

The @PardeeCenterIFs Country and Organizational Leader Travel (COLT) dataset is freely available to use and a great resource for studying global patterns of diplomacy: korbel.du.edu/pardee/country…
Meray Maddah
1.9K posts

@MerayMaddah
Political Science PhD candidate @konstanz_pol_pa @UniKonstanz | own views and standard errors.


The @PardeeCenterIFs Country and Organizational Leader Travel (COLT) dataset is freely available to use and a great resource for studying global patterns of diplomacy: korbel.du.edu/pardee/country…



"As a child of economists, I knew that economics was one field I must avoid," - economics laureate Abhijit Banerjee. "My father was a famously charismatic teacher, who adored and was much adored by his many students. He would often talk about just how brilliant some of them were, and it was clear to me that I had nothing to gain and much to lose by inviting comparisons with them. In my deeply anti-intellectual high school, it was made very clear that we should all aspire to study engineering or medicine because they led to good jobs (the lure of jobs in finance came many years later). They made an occasional exception, in the case of an unusually brilliant student, for studying physics. I had no desire to be an engineer or a doctor and prepping for physics required consorting with our physics teacher, a man who seemed to take genuine pleasure in inflicting pain. What else could I do? I loved literature and history, philosophy and math; my parents were against the first three. Their stated grounds were that I could always go from math to those at a later stage but not the reverse, though my guess now is that they were not sure that I was good enough to make a living in the humanities, given the shape of the labour market. In any case, their argument for math appealed to my instinct for trying to postpone all hard choices. Math it was going to be." Read Abhijit Banerjee's surprising biography: bit.ly/3u9Nl3j





























Holy shit… this might be the most unreal academic-writing upgrade I’ve ever seen 🤯 A team from NUS just dropped PaperDebugger an in-editor, multi-agent system that lives inside Overleaf and rewrites your paper with you in real time. Not copy-paste. Not a sidebar chatbot. Actual agentic editing inside your LaTeX editor. Here’s why this is insane 👇 → You highlight a messy paragraph, and it launches a full critique + rewrite pipeline → Returns clean before–after diffs like Git, then patches your document instantly → Runs Reviewer, Enhancer, Scoring, and Researcher agents in parallel → Uses Kubernetes pods to scale multi-agent reasoning inside the editor → Taps an MCP toolchain for literature search, reference lookup, and section-level enhancement Deep research mode is even crazier: It pulls relevant arXiv papers, summarizes them, compares your method against them, and generates citation-ready tables… all inline while you're writing. It’s basically a mini committee of reviewers embedded in your document rewriting, critiquing, sourcing, and polishing without ever breaking flow. If this scales, Overleaf stops being an editor… and becomes a full AI-assisted research environment.



Excited to post the latest version of my JMP: The female labor supply constraints of spousal jealousy bit.ly/4nn9apn I use two field experiments to study the role of spousal jealousy in constraining married women’s employment. More below 👇


