activity
20202026
most citedIndia nudges to contain COVID-19 pandemic: a reactive public policy analysis using machine-learning based topic modelling

110 citations · 118 across the 7 of their papers we have counts for

collaborators

8 papers

cs.HC2026

Separating Memory and Workflow Effects in Predicting Individual Answers

Tianzhu Qin, Leo Yang Yang, Lee Wei Jun +3

Language agents choose what to remember about a person and how to use that memory. We separate these choices when predicting a person's unseen answer to an interview question. On 1…

physics.soc-ph2026

Hyperlocal monitoring of urban activity reveals responses to heat exposure

Dominique Geissler, Felix Creutzig, Ramit Debnath +1

Rising temperatures create new challenges for local heat adaptation. Yet, it remains unclear how urban activity changes during hot periods and which urban environments people conce…

cs.AI2025

The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs

Pengrui Han, Rafal Kocielnik, Peiyang Song +4

Personality traits have long been studied as predictors of human behavior. Recent advances in Large Language Models (LLMs) suggest similar patterns may emerge in artificial systems…

cs.LG2025

Heatwave increases nighttime light intensity in hyperdense cities of the Global South: A double machine learning study

Ramit Debnath, Taran Chandel, Fengyuan Han +1

Heatwaves, intensified by climate change and rapid urbanisation, pose significant threats to urban systems, particularly in the Global South, where adaptive capacity is constrained…

physics.geo-ph2024★ 8 cited

Energy Mapping of Existing Building Stock in Cambridge using Energy Performance Certificates and Thermal Infrared Imagery

Yinglong He, Jiayu Pan, Ramit Debnath +6

Energy performance certificate (EPC) and thermal infrared (TIR) images both play a key role in the energy performance mapping of the urban building stock. In this paper, we develop…

cs.CY2024

Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysis

Ramit Debnath, Pengyu Zhang, Tianzhu Qin +2

As the conversation around using geoengineering to combat climate change intensifies, it is imperative to engage the public and deeply understand their perspectives on geoengineeri…

cs.CY2024

Physics-based deep learning reveals rising heating demand heightens air pollution in Norwegian cities

Cong Cao, Ramit Debnath, R. Michael Alvarez

Policymakers frequently analyze air quality and climate change in isolation, disregarding their interactions. This study explores the influence of specific climate factors on air q…

cs.CY2020★ 110 cited

India nudges to contain COVID-19 pandemic: a reactive public policy analysis using machine-learning based topic modelling

Ramit Debnath, Ronita Bardhan

India locked down 1.3 billion people on March 25, 2020 in the wake of COVID-19 pandemic. The economic cost of it was estimated at USD 98 billion, while the social costs are still u…