3 papers
cs.CY2026
Statistical realism is not evidence that LLMs can estimate treatment effects in social science experiments
Zonghan Li, Feng Ji
Large language models (LLMs) are increasingly used to simulate human responses and estimate treatment effect of interventions when real-world experiments are costly or infeasible.…
cs.CY2026
LLM-generated personalized nudges for improving pro-environmental behavior: Field evidence from resource conservation
Zonghan Li, Yi Liu, Chunyan Wang +3
Encouraging pro-environmental behavior remains a major challenge for sustainable cities. Conventional feedback nudges can show individuals how their current behavior compares with…
cs.CY2025
Potential of large language model-powered nudges for promoting daily water and energy conservation
Zonghan Li, Song Tong, Yi Liu +2
The increasing amount of pressure related to water and energy shortages has increased the urgency of cultivating individual conservation behaviors. While the concept of nudging, i.…