𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧 (@m

𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧

2,150 posts

𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧

@m_sendhil

Econ and EECS @ MIT

Cambridge, MA

Joined November 2011

𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
Dec 6, 2019
We used fictitious resumes to find employer bias. We used statistics to find bias in a healthcare algorithm. Side by side these studies show why discrimination perpetrated by algorithms is so very different from discrimination perpetrated by people
Biased Algorithms Are Easier to Fix Than Biased People (Published 2019)
From nytimes.com
𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
May 6, 2020
Any discussion of re-opening the economy must recognize not all businesses are the same. Some contribute more to spread than others. Cellphone data can help identify them - see for yourself in our OpEd nyti.ms/3c8gm3q 🧵
𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
Sep 13, 2018
We want algorithms that are simple and interpretable. We want algorithms that are fair A paper with Jon Kleinberg that shows why you probably can't have both arxiv.org/abs/1809.04578
𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
Mar 14, 2023
🧵1/ New paper: We argue machine learning should be used to generate truly novel hypotheses. The application: judge decision-making. We find a single factor is heavily related to who gets jailed: the defendant’s mugshot. What are judges looking at? Our method unpacks this...
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𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
May 3, 2017
Our paper on how machine learning fits in econometric toolbox w/@jannspiess J.Econ.Perspectives bit.ly/2pF5OkN 1pic summary:
𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
Jan 10, 2018
Behaviorally informed edit: To be scientifically literate is to empower yourself to know when you yourself are full of shit.
Neil deGrasse Tyson
@neiltyson
May 27, 2017
To be scientifically literate is to empower yourself to know when someone else is full of shit.
𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
Apr 21, 2021
1/2 Exciting to announce this summer school in machine learning, economics and policy! Whether you want to work in this are or already do, it's a great way to learn new tools and get research ideas. bit.ly/3dz0YQH Amazing list of faculty already lined up +more to come
𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
Sep 11, 2023
Excessive force. Unnecessary arrests. The policing problem seems intractable. A new large-scale RCT with Chicago police offers a glimmer of hope. And insight into *one* overlooked reason (obviously not the only reason) for the problems of policing bit.ly/3Ex8Rmm🧵
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𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
Jul 5, 2018
Self-replication: We re-ran the studies from our 2012 scarcity paper with larger N: learned a lot - not everything replicates (though a lot does). osf.io/7z38r/ Would encourage others try self replication Any lab interested in replicating our work? (DM me)
𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
Dec 8, 2019
I rarely feel comfortable sharing personal stories in my columns, but this one was so apt I pushed past my reticence. Full column here: nyti.ms/2qqPUPW
𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
Sep 5, 2013
Want financial advice? 2) @haroldpollack gives it free...in index card form.
𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
Oct 29, 2019
1/3: Our recent @ScienceMagazine paper finds large racial bias in an important health care algorithm. We want to help fix the problem. If you’re at a health system or a manufacturer that wants to know more or do better – contact us at [email protected] bit.ly/2BUSNKU
𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
Nov 13, 2018
Since science is entirely a team effort, I'm always a little skeptical of individual prizes. But the @InfosysPrize has a wonderful mission: "inspire young Indians to choose a vocation in research." And what an honor to contribute to that goal
𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
@m_sendhil
Oct 17, 2015
Heartbroken about police killings of African Americans, I dug into the data. It changed my thinking nyti.ms/1MIq8Jf