posted by user: ealsentzer || 4080 views || tracked by 5 users: [display]

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

FacebookTwitterLinkedInGoogle

Link: https://www.chilconference.org/
 
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 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.

Related Resources

ICML 2024   International Conference on Machine Learning
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus
CHIL 2024   5th AHLI Conference on Health, Inference, and Learning
IEEE Big Data - MMAI 2024   IEEE Big Data 2024 Workshop on Multimodal AI
ICSTTE 2025   2025 3rd International Conference on SmartRail, Traffic and Transportation Engineering (ICSTTE 2025)
Ei/Scopus-ACAI 2024   2024 7th International Conference on Algorithms, Computing and Artificial Intelligence(ACAI 2024)
ICDTHT 2025   ICDTHT´25 - The 2025 International Conference on Demographic Transition, Health and Technologies
AMLDS 2025   IEEE--2025 International Conference on Advanced Machine Learning and Data Science