Palestras e Seminários

17/09/2019

16:00

auditório Fernão Stella de Rodrigues Germano (sala 6-001)

Palestrante: Cláudio T. Silva

Responsável: Luis Gustavo Nonato (Este endereço de email está sendo protegido de spambots. Você precisa do JavaScript ativado para vê-lo.)

Salvar atividade no Google Calendar Palestra


While there has always been interest in analyzing sports data, this research area has received
significantly more attention in recent years due to both the recognition of the importance of
objective statistics and the proliferation of available data. New technology is starting to enable
the capture of game play at unprecedented levels of detail, including the tracking of positions of
all players and game events at all times. Instead of being starved for data, analysts now have
access to volumes of highly accurate gameplay data. This data deluge requires the development
of novel visualization and machine learning tools and is leading to major new developments in
sports data science.
In this talk, we will review recent developments in this area and the enabling technologies. We
will also cover our recent work, including the development of the Statcast Baseball Metrics
Engine (BME) and related data science tools and techniques.
This is joint work with Dr. Carlos Dietrich, and many others at NYU and MLB Advanced
Media.


Biography

Cláudio T. Silva is Professor of Computer Science and Data Science at New York University.
His research has focused on data science, visualization, graphics, and geometry processing.
Recently he has been particularly interested in urban and sports applications. He received his BS
in mathematics from Universidade Federal do Ceará, and his MS and PhD in computer science at
SUNY-Stony Brook.
Claudio is a Fellow of the IEEE and has received the IEEE Visualization Technical Achievement
Award. The MLB.com's Statcast player tracking system, which he helped develop, won the
Alpha Award for Best Analytics Innovation/Technology at the 2015 MIT Sloan Sports Analytics
Conference, and more recently a 2018 Technology & Engineering Emmy Award from the
National Academy of Television Arts & Sciences. Our lab’s work has been covered in The New
York Times, The Economist, ESPN, and other major news media.
Claudio’s work has been funded by MLB Advanced Media, the National Science Foundation,
NASA, NVIDIA, Capital One, DOE, the Moore-Sloan Data Science Environment at NYU,
Labex DigiCosme, and an NYU Provost's Global Research Institute (GRI) fellowship.

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