[SEM-GRD] IEEE BigData 2020 Call for BigData Cup Challenges Proposals

[CFP Conference]

*2020 IEEE Big Data Cup*

http://bigdataieee.org/BigData2020/



We invite industrial, government, and academic organizations to submit
proposals to organize a Data Challenge for the 2020 IEEE International
Conference on Big Data (IEEE BigData 2020, (
http://cci.drexel.edu/bigdata/bigdata2020/index.html
<http://cci.drexel.edu/bigdata/bigdata2019/index.html> ) . Data Challenges
are analytics and programming contests based on datasets released by the
organizations sponsoring the competitions. These contests will run for
several months, with winners announced in the IEEE BigData 2020  in
December 10-13, 2020 at Atlanta, GA, USA.



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.







Strong proposals will release interesting and novel datasets to the
participants and propose tasks that are challenging, yet achievable within
the expected timeline. To encourage broad participation in the challenge
competition, tasks and data should be made publicly accessible where
possible.



We will consider topics from (but not limited to) the following big data
application domains:

●      Mobility

●      Health and wellness

●      Finance

●      Advanced manufacturing

●      Retail and e-commerce

●      Smart City and Community

●      Blockchain Technology

●      Transportation and autonomous driving





The Challenges involve a released dataset and a well-defined problem with
clear evaluation metrics. The challenges run on a data competition platform
(e.g., Kaggle) that maintains a leaderboard for the participants. Final
winners are selected based on their standing on the leaderboard, and a
6-page report describing their algorithms and results. There will be a
workshop in the IEEE BigData 2020 conference in which the invited teams
will be able to present their solution.



*Tentative Competition Timeline. *



Step 1 - Solicitation of big data problems/topics, March 31, 2020

Step 2 - Proposal evaluation and selection of topics/problems, April 10,
2020

Step 3 - Data Release, Platform setup and solicitation of challenge
participants, April 25, 2020

Step 4 -  Deadline for contest teams to submit letter of intent, June 5,
2020

Step 5 - Deadline for contest teams to submit final report and solutions,
November 5, 2020

Step 6 - Announcement of winning teams, Nov 20, 2020



*Data Challenge Proposal Format*

Proposals should answer the following questions:



●      Who are the organizers? Provide the names, affiliations, contact
information, and brief bio of the organizers.

●      Which sector does the proposed Data Challenge belong to?

●      What is the dataset to be released? If there are privacy concerns
regarding the data, we advise that the organizers first seek clearance from
the legal department of their organization regarding the dataset release.

●      What prizes will be offered? Note that cash prizes will be shared
between competitors and BigData, to defray the expenses of hosting
demonstrations of the finalists’ submissions at BigData.

●      Do you require source code with submissions?



●      * Challenge Specific Questions:*

●      What are the task and the evaluation metrics?

●      What competition infrastructure will be used? Our default hosting
platform is Kaggle, which may impose fees to be borne by Challenge
organizers. If you prefer to host it on your own infrastructure, specify
the reasons and the resources you can commit for running the competition.



*Deadline for proposal Submission: March 31, 2020. Please submit the
proposal:*

*https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=ProC
<https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=ProC>*



*2020 IEEE Big Data Cup Chair*

*Yicheng Tu, Professor, University of South Florida (**tuy at mail.usf.edu*
<tuy at mail.usf.edu>*) *

*Xingquan Zhu, Professor, Florida Atlantic University (xzhu3 at fau.edu
<xzhu3 at fau.edu>)*

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