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18 May 2013
The challenges of Research Uptake Part II: Systemic barriers Print
Thursday, 22 November 2012 00:00

This is the second in a four-part blog on the challenges faced by practitioners of Research Uptake. In Part I we explored the concept of Research Uptake and how the term had developed over the years. In this second part, we take a closer look at challenges that present themselves at systemic level in the field.

 



At a systemic level, the barriers to research uptake are numerous—and have been well articulated by others. In particular, the RAPID programme at ODI notes six lessons for getting research into use. They highlight different time horizons and different notions of evidence between the research and policy spheres. A researcher needs as long as research takes and findings are often wrapped in a variety of qualifications and caveats, but policymakers often need clear findings at key points during the policymaking process. As a former policymaker turned researcher from Brazil so wonderfully put it: “In Brazil we don’t talk about pilots. I can’t go to an official and say ‘give me two years and I’ll give you the answer’. Why? Because we have elections. If a policymaker waited two years to take action he’d be shot.”

We also know that the research-policy-practice interface is a complex and dynamic one. Not only do those trying to get research into policy need to have some knowledge about where in a particular policy cycle the research topic is, they must also understand who is working to influence that process, what their drivers are and how they’re doing it. And unfortunately, one of the corollary barriers is that change doesn’t happen the same way twice, which means a lot of experimentation, expertise and critical thinking are required to link research, policy and practice. This latter point also helps explain why research uptake is focusing so heavily on strengthening the demand-side—if a policymaker is requesting research findings, half the battle is already fought.

This brings in another systemic barrier—research funders distort demand. While research funders aren’t necessarily the end users of research, they are the ones that set the priorities through what they are willing to fund. Often some sort of demonstration that there is a gap in existing knowledge and some demand for the research results is part of the grading criteria when selecting proposals, but the distortionary effect of the donor cannot be overlooked.

There are also perverse incentives on both the supply and demand side that act as a significant barrier to research uptake. On the research side, promotion is most often dependent on publishing as many papers as possible in peer-reviewed journals with high impact factors, not in communicating that research. There are also time pressures—a student knocking on the office door is more likely to capture a researcher’s attention than a distant policymaker in a capital city far away. And funding is a chronic problem—with researchers perpetually chasing the next grant, who has time to do “extra” work communicating research findings? On the policy side, incentives tend to focus on maintaining political legitimacy. That might include carrying through on promises made during electoral processes, adhering to a particular ideological standpoint (and let’s be clear, evidence-informed policy is a clear ideological position too), or just not looking idiotic in the public eye.

Finally, at a systemic level, research uptake requires a diverse skills set to deliver. In addition to strong research skills, Simon Maxwell likes to argue that policy entrepreneurs require four key skills: story telling, policy engineering, networking and political fixing. But these skills are underpinned by a huge area of oft-overlooked technical skills, including:
 

  • Editing and language skills
  • Digital engagement skills
  • Graphic design and desktop publishing
  • Media planning and engagement
  • Event planning and management
  • Database management
  • Data analysis
  • Information literacy
  • Knowledge management
  • Budgeting and programme management
  • Marketing and public relations
  • IT skills

 

Jeff Knezovich is the Policy Influence and Research Uptake Manager for the Future Health Systems Research Consortium based at the Institute of Development Studies in the UK.

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Comments


Hans Gutbrod said on 2012-11-24 00:13:32:
I think this is an excellent point, that successful performance requires many smaller activities/skills. Nicolas Ducote has put this very well, that the ability to integrate is key, to have policy impact and make research (and think tanks) succeed. That is true for almost all management, but not always sufficiently appreciated. Nicolas` great talk is here: http://bit.ly/T7XaUj
Jeff Knezovich said on 2012-11-27 18:45:14:
Hans, thanks for sharing Nicolas`s video. And thank you for highlighting the importance of these `smaller` skills and activities. As I said, they are often overlooked, especially in capacity building activities oriented towards research uptake. I think it also raises a question of sequencing, and where to embed those skills within an organisation (keep a lookout for the next in the series where I talk about the organisational barriers!).
David Phipps said on 2012-11-28 23:02:28:
This post reminds us all to remember the complexity of the systems in which we work. Although we all acknowledge the complexity we nonetheless simetimes try to squeeze the process into linear logic models of inputs-activities-outputs-outcomes-impacts but this post reminds us that complexity underscores out work. I posted a journal club about the concepts of Innovation Brokers, a term coined to reflect our work in a complex environment. See https://researchimpact.othree.ca/forums/journalclub/innovation-brokers The systemic barriers discussed are present in complex systems of innovation. I look forward to future posts in this series that point towards ways to help address these barriers.