Emanuele Massaro, Ph.D.
- Senior Scientist - HERUS Lab - École Polytechnique Fédérale de Lausanne (EFPL)
- Data Scientist - ISI Foundation - Turin, Italy
- Network Science and Computational Epidemiology
- Big Data Analytics and Machine Learning
- Modeling Socio-Technical Systems
- Postdoctoral Fellow - SENSEable City Lab - Massachusetts Institute of Technology (2015-2017)
- Postdoctoral Associate - Carnegie Mellon University (2014-2015)
- Contractor - Risk and Decision Science Team - Army Corps of Engineer (2014-2015)
- E. Massaro, A. Ganin, N. Perra, I. Linkov and A. Vespignani, Resilience management during large-scale epidemic outbreaks, Nature Scientific Reports 8, 1859 (2018)
- A. A. Ganin, E. Massaro, A. Gutfraind, N. Steen, J. M. Keisler, A. Kott, R. Mangoubi, and I. Linkov. Operational resilience: concepts, design and analysis, Nature Scientific Reports 6, 19540 (2016)
- E. Massaro and F. Bagnoli, Epidemic spreading and risk perception in multiplex networks: a self-organized percolation method, Phys. Rev. E 90, 052817, (2014)
- E. Massaro, F. Bagnoli, A. Guazzini and P. Liò. Information dynamics algorithm for detecting communities in networks. Communications in Nonlinear Science and Numerical Simulation, 17(11): 4294 – 4303, (2012)
- B. Behooroz, E. Massaro, I. Bojic, S. Sobolevsky and C. Ratti, Socioeconomic characterization of regions through the lens of individual financial transactions, PLoS ONE 12(11): e0187031 (2017)
- S. Sobolevsky, E. Massaro, I. Bojic, J.M. Arias, C. Ratti. Predicting Regional Economic Indices Using Big Data Of Individual Bank Card Transactions, 2017 IEEE International Conference on Big Data, pp. 1313-1318 (2017)
- E. Massaro, C. Ahn, R. Stahlman, A. Lamprecht, M. Rhoeder, M. Huber, P. Santi, and C. Ratti, The Car As an Ambient Sensing Platform, Proceedings of the IEEE 105(1), pp 3-7, (2017)
- M. Claudel, E. Massaro, F. E. Murray and C. Ratti, An exploration of collaborative scientific production at MIT through spatial organization and institutional affiliation, PLoS ONE 12(6): e0179334, (2017)
Assessing the impact to disease outbreaks is a difficult endeavour. We need to consider not only the individuals’ risk to acquire the disease, the incidence and prevalence of the disease, its severity and long-term impact on the health of the population but many other aspects that characterize the impact of an epidemic, such as services disruption, economic crisis and social conflicts.
Over the past few years, cars have been transformed from the kinds of mechanical systems Henry Ford might have imagined into veritable computers on wheels, filled with thousands of sensors. We asked the question: what could we extract from this wealth of information? Could we use it to better understand how drivers make decisions, and to improve overall safety on the roads and in our cities?
Building resilience into today’s complex infrastructures is critical to the daily functioning of society and its ability to withstand and recover from natural disasters, epidemics, and cyber-threats. This project proposes quantitative measures that capture and implement the definition of engineering resilience advanced by the National Academy of Sciences.
Academic research is increasingly cross-disciplinary and collaborative, between and within institutions. In this context, what is the role and relevance of an individual’s spatial position on a campus? We examine the collaboration patterns of faculty at the Massachusetts Institute of Technology, through their academic output. These insights contribute an architectural dimension to the field of scientometrics.
Urban Lens explores millions of anonymized financial transactions in Spain based on data provided by BBVA. The data provides an opportunity to uncover macro trends derived from a fine-grained scale of individual economic behavior. This project performs a comparative analysis of city microeconomics, aiming to elucidate how bigger economic patterns could be understood utilizing data of individual economic transactions.
In the Recognition project we are looking for innovative ways to autonomously provide and manage content relevant to the individual user. The project is inspired by the cognitive processes that humans exhibit for self-awareness. Examples include the heuristics and cues that we subconsciously everyday for rapid decision making and negotiating conflicting signals in physical and social situations.