Oxford Algebraic Geometry Days
Mathematical Institute, University of Oxford
7-9 September 2026
Mathematical Institute, University of Oxford
7-9 September 2026
This three-day workshop in Oxford brings together researchers and graduate students in algebraic geometry, with a focus on enumerative geometry and geometric representation theory. The programme will include invited talks, talks by postdoctoral researchers, a joint Calf Seminar with contributed talks by PhD students, and ample opportunities for discussion and collaboration.
Plenary Speakers:
Karin Baur (Ruhr-Universität Bochum)
Arend Bayer (University of Edinburgh)
Ian Grojnowski (University of Cambridge)
Lucien Hennecart (CNRS Université de Picardie Jules Verne)
Dominic Joyce (University of Oxford)
Tudor Padurariu (University of Bonn / CNRS)
Olivier Schiffmann (CNRS Laboratoire de Mathématiques d'Orsay)
Contributed talks by early-career researchers (PhD students and postdoctoral researchers):
TBA
Contributed talks by postdoctoral researchers will take place throughout the workshop, as indicated in the schedule.
In addition, on the afternoon of Tuesday, 8 September, we will host a joint meeting with the Calf Seminar, featuring a number of short talks by PhD students.
Early career speakers will be selected based on the abstracts submitted with the registration form and will be announced here.
Hülya Argüz -- enquiries: hulya (dot) arguz (at) maths (dot) ox (dot) ac (dot) uk
This workshop is supported by the Sloan Foundation, and the COW.
The COW can cover the cost of travel for UK-based PhD students and postdocs who do not have their own source of travel funding. The COW is currently funded by the Isaac Newton Institute and the Heilbronn Institute for Mathematical Research under the UKRI/EPSRC Additional Funding Programme for Mathematical Sciences (EPSRC EP/V521917/1) and by the London Mathematical Society under a scheme 3 grant. For more information about what can be covered and how to make a claim, please see the COW webpage: https://cow.alggeo.xyz/index.html#funding