Anticipatory government

Preempting problems through predictive analytics

Costi Perricos

United Kingdom

Vishal Kapur

United States

BY

Costi Perricos

United Kingdom

Vishal Kapur

United States

Endnotes

    1. David Osborne and Ted Gaebler, Reinventing Government: How the Entrepreneurial Spirit is Transforming the Public Sector (New York: Addison-Wesley, 1992). View in article

    2. Marcus Weisgerber, “The US Air Force is adding algorithms to predict when planes will break,” Defense One, May 15, 2018. View in article

    3. Kevin Ebi, “How Durham, N.C. fights crime with data—and wins,” Smart Cities Council, September 17, 2014. View in article

    4. Stuart Wolpert, “Predictive policing substantially reduces crime in Los Angeles during months-long test,” UCLA Newsroom, October 7, 2015. View in article

    5. Ibid. View in article

    6. Brian Clifton, Sam Lavigne, and Francis Tseng, “Predicting financial crime: Augmenting the predictive policing arsenal,” New Inquiry, accessed May 7, 2019. View in article

    7. Thorn, “Survivor insights: The role of technology in domestic minor sex trafficking,” January 2018. View in article

    8. Kristin Quinn, “Modern slavery: Cognitive computing and geospatial technology help law enforcement track, locate, and rescue human trafficking victims,” Trajectory, November 1, 2016. View in article

    9. Jamie McGee, “Tennessee company’s tool has rescued 6K trafficking victims,” AP News, July 8, 2017, View in article

    10. Katherine Noyes, “Food poisoning in Las Vegas? Not if this machine-learning algorithm can help it,” CIO, March 8, 2016. View in article

    11. Medha Basu, “Jakarta’s plans for predictive government,” GovInsider, May 12 2016. View in article

    12. Tomas Holderness and Etienne Turpin, “How tweeting about floods became a civic duty in Jakarta,” Guardian, January 25, 2016. View in article

    13. The National Center on Homelessness among Veterans, Research annual report FY 2017, accessed May 7, 2019; Jack Tsai, “Homeless veterans,” US Department of Veteran Affairs, accessed May 7, 2019. View in article

    14. Deborah Golden and Ted Johnson, AI-augmented cybersecurity: How cognitive technologies can address the cyber workforce shortage, Deloitte University Press, June 8, 2017. View in article

    15. Cylance, “Cylance announces strategic partnership with In-Q-Tel,” press release, accessed May 7, 2019; also see In-Q-Tel, “Cylance,” accessed May 7, 2019. View in article

    16. Tiffany Dovey Fishman, William D. Eggers, and Pankaj Kishnani AI-augmented human services, Deloitte Insights, October 18, 2017. View in article

    17. John Stevenson, “EU-funded project uses artificial intelligence to tackle terrorist cyber-propaganda,” University of London, July 11, 2017. View in article

    18. Behavioral Insights Team, The Behavioral Insights Team: Update report 2016–2017, accessed May 7, 2019. View in article

    19. Jane M. Wiseman, Data-driven government: The role of chief data officers, IBM Center for Business of Government, 2018. View in article

    20. Ash Center for Democratic Governance and Innovation, “Data-smart city solutions," accessed May 7, 2019. View in article

    21. Jacqueline LaPointe, “Big data tool saves CMS $1.5B by preventing Medicare fraud,” Revcycle Intelligence, June 1, 2016. View in article

    22. Gartner, “Gartner survey finds government CIOs to focus technology investments on data analytics and cybersecurity in 2019,” press release, January 23, 2019. View in article

    View in Article

Acknowledgement

The authors would like to thank Neha Malik and Pankaj Kishnani from the Deloitte Center for Government Insights for driving the research and development of this trend.

The authors would also like to thank Diwya Shukla Kumar, Akash Keyal, and Thirumalai Kannan D. for their research contributions. Also, Katie Kent and John O’Leary for reviews at critical junctures and contributing their ideas and insights to this trend.

Cover artist: Traci Daberko