84 citations
- Stanford UniversityUS2 papers
- University of PennsylvaniaUS2 papers
- Bank of ItalyIT1 paper
- Binghamton UniversityUS1 paper
- Colorado School of MinesUS1 paper
- Dartmouth CollegeUS1 paper
- Decision Sciences (United States)US1 paper
- Delaware Department of Natural Resources and Environmental ControlUS1 paper
- EURECAT Centre Tecnològic de CatalunyaES1 paper
- Hamad bin Khalifa UniversityQA1 paper
- Harvard UniversityUS1 paper
- Harvard University PressUS1 paper
12 papers
Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research
Nimisha Karnatak, Mohamad Chatila, Daniel Alejandro Pinzón Hernández +3
General-purpose LLMs pose misinformation risks for development and policy experts, lacking epistemic humility for verifiable outputs. We present AVA (AI + Verified Analysis), a Gen…
Large Language Model Chatbot Conversations vs Public Health Materials and Parental HPV Vaccination Intentions: A Randomized Clinical Trial
Neil K. R. Sehgal, Sunny Rai, Manuel Tonneau +6
Health care systems are increasingly considering large language model (LLM)-based chatbots for vaccine communication, but evidence that they improve durable, behaviorally relevant…
Planning for gold: Hypothesis screening with split samples for valid powerful testing in matched observational studies
William Bekerman, Abhinandan Dalal, Carlo del Ninno +1
Observational studies are valuable tools for inferring causal effects in the absence of controlled experiments. However, these studies may be biased due to the presence of some rel…
GeoFormer: Predicting Human Mobility using Generative Pre-trained Transformer (GPT)
Aivin V. Solatorio
Predicting human mobility holds significant practical value, with applications ranging from enhancing disaster risk planning to simulating epidemic spread. In this paper, we presen…
Non-equilibrium time-dependent solution to discrete choice with social interactions
James Holehouse, Hector Pollitt
We solve the binary decision model of Brock and Durlauf in time using a method reliant on the resolvent of the master operator of the stochastic process. Our solution is valid when…
Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data
Enrico Ubaldi, Takahiro Yabe, Nicholas K. W. Jones +4
Increasingly available high-frequency location datasets derived from smartphones provide unprecedented insight into trajectories of human mobility. These datasets can play a signif…