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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260427T090000
DTEND;TZID=America/New_York:20260501T170000
DTSTAMP:20260501T203819
CREATED:20250724T175158Z
LAST-MODIFIED:20260303T143324Z
UID:10002832-1777280400-1777654800@www.math.harvard.edu
SUMMARY:CMSA Mathematics and Biology II: Mathematics and Science of Behavior
DESCRIPTION:Mathematics and Biology II: Mathematics and Science of Behavior\n\nApril 27\, 2026 @ 9:00 am – May 1\, 2026 @ 5:00 pm\n\n\n\nMathematics and Biology II: Mathematics and Science of Behavior \nDates: April 27 –May 1\, 2026 \nLocation: Harvard CMSA\, Room G10\, 20 Garden Street\, Cambridge MA \n\n\nThis meeting will explore the emerging mathematics and science of embodied cognition—the idea that behavior arises not solely from the brain but through the dynamic interaction of brain\, body\, and environment. Understanding how animals sense\, move\, decide\, and coordinate\, from individual sensorimotor loops to collective dynamics\, demands mathematical frameworks that integrate geometry\, dynamics\, stochastic processes\, control theory\, and multiscale physics. The meeting will bring together experimentalists studying behavior across species with theorists and engineers building mathematical models and bio-inspired machines\, to identify shared principles of adaptive behavior. \n\n\nCo-organizers: L. Mahadevan (Harvard)\, Francesco Mori (Harvard CMSA)\, Venkatesh Murthy (Harvard) \nDetails TBA \n\n\n\n\nSee the CMSA website for more details.
URL:https://www.math.harvard.edu/event/mathematics-and-biology-ii-cognition-neuroscience-psychology-and-geometry/
LOCATION:CMSA\, 20 Garden St\, G10\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:CMSA EVENTS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260504T150000
DTEND;TZID=America/New_York:20260504T160000
DTSTAMP:20260501T203819
CREATED:20260428T184010Z
LAST-MODIFIED:20260428T184010Z
UID:10003162-1777906800-1777910400@www.math.harvard.edu
SUMMARY:Three-color van der Waerden numbers grow super-exponentially
DESCRIPTION:The van der Waerden number w(k;r) is the minimum positive integer N such that every r-coloring of the positive integers up to N contains a monochromatic k-term arithmetic progression. Estimating these numbers has remained a challenging open problem for the past century. In this talk\, we will sketch a proof that the three-color van der Waerden number w(k;3) grows faster than any exponential in k. This settles several longstanding conjectures in the area. Time permitting\, we will discuss a variety of related results. Based on joint work with Zach Hunter. \nFor information about the Richard P. Stanley Seminar in Combinatorics\, visit… https://math.mit.edu/combin/
URL:https://www.math.harvard.edu/event/three-color-van-der-waerden-numbers-grow-super-exponentially/
LOCATION:MIT Room 2-143
CATEGORIES:HARVARD-MIT COMBINATORICS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260504T150000
DTEND;TZID=America/New_York:20260504T160000
DTSTAMP:20260501T203819
CREATED:20260430T154036Z
LAST-MODIFIED:20260430T154036Z
UID:10003166-1777906800-1777910400@www.math.harvard.edu
SUMMARY:Twisted D-branes and TQFTs valued in Calabi-Yau categories
DESCRIPTION:Recently\, Bozec–Calaque–Scherotzke have articulated a noncommutative version of the AKSZ construction\, which associates to a smooth Calabi–Yau category a fully extended TQFT valued in a category of iterated Calabi–Yau cospans. In this talk\, I will study a class of examples of such theories which arise in the context of conjectures of Costello and Li\, which describe Type II strings in certain Ramond–Ramond backgrounds as topological strings. These TQFTs capture structural features of the BPS physics of D-branes that are universal in Chan–Paton factors. Conjecturally commutative limits of the values of such theories on closed manifolds can sometimes be geometrically quantized to yield algebraic structures with Hall-type products. Examples of this paradigm include CoHAs associated to complex 3-folds\, CoHAs attached to local systems on 3-manifolds\, and the categorified Hall algebras of Porta–Sala. \nIn person and online: \n\nZoom link: https://harvard.zoom.us/j/98290689769\nPassword: CMSA-QFTPM
URL:https://www.math.harvard.edu/event/twisted-d-branes-and-tqfts-valued-in-calabi-yau-categories/
LOCATION:CMSA\, 20 Garden St\, G02\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:CMSA QUANTUM FIELD THEORY AND PHYSICAL MATHEMATICS SEMINAR
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260504T163000
DTEND;TZID=UTC:20260504T173000
DTSTAMP:20260501T203819
CREATED:20260421T143556Z
LAST-MODIFIED:20260421T143556Z
UID:10003152-1777912200-1777915800@www.math.harvard.edu
SUMMARY:Dynamics as intersection problem
DESCRIPTION:Most classical and quantum field theories are based on an action principle. However\, there are important exceptions to this — hydrodynamics and the theory of self-dual fields. In this talk we formulate the covariant relativistic fluid dynamics\, with or without magnetic fields\, as well as the theory of chiral boson in 1+1 dimensions\, self-dual tensor in 1+5 dimensions\, and self-dual four-form of IIB supergravity\, in terms of intersection theory of an auxiliary phase space. This provides a common covariant geometric framework for systems without a conventional action\, while at the same time laying the groundwork for quantization via the Kontsevich approach. Joint work with Paul Wiegmann.
URL:https://www.math.harvard.edu/event/dynamics-as-intersection-problem/
LOCATION:CMSA\, 20 Garden St\, G10\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:CMSA COLLOQUIUM
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260505T150000
DTEND;TZID=America/New_York:20260505T160000
DTSTAMP:20260501T203819
CREATED:20260422T131248Z
LAST-MODIFIED:20260422T132611Z
UID:10003156-1777993200-1777996800@www.math.harvard.edu
SUMMARY:Moments of families of quadratic L-functions over function fields via homotopy theory
DESCRIPTION:This is a report of joint work with Bergström-Diaconu-Westerland and Miller-Patzt-Randal-Williams. There is a “recipe” due to Conrey-Farmer-Keating-Rubinstein-Snaith which allows for precise predictions for the asymptotics of moments of many different families of L-functions. We consider the family of all L-functions attached to hyperelliptic curves over some fixed finite field. One can relate this problem to understanding the homology of the hyperelliptic mapping class group with symplectic coefficients. With Bergström-Diaconu-Westerland we compute the stable homology groups of the hyperelliptic mapping class group with these coefficients\, together with their structure as Galois representations. With Miller-Patzt-Randal-Williams we prove a uniform range for homological stability with these coefficients. Together\, these results imply the CFKRS predictions for all moments in the function field case\, for all sufficiently large (but fixed) q. \n 
URL:https://www.math.harvard.edu/event/moments-of-families-of-quadratic-l-functions-over-function-fields-via-homotopy-theory/
LOCATION:MIT 2-131
CATEGORIES:HARVARD-MIT ALGEBRAIC GEOMETRY
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260506T140000
DTEND;TZID=America/New_York:20260506T150000
DTSTAMP:20260501T203819
CREATED:20260421T183404Z
LAST-MODIFIED:20260421T183404Z
UID:10003154-1778076000-1778079600@www.math.harvard.edu
SUMMARY:New directions in synthetic data
DESCRIPTION:Synthetic data has been an effective\, if boring set of techniques: prompt some language model to restructure your corpus to match some downstream task\, with occasionally some distillation. In this talk\, we will take a more expansive view of synthetic data as a general algorithmic tool for generative modeling\, arguing that the design space and possibilities of synthetic data are much bigger than it might seem. Through a few recent works\, we will show that synthetic data has major benefits beyond transforming the data – improving in-domain perplexities\, and enabling unique algorithmic primitives\, such as neighborhood smoothing and concatenated ‘mega’ documents. With this broader view\, we will point towards a nascent but interesting possibility of treating data itself as an algorithmic object to be engineered and optimized end-to-end. \nZoom: https://harvard.zoom.us/j/91864143060?pwd=liDbUVYXs47QsYhxdzXYowl8vpQGy1.1
URL:https://www.math.harvard.edu/event/new-directions-in-synthetic-data/
LOCATION:Virtually
CATEGORIES:CMSA NEW TECHNOLOGIES IN MATHEMATICS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260506T150000
DTEND;TZID=America/New_York:20260506T160000
DTSTAMP:20260501T203819
CREATED:20260430T132252Z
LAST-MODIFIED:20260430T132252Z
UID:10003164-1778079600-1778083200@www.math.harvard.edu
SUMMARY:Formalization of QFT
DESCRIPTION:Interactive theorem proving with the Lean 4 theorem prover\, Mathlib and AI coding assistants has recently become a powerful method for checking and developing rigorous mathematical proofs. In this talk we introduce the technology and survey recent works using it in mathematical physics. These include the construction of the free massive bosonic field and verification of the Osterwalder-Schrader axioms\, and work in progress to formalize the OS reconstruction theorem\, the construction of P(\phi)_2 theory\, and the proof of the Yang-Mills mass gap at strong coupling. Joint work with Sarah Hoback\, Anna Mei\, Ron Nissim\, Matteo Cipollina and Xi Yin. \nIn-person only\, to be posted after the talk on https://www.youtube.com/@mathematicalpicturelanguag2715/videos
URL:https://www.math.harvard.edu/event/formalization-of-qft/
LOCATION:Jefferson Lab 368\, 17 Oxford St\, Cambridge\, MA\, 02138\, United States
CATEGORIES:MATHEMATICAL PICTURE LANGUAGE
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260511T163000
DTEND;TZID=UTC:20260511T173000
DTSTAMP:20260501T203819
CREATED:20260407T195303Z
LAST-MODIFIED:20260410T132211Z
UID:10003127-1778517000-1778520600@www.math.harvard.edu
SUMMARY:Statistical Shape Analysis of Complex Natural Structures
DESCRIPTION:Statistical modeling and analysis of structured data is a fast-growing field in Statistics and Data Science. Rapid advances in imaging techniques have led to tremendous amounts of data for analyzing imaged objects across several scientific disciplines. Examples include shapes of cancer cells\, botanical trees\, human biometrics\, 3D genome\, brain anatomical structures\, crowd videos\, nano-manufacturing\, and so on. Shapes are relevant even in non-imaging data contexts\, e.g.\, the shapes of COVID rate curves or the shapes of activity cycles in lifestyle data. Imposing statistical models and inferences on shapes seems daunting because the shape is an abstract notion and one requires precise mathematical representations to quantify shapes. This talk has two parts. In the first part\, I will present some recent developments in “elastic representations” of structures such as functions\, curves\, surfaces\, and graphs. In the second part\, I will focus on statistical analyses: computing shape summaries\, estimation under shape constraints\, hypothesis testing\, time-series models\, and regression models involving shapes.
URL:https://www.math.harvard.edu/event/statistical-shape-analysis-of-complex-natural-structures/
LOCATION:CMSA\, 20 Garden St\, G10\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:CMSA COLLOQUIUM
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260518T080000
DTEND;TZID=America/New_York:20260522T170000
DTSTAMP:20260501T203819
CREATED:20250724T150957Z
LAST-MODIFIED:20251103T153056Z
UID:10002830-1779091200-1779469200@www.math.harvard.edu
SUMMARY:CMSA Workshop on Calabi-Yau metrics and optimal transportation
DESCRIPTION:Workshop on Calabi-Yau metrics and optimal transportation\n\nMay 18\, 2026 @ 9:00 am – May 22\, 2026 @ 5:00 pm\n\n\n\nWorkshop on Calabi-Yau metrics and optimal transportation \nDates: May 18–22\, 2026 \nLocation: Harvard CMSA \nSee the CMSA website for more details. \nOrganizers: Freid Tong\, U Toronto and Tristan Collins\, U Toronto
URL:https://www.math.harvard.edu/event/workshop-on-calabi-yau-metrics-and-optimal-transportation/
LOCATION:CMSA\, 20 Garden St\, G10\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:CMSA EVENTS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260520T140000
DTEND;TZID=America/New_York:20260520T150000
DTSTAMP:20260501T203819
CREATED:20260429T141842Z
LAST-MODIFIED:20260429T142307Z
UID:10003163-1779285600-1779289200@www.math.harvard.edu
SUMMARY:Separation of timescales controls feature learning and overfitting in large neural networks
DESCRIPTION:To understand the inductive bias and generalization capabilities of large\, overparameterized machine learning models\, it is essential to analyze the dynamics of their training algorithms. Using dynamical mean field theory we investigate the learning dynamics of large two-layer neural networks. Our findings reveal that\, for networks with a large width\, the training process exhibits a separation of timescales phenomenon. This leads to several key observations:\n1. The emergence of a slow timescale linked to the growth in Gaussian/Rademacher complexity of the network;\n2. An inductive bias favoring low complexity when the initial model complexity is sufficiently small;\n3. A dynamical decoupling between feature learning and overfitting phases;\n4. A non-monotonic trend in test error\, characterized by a “feature unlearning” regime at later stages of training.\nJoint work with Andrea Montanari. \nZoom: https://harvard.zoom.us/j/91864143060?pwd=liDbUVYXs47QsYhxdzXYowl8vpQGy1.1
URL:https://www.math.harvard.edu/event/separation-of-timescales-controls-feature-learning-and-overfitting-in-large-neural-networks/
LOCATION:Virtually
CATEGORIES:CMSA NEW TECHNOLOGIES IN MATHEMATICS
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260731
DTEND;VALUE=DATE:20260802
DTSTAMP:20260501T203819
CREATED:20260312T164103Z
LAST-MODIFIED:20260312T164515Z
UID:10003060-1785456000-1785628799@www.math.harvard.edu
SUMMARY:Introductory Statistics through Resampling: Addressing the Reproducibility Crisis in the Sciences
DESCRIPTION:Application Form\nTo apply\, please follow the link above and fill out the form\, where you will be asked to submit the following: \n\n1. Your Curriculum Vitae.\n2. A statement of purpose describing why you want to join the workshop and what you hope to get out of this.\n\n*Limited funding is available for applicants who apply by April 15th. \nSpace and funding are limited. \nThis workshop takes up the reproducibility crisis documented in psychology\, biomedicine\, economics\, and related sciences and treats it as an opportunity for statistics education rather than a shortcoming of practicing scientists. We will explore what the reproducibility crisis is in these fields and why it matters for scientific knowledge production. We will discuss connections between the widely reported replication failures and standard ways introductory statistics is taught. \nUsing Understanding Data: A 21st Century Approach to Statistics and Data Science\, the workshop introduces resampling as a core inferential method for reasoning about variability\, uncertainty\, and evidence. Participants will work through selected concepts and problems from the textbook and examine instructional choices involved in teaching a resampling-based introductory course. Time is reserved for focused discussion and expert consultation on adapting the curriculum to participants’ home institutions\, including pacing\, assessment\, and local program constraints. \nOrganizers \n\nAmanda Beacher (COMAP)\nJennifer A. Czocher (Texas State)\nEric J. Deeds (UCLA)\nAlan Garfinkel (UCLA)\nBrendan Kelly (Harvard)
URL:https://www.math.harvard.edu/event/introductory-statistics-through-resampling-addressing-the-reproducibility-crisis-in-the-sciences/
LOCATION:Science Center 530
CATEGORIES:ANNOUNCEMENTS,OTHER MATHEMATICS DEPARTMENT EVENTS
ATTACH;FMTTYPE=image/png:https://www.math.harvard.edu/wp-content/uploads/Poster-Modeling-First-Workshop-2026.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260916T120000
DTEND;TZID=UTC:20260916T130000
DTSTAMP:20260501T203819
CREATED:20260420T142306Z
LAST-MODIFIED:20260420T142306Z
UID:10003146-1789560000-1789563600@www.math.harvard.edu
SUMMARY:Truth\, proof\, and AI
DESCRIPTION:Hugh Woodin (Harvard) will speak on “Truth\, proof\, and AI.”
URL:https://www.math.harvard.edu/event/truth-proof-and-ai/
LOCATION:CMSA\, 20 Garden St\, Common Room\, 20 Garden Street\, Cambridge\, 02138\, United States
CATEGORIES:CMSA Q&A Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261119
DTEND;VALUE=DATE:20261121
DTSTAMP:20260501T203819
CREATED:20260316T143644Z
LAST-MODIFIED:20260325T125759Z
UID:10003091-1795046400-1795219199@www.math.harvard.edu
SUMMARY:Current Developments in Mathematics 2026
DESCRIPTION:Register to Attend\nOrganizers: Dennis Auroux (Harvard)\, David Jerison (MIT)\, Mark Kisin (Harvard)\, Nike Sun (MIT)\, Lauren Williams (Harvard). \nSponsored by the National Science Foundation (pending)\, Harvard University Department of Mathematics\, and the Massachusetts Institute of Technology. \nLimited funding to help defray travel expenses is available for graduate students and recent PhDs. If you are a graduate student or postdoc and would like to apply for support\, please register above and send an email to cdm@math.harvard.edu. Please include your name\, address\, current status\, university affiliation\, citizenship\, and area of study. F1 visa holders are eligible to apply for support. If you are a graduate student\, please send a brief letter of recommendation from a faculty member to explain the relevance of the conference to your studies or research. \nHarvard University is committed to maintaining a safe and healthy educational and work environment in which no member of the University community is\, on the basis of sex\, sexual orientation\, or gender identity\, excluded from participation in\, denied the benefits of\, or subjected to discrimination in any University program or activity. More information can be found here.
URL:https://www.math.harvard.edu/event/current-developments-in-mathematics-2026/
LOCATION:Harvard Science Center
CATEGORIES:ANNOUNCEMENTS,CONFERENCES
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20270315
DTEND;VALUE=DATE:20270320
DTSTAMP:20260501T203819
CREATED:20260320T161031Z
LAST-MODIFIED:20260501T164309Z
UID:10003096-1805068800-1805500799@www.math.harvard.edu
SUMMARY:Number Theory and Representation Theory: The Legacy of Benedict Gross\, and Beyond
DESCRIPTION:Dick Gross (June 22\, 1950 – December 19\, 2025) made groundbreaking contributions in domains such as number theory and representation theory\, and spent nearly five decades at Harvard as a student\, math professor\, and academic leader. This conference is a remembrance of his life with lectures related to his work and recollections from colleagues\, family and friends. \nRead more about Dick Gross’ life and contributions here. \nRegister\n  \n\nSPEAKERS*\nJennifer Balakrishnan\, Boston University\nManjul Bhargava\, Princeton University\nJoe Buhler\, Reed College\nSamit Dasgupta\, Duke University\nNoam Elkies\, Harvard University\nJessica Fintzen\, Universität Bonn\, Germany\nWee Teck Gan\, National University of Singapore\, Singapore\nJoe Harris\, Harvard University\nMike Hopkins\, Harvard University\nBarry Mazur\, Harvard University\nCurtis McMullen\, Harvard University\nAaron Pollack\, UC San Diego\nDipendra Prasad\, Indian Institute of Technology Bombay\, India\nGordan Savin\, University of Utah\nNaomi Sweeting\, MIT\nMarie-France Vigneras\, Institut de Mathématiques de Jussieu Paris\, France\nNolan Wallach\, UC San Diego\nShou-Wu Zhang\, Princeton University\n\n*List of speakers subject to change. \nOrganizers: Henri Darmon (McGill)\, Kiran Kedlaya (UC San Diego)\, Cristian Popescu (UC San Diego)
URL:https://www.math.harvard.edu/event/benedict-gross-conference/
LOCATION:Harvard Science Center
CATEGORIES:CONFERENCES
ATTACH;FMTTYPE=image/webp:https://www.math.harvard.edu/wp-content/uploads/Benedict-Gross-photo.webp
END:VEVENT
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