Interested in promoting equity in healthcare? Join us, the Office of Health Equity Research and Yale Biomedical Informatics & Data Science, for a seminar by Dr. Emma Pierson Emma Pierson on machine learning and healthcare equity.
medicine.yale.edu/genetics/event… Yale School of Medicine affiliates welcome!

Want to know the state of AI & Cardiology? Our #JACC reviews are for you!
bit.ly/3J5yj4W
Pt 1: The field's most comprehensive primer. Every study you should know about in 1 place
Pt 2: Tackling today's evidence, equity, & regulatory challenges
Eric Topol Matthew Lungren MD MPH

A pleasure to collaborate on this review of AI for cardiovascular care, I learned a lot!

It was a lot of fun to guest lecture for Opportunity Insights 'Using Big Data to Solve Economic and Social Problems' (opportunityinsights.org/course/) - it's one of the classes I most wish I could've taken, the students asked great questions, and it's taught in this beautiful building!

Spring at Princeton is absolutely stunning :) A pleasure to speak at the Quantitative Social Science Colloquium - many thanks to Princeton Politics for the invitation!

New white paper: Stanford HAI and Black in AI join forces to present considerations for The Black Caucus’s policy initiatives by highlighting where AI can exacerbate racial inequalities and where it can benefit Black communities. Read here: hai.stanford.edu/white-paper-ex…

Honored to have been named an AI2050 fellow by Schmidt Sciences. This award recognizes work with a wonderful group of students and collaborators, and I'm very much looking forward to working with the other fellows.

news.cornell.edu/stories/2024/0…

Submit your work on applying LLMs for health applications in low-resource languages and settings to the All4Health Workshop!

Submission deadline extended to 3/21, workshop website here: nivi.io/all4health.

Our paper on the limitations of coarse race categories (arxiv.org/abs/2304.09270) is discussed in a very interesting The New York Times piece today on people of MENA heritage and the limitations of Census categories - nytimes.com/interactive/20…

this is a great opportunity! highly recommend attending.

Calling all postgrads 🔊 Apply for the Machine Learning in Economics Summer Institute 2024 to work with leading researchers from top institutes to push forward cutting-edge research ideas.

Find more information and the application at the link below:

buff.ly/3mm92Ls

I'm teaching 'networks and markets' for the first time this semester, and it reminded me why this stuff is so intoxicating. A bunch of deep, important ideas that are easy to explain with little math in a few minutes.

So excited to announce my first first author paper has been accepted to #CHI2024 🎉 I had a great time working with Marianne Aubin Le Quéré, Jenny Fu, Danaë Metaxa (@[email protected]), Christin Munsch, & Mor Naaman

Sunset over snowy Cornell Tech :)

I’m recruiting PhD students and there are still a few days left to apply! If you’re excited about working at the intersection of HCI and AI, come join my new group MIT EECS. Please submit at gradapply.mit.edu/eecs by 12/15!

I have an article in the New England Journal of Medicine NEJM about accuracy and equity in risk prediction, based on my own experiences as a patient. Thanks to colleagues, family, peer reviewers, and editors for very helpful comments.

nejm.org/doi/full/10.10…

NEW 'Optimizing for What?' ESSAY: A new experiment from researchers @Cornell_Tech and UC Berkeley finds that ranking content based on users’ stated preferences—not the engagement-based algorithm—can reduce polarizing and divisive content on social media. knightcolumbia.org/content/engage…

Episode 9 of Bio(un)ethical is out!

Marc Lipsitch: How to Ethically Prevent the Next Pandemic

We chat with Marc Lipsitch about:

- What policymakers got wrong during COVID
- Whether backlash was preventable
- The value of research with potential pandemic pathogens
- A lot more