Emanuele Massaro, Ph.D.
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I am a scientist working at the HERUS Lab at the École Polytechnique Fédérale de Lausanne (EFPL). My research interests span the areas of network science, multilayer systems, computational modeling and big data analytics. A common thread in my research is in understanding the theory and quantification of the interplay between physical infrastructures, information and human (social) activity. I received both my Bachelor (2006) and my Master (2009) in Environmental Engineering from the University of Florence. I then received my Ph.D. in Complex Systems and Nonlinear Dynamics in 2014 from the Dept. of Information Engineering and Dept. of Physics and Astronomy at the University of Florence. After defending my PhD thesis, I joined the Dept. of Civil and Environmental Engineering Carnegie Mellon University as a Postdoctoral Associate (March 2014), working jointly with the Risk and Decision Science Team of US Army Corps of Engineer. From 2015 to 2017 I have been employed as a Postdoctoral Research Fellow at the SENSEable City Lab at the Massachusetts Institute of Technology.
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Selected Publications
Network Science, Epidemics and Resilience
Data Science
- 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)
Data Science
- 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)
Projects
Epidemic Modelling
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.
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Car As a Sensing Platform
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?
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Networks Resilience
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.
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MIT Collaboration
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.
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Urban Lens
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.
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Recognition
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.
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