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Identifying regions that have high likelihood for wildfires is a key component of land and forestry management and disaster preparedness. We create a data set by aggregating nearly a decade of remote-sensing data and historical fire records…

Computer Vision and Pattern Recognition · Computer Science 2021-02-11 Fantine Huot , R. Lily Hu , Matthias Ihme , Qing Wang , John Burge , Tianjian Lu , Jason Hickey , Yi-Fan Chen , John Anderson

Despite the wide range of possible scenarios in the aftermath of a disruptive event, each community can make choices to improve its resilience, or its ability to bounce back. A resilient community is one that has prepared for, and can thus…

Social and Information Networks · Computer Science 2019-07-23 Ali Lenjani , Ilias Bilionis , Shirley Dyke , Chul Min Yeum , Ricardo Monteiro

Wildfires pose a significant natural disaster risk to populations and contribute to accelerated climate change. As wildfires are also affected by climate change, extreme wildfires are becoming increasingly frequent. Although they occur less…

Machine Learning · Computer Science 2024-09-17 Assaf Shmuel , Teddy Lazebnik , Oren Glickman , Eyal Heifetz , Colin Price

1.3 million household fires, 3,400 civilian deaths, and 23 billion dollars in damage, a fire department is called to respond every 24 seconds. Many firefighters are injured during search and rescue operations due to hidden dangers.…

Robotics · Computer Science 2021-04-05 Aryia Dattamajumdar

Due to recent climate changes, we have seen more frequent and severe wildfires in the United States. Predicting wildfires is critical for natural disaster prevention and mitigation. Advances in technologies in data processing and…

Machine Learning · Computer Science 2022-09-22 Hyung-Jin Yoon , Petros Voulgaris

Terrorism is a major problem worldwide, causing thousands of fatalities and billions of dollars in damage every year. Toward the end of better understanding and mitigating these attacks, we present a set of machine learning models that…

Machine Learning · Computer Science 2022-10-12 Steven J. Krieg , Christian W. Smith , Rusha Chatterjee , Nitesh V. Chawla

Due to climate change, the extreme wildfire has become one of the most dangerous natural hazards to human civilization. Even though, some wildfires may be initially caused by human activity, but the spread of wildfires is mainly determined…

Machine Learning · Computer Science 2025-03-13 Qijun Chen , Shaofan Li

Our decision-making processes are becoming more data driven, based on data from multiple sources, of different types, processed by a variety of technologies. As technology becomes more relevant for decision processes, the more likely they…

Computers and Society · Computer Science 2018-01-01 Tomasz Ostwald

Homeland security in the United States faces a daunting task due to the multiple threats and hazards that can occur. Natural disasters, human-caused incidents such as terrorist attacks, and technological failures can result in significant…

Computers and Society · Computer Science 2025-04-04 Parastoo Akbari , Cameron A. MacKenzie

Construction safety research is a critical field in civil engineering, aiming to mitigate risks and prevent injuries through the analysis of site conditions and human factors. However, the limited volume and lack of diversity in existing…

Machine Learning · Computer Science 2025-08-14 Zhenhui Ou , Dawei Li , Zhen Tan , Wenlin Li , Huan Liu , Siyuan Song

Due to the threat of changing climate and extreme weather events, the infrastructure of the United States Army installations is at risk. More than ever, climate resilience measures are needed to protect facility assets that support critical…

Machine Learning · Computer Science 2025-09-05 Haley Dozier , Althea Henslee

Social vulnerability is the susceptibility of a community to be adversely impacted by natural hazards and public health emergencies, such as drought, earthquakes, flooding, virus outbreaks, and the like. Climate change is at the root of…

Human-Computer Interaction · Computer Science 2023-01-10 Darius Coelho , Nikita Gupta , Eric Papenhausen , Klaus Mueller

Experiments remain the gold standard to establish an understanding of fire-related phenomena. A primary goal in designing tests is to uncover the data generating process (i.e., the how and why the observations we see come to be); or simply…

Machine Learning · Computer Science 2022-04-13 M. Z. Naser , Aybike Ozyuksel Ciftcioglu

We revisit the longstanding question of how physical structures in urban landscapes influence crime. Leveraging machine learning-based matching techniques to control for demographic composition, we estimate the effects of several types of…

Machine Learning · Computer Science 2025-09-23 Ziyao Cui , Erick Jiang , Nicholas Sortisio , Haiyan Wang , Eric Chen , Cynthia Rudin

We study the dynamic effects of fires on county labor markets in the US using a novel geophysical measure of fire exposure based on satellite imagery. We find increased fire exposure causes lower employment growth in the short and medium…

General Economics · Economics 2023-08-08 Raphaelle G. Coulombe , Akhil Rao

Emergency events in a city cause considerable economic loss to individuals, their families, and the community. Accurate and timely prediction of events can help the emergency fire and rescue services in preparing for and mitigating the…

Wildfires are increasingly impacting the environment, human health and safety. Among the top 20 California wildfires, those in 2020-2021 burned more acres than the last century combined. California's 2018 wildfire season caused damages of…

Machine Learning · Computer Science 2022-08-22 Rohan Tan Bhowmik

Due to various sources of uncertainty, emergent behavior, and ongoing changes, the reliability of many socio-technical systems depends on an iterative and collaborative process in which organizations (1) analyze and learn from system…

Software Engineering · Computer Science 2024-02-16 Jonathan Sillito , Matt Pope

Wildfires have significantly increased in the United States (U.S.), making certain areas harder to live in. This motivates us to jointly analyze active fires and population changes in the U.S. from July 2020 to June 2021. The available data…

Methodology · Statistics 2024-11-19 Shijie Zhou , Jonathan R. Bradley

Fires and burning are the chief causes of particulate matter (PM2.5), a key measurement of air quality in communities and cities worldwide. This work develops a live fire tracking platform to show active reported fires from over twenty…

Computers and Society · Computer Science 2023-05-31 Junfeng Jiao , Ryan Hardesty Lewis , Kijin Seong , Arya Farahi , Paul Navratil , Nate Casebeer , Dev Niyogi