Author archive: Brooke Struck

Data mining Science policy
Data mining: Exploring the connection between innovation, growth and prosperity
September 13, 2017
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In the most recent post in our ongoing data mining blog series, we explored the effect on innovation of research collaboration across disciplinary and sectoral boundaries. That topic was worth exploring because beliefs that such collaborations are effective levers to promote innovation are foundational to many policy choices, and there is scant evidence available to determine whether these levers work or not (and how powerful they are). The present post will take that line of exploration one step further: we usually promote innovation as a way to drive social and/or economic prosperity, creating “jobs and growth,” often with some qualification about these developments being “inclusive,” “smart,” or “sustainable,” or helping out “the middle class.” Such approaches have been particularly emphasized since the Financial Crisis a decade ago. The purpose of this blog post—and the case study on which it is based—is to explore the relationship between innovation and growth, especially for small and fast-growing firms.
Data mining Science policy
Data mining: Cross-boundary collaboration and innovation
September 6, 2017
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In our data mining project for the European Commission, two of the six case studies treated levers for promoting innovation, and we’ll start to tease those apart here. In brief, collaboration across disciplinary and sectoral boundaries is believed to promote innovation, while innovation in turn is believed to support broader economic and social prosperity. Even […]
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 […]