Video recording of the Herrenhäuser Forum of the Volkswagen Foundation "Überwachen – Übernehmen – Überlassen? Der Einsatz Künstlicher Intelligenz in der Pandemiebekämpfung" on the 25th of November 2021 with Prof. Dr. Petra Ahrweiler, Dr. Aljoscha Burchardt, Prof. Dr. Dr. Eric Hilgendorf, Prof. Dr. Judith Simon und Annette Riedel (moderation).
There is a new publication in Quality & Quantity: "Voinea, C., Neumann, M. (2020). Political culture. A theory in search for methodology. An editorial. Quality & Quantity 54(2): 335-360."
An article has been published in Evidence based HRM: "Siebers, Ü., Herath, D., Bardone, E., Farahbakhs, S., Knudes, S., Madsen, J. Mufti, M., Neumann, M., Richards, D., Seri, R., Secchi, D. (2020). On the quest for defining organizational plasticity. Evidence based HRM: a global forum for empirical scholarship (online first)"
An article has been published in Evidence based HRM: "Neumann, M. (2020). From organizing to organizations: a typological scale of human relations management outside the legal world. Evidence based HRM: a global forum for empirical scholarship (online first)"
With participation of the unit a handbook for methods of political science has been published: "Neumann, M., Lorenz, J. (2020) Simulation in der Politiwissenschaft. In: Wagemann, C., Goerres, A., Siewers, M. (Eds.). Handbuch der Methoden der Politikwissenschaft (pp. 595-618). Cham: Springer."
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."
New publication of the unit: Comment from the European Social Simulation Community on the COVID 19 pandemic
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.
The Volkswagen Foundation has funded a new project planning grant with the TISSS Lab: AI Navigation of Complex Social Landscapes (AI NAVI).
AI NAVI will explore if and how Artificial Intelligence is influencing socio-political decision making, contributing to contemporary manifestations of populism around the world. The TISSS Lab at JGU Mainz will lead and coordinate the research efforts of a consortium of interdisciplinary social, cognitive and computer scientists at the Universities of Gießen, Mainz, Newcastle, Surrey and the Deutschen Forschungszentrums für Künstliche Intelligenz to design an innovative, integrated approach to study these complex events.