Atlas of Forecasts: Modeling and Mapping Desirable Futures (Hardcover)

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Forecasting the future with advanced data models and visualizations.

To envision and create the futures we want, society needs an appropriate understanding of the likely impact of alternative actions. Data models and visualizations offer a way to understand and intelligently manage complex, interlinked systems in science and technology, education, and policymaking. Atlas of Forecasts, from the creator of Atlas of Science and Atlas of Knowledge, shows how we can use data to predict, communicate, and ultimately attain desirable futures.

Using advanced data visualizations to introduce different types of computational models, Atlas of Forecasts demonstrates how models can inform effective decision-making in education, science, technology, and policymaking. The models and maps presented aim to help anyone understand key processes and outcomes of complex systems dynamics, including which human skills are needed in an artificial intelligence-empowered economy; what progress in science and technology is likely to be made; and how policymakers can future-proof regions or nations. This Atlas offers a driver's seat-perspective for a test-drive of the future.

About the Author

Katy Börner is Victor H. Yngve Distinguished Professor of Engineering and Information Science in the Departments of Intelligent Systems Engineering and Information Science at the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington, where she is also founding director of the Cyberinfrastructure for Network Science Center. She is the author of Atlas of Science: Visualizing What We Know and Atlas of Knowledge: Anyone Can Map (both published by the MIT Press). Since 2005, she has served as a curator of the international Places & Spaces: Mapping Science exhibit.

Praise For…

2022 PROSE Award Winner, Engineering & Technology

"[Börner's] sumptuous, detailed book tackles issues of error and bias head-on..."
—New Scientist

Product Details
ISBN: 9780262045957
ISBN-10: 0262045958
Publisher: The MIT Press
Publication Date: August 31st, 2021
Pages: 228
Language: English