Atlas of Forecasts: Modeling and Mapping Desirable Futures

(Author)
Backorder (temporarily out of stock)
Product Details
Price
$39.95  $37.15
Publisher
MIT Press
Publish Date
Pages
228
Dimensions
13.3 X 11.2 X 1.1 inches | 4.6 pounds
Language
English
Type
Hardcover
EAN/UPC
9780262045957

Earn by promoting books

Earn money by sharing your favorite books through our Affiliate program.

Become an affiliate
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.
Reviews
2022 PROSE Award Winner, Engineering & Technology


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

delivers peer-reviewed and edited articles, tutorials, and case studies that provide unmatched professional development for forecasters.

"Atlas of Forecasts is a sumptuous work that will give modelers and forecasters the perspectives and intellectual repower to deal with the challenges of uncertain futures."
--Foresight

"Börner, a professor of information and library sciences and a noted expert on information visualization and bibliometrics, admirably accomplishes the enormous task of distilling the breadth and depth of computational modeling. The text provides an overview of modeling methods followed by examples of modeling as applied in science, technology, and policy studies at micro and macro scales. A richly illustrated set of "science maps" from various disciplines forms the bulk of this atlas. As a highly informational resource on applications of modeling methods, the volume is best suited for academic collections with broad focus on computing, library and information science, and the computational social sciences."
-CHOICE