Here I collect the most recent important news about my work.

Anatol-Rapoport-Prize

posted Oct 9, 2012, 5:39 AM by mmaes123459@googlemail.com   [ updated Nov 6, 2012, 7:44 AM ]

One of our papers was awarded the Anatol-Rapoport-Prize of the section on Model building and social simulation of the German Sociological Association (DGS).

The paper is entitled "In the short term we divide, in the long term we unite: Demographic crisscrossing and the effects of faultlines on subgroup polarization." and has been accepted for publication in Organization Science.

Here you can find a summary of the paper.

You can find more information about the great work of Anatol Rapoport here

Paper accepted in Organization Science

posted Mar 22, 2012, 12:30 PM by mmaes123459@googlemail.com   [ updated Oct 22, 2012, 2:04 AM ]

Organization Science accepted our paper on the effect of demographic faultlines on polarization in work teams. 

Title: In the short term we divide, in the long term we unite: Demographic crisscrossing and the effects of faultlines on subgroup polarization

The paper is coauthored by myself, Andreas Flache, Etty Jehn, and Károly Takács.

The paper is published online ahead of print here.

We would like to thank the anonymous reviews, and the editor of OS for their patience and numerous valuable comments that helped us improve the manuscript. 


Abstract
Do strong demographic faultlines breed opinion polarization in work teams? We integrate two theories that have been used to explain faultline effects. The first, Lau and Murnighan’s approach, suggests that in teams with strong faultlines the mechanisms of homophilious selection of interaction partners and persuasive influence cause subgroup polarization, defined as the split of the team into subgroups holding opposing opinions. The second, from sociological and anthropological traditions, emphasizes that crisscrossing actors bridge faultlines because they share demographic attributes with several subgroups. Demographically crisscrossing actors help to prevent polarization in social groups. We argue that Lau and Murnighan’s theory implicitly factors the effects of crisscrossing actors in. However, we show that the authors overlooked crucial implications of their theory because they did not consider crisscrossing actors explicitly. Most importantly, we demonstrate that demographic crisscrossing implies that even teams with strong faultlines will overcome polarization in the long run, although they might suffer from it in the short term. We develop and analyze a formal computational model of the opinion and network dynamics in work teams to show the consistency of our reasoning with Lau and Murnighans’ theory. The model also revealed another counter-intuitive effect; strong faultlines lead to structures of interaction that make teams with strong faultlines faster in arriving at a stable consensus than teams with weak faultlines. 

I moved to Zurich.

posted Oct 1, 2011, 2:39 AM by mmaes123459@googlemail.com   [ updated Oct 22, 2012, 1:56 AM ]


Since October 1, 2011 I am post-doctoral researcher at the Chair of Sociology, in particular of Modeling and Simulation at ETH Zurich.

Two radio interviews about our work on opinion clustering

posted Jan 19, 2011, 11:56 AM by mmaes123459@googlemail.com   [ updated Oct 22, 2012, 1:56 AM ]

Two German radio stations broadcasted interviews with me and Andreas Flache about our recent work on opinion clustering. 

Click here to listen to Radio Interview on DRadio Wissen (7.1.2010) 

Click here to listen to Radio Interview on radioneins (20.11.2010).

Click here to read the article.

On Monday 15th November 2010, I defended my dissertation.

posted Jan 19, 2011, 9:47 AM by mmaes123459@googlemail.com   [ updated Mar 23, 2011, 7:20 AM ]


This book is concerned with explaining the dynamics that social influence causes in groups. Under what conditions will the members of a group find a consensus? Under what conditions will initial opinion differences persist? Is opinion consensus always stable, or can homogeneous groups split up into clusters with opposing opinions? Is it possible that groups polarize in the sense that differences between subgroups will increase over time?

Existing social-influence theories imply that social influence causes convergence cascades which eventually end up with perfect uniformity. Empirical evidence, on the other hand, does not confirm these convergence tendencies. On the contrary, opinion diversity often remains stable and can actually increase over time.

In this book, we developed theories that can explain polarization and clustering of opinions besides social influence. We analyzed agent-based computational models of these theories to demonstrate under which conditions the theories predict polarization and clustering. We also report results from experimental tests of one of the theories.
 
You can download a pdf of the book below. 





Paper published in PLoS Computational Biology

posted Jan 19, 2011, 9:42 AM by mmaes123459@googlemail.com   [ updated Jan 21, 2011, 3:19 AM ]

Together with Andreas Flache and Dirk Helbing, I published an article in PLoS Computational Biology. Click here to read the article.

Summary:
Modern societies are characterized by a large degree of pluralism in social, political and cultural opinions. In addition, there is evidence that humans tend to form distinct subgroups (clusters), characterized by opinion consensus within the clusters and differences between them. So far, however, formal theories of social influence have difficulty explaining this coexistence of global diversity and opinion clustering. In this study, we identify a missing ingredient that helps to fill this gap: the striving for uniqueness. Besides being influenced by their social environment, individuals also show a desire to hold a unique opinion. Thus, when too many other members of the population hold a similar opinion, individuals tend to adopt an opinion that distinguishes them from others. This notion is rooted in classical sociological theory and is supported by recent empirical research. We develop a computational model of opinion dynamics in human populations and demonstrate that the new model can explain opinion clustering. We conduct simulation experiments to study the conditions of clustering. Based on our results, we discuss preconditions for the persistence of pluralistic societies in a globalizing world.









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