set up for the EEFIT Kahramanmaras Mission to Turkey, which will run between the 1st of March 2023, the start of the remote mission, to the end of the field reconnaissance mission on the 17th of March 2023. The blog is run by our whole team, divided into subgroups of interest and expertise and contains booth technical and non-technical content to cater for wide range of audiences. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://eefitkahramanmarash.wordpress.com/ |
| Description | Discussing post-disaster practices via ludic activities |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | This workshop closed the activities planned in the framework of the Earthquake Engineering Field Investigation Team (EEFIT) 2022 Return Mission to Nepal after the 2015 Gorkha earthquake. It took place on 27th May 2022 at the headquarters of Scott Wilson Nepal (SWN) in Kathmandu, Nepal and counted the participation of 9 people from the National Society for Earthquake Technology - Nepal (NSET), former members of the National Reconstruction Authority (NRA), workers of SWN and the leader of the EEFIT mission. This workshop is based on the methodology presented in the paper: 'Contreras, D. (2022). Learning about post-disaster phases via ludic activities: A case study of Santiago, Chile. International Journal of Disaster Risk Reduction, 72, 102842. doi:https://doi.org/10.1016/j.ijdrr.2022.102842' |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://twitter.com/DianaContrerasM/status/1530396822220382208 |
| Description | EEFIT - SECED UK evening talk: Remote earthquake reconnaissance feasibility study: Zagreb earthquake of March 2020 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The evening presentation was a joint EEFIT and SECED lecture which was delivered on 27 January 2021 with the aim of presenting the data collection and repository tools being developed in LfE and the findings of our remote reconnaissance exercise on the Zagreb earthquake in March 2020. A total of 150 people attended the event, and the presentation was followed by a discussion on the current situation in Croatia following the Zagreb and the December 2020 Petrinja earthquake, and the feasibility of hybrid reconnaissance activities in the future. The lecture can be viewed at https://www.ice.org.uk/eventarchive/the-zagreb-earthquake-of-march-2020-webinar. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.ice.org.uk/eventarchive/the-zagreb-earthquake-of-march-2020-webinar |
| Description | EEFIT Aegean mission 2020 |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | On 30 October 2020 at 2:51 pm Turkey and 1:51 pm Greece time, a Mw= 6.9 earthquake hit Aegean coasts of Turkey and Greece. The epicentre (37.8790-26.7030) was 14 km northeast of Avlakia in the Greek Island of Samos and some 25 km southwest of Izmir, Seferihisar Doganbey. This event's magnitude has been announced as 6.6 by the Disaster and Emergency Management Presidency (AFAD by its acronym in Turkish) and 7.0 by the United States Geological Survey (USGS). Notably, the event triggered a tsunami that affected a significant coastline between Alacati to Gumuldur in Turkey and Samos's northern coasts. The event was followed by more than 4000 aftershocks with up to Mw=4.7 (http://udim.koeri.boun.edu.tr/zeqmap/osmap.asp). The worst affected area is the Bayrakli district in Izmir, located some 70 km away from the epicentre. 116 out of a total of 119 casualties due to this event took place here, 17 buildings collapsed then and there, and others were heavily damaged. The mission launched by the Earthquake Engineering Field Investigation Team (EEFIT) for this event was carried out between the 16th November and the 17th December, inclusive of five-day field investigations in Izmir and its surroundings (the 30th November - 4th December), and eight days in Samos (the 2nd and the 3rd December & the 7th -11th December), as well as a total of 15 interviews with various stakeholders. The team was composed of 20 members and a support crew of 4. It covered multiple aspects of the event in the form of five working groups in seismotectonic, geotechnics, structures, tsunami, and relief and recovery. In addition to these, a team focussed on data analysis and representation including social media analysis, in support of the other sub-teams. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/virtualmissionforearthquakeincroatia.h... |
| Description | EEFIT Albania mission 2019 |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The Mw 6.4 November earthquake was the strongest seismic events to hit Albania in more than 40 years, and the deadliest earthquake globally for the entire 2019. The fatalities occurred primarily due to the collapse of nine buildings in the city of Durrës and in the town of Thumanë (in the Krujë municipality). The Earthquake Engineering Field Investigation Team (EEFIT) team visited the areas most affected by the earthquake, focusing on the housing sector. Despite no casualties were registered due to the failure of these buildings with mixed structural systems, in many of the investigated cases, such a typology showed a poor seismic response. Most of the inspected buildings sustained severe nonstructural damage mainly relating to severe cracking and/or out-of-plane failure of infills in the first 4-5 storeys, cracks in the stair legs and distorted elevator doors. Most of the inspected buildings of this category were characterised by poor maintenance and signs of deterioration. However, no external signs of earthquake-induced damage were observed and only minor cracks at the interface between the panels in the first two floors were observed from inside. Given the height of these buildings, as well as the characteristics of the recorded strong motions, an overall good seismic performance was observed for unreinforced masonry (URM) and CM buildings in clay or silicate bricks with reinforce concrete (RC) slabs due to their ability of working as whole up structure under seismic loads, given by the presence of strong connections between walls and rigidity of the horizontal diaphragms. It was observed that the status of conservation of the historical structures was altered by the presence of inadequate structural retrofitting interventions which, together with the presence of pre-existing damage, was found to be one of the main causes leading to the observed failures and severe damage. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/eefitmissionforthealbaniaearthquake.ht... |
| Description | EEFIT Evening Lecture: Building damage assessment and geotechnical problems after earthquakes |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | One hundred eighty-nine people registered, and eventually, 101 participants attended the EEFIT Evening Lecture: Building damage assessment and geotechnical problems after earthquakes. This Lecture is the first of the two Evening Lectures planned as part of the Earthquake Engineering Field Investigation Team (EEFIT) 2021 raining sessions. This session had as speakers: Dr Sean Wilkinson (Newcastle University); Viviana Novelli (Cardiff University); Valentina Putrino (Earthquake Research Analyst at Ariel RE); Dr Michael Whitworth (AECOM), and Mr Ziggy Lubkowski (ARUP). This session was organised and chaired by Dr Diana Contreras, Lecturer at Cardiff University and Visiting researcher at Newcastle University. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/eveninglectures2021.html |
| Description | EEFIT Field Mission in Albania Lecture in London (United Kingdom) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Members of EPICentre and CEGE UCL, Dr Fabio Freddi and Dr Roberto Gentile presented their field mission observations following the M6.4 earthquake in Albania in November 2019 as part of The Earthquake Engineering Field Investigation Team (EEFIT) Mission in the Institution of Structural Engineers (IStructE) HQ. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/albaniamissionpresentationinlondonuk.h... |
| Description | EEFIT Field Mission in Albania Lecture in Pavia (Italy) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Third sector organisations |
| Results and Impact | Mr. Enes Velius, a Ph.D. Candidate from the University Institute of Higher Studies (IUSS by its acronym in Italian) presented in Pavia, Italy the results of the EEFIT mission in Albania following the M6.4 earthquake, happened on the 26th November 2019. The presentation was mainly attended by staff of the non-governmental organization (NGO) Global Earthquake Model (GEM) Foundation. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/albaniamissionpresentationinpaviaitaly... |
| Description | EEFIT Management Committee Meeting B |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Steering Committee Meeting |
| Year(s) Of Engagement Activity | 2017 |
| Description | EEFIT Mission Training session |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | The half day workshop was organised jointly by EEFIT and the LFE project team to provide basic training for Team Leaders and Team Members to operate in post disaster field environments; to provide guidance on considerations for organising missions including roles and responsibilities; to provide guidance on Health and Safety procedures and related requirements before, during and after missions; to provide guidance on data collection in the field (where this particular grant fit in); and to provide guidance on expected EEFIT outputs including reporting formats and timelines for output delivery. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/eefitmissiontrainingsession.html |
| Description | EEFIT Nepal Return Mission: Shared knowledge on earthquake recovery and reconstruction |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | 17 people attended the presentation of the results of the 2022 Earthquake Engineering Field Investigation Team (EEFIT) return mission to Nepal. This presentation entitled was divided into nine parts: introduction, seismotectonics, post-disaster recovery assessment using social media; discussing of post-disaster recovery practices via ludic activities; remote sensing (InSAR); building back better schools; structures; cultural heritage and key messages. This presentation took place at the headquarters of the Institution of Structural Engineers (IstructE) in London on September 13th. The presentation started with the introduction of the Mission lead: Dr Michael Whitworth, followed by the presentations of Dr Diana Contreras from Cardiff University; Dr Giorgia Giardina, Dr Valentina Machiarulo and Ms Fatemeh Foroughnia from Delft University; Dr Sean Wilkinson from Newcastle University, Dr Rohit Adhikari from UCL and Dr Paul Jaquin from eZED. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/2022eefitnepalreturnmission-presentati... |
| Description | EEFIT management commitee meeting A |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Steering group meeting |
| Year(s) Of Engagement Activity | 2017 |
| Description | EEFIT management committee meetings |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | EEFIT management committee is the governing structure for the Earthquake Engineering Filed Investigation Team and is responsible for helping to organize all uk based earthquake reconnaissance efforts. There are 4 of these each year and this entry covers all 4 meetings |
| Year(s) Of Engagement Activity | 2012,2018 |
| Description | EEFIT mission training session |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | The half-day workshop was organized jointly by the Earthquake Engineering Field Investigation Team (EEFIT) and the Learning for Earthquakes (LFE) project team to provide basic training for team leaders and team members, who operate in post-disaster field environments: to provide guidance on considerations for organising mission including roles and responsibilities; to provide guidance on health and safety procedures and related requirements before; during and after missions; to provide guidance on data collection in the field (where this particular grant fit), and to provide guidance on expected EEFIT outputs including reporting formats and timelines for output delivery. My task was keeping audio-visual records of the EEFIT training session to feed the social media (website, Facebook, Twitter and Instagram accounts and Youtube channel). |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/eefittrainingsessionatistructe.html |
| Description | EEFIT training session 1: Mission Launch |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | 39 people registered for the Earthquake Engineering Training Field Investigation Team (EEFIT) training sessions that consist of three online sessions to take place on the 16th, 23rd and 30th of November. On November 16th, 2021, the first session entitled: Mission launch had 31 participants who worked in four breakout rooms. The organisation of these sessions were led by Dr Diana Contreras and supported in the promotion by the Institution of Structural Engineers (IstructE). The training session counted with Professor Alison Rabi, Dr Diana Contreras, Dr Josh Macabuag, Dr Sean Wilkinson, Dr Valentina Putrino and Dr Viviana Novelli as trainers. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://cardiff.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=2e473aaa-d46d-437f-86ad-ade20158eb35 |
| Description | EEFIT training session 2: In the field |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | 39 people registered for the Earthquake Engineering Training Field Investigation Team (EEFIT) training sessions that consist of three online sessions taking place on the 16th, 23rd and 30th of November. On November 23RD, 2021, the second session entitled: In the field had 28 participants who worked in four breakout rooms with different focuses: failures in structures due to tsunami; damages in infrastructure; damages on buildings; geotechnical effects of earthquakes. The organisation of these sessions were led by Dr Diana Contreras and this second session was also by Dr Josh Macabuag. The training session counted with Professor Alison Rabi (failures in structures due to tsunami), Dr Diana Contreras (Introduction and technical support), Dr Josh Macabuag (scenario and moderator), Dr Sean Wilkinson (damages in infrastructure), Dr Valentina Putrino (damages on buildings) and Dr Viviana Novelli (geotechnical effects of earthquakes) as trainers in the break-out rooms. This session counted with the support of Mr Sadra Amani in the breakout room addressing the geotechnical effects of earthquakes. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://cardiff.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=cc38196d-051a-4638-81eb-ade90150a08d |
| Description | EEFIT training session 3: Data management and outputs |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | 39 people registered for the Earthquake Engineering Training Field Investigation Team (EEFIT) training sessions that consisted of three online sessions taking place on the 16th, 23rd and 30th of November. On November 30th, 2021, the third and last session entitled: Data management and output had 25 participants who worked in four breakout rooms with different focuses: data obtained from interviews, data collected related to tsunami damage, data collected related to buildings damages and data collected from social media related to tsunami and building damages. The organisation of these sessions were led by Dr Diana Contreras and the scenarios were written by Dr Josh Macabuag. The training session counted with Professor Alison Rabi, Dr Sean Wilkinson, Dr Valentina Putrinoand Dr Viviana Novelli as trainers in the break-out rooms. This session counted with the support of Dr Yasemin Aktas on the topic of data management. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://cardiff.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=cfe2d209-f608-485c-a0bc-adf0014ada68 |
| Description | EEFIT training session on earthquake reconnaissance |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | The first Earthquake Engineering Field Investigation Team (EEFIT) mission training session in earthquakes reconnaissance took place on the 27th February 2020 at the headquarter of the Institution of Structural Engineers (IstructE) in London (United Kingdom). The training session was delivered by Mrs. Katherine Coates, Dr Sean Wilkinson, Mr. Keith Adams, Mr Joshua Macabuag, Miss Valentina Putrino and Dr. Diana Contreras. We counted with the attendance of 16 excellent participants. The aim of this training was to present the objectives of the EEFIT missions, the aspects to take into account for each mission based on lessons learned from previous missions, missions outputs, health and safety (H&S) measures to meet on each mission, data collection tools and carry out a simulation exercise to test the knowledge gained on H&S by the participants having as case the M6.4 earthquake in Puerto Rico on the 7 January 2020. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/eefittrainingsessionatistructe.html |
| Description | Earth Seminar Series |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | 26 people attended the online lecturer entitled:'Social media and crowdsourcing platforms in Disaster management' undertaken on the framework of the School seminar series organised by the Earth and Environmental Sciences School of Cardiff University. This talk presented the research related to the project Learning from Earthquakes, Work Package 5 tools development and workshops. Additionally, a proposal for further research was presented. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://studio.youtube.com/video/hK2G8rX7Dpk/edit |
| Description | Earthquake Reconnaissance - Building the Risk and Resilience Evidence Base |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Special issue on Frontiers journal entitled: 'Earthquake Reconnaissance - Building the Risk and Resilience Evidence Base'. This special issue was focused on earthquake reconnaissance, methodologies for collecting and disseminating data and lessons, data and damage statistics from previous earthquake reconnaissance missions as well as sharing experiences in conducting these missions and showcasing new ways of collecting earthquake data. It was particularly focused on: • Highlighting where existing data resides and how it may be accessed and interpreted. • New research that has used earthquake reconnaissance data to make new findings and knowledge. • Robust methodologies for collecting data, including statistically significant and unbiased data sets. • New data collection methodologies such as remote sensing or social media. • How failures in the built environment translates into social and economic consequences for communities, especially if these consequences can be attributed to specific types of failures either through quantitative evidence or narratives. • The implementation of successful or unsuccessful earthquake resilience policies. • How reconnaissance missions can be used to shape government policy or building codes and practices. The special issue counts with 8,275 views |
| Year(s) Of Engagement Activity | 2019,2020 |
| URL | https://www.frontiersin.org/research-topics/6000/earthquake-reconnaissance---building-the-risk-and-r... |
| Description | Earthquake Reconnaissance planning mission Mexico A |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | A meeting to discuss sending an Earthquake Reconnaissance mission to Mexico |
| Year(s) Of Engagement Activity | 2017 |
| Description | Earthquake Reconnaissance planning mission Mexico B |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | second Earthquake Reconnaissance planning mission Mexico |
| Year(s) Of Engagement Activity | 2017 |
| Description | EuroNews interview |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Interview for Euronews 09/02/2023 about earthquake in Turkey |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://www.euronews.com/2023/02/10/turkey-syria-earthquakes-why-was-there-so-much-destruction |
| Description | Intensity-based sentiment analysis. The case of the 2020 Aegean earthquake. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Third sector organisations |
| Results and Impact | Presentations at the 37th General Assembly of the European Seismological Commission (ESC 2021) Intensity-based sentiment analysis. The case of the Aegean earthquake. Session 11: From School Seismology to Citizen Science (PART 3) Monday, Sep 20, 2021 16:30 - 17:45 (EEST) - 14:20 - 16:30 (BST). Presenting author: Dr Diana Contrera. Authors: Dr Diana Contreras; Dr Sean Wilkinson; Dr Yasemin Atkas; Ms Laure Fallou; Dr Rémy Bossu and Mr Matthieu Landès. 23 participants attended the presentation at the session of the conference, it was reported that the presentation clarified the concept of sentiment analysis and there was a question about further research. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.erasmus.gr/microsites/1193 |
| Description | Interview for the podcast: "Cuéntame tu riesgo: Ciencia tras bambalinas" (Translated title:'Tell me your risk: Science behind the scenes'). |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Dr Diana Contreras was interviewed by Dr Naxhelli Ruiz, Associate Professor at the Institute of Geography of the Universidad Autonoma de Mexico (UNAM) for the podcast: 'Cuéntame tu riesgo: Ciencia tras bambalinas' (Translated title: Tell me your risk: Science behind the scenes). This podcast addresses the topic of sciences and scientist who research the relationship between environment and population and discover how daily life increase the risk of the population. The interview, in this case, was entitled: Redes Sociales y plataformas en la respuesta a sismos (Translated title: Social networks and platforms in the response to earthquakes) corresponds to the 6th episode of the second season of this podcast and it was broadcasted on February 11th, 2022. The interview was held in Spanish. The podcast started with a survey about the role of social media (SM) after a disaster, answers highlighted their usefulness in the request and provision of humanitarian help avoiding fake news. Several SM and crowdsourcing platforms were mentioned during the interview and recommendations about how to safely contribute with useful data after an earthquake through these platforms were formulated by Dr Contreras. She also explained how natural language processing techniques (NLP) such as sentiment analysis (SA) and topic analysis are applied to extract meaningful information from the text data collected through SM and crowdsourcing platforms after disasters. The earthquake of September 19th, 2017 in Mexico DF was recalled during the interview. Dr Contreras mentioned the data collected and the ongoing analyses related to emergency response to the earthquakes in Albania (2019), Zagreb and Aegean region (2020) and the 10th anniversaries of the earthquakes in L'Aquila (Italy), Haiti, Chile, Tohoku (Japan) and Christchurch (New Zealand) and the 5th anniversary of the earthquake in Nepal. She shared preliminary results of the analysis of the text data for the cases of Haiti and Chile at the end of the interview. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://anchor.fm/naxhelli-ruiz/episodes/Temporada-2--Episodio-6--Redes-Sociales-y-plataformas-en-la... |
| Description | IstructE Evening Lecture: 2020 EEFIT Aegean earthquake mission |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The mission lecture was delivered on the 17th December 2020 with the aim of presenting the preliminary findings of the EEFIT Mission to the 30 October 2020 Aegean Earthquake and Tsunami mission on the event's impact on the built environment, infrastructures and communities. A total of 226 people attended the event, and the presentation was followed by a discussion on the viability of combining field and remote mission strategies for hybrid reconnaissance activities in the future. The lecture can be viewed at https://www.istructe.org/resources/case-study/2020-eefit-aegean-earthquake-mission/. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.youtube.com/watch?v=pd1HHvRHM2o&feature=youtu.be |
| Description | IstructE Evening Lecture: Tsunami and structural damage after earhtquakes |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Ninety-three live attendees from 31 different countries attended the EEFIT Evening Lecture: Tsunami and structural damage after earthquakes. This Lecture was the second of the two Evening Lectures planned as part of the Earthquake Engineering Field Investigation Team (EEFIT) 2021 training sessions. This session had as speakers: Professor Alison Raby (University of Plymouth); Dr Josh Macabuag (Search and Rescue Assistance in Disasters - SARAID); Dr Sean Wilkinson (Newcastle University) and Mr Keith Adams (Brunel University). This session was organised and chaired by Dr Diana Contreras, Lecturer at Cardiff University and Visiting researcher at Newcastle University. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/eveninglectures2021.html |
| Description | Learning From Earthquakes (UK) @LEarthquakes twitter account |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The learning from earthquakes (UK) Twitter account: @LEarthquakes was created as a part of the project website: 'Learning from earthquakes'. This Twitter account disseminate information related to seismic hazard and assessment, preparedness and emergency attention related to earthquakes, publication related to seismic hazards, news and events of the project, or coming from our partners, good practices in construction and lessons learned from previous earthquakes and the recovery processes of the areas affected by earthquakes. This Twitter account has 114 followers. |
| Year(s) Of Engagement Activity | 2019,2020,2021,2022 |
| URL | https://twitter.com/LEarthquakes |
| Description | Learning from Earthquakes Facebook page |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The 'Learning from Earthquakes' Facebook page was created as a part of the project website: 'Learning from earthquakes'. This Facebook page shares visual material of activities related to the project 'Learning from Earthquakes'. The Facebook page of the project has 37 publications. Publications are related to the first Earthquake Engineering Field Investigation Team (EEFIT) training session on earthquake reconnaissance on the 27th February 2020 at the Institution of Structural Engineers (IstructE) in London (United Kingdom), the project meeting at the University College of London (UCL) on the 28th February 2020, the Scientific Advisory Committee meeting on the 30th July 2020, the launching of the project website (2020), Zagreb and Aegean earthquake remote missions (2020), face to face presentations and webinars, publications with project outputs (journal and conference papers and reports), commemorative days (women's day 2020, geologist's day 2020, Christmas 2020 and new year 2020-2021), expressions of solidarity with the population affected by the earthquakes in Zagreb, Turkey and Greece. The latest post on this Facebook page contains activities related to the 2022 EEFIT return mission to Nepal. At the moment, the Facebook page counts 329 followers and 322 likes. |
| Year(s) Of Engagement Activity | 2020,2021 |
| URL | https://www.facebook.com/Learning-from-Earthquakes-110392457215986/?epa=SEARCH_BOX |
| Description | Learning from Earthquakes UK youtube channel |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The 'Learning from Earthquakes' Youtube channel was created as a part of the project website: 'Learning from earthquakes. This Youtube channel shares audiovisual material of activities related to the project 'Learning from Earthquakes. The channel counts with 13 videos taken during the Earthquake Engineering Field Investigation Team (EEFIT) training session on earthquake reconnaissance on the 27th February 2020 at the Institution of Structural Engineers (IstructE), in London (United Kingdom) and 13 videos recorded during the workshop: 'Earthquake Recovery and Reconstruction' organised jointly by the Earthquake Engineering Field Investigation Team (EEFIT) and Scott Wilson Nepal (SWN) on May 23rd, 2022 in Kathmandu, during the 2022 return mission to Nepal organised by EEFIT and led by Dr Michael Whitworth. Other five videos were recorded during the presentation of the results of the 2022 EEFIT return mission to Nepal on September 13th, 2022, at the Institution of Structural Engineers (IstructE) headquarters in London. There is one more video related to a presentation at the Wyeside Arts Centre in Builth Wells, UK. At the moment, the channel counts 14 subscribers. |
| Year(s) Of Engagement Activity | 2020,2021,2022,2023 |
| URL | https://www.youtube.com/channel/UCQf--lBG9fWqNHWimrcXE1w?view_as=subscriber |
| Description | Learning from earthquakes newcastle university website |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Learning from Earthquakes is a project website made up of 8 webpages. The webpage entitled: 'Home' has a view of the latest news of the project, the recent tweets of the associated Twitter account and the list of partners of the project in the footer. The webpage: 'about us' describes the background, objectives, and workstream of the project. The webpage: 'news and events' as its name indicates, lists the activities of the project from the most recent to the oldest ones. The webpage:'people' lists and describe the team project members including principal investigators, professors, research associates, and research assistants. The outputs website as its name indicates gives access to the technical outcomes of the project because publications are included in the webpage named:'resources'. The 'partners' webpage lists and describe the partners from the industry, the academic partners and finishes with the NGO participant in the project. The webpage entitled 'contacts' points to the different members of the team according to the subject that they are in charge of. |
| Year(s) Of Engagement Activity | 2019,2020,2021 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/ |
| Description | MS Amlin academic advisory panel |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | MS Amlin (a large insurance company) has set up an academic advisory panel to help them better understand risk and methods to assess it, This was the inaugural meeting. It was attended by a wide range of academics, insurers and insurance analysts and a wide range of risk based research activities and challenges was discussed. It is hoped that this will lead to better collaboration between insurance industry and academic research |
| Year(s) Of Engagement Activity | 2018 |
| Description | Meeting with the seismic Regional Center for South America (CERESIS) |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Dr Nathan Forthsyte and Dr Diana Contreras met Mr Leandro Rodriguez, the Executive Director of the seismic Regional Center for South America (CERESIS) during their visit to Peru in the framework of the GCA: 'pump-priming' activity in Peru. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/meetingceresis.html |
| Description | Ongoing post-disaster recovery assessment analysing social media data. The case of 2015 Gorkha earthquake. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | This presentation was part of the workshop on Nepal Earthquake Recovery and Reconstruction organised jointly by the Earthquake Engineering Field Investigation Team (EEFIT) and Scott Wilson Nepal (SWN). The aim of the workshop was to investigate the recovery and reconstruction and 'built back better' approach, analysing both the physical reconstruction and the institutional framework for Disaster Risk Reduction (DRR). The workshop was part of the 2022 EEFIT return mission organised by EEFIT and led by Dr Michael Whitworth. Speakers included both national and international experts in a range of relevant fields, with the workshop including a participatory approach with discussions and resilience assessments. This event was attended by 57 practitioners and academics from Kathmandu, Nepal. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.youtube.com/watch?v=OjVOXZYa0R0 |
| Description | Performance of a pre-trained sentiment analysis (SA) model on tweets related to emergency response and early recovery . The case of 2019 Albanian Earthquake |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentations at the 37th General Assembly of the European Seismological Commission (ESC 2021) Performance of a pre-trained sentiment analysis (SA) model on tweets related to emergency response and early recovery. The case of the 2019 Albanian earthquake. Session 01: Machine learning solutions to seismic problems: Join Session ESC-SSA (PART 3). Wednesday, Sep 22, 2021 13:15 PM - 16:15 (EEST) - 11:15 - 14:30 (BST). Presenting author: Dr Diana Contreras. Authors: Dr Diana Contreras; Dr Sean Wilkinson; Ms Evangeline Alterman and Mr Javier Hervás. 26 participants attended the presentation at the session of the conference, there were questions about the translation of the tweets, how the polarity change during the days after the earthquake and the information that they contain. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.erasmus.gr/microsites/1193 |
| Description | Pint of Science |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | This was a public presentation on how earthquakes affect communities. It was attended by approx 50 people who were very lively in the question sessions afterwards. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Podcast focusing on how science advice, data and evidence are used by decision makers in government |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Rob Doubleday, Director of University of Cambridge's Centre for Science and Policy discusses how SAGE and modelling advice were used during the Nepal Earthquake in April 2015. He's joined by James Jackson, an Earthquake Geologist and Professor in Earth Sciences at the University of Cambridge, and Professor Emily So, an Architectural Engineer and Director of the Cambridge University Centre for Risk in the Built Environment (CURBE). Both James and Emily work on earthquakes, what causes them and what damage they do. Their collective expertise have stemmed from years of fieldwork funded by NERC and EPSRC, providing avenues for instrumenting and monitoring seismic activity, collection of empirical data pre and post earthquakes and local networking opportunities. All of these have been essential for advancing knowledge and in providing advice to governments and aid agencies during emergencies. The intention of the podcast is to highlight how science advice, data and evidence are used by decision makers in government. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.csap.cam.ac.uk/Research-Policy-Engagement/science-and-policy-podcast/science-advice-and-... |
| Description | Post-disaster recovery assessment analysing social media data 2015 Gorkha earthquake. Nepal Earthquake Recovery and Reconstruction. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | I presented online preliminary results of the post-disaster recovery assessment analysing social media data related to the 5th anniversary of the earthquake in Nepal at the International Colloquium on Translational Engineering and Research (ICTER) 2022. I was invited to this event by Dr Sekhar Lukose Kuriakose from Kerala State Disaster Management Authority (KSDMA). |
| Year(s) Of Engagement Activity | 2022 |
| URL | http://www.tplc.gecbh.ac.in/events/7/ |
| Description | S1E3 - i-Rec Conference LIVE |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | From June 5-8 2019 Dr. Jason von Meding and Dr. Ksenia Schmutina co-chaired the international conference i-REC 2019 Conference: Disrupting the status quo: Reconstruction, recovery and resisting disaster risk creation. They took the chance to record Disasters: Deconstructed LIVE in a plenary session. In this episode, I was interviewed as a young disaster scientist about the need to use indicators to measure vulnerability, resilience or success or reconstruction and how to deal with the fact that so many things are unmeasurable? |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.podbean.com/media/share/pb-kzqaq-b424a2?utm_campaign=u_share_ep&utm_medium=dlink&utm_sou... |
| Description | School Careers Day |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | Talked to middle school students about structural engineering as a career and how it can help to reduce impacts due to earthquakes |
| Year(s) Of Engagement Activity | 2023 |
| Description | Social Media and Recovery after Earthquakes |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Public/other audiences |
| Results and Impact | The Wyside Arts Centre in Builth Wells, Wales, were interested in a range of speakers to talk about varying interests to their community members. Therefore, the Manager of the Strategic Partnership at Cardiff University arranged a talk at this facility on January 24th, 2023. This was an interactive talk attended mainly by senior citizens who still managed to use their mobile phones to classify tweets related to the 10th anniversary of the earthquakes in L'Aquila, Haiti and Chile and the 5th anniversary of the earthquake in Nepal. Large number of questions and comments were addressed after the talk. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.wyeside.co.uk/community-events-1/socialmediaearthquakes |
| Description | Social media, GIS and emergency response after earthquakes: The case of 2020 Zagreb and 2020 Aegean |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | 15 people attended the online talk entitled: Social media, GIS and emergency response after earthquakes: The case of 2020 Zagreb and 2020 Aegean in the framework of the GeoTalks webinar series 2021 and to commemorate the GIS day. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.youtube.com/watch?v=nwQO9FirV0g |
| Description | Socio-economic Vulnerability to Natural Hazards: Interdependencies of Healthcare Infrastructure. The case of Santiago Metropolitan Region, Chile |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | In collaboration with the Research Center for Integrated Disaster Risk Management (CIGIDEN), one of the project partners, and Vivienda Foundation in Chile, Dr. Diana Contreras presented: "Socio-economic Vulnerability to Natural Hazards: Interdependencies of Healthcare Infrastructure. The case of Santiago Metropolitan Region, Chile" at the session entitled: Urban-Rural Infrastructure Interdependencies - Flows of people, services and disaster risks organized by United Nations University - Institute for Environment and Human Security (UNU-EHS) & TH Köln at the Deutsch Kongress für Geographie (DKG) 2019 in Kiel, Germany. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/dkg2019urban-ruralinfrastructureinterd... |
| Description | Summer School RISK@UGA 2022 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Undergraduate students |
| Results and Impact | 50 registered to attend the Summer School RISK@UGA 2022 organised by the Risk Institute from Université Grenoble Alpes (UGA). This event took place from August 29 to 30th, and I was invited to present: 'Earthquake reconnaissance using social media and crowdsourcing platforms' in the session: 'Involvement of citizens in the process of building a response to crises'. Talks were proposed by 'Innovations for Resilience' Cluster. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://risk.univ-grenoble-alpes.fr/en/main-menu/towards-a-risk-institute/news/summer-school-risk-ug... |
| Description | The Earthquake Engineering Field Investigation Team (EEFIT) session on the Society for Earthquake and Civil Engineering Dynamics (SECED) Conference 2019 |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The EEFIT Session at the SECED conference 2019 included six presentations listed below: 1) A review of EEFIT mission over time 1983 to 2019 2) Lessons from earthquake fieldwork for seismic retrofit design 3) The rewards of earthquake engineering - differences between Christchurch and Gorkha earthquakes 4) Lessons learned from post-tsunami fieldwork by EEFIT 5) The benefit of return missions for a better understanding of building's behaviour under repeated shakings: The case of Norcia Italy 6) Post-earthquake buildings surveys to derive fragility functions for use in seismic risk assessments |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.seced.org.uk/index.php/proceedings/category/67-session-28-eefit-session |
| Description | The assessment of post-disaster recovery of Haiti using sentiment analysis (SA). Earthquake 2010 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | In the framework of the Earth School Seminar at Cardiff University, Dr Diana Contreras presented: The assessment of post-disaster recovery of Haiti using sentiment analysis (SA). Earthquake 2010. The presentation counted with the attendance of 15 participants, who are mainly Lectures of the School. Abstract Memorial days of disasters represent an opportunity to evaluate the progress of recovery. The 10th anniversary of the earthquake in Haiti was commemorated on January 12th,2020. Social media (SM) and crowdsourcing platforms have become valuable tools for quickly collecting large amounts of first-hand data. Monitoring Twitter, we identified tweets related to the anniversary of the earthquake in Haiti, including the hashtags: #Haiti, #Haiti10, #HaitiEarthquake, #Haiti10YearsOn, #10AnsAprès, #12Janvier2010. We collected 47,206 tweets, 17.28% originals and 82.72% retweets. We used sentiment analysis (SA), a natural language processing (NLP) technique used in customer reviews, to evaluate the progress of the post-disaster recovery. This technique extracts information from unstructured text data classifying it into polarities: positive, negative and neutral. We added the category of unrelated for our analysis. We focused the analysis of tweets in English, considering that they were the majority in the dataset. Having classified the 50.98% of the total dataset, we found that polarities among tweets are distributed as: 10,037 (47.2%) negative, 9,587 (45.1%) positive, 1,888 (8.9%) neutral and 2,550 (12.0%) not related. Looking at these preliminary results, we can state that the assessment of the post-disaster recovery process based on opinions is divided. However, we observe that one tweet with 5,531 retweets that included a solidarity message and classified with a positive polarity changed the previous tendency on which the negative polarity was present in 46% and 60% of tweets in the dataset. However, solidary messages do not mention any progress in the post-disaster recovery process, making them useless for the assessment. Based on this preliminary result, we conclude that it is necessary to finish the classification to check if the result reflects the progress of the post-disaster recovery in Haiti. We have already considered refining the methodology combining SA and topic analysis. In this case, only tweets related to recovery will be classified expecting that these changes contribute to a more accurate post-disaster recovery assessment. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.youtube.com/watch?v=0ws_u8UBumQ |
| Description | The on-going assessment of post-disaster recovery of Haiti using sentiment analysis (SA) -Earthquake 2010 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Five people from the group WhatsQuakers attended the presentation entitled: The on-going assessment of post-disaster recovery of Haiti using sentiment analysis (SA) -Earthquake 2010.WhatsQuakers was a group created by the European Mediterranean Seismological Centre (EMSC) that consist of 20 professionals from different countries around the world. In this presentation, Dr Diana Contreras showed preliminary results of the SA of the tweets related to the 10th anniversary of the earthquake in Haiti. Questions were raised about misinformation, how to automate the detection of tweets related to earthquakes, and how to identify the most influential Twitter users. There was an additional discussion about censorship, the anonymisation process and the General Data Protection Regulation (EU GDPR) compliance. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.youtube.com/watch?v=DLmBgOf8MMk |
| Description | The role of social media in emergency response and post-disaster recovery |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Undergraduate students |
| Results and Impact | 30 participants, including Faculty members and undergraduate students from the School of Civil Engineering from la Universidad de Valparaiso in Chile and practitioners from Colombia, attended the online lecture entitled: 'The role of social media in emergency response and post-disaster recovery'. In this lecture, we discussed the role of social media in emergency response in the case studies of the 2020 earthquake in Zagreb and the 2020 Agean sea earthquake. The role of social media in the evaluation of the post-disaster recovery was based on the cases of the 10th anniversary of the earthquake in L'Aquila (Italy) and the Maule earthquake (Chile). The activity was organised by the Director of the school Professor Alejandro Morales and had a duration of 50 minutes. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.researchgate.net/publication/352888875_El_rol_de_las_redes_sociales_en_la_respuesta_a_em... |
| Description | Tools and methods for post-disaster reconnaissance missions |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | 51 participants attended our 5 minutes presentation entitled: 'Earthquake reconnaissance using social media and crowdsourcing platforms. A 15 minutes presentation was prepared in advance to make familiar de other participants with our research. Presentations are already available at the Youtube channel of the project Learning from earthquakes: https://www.youtube.com/watch?v=7iNdJaC4Kew&t=78s https://www.youtube.com/watch?v=myGdkXiECKs&t=3s Participants from Purdue University were interested in the databases of text data related to the 2020 Aegean and Zagreb earthquakes and they asked if we have similar databases but from images |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.ucl.ac.uk/epicentre/events/2021/oct/workshop-tools-methods-post-disaster-reconnaissance-... |
| Description | V Congreso: Sociedad de Análisis de Riesgo Latinoamericana 2021. Mesa Redonda: Procesos de reconstrucción en Chile: experiencias y desafíos para las políticas públicas. (Translated title: V Congress: Latin American Risk Analysis Society 2021. Round Table: Reconstruction processes in Chile: experiences and challenges for public policies). |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Professor Carolina Martínez, Professor at the Pontificia Universidad Católica (PUC) de Chile and Director of the Observatorio de la Costa (Translation: Observatory of the Coast) in Chile, invited Dr Diana Contreras, Lecturer at Cardiff University and member of the team Learning from Earthquakes (LfE) the UK to the Round Table: Reconstruction processes in Chile: experiences and challenges for public policies in the framework of the online V Congress: Latin American Risk Analysis Society 2021 (SRALA2021, by its acronym in Spanish). This discussion took place on the 1st December 2021 from 17:30 to 19:00 Chile/ 20:30 to 22:00 UK. The Round Table also counted with Dr Jorge León, Mr Roberto Morris, and Mr Vitor Orellana as panellists. In total, 12 participants were present in this online discussion. The discussion started with Professor Carolina Martínez reporting the progress and the experiences in the different reconstruction processes in Chile and the implementation of their Master Plans for the cases of Dichato and Tubul. Then, Dr Diana Contreras presented the updates in the sentiment and topic analysis of the Twitter data collected for the 10th anniversary of the Maule earthquake before continuing the discussion with the other panellists. The dataset with the Tweets originally published in English is already available for public consultation at the data repository of Newcastle University: Contreras Mojica, Diana; Wilkinson, Sean; Hervas, Javier; Balan, Nipun; James, Philip (2021): Polarity supervised classification of Twitter data posted in English related to the 10th anniversary of the 2010 Maule earthquake in Chile. Newcastle University. Dataset. https://doi.org/10.25405/data.ncl.15081795.v1 |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.bigmarker.com/society-for-risk-analysis-la1/3C-Mesa-Redonda-Procesos-de-reconstrucci-n-e... |
| Description | Virtual Capacity Buidling Workshop: 'Regional Spatial Data Infrastructure (SDI) for Sustainable Development in ECO Countries |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Survey Pakistan invited me to present the progress in our research related to work stream 5: Tool development and workshops. The presentation entitled:' The role of social media and crowdsourcing platforms in emergency response and post-disaster recovery assessment' was attended by 26 people on the 13th September 2021 ( 9:40 BST - 13:40 Pakistan time). This workshop includes speakers from the United States of America (USA), Pakistan, Turkey, Azerbaijan, Nepal, Iran, Ethiopia and Canada. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/virtualcapacitybuildingworkshoponregio... |
| Description | World Bank's Global Facility for Disaster Risk Reduction and Recovery meeting to discuss GRADE |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Policymakers/politicians |
| Results and Impact | A meeting with Dr Rashmin Gunasekera from the World Bank's Global Facility for Disaster Risk Reduction and Recovery on 6th November 2018 to talk the project and our draft guidelines for earthquake data collection |
| Year(s) Of Engagement Activity | 2010,2018 |
| Description | Zagreb remote mission 2020 |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The 2020 Zagreb earthquake occurred on Sunday 22 March 2020. This earthquake was the first that happened during the lockdown imposed by governments to stop spreading the COVID-19. This fact makes the event interesting as a multi-hazard phenomenon. The lockdown made it not possible to deploy an earthquake reconnaissance mission. Therefore, it was necessary to undertake a remote mission supported by the monitoring and analysing social media (SM) platforms, such as Twitter and Instagram. In our work, we first identified the hashtags related to the event. Through the LastQuake app, we obtained the intensity reports from affected people and comments and pictures useful for damage assessment. The team obtained 59,246 tweets posted between the 20th March and the 30th April 2020 and 31,911 comments from LastQuake app users written on the day of the earthquake. Images from posts and comments were used for remote assessment of damage in buildings. Sentiment analysis (SA) was applied to tweets and comments related to the event to assess emergency management during the relief phase after the earthquake. Our work shows that only a limited number of pictures collected through social media were suitable for damage assessment of individual buildings. However, they were still useful as a proxy estimation of damages in some areas of Zagreb and surroundings. We also found SA supported by machine learning a valuable method to assess and identify critical aspects of the emergency and early recovery post-disaster phases. Applying SA we identified the most affected areas, the damages in the non-structural elements in hospitals, the support of collaborative networks for the evacuation of patients and the role of Ministers in the early recovery. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/remotemissionforearthquakeincroatia.ht... |
| Description | learning_from_earthquakes_uk Instragram account |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | This Instagram account shares visual material of activities related to the project 'Learning from Earthquakes'. The account has a total of 65 posts. Post on Instagram included initially pictures taken during the Earthquake Engineering Field Investigation Team (EEFIT) training session on earthquake reconnaissance on the 27th February 2020 at the Institution of Structural Engineers (IstructE), in London (United Kingdom) and the project meeting at the University College of London (UCL) on the 28th February. One year later our Instagram account contains posts with the contributions of the members of the Advisory Committee of the project, information about the remote missions of the 22nd March 2020 Zagreb and the 30th October 2020 Aegean earthquake and face-to-face presentations related to Albania mission (2020) and webinars of the remote missions. With the aim of dissemination, we post as well about journal and conference papers and reports published in the framework of the project. Additional posts come from commemorative dates (women's day 2020 and geologist's day 2020), the launching of the website of the project, expressions of solidarity with the population affected by earthquakes in Zagreb, Turkey and Samos, as well as a Christmas and new years greetings. The latest post on this Instagram account portrays activities related to the 2022 EEFIT return mission to Nepal. At the moment, the Instagram account has 108 followers. |
| Year(s) Of Engagement Activity | 2020,2021 |
| URL | https://www.instagram.com/learning_from_earthquakes_uk/ |
| Description | meeting INAIGEM |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Nathan Forthsyte and Dr Diana Contreras interchanged knowledge and experiences in the topics of glaciers, landslides, and earthquakes with colleagues from the National Institute of Research in Glaciers and Mountain ecosystems (INAIGEM). This meeting took place in the framework of the GCA: 'pump-priming' activity in Peru. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/meetinginaigem.html |
| Description | meeting UNASAM |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Nathan Forthsyte and Dr Diana Contreras explored opportunities of collaboration in the topics of earthquakes and landslides with the National University of Santiago Antunez Mayolo (UNASAM) in Huaraz, Peru. This meeting took place in the framework of the GCA: 'pump-priming' activity in Peru. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://research.ncl.ac.uk/learningfromearthquakes/newsevents/meetingunasam.html |
| Description | school visit |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | A school visit to Archibald First school to demonstrate how earthquakes occur and how they affect buildings, with demonstration of a shaking table. A second demonstration was requested due to the response of the children and teachers responded very positively to the activity |
| Year(s) Of Engagement Activity | 2018 |