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Emissions generators, such as coal-fired power plants, are key contributors to air pollution and thus environmental policies to reduce their emissions have been proposed. Furthermore, marginalized groups are exposed to disproportionately…

Methodology · Statistics 2024-01-26 Kevin L. Chen , Falco J. Bargagli Stoffi , Raphael C. Kim , Rachel C. Nethery

Numerous studies have shown the harmful effects of airborne pollutants on human health. Vulnerable groups and communities often bear a disproportionately larger health burden due to exposure to airborne pollutants. Thus, there is a need to…

Methodology · Statistics 2026-01-05 Raphael C. Kim , Rachel C. Nethery , Kevin L. Chen , Falco J. Bargagli-Stoffi

Pollution from coal-fired power plants has been linked to substantial health and mortality burdens in the US. In recent decades, federal regulatory policies have spurred efforts to curb emissions through various actions, such as the…

Evaluating air quality interventions is confronted with the challenge of interference since interventions at a particular pollution source likely impact air quality and health at distant locations and air quality and health at any given…

Methodology · Statistics 2023-01-04 Corwin Zigler , Vera Liu , Fabrizia Mealli , Laura Forastiere

Causal inference with spatial environmental data is often challenging due to the presence of interference: outcomes for observational units depend on some combination of local and non-local treatment. This is especially relevant when…

Applications · Statistics 2024-05-15 Nathan B. Wikle , Corwin M. Zigler

Statistical methods to evaluate the effectiveness of interventions are increasingly challenged by the inherent interconnectedness of units. Specifically, a recent flurry of methods research has addressed the problem of interference between…

Methodology · Statistics 2018-07-24 Corwin M. Zigler , Georgia Papadogeorgou

Modified treatment policies are a widely applicable class of interventions useful for studying the causal effects of continuous exposures. Approaches to evaluating their causal effects assume no interference, meaning that such effects…

Methodology · Statistics 2025-12-12 Salvador V. Balkus , Scott W. Delaney , Nima S. Hejazi

The management of invasive mechanical ventilation, and the regulation of sedation and analgesia during ventilation, constitutes a major part of the care of patients admitted to intensive care units. Both prolonged dependence on mechanical…

Artificial Intelligence · Computer Science 2017-04-24 Niranjani Prasad , Li-Fang Cheng , Corey Chivers , Michael Draugelis , Barbara E Engelhardt

There is increasing focus on whether air pollution originating from different sources has different health implications. In particular, recent evidence suggests that fine particulate matter (PM2.5) with chemical tracers suggesting coal…

Acknowledging the effects of outdoor air pollution, the literature inadequately addresses indoor air pollution's impacts. Despite daily health risks, existing research primarily focused on monitoring, lacking accuracy in pinpointing indoor…

Machine Learning · Computer Science 2025-01-14 Pritisha Sarkar , Kushalava reddy Jala , Mousumi Saha

The electric power sector is one of the largest contributors to greenhouse gas emissions in the world. In recent years, there has been an unprecedented increase in electricity demand driven by the so-called Artificial Intelligence (AI)…

Signal Processing · Electrical Eng. & Systems 2024-10-14 Claudio Battiloro , Gianluca Guidi , Falco J. Bargagli-Stoffi , Francesca Dominici

We develop a causal inference approach to estimate the number of adverse health events prevented by large-scale air quality regulations via changes in exposure to multiple pollutants. This approach is motivated by regulations that impact…

Applications · Statistics 2019-09-23 Rachel C. Nethery , Fabrizia Mealli , Jason D. Sacks , Francesca Dominici

Air pollution is a significant health concern worldwide, contributing to various respiratory diseases. Advances in air quality mapping, driven by the emergence of smart cities and the proliferation of Internet-of-Things sensor devices, have…

Computer Vision and Pattern Recognition · Computer Science 2024-05-08 Anvita Mahajan , Sayali Mate , Chinmayee Kulkarni , Suraj Sawant

Industrial activities carried out in confined spaces are characterized by a very specific type of air pollution. The extended exposure to this kind of pollution is often highly harmful, resulting in dramatic effects both on health and…

Although there is now a large literature on policy evaluation and learning, much of the prior work assumes that the treatment assignment of one unit does not affect the outcome of another unit. Unfortunately, ignoring interference can lead…

Methodology · Statistics 2025-04-02 Yi Zhang , Kosuke Imai

In the context of the ongoing Covid-19 pandemic, several reports and studies have attempted to model and predict the spread of the disease. There is also intense debate about policies for limiting the damage, both to health and to the…

Physics and Society · Physics 2020-05-04 Harshad Khadilkar , Tanuja Ganu , Deva P Seetharam

Estimating health benefits of reducing fossil fuel use from improved air quality provides important rationales for carbon emissions abatement. Simulating pollution concentration is a crucial step of the estimation, but traditional…

General Economics · Economics 2021-06-01 Da Zhang , Qingyi Wang , Shaojie Song , Simiao Chen , Mingwei Li , Lu Shen , Siqi Zheng , Bofeng Cai , Shenhao Wang

Studies have shown that exposure to air pollution, even at low levels, significantly increases mortality. As regulatory actions are becoming prohibitively expensive, robust evidence to guide the development of targeted interventions to…

Applications · Statistics 2018-02-20 Kwonsang Lee , Dylan S. Small , Francesca Dominici

Air pollution is one of the most important causes of mortality in the world. Monitoring air pollution is useful to learn more about the link between health and pollutants, and to identify areas for intervention. Such monitoring is…

Machine Learning · Computer Science 2022-08-30 Sigrid Passano Hellan , Christopher G. Lucas , Nigel H. Goddard

In targeted poisoning attacks, an attacker manipulates an agent-environment interaction to force the agent into adopting a policy of interest, called target policy. Prior work has primarily focused on attacks that modify standard MDP…

Machine Learning · Computer Science 2023-02-28 Mohammad Mohammadi , Jonathan Nöther , Debmalya Mandal , Adish Singla , Goran Radanovic
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