Asst Professor @Wharton. PhD @BerkeleyHaas, alumnus @ScuolaSantAnna and @Unipisa. Strategy, innovation, economics of science. Always looking for data on data.
Philadelphia, PA
Joined January 2020
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Manav Raj and I are looking for a pre-doctoral researcher to join us at @Wharton @MackInstitute
If you're interested in topics like competition, innovation and drug discovery, please apply!!
Details & apply: wd1.myworkdaysite.com/en-US/…
#predoc #EconTwitter
@econ_ra
@predoc_org
Matteo Tranchero retweeted
Now that everyone is talking about the impact of AI on labor, here is a quick thread with some key findings from the broader literature.
TLDR; there is some evidence of both, AI enhancing and reducing gaps among low- and high-performers.
Pull the thread to learn more 🧵👇
Matteo Tranchero retweeted
@BerkeleyHaas Prof Abhishek Nagaraj (@abhishekn) and @Wharton Prof Matteo Tranchero (@MTranchero) are looking for pre-docs! Candidates will be hired by the National Library of Medicine to use advanced econometric methods to evaluate NLM data technologies. bit.ly/3CM4IxV
Happy to see some of my work featured in my favorite research newsletter! I always learn a lot from reading @mattsclancy's integrative reviews, and this time was no exception.
I'm always eager to find new partners in crime to push forward this research agenda, so do reach out!
Matteo Tranchero retweeted
Calling all PhD students interested in innovation -- Submit your work to the 8th Annual Wharton Innovation Doctoral Symposium; highly recommended!
mackinstitute.wharton.upenn.…
Matteo Tranchero retweeted
Matteo Tranchero retweeted
The EU AI Act seems designed to allow AI only for routine tasks while hindering its use in high-level problem-solving.
This will endanger European AI startups and significantly damage EU productivity.
THREAD on our post today in Silicon Continent.
1/9
Matteo Tranchero retweeted
Very Cool (& timely) paper by @MTranchero @abhishekn Arul Murugan, & Cecil-Francis Brenninkmeijer.
tl ; dr - #LLM can replicate human behavior in experimental settings, drive new insights, & accelerate theory in management research.
[LINK] nber.org/papers/w33033
@nberpubs
Matteo Tranchero retweeted
Large Language Models can accelerate the pace at which researchers can develop, validate, and extend strategic management theory, from @MTranchero, Cecil-Francis Brenninkmeijer, @_arulm_, and @abhishekn nber.org/papers/w33033
Check this out!! We are careful in drawing the line between what GenAI is good vs not when it comes to generate new social science theory. For us, LLMs are a *complement* to researchers with good theories (not a substitute [yet!]).
Send us your thoughts and comments!!
🚨New research alert! 🚨
Tired of expensive, time-consuming experiments? 😴 We propose a new way to test and extend social science theories with an LLM-based framework: Generative AI-Based Experimentation (GABE) 🤖
abhishekn.com/publications-a…
w/ @MTranchero @_arulm_ & Cecil B.
Matteo Tranchero retweeted
So at @AOMConnect 2024, my dear student & co-author @MTranchero won the Newman dissertation award.
This is the highest award a dissertation could get in the academy -- so we at @BerkeleyHaas are delighted!
If you are interested in joining in his footsteps apply to our PhD program!
(haas.berkeley.edu/phd/academ…)
Matteo Tranchero retweeted
Join us at this year's @AOMConnect PDW in Chicago for a PDW on Empirical Research on Organizational Search, featuring amazing scholars who will share their insights (Sponsored by @AOM_STR @AOM_TIM @ENT_Div_AoM @AOM_OMT) (1/n)
🗓️Very excited to participate in the workshop "Omics Data Resources" next July 11-12 @NIHAging @NIH
🔬I'll talk about ways to encourage the public provision of large-scale databases for scientific research
👇If you are interested in this and related topics, sign up!!
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Matteo Tranchero retweeted
✨The STR Division congratulates David Teece @David_J_Teece on being selected as the 2024 #STR Distinguished Scholar Award, and thanks him for his many seminal contributions to the field of strategic management. 👍👍
Read more here: str.aom.org/discussion/david…
#AOM2024
Matteo Tranchero retweeted
check it out! excited to have this out this week.
Exploring whether to use past data or start with a blank slate finds that under some conditions data can lead agents to look under the lamppost, constraining search and harming payoffs, from Hoelzemann, Manso, @abhishekn, and @Matteo Tranchero nber.org/papers/w32401
I had a great time attending last year -- If you are on the job market, don't miss this out!! The roster of mentors this year is simply stellar
#mgmtwitter PhD students on the job market -- now accepting applications for the @AOM_TIM doctoral consortium with @hyunjinvkim!
Apply if you're working on an innovation-related dissertation, going on the job market next year: forms.gle/Mn6AaoXCjNynrwk18
Matteo Tranchero retweeted
Big thanks to my former @BerkeleyHaas student and current US Head of Capital Markets at the NYSE, Bonnie Hyun, for this recognition and photo.
Matteo Tranchero retweeted
Can not studying popular genes cost you your career?!
Check out how the probability of a junior scientist to transition to a principal investigator is lower if the genes they research are less studied. The overall decreasing probability is also really depressing! (from Fig. S10)
ALT https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.2006643#pbio.2006643.s010
Matteo Tranchero retweeted
Amazing afternoon mini-conferencing with fellow west coast innovation/entrepreneurship peeps (@FrancescaTruffa @MTranchero @krisgulati @mattsclancy) - thanks to Christian Fons Rosen for organizing. Such a privilege to hang out with friends and discuss cool cutting-edge ideas!
