July 29 to August 9, 2019
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| Photo by Sérgio Andrade |
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| Photo by Sérgio Andrade |
The São Paulo School of Advanced Science on Learning from Data, supported by the São Paulo School of Advanced Science Program at FAPESP and organized by Institute of Mathematics and Statistics of the University of Sao Paulo (USP), is taking place from July 29th to August 9th at USP, at its International Diffusion Center (“Centro de Difusão Internacional-CDI").
The School is offering, through ten advanced courses and invited talks, an integrated and in-depth view of fundamentals, technologies and applications in Data Science for researchers, post-doctoral fellows and graduate students. More specifically, the School will cover a set of topics that include: fundamentals of extracting information from data (i.e. machine learning and pattern recognition), fundamentals of databases and high-performance computing. Additional topics include applications of data science techniques to real problems in Astronomy, Economics, Genetics and Image Processing. The School will also have panels with top researchers and a session with lightning talks from the attendees.
For any questions or doubts, please send an e-mail to spsas-learning-from-data@usp.br, with subject “Sao Paulo Advanced School on Learning from Data – question.
Short Courses
Fundamentals of extracting information from data, machine learning, pattern recognition, fundamentals of databases and high-performance computing, as well as applications of data science to real problems.
Lectures
Specific issues on learning from data, information retrieval, data science, open science and big data.
Visionary talk: Math, Data Science and Social Impact
Discussions and reflections about the impact of mathemathical fundamentals on data science based on concrete challenges and perspectives for social good.
One-minute lightning talks
School participants will present their research using the "one minute strategy". This session will provide the opportunity for attendees to interact with each other and present their work to a large audience.
Research Infrastructure at USP
Presentation of visionary data science activities and research infrastructure at USP.
Networking and Social activities
Attendees and guest speakers will have ample opportunity to interact and share experiences in a non-formal environment. Two musical presentations are scheduled as part of the social activities.