X-Net: A UK-wide Cross-Disciplinary Training Network

Lead Research Organisation: University of Edinburgh
Department Name: UNLISTED

Abstract

The X-Net training network targets the interface between computational and mathematical sciences and biomedical research, forging links between disparate research communities. It will enhance the potential, quality and impact of cross-disciplinary investigators across the MRC Unit portfolio and beyond. X-net will connect cross-disciplinary researchers at different career stages and reveal career opportunities to STEM researchers who are motivated to address the most important biomedical questions of our era. One important focus will be on the key areas of big data and machine learning, identifying invdividuals from STEM backgrounds who can bring AI and statistical expertise into biomedical science.

Technical Summary

The X-Net training network targets the interface between computational and mathematical sciences and biomedical research, forging links between disparate research communities. It will enhance the potential, quality and impact of cross-disciplinary investigators across the MRC Unit portfolio and beyond. X-net will connect cross-disciplinary researchers at different career stages and reveal career opportunities to STEM researchers who are motivated to address the most important biomedical questions of our era. One important focus will be on the key areas of big data and machine learning, identifying individuals from STEM backgrounds who can bring AI and statistical expertise into biomedical science.

People

ORCID iD

Publications

10 25 50
 
Description Evidence provided to the House of Lords Science and Technology Committee
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
 
Description X-Net: A UK-wide Cross-Disciplinary Training Network 
Organisation University of Dundee
Country United Kingdom 
Sector Academic/University 
PI Contribution The MRC HGU is leading this UK-wide Cross-Disciplinary Training Network initiative, bringing together partners from across academia and industry to dismantle obstacles currently impeding the career progression of young cross-disciplinary researchers.
Collaborator Contribution The MRC Protein Phosphorylation and Ubiquitylation Unit (PPU) at the University of Dundee is a key partner in X-Net.
Impact Multi-disciplinary project spanning many different biomedical disciplines and with industry. Overcoming Barriers to Cross-Disciplinary Research: Final Survey Report https://era.ed.ac.uk/handle/1842/39337
Start Year 2022
 
Description X-Net: A UK-wide Cross-Disciplinary Training Network (Oxford) 
Organisation University of Oxford
Country United Kingdom 
Sector Academic/University 
PI Contribution The MRC HGU is leading this UK-wide Cross-Disciplinary Training Network initiative, bringing together partners from across academia and industry to dismantle obstacles currently impeding the career progression of young cross-disciplinary researchers.
Collaborator Contribution The University of Oxford is a key partner in X-Net.
Impact Overcoming Barriers to Cross-Disciplinary Research WEDNESDAY 06 JULY 2022 - 1:00 PM - 4:00 PM Final Survey Report https://era.ed.ac.uk/handle/1842/39337
Start Year 2022
 
Description Overcoming Barriers to Cross-Disciplinary Research - Workshop and Online Survey 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact The workshop consisted of interactive and discussion focused activities to find common barriers and start to find solutions to these in groups.
Using pre-workshop anonymous survey data, the group discussed and defined what some of the common barriers are.
Using case study stories, the groups then collectively started to think about what some of the solutions might be. Finally, there was time for individuals to start thinking about specific actions that will help overcome personal barriers through a short action learning activity.
Year(s) Of Engagement Activity 2022
URL https://era.ed.ac.uk/handle/1842/39337
 
Description Preparing the roadmap: prioritising cross-disciplinary training needs with industry 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact This workshop provided extensive evidence how academia can improve the training of skilled cross-disciplinary scientists ahead of them joining industry. Knowledge, mindset and skill gaps were identified, and the lack of porosity between academia and industry identified.
Year(s) Of Engagement Activity 2023
URL https://x-net.bio/