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  1. MSRI-UP MSRI-UP 2026: Numerical Methods for Differential Equations

    Organizers: LEAD Alexander Diaz-Lopez (Villanova University), Maria Mercedes Franco (Queensborough Community College (CUNY)), Rebecca Garcia (Colorado College), Johnny Guzman (Brown University), Candice Price (Smith College), Robin Wilson (Loyola Marymount University)

    The MSRI-UP summer program is designed to serve a diverse group of undergraduate students who would like to conduct research in the mathematical sciences.

    In 2026, MSRI-UP will focus on Numerical Methods for Differential Equations The research program will be led by Dr. Johnny Guzman of Brown University.

    Updated on Apr 24, 2026 07:40 AM PDT
  2. PROOF PROOF 2026

    PROOF (Promoting Research Opportunities and Open Forums) is a two-week summer program designed to provide research opportunities for U.S.-based mathematicians, statisticians, and their collaborators in the U.S. and abroad, whose ongoing research may have been impacted by factors such as heavy teaching loads, professional isolation, limited access to funding, heavy administrative duties, personal obligations, or other constraints.

    The program welcomes in-person participation from faculty and advanced graduate students at all U.S. colleges and universities. It aligns with SLMath’s broader goal to open doors to mathematics by creating environments where researchers from a wide range of institutional settings can thrive, pursue projects, and reach their full academic/scientific potential.

    Updated on May 20, 2026 03:33 PM PDT
  3. Summer Graduate School Singularities in Commutative Algebra Through Cohomological Methods (SLMath)

    Organizers: Benjamin Briggs (Imperial College, London), EloĆ­sa Grifo (University of Nebraska), Josh Pollitz (Syracuse University)
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    <p>Homotopy measures how spheres can be tangled in spaces; the logo shows a sphere tangled in a grove of California redwoods<br />The background painting is &ldquo;Giant Redwood Trees of California&rdquo; by Albert Bierstadt in 1874</p>

    The goal of this school will be to introduce students to several powerful cohomological tools that were brought to commutative algebra by Avramov in the 80s and 90s: Lie algebra methods from homotopy theory, and support theoretic methods from the representation theory of finite groups. These tools have have seen a huge array of applications that continue to grow, with several major developments in recent years, opening new connections to algebraic topology, noncommutative algebraic geometry, and representation theory.

    Updated on Jul 10, 2026 11:25 AM PDT
  4. Summer Graduate School Dynamical Systems for Machine Learning and AI (IBM Yorktown)

    Organizers: Soumyadip Ghosh (IBM Thomas J. Watson Research Center), LEAD Yingdong Lu (IBM Thomas J. Watson Research Center), Tomasz Nowicki (IBM Thomas J. Watson Research Center)
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    This Summer Graduate School aims to introducing graduate students to some aspects of contemporary modeling and analysis of dynamical systems in their interactions with machine learning and artificial intelligence (AI) applications.

    Updated on Jul 14, 2026 01:18 PM PDT