posted by user: comstar || 3764 views || tracked by 4 users: [display]

IEEE Big Data - BDA COVID 2021 : IEEE Big Data Workshop for COVID-19


When Dec 15, 2021 - Dec 18, 2021
Where Online
Submission Deadline Oct 27, 2021
Notification Due Nov 10, 2021
Final Version Due Nov 18, 2021
Categories    big data   machine learning   GIS   natural language processing

Call For Papers

The COVID-19 pandemic has been regarded as the most significant global disaster since World Wars I and II. It has caused social and economic disruptions all over the world, as well as millions of deaths. Quarantines and lockdowns have been frequently occurring around the globe. Thus, the COVID-19 pandemic has brought new unknown challenges to everyone.

The global science and medical communities have advanced with timely research and analysis, contributing to our understanding and response to the virus. But much valuable information is still hidden in vast quantities of relevant data, such as statistics, text, speech, etc.

Social media outlets have become an increasingly crucial source of potentially rich information. Such data may provide useful insights regarding the public’s reactions to social dilemmas. Since COVID-19 was never seen before, massive amounts of misinformation could have been rapidly distributed.

This workshop aims to support research to observe impacts of COVID-19, to explore challenges and opportunities for improving safety and health to fight COVID-19, and to encourage collaborations between researchers in Language Processing (NLP), machine learning, deep learning, information visualization, geospatial computing, cloud computing, healthcare, and finance communities to share their recent findings in this active and late-breaking research.

We invite submissions related to any aspect of Big Data analytics in theory, methodologies, and applications for COVID-19 topics. List of potential COVID-19 related topics includes, but are not limited to:
• COVID-19 contact tracing and hotspot detection
• COVID-19 tracking, data collection, and data management
• COVID-19 data mining, query processing, and information retrieval
• COVID-19 simulation and modeling
• COVID-19 prediction of positive cases, deaths, etc.
• COVID-19 spatial analysis, mapping, visual analytics
• COVID-19 socioeconomic impact
• COVID-19 and social media (e.g., sentiment analysis, misinformation detection, hate and toxic speech detection, etc.)
• Effects of social distance, mask wearing, or vaccines
• COVID-19 impact on education and distance learning
• COVID-19 disaster response and emergency management

Important Dates
• First Deadline:
• Oct. 4, 2021: Submission of full papers (7-10 pages) and short papers (5-6 pages)
• Nov 1, 2021: Notification of paper acceptance
• Nov 15, 2021: Camera-ready of accepted papers
• Second Deadline (General Workshop Deadline of IEEE Big Data 2021):
• Oct. 27, 2021: Submission of full papers (7-10 pages) and short papers (5-6 pages)
• Nov 10, 2021: Notification of paper acceptance
• Nov 18, 2021: Camera-ready of accepted papers
• Dec. 15-18, 2021: IEEE Big Data Conference & Workshops (Virtually)

Please follow the web link to submit to IEEE Big Data 2021 paper submission site.

Related Resources

IEEE BigData 2023   EEE International Conference on Big Data
IEEE Xplore-Ei/Scopus-CCCAI 2023   2023 International Conference on Communications, Computing and Artificial Intelligence (CCCAI 2023) -EI Compendex
IEEE ICBDA 2024   IEEE--2024 the 9th International Conference on Big Data Analytics (ICBDA 2024)
IEEE Big Data - MMAI 2023   IEEE Big Data 2023 Workshop on Multimodal AI (Virtually)
ICDM 2023   International Conference on Data Mining
JCRAI 2023-Ei Compendex & Scopus 2023   2023 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2023)
BigMM 2023   IEEE International Conference on Multimedia Big Data
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
ICBDA 2024   IEEE--2024 the 9th International Conference on Big Data Analytics (ICBDA 2024)
ICDE 2024   40th IEEE International Conference on Data Engineering