ACM-IMS Foundations of Data Science Conference: Call for Papers
The Association for Computing Machinery (ACM) and the Institute of Mathematical Statistics (IMS) have come together to launch a conference series on the Foundations of Data Science. The inaugural event, the ACM-IMS Interdisciplinary Summit on the Foundations of Data Science, took place in San Francisco in 2019. Starting in 2020, they will have an annual conference with refereed conference proceedings. The 2020 event takes place October 18-20, 2020 and the submission deadline is May 15, 2020. This interdisciplinary event will bring together researchers and practitioners to address foundational data science challenges in prediction, inference, fairness, ethics and the future of data science.
- Submission: May 15, 2020
- Notification: July 15, 2020
- Camera-ready: August 1, 2020
All deadlines are at 11:59PM Alofi Time. There will be absolutely no exception to these deadlines.
Topics of interest include, but are not limited to:
- Big challenges: scientific understanding of deep learning, causal reasoning, precious data, multiple heterogeneous data sources, inferring from noisy incomplete data, trustworthy AI, computing systems for data-intensive applications, automating the front-end of the data life cycle, ethics, economics of data/data markets
- Models and algorithms: classification, clustering, dimensionality reduction, matrix and tensor methods, model selection, optimization, relational/structured learning, personalization, probabilistic and statistical methods, regression, semi-supervised and unsupervised learning, signal processing, visualization
- Properties, logics, and languages: accountability, fairness, interpretability, privacy, robustness, safety, security, stability; formal specification and verification logics and languages for data science
- Types and classes of data: functional, graphs, images, multi-modal, networks, patterns, rules, sequences, spatio-temporal, streams, text, time series, video, web; algorithmic, mathematical and statistical techniques for artisanal data, big data, rare data; complexity classes of data
FODS is a single-track conference. Submissions are limited to a total of ten (10) pages, including all content and references, and must be in PDF format and formatted according to the new Standard ACM Conference Proceedings Template. For LaTeX users: unzip acmart.zip, make, and use samplesigconf.tex as a template; Additional information about formatting and style files is available online at https://www.acm.org/publications/proceedings-template. Papers that do not meet the formatting requirements will be rejected without review.
In addition, authors can provide an optional two (2) page supplement at the end of their submitted paper (it needs to be in the same PDF file and start at page 11) focused on reproducibility. This supplement can only be used to include (i) information necessary for reproducing experimental results, insights, or conclusions reported in the paper, and (ii) any pseudo-code, or proofs that due to space limitations, could not be included in the main ten-page manuscript, but that help in reproducibility (see reproducibility policy below for more details).
FODS follows a double-blind review process. Submitted papers must not include author names and affiliations and they must be written in a way so that they do not break the double-blind reviewing process. If the preliminary version of a paper was posted in arXiv, the authors should NOT mention this in the submission. Papers that violate the double-blind review requirements will be rejected without further review.
Website for submissions: https://easychair.org/conferences/?conf=fods2020.