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MIT Press Open

Donate to the MIT Press to support open access publishing

“Free” is still a rare practice in academic book publishing, and the MIT Press, with its strong public service orientation, is a leader in thinking about and experimenting with the commercial feasibility of various approaches to open access. - Eric von Hippel (T. Wilson (1953) Professor of Technological Innovation at the MIT Sloan School of Management) in his 2016 book Free Innovation.

 

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 mitpressjournals.org.

 

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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Paola Merlo, Editor-in-Chief 

Computational Linguistics is the longest-running publication devoted exclusively to the design and analysis of natural language processing systems. From this highly-regarded quarterly, university and industry linguists, computational linguists, artificial intelligence investigators, cognitive scientists, speech specialists, and philosophers get information about computational aspects of research on language, linguistics, and the psychology of language processing and performance. The journal is published by the MIT Press on behalf of the Association for Computational Linguistics (ACL). Computational Linguistics is Open Access.

Peter Dayan and Read Montague, Editors

Computational Psychiatry publishes original research articles and reviews that involve the application, analysis, or invention of theoretical, computational and statistical approaches to mental function and dysfunction. Topics include brain modeling over multiple scales and levels of analysis, and the use of these models to understand psychiatric dysfunction, its remediation, and the sustenance of healthy cognition through the lifespan. The journal also has a special interest in computational issues pertaining to related areas such as law and education.

Computational Psychiatry is an Open Access journal.

Olaf Sporns, Editor

Network Neuroscience features innovative scientific work that significantly advances our understanding of network organization and function in the brain across all scales, from molecules and neurons to circuits and systems. Positioned at the intersection of brain and network sciences, the journal covers empirical and computational studies that record, analyze or model relational data among elements of neurobiological systems, including neuronal signaling and information flow in circuits, patterns of functional connectivity recorded with electrophysiological or imaging methodology, studies of anatomical connections among neurons and brain regions, and interactions among biomolecules or genes.

A Cyber-Physical Systems Approach

The most visible use of computers and software is processing information for human consumption. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seatbelts, airbag, and audio system in your car. They digitally encode your voice and construct a radio signal to send it from your cell phone to a base station. They command robots on a factory floor, power generation in a power plant, processes in a chemical plant, and traffic lights in a city.

“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.

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