Conferences  >  Mathematics  >  Courses and Events for Math Students and Early Career Researchers  >  United States

This conference will focus on recent developments in various subfields of geometric and quantum topology and their related representation theory. The goal of this conference is to share current research with graduate students and postdoctoral scholars as well as to give an opportunity for them to talk about their work. There will be plenary talks by Thang Le (Georgia Institute of Technology), Ina Petkova (Dartmouth College), and Lisa Piccirillo (Massachusetts Institute of Technology). Each plenary speaker will deliver one introductory lecture and one research lecture. The remaining talks will be given by early career mathematicians, particularly graduate students and postdoctoral fellows.

We especially encourage graduate students to submit talk abstracts! The deadline to apply for funding and submit a talk abstract is March 10th, 2023; see the conference website for instructions.

low-dimensional, geometry, topology, quantum topology

Commutative Algebra has seen an extraordinary development in the last few years. Long standing conjectures have been proven and new connections to different areas of mathematics have been built.This summer graduate school will consist of three mini-courses (4 lectures each) on fundamental topics in commutative algebra that are not covered in the standard courses. Each course will be accompanied by problem sessions focused on research. Six general colloquium-style lectures will be given by invited scholars who will also attend the school and help with afternoon research activities.

University of Illinois Urbana-Champaign

Summer School in Graph Coloring, May 23-26; EXCILL IV Conference, May 27-28; Summer School in Algebraic Methods in Combinatorics, May 29-June 1

University of Illinois Urbana-Champaign

Graph Theory and Combinatorics,    Algebra

Mathematical Sciences Research Institute (MSRI)

Computational proof assistants now make it possible to develop global, digital mathematical libraries with theorems that are fully checked by computer. This summer school will introduce students to the new technology and the ideas behind it, and will encourage them to think about the goals and benefits of formalized mathematics. Students will learn to use the Lean interactive proof assistant, and by the end of the session they will be in a position to formalize mathematics on their own, join the Lean community, and contribute to its mathematical library.

Algebra,    Automated Theorem Proving

Mathematical Sciences Research Institute (MSRI)

The overarching goal of this summer school is to expose the students both to modern forms of unsupervised learning — in the form of geometrical and topological data analysis — and to supervised learning — in the form of (deep) neural networks applied to regression/classification problems. The organizers have opted for a lighter exposure to a broader range of topics. Using the metaphor of a meal, we are offering 2 + 2 samplers — geometry and topology for data analysis + theoretical and practical deep learning — rather than 1 + 1 main dishes. The main goal, thus, is to inspire the students to learn more about one or several of the topics covered in the school.

Mathematical Sciences Research Institute (MSRI)

The school will provide the mathematical and theoretical computer science toolbox that forms the foundation of market and mechanism design - two of the burning research areas of the 21st century. Market and mechanism design are beautiful examples of how deep mathematical theory can lead to improved design of real-world marketplaces and auctions. We shall consider the algorithmic, complexity, economic and societal aspects of these topics.

Mathematical Sciences Research Institute (MSRI)

This graduate summer school will introduce students to two important and inter-related fields of differential geometry: geometric flows and minimal surfaces.

Algebra,    Geometry and Topology

Mathematical Sciences Research Institute (MSRI)

The school is built around two related courses on geometric (‘derived spaces’) and categorical (‘derived categories’) aspects of the theory. Our goal is to explain the key ideas and concepts, while trying to keep technicalities to a minimum.

Mathematical Sciences Research Institute (MSRI)

Mathematical Sciences Research Institute (MSRI)

The goal of the summer school is for the students to first become familiar with the concept of concentration of measure in different settings (Euclidean, Riemannian and discrete), and the main open problems surrounding it. The students will later become familiar with the proof techniques that involve the different types of localization and obtain expertise on the ways to apply the localization techniques. After attending the graduate school, the students are expected to have the necessary background that would give them a chance to both conduct research around open problems in concentration of measure, find new applications to existing localization techniques and perhaps also develop new localization techniques.

Probability and Statistics, Game Theory,    Geometry and Topology

Mathematical Sciences Research Institute (MSRI)

This summer school will introduce graduate students to sketching-based approaches to computational linear and multi-linear algebra. Sketching here refers to a set of techniques for compressing a matrix, to one with fewer rows, or columns, or entries, usually via various kinds of random linear maps. We will discuss matrix computations, tensor algebras, and such sketching techniques, together with their applications and analysis.

Information & Knowledge Management, Big Data Computing,    Scientific Computing and Data Science

University of Oregon, Eugene

In this workshop we will explore the structure of these categorified Coulomb branches. The simplest (!) example of a categorified Coulomb branch is the coherent Satake category, that is, the category of perverse coherent sheaves on the affine Grassmannian of a complex reductive group (such as GL_n). This is the coherent analogue of the more classical (constructible) Satake category which plays a fundamental role in the geometric Langlands program. We don't expect participants to know what many of those words mean, but they will by the end of the workshop!

Algebra,    Geometry and Topology

Algebra,    Geometry and Topology

University of Wyoming

The Graduate Research Workshop in Combinatorics (GRWC) is an annual two-week collaborative research workshop for advanced graduate students and postdocs from all areas of combinatorics. Participants work in small collaborative groups with faculty and postdocs on research problems from across the discipline. The workshops also host a variety of professional development workshops to prepare students and postdocs for industrial and academic careers. Participants have come from institutions around the world.

Email: Combinatorics.Workshop@gmail.com

combinatorics, graph theory, algebraic combinatorics, enumeration, computational combinatorics, combinatorial matrix theory

This will be a workshop in Algebraic Geometry, in topics (tangentially) related to the Stacks project. The participants who apply and are accepted will be graduate students, post-docs, or even senior researchers. Roughly the idea is that they will learn about and work on a single topic in a small group together with a mentor for a week. Part of this process will be seeing how one builds new theory from the foundations. There will also be some talks each day covering advanced topics in algebraic geometry. Mathematicians not in the groups are welcome to come to these talks.

Algebra,    Geometry and Topology