ZiF Research Group

Genetic and Social Causes of Life Chances

Zur kulturellen Produktivität der Schuld

2015/2016

Convenors: Martin Diewald (Bielefeld, GER), Rainer Riemann (Bielefeld, GER)

Current Events

22 - 23 November
Meeting of the Young ZiF


Das Junge ZiF als Forschungsnetzwerk





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25 - 26 November
ZiF Workshop

Neurolaw: Ways forward for Neuroscience, Justice & Security

Dave van Toor (Bielefeld, GER), Gerben Meynen (Utrecht, NED), Tijs Kooijmans (Tilburg, NED), Tom Douglas (Oxford, GBR)

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4 December
Public Event at the ZiF


Gehirn und Gesellschaft – Eine Analogie


Reimer Kühn (London, GBR)


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The ZiF is Bielefeld University's Institute for Advanced Study and fosters outstanding and innovative interdisciplinary research projects. The ZiF is an independent thematically open research institution and is open to scholars from all disciplines and all countries.

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From the Research and Cooperation Groups

Forschungsgruppe

Cognitive Behavior of Humans, Animals, and Machines: Situation Model Perspectives

2019/2020

Recent advances in cognitive neuroscience have given us new insights about likely core components of cognitive behavior that exhibits the striking flexibility and context-sensitivity that we see in humans and many animal species. At the same time, progress in artificial intelligence (AI) and robotics, particularly through deep learning and its connection with other machine learning approaches, along with the availability of sophisticated robots, scenarios and datasets, have opened up new routes for synthesizing intelligent functions. These advances have created a strong basis for a converging and cross-disciplinary challenge: to understand how the emerging functional modules need to be connected in order to enable flexible context-sensitive behavior for both natural cognitive agents as well as for robots to live up to what we would expect from truly intelligent systems.

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Kooperationsgruppe

Statistical Models for Psychological and Linguistic Data

2019/2021

The goal of the cooperation group is to investigate and further develop a series of statistical methods that are now available for (a) the analysis of experimental and psychometric data from psychology and psycholinguistics, (b) the modeling of linguistic distributional data, and, possibly going beyond these domains, (c) the analyses of genome-wide associations. The methods in focus are (generalized) linear mixed models [(G)LMMs], generalized additive (mixed) models [GA(M)Ms], and multivariate (generalized) mixed models [MV(G)MMs]. These statistical methods deal with inferential statistical problems that arise from dependencies between, for example, measures on the same subjects or the same items in psycholinguistic experiments or, again as an example beyond the core domains, the same nucleotides in the genome (i.e., within-unit correlations).

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Kooperationsgruppe

Governance, Incentives, and the Quality of Knowledge

2019/2021

The cooperation group explores the interaction between economic incentives, institutional features, and epistemic aspirations of science. It brings together economics, sociology, and philosophy of science and seeks to investigate, in particular, the interrelatedness between the social conditions under which science operates and the nature and content of the knowledge produced. Major topical areas concern the incentives operative in the scientific community and their impact on the research process, the influence of social and economic demands, as imposed on research by society, on the research outcomes, and strategies for producing practically fruitful, innovative outcomes. The cooperation group traces the interrelation between the social framework, for one, and the cognitive content of the knowledge gained and the procedures of confirmation invoked, for another.

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Kooperationsgruppe

Breaking Confines: Interdisciplinary Model-Building for a Complex World (BreaCon)

2018/2020

Model-building is a methodological centerpiece for addressing the challenges of a complex world. The Breaking Confines (BreaCon) cooperation group is intended to deal with modeling practices by interdisciplinary reflection and exchange. Its participants come from physics, chemistry, biology, computer science, the social sciences, history, and philosophy. They join forces in combining model-building as a central epistemic activity with studies on and analysis of model-building. The envisaged cooperative research process is essentially interdisciplinary in that the migration of models across disciplinary boundaries is pursued.

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Current Publications

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Research Group
Coordinator (m/f/d)
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New Director and Advisory Board Members at the ZiF
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