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

Event Dates

Apr 07, 2022 - Apr 08, 2022

Location

Virtual

Submission Deadline

Jan 14, 2022

[CFP] CHIL 2022 Call for Papers – Conference on Health, Inference and Learning (Virtual, April 7-8 2022)

We invite you to submit your work to the Conference on Health, Inference, and Learning (CHIL 2022), which solicits work across a variety of disciplines, including machine learning, statistics, epidemiology, health policy, operations, and economics. CHIL 2022 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.

Pre-register at https://www.chilconference.org/register.html.

Link to call for papers: https://www.chilconference.org/call-for-papers.html

Important Dates

Submissions due – January 14, 2022 (11:59 pm AoE)

Author Notification – February 25, 2022

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 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

If you are not sure which track your submission fits under, please reach out to info@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

Submission

Submissions should be made via OpenReview: https://openreview.net/group?id=chilconference.org/CHIL/2022/Conference.

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).

Archival Submissions

As with prior years, submissions to the conference will be considered for both:

Archival proceedings and presentation. Submissions of this type are considered archival and will appear in the conference’s published proceedings, which will be made openly available in the Proceedings of Machine Learning Research (PMLR).

Invited non-archival presentation. Submissions of this type are considered non-archival and will not appear in the conference’s published proceedings, but they will be invited to present during the conference (e.g. in a poster session).

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. Yuyin Zhou, Dr. Uri Shalit, Dr. Alistair Johnson, Dr. Judy Gichoya, Emma Rocheteau, Dr. Lifang He, Dr. Bobak Mortazavi, Dr. Stephen Pfohl, and Dr. Farzan Sasangohar

Communications Chairs – Dr. Sanja Šćepanović, Emily Alsentzer, and Dr. Ayah Zirikly

Finance Chairs – Dr. Brett Beaulieu-Jones, Dr. Ahmed Alaa, and Tasmie Sarker

Tutorial Chairs – Dr. Jessica Gronsbell and Harvineet Singh

Virtual Chairs – Dr. Stephanie Hyland, Dr. Ioakeim Perros, and Brian Gow

Logistics Chair – Tasmie Sarker

For questions/comments, email us at info@chilconference.org.