Data for Public Policy

Meyer, Eric T.; Crowcroft, Jon; Engin, Zeynep; Alexander, Anne

doi:10.1002/poi3.147

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…Watts () has argued, along similar lines, that social science should be more solution oriented, trialing different approaches to problem solving in different settings as a means to maximize the possibilities for successful implementation of knowledge. A 2017 special issue of the journal Policy & Internet on “Data for Public Policy” was initiated at the inaugural 2015 “Data for Policy” conference held at the University of Cambridge (Meyer, Crowcroft, Engin, & Alexander , p. 4), which highlighted emerging efforts to use “data to inform public policy with actual examples of successes and lessons from failures.” Articles in this special issue address topics as diverse as local government service provision (Malomo & Sena, ), the use of microdata to model unemployment (Guerrero & López, ), using open data to understand how people in a community have the capacity to act on their own behalf (Piscopo, Siebes, & Hardman, ), and the problem of policy that misses people—such as the homeless—who are not generating data (what the authors call being “digitally invisible”; see Longo, Kuras, Smith, Hondula, & Johnston, ).…”

Section: Literature Review and Current Debatesmentioning

confidence: 99%

Big Data for Policymaking: Great Expectations, but with Limited Progress?

Poel¹,

Meyer²,

Schroeder³

2018

Policy & Internet

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While talk of “Big Data” is now prevalent in many sectors, there are still relatively few examples of Big Data being used to shape public policy. This article reports an international study of Big Data for policy initiatives to understand the role played by data‐driven approaches in the policy process. Drawing on evidence (including policy analysis and interviews with stakeholders) from 58 initiatives, we find that some policy areas, notably efforts to improve government transparency, are far more represented than others, such as use of social media data for policy evaluation. We also find Big Data used more often in the policy cycle for foresight and agenda setting, or interim evaluation and monitoring, rather than for policy implementation and ex post evaluation. Many different types of data are used in the policy process, with traditional sources such as government statistics still favored over new and emerging sources. We find that use of Big Data for public policy is therefore at an early stage, with expectations far outstripping the current reality.

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Section: Literature Review and Current Debatesmentioning

confidence: 99%

Big Data for Policymaking: Great Expectations, but with Limited Progress?

Poel¹,

Meyer²,

Schroeder³

2018

Policy & Internet

Self Cite

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“…Every era faces a unique set of challenges and dilemmas, but ours can credibly lay claim to some of the most complex and vexing that humankind may have ever confronted. From climate change to growing inequality to a rising tide of refugees: we face an intricate mesh of overlapping and interdependent difficulties, one that is pushing the limits of our existing policy and governance capabilities (Data for Policy, 2015; Meyer et al, 2017). What we require today are not so much (or not only) new solutions, but new ways for arriving at solutions (Susha et al, 2017).…”

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confidence: 99%

Data & Policy: A new venue to study and explore policy–data interaction

2019

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Every era faces a unique set of challenges and dilemmas, but ours can credibly lay claim to some of the most complex and vexing that humankind may have ever confronted. From climate change to growing inequality to a rising tide of refugees: we face an intricate mesh of overlapping and interdependent difficulties, one that is pushing the limits of our existing policy and governance capabilities (Data for Policy, 2015; Meyer et al., 2017). What we require today are not so much (or not only) new solutions, but new ways for arriving at solutions (Susha et al., 2017). We need a twenty-first century paradigm of governance and policy making. Data, it is increasingly clear, will be central to this paradigm (Pentland, 2013; Kirkpatrick, 2012). Along with ever increasing computer storage and analytics capabilities, massive amounts of data generated from citizens, devices, and sensors provide decision makers the opportunity to monitor and manage public infrastructure in real time and predict future patterns when used responsibly (Engin and Treleaven, 2019; Janssen and Helbig, 2018). Data have the potential to transform every part of the policy-making life cycle-agenda setting and needs identification; the search for solutions; prototyping and implementation of solutions; enforcement; and evaluation (Janssen and Helbig, 2018). These are all critical, interlinked steps in addressing our societal challenges, and each of these needs a radical rethink. The idea that data could be a key differentiator is, of course, not a new one. Its potential has been evident for some time now (Wang et al., 2018), especially in the business world (Henke et al., 2016), but also in the policy community, where efforts to harness the power of information have yielded positive results in areas as disparate as gender equality (Fatehkia et al., 2018), improving urban traffic flows (Zhao et al., 2018), and enhancing regulatory compliance (Heat Seek, n.d.; Credit Suisse, n.d.). Successful data initiatives have been deployed by governments around the world in both developing and developed countries (Verhulst and Young, 2017a). Such initiatives have led to a growing recognition that data are and should increasingly be part of any effective governance toolkit. Despite such encouraging results, it is true that the policy world has generally lagged behind business in its use of data and data methods (Hou et al., 2011). Policy-data interactions or governance initiatives that use data have been the exception rather than the norm, isolated prototypes and trials rather than an indication of real, systemic change. There are various reasons for the generally slow uptake of data in policymaking, and several factors will have to change if the situation is to improve. In particular, advocates of more data (and we include ourselves among this number) will need to overcome the following obstacles and limitations: • Despite the number of successful prototypes and small-scale initiatives, policy makers' understanding of data's potential and its value proposition generall...

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