Posts Tagged: science–policy interface

Data mining Science policy
Data mining: Organizational context matters
August 23, 2017
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The previous posts in this series on data mining to inform policy have covered our initial technical framework and two of its further developments. In this post, I present some of the project management lessons we learned over the course of the data mining project, which are largely drawn from the two less successful case […]
Data mining Science policy
Data mining: The value of a scoping phase
August 16, 2017
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In previous posts in our data mining series, we laid out our initial technical framework for guiding data mining projects, then supplemented that with plug-ins to facilitate its use for R&I policy research specifically. These plug-ins helped to overcome the challenge of applying a generic framework to a specific thematic area. However, there was another […]
Data mining Science policy
Data mining: Technical framework plug-ins for the R&I context
August 9, 2017
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In my previous post, I outlined the initial technical framework developed by Science-Metrix in the course of the data mining project for the European Commission documented in this blog series. This initial data mining framework—strongly inspired by existing frameworks—provided a solid foundation on which to build. However, to support data mining in a policy context […]
Data mining Science policy
Data mining: The root of a technical framework
August 2, 2017
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Continuing on in our series of posts on data mining for policymaking, this post presents the initial technical framework developed by Science-Metrix to guide the conduct of data mining projects in a government context (with some shout-outs to other contexts as well). This seven-step framework formed the basis of our case studies, and effectively lays […]
Data mining Science policy
Data mining for policymaking
July 26, 2017
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Throughout 2015 and 2016, we at Science-Metrix worked on a project for the European Commission that focused on data mining and big data analytics in the context of policymaking, specifically research & innovation policy. While carrying out this work, we learned some fascinating and valuable things, and so rather than leave all that knowledge locked […]
Higher education Science policy
Policy: whose problem is it anyway?
March 14, 2017
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In January, Sir Peter Gluckman—Chief Science Advisor to the PM of New Zealand, and global point man for science advice to government—gave the inaugural address at the Canadian Science Policy Centre lecture series. The discussion covered a lot of important points of difficulty for science and governance—and science in governance—that are emerging in the 21st […]
Higher education Science policy
Committee Outsiders: a quick win
March 7, 2017
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In a previous post on the need to “operationalize” policy questions into a format suitable for empirical research, I ended with a call to action for the community of academic historians and philosophers of science to come down from our ivory towers, roll up our sleeves, and apply our skills to mediate negotiations taking place […]
Science policy
Capturing imaginations, not wallets and podiums
February 28, 2017
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The notion of capture—when one group in a partnership is allowed “home-field advantage”—is helpful in understanding some hurdles to successful collaboration across disciplinary and sectoral boundaries. Last week, I outlined how sectoral capture undermines the very notion of transdisciplinary research. In this week’s installment of the capture series, I’ll talk about how sectoral capture is […]
Higher education Science policy
Transdisciplinary research: a recipe for sectoral capture
February 21, 2017
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Now that I’ve put pen to paper and presented the notion of sectoral capture, I can finally put it to use! In this post, I’ll be exploring how sectoral capture is not only a huge risk in transdisciplinary research, but is actually embedded in the very definition of transdisciplinary research itself, calling for us to […]
Higher education Science policy
Flagging problems of capture
February 14, 2017
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The notion of disciplinary capture is a very useful conceptual tool, introduced in slightly different contexts: Brister (2016) in relation to the dynamics within interdisciplinary teams, and Frodeman, Briggle & Holbrook (2012) as well as Briggle and Frodeman (2016) in relation to the way that departmental and other academic structures influence the direction of philosophical […]