New Publication of the Unit (in Evidence based HRM)

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)"

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New Publication of the Unit (in Quality & Quantity)

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)."

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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.

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New Publication of the Unit

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."

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