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BigDat 2020 Autumn: early registration June 2
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7th INTERNATIONAL SCHOOL ON BIG DATA
BigDat 2020 Autumn
Beersheba, Israel
October 25-29, 2020
Co-organized by:
Ben-Gurion University of the Negev
Department of Software and Information Systems Engineering
Data Science Research Center
Institute for Research Development, Training and Advice (IRDTA)
Brussels / London
https://irdta.eu/bigdat2020a/
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--- Early registration deadline: June 2, 2020 ---
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SCOPE:
BigDat 2020 Autumn 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, medicine,
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, security and
privacy, and applications (to biological and health sciences, to
business, finance and transportation, to online social networks,
etc.). Major challenges of analytics, management and storage of
big data will be identified through 24 four-hour and a half
courses, 2 keynote lectures and 1 round table, which will tackle
the most active and promising topics. The organizers are convinced
that outstanding speakers will attract the brightest and most
motivated students. Interaction will be a main component of the
event.
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 recruitment profiles.
ADDRESSED TO:
Master's students, PhD students, postdocs, and industry
practitioners will be typical profiles of participants. However,
there are no formal pre-requisites for attendance in terms of
academic degrees. Since there will be a variety of levels,
specific knowledge background may be assumed for some of the
courses. Overall, BigDat 2020 Autumn 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 and discuss with major researchers, industry
leaders and innovators.
VENUE:
BigDat 2020 Autumn will take place in Beersheba, the largest city
in the Negev desert of southern Israel and an important technology
center. The venue will be:
Ben-Gurion University of the Negev
Marcus Family Campus
https://in.bgu.ac.il/en/Pages/interactive.aspx
STRUCTURE:
3 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.
KEYNOTE SPEAKERS:
tba
PROFESSORS AND COURSES: (to be completed)
Paolo Addesso (University of Salerno), [introductory/intermediate]
Data Fusion for Remotely Sensed Data
Thomas Bäck & Hao Wang (Leiden University),
[introductory/intermediate] Data Driven Modeling and Optimization
for Industrial Applications
Paul Bliese (University of South Carolina),
[introductory/intermediate] Using R for Mixed-effects (Multilevel)
Models
Altan Cakir (Istanbul Technical University), [intermediate] Big
Data Analytics with Apache Spark
Edward Chang (Stanford University), [intermediate] Artificial
Intelligence for Disease Diagnosis and Precision Surgery
Michael X. Cohen (Radboud University Nijmegen), [introductory]
Dimension Explosion and Dimension Reduction in Brain Electrical
Activity
Ian Fisk (Flatiron Institute), [introductory] The Infrastructure
to Support Data Science
Michael Freeman (University of Washington), [intermediate]
Interactive Data Visualization Using D3 + Observable
David Gerbing (Portland State University), [introductory] Derive
Meaning from Data with R Visualizations
Yifan Hu (Yahoo Research), [introductory/advanced] Data
Visualization and Machine Learning
Wagner A. Kamakura (Rice University), [intermediate] Advanced
Business Analytics using Excel Addins
Ravi Kumar (Google), [intermediate/advanced] Clustering for Big
Data
Victor O.K. Li (University of Hong Kong), [intermediate] Deep
Learning and Applications
Panos Pardalos (University of Florida), [intermediate/advanced]
Optimization and Data Sciences Techniques for Large Networks
Valeriu Predoi (University of Reading), [introductory] A
Beginner's Guide to Big Data Analysis: How to Connect Scientific
Software Development with Real World Problems
Alexandre Vaniachine (VirtualHealth), [intermediate] Open-source
Columnar Databases
Sebastián Ventura (University of Córdoba), [intermediate/advanced]
Supervised Descriptive Pattern Mining
Xiaowei Xu (University of Arkansas, Little Rock),
[introductory/advanced] Deep Learning for Text 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
david@irdta.eu by October 17, 2020.
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
participating in the demonstration must register for the event.
Expressions of interest have to be submitted to
david@irdta.eu by
October 17, 2020.
EMPLOYER SESSION:
Firms 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
company 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
david@irdta.eu by October 17, 2020.
ORGANIZING COMMITTEE:
Stavi Baram (Beersheba)
Mark Last (Beersheba)
Carlos Martín-Vide (Tarragona, program chair)
Sara Morales (Brussels)
Manuel J. Parra-Royón (Granada)
Lior Rokach (Beersheba, co-chair)
Bracha Shapira (Beersheba, co-chair)
David Silva (London, co-chair)
REGISTRATION:
It has to be done at
https://irdta.eu/bigdat2020a/registration/
The selection of up to 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.
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 is 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.
Refunding of registration fees will not be possible. However, an
exception will be made in case the event must be postponed due to
the continuation of the coronavirus crisis in Autumn (which is a
scenario the organizers do not expect).
ACCOMMODATION:
Suggestions for accommodation will be available in due time.
CERTIFICATE:
A certificate of successful participation in the event will be
delivered indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
david@irdta.eu
ACKNOWLEDGMENTS:
Ben-Gurion University of the Negev
Institute for Research Development, Training and Advice (IRDTA) –
Brussels/London