Open Government in Policy Development: From Collaborative Scenario Texts to Formal Policy Models

The technical capacities of service offers for e-government and e-participation have considerably progressed over the last years. Yet, the principles of good governance are still not well implemented, especially when it comes to policy development. Governments struggle to effectively apply innovative technologies in regards to providing open collaboration in policy formulation or to monitor and evaluate policy implementation. Through a recent initiative of the European Commission (EC), several research projects have been launched to address these challenges. This paper first investigates existing deficiencies in open government towards transparent policy development. Subsequently, an approach of a project funded by the EC is introduced to develop better ICT support for open collaboration in policy modeling. The approach combines existing e-participation tools, collaborative scenario generation and formal policy modeling to evaluate and explore policies via agent-based modeling (OCOPOMO - www.ocopomo.eu).

[1]  M. Kus,et al.  Separable approximation for mixed states of composite quantum systems. , 2001, quant-ph/0104098.

[2]  B. Latané,et al.  From private attitude to public opinion: A dynamic theory of social impact. , 1990 .

[3]  J. B. Rosser,et al.  On the Complexities of Complex Economic Dynamics , 1999 .

[4]  Jeremy Rose,et al.  D.14.3 DEMO-net booklet: The role of Social networking software in eParticipation , 2008 .

[5]  Chenyi Hu,et al.  Impacts of Interval Computing on Stock Market Variability Forecasting , 2008 .

[6]  Maria Wimmer,et al.  Integrated Service Modeling for Online One-stop Government , 2002, Electron. Mark..

[7]  Scott Camazine Self‐Organizing Systems , 2006 .

[8]  A. Opstal Dynamic Patterns: The Self-Organization of Brain and Behavior , 1995 .

[9]  R. Mansini,et al.  Models and Simulations for Portfolio Rebalancing , 2009 .

[10]  Lynn Nadel,et al.  Encyclopedia of Cognitive Science , 2003 .

[11]  Claudia Soria and Asta Thorleifsdottir eParticipation: The potential of new and emerging technologies , 2007 .

[12]  M. Fletcher,et al.  A Brace of Agent Simulation Scenarios , 2006, IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06).

[13]  Joshua M. Epstein,et al.  Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity) , 2007 .

[14]  John H. Miller,et al.  Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity) , 2007 .

[15]  Steven Johnson,et al.  Emergence: The Connected Lives of Ants, Brains, Cities, and Software , 2001 .

[16]  John H. Miller,et al.  Complex adaptive systems - an introduction to computational models of social life , 2009, Princeton studies in complexity.

[17]  Hans Jochen Scholl,et al.  Siblings of a Different Kind: E-Government and E-Commerce , 2010, EGOV.

[18]  John H. Holland,et al.  Emergence. , 1997, Philosophica.

[19]  David Colander,et al.  The Complexity Vision and the Teaching of Economics , 2000 .

[20]  Ingvar Strid,et al.  Block Kalman Filtering for Large-Scale DSGE Models , 2009 .

[21]  John M. Carroll,et al.  Scenario-based design: envisioning work and technology in system development: john wiley & sons , 1995 .

[22]  Maria Wimmer,et al.  A holistic approach for providing security solutions in e-government , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[23]  Giovanni Villani,et al.  Valuation of R&D Sequential Exchange Options Using Monte Carlo Approach , 2009 .

[24]  Lawrence R. Klein,et al.  The Use of Econometric Models as a Guide to Economic Policy , 1947 .

[25]  Roland Traunmüller,et al.  Integration - The Next Challenge in e-Government , 2001 .

[26]  Scott Moss,et al.  Competition in Intermediated Markets: Statistical Signatures and Critical Densities , 2001 .

[27]  W. Arthur,et al.  Complexity and the economy , 2014, Science.

[28]  Miriam Cunningham,et al.  Collaboration and the knowledge economy : issues, applications, case studies , 2008 .

[29]  Moshe Levy,et al.  Microscopic Simulation of Financial Markets: From Investor Behavior to Market Phenomena , 2000 .

[30]  Kazi Jalal. The role of united nations economic and social commission for Asia and the Pacific (ESCAP). , 1985 .

[31]  M. Gell-Mann A Theory of Everything. (Book Reviews: The Quark and the Jaguar. Adventures in the Simple and the Complex.) , 1994 .

[32]  W. Arthur,et al.  The Economy as an Evolving Complex System II , 1988 .

[33]  Åke Grönlund,et al.  Ten Years of E-Government: The 'End of History' and New Beginning , 2010, EGOV.

[34]  A. Nowak,et al.  Dynamical Minimalism: Why Less is More in Psychology , 2004, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.

[35]  Bruce Edmonds,et al.  The Power Law and Critical Density in Large Multi Agent Systems , 2000 .

[36]  Robert Tobias,et al.  Evaluation of free Java-libraries for social-scientific agent based simulation , 2004, J. Artif. Soc. Soc. Simul..

[37]  Ilya Prigogine,et al.  Order out of chaos , 1984 .

[38]  Ann Macintosh,et al.  E-participation and Governance: Widening the net , 2005 .

[39]  Jürgen Gausemeier,et al.  Szenario-management : Planen und Führen mit Szenarien , 1995 .

[40]  Nicholas R. Jennings,et al.  Agent-based control systems: Why are they suited to engineering complex systems? , 2003 .