Max Planck Research Group Leader (W2)
Digital Mobilization Research Group
Center for Humans and Machines
Phone: +49 30 82406-758
Phone: +49 30 82406-753
- Computational Social Science
- Network Science
- 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
- 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.