Research Programme

  • The Scientific Planning Committee of IHDP-IRG Project
  • Qian Ye
Chapter
First Online:
Part of the IHDP-Integrated Risk Governance Project Series book series (IHDP-IRGPS)

Abstract

Modern risk governance is relying to a large extent on quantitative methods. These come in two major kinds, one close to the world of engineers, the other to the world of economists. Both rely on mathematical concepts and methods, and both are embedded in discourses of a less formalized kind, drawing on notions form the world of the humanities. One of the most important notions of this kind when dealing with risk and uncertainty is the idea of individual rationality.

Keywords

Wenchuan Earthquake Early Warning System Entry Transition Collective Rationality Bayesian Belief Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References

  1. Adams, W.M., and S.J. Jeanrenaud. 2008. Transition to sustainability: towards a humane and diverse world. Gland, Switzerland: IUCN.Google Scholar
  2. Amendola, A., J. Linnerooth-Bayer, N. Okada, et al. 2008. Towards integrated disaster risk management: case studies and trends from Asia. Natural Hazards 44: 163–168. (Special Issue).CrossRefGoogle Scholar
  3. Belnap, N. 2005. A theory of causation: causae causantes (originating causes) as inus conditions in branching space-times. British Journal for the Philosophy of Science 56(2): 221–253. doi: 10.1093/bjps/axi115.CrossRefGoogle Scholar
  4. Belnap, N. 2007. From Newtonian determinism to branching-space-time indeterminism. In Logic, concepts, and principles of action, ed. Thomas Müller, and Albert Newen, 13–31. Paderborn: Mentis Verlag GmbII.Google Scholar
  5. Berkes, F., and C. Folke. 1998. Linking social and ecological systems: management practices and social mechanisms for building resilience. Cambridge: Cambridge University Press.Google Scholar
  6. BMBF (Bundesministerium für Bildung und Forschung). 2004. Aufbau eines tsunami-Frühwarnsystems im Indischen Ozean. Der deutsch-indonesische Beitrag. Bonn: BMBF.Google Scholar
  7. Burton, I., R.W. Kates, and G.F. White. 1995. The environment as hazard. New York: The Guilford Press.Google Scholar
  8. Bussiere, M., and M. Fratzscher. 2006. Towards a new early warning system of financial crises. Journal of International Money and Finance 25: 953–973.CrossRefGoogle Scholar
  9. Chabay, I. 2004. Design for learning: product design and engineering for a knowledge-based society. Delft, The Netherlands: Proceedings of the 2nd International Engineering and Product Design Education Conference.Google Scholar
  10. Crawford, S.E.S., and E. Ostrom. 1995. A grammar of institutions. American Political Science Review 89(3): 582–600.CrossRefGoogle Scholar
  11. Dakos, V., M. Scheffer, E.H. van Nes, et al. 2008. Slowing down as an early warning signal for abrupt climate change. PNAS (Proceedings of the National Academy of Sciences of the United States of America) 105(38): 14308–14312.CrossRefGoogle Scholar
  12. Elzen, B., F. Geels, K. Green, et al. 2004. System innovation and the transition to sustainability: theory, evidence and policy. Cheltenham: Edward Elgar Publishing Limited.Google Scholar
  13. Emery, F.E., and E.L. Trist. 1965. The causal texture of organizational environments. Human Relations 18: 21–32.CrossRefGoogle Scholar
  14. Gallopín, G.C. 1991. Human dimensions of global change: linking the global and the local processes. International Social Science Journal 43(4): 707–718.Google Scholar
  15. Gardner, M.R., and W.R. Ashby. 1970. Connectance of large dynamic (cybernetic) systems: critical values for stability. Nature 228: 784.CrossRefGoogle Scholar
  16. Gintis, H. 2007. The dynamics of general economic equilibrium. The Economic Journal 117: 1280–1309.CrossRefGoogle Scholar
  17. Glaser, B.G., and A. Strauss. 1967. The discovery of grounded theory: strategies for qualitative research. Chicago: Aldine Publishing Cooperation.Google Scholar
  18. Hallegatte, S. 2008. An adaptive regional input–output model and its application to the assessment of the economic costs of Katrina. Risk Analysis 28(3): 779–799.CrossRefGoogle Scholar
  19. Hardin, G. 1968. The tragedy of the commons. Science 162: 1243–1248.CrossRefGoogle Scholar
  20. Held, D., A. McGrew, D. Goldblatt, et al. 1999. Global transformations: politics, economics and culture. Cambridge: Polity Press.Google Scholar
  21. Herman, A., V.B. Kumar, P.A. Arkin, et al. 1997. Objectively determined 10-day African rainfall estimates created for famine early warning systems. International Journal of Remote Sensing 18: 2147–2159.CrossRefGoogle Scholar
  22. Jaeger, C.C. 1994. Taming the dragon, transforming economic institutions in the face of global change. Yverdon: Gordon and Breach Science Publishers.Google Scholar
  23. Jaeger, C.C., O. Renn, E.A. Rosa, et al. 2001. Risk, uncertainty, and rational action. London: Earthscan.Google Scholar
  24. Jaeger, C.C., J. Krause, A. Haas, et al. 2008. A method for computing the fraction of attributable risk related to climate damages. Risk Analysis 28: 815–823.Google Scholar
  25. Kasperson, R.E., and J.X. Kasperson. 1996. The social amplification and attenuation of risk. Annals of the American Academy of Political and Social Sciences 545: 95–105.CrossRefGoogle Scholar
  26. Kasperson, R.E., O. Renn, P. Slovic, et al. 1988. The social amplifications of risk: a conceptual framework. Risk Analysis 8(2): 177–187.CrossRefGoogle Scholar
  27. Kirman, A.P. 1992. Whom or what does the representative individual represent? Journal of Economic Perspectives 6: 117–136.CrossRefGoogle Scholar
  28. Lofstedt, R., and O. Renn. 1997. The brent spar controversy: an example of risk communication gone wrong. Risk Analysis 17(2): 131–136.CrossRefGoogle Scholar
  29. May, R.M. 1973. Stability and complexity in model ecosystems. Princeton: Princeton University Press.Google Scholar
  30. Mileti, D.S. 1999. Disasters by design: a reassessment of natural hazards in the United States. Washington D.C.: National Academy Press.Google Scholar
  31. NRC (National Research Council of the National Academies). 1999. Our common journey: a transition toward sustainability. Washington D.C.: National Academy Press.Google Scholar
  32. Okada, N. 2004. Urban diagnosis and integrated disaster risk management. Journal of Natural Disaster Science 26: 49–54.Google Scholar
  33. Pidgeon, N., R.K. Kasperson, and P. Slovic. 2003. The social amplification of risk. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  34. Raskin, P., T. Banuri, G. Gallopín, et al. 2002. Great transition: the promise and the lure of the times ahead. Boston: Tellus Institute.Google Scholar
  35. Scientific Planning Committee of IRG Project Science Plan. 2010. Integrated risk governance project science plan. Potsdam/Beijing. ISBN: 978-3-941663-07-7.Google Scholar
  36. Shi, P.J. 1991. On the theory of disaster research and its practice. Journal of Nanjing University 11: 37–42. (In Chinese).Google Scholar
  37. Shi, P.J. 2003. Atlas of natural disaster system of China. Beijing: Science Press.Google Scholar
  38. Shi, P.J. 2005. Theory and practice on disaster system research in a fourth time. Journal of Natural Disasters 14(6): 1–7. (In Chinese).Google Scholar
  39. Shi, P.J., J.A. Wang, M.C. Yang, et al. 2000. Understanding of natural disaster database design and compilation of digital atlas of natural disasters in China. Annals of GIS 6(2): 153–158. doi: 10.1080/10824000009480544.CrossRefGoogle Scholar
  40. Shi, P.J., W.P. Guo, B.J. Li, et al. 2005a. Disaster reduction and sustainable development: adjustment of disaster reduction strategies of China based on “the 2nd world conference on disaster reduction, 2005”. Journal of Natural Disasters 14(3): 1–7. (In Chinese).Google Scholar
  41. Shi, P.J., J.J. Wu, J. Liu, et al. 2005b. Understanding of integrated regional disaster risk reduction mode. The Asian conference on disaster reduction, Beijing, China, September 27–29.Google Scholar
  42. Shi, P.J., J. Du, T. Ye, et al. 2006a. Enhancing researches on integrated disaster risk and improving disaster risk coping capacity of business and industry: integrated disaster reduction in China based on “the 6th annual IIASA—DPRI forum on intergrade disaster risk management, 2006”. Journal of Natural Disasters 15(5): 1–6. (In Chinese).Google Scholar
  43. Shi, P.J., N. Li, Q. Liu, et al. 2006b. Discussion on harmonization way of development and disaster reduction: harmonization strategies of development and disaster reduction in China based on “the international disaster reduction conference, Davos, 2006”. Journal of Natural Disasters 15(6): 1–8. (In Chinese).Google Scholar
  44. Tàbara, J.D., and C. Pahl-Wostl. 2007. Sustainability learning in natural resource use and management—synthesis, part of a special feature on social learning in water resources management. Ecology and Society 12(2): 3.Google Scholar
  45. Turner II, B.L., R.E. Kasperson, P.A. Matson, et al. 2003. A framework for vulnerability analysis in sustainability science. PNAS (Proceedings of the National Academy of Sciences of the United States of America) 100(14): 8074–8079.CrossRefGoogle Scholar
  46. Villagrán de León, J.C. 2006. Vulnerability: a conceptual and methodological review. Studies of the university: research, counsel, education—publication series of UNU-IEHS, (United Nations University—Institute for Environment and Human Security), no. 4.Google Scholar
  47. Wagner, M.M., Fu-Chiang Tsui, J.U. Espino, et al. 2001. The emerging science of very early detection of disease outbreaks. Journal of Public Health Management & Practice 7(6): 51–59.Google Scholar
  48. Weick, K.E., and K.M. Sutcliffe. 2001. Managing the unexpected: assuring high performance in an age of complexity. San Francisco: Jossey-Bass.Google Scholar
  49. Whitehead, A.N. 1929. Process and reality: an essay in cosmology. New York: Free Press.Google Scholar
  50. Wilkinson, A. 2009. Scenarios practices: in search of theory. Journal of Futures Studies 13(3): 107–114.Google Scholar
  51. Wilsdon, J., B. Wynne, and J. Stilgoe. 2005. The public value of science—or how to ensure that science really matters. London: DEMOS.Google Scholar
  52. Wisner, B., P. Blaikie, T. Cannon, et al. 2003. At risk: natural hazards, people’s vulnerability, and disasters. New York: Routledge.Google Scholar
  53. Yin, R.K. 1984. Case study research: design and methods. Newbury Park: Sage.Google Scholar
  54. Yoon, S.M., J.S. Choi, C.C. Lee, et al. 2006. Phase transition of dynamical herd behaviors for Yen–Dollar exchange rates. Physica A: Statistical Mechanics and its Applications 359: 563–568.CrossRefGoogle Scholar
  55. Young, H.P. 1993. The evolution of conventions. Econometrica 61: 57–84.CrossRefGoogle Scholar
  56. Young, O.R., F. Berkhout, G.C. Gallopin, et al. 2006. The globalization of socio-ecological systems: an agenda for scientific research. Global Environmental Change 16: 304–316.CrossRefGoogle Scholar
  57. Zha, H., Z. Pan, H. Thwaites, et al. 2006. Interactive technologies and sociotechnical systems. New York: Springer.CrossRefGoogle Scholar

Copyright information

© Beijing Normal University Press, Beijing and Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • The Scientific Planning Committee of IHDP-IRG Project
    • 1
  • Qian Ye
    • 1
  1. 1.Beijing Normal UniversityBeijingPeople’s Republic of China

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