
Workshop Modern Math Workshop 2024
Updated on Jul 24, 2024 04:45 PM PDT 
Workshop Critical Issues in Mathematics Education 2025: K12 Mathematics Literacy for 21stCentury Citizenship
Organizers: David Barnes (National Council of Teachers of Mathematics (NCTM)), Marta Civil (University of Arizona), Josué Cordones (Bronx Collaborative High School), Bill Crombie (The Algebra Project), Courtney Ginsberg (Math for America), Mark Hoover (University of Michigan), Emille Lawrence (University of San Francisco), Maisha Moses (The Young People's Project), Benjamin Moynihan (The Algebra Project, Inc.), Karen Saxe (Macalester College), Robin Wilson (Loyola Marymount University)Activist Bob Moses argued that mathematical literacy was the next civil rights front line. The 2025 CIME workshop will explore what mathematical literacy might mean and why it still matters for citizenship now and in the future. The workshop’s longterm impact relies on the participation of research mathematicians, mathematics educators, educational researchers, teachers of school mathematics, and policymakers working across different perspectives and roles to foster collaboration that will raise the floor for mathematical literacy for citizenship now and in the future.
Updated on Aug 15, 2024 03:00 PM PDT 
Workshop 2025 Workshop on Mathematics and Racial Justice
Organizers: Nathan Alexander (Howard University), Ron Buckmire (Marist College), Kari Kokka (University of Nevada, Las Vegas), Omayra Ortega (Sonoma State University), Victor Piercey (Ferris State University), Robin Wilson (Loyola Marymount University)The overarching goal of the 2025 Workshop on Mathematics and Racial Justice is to extend our explorations of how the mathematical sciences plays a central role in today's movement for racial justice. We will examine the various systems identified in the 2021 Math and Racial Justice workshop and consider the impact of these systems on BIPOC (Black, Indigenous, and people of color) communities. This workshop defines racial justice as the result of intentional, active and sustained antiracist practices that identify and dismantle racist structures and policies that operate to oppress, disenfranchise, harm, and devalue BIPOC people. This workshop will bring together mathematicians, statisticians, computer scientists, STEM educators, and members of the general public interested in using the tools of these disciplines to critically examine and eradicate racial disparities in society. Researchers with expertise or interest in problems at the intersection of the mathematical sciences and racial justice are strongly encouraged to participate. Thanks to funding from the Mathematical Sciences Institutes Diversity Initiative, there is financial support available for a limited number of attendees. This inperson workshop will take place over three days, May 79, 2025, at SLMath in Berkeley, CA. The themes for this year’s workshop are 1) developing racial literacy, 2) science and technology studies, 3) law and policy, and 4) education.
Updated on Aug 22, 2024 11:43 AM PDT 
Summer Graduate School Local Limits of Random Graphs (ParisSaclay University, France)
Organizers: Ainhoa AparicioMonforte (Fondation Mathématique Jacques Hadamard (FMJH)), Alexandra Genesco (Fondation Mathématique Jacques Hadamard (FMJH)), LEAD Pascal Massart (Fondation Mathématique Jacques Hadamard (FMJH))Random graphs are ubiquitous in modern probability theory. Besides their intrinsic mathematical beauty, they are also used to model complex networks. In the early 2000’s, I. Benjamini and O. Schramm introduced a mathematical framework in which they endowed the set of locally finite rooted connected graphs with the structure of a Polish space, called the local topology. The goal of this summer school is to introduce the framework of local limits of random graphs, the concepts of BenjaminiSchramm (or unbiased) limits and unimodularity, as well as the most important applications. The lectures will be delivered by Nicolas Curien (Prof. ParisSaclay University) and Justin Salez (Prof. Université ParisDauphine) and will be complemented by many problem sessions, where students will work in small groups under the guidance of teaching assistants, who are researchers in the field.
Updated on Jul 12, 2024 01:18 PM PDT 
Summer Graduate School 2025 PIMSCRM Summer School in Probability (Vancouver, Canada)
Organizers: Louigi AddarioBerry (McGill University), Omer Angel (University of British Columbia), Mathav Murugan (University of British Columbia), Gordon Slade (University of British Columbia)The Summer Schools in Probability are a highlight of Canadian probability and are internationally significant. Launched by PIMS in 2004, the school takes the form of two main 4week courses along with three minicourses. The schools have played a major role in the development of an exceptionally strong community of young probabilist in Canada, North America and overseas. This will be the 13th time this school has run.
Updated on Mar 22, 2024 01:06 PM PDT 
Summer Graduate School Séminaire de Mathématiques Supérieures 2025: An Introduction to Recent Trends in Commutative Algebra (Toronto, Canada)
Organizers: Sergio Da Silva (Virginia State University), Federico Galetto (Cleveland State University), Elena Guardo (Università di Catania), Megumi Harada (McMaster University), Patricia Klein (Texas A & M University), Jenna Rajchgot (McMaster University), Adam Van Tuyl (McMaster University)The 2025 SMS will allow graduate students to learn about a number of recent trends and advances in the field of commutative algebra. The aim of the SMS is to provide an “onramp” for graduate students interested in algebra, combinatorics, and/or algebraic combinatorics to learn more about commutative algebra’s interaction with these fields. The introductory courses will introduce fundamental skills in commutative algebra, the more intermediate courses will expose students to cuttingedge research in the field. The school will focus on four topics within commutative algebra: Combinatorial Methods, Homological Methods, Computational Methods, and Characteristic p Methods. The SMS will provide both a series of introductory lectures and intermediate/advanced lectures from leaders in one of the four areas. The lectures will include a series of problem sessions that will allow participants to develop and hone their skills in these areas, which will be especially helpful for new people to the field. Participants will be encouraged to work collaboratively, both to enhance their own mathematical networks as well as to promote future collaborations beyond the school.
Updated on Aug 29, 2024 11:42 AM PDT 
Summer Graduate School Statistical Optimal Transport (SLMath)
Organizers: LEAD Promit Ghosal (Brandeis University), Jonathan NilesWeed (New York University, Courant Institute), Marcel Nutz (Columbia University)This summer school offers an exceptional opportunity for participants to delve into the intricate realm of statistical optimal transport theory. This captivating field stands at the crossroads of multiple disciplines, drawing from a rich tapestry of mathematical insights from diverse subjects, including partial differential equations, stochastic analysis, convex geometry, statistics, and machine learning, crafting a vibrant and interdisciplinary landscape. The foremost objective of this summer school is to create a dynamic learning environment that unites students from diverse backgrounds such as PDE theory, probability, or optimal transport.
Updated on Aug 26, 2024 02:09 PM PDT 
Summer Graduate School Mathematics of Climate, Sea Ice, and Polar Ecosystems (Fairbanks, Alaska)
Organizers: Kenneth Golden (University of Utah), Jody Reimer (University of Utah)In this summer school, students will be introduced to mathematical and computational modeling of sea ice and polar ecosystems in a warming climate. As a material, sea ice is a multiscale composite structured on length scales ranging from tenths of millimeters to tens of kilometers. From tiny brine inclusions and surface melt ponds of increasing complexity, to ice floes of varying sizes in a seawater host, a principal challenge is how to find sea ice effective properties that are relevant to larger scale climate and process models, given data on smaller scale structures. Similarly, the sea ice ecosystem ranges from algae living in the brine inclusions to charismatic megafauna like penguins and polar bears, whose diets depend critically, down the line, on the tiny sea ice extremophiles. The dynamics of sea ice microbial communities are regulated by the physics of the ice microstructure, and, in turn, many of these microbes modify their environment by secreting extracellular polymeric substances. In addition to sea ice and its ecosystems, we will consider mathematical modeling of the broader climate system, including energy balance models, climate and ecological tipping points, and global circulation models.
Updated on Sep 06, 2024 02:19 PM PDT 
Summer Graduate School Graphical Models in Algebraic Combinatorics (SLMath)
Organizers: Christian Gaetz (University of California, Berkeley), David Keating (University of Illinois at UrbanaChampaign), Melissa ShermanBennett (University of California, Davis), LEAD Anna Weigandt (University of Minnesota)This school will introduce students to a range of powerful combinatorial tools used to understand algebraic objects ranging from the homogeneous coordinate ring of the Grassmannian to symmetric functions. The summer school will center around two main lecture series "Webs and Plabic Graphs" and "Vertex Models and Applications". While the exact applications differ, both courses will center on graphical models for algebraic problems closely related to Grassmannian and its generalizations. This school will be accessible to a wide range of students. Students will leave the school with a solid grasp of the combinatorics of webs, plabic graphs, and the sixvertex model, an understanding of their algebraic applications, and a taste of current research directions.
Updated on Aug 26, 2024 02:08 PM PDT 
Summer Graduate School New Perspectives on Discriminants and Applications (Leipzig, Germany)
Organizers: Eliana Duarte (Centro de Matemática da Universidade do Porto), Serkan Hosten (San Francisco State University), Simon Telen (MaxPlanckInstitut)This summer school will offer a handson introduction to discriminants, with a view towards modern applications. Starting from the basics of computational algebraic geometry and toric geometry, the school will gently introduce participants to the foundations of discriminants. A particular emphasis will be put on computing discriminants of polynomial systems using computer algebra software. Then, we will dive into three applications of discriminants: algebraic statistics, geometric modeling, and particle physics. Here, discriminants contribute to the study of maximum likelihood estimation, to finding practical parametrizations of geometric objects, and to computations of scattering amplitudes. We will explain recently discovered unexpected connections between these three applications. In addition to lectures, the summer school will have daily collaborative exercise sessions which will be guided by the teaching assistants and will include software demonstrations.
Updated on Aug 26, 2024 11:54 AM PDT 
Summer Graduate School Noncommutative Algebraic Geometry (Antwerp, Belgium)
Organizers: Pieter Belmans (University of Luxembourg), Lander Hermans (Universiteit Antwerp), Wendy Lowen (Universiteit Antwerpen), Arne Mertens (Universiteit Antwerp), Michel VAN DEN BERGH (Hasselt University), Špela Špenko (Université Libre de Bruxelles)The school will consist of two courses: Homological Mirror Symmetry and Algebraic Models for Spaces. These courses will be planned and taught by organisers with the help of teaching assistants for the problem sessions. The school will be aimed at a wide range of graduate students, from students with a Bachelor degree to beginning PhD students. The lectures and problem sessions will be complemented by a poster session in week one and a total of four introductory research talks on Friday afternoons.
Updated on Sep 05, 2024 03:17 PM PDT 
Summer Graduate School Computer Assisted Proofs in Applied Mathematics (SLMath)
Organizers: LEAD Jonathan Jaquette (New Jersey Institute of Technology), Evelyn Sander (George Mason University)One of the core elements of applied mathematics is mathematical modeling consisting of nonlinear equations such as ODEs, and PDEs. A fundamental difficulty which arises is that most nonlinear models cannot be solved in closed form. Computer assisted proofs are at the forefront of modern mathematics and have led to many important recent mathematical advances. They provide a way of melding analytical techniques with numerical methods, in order to provide rigorous statements for mathematical models that could not be treated by either method alone. In this summer school, students will review standard computational and analytical techniques, learn to combine these techniques with more specialized methods of interval arithmetic, and apply these methods to establish rigorous results in otherwise intractable problems
Updated on Apr 08, 2024 08:55 AM PDT 
Summer Graduate School Geometry and Dynamics in Higher Rank Lie Groups (St. Mary's College)
Organizers: Richard Canary (University of Michigan), Sara Maloni (University of Virginia), Wenyu Pan (University of Toronto), Cagri Sert (University of Zurich), LEAD Tengren Zhang (National University of Singapore)Lie groups are central objects in modern mathematics; they arise as the automorphism groups of many homogeneous spaces, such as flag manifolds and Riemannian symmetric spaces. Often, one can construct manifolds locally modelled on these homogeneous spaces by taking quotients of their subsets by discrete subgroups of their automorphism groups. Studying such discrete subgroups of Lie groups is an active and growing area of mathematical research. The objective of this summer school is to introduce young researchers to a class of discrete subgroups of Lie groups, called Anosov subgroups.
Updated on Apr 18, 2024 08:43 AM PDT 
Summer Graduate School Topological and Geometric Structures in Low Dimensions (SLMath)
Organizers: LEAD Kenneth Bromberg (University of Utah), Kathryn Mann (Cornell University)This school will serve as an introduction to the SLMath semester “Topological and Geometric Structures in LowDimensions”. The school consists of two minicourses: one on Teichmüller Theory and Hyperbolic 3Manifolds and the other on Anosov Flows on Geometric 3Manifolds. Both topics lie at the interface of lowdimensional geometric topology (specifically, surfaces, foliations, and 3manifolds) and lowdimensional dynamics. The first course will be targeted towards students who have completed the standard first year graduate courses in geometry, topology, and analysis while the second course will geared towards more advanced students who are closer to beginning research. However, we expect that all students will benefit from both courses.
Updated on Mar 21, 2024 09:48 AM PDT

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