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The Science-Policy Interface of Subsurface Environmental Modelling

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Subsurface Environmental Modelling Between Science and Policy

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Abstract

Modelling activities in science are not limited to the scientific community itself, but relate to and impact other domains of society. With this chapter, we conceptually explore matters of modelling at the science-policy interface. Understanding scientific modelling as a tool and school to provide evidenced-based knowledge, there are several particularities when modelling enters the sphere of policy-making and public debate.

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Notes

  1. 1.

    Computable general equilibrium (CGE) models refer to computational economic models that estimate future economic changes and developments dependent on external policy, technology or other factors.

References

  • Alcamo J, Kreileman E, Leemans R (1996) Global models meet global policy: how can global and regional modellers connect with environmental policy makers? what has hindered them? what has helped? Global Environ Change 6:255–259

    Article  Google Scholar 

  • Aven T, Renn O (2010) Risk management and governance: concepts, guidelines and applications. Springer

    Google Scholar 

  • Balci O (1989) How to assess the acceptability and credibility of simulation results. In: Proceedings of the 21st conference on Winter simulation. ACM, pp 62–71

    Google Scholar 

  • Banks J (1998) Handbook of simulation: principles, methodology, advances, applications, and practice. Wiley

    Google Scholar 

  • Beyme K (1997) Der Gesetzgeber: Der Bundestag als Entscheidungszentrum. VS Verlag für Sozialwissenschaften

    Google Scholar 

  • Böhringer C, Rutherford TF, Wiegard W (2003) Computable general equilibrium analysis: opening a black box. Technical report, ZEW Discussion Papers

    Google Scholar 

  • Bots PW, van Daalen CE (2008) Participatory model construction and model use in natural resource management: a framework for reflection. Syst Pract Action Res 21:389–407

    Article  Google Scholar 

  • Boulanger P-M, Bréchet T (2005) Models for policy-making in sustainable development: the state of the art and perspectives for research. Ecol Econ 55:337–350

    Article  Google Scholar 

  • Bradshaw GA, Borchers JG (2000) Uncertainty as information: narrowing the science-policy gap. Conserv Ecol 4:7

    Article  Google Scholar 

  • Brenner T, Werker C (2009) Policy advice derived from simulation models. J Artif Soc Soc Simul 12:2

    Google Scholar 

  • Brugnach M, Tagg A, Keil F, de Lange WJ (2007) Uncertainty matters: computer models at the science-policy interface. Water Resour Manag 21:1075–1090

    Article  Google Scholar 

  • Cole HS (1973) Models of doom: a critique of the limits to growth. Universe Pub

    Google Scholar 

  • Dreyer M, Konrad W, Scheer D (2015) Partizipative Modellierung: Erkenntnisse und Erfahrungen aus einer Methodengenese. In: Niederberger M, Wassermann S (eds) Methoden der Experten-und Stakeholdereinbindung in der sozialwissenschaftlichen Forschung. Springer, pp 261–285

    Google Scholar 

  • Durán JM, Arnold E (2013) Computer simulations and the changing face of scientific experimentation. Cambridge Scholars Publishing

    Google Scholar 

  • Durán JM (2018) Computer simulations in science and engineering. Concept, practices, perspectives. Springer

    Google Scholar 

  • EU Water Framework Directive (2000) EU, Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX. Online; Accessed 20-April-2019

  • Evans S (2008) A new look at the interaction of scientific models and policymaking. Technical report, Record of the Workshop within the Policy Foresight Programme

    Google Scholar 

  • Farber DA (2007) Modeling climate change and its impacts: law, policy, and science. Tex Law Rev 86:1655–1699

    Google Scholar 

  • Fine JD, Owen D (2004) Technocracy and democracy: conflicts between models and participation in environmental law and planning. Hastings Law J 56:901–982

    Google Scholar 

  • Fisher E, Pascual P, Wagner W (2010) Understanding environmental models in their legal and regulatory context. J Environ Law 22:251–283

    Article  Google Scholar 

  • Funtowicz SO, Ravetz JR (1993) Science for the post-normal age. Futures 25:739–755

    Article  Google Scholar 

  • Gibbons M (1994) The new production of knowledge: the dynamics of science and research in contemporary societies. Sage

    Google Scholar 

  • Grünfeld H (1999) Creating favorable conditions for international environmental change through knowledge and negotiation. Lessons from the Rhine Action Program and the Second Sulphur Protocol, implications for Climate Change. PhD thesis, Delft University of Technology

    Google Scholar 

  • Grunwald A (2006) Scientific independence as a constitutive part of parliamentary technology assessment. Sci Public Policy 33:103–113

    Article  Google Scholar 

  • Haag D, Kaupenjohann M (2001) Parameters, prediction, post-normal science and the precautionary principle - a roadmap for modelling for decision-making. Ecol Model 144:45–60

    Article  Google Scholar 

  • Hare M, Letcher RA, Jakeman AJ (2003) Participatory modelling in natural resource management: a comparison of four case studies. Integr Assess 4:62–72

    Article  Google Scholar 

  • Heinrichs H (2005) Advisory systems in pluralistic knowledge societies: a criteria-based typology to assess and optimize environmental policy advice. In: Maasen S, Weingart P (eds) Democratization of expertise?. Springer, pp 41–61

    Google Scholar 

  • Heintz B (2007) Zahlen, Wissen, Objektivität: Wissenschaftssoziologische Perspektiven. In: Mennicken A, Vollmer H (eds) Zahlenwerk: Kalkulation, Organisation und Gesellschaft. Springer, pp 65–85

    Google Scholar 

  • Hellström T (1996) The science-policy dialogue in transformation: model-uncertainty and environmental policy. Sci Public Policy 23:91–97

    Google Scholar 

  • Højberg AL, Refsgaard JC, van Geer F, Jørgensen LF, Zsuffa I (2007) Use of models to support the monitoring requirements in the water framework directive. Water Resour Manag 21:1649–1672

    Article  Google Scholar 

  • Ivanovic RF, Freer JE (2009) Science versus politics: truth and uncertainty in predictive modelling. Hydrol Process 23:2549–2554

    Article  Google Scholar 

  • Jasanoff S (1998) Skinning scientific cats. In: Conca K, Alberty M, Dabelko G (eds) Green planet blues. Westview Press, pp 153–156

    Google Scholar 

  • Jasanoff S, Wynne B, Buttel F, Charvolin F, Edwards P, Elzinga A, Haas P, Kwa C, Lambright W, Lynch M, Miller C (1998) Science and decisionmaking. In: Rayner S, Malone E (eds) Human choice & climate change: the societal framework. Battelle Press, pp 1–88

    Google Scholar 

  • Kahneman D, Slovic SP, Slovic P, Tversky A (1982) Judgment under uncertainty: heuristics and biases. Cambridge University Press

    Google Scholar 

  • Kämäri J, Rekolainen S (2005) Models in the implementation of the Water Framework Directive: benchmarking as part of the modelling proccess. Freshw Forum 23:166–170

    Google Scholar 

  • King JL, Kraemer KL (1993) Models, facts, and the policy process: the political ecology of estimated truth. Technical report, Center for Research on Information Systems and Organizations

    Google Scholar 

  • Mayntz R (1994) Politikberatung und politische Entscheidungsstrukturen: Zu den Voraussetzungen des Politikberatungsmodells. In: Murswieck A (ed) Regieren und Politikberatung. Leske + Budrich, pp 17–29

    Google Scholar 

  • Meadows D, Meadows D, Randers J, Behrens W (1972) The limits to growth. A report for the Club of Rome’s project on the predicament of mankind. Universe Books

    Google Scholar 

  • Meadows D, Richardson J, Bruckmann G (1982) Gro** in the dark: the first decade of global modelling. Wiley

    Google Scholar 

  • Morgan MG, Henrion M (1990) Uncertainty: a guide to dealing with uncertainty in quantitative risk and policy analysis. Cambridge University Press

    Google Scholar 

  • National Research Council (2007) Models in environmental regulatory decision making. National Academies Press

    Google Scholar 

  • Nowotny H (1999) Es ist so - es könnte auch anders sein: Ãœber das veränderte Verhältnis von Wissenschaft und Gesellschaft. Suhrkamp

    Google Scholar 

  • Nutley SM, Walter I, Davies HT (2007) Using evidence: how research can inform public services. Policy Press

    Google Scholar 

  • Oberkampf W, Trucano T (2002) Verification and validation in computational fluid dynamics. Prog Aerosp Sci 38:209–272

    Article  Google Scholar 

  • Olsson JA, Andersson L (2007) Possibilities and problems with the use of models as a communication tool in water resource management. Water Resour Manag 21:97–110

    Article  Google Scholar 

  • Oreskes N (2000) Why believe a computer? models, measures, and meaning in the natural world. In: Schneiderman J (ed) The earth around us. Routledge, pp 70–82

    Google Scholar 

  • Oreskes N, Shrader-Frechette K, Belitz K (1994) Verification, validation, and confirmation of numerical models in the earth sciences. Science 263:641–646

    Article  Google Scholar 

  • Pahl-Wostl C, Schlumpf C, Büssenschütt M, Schönborn A, Burse J (2000) Models at the interface between science and society: impacts and options. Integr Assess 1:267–280

    Article  Google Scholar 

  • Petersen A (2006) Simulating nature: a philosophical study of computer-simulation uncertainties and their role in climate science and policy advice. Het Spinhuis

    Google Scholar 

  • Pilkey OH, Pilkey-Jarvis L (2007) Useless arithmetic: why environmental scientists can’t predict the future. Columbia University Press

    Google Scholar 

  • Porter TM (1996) Trust in numbers: the pursuit of objectivity in science and public life. Princeton University Press

    Google Scholar 

  • Renn O (1995) Style of using scientific expertise: a comparative framework. Sci Public Policy 22:147–156

    Article  Google Scholar 

  • Renn O, Sellke P (2011) Risk, society and policy making: risk governance in a complex world. Int J Perform Eng 7:349–366

    Google Scholar 

  • Salter L (1988) Mandated science: science and scientists in the making of standards. Kluwer Academic Publishers

    Google Scholar 

  • Sarewitz D, Pielke R, Radford B (2000) Prediction: science, decision making, and the future of nature. Island Press

    Google Scholar 

  • Scheer D (2013) Computersimulationen in politischen Entscheidungsprozessen: Zur Politikrelevanz von Simulationswissen am Beispiel der CO\(_\text{2}\)-Speicherung. Springer

    Google Scholar 

  • Scheer D, Benighaus C, Benighaus L, Renn O, Gold S, Rder B, Bl G-F (2014) The distinction between risk and hazard: understanding and use in stakeholder communication. Risk Anal 34:1270–1285

    Google Scholar 

  • Scheer D (2017) Between knowledge and action: conceptualizing scientific simulation and policy-making. In: Resch M, Kaminski A, Gehring P (eds) The science and art of simulation I. Springer, pp 103–118

    Google Scholar 

  • Scheer D, Konrad W, Class H, Kissinger A, Knopf S, Noack V (2015) Expert involvement in science development: (re-)evaluation of an early screening tool for carbon storage site characterization. Int J Greenhouse Gas Control 37:228–236

    Article  Google Scholar 

  • Schmolke A, Thorbek P, DeAngelis DL, Grimm V (2010) Ecological models supporting environmental decision making: a strategy for the future. Trends Ecol Evol 25:479–486

    Article  Google Scholar 

  • Thorngate W, Tavakoli M (2009) Simulation, rhetoric, and policy making. Simul Gaming 40:513–527

    Article  Google Scholar 

  • Van Daalen CE, Dresen L, Janssen MA (2002) The roles of computer models in the environmental policy life cycle. Environ Sci Policy 5:221–231

    Article  Google Scholar 

  • Van der Sluijs JP (2002) A way out of the credibility crisis of models used in integrated environmental assessment. Futures 34:133–146

    Article  Google Scholar 

  • Van der Sluijs JP, Petersen AC, Janssen PH, Risbey JS, Ravetz JR (2008) Exploring the quality of evidence for complex and contested policy decisions. Environ Res Lett 3:024008

    Article  Google Scholar 

  • Wagner W, Fisher E, Pascual P (2010) Misunderstanding models in environmental and public health regulation. NYU Environ Law J 18:293–356

    Google Scholar 

  • Walker WE, Harremoës P, Rotmans J, van der Sluijs JP, van Asselt MB, Janssen P, Krayer von Krauss MP (2003) Defining uncertainty: a conceptual basis for uncertainty management in model-based decision support. Integr Assess 4:5–17

    Article  Google Scholar 

  • Walter L, Binning P, Oladyshkin S, Flemisch B, Class H (2012) Brine migration resulting from CO\(_2\) injection into saline aquifers - an approach to risk estimation including various levels of uncertainty. Int J Greenhouse Gas Control 9:495–506

    Article  Google Scholar 

  • Warnke P (2019) Computersimulation und Intervention. Eine Methode der Technikentwicklung als Vermittlungsinstrument soziotechnischer Umordnungen. http://tuprints.ulb.tu-darmstadt.de/epda/000277/DissWarnke_LHB.pdf. Online; Accessed 23-April-2019

  • Weingart P (1997) Neue Formen der Wissensproduktion – Fakt, Fiktion und Mode. IWT Paper, vol 15

    Google Scholar 

  • Weiss CH (1979) The many meanings of research utilization. Public Adm Rev 39:426–431

    Article  Google Scholar 

  • Wollmann H (2001) Politikberatung. In: Nohlen D (ed) Kleines Lexikon der Politik. C.H.Beck, pp 376–380

    Google Scholar 

  • Yücel G, van Daalen E (2009) An objective-based perspective on assessment of model-supported policy processes. J Artif Soc Soc Simul 12:3

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute for Technology Assessment and Systems Analysis (ITAS), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

    Dirk Scheer

  2. Institute for Modelling Hydraulic and Environmental Systems (IWS), University of Stuttgart, Stuttgart, Germany

    Holger Class & Bernd Flemisch

Authors
  1. Dirk Scheer
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  2. Holger Class
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  3. Bernd Flemisch
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Correspondence to Dirk Scheer .

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Scheer, D., Class, H., Flemisch, B. (2021). The Science-Policy Interface of Subsurface Environmental Modelling. In: Subsurface Environmental Modelling Between Science and Policy. Advances in Geophysical and Environmental Mechanics and Mathematics. Springer, Cham. https://doi.org/10.1007/978-3-030-51178-4_5

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