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.
We also welcome submissions related to the use of analytics and data systems to manage and learn from the COVID-19 epidemic, including but not limited to epidemic modeling, healthcare, disease detection, resilient logistics, etc.
Tutorial proposals should include details as described below and fit within a 4-page limit with 1
additional page for references. Accepted tutorials will appear in the proceedings of the
conference, which will be published in ACM Digital Library. Tutorial presentations will be a part
of the parallel technical track at the conference.
Accepted papers will be given the opportunity to present their work as an oral presentation. Accepted papers will appear in the proceedings of the conference, which will be published in ACM Digital Library.
To evaluate your proposal we are looking for the following information as part of your
- Title & Abstract (up to 250 words): These will be used to publicize the tutorial.
- Duration of Tutorial: The tutorial can be 1.5 hours or 3 hours. We encourage you to
include hands-on coding sessions during the tutorials, especially for the 3 hours long
- Description & Outline: Provide a brief description of the planned materials in the
tutorial and their depth along with a rough outline of the tutorial.
- Details of the previous tutorials (If any): If the tutorial was presented earlier, provide
the details, including web links if any.
- Goals: What are the objectives of the tutorial? What is the benefit to attendees? Why is
this tutorial important to include at CODS-COMAD?
- Target Audience: What is the target audience? What background should attendees have?
It would be a plus if you can articulate the prerequisites for the audience, e.g.
“Understand derivatives and integrals as found in introductory Calculus”, “Understand
‘classical’ supervised methods such as decision trees and Naive Bayes”
- Proposers: Please provide names, affiliations, email addresses, and short bios for each
proposer of the tutorial. Bios should cover the proposer’s expertise related to the topic of
the tutorial. If there are multiple proposers, give details about the distribution of the
tutorial among them.
- Which of the proposers will be available to present the tutorial in-person?: It is
strongly encouraged that all proposers attend and present the tutorial in-person. No
change in tutorial presenters after the acceptance of the tutorial is allowed. If all
proposers are not able to attend, please provide the details if they will be able to present
- References: A list of the most important references that will be covered.
All deadlines are Anywhere on Earth (AoE, UTC-1200)
- August 10, 2021: Submission of papers
- October 1, 2021: Notification of acceptance
- October 31, 2021: Camera ready due