8 papers
Spatial Heterogeneity in Climate Risk and Human Flourishing: An Exploration with Generative AI
Stefano Maria Iacus, Haodong Qi, Devika Jain
Recent advances in Generative Artificial Intelligence (AI), particularly Large Language Models (LLMs), enable scalable extraction of spatial information from unstructured text and…
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…
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…
Two Americas of Well-Being: Divergent Rural-Urban Patterns of Life Satisfaction and Happiness from 2.6 B Social Media Posts
Stefano Maria Iacus, Giuseppe Porro
Using 2.6 billion geolocated social-media posts (2014-2022) and a fine-tuned generative language model, we construct county-level indicators of life satisfaction and happiness for…
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…