[CFP] Joint International Conference on Data Science & Management of Data (CODS-COMAD 2022)
Arunesh Sinha
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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 4-7, 2023
IIT Bombay
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 in the areas of data management, data science, machine learning and AI. Papers can range from theoretical contributions to systems and algorithms to experimental research and benchmarking. The goal of the short papers is to provide a venue for 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.php
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, and practical MLOps approaches. 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.php
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, ethics of data science 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.php
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. Submissions should not exceed 4 pages and (unlimited) references. 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.php
YOUNG RESEARCHERS' SYMPOSIUM
The Young Researchers’ Symposium at CODS-COMAD 2023 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 in the form of a 2-page extended abstract, and 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.php
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/call-for-young-researchers-symposium-papers.php
IMPORTANT DATES
July 3, 2022: Abstract submission deadline in Research and Applied Data Science tracks
July 10, 2022: Paper submission deadline in Research and Applied Data Science tracks
September 11, 2022: First Stage Accept/Major Revision/ Reject decisions in Research and Data Science tracks
September 15, 2022: Paper submission deadline in Demo and Young Researchers' Symposium tracks. Tutorial proposal deadline
October 9, 2022: Re-submission of revised manuscripts in Research and Applied Data Science tracks
October 30, 2022: Final Notifications of Accept / Reject decisions across all tracks
November 15, 2022: Camera ready submission deadline across all tracks
PAPER SUBMISSION LINK
https://easychair.org/conferences/?conf=codscomad2023
SUBMISSION INSTRUCTIONS AND POLICIES
Detailed submission instructions, submission format, page limits, conflict of interest, dual submission, plagiarism and other policies are available at the link below. Do check them out before submitting your paper. https://cods-comad.in/common-instructions-policies.php
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 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
Pushpak Bhattacharyya (IIT Bombay)
Amr El Abbadi (University of California, Santa Barbara)
PC Chairs (Research Track)
Praneeth Nethrapalli (Google Research)
Louiqa Raschid (University of Maryland)
PC Chairs (Applied Data Science Track)
Tanuja Ganu (Microsoft)
Ponnurangam Kumaraguru (IIIT Hyderabad)
Tutorial Chairs
Animesh Mukherjee (IIT Kharagpur)
Kalapriya Kannan (Hewlett Packard Enterprise)
Demo Chairs
Mayank Vatsa (IIT Jodhpur)
Anoop Kunchukuttan (Microsoft)
Young Researchers' Symposium (YRS) Chairs
Preethi Jyothi (IIT Bombay)
Bivas Mitra (IIT Kharagpur)
Diversity & Inclusion Chairs
Chitra Babu (SSN Institutions)
Balaraman Ravindran (IIT Madras)
Proceedings Chair
Abhinandan SP (NIE Mysore)
Charu Sharma (IIIT Hyderabad)
Publicity Chairs
Rajiv Ratn Shah (IIIT Delhi)
Arunesh Sinha (Singapore Management University)
Sponsorship Chairs
Shourya Roy (Flipkart)
Yogesh Simmhan (IISc Bangalore)
Local Organizing Chairs
Biplab Banerjee (IIT Bombay)
Manoj Nambiar (TCS Research)
Finance Chair
Chandrashekhar Sahasrabudhe (ACM India)
Raj Sharma (Goldman Sachs)
Arunesh Sinha
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CODS-COMAD 2023
10th ACM IKDD CODS and 28th COMAD
6th Joint International Conference on Data Science & Management of Data
January 4-7, 2023
IIT Bombay
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We are pleased to announce The 6th Joint International Conference on Data Sciences and Management of Data to be held in Mumbai, India, on January 4-7, 2023 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 6th 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.