Conferencia: The future of Science and Business

Los Másteres Universitarios en Bioinformática, Big Data y Nuevas Tecnologías en Informática tienen el placer de invitarles a la conferencia invitada impartida por Michel Dumontier, Distinguished Professor of Data Science, University of Maastricht, que tendrá lugar el próximo jueves 8 de marzo a las 17,30, y cuyo detalle pueden ver a continuación, deseando que sea de su interés.

HORARIO: jueves 8 de marzo de 2018, a las 17:00

LUGAR: Salón de Actos, Facultad de Informática

TÍTULO: "The future of Science and Business"

RESUMEN: Every day we hear about how artificial intelligence is being applied to a broad set of applications with an astounding degree of success. At the heart of this revolution is the use of algorithms capable of learning from increasingly complex data. Use of such algorithms raises a number of questions not only around access and suitability of the data and methods, but also their impact on society. In this talk I will discuss some recent developments in building a social and technological infrastructure for responsible data science, while challenging the audience to address outstanding societal challenges.

PONENTE: Michel Dumontier, Distinguished Professor of Data Science, University of Maastricht. He is an expert in computational methods for knowledge discovery. Dr. Dumontier was previously a professor at the Stanford Center for Biomedical Informatics Research at Stanford University and a professor of Bioinformatics at Carleton University. His research focuses on the development of computational methods for scalable integration and reproducible analysis of FAIR (Findable, Accessible, Interoperable and Reusable) data across scales - from molecules, tissues, organs, individuals, populations to the environment. His group combines semantic web technologies with effective indexing, machine learning and network analysis towards accelerating discovery science, improving health and well being, and strengthening communities.

IDIOMA: inglés

DURACIÓN TOTAL ESTIMADA: 90 minutos