Upcoming Events

Event Overview

Recent Advances in Nonlinear Partial Differential Equations will be held from May 13 through May 17, 2024, at the University of Minnesota–Twin Cities. The conference provides much needed opportunities for participants to keep track of the significant developments in some of the most active research areas in PDEs. The talks are arranged at a leisurely pace over one week, to allow participants ample time to interact with experts in their area of interest. There will be a poster session where junior participants are encouraged to present their own research. Panel discussions on career developments and experts-led sessions on open problems will further enhance the involvement of participants in the conference. Speakers will be asked for permission to record their talks that will be made publicly available for a wider accessibility. Special attention will be paid to advertise and recruit participants from underrepresented groups.

The analysis of fluid equations and Calculus of Variations (CVs) is undergoing very rapid and significant progress in recent years. The conference features a wide scope of active topics in both fluid equations and calculus of variations. Specifically, the scientific themes of the conference include (i) Computation and Computer Assisted Proofs in PDEs, (ii) Convex Integration Techniques and its Applications, (iii) Regularity theory of the Euler and Navier Stokes equations, (iv) Hydrodynamic stability in high Reynolds number regime, (v) Calculus of Variations from material sciences. Important breakthroughs have been achieved in recent years in all these closely related areas. CVs is a fertile source of ideas for many branches of PDEs including fluid equations. It is hoped that by bringing together experts from both areas a cross-fertilization is more likely to occur. 

Application

Apply Here

Preliminary List of Speakers

• Kyungkeun Kang – Yonsei University
• Gregory Seregin – University of Oxford
• Alexander Kiselev – Duke University
• John Ball – Heriot-Watt University
• Thierry Gallay – Université Grenoble Alpes Institut Fourier
• Laszlo Szekelyhidi – Max Planck Institute for Mathematics in the Sciences
• Camillo De Lellis – Institute for Advanced Study
• Richard James – University of Minnesota
• Javi Gomez-Serrano – Brown University
• Connor Mooney – University of California, Irvine
• Jacob Bedrossian – University of California, Los Angeles
• Anna Mazzucato – Pennsylvania State University
• Peter Constantin – Princeton University
• Peter Polacik –  University of Minnesota
• Julien Guillod – Laboratoire Jacques-Louis Lions, Sorbonne Université
• Hyunju Kwon – ETH Zürich
• Irene Fonseca – Carnegie Mellon University
• Robert Kohn – New York University
• Svitlana Mayboroda – University of Minnesota
• Blair Davey – Montana State University

Organizers 

• Dallas Albritton – University of Wisconsin, Madison
• Tarek Elgindi – Duke University
• Hao Jia – University of Minnesota
• Tai-Peng Tsai – University of British Columbia, Vancouver
• Vlad Vicol – New York University
• Xiaodong Yan – University of Connecticut

The conference is supported by NSF DMS-2346780: "Conference: Recent advances in nonlinear Partial Differential Equations." The event is also sponsored in part by the Institute for Mathematics and its Applications.

Apply to attend

Organizers

• Kris Hollingsworth - Minnesota State University, Mankato
• Anurag Katyal - Palm Beach State College
• Melissa Lynn - St Olaf College
• Duane Nykamp - University of Minnesota, Twin Cities

In this five-day workshop, participants will learn how to create and implement online learning experiments using the Distributed Open Education Network (Doenet, doenet.org). Doenet is designed to help faculty critically evaluate how different content choices influence student learning in their classrooms. Doenet enables instructors to quickly test hypotheses regarding the relative effectiveness of alternative approaches by providing tools to assign different variations of an activity and analyze the resulting data.

Following brief introductions and demos of features of the Doenet platform, participants will work in small groups to develop learning experiments that can be used in the college classroom, assisted by the developers of Doenet. The expectation is that participants will leave the workshop with a learning experiment that they can use in their classroom the following year.

The workshop will run from 9 AM on Monday, May 20 through Noon on Friday, May 24. All organized activities will occur between 9 AM and 4 PM each day.

The workshop is open to faculty at all levels teaching STEM courses.

To apply, please submit the following documents through the Program Application link at the top of the page:

1. A personal statement briefly (200 words or less) stating what you hope to contribute to the discussion on learning experiments and what you hope to gain from this workshop. Include courses you teach for which you'd like to develop learning experiments. Priority will be given to those able to run learning experiments in their courses in the following year.
2. A brief CV or resume. (A list of publications is not necessary.)

Deadline for full consideration: April 17, 2024.

Overview

The relative Langlands program is a generalization of the classical Langlands program from reductive groups to certain homogeneous spaces. The recent work of Ben-Zvi, Sakellaridis, and Venkatesh on relative Langlands duality reveals new connections of the program to algebraic geometry and physics. The summer school and workshop will cover several aspects of the relative Langlands program and explore those new connections.

Application

The priority deadline for applications is Friday, January 26th. We will begin reviewing submissions at that time.

Apply Here

Summer school on Relative Langlands Duality, June 3-5, 2024

Invited Speakers

• David Ben-Zvi (Austin)
• Yiannis Sakellaridis (JHU)
• Lei Zhang (NUS)
• Chen Wan (Rutgers)
• Hiraku Nakajima (IPMU)

Workshop on classical, geometric and physics aspects of the Relative Langlands program, June 6-8, 2024

Invited Speakers

• Gurbir Dhillon (Yale)
• Ruotao Yang (skoltech)
• Wang Xiao (Chicago)
• David Nadler (Berkeley)
• Hiraku Nakajima (IPMU)
• Zhilin Luo (Chicago)
• Spencer Leslie (Boston College)
• Hiraku Nakajima (IPMU)
• Charlotte Chan (Michigan)
• Yiannis Sakellaridis (JHU)
• Tony Feng (Berkeley)
• Zhiwei Yun (MIT)
• Xinwen Zhu (Stanford)

Organizers

• Tsao-Hsien Chen (UMN)
• Dihua Jiang (UMN)
• Kai-Wen Lan (UMN)
• David Nadler (Berkeley)

Funding

We expect some funding will be available for graduate students and post-docs. More information will be posted in January 2024.