Upcoming conferences organized by ERCOM member institutes

Workshop: Macaulay2 BootcampThe goal is to have a hands-on introduction to all things Macaulay2, starting from set up, productivity tricks and pitfalls to avoid. We will also learn how to write packages, documentation, and how to contribute to Macaulay2 using git and Github, and how to collaborate remotely using the web interface. Due to limited capacity we encourage you to register as soon as possible. We will confirm your participation by email.
Conference: Research Data in Discrete Mathematics
  • Date: 13.03.2023 - 14.03.2023
  • Location: Max Planck Institute for Mathematics in the Sciences, Inselstrasse 22, Leipzig (Germany)
  • Organized by: Christiane Görgen, Martina Juhnke-Kubitzke, Thomas Kahle, Lars Kastner, Raman Sanyal, Christian Stump
  • More information: See the homepage of the Conference
  • Contact: Tabea Bacher
Discrete mathematics has a long-standing tradition of generating and utilizing data to substantiate theories. Conversely, questions regarding the systematic generation of (counter-)examples drives research. This 2-day “noon-to-noon” workshop is dedicated to the interplay of discrete data and discrete structures from a contemporary perspective. How FAIR is our data? How can modern technology help to analyze and interpret discrete data? Which connections to the sciences become visible through data? We approach these questions “hands-on” with invited lectures and panel discussions.
Conference: Solving hard polynomial systemsSolving systems of polynomial equations is a challenging and ubiquitous problem in pure and applied mathematics. Algorithmic techniques for solving polynomial systems have been successfully employed to tackle problems from diverse areas such as biology, physics, and robotics. State-of-the-art algorithms are based on symbolic techniques, such as Gröbner bases, numerical methods, such as homotopy continuation, or use a mixed approach. This workshop has the aim to give hands on experience in applying these techniques and methods to concrete problems of interest to the participants. We therefore invite the participants to share problems beforehand that they deem novel or interesting. Registration will open on December 1.
Summer school: Summer School on PDEs and Randomness
  • Date: 10.05.2023 - 24.05.2023
  • Location: Max Planck Institute for Mathematics in the Sciences, Inselstrasse 22, Leipzig (Germany)
  • Organized by: Rishabh Gvalani, Francesco Mattesini, Felix Otto, Markus Tempelmayr
  • More information: See the homepage of the Summer school
  • Contact: Katja Heid
The purpose of this summer school is to introduce young researchers to cutting-edge topics at the interface of PDEs and probability theory. Over the course of five mini-courses, leading researchers will present introductions to their areas of research:
  • Roland Bauerschmidt (University of Cambridge)
  • Bjoern Bringmann (Institute for Advanced Study/Princeton University)
  • Mitia Duerinckx (Université Libre de Bruxelles/Université Paris-Saclay)
  • Eva Kopfer (Rheinische Friedrich-Wilhelms-Universität Bonn)
  • Nicolas Perkowski (Freie Unversität Berlin)
Additionally, there will be tutorial sessions organized by the junior participants with support from the organizers. Funding towards travel and accommodation is available for early career participants such as postdoctoral researchers, PhD and master students. The deadline for applications for funding is January 31, 2023.

Please direct comments or technical questions to Heiko Schinke, Phone: +49/341/9959 - 692
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