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CODS-COMAD 2022 : 5th Joint International Conference on Data Science & Management of Data

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Link: https://cods-comad.in/
 
When Jan 8, 2022 - Jan 10, 2022
Where Bangalore, India
Submission Deadline Jul 18, 2021
Notification Due Oct 1, 2021
Final Version Due Oct 31, 2021
Categories    artificial intelligence   machine learning   data mining   databases
 

Call For Papers

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CODS-COMAD 2022
9th ACM IKDD CODS and 27th COMAD

5th Joint International Conference on
Data Science & Management of Data

January 8-10, 2022
Bangalore, India | Hybrid Event
https://cods-comad.in/

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We are pleased to announce The 5th Joint International Conference on Data Sciences and Management of Data to be held in Bangalore, India, on January 8-10, 2022 as a hybrid event. CODS-COMAD is a premier international conference focusing on scientific work in Databases, Data Sciences and their applications. Being held for the 5th time as a common conference bringing together the COMAD and the CODS communities, the conference invites researchers in the field of databases, data sciences and their applications to submit their original work.

- CALL FOR PAPERS -

RESEARCH TRACK
The research track invites full as well as short papers describing innovative and original research contributions on all aspects of data management, data science, machine learning, AI and their applications focussing on one or more aspects of Theory, System Design, Experiments and Benchmarking, Scalability, Algorithms, etc. The goal of short papers is to provide a venue for relatively simpler but innovative ideas such as engineered solutions, exciting work-in-progress or even negative results that would be interesting to the broader community. Authors of accepted papers will get an opportunity to showcase their work as an oral presentation. For more details visit: https://cods-comad.in/call-for-research-track-papers/

APPLIED DATA SCIENCE TRACK
The Applied Data Sciences (ADS) track invites both full as well as short papers describing the design, implementation and results of solutions and systems for application of data science techniques to real-world problems. Technical approaches can include data science, data mining, applied machine learning, testing and governance of data science models and solutions, DevOps for data science. Accepted papers will be given the opportunity to present their work as an oral presentation. For more details, visit: https://cods-comad.in/call-for-applied-data-science-track-papers/

TUTORIALS
Tutorials at CODS-COMAD offer a platform to showcase state-of-the-art tools and technologies to support research, development and applications of data systems, data science, data management and platforms, data-driven applications etc. We solicit tutorial proposals on all topics of interest to the CODS-COMAD conference. For more details, visit: https://cods-comad.in/call-for-tutorial-proposals/

DEMO TRACK
The demonstration (demo) track invites submissions from academia and industry where a live or pre-recorded demonstration of the software system, prototype, conceptual design or library adds significant value to the work. Topics of interest include data systems, data science, data management and platforms, data-driven applications etc. The scope for demos is broad and includes all topics of interest to the CODS-COMAD conference. The demo should be the result of innovative work including solving novel technical or research problems and/or creating novel UI/UX. Authors of accepted demo track papers will have the option to do either a recorded demo or a live demo at the conference site. For more details, visit: https://cods-comad.in/call-for-demo-track-papers/

YOUNG RESEARCHERS' SYMPOSIUM
The Young Researchers’ Symposium at CODS-COMAD 2022 invites submissions from students and postdoctoral fellows. This is a unique opportunity for young researchers to have fruitful peer-to-peer discussions and to get feedback from leading senior researchers about their current research work. Submissions to the Young Researchers’ Symposium (YRS) are invited on the topics such as data systems, data science, data management and platforms, data-driven applications etc. We welcome many kinds of papers, such as, but not limited to: novel research papers, work-in-progress papers, appraisal papers of existing methods and tools (e.g., lessons learned). The first author of any submission should be an Undergraduate/Postgraduate/Ph.D. student or a Postdoctoral researcher affiliated with any academic institution. Authors of accepted papers will get a chance to present their work both as a poster and a quick lightning talk at the conference. For more details, visit:
https://cods-comad.in/call-for-young-researchers-symposium-papers/

NOTE: We also welcome submissions related to the use of analytics and data systems across the tracks to manage and learn from the COVID-19 epidemic, including but not
limited to epidemic modeling, healthcare, disease detection, resilient logistics, etc.


DIFFERENCE BETWEEN RESEARCH AND APPLIED DATA SCIENCE TRACK
Check the link below to help you decide which track to submit your paper to. It is the authors’ responsibility to submit their paper into the appropriate track. Papers that do not satisfy the requirements (e.g., a research track paper) might be rejected without a formal review.
https://cods-comad.in/research-track-vs-advance-data-science-track/


SUBMISSION FORMAT
All submissions should be formatted in the standard ACM style available at:
https://bit.ly/3dEPFW9. Word authors should use: https://bit.ly/39MMH0r
The length of the submission should not exceed the page limit mentioned below. Submissions not adhering to the page limit will be rejected without review

PRESENTATION MODE
Given the evolving nature of the COVID-19 pandemic, CODS-COMAD will be held as a hybrid event this year. Authors of accepted papers will always have the option of presenting their work virtually. We may move to a fully virtual event depending on the situation. The decision will be posted as we get closer to the conference.

ARCHIVAL AND NON-ARCHIVAL
The proceedings will be published in the ACM Digital Library and also indexed in DBLP.

PAGE LIMITS
- Research Track (Full Paper): A maximum of 8 pages of content + up to 2 additional pages containing only references.
- Research Track (Short Paper): A maximum of 4 pages of content + up to 1 additional page containing only references.
- Applied Data Science Track (Full Paper): A maximum of 8 pages of content + up to 2 additional pages containing only references.
- Applied Data Science Track (Short Paper): A maximum of 4 pages of content + up to 1 additional page containing only references.
- Tutorials: A maximum of 4 pages of content + up to 1 additional page containing only references.
- Demo Track: A maximum of 4 pages of content + up to 1 additional page containing only references + a link to the demo in the main content.
- Young Researchers' Symposium (YRS): A maximum of 2 pages of extended abstract, including all images, tables, and references. The status of the first author (Undergraduate / Postgraduate / Doctoral / Postdoctoral) should be listed as a footnote on the first page.


IMPORTANT DATES
All deadlines are Anywhere on Earth (AoE, UTC-1200)

July 18, 2021 (revised deadline)
Research and Applied Data Science Track paper submission deadline

August 17, 2021 (revised deadline)
Tutorial proposal submission deadline
Demo and Young Researchers’ Symposium Track paper submission deadline

October 1, 2021
Research and Applied Data Science track paper notification of acceptance
Tutorial proposal notification of acceptance
Demo and Young Researchers’ Symposium Track paper notification of acceptance

October 31, 2021
Camera ready submission deadline in all tracks

DUAL SUBMISSION AND PLAGIARISM POLICY
CODS-COMAD does not allow dual submissions. Submissions should be reporting original work, not previously published, accepted to be published, or being considered for publication in any other forum. Authors are also not allowed to concurrently submit the same work across multiple tracks within CODS-COMAD 2022.

EASY CHAIR SUBMISSION LINK
https://easychair.org/conferences/?conf=codscomad2022

DETAILED SUBMISSION INSTRUCTIONS AND POLICIES
Detailed submission instructions and other policies are available at the link below. Do check them out before submitting your paper. https://cods-comad.in/submission-instructions-and-policies/

AWARDS
The best paper in each track will receive an award citation

TRAVEL GRANTS
Conference will provide travel assistance to a reasonable number of students (both domestic and international) whose papers are accepted. The travel grant includes free accommodation and monetary travel support partially covering the travel cost. Details of the grant will be made available at the conference website in due course.

ORGANIZING COMMITTEE

General Chairs
- Gargi Dasgupta, IBM Research, India
- Yogesh Simmhan, Indian Institute of Science

PC Chairs (Research Track)
- Balaji Vasan Srinivasan, Adobe Research, India
- Sourav Bhowmick, NTU Singapore

PC Chairs (Applied Data Science Track)
- Amith Singhee, IBM Research, India
- Maya Ramanath, IIT Delhi

Tutorial Chairs
- Kalapriya Kannan, Hewlett Packard Enterprise
- Ram Subramanian, University of Canberra

Demo Chairs
- Alpan Raval, Wadhwani AI
- Anirban Chakraborty, Indian Institute of Science

Young Researchers' Symposium (YRS) Chairs
- Bivas Mitra, IIT Kharagpur
- Sriparna Saha, IIT Patna
- Vaibhav Rajan, NUS Singapore

Diversity & Inclusion Chairs
- Srujana Merugu, Google Research & Wadhwani AI
- Shourya Roy, Flipkart

Proceedings Chair
- Nipun Batra, IIT Gandhinagar

Publicity Chairs
- Laura Wynter, IBM Research, Singapore
- Raj Sharma, Goldman Sachs
- Ranjitha Prasad, IIIT Delhi

Sponsorship Chairs
- Balaraman Ravindran, IIT Madras
- Lipika Dey, TCS Research
- Manoj Agarwal, Microsoft

Local Organizing Chairs
- Jaya S. Nair, IIIT Bangalore
- Raj Sharma, Goldman Sachs
- Vivek Yadav, IIIT Bangalore

Virtual Event Chair
- Atul Kumar, IBM Research, India
- Deepak Gupta, Amazon

Finance Chair
- Chandrashekhar Sahasrabudhe, ACM India

Website Chairs
- Aakash Khochare, Indian Institute of Science
- Sandeep Kumar Mandal, Gameskraft

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