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Reposted by Michael Knaus

Ulrike Luxburg @ulrikeluxburg.bsky.social · 22d

I am hiring PhD students and/or Postdocs, to work on the theory of explainable machine learning. Please apply through Ellis or IMPRS, deadlines end october/mid november. In particular: Women, where are you? Our community needs you!!!

imprs.is.mpg.de/application
ellis.eu/news/ellis-p...

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Michael Knaus @mcknaus.bsky.social · 26d

🚨Job alert🚨

Premium tenure-track (ass to full prof) in "𝐌𝐋 𝐌𝐞𝐭𝐡𝐨𝐝𝐬 𝐢𝐧 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐚𝐧𝐝 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜𝐬" @unituebingen.bsky.social made possible by @ml4science.bsky.social

Spread the word and feel free to reach out if you have any questions about the position or the environment.

Link: shorturl.at/QHZ5G

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Michael Knaus @mcknaus.bsky.social · May 30

Me too 😄 I just pitched a vague idea to my research/art assistant and he came back with this.

Michael Knaus @mcknaus.bsky.social · May 28

The OutcomeWeights #RStats package now has a logo and a new vignette illustrating how Double ML improves covariate balance over "Single ML" RA or IPW.

Check it out:
mcknaus.github.io/OutcomeWeigh...

#causalSky #causalML

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Reposted by Michael Knaus

Dominika Langenmayr @dlangenmayr.bsky.social · May 22

Wir suchen jemanden, der im WS 25/26 unseren vakanten Lehrstuhl für Statistik und Quantitative Methoden in den Wirtschaftswissenschaften vertritt. Auch die Dauerstelle wird bald ausgeschrieben. Wir freuen uns über nette, engagierte Kollegen! Gerne teilen... Link im nächsten Post.

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Reposted by Michael Knaus

Ulrike Luxburg @ulrikeluxburg.bsky.social · May 23

Our cluster Machine Learning for Science is up for 7 years more funding!

ML for Science @ml4science.bsky.social · May 22

We're super happy: Our Cluster of Excellence will continue to receive funding from the German Research Foundation @dfg.de ! Here’s to 7 more years of exciting research at the intersection of #machinelearning and science! Find out more: uni-tuebingen.de/en/research/... #ExcellenceStrategy

The members of the Cluster of Excellence "Machine Learning: New Perspectives for Science" raise their glasses and celebrate securing another funding period.

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Michael Knaus @mcknaus.bsky.social · May 23

Excellent news! The "Machine Learning for Science" cluster is an incredible public good for researchers @unituebingen.bsky.social interested in ML in all its facets.
Great job by @philipp.hertie.ai, @ulrikeluxburg.bsky.social and the cluster team.

Philipp Berens @philipp.hertie.ai · May 23

We are incredible happy to be able to continue our work of developing new #AI4science across a wide range of disciplines with incredible colleagues in #physics, #neuroscience, #cogsci, #geoscience, #linguistics, #economics, #medicine, #philosophy, #law and #anthropology!

@unituebingen.bsky.social

ML for Science @ml4science.bsky.social · May 22

We're super happy: Our Cluster of Excellence will continue to receive funding from the German Research Foundation @dfg.de ! Here’s to 7 more years of exciting research at the intersection of #machinelearning and science! Find out more: uni-tuebingen.de/en/research/... #ExcellenceStrategy

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Reposted by Michael Knaus

ML for Science @ml4science.bsky.social · May 22

We're super happy: Our Cluster of Excellence will continue to receive funding from the German Research Foundation @dfg.de ! Here’s to 7 more years of exciting research at the intersection of #machinelearning and science! Find out more: uni-tuebingen.de/en/research/... #ExcellenceStrategy

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Reposted by Michael Knaus

INOMICS @inomics.bsky.social · May 13

Junior Professorship (W1) with tenure track (W3) in Statistics and Empirical Economics #Econsky

Junior Professorship (W1) with tenure track (W3) in Statistics and Empirical Economics

The future job holder shall be responsible for the subject area Statistics and Empirical Economics with a methodological focus in research and teaching. The professorship offers central courses in the field of statistics, empirical economics, and statistical data science in both the German-language Bachelor and English-language Master programs of the Faculty of Business, Economics and Social Sciences. Active participation in the Faculty's PhD program and in the…

dlvr.it

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Reposted by Michael Knaus

Bruno Ferman @brunoferman.bsky.social · Apr 29

🧵New survey paper: "Inference with Few Treated Units"
Luis Alvarez, Bruno Ferman and Kaspar Wüthrich

Tired of referees saying your standard errors are wrong?

This survey will help you understand if you really have a problem — and, if so, how to fix it!

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Reposted by Michael Knaus

Michael Knaus @mcknaus.bsky.social · Apr 25

One of my favorite parts is running OLS within the DoubleML package of @philippbach.bsky.social and colleagues.
Of course this is unnecessarily complicated, but instructive.

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Reposted by Michael Knaus

Econometrica @ecmaeditors.bsky.social · Apr 25

How can we design algorithms that maximize social welfare, rather than profits? This paper merges multi-armed bandits and adversarial learning with optimal tax theory and welfare economics. @maxkasy @NicoloCB @Rcolomboni buff.ly/pxPY8nj

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Michael Knaus @mcknaus.bsky.social · Apr 25

@dariia.bsky.social

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Michael Knaus @mcknaus.bsky.social · Apr 25

If you find this interesting and want the recording of the session, you can still get access for a donation via sites.google.com/view/dariia-...

Dariia Mykhailyshyna - Workshops for Ukraine

Feedback on the past workshops (if you want to learn how to make wordclouds, check out Text Data Analysis workshop below)

sites.google.com

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Michael Knaus @mcknaus.bsky.social · Apr 25

One of my favorite parts is running OLS within the DoubleML package of @philippbach.bsky.social and colleagues.
Of course this is unnecessarily complicated, but instructive.

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Michael Knaus @mcknaus.bsky.social · Apr 25

One year ago I gave a #CausalML Workshop for Ukraine 🇺🇦
We hand-coded DoubleML and causal forest in very few lines of code to exactly replicate their package outputs.
If you better understand theory through coding like me, check it out.
You find the R notebook now online: shorturl.at/uM82n
#RStats

Introduction to Causal ML estimators in R

shorturl.at

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Reposted by Michael Knaus

Maximilian Kasy @maxkasy.bsky.social · Apr 24

🤖 Interested in machine learning, economics, and the state of AI?🤖

In September, I will teach a 1-week intensive version of my course on foundations of ML (maxkasy.github.io/home/ML_Oxfo...) in our summer school.

Apply here: ouess.web.ox.ac.uk/september-su...

Spread the word!

Foundations of Machine Learning

Research on machine learning, experimental design, economic inequality, and optimal policy

maxkasy.github.io

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Michael Knaus @mcknaus.bsky.social · Mar 25

I am a fan of this one, though it is not diverging but converging: doi.org/10.1016/j.ec...
It is so obvious where the policy change happens that it is not even indicated...

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Reposted by Michael Knaus

Jaap Abbring @jaap.abbring.org · Mar 20

#EctJ published a SI celebrating the seminal contributions of Philip G. Wright to causal inference in economics. Both our editorial & reproduction of Wright (1928) are free to read.

@resmedia.bsky.social @p-hunermund.com @borusyak.bsky.social @instrumenthull.bsky.social

res.org.uk/celebrating-...

Celebrating Philip G. Wright’s legacy: directed acyclic graphs and instrumental variables - Royal Economic Society

The Econometrics Journal published a special issue celebrating the seminal contributions of Philip G. Wright (1928).

res.org.uk

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Reposted by Michael Knaus

Paul Goldsmith-Pinkham @paulgp.com · Mar 19

Interesting new paper: arxiv.org/pdf/2503.09907

improves on both rdrobust and rdhonest!

Quite compelling... 1/n

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Juan Moreno-Cruz @jmorenocruz.bsky.social · Mar 18

It’s finally out! People, I’ve been hearing about this paper for so many years, but I am grateful it is out.

Andrew Baker, Brantly Callaway, Scott Cunningham,
Andrew Goodman-Bacon, Pedro H. C. Sant’Anna

www.linkedin.com/posts/andrew...

arxiv.org/abs/2503.13323

Difference-in-Differences Designs: A Practitioner's Guide

Difference-in-Differences (DiD) is arguably the most popular quasi-experimental research design. Its canonical form, with two groups and two periods, is well-understood. However, empirical practices c...

arxiv.org

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Vladislav Morozov @vladislavmorozov.bsky.social · Mar 18

Just uploaded the first block of my lecture notes on econometrics with unobserved heterogeneity! 📊

Introduction and a block on average effects in linear models with heterogeneous coefficients — why standard estimators fail and a robust approach.

Link below.

#econsky

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Reposted by Michael Knaus

Achim Zeileis @zeileis.org · Mar 10

Our dept/faculty @[email protected] is looking for a senior scientist

- to coordinate a new master program

- to teach statistics & data science in that master (and beyond)

German skills needed. Further details & online application at:

lfuonline.uibk.ac.at/public/karri...

Screenshot of the job offer online at https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=14873

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Reposted by Michael Knaus

Georg Weizsäcker @georgweizsaecker.bsky.social · Mar 9

Among the many good things about support for 🇺🇦: Doing it together

This coordination of donations is open until tomorrow 10am CET 👇 and support via any other channel is equally good, too.

Tatyana Deryugina @tderyugina.bsky.social · Mar 8

Check out a novel way to give to Ukraine with maximum impact. Pledge the max you're willing to give and if the same number of people do the same, your contribution gets squared.

Ends March 10, so hurry. More details here.

yourcontributionsquared.eu/en/

Your Contribution Squared

yourcontributionsquared.eu

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Reposted by Michael Knaus

csteinwender.bsky.social @csteinwender.bsky.social · Mar 6

we are looking for an Associate Professor (tenure track) in applied Economics, pls share: www.timeshighereducation.com/unijobs/list...

Professorship (W2) of AI in Economics - Munich (City), Bavaria, Germany job with LUDWIG MAXIMILIANS UNIVERSITAET MUENCHEN | 389325

All AI that are relevant to the field of economics under the application of modern statistical methods will be expected to teach courses at all levels

www.timeshighereducation.com

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