collaborators

9 papers

econ.GN2026

Continental-scale assessment of spatial food market accessibility in Africa using open geospatial data

Robert Benassai-Dalmau, Vasiliki Voukelatou, Rossano Schifanella +3

Food market accessibility is a critical yet underexplored dimension of food systems, particularly in low- and middle-income countries. In this paper, we present a continent-wide as…

cs.CY2026

Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys

Federica Sibilla, Vasiliki Voukelatou, Duccio Piovani +4

Data scarcity limits inference in many scientific and policy domains. Survey data are essential for decision-making, but sparse samples often fail to capture fine spatial granulari…

cs.CL2025

A Large-Language-Model Framework for Automated Humanitarian Situation Reporting

Ivan Decostanzi, Yelena Mejova, Kyriaki Kalimeri

Timely and accurate situational reports are essential for humanitarian decision-making, yet current workflows remain largely manual, resource intensive, and inconsistent. We presen…

cs.SI2025

Language-Agnostic Modeling of Source Reliability on Wikipedia

Jacopo D'Ignazi, Andreas Kaltenbrunner, Yelena Mejova +4

Over the last few years, verifying the credibility of information sources has become a fundamental need to combat disinformation. Here, we present a language-agnostic model designe…

cs.CY2025

Non-traditional data in pandemic preparedness and response: identifying and addressing first and last-mile challenges

Mattia Mazzoli, Irma Varela-Lasheras, Sonia Namorado +10

The pandemic served as an important test case of complementing traditional public health data with non-traditional data (NTD) such as mobility traces, social media activity, and we…

cs.CL2025

LML: A Novel Lexicon for the Moral Foundation of Liberty

Oscar Araque, Lorenzo Gatti, Sergio Consoli +1

The moral value of liberty is a central concept in our inference system when it comes to taking a stance towards controversial social issues such as vaccine hesitancy, climate chan…