[CFP] CHIL 2023 Call for Papers - Conference on Health, Inference and Learning (Cambridge, MA, June 22-24 2023)
We invite you to submit your work to the Conference on Health, Inference, and Learning (CHIL 2023), which solicits work across a variety of disciplines, including machine learning, statistics, epidemiology, health policy, operations, and economics. CHIL 2023 invites submissions on all topics at the intersection of machine learning and health. Authors are invited to submit 8-10 page papers (with unlimited pages for references) to each of the tracks described below. Link to call for papers: https://www.chilconference.org/call-for-papers.html <https://www.chilconference.org/call-for-papers.html> Important Dates Submissions due – February 3, 2023 (11:59 pm AoE) Author Notification – April 3, 2023 Conference Dates – June 22-24, 2023 === Tracks and topics === Track 1: Models and Methods: Algorithms, Inference, and Estimation Track 2: Applications and Practice: Investigation, Evaluation, Interpretation, and Deployment Track 3: Impact and Society: Policy, Public Health, Social Outcomes, and Economics Topics for each track include but are not restricted to the following. Track 1 (Models and Methods): (Un)supervised learning, representation learning Natural language processing, knowledge graphs Computer vision Survival analysis Deep learning architectures Transfer learning, domain adaptation Bayesian learning, inference Structured learning Robust learning Causal inference Track 2 (Applications and Practice): Examination of robustness of ML systems to real-world dataset or adversarial shift Scalable, safe machine learning/inference in clinical environments New tools or comprehensive benchmarks for machine learning for healthcare Development of scalable systems for processing data in practice (demonstrating, e.g., concern for multi-modality, runtime, robustness, etc., as guided by a clinical use case) Bridging the deployment gap Remote, wearable, and telehealth Data or software packages Track 3 (Impact and Society): Fairness, equity, ethics and justice Model implementation, deployment, and adoption Policy, public health, and societal impact of algorithms Interpretability Regulatory frameworks Tools for adoption of ML Evaluation of bias in legal and/or health contexts Human-algorithm interaction For more detail on the scope of each track, please see our online call for papers: https://www.chilconference.org/call-for-papers.html <https://www.chilconference.org/call-for-papers.html> If you are not sure which track your submission fits under, please reach out to i...@chilconference.org <mailto:i...@chilconference.org> for advice. === Submission Details and Guidelines === For full details, refer to the online call for papers: https://www.chilconference.org/call-for-papers.html <https://www.chilconference.org/call-for-papers.html> Submission Submissions should be made via OpenReview. A submission link will be posted about a month prior to the deadline. Length and Formatting Submitted papers must be 8-10 pages (including all figures and tables), plus unlimited pages for references. Additional supplementary materials (e.g., appendices) are welcomed alongside the main manuscript. Reviewers will not be required to read the supplementary materials. For additional details and LaTeX template, refer to the Author Instructions (https://www.chilconference.org/call-for-papers.html#tab-author-info <https://www.chilconference.org/call-for-papers.html#tab-author-info>). Archival Submissions Submissions to the main conference are considered archival and will appear in the published proceedings of the conference if accepted. Author notification of acceptance will be provided towards April 2023. Peer Review The review process is mutually anonymous. Please submit completely anonymized drafts. Please do not include any identifying information, and refrain from citing the authors’ own prior work in anything other than third-person. Violations to this policy may result in rejection without review.Conference organizers and reviewers are required to maintain confidentiality of submitted material. Upon acceptance, the titles, authorship, and abstracts of papers will be released prior to the conference. You may not submit papers that are identical, or substantially similar to versions that are currently under review, previously published, or accepted for publication at another conference or journal. Submissions to the main conference are considered archival and will appear in the published conference proceedings if accepted. An exception to this rule is extensions of workshop papers that have previously appeared in non-archival venues, such as workshops, arXiv, or similar without formal proceedings. These works may be submitted as-is or in an extended form. CHIL also welcomes full paper submissions that extend previously published short papers or abstracts, so long as the previously published version does not exceed 4 pages in length. Note that the submission should not cite the workshop/report and preserve anonymity in the submitted manuscript. === AHLI CHIL 2023 Organizers === General Chairs - Dr. Joyce Ho and Dr. Andrew Beam Program Chairs - Dr. Matthew McDermott and Dr. Emily Alsentzer Track 1 Chairs - Dr. Michael Hughes (Lead), Dr. Yuyin Zhao, Dr. Rahul Krishnan, Dr. Jean Feng, Dr. Samantha Kleinberg, Dr. Elena Sizikova (Tracks 1 & 2) Track 2 Chairs - Dr. Lifang He (Lead), Dr. Tom Pollard, Dr. Carl Yang, Dr. Yu Zhang Track 3 Chairs - Dr. Sanja Šćepanović (Lead), Dr. Stephen Pfohl, Dr. Dimitris Spathis Proceedings Chair - Dr. Bobak Mortazavi Technology Chairs - Dr. Huan He, Dr. Jiayu Yao Virtual Chair - Brian Gow Communications Chairs - Dr. Ioakeim Perros, Anil Palepu Logistics Chairs - Monica Munnangi, Tasmie Sarker Unconference Chair - Dr. Jessica Gronsbell, Dr. Rui Duan Finance Chairs - Dr. Edward Choi, Harvineet Singh Doctoral Symposium Chair - Dr. Tom Hartvigsen For questions/comments, email us at i...@chilconference.org.
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