Manuel Cebrian

Max Planck Research Group Leader (W2)
Digital Mobilization Research Group
Center for Humans and Machines

Phone: +49 30 82406-758
Email: cebrian@mpib-berlin.mpg.de

Contact: 
Katharina Genz 
Phone:  +49 30 82406-753
Email: genz@mpib-berlin.mpg.de

 

Research interests

• Crowdsourcing
• Computational Social Science
• Network Science

Short CV

• Member of the Board, National Artificial Intelligence Council of the Spanish Government
• Research Scientist Manager, The Media Lab, Massachusetts Institute of Technology
• Principal Research Scientist, Data61, CSIRO
• Assistant Research Scientist, Department of Computer Science and Engineering, University of California, San Diego
• Postdoctoral Associate, Telefonica Research
• Postdoctoral Associate, Department of Computer Science, Brown University
• PhD, Computer Science, 2007, Universidad Autonoma de Madrid

Selected Publications

• Time-critical social mobilization. Science (2011). Covered by: New York Times, MIT News, Science News.
• Limits of social mobilization. Proceedings of the National Academy of Sciences of the USA (2013). 
• Urban characteristics attributable to density-driven tie formation. Nature Communications (2013). Covered by: PNAS, The New York Times, The Atlantic, The Economist, MIT News.
• Epidemic contact tracing via communication traces, PLOS One (2014). Covered by: Max Planck Society, El Pais, Reuters, Die Zeit. 
• Rapid assessment of disaster damage using social media activity. Science Advances (2016). Covered by: Science Magazine, Wall Street Journal, The Washington Post.
• Analyzing gender inequality through large-scale Facebook advertising data. Proceedings of the National Academy of Sciences of the USA (2018). Covered by: Scientific American.
• Inferring mechanisms for global constitutional progress. Nature Human Behaviour (2018). Covered by: Nature News.
• Small cities face greater impact from automation. Journal of the Royal Society Interface (2018). Covered by: MIT Technology Review, New Scientist.
• Cooperating with machines. Nature Communications (2018). Covered by: Science Magazine, MIT Technology Review, Le Monde, Nature, Nature Human Behavior.
• The evolution of citation graphs in artificial intelligence research. Nature Machine Intelligence (2019). 
• Toward understanding the impact of artificial intelligence on labor. Proceedings of the National Academy of Sciences of the USA (2019).
• Machine behaviour. Nature (2020). Covered by: Forbes, MIT Technology Review, Conversations on Machine Behavior
• Universal resilience patterns in labor markets. Nature Communications (2021). Covered by: MIT News. 
• The past, present, and future of digital contact tracing. Nature Electronics (2021). 
• A time-critical crowdsourced computational search for the origins of COVID-19. Nature Electronics (2021). 

For a comprehensive list of publications, check Manuel Cebrian's Google Scholar profile.