Technical workflows for AI research
A workshop exploring how we adapt our research workflows as AI reshapes the landscape of scientific practice.
The King’s Institute for Artificial Intelligence and STEP-UP are bringing together researchers and digital Research Technical Professionals for a workshop focused on how AI is changing the practical work of research. The event looks at real examples of how research teams are adapting software, data and infrastructure workflows, and how longstanding principles such as transparency, reproducibility and FAIRness can be maintained as AI becomes more deeply embedded in research practice.
This event will be of most benefit to researchers and technical professionals working with software, data or computing infrastructure who want to explore how individuals, teams and institutions are adapting as AI is reshaping the ways research is designed and carried out. Through talks, case studies, a panel and breakout sessions, attendees will hear from colleagues across institutions and disciplines about the challenges they face and the approaches they are testing in their own environments.
Sign up for the workshop on Eventbrite.
Case studies
We are seeking single or joint presentations by dRTPs and/or researchers (we welcome a diverse range of experience, from doctoral students and early-career technical roles through to Professorial level roles) from STEM as well as SHAPE disciplines. Case studies should highlight research workflows that make use of, or where there is the potential to make use of, LLMs or other AI tools and infrastructure to enhance, optimise or otherwise benefit the process of undertaking research.
Please submit your Expression of Interest by latest Monday 9 March (23.59) and address any queries to ai-institute@kcl.ac.uk. Selection will be led by a mixed technical and academic panel and EOIs will be based on closest fit with purpose and scope of the event.
The event image is by IceMing & Digit / https://betterimagesofai.org / https://creativecommons.org/licenses/by/4.0/
A workshop exploring how we adapt our research workflows as AI reshapes the landscape of scientific practice.
The King’s Institute for Artificial Intelligence and STEP-UP are bringing together researchers and digital Research Technical Professionals for a workshop focused on how AI is changing the practical work of research. The event looks at real examples of how research teams are adapting software, data and infrastructure workflows, and how longstanding principles such as transparency, reproducibility and FAIRness can be maintained as AI becomes more deeply embedded in research practice.
This event will be of most benefit to researchers and technical professionals working with software, data or computing infrastructure who want to explore how individuals, teams and institutions are adapting as AI is reshaping the ways research is designed and carried out. Through talks, case studies, a panel and breakout sessions, attendees will hear from colleagues across institutions and disciplines about the challenges they face and the approaches they are testing in their own environments.
Sign up for the workshop on Eventbrite.
Case studies
We are seeking single or joint presentations by dRTPs and/or researchers (we welcome a diverse range of experience, from doctoral students and early-career technical roles through to Professorial level roles) from STEM as well as SHAPE disciplines. Case studies should highlight research workflows that make use of, or where there is the potential to make use of, LLMs or other AI tools and infrastructure to enhance, optimise or otherwise benefit the process of undertaking research.
Please submit your Expression of Interest by latest Monday 9 March (23.59) and address any queries to ai-institute@kcl.ac.uk. Selection will be led by a mixed technical and academic panel and EOIs will be based on closest fit with purpose and scope of the event.
The event image is by IceMing & Digit / https://betterimagesofai.org / https://creativecommons.org/licenses/by/4.0/
Good to know
Highlights
- 7 hours 30 minutes
- In person
Location
King's College London
Strand
London WC2R 2LS
How do you want to get there?
