LSE's inaugural AI and Education Fellowships provide an exciting opportunity for LSE academics to lead on embedding AI in education at LSE and beyond.
We are delighted to announce ten fellowships over the coming two years:
Antonio Mele, Associate Professor of Economics (Education) and Undergraduate Programme Director (Economics)
Chris Blunt & Jillian Terry (LSE100 - Co-Directors)
Clare Wenham, Associate Professor of Global Health Policy (Health Policy)
David Pinzur, Associate Professor (Sociology)
David O'Sullivan, Assistant Professor (Mathematics)
Dario Krpan, Associate Professor (Psychology and Behavioural Science)
Dorottya Sallai, Associate Professor (Education) of Management (Management)
Jon Cardoso-Silva, Associate Professor (Education) (Data Science Institute)
Marcos Ennes Barreto, Assistant Professor (Education), Department Lead on AI and KEI Strategic Lead (Statistics)
Maria Lourdes Hernandez Martin, Language Coordinator - Arabic and Coordinator for Spanish Projects (Language Centre)
Fellows will receive a one term teaching buy-out, tailored resources, and support to pilot and then embed AI in key courses in their departments. Following this, they will serve as AI champions in their departments and across the wider School community, sharing case studies and other relevant materials from their development work.
More information about the AI Fellowship can be found below. Please contact Thomas Watson, Head of Strategy and Portfolio Management, (ESE): t.watson@lse.ac.uk , with any additional queries.
What is on offer with an LSE AI and Education Fellowship?
- A centrally funded one term teaching buy-out – exact details will be agreed by the Review Panel with the department and faculty member prior to the confirmation of a fellowship. This will give successful fellows time and space to reimagine and redesign the teaching, learning and assessment on their course or multiple courses in the department through exploring and taking advantage of the opportunities of AI tools. The buy-out will not include relief from administrative or mentoring responsibilities in the department.
- Support from a dedicated new 'AI in education development' expert. Recruited jointly across the Digital Skills Lab and the Eden Centre, they will work directly with the fellows on a one-to-one basis. They will provide advice, guidance and practical hands-on support for course redesign and the build and implementation of AI tools.
- Fellows will be provided with access to and training on applicable AI tools.
- Fellows will receive dedicated project management, administrative, and communications support to help with the promotion and dissemination of case studies and resulting course materials internally and externally (as appropriate).
What will LSE AI and Education Fellows be expected to do?
- Deliver an AI-integrated course (or courses) aligned with the aims, deliverables, and timeline agreed upon with the Review Panel.
- Champion their work in LSE and beyond, including producing an open access case study across media formats, sharing course materials (as appropriate to the audience), presenting at events, and supporting wider work in the department and in LSE on development of AI in education. They will take an active role in the Fellowship Community of Practice for the full two years of the scheme.
- Work closely with colleagues in their own department including the Deputy Head (Education), relevant Programme Director(s), and feed into the Department Teaching Committee or equivalent body.