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MIT Press Open

Donate to the MIT Press to support open access publishing


The MIT Press has been a leader in open access book publishing for two decades, beginning in 1995 with the publication of William Mitchell's City of Bits, which appeared simultaneously in print and in a dynamic, open web edition. We support a variety of open access funding models for select books, including monographs, trade books, and textbooks.

The MIT Press journals division also has a long-standing commitment to open access and makes hundreds of articles free on its website


All MIT Press subscription journals support author-paid open access (the “hybrid” model). Including three Gold OA journals launching this year, the Press publishes several completely open access journals: Computational LinguisticsAsian Development ReviewOpen Mind: Discoveries in Cognitive ScienceComputational Psychiatry, and Network Neuroscience.

To view our OA book titles, please scroll through the following webpages or click here for a complete list.

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“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.”
—Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX

ECAL 2015 showcases a wide range of topics in Artificial Life, bringing together world-leading researchers to discuss the latest advances in Artificial Life, discussing the main conference themes of Embodiment, Interaction, Conversation.

Stanford and the Computer Music Revolution

In the 1960s, a team of Stanford musicians, engineers, computer scientists, and psychologists used computing in an entirely novel way: to produce and manipulate sound and create the sonic basis of new musical compositions. This group of interdisciplinary researchers at the nascent Center for Computer Research in Music and Acoustics (CCRMA, pronounced “karma”) helped to develop computer music as an academic field, invent the technologies that underlie it, and usher in the age of digital music.

We now know that there is much more to classical mechanics than previously suspected. Derivations of the equations of motion, the focus of traditional presentations of mechanics, are just the beginning. This innovative textbook, now in its second edition, concentrates on developing general methods for studying the behavior of classical systems, whether or not they have a symbolic solution. It focuses on the phenomenon of motion and makes extensive use of computer simulation in its explorations of the topic.

Mastering Complexity

In this book, Sanjoy Mahajan shows us that the way to master complexity is through insight rather than precision. Precision can overwhelm us with information, whereas insight connects seemingly disparate pieces of information into a simple picture. Unlike computers, humans depend on insight. Based on the author’s fifteen years of teaching at MIT, Cambridge University, and Olin College, The Art of Insight in Science and Engineering shows us how to build insight and find understanding, giving readers tools to help them solve any problem in science and engineering.

Category theory was invented in the 1940s to unify and synthesize different areas in mathematics, and it has proven remarkably successful in enabling powerful communication between disparate fields and subfields within mathematics. This book shows that category theory can be useful outside of mathematics as a rigorous, flexible, and coherent modeling language throughout the sciences.

Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems

ALIFE 14, the Fourteenth International Conference on the Synthesis and Simulation of Living Systems, presents the current state of the art of Artificial Life—the highly interdisciplinary research area on artificially constructed living systems, including mathematical, computational, robotic, and biochemical ones. The understanding and application of such generalized forms of life, or “life as it could be,” have been producing significant contributions to various fields of science and engineering.

A Pragmatic Introduction to the Coq Proof Assistant

The technology of mechanized program verification can play a supporting role in many kinds of research projects in computer science, and related tools for formal proof-checking are seeing increasing adoption in mathematics and engineering. This book provides an introduction to the Coq software for writing and checking mathematical proofs. It takes a practical engineering focus throughout, emphasizing techniques that will help users to build, understand, and maintain large Coq developments and minimize the cost of code change over time.

Foundations and Algorithms

Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical.

A Synthesis from the GoodPlay Project

Social networking, blogging, vlogging, gaming, instant messaging, downloading music and other content, uploading and sharing their own creative work: these activities made possible by the new digital media are rich with opportunities and risks for young people. This report, part of the GoodPlay Project, undertaken by researchers at Harvard Graduate School of Education's Project Zero, investigates the ethical fault lines of such digital pursuits. The authors argue that five key issues are at stake in the new media: identity, privacy, ownership and authorship, credibility, and participation.

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