JMM 2024

The MIT Press @ JMM 2024

Welcome to our landing page for JMM 2024. Browse our latest books and order the MIT Press titles below for 30% off using discount code MITPCONF when you order through the MIT Press bookstore. Offer valid online at and at MIT Press Bookstore, 314 Main Street, Cambridge, MA 02142 through January 31st, 2024. Coupon does not apply to shipping, journals, or any other products or services and does not combine with other discounts or promotions. The coupon may not be redeemed for cash or store credit. Discount applies for US customers only. For assistance, email
For textbook desk/exam copies, click the book jacket and then follow the steps.

Logic Primer

Colin Allen, Michael Hand

February 15, 2022

Machine Learning

Ethem Alpaydın

August 17, 2021

The Polyhedrists

Noam Andrews

May 3, 2022

Beautiful Symmetry

Alex Berke, Alex Bellos

February 18, 2020


Tai-Danae Bradley, Tyler Bryson, John Terilla

August 18, 2020

Everyday Chaos

Brian Clegg

October 6, 2020

Sleight of Mind

Matt Cook

August 3, 2021

The Phantom Scientist

Robin Cousin, Edward Gauvin

February 21, 2023

The Price of Cake

Clément Deslandes, Guillaume Deslandes, Lorenzo Croissant, Cédric Villani

February 28, 2023

Mage Merlin's Unsolved Mathematical Mysteries

Satyan Linus Devadoss, Matthew Harvey

August 24, 2021

Mathematical Tools for Real-World Applications

Alexandr Draganov

August 2, 2022

Lectures on the Philosophy of Mathematics

Joel David Hamkins

March 9, 2021

Proof and the Art of Mathematics

Joel David Hamkins

February 23, 2021

Proof and the Art of Mathematics

Joel David Hamkins

September 29, 2020

Mathematics for Economics

Michael Hoy, John Livernois, Chris McKenna, Ray Rees, Thanasis Stengos

March 29, 2022

Causal Analysis

Martin Huber

August 1, 2023

People Count

Susan Landau

April 6, 2021

The Prime Number Conspiracy

Thomas Lin, James Gleick

November 20, 2018

The Meaning of Proofs

Gabriele Lolli, Bonnie McClellan-Broussard, Matilde Marcolli

September 27, 2022

Bayesian Models of Perception and Action

Wei Ji Ma, Konrad Paul Kording, Daniel Goldreich

August 8, 2023

The Math You Need

Thomas Mack

October 31, 2023

Lumen Naturae

Matilde Marcolli

June 16, 2020

The Raven's Hat

Jonas Peters, Nicolai Meinshausen

February 2, 2021

Mathematics for Ladies

Jessy Randall, Pippa Goldschmidt

September 13, 2022

Logical Methods

Greg Restall, Shawn Standefer

January 3, 2023

Causal Inference

Paul R. Rosenbaum

April 4, 2023

Sheaf Theory through Examples

Daniel Rosiak

October 25, 2022

Regression Modeling for Linguistic Data

Morgan Sonderegger

June 6, 2023

Shapes of Imagination

George Stiny

November 15, 2022

Leibniz on Binary

Lloyd Strickland, Harry R. Lewis

November 15, 2022

The Beauty of Numbers in Nature

Ian Stewart

September 8, 2017

Harvard Data Science Review

As an open access platform of the Harvard Data Science Initiative, Harvard Data Science Review (HDSR) features foundational thinking, research milestones, educational innovations, and major applications, with a primary emphasis on reproducibility, replicability, and readability. We aim to publish content that help define and shape data science as a scientifically rigorous and globally impactful multidisciplinary field based on the principled and purposed production, processing, parsing, and analysis of data. By uniting the strengths of a premier research journal, a cutting-edge educational publication, and a popular magazine, HDSR provides a crossroads at which fundamental data science research and education intersect directly with societally-important applications from industry, governments, NGOs, and others. By disseminating inspiring, informative, and intriguing articles and media materials, HDSR aspires to be a global forum on everything data science and data science for everyone.