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Selected Readings on Policy Informatics

December 07, 2016 by Erik Johnston

 

Policy informatics is the transdisciplinary study and application of how computation and communication technology leverages information to better understand and address complex public policy and administration problems and realize innovations in governance processes and institutions. Rapid advancements in information, computation, and communication technology continue to proliferate society and become increasingly embedded in our everyday activities, transforming how we learn, communicate, coordinate, organize, produce, consume, and govern. As the world becomes increasingly complex, interconnected, dynamic, and resource-constrained, so do the public issues with which we must grapple. In an information-intensive governance environment, advancements in information, computation, and communication technology afford us the possibility to better tackle complex public issues in new and innovative ways that tap into and reflect the reality of this world. In particular, this involves liberating data, cultivating the bottom-up generation of data and ideas, modeling and simulating system dynamics of coupled human-environmental interactions, as well as engaging, educating, and empowering public officials, future researchers, and the public-at-large to interact with data and one another in a manner that collectively produces meaningful insights, solutions, and actions to address public issues.

The following reading materials are useful for scholars and practitioners to understand policy informatics theoretically and practically and to apply it in diverse social and policy contexts. Most of the readings were selected because in addition to a theoretical contribution, they regularly are situated in useful applications across many contexts including health, education, and the environment. The readings range from motivating the urgency behind a formal study of policy informatics, to highlighting advances in analytics including simulation and computational analytics, to design recommendations of the open organizational implications of a increasingly connected public through crowdsourcing, participatory platforms, and citizen science, to emerging ethical considerations including the digitally invisible and algorithmic biases.

Selected Readings

Simulation for Policy Inquiry

Anand Desai (Ed)

Category Data Governance
Objective Effectiveness
Type Book

The Responsive City: Engaging Communities Through Data-Smart Governance

Susan Crawford Stephen Goldsmith

Category Smart Cities
Objective
Type Book

Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business

Jeff Howe

Methodology Case Studies
Objective
Type Book

Governance Infrastructures in 2020

Erik Johnston

Category Data Governance
Methodology Conceptual Framework

Governance in the Information Era

Erik Johnston

Category Data Governance
Methodology Conceptual Framework
Objective Effectiveness
Type Book

Design Lessons for Smart Governance Infrastructures

Erik Johnston Derek Hansen

Category Data Governance
Methodology Conceptual Framework
Objective Effectiveness

How Regular People Can Help Shape Science

David Lang

Methodology Conceptual Framework

Informed and Interconnected: A Manifesto for Smarter Cities

Rosabeth Kanter

Category Smart Cities

Policy modeling to support administrative decisionmaking on the New York state HIV testing law.

Martin E. G. MacDonald R. H. Smith L. C. Gordon D. E. Tesoriero J. M. Laufer F. N. O’Connell D. A

Category Big Data Open Data

The Entrepreneurial State

Mariana Mazzucato

Type Book

Smart Citizens, Smarter State

Beth Simone Noveck

Type Book

The Black Box Society

Frank Pasquale

Category Big Data Open Data
Methodology Conceptual Framework
Objective Privacy Transparency
Type Book

Cognitive Surplus: How Technology Makes Consumers into Collaborators

Clay Shirky

Type

Designing Successful Participatory Platforms with a Public Intent: Lessons Learned from Practitioners, Scholars, and Citizen Participants.

Chase Treisman Tanya M. Kelley Erik W. Johnston

Methodology Conceptual Framework