Publicado em: 20/05/2013
Seminário no INF sobre “Data Science, Network Science and Something in Between: Data-Driven Investigations of Dynamical Complex Networks”
Dia 24, sexta-feira, às 12h45min, no Auditório Prof. Castilhos, do Instituto de Informática, André Panisson, da ISI Foundation, Institute for Scientific Interchange, Turin, Italy, palestrará sobre “Data Science, Network Science and Something in Between: Data-Driven Investigations of Dynamical Complex Networks”.
Dia: 24/5 – segunda-feira
Horário: 12h45min
Local: Auditório Prof. Castilho – Prédio 43424(72)
Instituto de Informática, UFRGS
Av Bento Gonçalves 9500, Bloco IV
Título: Data Science, Network Science and Something in Between: Data-Driven Investigations of Dynamical Complex Networks
Palestrante : André Panisson
Resumo:
With the increasing use of mobile devices with various sensing technologies and continuously connected to online social networks, we leave behind an increasing amount of digital traces about our daily activities. We are starting to realize that systems that take advantage of this ever growing data supply have the potential to transform the way we live our lives. In this talk, I will focus on the projects carried out in the Data Science Laboratory of the ISI Foundation, which try to introduce a novel, data-driven approach in the investigation of various aspects of human behavior. At ISI Foundation, I was involved in the SocioPatterns project (www.sociopatterns.org), an interdisciplinary research collaboration in which we have developed the SocioPatterns sensing platform to collect datasets on face-to-face contact events between individuals in a variety of contexts, such as conferences, museums, schools and hospitals. Such data is being investigated with the aim of uncovering fundamental patterns in social dynamics and coordinated human activity, focusing on research in the areas of human mobility, opportunistic networks and computational epidemiology. By using established methods from the Network Science field, I will show how to describe some properties of the gathered datasets, in order to reveal interesting similarities and differences of human interaction patterns across contexts
Mini Biografia:
André Panisson has a research position at the Data Science Laboratory of the ISI Foundation, Institute for Scientific Interchange, in Turin, Italy. He received his Ph.D. in Computer science from the University of Turin (Italy) in 2012, and his M.S. 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. He has an extensive experience in the analysis of large-scale datasets from on-line social networks, and he is a developer of the Gephi network analysis software, to which he contributed features for analyzing and visualizing temporal networks and real-time graph streams. He is also is involved in the SocioPatterns project, a social interaction sensing platform that uses wearable proximity sensors to mine the structure and dynamics of face-to-face human contacts in conferences, hospitals and schools.