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2015 | OriginalPaper | Buchkapitel

3. The Quality of Social Simulation: An Example from Research Policy Modelling

verfasst von : Petra Ahrweiler, Nigel Gilbert

Erschienen in: Policy Practice and Digital Science

Verlag: Springer International Publishing

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Abstract

This chapter deals with the assessment of the quality of a simulation. The first section points out the problems of the standard view and the constructivist view in evaluating social simulations. A simulation is good when we get from it what we originally would have liked to get from the target; in this, the evaluation of the simulation is guided by the expectations, anticipations, and experience of the community that uses it. This makes the user community view the most promising mechanism to assess the quality of a policy-modelling exercise. The second section looks at a concrete policy-modelling example to test this idea. It shows that the very first negotiation and discussion with the user community to identify their questions is highly user-driven, interactive, and iterative. It requires communicative skills, patience, willingness to compromise on both sides, and motivation to make the formal world of modellers and the narrative world of practical policy making meet. Often, the user community is involved in providing data for calibrating the model. It is not an easy issue to confirm the existence, quality, and availability of data and check for formats and database requirements. As the quality of the simulation in the eyes of the user will very much depend on the quality of the informing data and the quality of the model calibration, much time and effort need to be spent in coordinating this issue with the user community. Last but not least, the user community has to check the validity of simulation results and has to believe in their quality. Users have to be enabled to understand the model, to agree with its processes and ways to produce results, to judge similarity between empirical and simulated data, etc. Although the user community view might be the most promising, it is the most work-intensive mechanism to assess the quality of a simulation. Summarising, to trust the quality of a simulation means to trust the process that produced its results. This process includes not only the design and construction of the simulation model itself but also the whole interaction between stakeholders, study team, model, and findings.
This chapter deals with the assessment of the quality of a simulation. After discussing this issue on a general level, we apply and test the assessment mechanisms using an example from policy modelling.

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Fußnoten
1
We owe the suggestion that simulation could be a tool to make theories more determined by data to one of the referees of Ahrweiler and Gilbert (2005).
 
2
Thomas Nickles claims new work opportunities for sociology at this point: “the job of philosophy is simply to lay out the necessary logico-methodological connections against which the under-determination of scientific claims may be seen; in other words, to reveal the necessity of sociological analysis. Philosophy reveals the depths of the under-determination problem, which has always been the central problem of methodology, but is powerless to do anything about it. Under-determination now becomes the province of sociologists, who see the limits of under-determination as the bounds of sociology. Sociology will furnish the contingent connections, the relations, which a priori philosophy cannot” (Nickles 1989, p. 234 f.).
 
Literatur
Zurück zum Zitat Ahrweiler P, Gilbert N (2005) Caffe Nero: the evaluation of social simulation. J Artif Soc Soc Simul 8(4):14 Ahrweiler P, Gilbert N (2005) Caffe Nero: the evaluation of social simulation. J Artif Soc Soc Simul 8(4):14
Zurück zum Zitat Ahrweiler P, Pyka A, Gilbert N (2011) A New model for university-industry links in knowledge-based economies. J Prod Innov Manag 28:218–235CrossRef Ahrweiler P, Pyka A, Gilbert N (2011) A New model for university-industry links in knowledge-based economies. J Prod Innov Manag 28:218–235CrossRef
Zurück zum Zitat Ahrweiler P, Schilperoord M, Pyka A, Gilbert N (2014a, forthcoming): Testing policy options for horizon 2020 with SKIN. In: Gilbert N, Ahrweiler P, Pyka A (eds) Simulating knowledge dynamics in innovation networks. Springer, Heidelberg Ahrweiler P, Schilperoord M, Pyka A, Gilbert N (2014a, forthcoming): Testing policy options for horizon 2020 with SKIN. In: Gilbert N, Ahrweiler P, Pyka A (eds) Simulating knowledge dynamics in innovation networks. Springer, Heidelberg
Zurück zum Zitat Ahrweiler P, Pyka A, Gilbert N (2014b, forthcoming): Simulating knowledge dynamics in innovation networks: an introduction. In: Gilbert N, Ahrweiler P, Pyka A (eds) Simulating knowledge dynamics in innovation networks. Springer, Heidelberg Ahrweiler P, Pyka A, Gilbert N (2014b, forthcoming): Simulating knowledge dynamics in innovation networks: an introduction. In: Gilbert N, Ahrweiler P, Pyka A (eds) Simulating knowledge dynamics in innovation networks. Springer, Heidelberg
Zurück zum Zitat Axelrod R (1984) The evolution of cooperation. Basic Books, New York Axelrod R (1984) The evolution of cooperation. Basic Books, New York
Zurück zum Zitat Balzer W, Moulines CU, Sneed JD (1987) An architectonic for science. The structuralist program. Reidel, DordrechtCrossRef Balzer W, Moulines CU, Sneed JD (1987) An architectonic for science. The structuralist program. Reidel, DordrechtCrossRef
Zurück zum Zitat Baudrillard J (1988) Jean Baudrillard selected writings. Polity Press, Cambridge Baudrillard J (1988) Jean Baudrillard selected writings. Polity Press, Cambridge
Zurück zum Zitat Ben-Naim E, Krapivsky P, Redner S (2003) Bifurcations and patterns in compromise processes. Phys D 183:190–204CrossRef Ben-Naim E, Krapivsky P, Redner S (2003) Bifurcations and patterns in compromise processes. Phys D 183:190–204CrossRef
Zurück zum Zitat Benenson I (2005) The city as a human-driven system. Paper presented at the workshop on modelling urban social dynamics. University of Surrey, Guildford, April 2005. Benenson I (2005) The city as a human-driven system. Paper presented at the workshop on modelling urban social dynamics. University of Surrey, Guildford, April 2005.
Zurück zum Zitat Bruch E (2005) Dynamic models of neighbourhood change. Paper presented at the workshop on modelling urban social dynamics. University of Surrey, Guildford, April 2005. Bruch E (2005) Dynamic models of neighbourhood change. Paper presented at the workshop on modelling urban social dynamics. University of Surrey, Guildford, April 2005.
Zurück zum Zitat Carrier M (1994) The completeness of scientific theories. On the derivation of empirical indicators within a theoretical framework: the case of physical geometry. Kluwer, Dordrecht Carrier M (1994) The completeness of scientific theories. On the derivation of empirical indicators within a theoretical framework: the case of physical geometry. Kluwer, Dordrecht
Zurück zum Zitat Castelacci F, Fevolden A, Blom M (2014) R & D policy support and industry concentration: a SKIN model analysis of the European defence industry. In: Gilbert N, Ahrweiler P, PykaA (eds) Simulating knowledge dynamics in innovation networks. Heidelberg, Springer Castelacci F, Fevolden A, Blom M (2014) R & D policy support and industry concentration: a SKIN model analysis of the European defence industry. In: Gilbert N, Ahrweiler P, PykaA (eds) Simulating knowledge dynamics in innovation networks. Heidelberg, Springer
Zurück zum Zitat Chalmers D, French R, Hofstadter D (1995) High-level perception, representation, and analogy. In: Hofstadter D (ed) Fluid concepts and creative analogies. Basic Books, New York, pp 165–191 Chalmers D, French R, Hofstadter D (1995) High-level perception, representation, and analogy. In: Hofstadter D (ed) Fluid concepts and creative analogies. Basic Books, New York, pp 165–191
Zurück zum Zitat Cole O (2000) White-box testing. Dr. Dobb’s Journal, March 2000, pp 23–28 Cole O (2000) White-box testing. Dr. Dobb’s Journal, March 2000, pp 23–28
Zurück zum Zitat Deffuant G, Neau D, Amblard F, Weisbuch G (2000) Mixing beliefs among interacting agents. Advances in complex systems. Adv Complex Syst 3:87–98CrossRef Deffuant G, Neau D, Amblard F, Weisbuch G (2000) Mixing beliefs among interacting agents. Advances in complex systems. Adv Complex Syst 3:87–98CrossRef
Zurück zum Zitat Doran J, Gilbert N (1994) Simulating Societies: an Introduction. In: Doran J, Gilbert N (eds) Simulating societies: the computer simulation of social phenomena. UCL Press, London, pp 1–18 Doran J, Gilbert N (1994) Simulating Societies: an Introduction. In: Doran J, Gilbert N (eds) Simulating societies: the computer simulation of social phenomena. UCL Press, London, pp 1–18
Zurück zum Zitat Droste W (1994) Sieger sehen anders aus (Winners look different). Schulenburg, Hamburg Droste W (1994) Sieger sehen anders aus (Winners look different). Schulenburg, Hamburg
Zurück zum Zitat Gellner E (1990) Pflug, Schwert und Buch. Grundlinie der Menschheitsgeschichte (Plough, Sword and Book. Foundations of human history). Klett-Cotta, Stuttgart Gellner E (1990) Pflug, Schwert und Buch. Grundlinie der Menschheitsgeschichte (Plough, Sword and Book. Foundations of human history). Klett-Cotta, Stuttgart
Zurück zum Zitat Gilbert N, Troitzsch K (1997) Simulation for the social scientist. Open University Press, Buckingham Gilbert N, Troitzsch K (1997) Simulation for the social scientist. Open University Press, Buckingham
Zurück zum Zitat Gilbert N, Ahrweiler P, Pyka A (2007) Learning in innovation networks: some simulation experiments. Phys A: Stat Mech Appl 378(1):667–693 Gilbert N, Ahrweiler P, Pyka A (2007) Learning in innovation networks: some simulation experiments. Phys A: Stat Mech Appl 378(1):667–693
Zurück zum Zitat Gilbert N, Ahrweiler P, Pyka A (eds) (2014, forthcoming) Simulating knowledge dynamics in innovation networks. Springer, HeidelbergCrossRef Gilbert N, Ahrweiler P, Pyka A (eds) (2014, forthcoming) Simulating knowledge dynamics in innovation networks. Springer, HeidelbergCrossRef
Zurück zum Zitat Glasersfeld E von (1987) Siegener Gespräche über Radikalen Konstruktivismus (Siegen Diskussions on Radical Constructivism). In: Schmidt SJ (ed) Der Diskurs des Radikalen Konstruktivismus. Suhrkamp, Frankfurt a. M., pp 401–440 Glasersfeld E von (1987) Siegener Gespräche über Radikalen Konstruktivismus (Siegen Diskussions on Radical Constructivism). In: Schmidt SJ (ed) Der Diskurs des Radikalen Konstruktivismus. Suhrkamp, Frankfurt a. M., pp 401–440
Zurück zum Zitat Harbodt S (1974) Computer simulationen in den Sozialwissenschaften (Computer simulations in the social sciences). Rowohlt, Reinbek Harbodt S (1974) Computer simulationen in den Sozialwissenschaften (Computer simulations in the social sciences). Rowohlt, Reinbek
Zurück zum Zitat Kértesz A (1993) Artificial intelligence and the sociology of scientific knowledge. Lang, Frankfurt, a. M. Kértesz A (1993) Artificial intelligence and the sociology of scientific knowledge. Lang, Frankfurt, a. M.
Zurück zum Zitat Korber M, Paier M (2014) Simulating the effects of public funding on research in life sciences: direct research funds versus tax incentives. In: Gilbert N, Ahrweiler P, Pyka A (eds) Simulating knowledge dynamics in innovation networks. Springer, Heidelberg Korber M, Paier M (2014) Simulating the effects of public funding on research in life sciences: direct research funds versus tax incentives. In: Gilbert N, Ahrweiler P, Pyka A (eds) Simulating knowledge dynamics in innovation networks. Springer, Heidelberg
Zurück zum Zitat Nickles T (1989) ∈ntegrating the science studies disciplines. In: Fuller S, de Mey M, Shinn T, Woolgar S (eds) The cognitive turn. Sociological and psychological perspectives on science. Kluwer, Dordrecht, pp 225–256 Nickles T (1989) ∈ntegrating the science studies disciplines. In: Fuller S, de Mey M, Shinn T, Woolgar S (eds) The cognitive turn. Sociological and psychological perspectives on science. Kluwer, Dordrecht, pp 225–256
Zurück zum Zitat Norris C (1992) Uncritical theory. Lawrence and Wishart, London Norris C (1992) Uncritical theory. Lawrence and Wishart, London
Zurück zum Zitat Pyka A, Gilbert N, Ahrweiler P (2003) Simulating Innovation networks. In: Pyka A, Küppers G (eds) Innovation networks—theory and practice. Edward Elgar, Cheltenham, pp 169–198 Pyka A, Gilbert N, Ahrweiler P (2003) Simulating Innovation networks. In: Pyka A, Küppers G (eds) Innovation networks—theory and practice. Edward Elgar, Cheltenham, pp 169–198
Zurück zum Zitat Pyka A, Gilbert N, Ahrweiler P (2007) Simulating knowledge generation and distribution processes in innovation collaborations and networks. Cybern Syst 38(7):667–693CrossRef Pyka A, Gilbert N, Ahrweiler P (2007) Simulating knowledge generation and distribution processes in innovation collaborations and networks. Cybern Syst 38(7):667–693CrossRef
Zurück zum Zitat Quine W (1977) Ontological relativity. Columbia University Press, Columbia Quine W (1977) Ontological relativity. Columbia University Press, Columbia
Zurück zum Zitat Schilperoord M, Ahrweiler P (2014, forthcoming) Towards a prototype policy laboratory for simulating innovation networks. In: Gilbert N, Ahrweiler P, Pyka A (eds) Simulating knowledge dynamics in innovation networks. Springer, Heidelberg Schilperoord M, Ahrweiler P (2014, forthcoming) Towards a prototype policy laboratory for simulating innovation networks. In: Gilbert N, Ahrweiler P, Pyka A (eds) Simulating knowledge dynamics in innovation networks. Springer, Heidelberg
Zurück zum Zitat Scholz R, Nokkala T, Ahrweiler P, Pyka A, Gilbert N (2010) The agent-based NEMO model (SKEIN): simulating European Framework programmes. In: Ahrweiler P (ed) Innovation in complex social systems, Routledge studies in global competition. Routledge, London, pp 300–314 Scholz R, Nokkala T, Ahrweiler P, Pyka A, Gilbert N (2010) The agent-based NEMO model (SKEIN): simulating European Framework programmes. In: Ahrweiler P (ed) Innovation in complex social systems, Routledge studies in global competition. Routledge, London, pp 300–314
Zurück zum Zitat Searle J (1997) The construction of social reality. Free Press, New York Searle J (1997) The construction of social reality. Free Press, New York
Zurück zum Zitat Weisbuch G (2004) Bounded confidence and social networks. Special Issue: application of complex networks in biological information and physical systems. Eur Phys JB 38:339–343 Weisbuch G (2004) Bounded confidence and social networks. Special Issue: application of complex networks in biological information and physical systems. Eur Phys JB 38:339–343
Metadaten
Titel
The Quality of Social Simulation: An Example from Research Policy Modelling
verfasst von
Petra Ahrweiler
Nigel Gilbert
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-12784-2_3