The Citizen Scientist in the ePolicy Cycle

Johann Höchtl (), Judith Schossböck, Thomas J. Lampoltshammer () and Peter Parycek
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Johann Höchtl: Danube University Krems, Dr.-Karl-Dorrek-Str. 30
Judith Schossböck: Danube University Krems, Dr.-Karl-Dorrek-Str. 30
Thomas J. Lampoltshammer: Danube University Krems, Dr.-Karl-Dorrek-Str. 30
Peter Parycek: Danube University Krems, Dr.-Karl-Dorrek-Str. 30

A chapter in Government 3.0 – Next Generation Government Technology Infrastructure and Services, 2017, pp 37-61 from Springer

Abstract: Abstract This chapter discusses a participation and technology enabled model of the citizen scientist in relation to the policy cycle. With interconnected personal devices collecting a plethora of various data, citizens are capable to serendipitously contribute to crowded knowledge generation. In the governance domain, the trend towards more data-driven models of governance and decision-making has been considerable. Big data contains the methodologies to cope with the wealth of data generated by the citizen scientist and in turn provides the tools and technologies to draw actionable insights from this data, f.i. with predictive technologies that could optimise resources across government sectors. After discussing the changing role of science and the technological and participative enablers and methods of engagement relevant for citizen participation, this contribution discusses the role of the citizen scientist and his or her involvement in the big data enabled governance loop by defining three use cases within the policy cycle. Furthermore, it addresses the challenges that can arise in this context.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:paitcp:978-3-319-63743-3_3

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DOI: 10.1007/978-3-319-63743-3_3

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