🚨 New Working Paper Update! 🚨
Delighted to share our updated version of "Causal Claims in Economics" (joint with @fetzert). We analyze 44k+ NBER & CEPR working papers (1980–2023) with AI to map causal relationships. We’ve added new results on narrative complexity, paper novelty, gaps in literature & more. Our approach uses a custom LLM to parse each paper’s and extract directed relationships between economic concepts. We flag which claims are supported by causal methods (DiD, IV, RDD, RCT, etc.) vs. non-causal correlations or theory. Here's a chart showing growth of such methods

Full details at: causal.claims

Public trust in science is more important than ever. But what happens when scientists openly share their political opinions on social media?

Our updated paper with @EleAla & Francesco Capozza shows how academics’ political expression affects their credibility. We analyzed the public Twitter/X accounts of 98,000 US-based university academics (2016–2022).

44% of these academics openly shared non-neutral views on at least one salient topic—far higher than the 7% of average Twitter users. Political engagement was consistent across disciplines.

🚨China's export bans on Gallium & Germanium 🚨
Why it matters: Gallium is central to countless downstream industries: semiconductors, aerospace, telecommunications, & more. This image shows how interconnected it is.
Public data, method & our paper in thread 🧵 Each node is a product. Size of node based on how "important" or "central" product is in international trade. Blue nodes are capital goods, silver are intermediates and green are final consumption good.

🚨Thrilled to share our new paper "Causal Claims in Economics"! 🚨
@fetzert and I analysed over 44,000 economics papers using AI to create a knowledge graph of economics and map out causal relationships.
Here's what we found 🧵👇 Our goal: Synthesize causal evidence from economics in graphical format.
We built the "Knowledge Graph of Economics" mapping how economic concepts are causally linked.
Check out examples graphs of Chetty et al. and Banerjee et al.

🚨 Exciting News! 🚨
Thrilled to announce our latest working paper with @fetzert:

Political Expression of Academics on Social Media

In this thread, we will highlight our key findings and contributions using a newly built dataset🧵👇 1/ Social media has revolutionized how academics disseminate knowledge. Yet, the subset of academics active on these platforms may shape public perceptions disproportionately. Our study explores these patterns using a dataset of 100,000+ scholars globally.