Atlas of Forecasts: Modeling and Mapping Desirable Futures - Couverture rigide

Borner, Katy

Couverture rigide

ISBN 10 : 0262045958 ISBN 13 : 9780262045957

Editeur : The MIT Press, 2021

Synopsis

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.

A propos du livre

À propos de l?auteur

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.

Détails de l'édition

• Éditeur: The MIT Press
• Date d'édition: 2021
• Langue: anglais
• ISBN 10: 0262045958
• ISBN 13: 9780262045957
• Reliure: Relié
• Nombre de pages: 228
• Coordonnées du fabricant: non disponible