[ecoop-info] IEEE BigData 2021 Call for Workshop Proposals

Tue Apr 13 02:35:25 CEST 2021

*IEEE Big Data 2021 Call for Workshop Proposals*

2021 IEEE International Conference on Big Data (IEEE BigData 2021)
http://bigdataieee.org/BigData2021/

December 15-18, 2021,  Orlando, FL, USA

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The Program Committees of the 2021 IEEE International Conference on Big
Data (IEEE BigData 2021) invite proposals for Workshops.  Selected
workshops will hold a central position within the larger conference, which
will bring together top academic and industrial researchers from all over
the world to exchange cutting edge research ideas in Big Data research,
development and practice.  Within these fields, workshops at Big Data form
crucial focal points for emerging communities and forums for the
examination of new ideas.

Here are a summary of the conferences in the previous years:

 The IEEE Big Data conference series started in 2013 has established
 itself as the top tier research conference in Big Data.

1.     The first conference IEEE Big Data 2013 (
http://bigdataieee.org/BigData2013/ regular paper acceptance  rate: 17.0%) was
held in Santa Clara, CA from Oct 6-9, 2013 with more  than  400 registered
participants from 40 countries.

2.     The IEEE Big Data 2014 (http://bigdataieee.org/BigData2014/, regular
paper  acceptance rate: 18.5.0%) was held in Washington DC,  Oct 27-30,
2014 with  more than 600 registered participants from 45 countries.

3.     The IEEE Big Data 2015 (http://bigdataieee.org/BigData2015/ ,
regular paper acceptance rate: 16.8%) was held in Santa Clara, Oct 29-Nov
1, 2015 with more than 780 registered participants from 49 countries.

4.     The IEEE Big Data 2016 ( http://bigdataieee.org/BigData2016/ ,
regular paper acceptance rate: 18.7%) was held in Washington DC, Dec 5-8,
2016 with close to 900 registered participants from 43 countries.

5.     The IEEE Big Data 2017 (  http://bigdataieee.org/BigData2017/,
regular paper acceptance rate: 17.8%) was held in Boston, MA, Dec 11-14,
2017 with close to 1000 registered participants from 50 countries.

6.     The IEEE Big Data 2018 (  http://bigdataieee.org/BigData2018/ ,
regular paper acceptance rate: 19.7%) was held in Seattle, WA, Dec 10-13,
2018 with close to 1100 registered participants from 47 countries.

7.     The IEEE Big Data 2019 ( http://bigdataieee.org/BigData2019/ ,
regular paper acceptance rate: 18.7%) was held in Los Angeles, CA, Dec
9-12, 2019 with close to 1200 registered participants from 54 countries.

8.     The IEEE Big Data 2020 ( http://bigdataieee.org/BigData2020/ ,
regular paper acceptance rate: 15.7%) was held online, Dec 10-13, 2020 with
close to 1100 registered participants from 50 countries

The 2021 IEEE International Conference on Big Data (IEEE BigData 2021) will
continue the success of the previous IEEE Big Data conferences. It will
provide a leading forum for disseminating the latest research in Big Data
Research, Development, and Applications.

Workshop organizers will be responsible for advertising the workshop,
forming the program committees, reviewing and selecting the papers, and
guaranteeing a high quality worthy of the prestige and breadth of the
Conference.  All papers accepted for workshops will be included in the
Workshop Proceedings published by the IEEE Computer Society Press, made
available at the Conference.

The workshop organizers will also have the discretion of editing selected
papers (after their expansion and revision) into books or special journal
issues.  Workshops should cover at least a single session (6 regular
papers). The workshop organizers should ensure registration and presence of
  authors of accepted papers.

*Workshop Topics*

Each workshop subject will focus on new research challenges and initiatives
in Big Data.  The workshops should provide an informal and vibrant forum
for researchers and industry practitioners to share their research results
and practical development experiences in Big Data research, development and
practice.  Workshop topics may be narrow, e.g., Clouding Computing/Grid
Computing/Stream Computing for Big Data; Big Data stream Mining, Big Graph
Data Mining,   or broad, e.g., Big Data Foundations , Big Data management,
Big Data Mining and Searching, Big Data Privacy and Security,
Hardware/OS Acceleration
for Big Data, Big Data Application,  etc (Pls refer to the IEEE Big Data
2021 http://bigdataieee.org/BigData2021/ for more possible workshop
topics). Prospective workshop organizers are encouraged to contact workshop
chairs for feedback.

*Important Dates*
April 25, 2021 Workshop proposal submission due - submit to:

https://wi-lab.com/cyberchair/2021/bigdata21/scripts/submit.php?subarea=ProW

May 5, 2021: Notification to workshop proposers
June 5, 2021: Each workshop organizer sends out Call for Workshops Papers

*Guidelines for Workshop Proposals*

Proposals for 2021 IEEE Big Data Workshops should contain the following
components.

1. Workshop Title (e.g., Visualization and Analytics for Big Data)

2. Introduction to workshop (a few sentences about the background,
importance, purpose, interests, etc. of workshop)

3. Research topics included in the workshop (list a number of interesting
topics or areas covered by workshop)

4. Important dates (These dates are for your reference except the
Camera-ready submission date,

Please do not change the camera-ready date)

*Oct 1, 2021:* Due date for full workshop papers submission
*Nov 1, 2021:* Notification of paper acceptance to authors

*Nov 20, 2021:* Camera-ready of accepted papers
*Dec 15-18   2021:* Workshops

5. Program Chairs or co-chairs: (1-3 experts in the research areas of
workshop)

6. Program Committee Members: (at least 5 experts in the research areas)

7. Invited keynote speakers (optional)

*Workshop Proposal Submission:*

https://wi-lab.com/cyberchair/2021/bigdata21/scripts/submit.php?subarea=ProW

*Workshop Co-Chairs*

Shirui Pan, Monash University, Australia, shirui.pan at monash.edu

Vagelis Papalexakis, Univ. of California at Riverside, USA,
epapalex at cs.ucr.edu

Jianwu Wang, Univ. of Maryland at Baltimore County, USA,  jianwu@ umbc.edu

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