Clement Levallois, Lyon (Chair)
Clement Levallois is Assistant Professor at EMLYON Business School. Trained as an economist and historian of science, he turned to computational methods and investigated the nature of neuroeconomics or the history of European cartels. Twitter-wise, he created Umigon, a web app to detect commercial intent in tweets and is currently investigating the nature of protected accounts on Twitter.
Morgane Marchand, Paris
Morgane Marchand is Research Engineer at eXenSa, a highly innovative company which provide machine learning solutions for Big Data. She conducts research in natural language processing, focusing on opinion mining. She participated in the 2013 SemEval competition for sentiment analysis on tweets.
Tiago Mata, London
Tiago Mata is a Lecturer in Science and Technology Studies, University College London and Principal Investigator of the European Research Council Project (2012–2016), 'Economics in the Public Sphere: USA, UK, France, Argentina and Brazil since 1945' (website). He holds a doctoral degree from the Department of Economic History at the London School of Economics, and has taught at the University of Amsterdam and Duke University. He has written on science communication, academic freedom, the economics of science, the history of macroeconomics, and the role of politics in social knowledge.
André Panisson, Turin
André Panisson is a Researcher at the Data Science Laboratory of the Institute for Scientific Interchange in Turin, Italy. He received his PhD in Computer science from the University of Turin (Italy) in February 2012. His PhD thesis, entitled "Selective Information Dissemination for Mobile Computing," was focused on how information can be effectively disseminated within communities of interest in the scope of mobile computing. He received his MSc in Computer Science from the Federal University of Rio Grande do Sul (Brazil) in 2007. His current research focuses on development of tools to facilitate the analysis, modeling, simulation and measurement of complex phenomena in systems that involve technological and social factors, using the concepts of complex networks to investigate activity patterns, communication and emergent properties.