Neues Special Issue der Zeitschrift Quality & Quantity - International Journal of Methodology unter Mitwirkung des Arbeitsbereichs erschienen: "Voinea, C. F., Neumann M. (2020): Interdisciplinary Approaches in Political Culture Research Methodology, in: Quality & Quantity Vol. 54 / Issue 2 (Special Issue)."
Neuer Artikel des Arbeitsbereichs in der Zeitschrift Kriminologie - Das Online-Journal erschienen: "Neumann, M., Möhring, M. (2020): Rockerbanden: Netzwerke oder Organisationen?, in: Kriminologie - Das Online-Journal Vol. 2 / Issue 1: 63-86."
Computational Models That Matter During a Global Pandemic Outbreak: A Call to Action
The COVID-19 pandemic is causing a dramatic loss of lives worldwide, challenging the sustainability of our health care systems, threatening economic meltdown, and putting pressure on the mental health of individuals (due to social distancing and lock-down measures). The pandemic is also posing severe challenges to the scientific community, with scholars under pressure to respond to policymakers’ demands for advice despite the absence of adequate, trusted data. Understanding the pandemic requires fine-grained data representing specific local conditions and the social reactions of individuals. While experts have built simulation models to estimate disease trajectories that may be enough to guide decision-makers to formulate policy measures to limit the epidemic, they do not cover the full behavioural and social complexity of societies under pandemic crisis. Modelling that has such a large potential impact upon people’s lives is a great responsibility. This paper calls on the scientific community to improve the transparency, access, and rigour of their models. It also calls on stakeholders to improve the rapidity with which data from trusted sources are released to the community (in a fully responsible manner). Responding to the pandemic is a stress test of our collaborative capacity and the social/economic value of research.
Neuer Artikel des Arbeitsbereichs im Sammelband The Routledge Companion to Innovation Management erschienen: "Ahrweiler, P. (2019): Innovation Management Simulations using Agent-Based Modelling, in: Chen, J., Brem, A., Viardot, E., Wong, P. K.:The Routledge Companion to Innovation Management: S. 539-559."
Neuer Beitrag des Arbeitsbereichs in der dritten Ausgabe der Science Policy Papers der Mercator-Stiftung erschienen: Frank, D. and Ahrweiler, P.: The Future of Artificial Intelligence: Policy Research Perspectives (2018). Der Beitrag in dem Band zum Thema Whither Artificial Intelligence? Debating the Policy Challenges of the Upcoming Transformation beschäftigt sich mit dem Einfluss künstlicher Intelligenz auf Politik als Handlungs- und Forschungsfeld in naher Zukunft.
Neuer Artikel des Arbeitsbereichs im Journal of Responsible Innovation erschienen: "Ahrweiler, P., Gilbert, N., Schrempf, B., Grimpe, B. und M. Jirotka (2018): The Role of Civil Society Organisations in European Responsible Research and Innovation. Journal of Responsible Innovation Vol. 6 / Issue 1: 25-49."
Neuer Artikel des Arbeitsbereichs in der Zeitschrift Journal of Artificial Societies and Social Simulation erschienen: Gilbert, N., Ahrweiler, P., Barbrook-Johnson, P., Narasimhan, K. und Wilkinson, H. (2018): Computational Modelling of Public Policy: Reflections on Practice, in: Journal of Artificial Societies and Social Simulation JASSS 21 (1), 14.
