Posts Tagged: science–policy interface

Science policy
Canadian Science: mandate update from Minister Duncan
November 29, 2017
0
, , ,
Kirsty Duncan (Canadian federal Minister of Science) gave a keynote address at the 9th annual Canadian Science Policy Conference in early November, during which she outlined the main priorities of her role and what she’s accomplished since being named two years ago. In our ongoing coverage of the keynote speeches from CSPC, this post will summarize her talk and highlight some critical questions.
Science policy
The new face of the science–policy interface
November 21, 2017
2
, , , ,
The new Chief Science Advisor position is the top job at the science–policy interface in Canada. While attending the 9th Canadian Science Policy Conference in Ottawa earlier this month, the other conference-goers and I were lucky to get a glimpse of how Dr. Mona Nemer—newly named to the job—understands evidence-based decision-making. In this week’s post, I’ll give a summary of her remarks at the CSPC and distill the main views on evidence-based decision-making that they seem to reflect.
Science policy
Is non-science non-sense?
November 15, 2017
2
, , , ,
At the beginning of November, I attended the Canadian Science Policy Conference, where one of the headline guest speakers was the new Governor General: former astronaut and currently Right Honourable Julie Payette. The Canadian science and science policy communities had an expectedly positive response to the appointment of such a scientifically minded person to this emblematic role. Her Excellency’s speech really played to the home-town crowd, too, emphasizing that science is increasingly embraced in policymaking here in Canada, and calling for science to now be increasingly embraced in society at large as well, even to the point that science would become a matter of cocktail conversation. There was a lot of controversy, though, about how Payette described the beliefs of those who have not yet been converted to our brand of discipleship, those beliefs that do not pass scientific muster. In today’s post, I’ll point out what I see as an underlying tension in her position and what a resolution might require.
Bibliometrics Science policy
The death of indicators
November 1, 2017
0
, , , , ,
In last week’s post, I presented some of the major points of Rémi Barré’s keynote speech at STI 2017. In brief, he divides the evolution of S&T indicators into three phases. The first phase is one of indicators promising to elucidate (and thereby improve) the inner workings of science. The second phase is one of them being co-opted into the neoliberal turn, exposing scientific research to competitive pressures that Dr. Barré identifies as pushing science into multiple crises. The third phase is a casting off of the complicity with neoliberalism, using indicators to start opening up discussions about science & technology rather than shutting them down. In this post I’ll expand on this third phase.
Bibliometrics Science policy
Indicating a neoliberal tendency
October 25, 2017
2
, , , , , ,
Continuing on from my previous discussion of impact, the second keynote speech at the 2017 Science & Technology Indicators (STI) conference in Paris was given by Rémi Barré of IFRIS, who echoed many of the points raised by Ismael Rafols. Barré’s call to action—riffing on a very traditional theme—was, “Les indicateurs sont morts! Vive les indicateurs!” Indicators are dead! Long live indicators! The call was provocative, and his talk highlighted some interesting ways in which the struggles we face in research & innovation management are symptoms of a broad and powerful trend in the political sphere: neoliberalism.
Data mining Science policy
Data access: Vast possibilities and inequities
September 27, 2017
0
, , , , , ,
In our ongoing series on data mining to inform policy, we are giving the topic of data access its own post because of the implications it had for the success or failure of our case studies. The simple reality is that you can’t mine data that don’t exist (or that may as well not exist when they are functionally or realistically impossible to access). As a result, access is particularly important since it underpins the rest of the work in a data mining project. Let’s tease this topic out a little, shall we?
Data mining Open access Science policy
Data mining: Open access policies and outcomes
September 20, 2017
0
, , , , ,
During our data mining project for the European Commission, one of the case studies we undertook to test our framework to guide data mining for policy research explored open access (OA) publications in the European context. Specifically, the question we aimed to tackle was whether institutional OA policies have an effect on the share of an institution’s papers available in OA, and if so, to what degree. An answer to this question would provide actionable advice for institutions that are looking to increase the availability of their research. Here’s what we found.
Data mining Science policy
Data mining: Exploring the connection between innovation, growth and prosperity
September 13, 2017
0
, , , , , ,
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
0
, , , , , , ,
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: Organizational context matters
August 23, 2017
0
, , , , ,
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 […]