Industry lectures & seminars
Technical foundations from practitioners working on language models in industry. Confirmed topics include inference economics and agents for research; more to follow as speakers confirm.
Summer School 2026
Fourth edition.
Nuffield College,
Oxford.
Programme details, confirmed topics, and costs and support for the 2026 school. Applications are now closed; we are evaluating submissions and will notify all applicants on Monday 8 June.
Scope & priorities
What the 2026 programme will cover.
Five days combining technical depth with research application. The week is built around three interlocking components.
Collaborative research project
A Kaggle-style prediction competition on a real social science research problem. Teams work through afternoon lab sessions, with guidance available from industry participants.
Social science guest talks
Invited researchers present social science applications: opinion prediction, document classification, and text-as-data methods, connecting the technical sessions to real research problems.
The day-by-day schedule will be published here as it is finalised. For a sense of how the week runs, see the 2025 programme. Materials from past editions are on GitHub.
Confirmed · more to follow
Speakers.
More speakers will be announced as confirmations land. If you are interested in contributing as a speaker or social science presenter, reach out directly.
Get in touch →Costs & funding
Tuition is free.
We aim to remove every barrier we can.
The school is designed so that cost is not a barrier. All tuition is free for admitted participants.
Tuition
The full programme (lectures, seminars, coding labs, and research project support) is free of charge for all admitted participants.
Accommodation & meals
Accommodation is at participants' own expense. Admitted participants will receive a list of recommended nearby hotels and affordable options in Oxford.
We expect to cover meals during the school day; details will be confirmed with admitted participants.
Travel scholarships
We have offered travel support to participants in all three previous editions. We are currently awaiting a funding decision for 2026 and will publish details here as soon as we know.
If travel cost is a barrier, note it in your application; we will take financial need into account if scholarships are available.
Eligibility & deadlines
Applications are closed.
We are now evaluating applications. Due to high interest and the volume of submissions, this is taking a little longer than planned. All applicants will be notified by email on Monday 8 June.
Eligibility
Early-career researchers (PhD students, postdocs, or advanced master's students) working at the intersection of social science and machine learning. You do not need to be a heavy ML practitioner; we will teach you what you need.
What to send
- A motivation statement on your research interests, expertise, and what you hope to gain — up to 1,000 words, PDF
- A CV, no more than two pages, PDF
We cannot offer accommodation but will send admitted participants a list of nearby hotels and other affordable accommodation options. Travel scholarship details will be published here if funding is confirmed.
Key dates
Applications closed Thu 5 June 2026
Deadline was Wed 3 June 2026
Decisions sent Mon 8 June 2026
Summer school 13–17 July 2026