We invite submissions describing the design, implementation and results of solutions for application of data science techniques to real-world problems. We invite two types of submissions:
Papers submitted to the Archival track will undergo a rigorous review process that will judge submissions both for novelty of the described approaches as well as suitability for real-world applications. The goal of the non-archival track is to provide authors with a fast-track route to get feedback for any preliminary ideas that show promising results but do not yet have the maturity to be submitted to the archival track.
Papers accepted in the archival track will appear in the conference proceedings and be published. The publication venue will be announced soon. Papers accepted in the non-archival track will be presented in the conference but not published.
Unlike previous years, we will have a single-stage review process this time, i.e., there will not be a rebuttal stage and no option to submit revised papers. Authors of all accepted papers (archival and non-archival) must present their work at the conference.
Authors are strongly encouraged to make their code and data publicly accessible during the review process, unless there is an inevitable reason that prohibits sharing (e.g., it requires data from a specific company or it is medical data where there is no public alternative). Algorithms and resources used in a paper should be described as completely as possible to enable reproducibility. This includes model parameters, experimental methodology, hardware and software platforms used during empirical evaluations, and results. The reproducibility factor will play an important role in the assessment of each submission. In the case where data cannot be released publicly, authors are encouraged to include experiments on relevant public datasets and/or create simulated data with the same properties.
Please read the Dual submission, Plagiarism, and Conflict of Interest policies before finalising your submission.
Additionally, please see this page to help you decide between the Research Track and Applied Data Science Track.
Several technical awards are available for best paper, etc. Please see the Awards page for details.
Partial travel Grants will be available for students whose papers are accepted.
All deadlines are Anywhere on Earth (AoE, UTC-1200)
Unlike for the Research Track, authors have the option of submitting ADS track papers in either single or double-anonymous mode; listing author information is left to the discretion of the authors. Please see this page for submission instructions.
Prathosh A.P., Indian Institute of Science
Srikrishna Karanam, Adobe Research
For more details, please reach out to the track chairs at cods@acmindia.org
Please see this page for program committee members.