Welcome

I am an associate professor at The Institute for Analytical Sociology (IAS) in Sweden.

My work centers around how people form beliefs to guide their choices (e.g. to select a worthwhile book, to break only irregularly sanctioned rules) and how these behaviors interact to bring about often hard-to-predict collective outcomes (e.g. the emergence of bestsellers, normative change).

I ground my research on statistical modeling, online data, social experiments, and computer simulation. With this toolkit, I work in three substantial areas:

social dynamics, norms, and inequality

My articles received the Robert-K-Merton-Award (2017), the Karl-Polanyi-Award (2016), and the Anatol-Rapoport-Award (2014). I hold a PhD in sociology from LMU Munich, Germany.


Recent Publications

“Analytical Sociology and Computational Social Science.” Journal of Computational Social Science 1(1):3-14 (2018); with N. Lovsjö, and P. Hedström.

“Social Influence Strengthens Crowd Wisdom Under Voting.” Advances in Complex Systems, Online First (2018); with C. Ganser.

“Thou Shalt Recycle: How Social Norms of Environmental Protection Narrow the Scope of the Low-Cost Hypothesis.” Environment and Behavior, Online First (2017); with F. Kratz.

“Is Category Spanning Truly Disadvantageous? New Evidence from Primary and Secondary Movie Markets.” Social Forces 96(1):449-79 (2017); with T. Wimmer.

“Crowd Wisdom Relies on Agents’ Ability in Small Groups with a Voting Aggregation Rule.” Management Science 63(3):818-28 (2017); with C. Ganser.

“Using Crowdsourced Online Experiments to Study Context-dependency of Behavior.” Social Science Research 59:68-82 (2016); with F. Bader and J. Bracher.


Perspectives

Being surrounded by computer scientists and statisticians, I believe in the power of social theory. The substantive significance of empirical findings often only emerges through theory as an interpretive lens. We shouldn’t just “find” empirical effects, but unearth the underlying social mechanisms by reference to generalizable theories. Many mechanisms defy disciplinary boundaries. My research thus syndicates concepts, tools, and results also from the neighboring social sciences.

Due to the economy’s decisive role in contemporary societies, I further believe that economic sociology has the capacity to explain a wide range of social phenomena. These relate to topics of general societal relevance such as cities, markets, and networks and are often intertwined with issues of social inequality. My research and teaching takes this explanatory potential into account, reflected also in my co-authoring of a two-volume textbook on economic sociology.

Committed to advancing experiments in sociology, I edited two special issues on experimental methods, headed the Munich Experimental Laboratory from 2015–2017, and served as the principal investigator of a two-year project concerned with the “External Validity of Experiments in Sociology” funded by the German Research Foundation (DFG).

Working at IAS, I became involved in big-data analytics and the emerging field of computational social science. With digital data becoming increasingly abundant, I share the perception that digitalization has profound consequences for the way in which societies function, influencing whom we interact with, the information we receive, the items we consume, and our beliefs and opinions about various social matters.  Sociologists can gain a lot from computational tools, particularly when it comes to the study of social dynamics. Computational social science might even have the potential to advance sociology in a way that the introduction of econometrics advanced economics during the last half century.

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Marc Keuschnigg, Norra Grytsgatan 10, 601 74 Norrköping, Sweden