Call for Applied Data Science Track Papers

Applied Data Sciences Track

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:

• Full papers: 8 pages + (unlimited) references.
• Short papers: 4 pages + (unlimited) references.

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. The review process will take place in two stages.

• In the first stage of the review, papers will be grouped as Accept, Major Revision or Reject.
• In the second stage of the review, authors can revise and resubmit Major Revision papers. They will then be regrouped as Accept or Reject.

Authors of accepted full papers must present their work as both a talk and a poster at the conference; accepted short papers must present their work as a poster. All accepted papers will appear in the proceedings of the conference, which will be published in the ACM Digital Library.

Topics of Interest include, but are not limited to, the following:

• Data Science and Data Management Applications: Novel combination of data science and data management applications in domains such as education; software engineering; cloud computing; robotics and autonomous systems; security; agriculture; transportation; energy; real estate; manufacturing; finance; retail; healthcare; e-commerce; digital marketing; telecommunications; social network analysis; social computing; crowdsourcing; computational advertising; recommender systems; public policy; bio-chemical engineering; pollution tracking and climate change; material science; AI for natural sciences; bioinformatics; technology for emerging markets, etc.
• Deployments and Lessons Learned: Deployed experience papers from industry, government agencies, startups and NGOs relating to the large-scale deployment of data science applications and operations (MLOps, DLOps). Subtopics include infrastructure for scale, ease of adoption, and new data science/management technologies. Papers should highlight pain points and new challenges emerging due to deployment of these new technologies. Verifiable evidence of business impact, social impact, or other real-world impact from such deployments are encouraged.
• Ethical issues in data science applications: Fairness and bias; trust, transparency and explainability; data privacy; model alignment; environmental costs; policy, governance and regulation, especially when these issues are considered in relation to deployed systems.

Sharing and Reproducibility

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 (both domestic and international) whose papers are accepted.

Important dates

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

• July 24th, 2024: Abstract submission
• July 31st, 2024: Submission of papers
• September 7th, 2024: First stage decision notifications
• September 28th, 2024: Submission of revised papers
• October 22nd, 2024: Final decision notifications (Accept / Reject)
• November 10th November 18th, 2024: Camera Ready Due

Submission Instructions

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.

Program Chairs

Senjuti Basu Roy, New Jersey Institute of Technology
Neil Shah, Snap Research
For more details, please reach out to the track chairs at comadcods@gmail.com

Program Committee

Please see this page for program committee members.