Leo Schmallenbach

Postdoctoral researcher @MannheimBSchool. Passionate about the Sociology and Economics of Innovation.

[Leo Schmallenbach @LSchmallenbach]

What is the current state of AI applications in life science research? And how is this type of research distributed geographically?

In a new study just published in @NatureComms, Marc Lerchenmüller, Till Bärnighausen and I explore these questions from different angles.

🧵1/12

[Nature Medicine @NatureMedicine]

RESEARCH

Longitudinal analyses reveal misalignment between global #research efforts & disease burden, a gap expected to widen over the next 20y by the withdrawal of US public #funding for international research.

#publichealth

https://t.co/JrsCLVzUqy

[Leo Schmallenbach @LSchmallenbach]

We study the same diseases today as 20 years ago - even though global health needs have shifted.

Our new @NatureMedicine study shows: unless research priorities adapt, the gap between what gets studied and what causes the most harm will grow again.

https://t.co/ddKKMxtjuN

[Ash Paul @pash22]

Global distribution of research efforts, disease burden, and impact of US public funding withdrawal
https://t.co/9HaedEIiwr via @LSchmallenbach et al

[Anupam Jena @AnupamBJena]

Check out new @NatureMedicine study by my friends Marc and Carolin Lerchenmueller & @LSchmallenbach

https://t.co/8ySZZDdofH

[Rem Koning @orgRem]

🚨 We're hiring! 🚨

The Tech for All Lab is looking for a postdoc.

If you're a researcher excited about Generative AI, entrepreneurship/innovation in undeserved markets, and field experiments, apply here: 🔗 https://t.co/soqyu5tqxk

[Kevin A. Bryan @Afinetheorem]

Super excited to publicly launch "All Day TA", a product @joshgans and I have been working on with our team over the last year. Short version: if you teach in spring, you will want to use this! It's the future of higher education. A short thread: 1/x

[Jennifer Kao @jenn_kao]

1/ Excited that my paper on competitive dynamics and information disclosure is now forthcoming in Management Science. https://t.co/iTtG1HpMFI

[Jennifer Kao @jenn_kao]

1/ Announcement #2 of the day 🥳: Thrilled to announce my paper on Academic Medical Centers, with @pierre_azoulay and @m_heggeness, is now published in Research Policy. https://t.co/ihq3Uro2cn

[Michael E. Rose 🇺🇦 @Michael_E_Rose]

#sosia 1.0 is out! 🖥️ A stable, efficient and reasonably fast version of our #opensource #Python package to find controls for scientists in #Scopus. Jointly developed by

@SHBaruffaldi
and me, we hope this tools enables some interesting research! https://t.co/fz24cZkJZT

[Arnaud Dyevre @ArnaudDyevre]

I just read the paper in full; it is even more spectacular than I initially thought.
A short thread about the results and their significance.

[Leo Schmallenbach @LSchmallenbach]

@yash_econ Who’s that and what did we do?

[Industry & Innovation @industry_innova]

💡 Having a great idea for a dedicated Special Issue on an innovation-related topic? Here is our annual Call for Special Issue Proposals!
📨Make sure to assemble a diverse team of Guest Editors and send your proposals by January 31, 2025, using this form: https://t.co/bonluFMRU5

[Teppo Felin @teppofelin]

Theory, Search, and Learning
https://t.co/IhhuVMCc0c by @OSorenson

[nivelepsilon @FpeSre]

AI in life science: Northern America and Europe are hogging the limelight, while Asia churns out the papers. Sounds like a recipe for scientific imbalance. The future of medicine: brilliant, but potentially biased. #AI #LifeScience
https://t.co/JTr63Nwyaq

[Kalipso Chalkidou @kchalkidou]

"The world regions of Latin America and Africa remain largely absent from the global atlas of AI life science research." https://t.co/DtQbMu2sq0

[Rituparna Ghosh @RitupaGhosh]

The global geography of artificial intelligence in life science research.
#ArtificialInteligence
https://t.co/2bqT048EpJ

[Anupam Jena @AnupamBJena]

Interesting study by my friend and colleague Marc Lerchenmueller on use of AI in life sciences globally
https://t.co/tTGiNBXpeW

cc @CLerchenmueller

[Leo Schmallenbach @LSchmallenbach]

Geographic integration of AI life sciences research seems warranted for AI to realize its full potential to transform medicine for the better for global patient populations.

Link to full study: https://t.co/YosGgjscR7

@emollick @NurAhmedB @ProfNeilT

#AI #LifeScience

12/12

[Leo Schmallenbach @LSchmallenbach]

What is the current state of AI applications in life science research? And how is this type of research distributed geographically?

In a new study just published in @NatureComms, Marc Lerchenmüller, Till Bärnighausen and I explore these questions from different angles.

🧵1/12

[Leo Schmallenbach @LSchmallenbach]

Collectively, our findings point to a geographic concentration of AI life science research.

Because AI applications uniquely require (ubiased) training data, infrastructure, and human capital, this can potentially have a negative impact on future global healthcare.

11/ 12