Solving Wicked Social Problems with Socio-computational Systems

Global climate change is one of the most challenging problems humanity has ever faced. Fortunately, a new way of solving large, complex problems has become possible in just the last decade or so. Examples like Wikipedia and Linux illustrate how the work of thousands of people can be combined in ways that would have been impossible only a few years ago. Inspired by systems like these, we developed the Climate CoLab—a global, on-line platform in which thousands of people around the world work together to create, analyze, and ultimately select detailed plans for what we humans can do about global climate change.The Climate CoLab has been operating since November 2009, and has an active community of thousands of users. In this article, we outline some of the challenges faced in developing the system, describe our current solutions to these problems, and report on our experiences.

[1]  H. Rittel,et al.  Dilemmas in a general theory of planning , 1973 .

[2]  Gerardine DeSanctis,et al.  A foundation for the study of group decision support systems , 1987 .

[3]  Jay F. Nunamaker,et al.  Electronic meeting systems , 1991, CACM.

[4]  Warren D. Smith Range voting , 2000 .

[5]  Igor S Mayer,et al.  Collaborative Decisionmaking for Sustainable Urban Renewal Projects: A Simulation – Gaming Approach , 2005 .

[6]  Jeff Conklin,et al.  Dialogue Mapping: Building Shared Understanding of Wicked Problems , 2005 .

[7]  Matthew J. Salganik,et al.  Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market , 2006, Science.

[8]  N. Nakicenovic,et al.  Climate change 2007: Mitigation. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers. , 2007 .

[9]  Carlo Giupponi,et al.  Environmental decision support systems: Current issues, methods and tools , 2007, Environ. Model. Softw..

[10]  T. Wilbanks,et al.  Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[11]  Graeme Auld,et al.  Playing it forward: Path dependency, progressive incrementalism, and the "Super Wicked" problem of global climate change , 2009 .

[12]  Chrysanthos Dellarocas,et al.  The collective intelligence genome , 2010, IEEE Engineering Management Review.

[13]  Gary M. Olson,et al.  The Climate CoLab: Large scale model-based collaborative planning , 2011, 2011 International Conference on Collaboration Technologies and Systems (CTS).

[14]  Kenton O'Hara,et al.  BISi: a blended interaction space , 2011, CHI EA '11.

[15]  Scott R. Klemmer,et al.  Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology , 2011, UIST 2011.

[16]  Björn Hartmann,et al.  Turkomatic: automatic recursive task and workflow design for mechanical turk , 2011, Human Computation.

[17]  Aniket Kittur,et al.  CrowdForge: crowdsourcing complex work , 2011, UIST.

[18]  Thomas W. Malone,et al.  Enabling Open Development Methodologies in Climate Change Assessment Modeling , 2011, IEEE Software.

[19]  W. Marsden I and J , 2012 .

[20]  Kristina Höök,et al.  Proceedings of the SIGCHI Conference on Human Factors in Computing Systems , 2012 .

[21]  Krzysztof Z. Gajos,et al.  Human computation tasks with global constraints , 2012, CHI.

[22]  Walterio W. Mayol-Cuevas,et al.  Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems , 2012 .

[23]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.