Health AI Lab | samantha kleinberg
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healthailab.org
Health AI Lab | samantha kleinberg
@healthailab.org
Health and AI Lab at Stevens Institute of Technology. Causal inference, precision nutrition, diabetes, decision making, and health informatics. http://www.healthailab.org
Causal messages share what an action can do (like reduce risk of diabetes) while non-causal ones only suggest the action. In qualitative feedback, participants did notice the connection to their goals.
November 25, 2025 at 1:54 PM
SO important, especially as people try to argue science somehow exists separately from values. 🤔
July 31, 2025 at 9:27 PM
This is a great article on why bias against applied ML matters: www.technologyreview.com/2020/08/18/1...
Too many AI researchers think real-world problems are not relevant
The community’s hyperfocus on novel methods ignores what's really important.
www.technologyreview.com
June 18, 2025 at 1:46 PM
Not your fault! Most people just do not need this data and forget that it can have downsides. It’s always a good time for a data diet: www.statnews.com/2024/01/08/f...
Americans are obsessed with health and fitness tracking. It’s time for a data diet
Americans are obsessed with health and fitness tracking. It’s time for a data diet.
www.statnews.com
June 4, 2025 at 7:27 PM
I love showing screenshots when I teach health informatics along with how much companies spend on EHRs. Students are always shocked!
May 1, 2025 at 6:39 PM
There are so many ways to improve conferences but yikes at the idea of focusing on innovation and concepts rather than whether things actually work. Our recent paper shows this may worsen gender disparities in CS ieeexplore.ieee.org/document/109...
Where the Women Are: Gender Imbalance in Computing and Faculty Perceptions of Theoretical and Applied Research
Women remain under-represented in academic science, and this is especially true in computing. While little is known about the role of gender differences in research focus, there is evidence that women...
ieeexplore.ieee.org
April 27, 2025 at 1:42 PM
What can we do?
1) Raise awareness in hiring and evaluation
2) Rethink use of CSRankings, which excludes many applied venues
3) Understand how perceptions of a candidate’s research type may unfairly shape perceptions of them as a researcher (like judging them less technically capable). 5/5
April 24, 2025 at 8:20 PM
Women are more likely to do applied research: Using data from papers and grants we found women are more represented in applied CS relative to their share of CS faculty. Biases against applied research may disproportionately affect women. 4/5
April 24, 2025 at 8:20 PM
There’s a real penalty for applied research: it is underrepresented at top conferences, among recipients of major awards, and in hiring at top-ranked CS departments. 3/5
April 24, 2025 at 8:20 PM
Applied research is seen as lower status: Theoretical researchers were rated more likely to publish, get tenure/grants, and win awards. They were also seen as more brilliant/creative/skilled, despite the work itself being valued. Like teaching and service someone should do it, but maybe not them 2/5
April 24, 2025 at 8:20 PM
Now published! authors.elsevier.com/a/1k%7EYs5SM... Code available here: github.com/health-ai-la... really excited about this one!
authors.elsevier.com
April 24, 2025 at 7:39 PM
Wow, so sorry to hear this. I hope you’ll find a way to share the results and continue your work!
April 16, 2025 at 9:58 PM