Abstract
Public policies need research results in order to effectively address the complex socioeconomic challenges (so-called evidence-based policies). However there is a clear gap between producing scientific expertise and using it in public decision-making. This “know-do” gap is common in all policy areas. Knowledge brokering is a new and promising practice for tackling the challenge of evidence use. It means that selected civil servants play the role of intermediaries who steer the flow of knowledge between its producers (experts and researchers) and users (decision-makers and public managers). Knowledge brokering requires a specific combination of skills that can be learned effectively only by experience. However this is very challenging in the public sector. Experiential learning requires learning from own actions – often own mistakes, while public institutions tend to avoid risk and are naturally concerned with the costs of potential errors. Therefore, a special approach is required to teach civil servants.
This chapter addresses the question of how to develop knowledge brokering skills for civil servants working in analytical units. It reports on the application of a simulation game to teach civil servants through experiential learning in a risk-free environment. The chapter (1) introduces the concept of knowledge brokering, (2) shows how it was translated into a game design and applied in the teaching process of civil servants, and (3) reflects on further improvement. It concludes that serious game simulation is a promising tool for teaching knowledge brokering to public policy practitioners.
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References
Adams, E., & Dormans, J. (2012). Game mechanics: Advanced game design. Berkeley: New Riders.
Banks, G. (2009, February 4). Evidence-based policy-making: What is it? How do we get it? Proceedings from ANZSOG/ANU Public Lecture Series, Canberra.
Barrados, M., & Mayne, J. (2003). Can public sector organisations learn? OECD Journal on Budgeting, 3(3), 87–103.
Bots, P., Wagenaar, P., & Willemse, R. (2010). Assimilation of public policy concepts through role-play: Distinguishing rational design and political negotiation. Simulation & Gaming, 41(5), 743–766.
Caluwe, L., Geurts, J., & Kleinlugtenbelt, W. J. (2012). Gaming research in policy and organization: An assessment from the Netherlands. Simulation & Gaming, 43(5), 600–626.
Cartwright, N. (2013). Knowing what we are talking about: Why evidence doesn’t always travel. Evidence & Policy, 9(1), 97–112.
Cartwright, N., & Hardie, J. (2012). Evidence-based policy: A practical guide to doing it better. Oxford: Oxford University Press.
Clark, G., & Kelly, L. (2005) New directions for knowledge transfer and knowledge brokerage in Scotland: Office of Chief Researcher Knowledge Transfer Team briefing paper. Scottish Executive Social Research. Scottish Executive Social Research.
Crookall, D. (2010). Serious games, debriefing, and simulation/gaming as a discipline. Simulation & Gaming, 41(6), 898–920.
Dobbins, M., Robeson, P., Ciliska, D., Hanna, S., Cameron, R., O’Mara, L., DeCorby, K., & Mercer, S. (2009). A description of a knowledge broker role implemented as part of a randomized controlled trial evaluating three knowledge translation strategies. Implementation Science, 4, 23.
Felicia, P. (2011). Handbook of research on improving learning and motivation through educational games: Multidisciplinary approaches. Hershey: IGI Global.
Fischer, F. (2003). Reframing public policy: Discursive politics and deliberative practices. New York: Oxford University Press.
Gutierrez, R. (2010). When experts do politics: Introducing water policy reform in Brazil. Governance, 23(1), 59–88.
Hood, C. (2007). What happens when transparency meets blame-avoidance? Public Management Review, 9(2), 191–210.
Kato, F. (2010). How we think and talk about facilitation. Simulation & Gaming, 41(5), 694–704.
Kriz, W. C. (2010). A systemic-constructivist approach to the facilitation and debriefing of simulations and games. Simulation & Gaming, 41(5), 663–680.
Lin, Y.-H. (2012). Knowledge brokering for transference to the pilot’s safety behavior. Management Decision, 50(7), 1326–1338.
Lomas, J. (2007). The in-between world of knowledge brokering. BMJ, 2007(334), 129–132.
Majone, G. (1992). Evidence, argument, and persuasion in the policy process. New Haven: Yale University Press.
Mavoa, H., Waqa, G., Moodie, M., Kremer, P., McCabe, M., Snowdon, W., & Swinburn, B. (2012). Knowledge exchange in the Pacific: The TROPIC (Translational Research into Obesity Prevention Policies for Communities) project. BMC Public Health, 12(552), 1–9.
McAneney, H., McCann, J. F., Prior, L., Wilde, J., & Kee, F. (2010). Translating evidence into practice: A shared priority in public health? Social Science and Medicine, 70, 1492–1500.
Nutley, S. M., Walter, I., & Davies, H. T. O. (2007). Using evidence: How research can inform public services. Bristol: Policy Press.
Olejniczak, K., Raimondo, E. & Kupiec, T. (2016). “Evaluation units as knowledge brokers: Testing and calibrating an innovative framework”. Evaluation, 22(2), 168–189.
Oliver, K., Innvar, S., Lorenc, T., Woodman, J., & Thomas, J. (2014). A systematic review of barriers to and facilitators of the use of evidence by policymakers. BMC Health Services Research, 14, 2.
Pavlas, D. (2010). A model of flow and play in game-based learning: The impact of game characteristics, player traits, and player states (Fall 2010). A dissertation submitted for PhD in the Department of Psychology, University of Central Florida.
Penenberg, A. L. (2013). Play at work: How games inspire breakthrough thinking. New York: Penguin.
Sanderson, I. (2002). Evaluation, policy learning and evidence-based policy making. Public Administration, 80(1), 1–22.
Schell, J. (2014). The art of game design: A book of lenses (2nd ed.). London: A K Peters/CRC Press.
Shillabeer, A., Buss, T. F., & Rousseau, D. M. (Eds.). (2011). Evidence-based public management: Practices, issues, and prospects. Armonk: M. E. Sharpe.
Shulha, L. M., & Cousins, B. J. (1997). Evaluation use: Theory, research, and practice since 1986. Evaluation Practice, 18(3), 195–208.
Waqa, G., Mavoa, H., Snowdon, W., Moodie, M., Nadakuitavuki, R., Mc Cabe, M., & Swinburn, B. (2013). Participants’ perceptions of a knowledge-brokering strategy to facilitate evidence-informed policy-making in Fiji. BMC Public Health, 13, 725.
Washmi, R., Baines, M., Organ, S., Hopkins, G., Blanchefield, P., & Busch, C. (2014). “Mathematics “problem solving through collaboration: Game design and adventure” In C. Busch (Ed.), 8th European Conference on Games Based Learning: ECGBL2014, Berlin.
Weiss, C. H., & Bucuvalas, M. J. (1980). Social science research and decision-making. New York: Columbia University Press.
Willems, M., Post, M., van der Weijden, T., & Visser-Meily, A. (2013). Do knowledge brokers facilitate implementation of the stroke guideline in clinical practice? BMC Health Services Research, 13(434), 1–17.
Acknowledgments
The simulation game is the result of the joint undertaking of two Polish companies: Evaluation for Government Organizations (EGO s.c.) and Pracownia Gier Szkoleniowych (PGS). The authors would like to express their gratitude to their colleagues involved in the design and testing of the game: Łukasz Kozak (PGS), Jakub Wiśniewski (PGS), Jan Witkowski (PGS), Joanna Średnicka (PGS), Bartosz Ledzion (EGO s.c.), and Jagoda Gandziarowska-Ziołecka (PGS).
The development of this game was a 2-year process. The authors would like to thank all those involved at different stages of the undertaking: Estelle Raimondo (George Washington University) who coauthored the empirical research on knowledge brokering; the group of participants from ISAGA Summer School, Delft, 2014, who contributed to the initial design of the game – Stephan van Ijperen, Wouter van der Horst, Marijn Knulst, Stefania Munaretto, and Nicole Plasschaert; and a number of Polish civil servants who participated in the testing of the game and provided us with valuable feedback. Last but not least, the authors would like to thank two anonymous reviewers on ISAGA 2015 Kyoto Conference for their valuable comments on the content of this chapter.
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Olejniczak, K., Kupiec, T., Widawski, I. (2016). Knowledge Brokers in Action: A Game-Based Approach for Strengthening Evidence-Based Policies. In: Kaneda, T., Kanegae, H., Toyoda, Y., Rizzi, P. (eds) Simulation and Gaming in the Network Society. Translational Systems Sciences, vol 9. Springer, Singapore. https://doi.org/10.1007/978-981-10-0575-6_29
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DOI: https://doi.org/10.1007/978-981-10-0575-6_29
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