Mathematical Sciences Research Institute

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Upcoming Educational Events

  1. Workshop Modern Math Workshop 2017

    Organizers: Hélène Barcelo (MSRI - Mathematical Sciences Research Institute), Leslie McClure (SAMSI - Statistical and Applied Mathematical Sciences Institute), Christian Ratsch (University of California, Los Angeles; Institute of Pure and Applied Mathematics (IPAM)), Ulrica Wilson (Morehouse College; Institute for Computational and Experimental Research in Mathematics (ICERM))

    As part of the Mathematical Sciences Collaborative Diversity Initiatives, nine mathematics institutes are pleased to offer their annual SACNAS pre-conference event, the 2017 Modern Math Workshop (MMW). The Modern Math Workshop is intended to encourage minority undergraduates to pursue careers in the mathematical sciences and to assist undergraduates, graduate students and recent PhDs in building their research networks. The Modern Math Workshop is part of the SACNAS National Conference; the workshop and the conference take place in the Salt Palace Convention Center in Salt Lake City, Utah. The MMW starts at 1:00 pm on Wednesday, October 18 with registration beginning at noon.

    Updated on May 18, 2017 10:37 AM PDT
  2. Workshop Critical Issues in Mathematics Education 2018: Access to mathematics by opening doors for students currently excluded from mathematics

    Organizers: Aditya Adiredja (University of Arizona), LEAD Julia Aguirre (University of Washington - Tacoma), Kate Belin (Fannie Lou Hamer Freedom High School), LEAD Ricardo Cortez (Tulane University), Michael Driskill (Math for America ), Nicole Joseph (Vanderbilt University), Katherine Stevenson (California State University, Northridge), Francis Su (Harvey Mudd College), Maria del Rosario Zavala (San Francisco State University)

    Our mathematics education system is inequitable. It operates in ways that leave a significant proportion of students with negative mathematics experiences and inadequate mathematical preparation. The problem is historical and systemic, and the students most disaffected by the current system are overwhelmingly Black and Latino, Indigenous, poor, women, immigrant or first generation college students. If our mathematics community is to sustainably grow and thrive, mathematics education at all levels must be transformed.

    This workshop focuses on students for whom we do not yet successfully ensure access to and advancement in mathematics. Sessions will share relevant programmatic efforts and innovative research that have been shown to maintain or increase students’ engagement and interests in mathematics across k-12, undergraduate and graduate education. The sessions will focus particularly on reproducible efforts that affirm those students’ identities and their diverse intellectual resources and lived experiences. These efforts at various levels of mathematics education will highlight ways in which meaningful experiences in mathematics can disrupt ongoing systemic oppression. Participants will leave with conceptual and practical ways to open up and elevate mathematics education where all students thrive.

    Updated on Jun 21, 2017 03:32 PM PDT
  3. Summer Graduate School The ∂-Problem in the Twenty-First Century

    Organizers: Debraj Chakrabarti (Central Michigan University), Jeffery McNeal (Ohio State University)

    This Summer Graduate School will introduce students to the modern theory of the  inhomogeneous Cauchy-Riemann equation, the fundamental partial differential equation of Complex Analysis. This theory uses powerful tools of partial differential equations, differential geometry and functional analysis to obtain a refined understanding of holomorphic functions on complex manifolds. Besides students planning to work in complex analysis, this course will be valuable to those planning to study partial differential equations, complex differential and algebraic geometry, and operator theory. The exposition will be self-contained and the prerequisites will be kept at a minimum

    Updated on Jul 20, 2017 11:48 AM PDT
  4. MSRI-UP MSRI-UP 2018: The Mathematics of Data Science

    Organizers: Federico Ardila (San Francisco State University), Duane Cooper (Morehouse College), LEAD Maria Mercedes Franco (Queensborough Community College (CUNY)), Rebecca Garcia (Sam Houston State University), Suzanne Weekes (Worcester Polytechnic Institute)

    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 2018, MSRI-UP will focus on the core role of (linear) algebra in current research and application areas of Data Science ranging from unsupervised learning, clustering and networks, to algebraic signal processing and feature extraction, to the central role linear algebra plays in deep machine learning.  The research program will be led by Dr. David Uminsky, Associate Professor of Mathematics and Statistics at the University of San Francisco.

    Updated on Jul 03, 2017 02:40 PM PDT
  5. Summer Graduate School Derived Categories

    Organizers: Nicolas Addington (University of Oregon), LEAD Alexander Polishchuk (University of Oregon)

    The goal of the school is to give an introduction to basic techniques for working with derived categories, with an emphasis on the derived categories of coherent sheaves on algebraic varieties. A particular goal will be to understand Orlov’s equivalence relating the derived category of a projective hypersurface with matrix factorizations of the corresponding polynomial.

    Updated on Jul 20, 2017 12:29 PM PDT
  6. Summer Graduate School H-principle

    Organizers: Emmy Murphy (Northwestern University), Takashi Tsuboi (University of Tokyo)

    Updated on Jul 20, 2017 12:54 PM PDT
  7. Summer Graduate School Representations of High Dimensional Data

    Organizers: Blake Hunter (Claremont McKenna College), Deanna Needell (University of California, Los Angeles)

    In today's world, data is exploding at a faster rate than computer architectures can handle. This summer school will introduce students to modern and innovative mathematical techniques that address this phenomenon. Hands-on topics will include data mining, compression, classification, topic modeling, large-scale stochastic optimization, and more.

    Updated on Jul 20, 2017 01:46 PM PDT