A more detailed list with all the publications of each member of the unit can be found on the profile pages under the tab Team. The following list contains only a selection of recent publications by the unit.
New Special Issue of the journal Quality & Quantity - International Journal of Methodology with participation of the uni published: "Voinea, C. F., Neumann M. (2020): Interdisciplinary Approaches in Political Culture Research Methodology, in: Quality & Quantity Vol. 54 / Issue 2 (Special Issue)."
New article of the unit published by the journal Kriminologie - Das Online-Journal: "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.
New article of the unit published by the journal NATURE: Squazzoni, F., Ahrweiler, P., Barros, T. Bianchi, F. et al. (2020): Unlock ways to share data on peer review. Nature, vol. 578, 512-514.
New article of the unit published in the edited volume The Routledge Companion to Innovation Management: "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."
New contribution of the unit in the third issue of the Science Policy Papers organized by the Mercator Foundation published: Frank, D. and Ahrweiler, P.: The Future of Artificial Intelligence: Policy Research Perspectives (2018). The contribution in the volume Whither Artificial Intelligence? Debating the Policy Challenges of the Upcoming Transformation deals with the impact of AI on policy research in the near future.
New article of our unit published by the Journal of Responsible Innovation: "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."