Francisco Lupiañez-Villanueva is professor at Universitat Oberta de Catalunya’s School of Information and Communication Science and co-founder of Open Evidence, a research and consulting firm working on social and behavioural sciences, ICTs and data science to facilitate informed decision-making in a wide variety of areas. A PhD in Information and Knowledge Society from the Universitat Oberta de Catalunya’s Internet Interdisciplinary Institute (IN3), Francisco’s teaching areas at the School of Information and Communication Science are related to the Network Society (Information Policies, Information Society, Network Society and New Media). His research is about social, economic, cultural and policy issues associated with information and communication technologies with a focus on Innovative Technologies, Networked Citizens, eGovernment, eHealth, and eInclusion. Prior to his current role at the Universitat Oberta de Catalunya, Francisco was Scientific Officer within the Information Society Unit at the European Commission and Director General of the JRC Institute for Prospective Technological Studies, working on the economic evaluation and modelling of Personal Health Systems.
Artificial intelligence (AI) and machine learning are revolutionizing our daily lives. Algorithms are increasingly embedded in many devices surrounding us and following us wherever we go. Even in our sleep, data can be streamed from various sensors and analyzed to wake us up at the optimal time. While some industries - such as finance, retail and manufacturing - have already made great progress in putting these algorithms to work, we’re now only starting to witness success stories emerging from the healthcare industry as well. This session will present 3 use cases demonstrating the impact of AI and machine-learning in real-world clinical settings and share the lessons learned from their implementation processes. This session will also encourage an interactive exchange of innovative ideas and best practices.