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John W. Ayers

From Wikipedia, the free encyclopedia
John W. Ayers
NationalityAmerican
Alma materJohns Hopkins University
Known forPublic health informatics
Scientific career
FieldsEpidemiology
InstitutionsUniversity of California, San Diego

John W. Ayers is an adjunct associate professor and epidemiologist at University of California, San Diego, affiliated both with the university's School of Medicine[1] and its Qualcomm Institute.[2] He researches in the field of public health informatics and the use of social media data in detecting behavioral health trends.[3] His public health research expertise is in studying the circulation of information online. Trained in both political science and data science, he has published in medical journals including Journal of the American Medical Association, JAMA Internal Medicine, American Journal of Public Health, and American Journal of Preventive Medicine. His research findings have been featured in national and international media sources, including The New York Times, The Washington Post, Los Angeles Times, Time, and Newsweek.[4]

Education

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Selected publications

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References

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  1. ^ "John Ayers, UCSD Profiles". UC San Diego. UC San Diego. Retrieved 6 June 2023.
  2. ^ "Faculty & Staff". Qualcomm Institute. Qualcomm Institute at UC San Diego. Retrieved 6 June 2023.
  3. ^ Ayers, John W.; Althouse, Benjamin M.; Dredze, Mark (2014-04-09). "Could Behavioral Medicine Lead the Web Data Revolution?". JAMA. 311 (14): 1399–1400. doi:10.1001/jama.2014.1505. ISSN 0098-7484. PMC 4670613. PMID 24577162.
  4. ^ "John W. Ayers Personal Website". Retrieved June 28, 2017.
  5. ^ Ayers Biosketch
  6. ^ "Study finds ChatGPT outperforms physicians in providing high-quality, empathetic advice to patient questions". Qualcomm Institute. Qualcomm Institute at UC San Diego. Retrieved 6 June 2023.
  7. ^ "Research Letter". JAMA Network. JAMA. Retrieved 7 June 2023.