[CfP] CHIL 2024 Call for Participation - Conference on Health, Inference, and Learning

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Jan 28, 2024, 10:09:12 PM1/28/24
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This is a gentle reminder about the CHIL 2024 Conference, the submission deadline will be Feb 5, 2024. We would greatly appreciate it if you could share this Call for Papers reminder with your group!

CHIL 2024 features a stellar lineup of speakers and panelists. Get ready to dive into the latest innovations in computing, healthcare, and AI with Samantha Kleinberg, Sanmi Koyejo, Deb Raji, Leo Anthony Celi, David Meltzer, Kyra Gan, and Girish Nadkarni!

Have a great day! 

Thank you,

Communication team, CHIL 2024


----------------------- Call for Participation Below ----------------------


The 2024 Conference on Health, Inference, and Learning (CHIL) invites submissions focused on artificial intelligence and machine learning (AI/ML) techniques that address challenges in health, which includes clinical healthcare, public health, health economics, informatics, and more. For full details, refer to the online Call for Papers: https://www.chilconference.org/call-for-papers.html 

This year, CHIL 2024 will accept submissions for three distinct tracks: Models and Methods, Applications and Practice, and Policy, Impact and Society. Accepted papers will be published in the Proceedings of Machine Learning Research (PMLR). We are also offering Best Paper Awards to recognize outstanding work across all tracks.

Submissions are due on February 5th, 11:59 PM EST in the form of anonymized PDF files. All submissions for CHIL 2024 will be managed through the OpenReview system (submission link coming soon). Similar to last year, we have a full author response period and reviewer discussion period to ensure proper feedback on the work. 

Hosted by The Association of Health, Learning, and Inference (AHLI), the CHIL conferences have consistently served as premier scientific meetings, uniting clinicians and researchers from both industry and academia, and weaving a rich tapestry of knowledge and innovation.

Building on a series of conferences and events since 2019, CHIL has persistently set a benchmark in interdisciplinary research within the realms of machine learning and health, demonstrated through its impactful sessions (2020, 2021, 2022, 2023). Following the resounding success of CHIL 2023 at the Broad Institute, Cambridge, we are thrilled to announce that CHIL 2024 will continue fostering insightful discussions and collaborations in the field. The 5th annual conference will take place in-person from June 27-28 at the Verizon Executive Education Center at Cornell Tech in New York City. 

Important Dates

  • Submissions due: Feb 5, 2024 at 11:59pm

  • Bidding opens for reviewers: Feb 6, 2024 at 11:59pm

  • Reviews released: Mar 4, 2024 by 11:59pm

  • Author/Reviewer discussion period: Mar 10-21, 2024

  • Author notification: Apr 3, 2024 by 11:59pm

  • CHIL conference: June 27-28, 2024


-----------------------DOCTORAL SYMPOSIUM-----------------------


The AHLI CHIL 2024 Doctoral Symposium is an opportunity for PhD students to broadcast their research and get feedback on their directions from CHIL attendees and leaders in the field. Participants will present their ongoing and/or future doctoral dissertation work as both a 5 minute lightning presentation and as a poster, encouraging discussion of ideas with senior leaders and CHIL participants. Our main CFP can give an indication of the areas that are covered in CHIL. In addition to the lightning talks and poster session, participants will have facilitated opportunities to connect with and meet established researchers one-on-one throughout the conference. The Doctoral Symposium will be held on June 28, 2024 in New York City, NY, United States. It is an in-person event.

Important Dates

  • Application due: Feb 9, 2024 11:59 PM EST

  • Notification: April 3, 2024

  • Doctoral Symposium: June 28, 2024 (New York City, NY, USA)

Application

Please apply by filling out the application form at https://forms.gle/w21NGS8X59N2QnMu9 by February 9, 2024.

We welcome applications from Ph.D. students in computer science, data science, medical/health informatics, and other related fields. Successful candidates can be either senior students with concrete dissertations or junior students without full plans who may benefit from feedback from other participants.

Contact Us

Please direct questions to: in...@chilconference.org and follow us on Twitter at @CHILconference.



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