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CHIL 2022 : AHLI Conference on Health, Inference and Learning (CHIL) 2022


When Apr 7, 2022 - Apr 8, 2022
Where Virtual
Submission Deadline Jan 14, 2022
Categories    machine learning   healthcare   medicine

Call For Papers

[CFP] CHIL 2022 Call for Papers - Conference on Health, Inference and Learning (Virtual, April 2022)

The AHLI Conference on Health, Inference, and Learning (CHIL 2022) solicits work across a variety of disciplines, including machine learning, statistics, epidemiology, health policy, operations, and economics. CHIL 2022 invites submissions touching on topics focused on relevant problems affecting health. Authors are invited to submit 8-10 page papers (with unlimited pages for references) to each of the tracks described below.

Link to conference site:

Important Dates
Submissions due – January 14, 2022 (11:59 pm AoE)
Conference Dates – April 7-8, 2022

=== 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 shift, adversarial shift, or on minority subpopulations
Investigations into model performance on minority subpopulations, and the implications thereof
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
System design for implementation of ML at scale
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, consult the online CFP:
In case you are not sure which track your submission fits under, feel free to contact the track or program committee chairs for clarification.

=== Submission Details and Guidelines ===
For full details, refer to the online CFP:

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) can be submitted with their main manuscript. Reviewers will not be required to read the supplementary materials.

Archival Submissions
Submissions to the main conference are considered archival and will appear in the published proceedings of the conference if accepted.

Dual Submission Policy
You may not submit papers that are identical, or substantially similar to versions that are currently under review at another conference or journal, have been previously published, or have been accepted for publication. Submissions to the main conference are considered archival and will appear in the published proceedings of the conference 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.

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.

=== AHLI CHIL 2022 Organisers ===
General Chairs - Dr. Tristan Naumann and Dr. Joyce Ho
Program Chairs - Dr. Sherri Rose and Matthew McDermott
Proceedings Chairs - Dr. George Chen, Dr. Tom Pollard, and Gerardo Flores
Track Chairs - Dr. Rahul Krishnan, Dr. Shalmali Joshi, Dr. Mike Hughes, Dr. Alistair Johnson, Dr. Judy Gichoya, Dr. Bobak Mortazavi
Communications Chairs - Dr. Sanja Šćepanović and Emily Alsentzer
Finance Chairs - Dr. Brett Beaulieu-Jones, Ahmed Alaa, and Tasmie Sarker
Tutorial Chairs - Dr. Jessica Gronsbell and Harvineet Singh
Virtual Chairs - Dr. Stephanie Hyland, Dr. Ioakeim Perros
Logistics Chair - Tasmie Sarker

For questions/comments, email us at

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