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    October 21-23, 2024

    What is NYCPW?

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    The New York Computational Psychiatry Course (NYCPW) is an immersive, hands-on three-day workshop designed to provide participants with the latest tools and knowledge in computational psychiatry. Our aim is to bridge the gap between computational methods and clinical applications.

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    The New York Computational Psychiatry Course (NYCPW) is an immersive, hands-on three-day workshop designed to provide trainees with the latest tools and knowledge in computational psychiatry. Our aim is to bridge the gap between computational methods and clinical applications.

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    The course will take place at the Icahn School of Medicine Center for Computational Psychiatry (55 W 125th St, New York, NY 10027) on October 21-23, 2024. Applications are due by September 23, 2024.

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    Our Team

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    Our Team

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    Our Team

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    Our Team

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    Our Team

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    Our Team

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    Our Team

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    Our Team

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    Our Team

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    Tentative Schedule

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    TIME
    MONDAY (OCT 21)
    TUESDAY (OCT 22)
    WEDNESDAY (OCT 23)
    08:00 AMBREAKFAST + REGISTRATIONBREAKFASTBREAKFAST
    09:00 AMOPENING REMARKS + KEYNOTE
    Xiaosi Gu
    Introduction
    KEYNOTE
    Laura Berner
    Clinical computational interpretability
    TUTORIAL 5
    Baihan Lin
    LLMs for psychiatry
    10:00 AMTUTORIAL 1
    Angela Radulescu
    Reinforcement learning
    TUTORIAL 3
    Shawn Rhoads
    Model fitting, individual differences
    TUTORIAL 6
    Alisa Loosen
    Study design & replicability
    11:00 AM
    12:00 PMLUNCHLUNCHLUNCH
    01:00 PMTUTORIAL 2
    Vincenzo Fiore
    Bayesian Inference
    TUTORIAL 4
    Blair Shevlin
    Drift diffusion modeling
    BREAKOUT PROJECTS
    02:00 PM
    03:00 PMCOFFEE BREAKCOFFEE BREAKCOFFEE BREAK
    03:30 PMBREAKOUT PROJECTSBREAKOUT PROJECTSBREAKOUT PROJECTS
    04:00 PM
    05:00 PM
    05:30 PMROUND TABLEROUND TABLEROUND TABLE
    06:00 PMDINNER
    On your own
    DINNER
    On your own
    SOCIAL EVENT
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    Frequently Asked Questions

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    How much will the course cost?

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    We are aiming to keep costs low, but will likely need to charge a small registration fee for in-person (e.g., $250) and online (e.g., $50) upon acceptance.


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    Is housing provided?

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    We are not able to provide housing this year. Participants will need to coordinate your own housing arrangements.


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    Who should apply?

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    We welcome participants from all career stages in the tri-state area (e.g., New York, New Jersey, Connecticut) interested in using computational modeling to study mental health. However, our course will be primarily geared towards trainees (e.g., graduate students, postdocs). Applicants who have some experience with programming (e.g., Python, R, MATLAB) and have completed formal coursework in relevant math and statistics.


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    When is the application deadline?

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    Applications are due by September 23, 2024.


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    When will applicants be notified of their acceptance?

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    Applicants will be notified of their acceptance by September 27, 2024. Upon acceptance, please register for the course at your earliest convenience.


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    How much is the registration fee?

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    We are aiming to keep costs low, but will likely need to charge a small registration fee for in-person (e.g., $250) and online (e.g., $50) upon acceptance.


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    What is the course size?

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    We are aiming to accept 20-30 participants for the in-person course.


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    What is the format of the course?

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    The course will be a mix of lectures, tutorials, and hands-on projects. In-person participants will have the opportunity to work in small groups on a small project.


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    What is the course schedule?

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    The course will run from 9:00 AM to 6:00 PM on October 21-23, 2024. A detailed schedule will be provided to accepted participants.


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    Where is the course location?

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    The course will take place at the Icahn School of Medicine Center for Computational Psychiatry (55 W 125th St, New York, NY 10027).


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    Who can I contact for more information?

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    Please contact Shawn Rhoads and Angela Radulescu with any questions.

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    Apply by September 23, 2024

  • Home
  • About
  • Team
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