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7th INTERNATIONAL SCHOOL ON BIG DATA
BigDat 2023 Summer
Las Palmas de Gran Canaria, Spain
July 17-21, 2023
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbigdat.irdta.eu%2F2023su&data=05%7C01%7Cuai%40engr.orst.edu%7C287b334b148d47dbc3de08db2dcd5f89%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638154132318812489%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=NDyn4BXXwstUgzNSuFH9Wzw3dt2KUG02WMI2SquEGeQ%3D&reserved=0
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Co-organized by:
University of Las Palmas de Gran Canaria
Institute for Research Development, Training and Advice - IRDTA
Brussels/London
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Early registration: April 2, 2023
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FRAMEWORK:
BigDat 2023 Summer is part of a multi-event called Deep&Big 2023 consisting
also of DeepLearn 2023 Summer. BigDat 2023 Summer participants will have the
opportunity to attend lectures in the program of DeepLearn 2023 Summer as well
if they are interested.
SCOPE:
BigDat 2023 Summer will be a research training event with a global scope aiming
at updating participants on the most recent advances in the critical and fast
developing area of big data. Previous events were held in Tarragona, Bilbao,
Bari, Timisoara, Cambridge and Ancona.
Big data is a broad field covering a large spectrum of current exciting
research and industrial innovation with an extraordinary potential for a huge
impact on scientific discoveries, health, engineering, business models, and
society itself. Renowned academics and industry pioneers will lecture and share
their views with the audience.
Most big data subareas will be displayed, namely foundations, infrastructure,
management, search and mining, analytics, security and privacy, as well as
applications to biology and medicine, business, finance, transportation, online
social networks, etc. Major challenges of analytics, management and storage of
big data will be identified through 14 four-hour and a half courses and 2
keynote lectures, which will tackle the most active and promising topics. The
organizers are convinced that outstanding speakers will attract the brightest
and most motivated students. Face to face interaction and networking will be
main ingredients of the event. It will be also possible to fully participate in
vivo remotely.
An open session will give participants the opportunity to present their own
work in progress in 5 minutes. Moreover, there will be two special sessions
with industrial and employment profiles.
ADDRESSED TO:
Graduate students, postgraduate students and industry practitioners will be
typical profiles of participants. However, there are no formal pre-requisites
for attendance in terms of academic degrees, so people less or more advanced in
their career will be welcome as well. Since there will be a variety of levels,
specific knowledge background may be assumed for some of the courses. Overall,
BigDat 2023 Summer is addressed to students, researchers and practitioners who
want to keep themselves updated about recent developments and future trends.
All will surely find it fruitful to listen to and discuss with major
researchers, industry leaders and innovators.
VENUE:
BigDat 2023 Summer will take place in Las Palmas de Gran Canaria, on the
Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a
renowned carnival. The venue will be:
Institución Ferial de Canarias
Avenida de la Feria, 1
35012 Las Palmas de Gran Canaria
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.infecar.es%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C287b334b148d47dbc3de08db2dcd5f89%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638154132318812489%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ZPAMB7DfTWF4k4ifUq2jnTFCtqrMLrGlWode5LC4VCc%3D&reserved=0
STRUCTURE:
2 courses will run in parallel during the whole event. Participants will be
able to freely choose the courses they wish to attend as well as to move from
one to another.
Also, if interested, participants will be able to attend courses developed in
DeepLearn 2023 Summer, which will be held in parallel and at the same venue.
Full live online participation will be possible. The organizers highlight,
however, the importance of face to face interaction and networking in this kind
of research training event.
KEYNOTE SPEAKERS:
Valerie Daggett (University of Washington), Dynameomics: From Atomistic
Simulations of All Protein Folds to the Discovery of a New Protein Structure to
the Design of a Diagnostic Test for Alzheimer’s Disease
Sander Klous (University of Amsterdam), How to Audit an Analysis on a
Federative Data Exchange
PROFESSORS AND COURSES:
Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion
for Remotely Sensed Data
Marcelo Bertalmío (Spanish National Research Council), [introductory] The
Standard Model of Vision and Its Limitations: Implications for Imaging, Vision
Science and Artificial Neural Networks
Gianluca Bontempi (Université Libre de Bruxelles), [intermediate/advanced] Big
Data Analytics in Fraud Detection and Churn Prevention: from Prediction to
Causal Inference
Altan Çakir (Istanbul Technical University), [introductory/intermediate]
Introduction to Big Data with Apache Spark
Ian Fisk (Flatiron Institute), [introductory] Setting Up a Facility for Data
Intensive Science Analysis
Ravi Kumar (Google), [intermediate/advanced] Differential Privacy
Wladek Minor (University of Virginia), [introductory/advanced] Big Data in
Biomedical Sciences
José M.F. Moura (Carnegie Mellon University), [introductory/intermediate] Graph
Signal Processing and Geometric Learning
Panos Pardalos (University of Florida), [intermediate/advanced] Data Analytics
for Massive Networks
Ramesh Sharda (Oklahoma State University), [introductory/intermediate]
Network-Based Health Analytics
Steven Skiena (Stony Brook University), [introductory/intermediate] Word and
Graph Embeddings for Machine Learning
Mayte Suarez-Farinas (Icahn School of Medicine at Mount Sinai), [intermediate]
Meta-Analysis Methods for High-Dimensional Data
Ana Trisovic (Harvard University), [introductory/advanced] Principles,
Statistical and Computational Tools for Reproducible Data Science
Sebastián Ventura (University of Córdoba), [intermediate] Supervised
Descriptive Pattern Mining
OPEN SESSION:
An open session will collect 5-minute voluntary presentations of work in
progress by participants. They should submit a half-page abstract containing
the title, authors, and summary of the research to da...@irdta.eu by July 9,
2023.
INDUSTRIAL SESSION:
A session will be devoted to 10-minute demonstrations of practical applications
of big data in industry. Companies interested in contributing are welcome to
submit a 1-page abstract containing the program of the demonstration and the
logistics needed. People in charge of the demonstration must register for the
event. Expressions of interest have to be submitted to da...@irdta.eu by July
9, 2023.
EMPLOYER SESSION:
Organizations searching for personnel well skilled in big data will have a
space reserved for one-to-one contacts. It is recommended to produce a 1-page
.pdf leaflet with a brief description of the organization and the profiles
looked for to be circulated among the participants prior to the event. People
in charge of the search must register for the event. Expressions of interest
have to be submitted to da...@irdta.eu by July 9, 2023.
ORGANIZING COMMITTEE:
Carlos Martín-Vide (Tarragona, program chair)
Sara Morales (Brussels)
David Silva (London, organization chair)
REGISTRATION:
It has to be done at
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbigdat.irdta.eu%2F2023su%2Fregistration%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C287b334b148d47dbc3de08db2dcd5f89%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638154132318812489%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nh7v9BrKa8e4%2BMLK5igMQ%2ByNlhxV8NRkq9t8ixLQwHE%3D&reserved=0
The selection of 8 courses requested in the registration template is only
tentative and non-binding. For the sake of organization, it will be helpful to
have an estimation of the respective demand for each course. During the event,
participants will be free to attend the courses they wish as well as eventually
courses in DeepLearn 2023 Summer.
Since the capacity of the venue is limited, registration requests will be
processed on a first come first served basis. The registration period will be
closed and the on-line registration tool disabled when the capacity of the
venue will have got exhausted. It is highly recommended to register prior to
the event.
FEES:
Fees comprise access to all courses and lunches. There are several early
registration deadlines. Fees depend on the registration deadline.
The fees for on site and for online participation are the same.
ACCOMMODATION:
Accommodation suggestions will be available in due time at
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbigdat.irdta.eu%2F2023su%2Faccommodation%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C287b334b148d47dbc3de08db2dcd5f89%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638154132318812489%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=M5dAmxL261tDXKGF02YdA4RRnE%2B5J6pWmrTFJSj3MxU%3D&reserved=0
CERTIFICATE:
A certificate of successful participation in the event will be delivered
indicating the number of hours of lectures.
Participants will be recognized 2 ECTS credits by University of Las Palmas de
Gran Canaria.
QUESTIONS AND FURTHER INFORMATION:
da...@irdta.eu
ACKNOWLEDGMENTS:
Cabildo de Gran Canaria
Universidad de Las Palmas de Gran Canaria - Fundación Parque Científico
Tecnológico
Universitat Rovira i Virgili
Institute for Research Development, Training and Advice – IRDTA, Brussels/London
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