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Alex Alekseev

@aalexee.bsky.social
773 followers 136 following 67 posts

Behavioral/experimental/labor economist interested in AI/robots/automation. Assistant Professor at the University of Regensburg, former Chapman ESI postdoc, GSU AYSPS grad. 🇷🇺-🇺🇸-🇩🇪 aalexee.com

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Alex Alekseev @aalexee.bsky.social · 21/07/2026
📋 Wrote up the story behind our "A Taxonomy of Al Experiments" paper with Christina Strobel, as well as a quick summary. aalexee.com/post/2026-07... You can check out the full paper at www.sciencedirect.com/science/arti...
aalexee.com
A Taxonomy of AI Experiments | Aleksandr Alekseev
AI is everywhere these days. Including economic experiments. But what exactly are AI experiments? What bar does an experiment have to clear to deserve that honorable label? That’s the very question Ch...
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Alex Alekseev @aalexee.bsky.social · 09/06/2026
🥳Excited to see our SI on "Artificial Intelligence and Machine Learning in Behavioural Experiments" at JBEE completed! @elseviersej.bsky.social www.sciencedirect.com/special-issu... Thanks to the authors, reviewers, my co-editors Monica Capra and Oliver Kirchkamp, and the editor Pablo Brañas Garza
sciencedirect.com
Journal of Behavioral and Experimental Economics | Artificial Intelligence and Machine Learning in Behavioural Experiments | ScienceDirect.com by Elsevier
As AI technology continues to advance and become more integrated into our daily lives, it is increasingly important to understand how human beings interact with and are affected by AI. In addition, ma...
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Alex Alekseev @aalexee.bsky.social · 16/01/2026
🥳 Stoked to share that our paper with Christina Strobel, "A Taxonomy of Al Experiments," has been accepted at the Journal of Behavioral and Experimental Economics! Huge thanks to Christina for collab and to the reviewers for extremely helpful feedback! papers.ssrn.com/sol3/papers.... #EconSky
papers.ssrn.com
A Taxonomy of AI Experiments
We introduce a taxonomy of artificial intelligence (AI) experiments. Our taxonomy produces four types of AI experiments: conceptual AI experiments, stylized AI
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Alex Alekseev @aalexee.bsky.social · 23/12/2025
My Game Christmas Tree. What's on yours?
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Alex Alekseev @aalexee.bsky.social · 14/12/2025
If you are on the market and it feels tough, know this. You are amazing. You have come this far, be proud of yourself. Rejection hurts, but you are not your rejection. Know your worth, shine your light.
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Alex Alekseev @aalexee.bsky.social · 11/12/2025
I guess people do it all the time when they control for risk aversion. Personal example: papers.ssrn.com/sol3/papers.... I use risk preferences to predict behavior in another task. They don't)
papers.ssrn.com
The Economics of Babysitting a Robot
I study the costs of interacting with automation technologies in a task-switching environment. In the experiment, subjects choose between a manual option withou
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Alex Alekseev @aalexee.bsky.social · 11/12/2025
Congratulations!!
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Alex Alekseev @aalexee.bsky.social · 02/11/2025
This tip will be helpful for anyone who uses Beamer-made slides (or any PDF slides in fact) with a dual-screen setup, where the slides are projected on a big screen from a laptop in extended display mode. And who cares about their neck. aalexee.com/post/2025-11...
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Alex Alekseev @aalexee.bsky.social · 20/10/2025
Plugging in the duck race numbers, n=6000, k=100, m=3, we get about a 5% chance of winning. We didn’t win, but on the plus side it was the most rubber ducks I’ve ever seen 🦆
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Alex Alekseev @aalexee.bsky.social · 20/10/2025
Clearly, what changes here is the number of non-winning combinations. If you buy m tickets, then this number is "n-m choose k". And then we compute the probability of winning as before, although it does not simplify nicely.
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Alex Alekseev @aalexee.bsky.social · 20/10/2025
Let’s start slow. Suppose there are four tickets (A,B,C,D). But now assume that you bought tickets A and B. There are still six possible combinations of two tickets: AB, AC, AD, BC, BD, CD. But now five of them lead to a prize, hence the probability of winning is 5⁄6.
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Alex Alekseev @aalexee.bsky.social · 20/10/2025
What if you bought more than one ticket, though? What is the probability of having at least one ticket win? It cannot be simply the sum of probabilities of a single ticket winning.
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Alex Alekseev @aalexee.bsky.social · 20/10/2025
Applying the formula to the duck race, we get a probability of winning, p = 100⁄6000, about 2%.
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Alex Alekseev @aalexee.bsky.social · 20/10/2025
Then the number of winning combinations is the difference between the total number of combinations and the number of non-winning combinations. After some algebra, it turns out that the probability of winning is simply k/n.
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Alex Alekseev @aalexee.bsky.social · 20/10/2025
But what is the number of winning combinations? It seems that it is easier to find the number of non-winning combinations. This is just the total number of combinations of k elements that do not include our ticket: "n-1 choose k".
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Alex Alekseev @aalexee.bsky.social · 20/10/2025
It is easy to see the pattern. If there are n tickets in total and k randomly chosen tickets win, the total number of possibilities, which is the number of combinations of k elements from the set of n elements, is simply "n choose k".
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Alex Alekseev @aalexee.bsky.social · 20/10/2025
Now suppose there are 4 tickets (A,B,C,D). Again, you have A, two tickets win. Possible pairs are: AB, AC, AD, BC, BD, CD. You win in three pairs, hence the chance of winning is 1/2
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Alex Alekseev @aalexee.bsky.social · 20/10/2025
Suppose there are 3 tickets (A,B,C). You have A. Two tickets win. All possible pairs are AB, AC, BC. You win in two cases, hence the probability of winning is 2/3.
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Alex Alekseev @aalexee.bsky.social · 20/10/2025
If 1 ticket wins out of 6,000, and you bought 3 tickets, your chance of winning is 3/6000. But what if 100 tickets win? That’s less obvious. Let's build intuition through simple examples
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Alex Alekseev @aalexee.bsky.social · 20/10/2025
🦆 Last weekend, Regensburg hosted a duck race. 6,000 rubber ducks drifting through a canal. Each duck corresponds to a lottery ticket. The first 100 ducks to finish win prizes. We bought 3 tickets. What are our odds of winning? ➡️ Read more: aalexee.com/post/2025-10...
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Alex Alekseev @aalexee.bsky.social · 15/10/2025
Thanks so much for the support!
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Alex Alekseev @aalexee.bsky.social · 10/10/2025
Thrilled to see my paper "The (Statistical) Power of Incentives" out at the Journal of the Economic Science Association. 🥳 Read it here (open access) 👉 dx.doi.org/10.1017/esa.... #Econsky
dx.doi.org
The (Statistical) Power of Incentives | Journal of the Economic Science Association | Cambridge Core
The (Statistical) Power of Incentives
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Alex Alekseev @aalexee.bsky.social · 19/09/2025
Inspired by this amazing graphic that I found at a ramen place in Brno
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Alex Alekseev @aalexee.bsky.social · 19/09/2025
How to participate in an ESA meeting Step 1. Attend plenary talks Step 2. Attend sessions Step 3. Attend social events Step 4. Meet new people and catch up with old friends Step 5. Oh no, the conference is over Step 6. Lie down Step 7. Try not to cry Step 8. Cry a lot @ecscienceassoc.bsky.social
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Alex Alekseev @aalexee.bsky.social · 08/09/2025
Big thanks to @fialalenka.bsky.social and @i4replication.bsky.social for the replication games in Brno. It was fun. We loved the songs! 🤘
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Alex Alekseev @aalexee.bsky.social · 06/09/2025
👏 Huge thanks to @milosfisar.bsky.social and the team at @econmuni.bsky.social for a fantastic @ecscienceassoc.bsky.social meeting in Brno #econsky
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Alex Alekseev @aalexee.bsky.social · 08/08/2025
iOS autocorrects “tex” as “Tex” It autocorrects “xetex” as “XeTeX” It does not autocorrect “latex” Can you guess what it autocorrects as “listed”? 🤔
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Alex Alekseev @aalexee.bsky.social · 30/07/2025
🎉 Excited to share that my paper "The (Statistical) Power of Incentives" has been accepted at the Journal of the Economic Science Association! @ecscienceassoc.bsky.social Thanks to everyone who helped me on this journey. ssrn.com/abstract=408... #EconSky
ssrn.com
The (Statistical) Power of Incentives
I study the optimal design of monetary incentives in experiments where incentives are a treatment variable. I propose a novel framework called the Budget Minimi
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Alex Alekseev @aalexee.bsky.social · 14/07/2025
Remember, your .tex file is just text. Use any editor you like. Dedicated LaTeX editors are great for typesetting, but you can use other editors. Share your LaTeX writing tips below! 👇
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Alex Alekseev @aalexee.bsky.social · 14/07/2025
Personalize. Choose a font you love (not just a default), and find a theme that feels right.
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Alex Alekseev @aalexee.bsky.social · 14/07/2025
Next, adjust your editor's line width. A narrower column (80 chars) is way easier to read than a full-screen line.
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Alex Alekseev @aalexee.bsky.social · 14/07/2025
First, ditch the split-screen. Close that PDF preview while you're writing. Focus on the words, not the layout.
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Alex Alekseev @aalexee.bsky.social · 14/07/2025
I have written up a few tips for making writing in TeX a bit more enjoyable. You can read the full post at medium.com/@alexander.g... The main points are below ✍️ #LaTeX #WritingTips
medium.com
Medium
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Alex Alekseev @aalexee.bsky.social · 24/06/2025
🔍 Our goal is to help researchers choose the most appropriate type of AI experiment for their question. Let us know what you think.
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Alex Alekseev @aalexee.bsky.social · 24/06/2025
4/ Natural AI experiments These take place in real-world settings, such as A/B tests run by organizations. AI is used as it would be outside the study. These experiments achieve maximum external validity.
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Alex Alekseev @aalexee.bsky.social · 24/06/2025
3/ Quasi-natural AI experiments These experiments use existing, real-world AI (like ChatGPT), but in a lab environment. This balances realism with control
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Alex Alekseev @aalexee.bsky.social · 24/06/2025
2/ Stylized AI experiments Here, AI is implemented specifically for a study. These setups allow researchers to explore complex and dynamic human-AI interaction with a lot of control.
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Alex Alekseev @aalexee.bsky.social · 24/06/2025
1/ Conceptual AI experiments These experiments use AI as a label or framing device, no AI is actually implemented. Common in vignette or survey-based studies. They are easy to run but have low external validity
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Alex Alekseev @aalexee.bsky.social · 24/06/2025
🚨 New WP! 📄 “A Taxonomy of AI Experiments” — Aleksandr Alekseev & Christina Strobel (2025) ssrn.com/abstract=529... We introduce a taxonomy to help researchers make sense of existing AI experiments and better design their own. 🧵 Here's a brief overview of our approach:
A decision tree diagram showing how to classify AI experiments into four types based on how the AI is used. The first decision asks: “Is AI a label or is it implemented?” If the answer is “Label,” the experiment is classified as a Conceptual AI experiment. If “Implemented,” the next question is: “Is AI implemented specifically for a study?” If yes, the experiment is a Stylized AI experiment. If no, the next question is: “Is AI used in a controlled or natural environment?” If “Controlled,” the experiment is a Quasi-natural AI experiment. If “Natural,” it is a Natural AI experiment.
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Alex Alekseev @aalexee.bsky.social · 16/02/2024
I wonder if anyone at JPE cares about its readers' eyesight. The text in some graphs is virtually unreadable. It's like 2pt. And yet the font size for panels is always HUGE.
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Alex Alekseev @aalexee.bsky.social · 12/02/2024
My new favorite quote: "The 95% confidence intervals of the means are omitted owing to their insignificant width, given the sample size (n = 35.2 million)" doi.org/10.1038/s415... #Econsky
doi.org
The Moral Machine experiment - Nature
Responses from more than two million people to an internet-based survey of attitudes towards moral dilemmas that might be faced by autonomous vehicles shed light on similarities and variations in ethi...
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Alex Alekseev @aalexee.bsky.social · 12/02/2024
I think it is appropriate to decline. The editors who invite you should can see your refereeing status (the last date you agreed, reviews in progress), so it's on them to make sure that you are not overloaded with requests.
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Alex Alekseev @aalexee.bsky.social · 07/02/2024
It's pretty rare to see a paper on the history of econ thought in Top-5, but Magness, P. W., & Makovi, M. (2023) made it. A fascinating read. doi.org/10.1086/722933
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Alex Alekseev @aalexee.bsky.social · 03/02/2024
Garcı́a, J. L., Heckman, J. J., & Ronda, V. (2023) use a pretty neat way to visualize ATEs: using stacked bar graphs with the differences between the treatment and control on the top. Seems to be a good solution when you have a bunch of effects to show. doi.org/10.1086/722936
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Alex Alekseev @aalexee.bsky.social · 01/02/2024
POV: You don't really know a person until you ask them to review a paper
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Reposted by Alex Alekseev
Vincent Arel-Bundock @vincentab.bsky.social · 13/01/2024
I'm excited to release the 𝚝𝚒𝚗𝚢𝚝𝚊𝚋𝚕𝚎 for #RStats ! Convert R dataframes to beautiful tables in HTML, LaTeX, PDF, Quarto, Markdown, etc. Easy to learn; minimalist interface; concise syntax; ultra-customizable tables; and zero dependency. vincentarelbundock.github.io/tinytable/
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Reposted by Alex Alekseev
Grant McDermott @gmcd.bsky.social · 26/01/2024
Stoked to announce a new release of `plot2`, the powerful and lightweight (0-dep) extension for #rstats base plotting! github.com/grantmcdermo... What's new? A bunch of things, including area plots and facets. Draw plots like the below with simple function calls.
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Alex Alekseev @aalexee.bsky.social · 26/01/2024
No worries, your question made me look up where it is from, so I learned something new
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Alex Alekseev @aalexee.bsky.social · 26/01/2024
It's from "The Kingdom of God Is Within You" en.wikipedia.org/wiki/The_Kin...
en.wikipedia.org
The Kingdom of God Is Within You - Wikipedia
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Alex Alekseev @aalexee.bsky.social · 26/01/2024
Started reading "The Big Short" by Michael Lewis and it opens with a really cool quote from Tolstoy that I, to my shame, did not know
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