Sherri Rose

@sherrirose

Associate Professor, Department of Health Care Policy, . Co-Director . Co-Editor . Computational Health Economics & Outcomes.

Boston, MA
Vrijeme pridruživanja: lipanj 2008.

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  1. Prikvačeni tweet
    5. lis 2017.

    Beyond honored to receive an NIH Director's New Innovator Award to develop generalizability methods for health outcomes.

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  2. prije 20 sati
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  3. proslijedio/la je Tweet
    3. velj

    2020 NBER Conference on the Economics of AI — Submission deadline June 1.

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  4. 3. velj

    New paper: Technology and Big Data Are Changing Economics by Janet Currie, Henrik Kleven & Esmée Zwiers "Event studies and bunching approaches are more recent...linked to the increased use of administrative data sources" Machine learning also on the rise

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  5. proslijedio/la je Tweet
    27. sij

    This summer, will receive the Mid-Career Award for achievements in the development and application of innovative causal inference methods. Dr. Rose will deliver an invited award lecture during the Causal Inference Summer Institute:

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  6. proslijedio/la je Tweet
    24. sij

    Honored to receive the Early Career Public Health Research Award which honors an outstanding early-career investigator. Many thanks 2 4 nominating me and for being the kind of colleague that is committed to lifting scholars up!

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  7. proslijedio/la je Tweet
    13. sij

    Excited that our commentary is out, discussing how AI could be used to correct, not create, disparity!

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  8. 9. sij

    Honored to receive the Mid-Career Award from the ASA Health Policy Statistics Section at and be co-winner with ! ☺️

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  9. proslijedio/la je Tweet
    6. sij

    At a minimum, a model should be reproduced, and ideally replicated, before it is deployed in a clinical setting

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  10. proslijedio/la je Tweet

    In 2019, Health Policy Data Science Lab trainees made fantastic contributions to scientific knowledge. This is a non-exhaustive thread highlighting a few of these works! And five of these scholars are on the job market. 👩‍🏫👨‍🏫

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  11. 20. pro 2019.

    Our paper on fair regression is now forthcoming in ! Biometrics link ArXiv Code Discussed next steps needed to bring this work to practice at the recent Int’l Risk Adjustment Network meeting

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    HMS’ Sherri Rose explores the enthusiasm surrounding machine learning and AI and cautions scientists to temper the excitement with a clear-eyed understanding of limitations (via )

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    "It has become commonplace to evaluate machine learning algorithms based on overall measures like accuracy or area under the curve. However, one evaluation metric cannot capture the complexity of performance." Nice (and realistic) article by

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    Two great balancing reads for those interested in social justice-oriented data science. First, from Dr. Sherri Rose () cautioning about what and who are served by health algorithms.

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  15. 12. pro 2019.

    What is machine learning for clinical decision-making actually delivering? In my new op-ed, I ask you to pay attention to what you don't see reported in the data and metrics.

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  16. proslijedio/la je Tweet
    11. pro 2019.

    Attended 2 stimulating talks today. One by on "Understanding and Reversing the Opioid Overdose Crisis." Another on "Machine Learning for Health Services Research" by . Thank you both for visiting and sharing your research with us.

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  17. proslijedio/la je Tweet
    9. pro 2019.

    LIVE Session Workshop 2019 by Elaine Nsoesie PhD at the at is already ongoing. She is talking about digital epidemiology & use of digital data to improve health. Watch LIVE by clicking

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  18. proslijedio/la je Tweet
    7. pro 2019.

    Happy to announce our keynote speakers for CHIL 2020: Yoshua Bengio, Sherri Rose (), Nigam Shah (), and Ruslan Salakhutdinov (). A reminder that the deadline for papers is in *just over a month* (13th January), see our CFP:

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  19. proslijedio/la je Tweet

    🎧 Episode 3 of Casual Inference with and is out! Featuring: ⭐️ Special guest 🤖 Discussion of fairness in machine learning 🗣 Shout out to baby yoda ➕ And more! 🙏 Sponsor:

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  20. 22. stu 2019.

    Are you an early career researcher in health economics and outcomes research? Or know an early career researcher who is doing exceptional work? The Awards Council is seeking nominations for the Bernie J. O'Brien New Investigator Award.

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  21. 19. stu 2019.

    As the editors of , and I are thrilled to share this free access multidisciplinary collection of commentaries on machine learning for causal inference. All 5 pieces are linked in our editorial about the series:

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