The DARPA Model for Transformative Technologies: Perspectives on the U.S. Defense Advanced Research Projects Agency

Authors: William Boone Bonvillian, Richard Van Atta, Patrick Windham
Publication Date: January 9, 2020
Publisher: Open Book Publishers
Language: English
License: Attribution-NonCommercial-NoDerivs 4.0 International (Creative Commons BY-NC-ND)
Collection: Thoth Archiving Network
File Size: 236.8 MB
Pages: 510
ISBNs:
9781783747917, 9781783747924, 9781783747931, 9781800645967,
9781783747962, 9781783747948, 9781783747955

Topics:
JP, JPP, KCP, TBX, POL063000, TEC025000, TEC056000, U394.A75,
American and Latin American Studies, Economics, Politics and Sociology, History,
DARPA, DARPA Model, Transformative Technologies, U.S. Defense Advanced Research Projects Agency, U.S. Government

Description:
The U.S. Defense Advanced Research Projects Agency (DARPA) has played a remarkable role in creating new transformative technologies. From revolutionizing defense with drones and precision-guided munitions to transforming civilian life with portable GPS, voice-recognition software, self-driving cars, UAVs, and the ARPANET (predecessor to the Internet), DARPA’s impact is vast.

Other U.S. and foreign government agencies have attempted to replicate the ‘DARPA model’ in hopes of achieving similar technological breakthroughs. This book explores the keys to DARPA’s success: what internal structures, cultural factors, and operational strategies set it apart?

A comprehensive collection of leading academic research, this volume charts the Agency’s trajectory from its post-Sputnik inception to modern-day adaptations. It is essential reading for policy makers, researchers, and students interested in innovation, government R&D strategy, and technology-driven policy.

Metadata:

• Added to Archive: November 28, 2022 – 11:41:07

• Associated Names: William Boone Bonvillian, Patrick Windham

• Identifier: 945bedcd-435c-49f5-9fc6-c704f6da5a10

• Identifier (ARK): ark:/13960/s28khrf1rh6

• LCCN: 2019452963

• OpenLibrary Edition: OL31369741M

• OpenLibrary Work: OL23499200W

• Source: DOI Link

• OCR: Tesseract 5.2.0 (lang: English, script: Latin)

• PPI: 300

• Scanner: Internet Archive Python library 3.0.2