Making the Invisible, Visible
A Study of the Relationship and Impact of Information Science on Scientific Consensus
Keywords:Consensus development, Collaborative Information-Seeking Behavior, Judgment, Recommendation, Negotiation
This poster analyzes consensus methods (e.g., CDP, Delphi, RAM, and NGT) by experts in scientific and technological contexts. Consensus methods provide opportunities for experts in different geographical locations and organizations to come together to deliberate and define their level of agreement on a complex topic (e.g., public health, environment, technology use). These experts are authoritative knowledge seekers with high H-Index scores and honorific society memberships. For these very reasons, their recommendations shift paradigms and influence policies. However, there are times when group deliberations lead to multiple and contradictory recommendations.
Three research questions were developed for this study: How do experts reach a consensus? What information-seeking behaviors do they employ (using retrieval systems and software applications? Lastly, how do they understand consensus development processes? I applied ethnographic methods, including document analysis and retrospective experience, to collect data, and used data visualization to present preliminary insights.
Preliminary insights remove ambiguity in defining what consensus is and what it is not. Based on a historical analysis of scientific consensus, four significant shifts that have led us to modern-day consensus methods is described, and a process for which experts negotiate agreement is explained. Finally, there is a call to action for information professionals and LAM institutions to push back against invisible labor in order to convey how our profession, in particular, our subject matter expertise and systems knowledge, significantly impacts scientific consensus development.
ampbell, N. D. (2004). Credible Performances: The performativity of science studies. Social Studies of Science, 34(3), 433–442.
Case, D. O., & Given, L. M. (2016). Looking for information: A survey of research on information seeking, needs, and behavior. Bingley: Emerald.
Deaconescu, Razvan & Matei, Stefania. (2013). The Negotiation of Knowledge and Knowing: The Challenge of Using Wiki Technology in Computer Supported Collaborative Learning. Proceedings - 19th International Conference on Control Systems and Computer Science, CSCS 2013. 575-581.
Diehl, M., & Stroebe, W. (1987). Productivity loss in brainstorming groups: Toward the solution of a riddle. Journal of Personality and Social Psychology, 53, 497-509.
Dolev, Y., & Roubach, M. (2016). Boston Studies in the Philosophy and History of Science.
Fink, A., Kosecoff, J., Chassin, M., & Brook, R. H. (1984). Consensus Methods: Characteristics and guidelines for use. American Journal of Public Health, 74(9), 979-983.
Foster, J. (2006). Collaborative information seeking and retrieval. Annual review of information science and technology, 40(1), 329-356.
Furner, J. (2002). On recommending. Journal of the American Society for Information Science and Technology, 53(9), 747-763.
Goldstein, W. M., & Hogarth, R. M. (1997). Research on judgment and decision making: Currents, connections, and controversies. Cambridge, Cambridgeshire: Cambridge University Press.
Hilgartner, S. (2000). Science on Stage: Expert advice as public drama. Stanford University Press.
Janis, I. L. (1982). Groupthink: Psychological Studies of Policy Decisions and Fiascos. Boston: Houghton Mifflin.
Kuhn, T. S. (1962). The Structure of Scientific Revolutions. University of Chicago Press.
Latour, B. (2015). Science in Action: How to follow scientists and engineers through society. Harvard University Press.
Lievrouw, L. A. (2010). Social media and the production of knowledge: a return to little science?. Social Epistemology, 24(3), 219-237.
Price, D. J. D. S. (July 30, 1965). Networks of Scientific Papers. Science, 149, 3683, 510-515.
Shapin, S., & Schaffer, S. (2018). Leviathan and the Air-Pump: Hobbes, Boyle, and the experimental life. Princeton University Press.
Sherif, M. (1937). An Experimental Approach to the Study of Attitudes. Sociometry, 1(1/2), 90-98.
Poltrock, S., Grudin, J., Dumais, S., Fidel, R., Bruce, H., & Pejtersen, A. M. (2003, November). Information seeking and sharing in design teams. In Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work (pp. 239-247).
Reddy, Madhu & Jansen, Jim. (2008). A Model for Understanding Collaborative Information Behavior in Context: A Study of Two Healthcare Teams. Information Processing & Management. 44. 256-273.
Shah, Chirag. (2010). Collaborative Information Seeking: A Literature Review. Advances in Librarianship. 32. 3-33.
Thompson, L., Wang, J., & Gunia, B. (2010). Negotiation. Annual Review of Psychology, 61, 491-515.
Waggoner, J., Carline, J., & Durning, S. (2016). Is there a consensus on consensus methodology? Descriptions and recommendations for future consensus research. Academic Medicine, 91, 663–668.
Weingart, L. R., Hyder, E. B., & Prietula, M. J. (1996). Knowledge matters: The effect of tactical descriptions on negotiation behavior and outcome. Journal of Personality and Social Psychology, 70(6), 1205–1217.
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