2 citations · 6 across the 12 of their papers we have counts for
5 papers · 1 filter
Dynamic Attention (DynAttn): Interpretable High-Dimensional Spatio-Temporal Forecasting (with Application to Conflict Fatalities)
Stefano M. Iacus, Haodong Qi, Marcello Carammia +1
Forecasting conflict-related fatalities remains a central challenge in political science and policy analysis due to the sparse, bursty, and highly non-stationary nature of violence…
Job Satisfaction Through the Lens of Social Media: Rural--Urban Patterns in the U.S
Stefano M Iacus, Giuseppe Porro
We analyze a novel large-scale social-media-based measure of U.S. job satisfaction, constructed by applying a fine-tuned large language model to 2.6 billion georeferenced tweets, a…
The Human Flourishing Geographic Index: A County-Level Dataset for the United States, 2013--2023
Stefano M. Iacus, Devika Jain, Andrea Nasuto +3
Quantifying human flourishing, a multidimensional construct including happiness, health, purpose, virtue, relationships, and financial stability, is critical for understanding soci…
Learning the Topic, Not the Language: How LLMs Classify Online Immigration Discourse Across Languages
Andrea Nasuto, Stefano Maria Iacus, Francisco Rowe +1
Large language models (LLMs) offer new opportunities for scalable analysis of online discourse. Yet their use in multilingual social science research remains constrained by model s…
Deep literature reviews: an application of fine-tuned language models to migration research
Stefano M. Iacus, Haodong Qi, Jiyoung Han
This paper presents a hybrid framework for literature reviews that augments traditional bibliometric methods with large language models (LLMs). By fine-tuning open-source LLMs, our…