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Center for Decisions, Models, and Data

Models enable us to comprehend the world, infer beyond the data, and ultimately make better decisions.
Tech and human
men at the chackboard
Book on AI and Decision Making
The Financial Times' review of "Framers", co-authored by Prof. Francis de Véricourt

Why humanity is an asset in an age of tech

Financial Times
The United Nations report on research by professors Hüseyin Gürkan and Francis de Véricourt

Examining Dissemination of Information on COVID-19

United Nations - Academic Impact


Human Advantage in an Age of Technology and Turmoil

by Kenneth Cukier, Viktor Mayer-Schönberger, and Francis de Véricourt
The Economist reports on Prof. Martin Schweinsberg's research

Data don’t lie, but they can lead scientists to opposite conclusions

The Economist

The DMD center enables interdisciplinary research on models, be they mathematical representations, mental models, or other frameworks, to help leaders and their organizations better interpret data, uncover new possibilities and improve their decision making. Our approach draws from fields as diverse as data science, analytics, cognitive psychology, sociology, and economics.

The abundance of data and the increasing adoption of intelligent machines raise questions about the future role of human-based decisions in organizations. At the same time, the profound crises the world is experiencing today have highlighted the limits of data-driven predictions and the need to decide even when data are scarce.  

The DMD center is based on the fundamental premise that human decision makers are most effective when they properly leverage their unique ability to model and represent the world. These models enable inferences beyond the data and reveal new courses of action in a way that machines cannot.  The DMD center explores how individuals and organizations can create and apply better models, and how data-driven technologies complement – or hinder – humans’ ability to represent.

Core areas

Human decisions in the age of artificial intelligence

Deciding under data scarcity, leading into the unknown

Governance and responsible analytics

Disruptive models and open innovations

Steering committee

Francis de Véricourt

Professor of Management Science and President's Chair, ESMT Berlin

Center for Decisions, Models, and Data (DMD-Center) 


Gianluca Carnabuci

Professor of Organizational Behavior and Ingrid and Manfred Gentz Chair in Business and Society




Henry Sauermann

Professor of Strategy, POK Pühringer PS Chair in Entrepreneurship



Feedback in the digital age: When do people trust machine-generated feedback more than feedback provided by humans? 

Gianluca Carnabuci

Linus Dahlander

Do machine-based prescriptions affect the mental mindset of decision makers? 

Francis  de Véricourt

Martin Schweinsberg

Human and machine: The impact of machine input on decision making under limited attention 

Caner Canyakmaz

Tamer Boyaci

Francis  de Véricourt


People analytics in the digital age: Modeling men’s and women’s career paths through machine learning

Jan Nimczik

Gianluca Carnabuci

Min Liu

Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis

July 19, 2021 | Journal Article
Martin Schweinsberg, Michael Feldman, Nicola Staub, Olmo R. van der Akker, Robbie C.M. van Aert, Marcel A.L.M. van Assen, Yang Liu et al. (2021)

Framers: Human advantage in an age of technology and turmoil

May 13, 2021 | Book
Kenneth Cukier, Viktor Mayer-Schönberger, Francis de Véricourt (2021)

Warning against recurring risks: An information design approach

October 15, 2020 | Journal Article
2018 Best Paper Award
Saed Alizamir, Francis de Véricourt, Shouqiang Wang (2020)
Get in touch

Schlossplatz 1, 10178 Berlin, Germany