How organizations can use practices developed by expert designers to solve today's open, complex, dynamic, and networked problems. When organizations apply old methods of problem-solving to new kinds of problems, they may accomplish only temporary fixes or some ineffectual tinkering around the edges. Today's problems are a new breed-open, complex, dynamic, and networked-and require a radically different response. In this book, Kees Dorst describes a new, innovation-centered approach to proble...

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.

A substantially updated new edition of the essential text on financial modeling, with revised material, new data, and implementations shown in Excel, R, and Python.

Financial Modeling has become the gold-standard text in its field, an essential guide for students, researchers, and practitioners that provides the computational tools needed for modeling finance fundamentals. This fifth edition has been substantially updated but maintains the straightforward, hands-on approach, with an optimal m...

A completely revised edition, offering new design recipes for interactive programs and support for images as plain values, testing, event-driven programming, and even distributed programming. This introduction to programming places computer science at the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines that show the reader how to analyze a problem statement, how to formulate concise goals, how to...

Interdisciplinary perspectives on the capacity to perceive, appreciate, and make music. Research shows that all humans have a predisposition for music, just as they do for language. All of us can perceive and enjoy music, even if we can't carry a tune and consider ourselves unmusical. This volume offers interdisciplinary perspectives on the capacity to perceive, appreciate, and make music. Scholars from biology, musicology, neurology, genetics, computer science, anthropology, psychology, and ...

A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.

A novel, integrative approach to cities as complex adaptive systems, applicable to issues ranging from innovation to economic prosperity to settlement patterns.

Human beings around the world increasingly live in urban environments. In Introduction to Urban Science, Luis Bettencourt takes a novel, integrative approach to understanding cities as complex adaptive systems, claiming that they require us to frame the field of urban science in a way that goes beyond existing theory in such tradition...

A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance.

This volume in the MIT ...

A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples.

A new examination of mass digitization as an emerging sociopolitical and sociotechnical phenomenon that alters the politics of cultural memory.

Today, all of us with internet connections can access millions of digitized cultural artifacts from the comfort of our desks. Institutions and individuals add thousands of new cultural works to the digital sphere every day, creating new central nexuses of knowledge. How does this affect us politically and culturally? In this book, Nanna Bonde Thylstru...