• Geometry and Mathematical Physics Seminar

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Geometry and Mathematical Physics Seminar Speaker: Brian Williams, Boston University

  • Member Seminar

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Member Seminar Speaker: Elena Kim  

  • Colloquium

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Colloquium

  • Lagrangian Floer Theory and Applications Program

    CMSA 20 Garden Street Cambridge, Massachusetts 02138 United States

    Lagrangian Floer theory and Applications Program Dates: September 15–November 21, 2026 Location: CMSA G10, 20 Garden St., Cambridge MA 02138 This thematic program will focus on recent developments in Lagrangian Floer theory and applications.  These include the development of family Floer theory, degeneration techniques, Floer homotopy theory in the Lagrangian case, Floer theory in prime […]

  • Colloquium

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Colloquium

  • CMSA Special Seminar: Deformations to the Complex Plane, Novel Asymptotic Techniques, and the Large t- Asymptotics of the Riemann Zeta Function

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    CMSA Special Seminar Speaker: Thanasis Fokas, University of Cambridge Title: Deformations to the Complex Plane, Novel Asymptotic Techniques, and the Large t- Asymptotics of the Riemann Zeta Function Abstract: The Unified Transform (also known as the Fokas method) is a powerful new method for solving boundary value problems for linear and for integrable nonlinear PDEs. For […]

  • Mathematical Economics Seminar: Algorithmic Decision-Making

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Mathematical Economics Seminar: Algorithmic Decision-Making Speaker: Ashesh Rambachan, MIT Title: Human Decisions and Machine Predictions in Multistage Systems Abstract: Many high-stakes decisions go through successive stages of human review before a final decision is made, complicating efforts to evaluate both the human decision-makers and algorithmic counterfactuals. We develop a framework for evaluating both humans and algorithms […]