Program

05/12/2018

 

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.

TitlePresenter
Advances in Kernel Machine LearningStéphane Canu
Big Data Systems and AnalyticsLing Liu
Data Science for Social Good
Raymond T Ng
Deep LearningZhangyang (Atlas) Wang
Computing in the Continuum: Harnessing a Pervasive Data EcosystemManish Parashar
Runtime Data Analytics in Computational ScienceAlvaro Coutinho
Error Estimation for Pattern recognitionUlisses M. Braga Neto
Genomic SciencesJoão Carlos Setubal
Nonparametric Models and Causal Inference in Economics and Social SciencesSergio Pinheiro Firpo
Big data sets in astronomyŽeljko Ivezić

 

Lectures

Specific issues on learning from data, information retrieval, data science, open science and big data.

TitlePresenter
Learning From Data - Evolution and RevolutionYaser Said Abu-Mostafa
Data Engineering and Data Science: A Case Study on Opinion MiningAltigran Soares da Silva
Machine Learning Life-cycle supportFábio Porto
Open Science and Research Data Management - Challenges and PerspectivesClaudia Bauzer Medeiros
How “Big Data” impacted Atmospheric Sciences?Pedro Leite da Silva Dias

 

Schedule

First Week

Day/
Period

July, 29

July, 30

July, 31

Aug, 1st

Aug, 2

Aug, 3

Aug, 4

8-10

Reception
(8h-10h)

Ulisses
Neto

Statistical
Learning

Stéphane Canu
Machine
Learning
(SVM)

Stéphane Canu
Machine
Learning
(SVM)

Stéphane Canu
Machine
Learning
(SVM)

Visiting:
Museums at
USP

Free

10-12h30min

Openning
(10h-11h)

FAPESP
presentation

(11h -11h30min)

Visionaire talk:
Math, Data
Science and
Social Impact


Ling Liu,
Abu-Mostafa,
Stéphane Canu
(11h30min-
12h30min)

Ling Liu
Big Data
Systems
and
Analytics

Ling Liu
Big Data
Systems
and
Analytics

Ling Liu
Big Data
Systems
and
Analytics

Stéphane Canu
Machine
Learning
(SVM)

Visiting:
Museums at
USP

Free

Lunch

14-16

Abu-Mostafa
Learning
From Data -
Evolution and
Revolution

Atlas
Wang

Deep
Learning

Atlas
Wang

Deep
Learning

Atlas
Wang

Deep
Learning

Željko
Ivezić

Data
Science in
Astronomy

Free

Free

16-18

Ulisses
Neto

Statistical
Learning

Ulisses
Neto

Statistical
Learning

Željko
Ivezić

Data
Science in
Astronomy

Željko
Ivezić

Data
Science in
Astronomy

Željko
Ivezić

Data
Science in
Astronomy

Free

Free

18-20

Coquetel
Openning

 

Second Week

Day/
Period

Aug, 5

Aug, 6

Aug, 7

Aug, 8

Aug, 9

8-10

Raymond T Ng
Data for Social
Good

Raymond T Ng
Data for Social
Good

Sergio Firpo
Data Science
Methods in
Economics

João C.
Setubal

Genomic
Sciences

Álvaro Coutinho
Runtime
Data
Analytics

10-12

Raymond T Ng
Data for Social
Good

Sergio Firpo
Data Science
Methods in
Economics

Sergio Firpo
Data Science
Methods in
Economics

João C.
Setubal

Genomic
Sciences

João C.
Setubal

Genomic
Sciences

Lunch

Finishing

14-16

Manish Parashar
Computing
in the
Continuum

Manish Parashar
Computing
in the
Continuum

Manish Parashar
Computing
in the
Continuum

Álvaro Coutinho
Runtime
Data
Analytics

16-17

Altigran
Soares

Data Engineering
and
Data Science

Fabio Porto
Machine Learning
Life-cycle support

Visionaire Data
Science
Initiatives at
USP

One minute lightning
Students

 

17-18

Cláudia
Bauzer
Medeiros

Open Science
and
Research Data
Management

Pedro Dias
How
"Big Data"
impacted
Atmospheric
Sciences?

One minute lightning
Students

One minute lightning
Students

18-20

Social
Interaction

 

Opening SPSAS-learning-from-data 2019  (July 29, 10 – 11h)

Including President at USP (confirmed), President and Director at FAPESP (to be confirmed) and Provosts of Research and Graduate Courses (both confirmed) at USP.
FAPESP Presentation: Prof. Brito Cruz, director at FAPESP, will present the projects and initiatives of FAPESP.

 

Visionary talk: Math, Data Science and Social Impact  (July 29, 11h30min-12h30min)

Discussions and reflections about the impact of mathematical fundamentals on data science based on concrete challenges and perspectives for social good. This section will be coordinated by Junior Barrera and João E. Ferreira including the panelists Ling Liu, Abu-Mostafa and Stéphane Canu.

 

One-minute lightning session for Students

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. This section will be coordinated by Junior Barrera and Joao E. Ferreira including the panelists 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.