AI at Johns Hopkins combines the intuition and understanding of human intelligence with the raw power of empirical AI to transform discovery.

AI-X Foundry

The Johns Hopkins AI-X Foundry is a university-based organization with an ambitious global vision: the intentional collaboration of human and artificial intelligence (AI), with AI learning from humans and humans learning from AI, bringing their complementary strengths together towards the goal of understanding and improving the human condition.

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Related Institutes
11:00 am / 12:00 pm
May 30
Measuring Mental and Physical Health using Social Media
Tuesday, May 30
11 a.m.-12 p.m.
Malone 228, Johns Hopkins University Homewood Campus
Zoom: https://wse.zoom.us/j/93478802403
Abstract: The content shared on social media is among the largest data sets on human behavior inhistory. We leverage this data stream to unobtrusively measure the mentaland physical health and well-being of individuals and populations using machine learning and Natural Language Processing (NLP). For depression, machine learning models applied to patients' Facebook statuses can predict their future depression status before it appears in their medical records. For heart disease, the leading cause of death, prediction models derivedfrom geo-tagged Tweets can estimate county mortality rates better than traditional health risk factors. For well-being, Twitter can be used to estimate the subjective well-being of nations while controlling for sampling biases, with resolution unmatched by any other method. In emerging work,Johannes explores the use of Large Language Models to promote well-being and mental health, and highlights some of the many psychological and social impacts LLMs will have on society.
Bio: Johannes Eichstaedt is an Assistant Professor (Research) in Psychology at Stanford and a Shriram FacultyFellow at the Institute for Human-Centered A.I., where he directs the Computational Psychology & Well-Being Lab. He is a computational psychologist and interdisciplinary data scientist studying the mechanisms that give rise to mental and physical health by applying NLP to digital text. In 2011, he co-founded the World Well-Being Project; with this inter-institutional consortium, he has since attracted $4.9m+ in funding and published 60+ articles. Johannes received his Ph.D. at the University of Pennsylvania in 2017, and in 2022 was elected a Rising Star by the Association of Psychological Science.
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2023 IEEE Conference on Assured Autonomy (ICAA)

Johns Hopkins University Applied Physics Laboratory (JHU/APL), Parsons Auditorium @ 11100 Johns Hopkins Rd, Laurel, MD 20723
June 6 to June 8
The 2023 IEEE International Conference on Assured Autonomy (ICAA) will take place from June 6-8, 2023 at the Johns Hopkins University Applied Physics Laboratory in Parsons Auditorium. The conference, which includes keynote speeches and paper presentations, is co-sponsored by IAA.
Registration: https://web.cvent.com/event/cb3ab2c8-b5ff-491d-bca3-5496f841e727/summary.
Full conference schedule: https://icaa-conf.github.io/icaa2023/.
Tickets: https://web.cvent.com/event/cb3ab2c8-b5ff-491d-bca3-5496f841e727/summary.
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Related Institutes
11:00 am / 12:00 pm
June 20
Additional details coming soon.
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Related Institutes
11:00 am / 12:00 pm
July 18
Additional details coming soon.
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