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Speaker: Prof. George S. Djorgovski - Director of the Center for Data Driven Discovery - California Institute of Technology
Abstract: Computing and information technology, and the resulting Big Data revolution, are expanding the scientific method, and profoundly changing the ways science is done. The same applies to essentially every other domain of the human activity. I will discuss how two rapidly developing technologies, Artificial Intelligence (AI) and Extended Reality / Virtual Humans (XR/VH), will be even more transformative. AI will augment our ability to discover new things in the increasingly more complex data, and transition from being a set of tools to an active collaborating entity that will surpass the human cognitive abilities. XR/VH will enable more effective interactions of humans with the other humans, with the data, and with the manifestations of AI.
Short bio: George Djorgoski is Professor at the California Institute of Technology and Director of the Center for Data Driven Discovery. He has achieved international leadership in both astronomy and data science. In astronomy he has made important discoveries such as the fundamental plane of elliptical galaxies, a new type of globular clusters (which are entitled after him), binary quasars, to quote just a few. He also gave fundamental contributions to the understanding of gamma ray bursts and distant quasars. In Data Science he has inspired an entire generation of young reserachers along visionary paths, promoting open access to digital data, a widespread use of machine learning in the analysis of scientific data, the exploitation of virtual worlds for scientific education and for the visualization of complex data, the methodological transfer among different disciplines. He founded the Center for Data Driven Discovery at the California INstitute of Technology. In his scientific career he has authored/co-authored more than 600 widely cited scientific papers. He is a long time collaborator and an inspiration for the Astroinformatics group in Naples and a member of the Steering Committee of the 2 Years Master in Data Sciences.
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