Dr. Daniela Paolotti has a background in Physics (Bsc, MSc, Ph.D.). She is a Senior Research Scientist at ISI Foundation in Turin, Italy. Her work has a strong interdisciplinary approach. For more than ten years, she has been working on applying tools from complex systems and networks science, applied mathematics, computer science, data science, behavioral sciences to study disease spreading from an epidemiological as well as social point of view. Since 2008, she has been developing and coordinating a Europe-wide network of Web-based platforms for participatory surveillance of Influenza-like Illness. More recently, at ISI she has co-founded a research area devoted to themes related to Data Science and Social Impact.
Non-traditional, digital, large scale data sources and data science tools are increasingly seen as a potential resource for public health. In this talk, I will show some examples of how data science can bring innovation in many aspects of public health practice from disease detection and forecasting to policy making and recommendations.
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