[ecoop-info] IEEE BigData 2021 Call for Participation

[CFP Conference]

*2021 IEEE International Conference on Big Data (IEEE BigData 2021)
(http://bigdataieee.org/BigData2021/index.html
<http://bigdataieee.org/BigData2021/index.html>)*

* Dec 15-18,  2021 **●** Online*

The 2021 IEEE International Conference on Big Data (IEEE Big Data 2021)
will be held online, Dec 15-18, 2021
(*http://bigdataieee.org/BigData2021/index.html
<http://bigdataieee.org/BigData2021/index.html>)  *due to the COVID-19
pandemic situation, we would like to invite you to join  this exciting
event. We will have a very high quality program. The highlights of the IEEE
Big Data 2021 program are summarized as below

(1)   High quality technical program:  97 regular papers selected from 486 full
paper submissions from 1878 authors and co-authors of 48 countries.  (IEEE
Big Data is a top-tier conference, regular paper acceptance rate has been
less than 20% since its inception).

https://bigdataieee.org/BigData2021/Main_program_tentative.pdf

(2)   4 confirmed keynote speeches by leading experts
http://bigdataieee.org/BigData2020/KeynoteSpeech.html
·       Prof. *Volker Marki*: Database Systems and Information Management –
Trends and a Vision ·       Prof. Jian Pei: Towards Trustworthy Data Science
·       Prof. Dawn Song: Building towards a Responsible Data Economy ·
Prof. Peter Stone: Machine Learning for Robot Locomotion: Grounded
Simulation Learning and Adaptive Planner Parameter Learning



(3)   IEEE Big Data 2021 Industry and Government program. 7 full session
presentations,   all the talks and discussions reflect perspectives from
industry on how to address challenging big data issues relevant to
industrial settings.

(4)   BigData Cup Challenges

https://bigdataieee.org/BigData2021/BigDataCupChallenges.html



(5)   41 workshops cover many emerging new research directions in big data
https://bigdataieee.org/BigData2021/Workshops.html

(6)   9 Tutorials, poster program etc.
https://bigdataieee.org/BigData2021/Tutorials.html
·       Optimization Meets Reinforcement Learning" ·       Peer Review at
Scale: Challenges and Opportunities" ·       Network Science: Network
analysis and network optimization to solve complex problems in the big data
era" ·       Web Stream Processing with RSP4J: A Big Data Perspective" ·
Big Data Cleaning: Method Overview and Challenges" ·       Interactive
Demonstrations and Research Use of the net.science Cyberinfrastructure for
Network Science" ·       Healthcare Big Data Analytics for COVID-19
Challenges: Digital Contact Tracing and Infodemic Management" ·       Community
Detection: From Statistical Modeling to Deep Representation" ·       Making
Sense of The Internet of Things: The Big Data Perspective"



Please register at

*https://web.cvent.com/event/122a6d98-2b39-4b98-9536-6680548b454f/
<https://web.cvent.com/event/122a6d98-2b39-4b98-9536-6680548b454f/> *

The regular registration package includes the conference proceedings and
all the technical presentations (keynote, paper presentations , tutorials,
posters, workshops.

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