Call for Tutorial Proposals

Call for 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.

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 modelling, healthcare, disease detection, resilient logistics, etc.

Tutorial proposals should include details as described below and fit within a 4-page limit and (unlimited) 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.

Submission Details

To evaluate your proposal we are looking for the following information as part of your submission:

  • Title & Abstract (up to 250 words): These will be used to publicise 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 tutorials.
  • 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 remotely.
  • References: A list of the most important references that will be covered.

Please see this page for submission instructions

Important dates

All deadlines are Anywhere on Earth (AoE, UTC-1200)
Sep 15, 2022: Submission of tutorial proposals
Oct 30, 2022: Notification of acceptance
Nov 15, 2022: Camera-ready version due

Tutorial Track Chairs

  • Kalapriya Kannan, HPE [Hewlett Packard Enterprise], India
  • Animesh Mukherjee, IIT Kharagpur
  • For more details, please reach out to the track chairs at [email protected]