My single-authored paper "Algorithmic and Human Collusion" has been accepted for publication at the Economic Journal.
More than happy about this outcome and the process of getting there.
I won't summarize the paper yet again on here, but a small anecdote about the paper🧵
@alexolegimas I am wondering how this will change as humans may adopt more and more of the language patterns used by LLMs, as shown in this paper: https://t.co/rwYZxdKyN5
Wrapped up a great week of regulatory outreach! Presented to the @CMAgovUK and @NZComCom on how human-machine market interactions can dampen competition.
Thanks to Rajssa Mechelli & David Shaharudin Shahar-Yu for hosting!
Don’t miss this exciting opportunity: join the C‑BEAR Interdisciplinary #SummerSchool2026 at the @unisouthampton for a practical introduction to social‑science experimentation-no prior experience needed.#ExperimentalEconomics
📅 29 June–3 July
🔗 https://t.co/EXrBZ4xzHb
Super thankful for all the feedback I got during the time from my supervisors and colleagues.
Also such a pleasant editorial process at the @EJ_RES with @steffenhuck and the three referees. Thanks to them too.
I would have probably come across those papers one way or another, but still, the nudge in the class of a senior professor telling me "might be worthwhile to look at" was super powerful for me.
So if you happen to read this: Thank you for this motivation @frankverboven.
Many of the papers I started during my PhD are in a similar area, so it was very influential indeed.
Also, this paper served me as my job market paper 2 1/2 times and I have to say: Despite what some people say about their JMP, I don't hate it yet but actually love it still.
...how humans play against RL algos.
Right after the class, I started reading Calvano et al. and the related paper by Timo Klein and started taking online classes on reinforcement learning.
My single-authored paper "Algorithmic and Human Collusion" has been accepted for publication at the Economic Journal.
More than happy about this outcome and the process of getting there.
I won't summarize the paper yet again on here, but a small anecdote about the paper🧵
I immediately thought of the question: "But what about the counterfactual of human collusion?"
Later, when learning about the ongoing work from my soon-to-be PhD supervisor @hans_normann and Martin Sternberg on human-algorithm interaction, the second research question was added.
And that's right, but in the last ~15 minutes, he presented some slides on the paper by @EmilioC_ and co-authors which was later published in the AER on RL-algorithms in pricing environments.
I actually started working on this paper in the first week of my PhD. It was a short lecture series at @DICEHHU by @frankverboven on estimation of market power and conduct.
Not strongly related to what I do in my paper, you might think.
🚨 New paper alert!
"Recognising, Anticipating & Mitigating LLM Pollution of Online Behavioural Research."
Online experiments are being polluted by LLMs. We mapped the threat and fixes. 🧵
w/ Raluca Rilla, @hiromu1996 , @iyadrahwan & @amnussberger
https://t.co/XnlWUYIcsm
LLMs and agents are reshaping the landscape of social science research.
Our preprint on "LLM Pollution" is featured in @ScienceMagazine's new piece on how AI is upending online studies.
https://t.co/oDtKDskkgA
I found out that something doesn't work very well. In the interest of not burying it so that someone else goes down this rabbit hole again, maybe I will try to write a paper.