Thursday, June 4 / 14:00 - 15:30 Room A

Session 26
Flash Session Emerging Data Sources in Demography: Digital Traces, AI and Mobile Phone Data

Chair: Ridhi Kashyap, Oxford University

1. Age-Disaggregated Subnational Patterns of Internet and Mobile Phone AdoptionMichael Y.C. Chong , University of Oxford; Ridhi Kashyap, Oxford University.

2. Evaluating Online Recruitment in COVID-19 Prosocial Behavior Surveys: Comparison of Algorithmic Social Media Sampling with Classic Probability Samplingihsan kahveci ; Daniela Perrotta, Max Planck Institute for Demographic Research; James Holland, Stanford University; Zack Almquist, University of Washington.

3. Infertility in Italy: Calibrating Nonprobability Survey Data for Population-Level EstimatesMaria Francesca Morabito , University of Florence; Emilia Rocco, University of Florence; Valentina Tocchioni, University of Florence.

4. AI as Respondent: Extending Factorial Survey Methods with LLMsChen Peng , Bocconi University; Arnstein Aassve, Bocconi University; Nicolò Cavalli, Bocconi University.

5. Gendered Mobility Patterns in Île-de-France: Insights from High-Resolution GNSS TracesDaniela Perrotta , Max Planck Institute for Demographic Research; Egor Kotov, Max Planck Institute for Demographic Research; Tom Theile, Max Planck Institute for Demographic Research; Emilio Zagheni, Max Planck Institute for Demographic Research.

6. Bridging Data Gaps: Social Media and Traditional Sources in Assessing Migration in Latin American CountriesVictoria Prieto Rosas , Programa de Población, Universidad de la República; Camila Montiel, Centre d'Estudis Demogràfics; Martin Koolhaas, Programa de Población, Universidad de la República; Mariana Fernández-Soto, Programa de Población-Universidad de la República; Francis Silvera, Programa de Población, Universidad de la República; Julieta Bengochea, Programa de Población, Universidad de la República.

7. A Systematic Machine Learning Approach to Measure and Assess Biases in Mobile Phone Population DataFrancisco Rowe , University of Liverpool; Carmen Cabrera, University of Liverpool.

8. Language Models for Predicting Life OutcomesVarun Satish , Princeton University; Flavio Hafner, Erasmus; Sayash Kapoor, Princeton; Malte Lüken, Erasmus; Lydia Liu, Princeton; Tiffany Liu, Princeton; Juan Perdomo, NYU; Benedikt Stroebl, Princeton; Keyon Vafa, Harvard; Mark Verhagen, University of Oxford; Matthew Salganik, Princeton.

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