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The rich and dynamic information environment of social media provides researchers, policy makers, and entrepreneurs with opportunities to learn about social phenomena in a timely manner. However, using this data to understand social…

Social and Information Networks · Computer Science 2025-03-24 Siyi Guo , Zihao He , Ashwin Rao , Eugene Jang , Yuanfeixue Nan , Fred Morstatter , Jeffrey Brantingham , Kristina Lerman

Natural disasters, including earthquakes, wildfires and cyclones, bear a huge risk on human lives as well as infrastructure assets. An effective response to disaster depends on the ability to rapidly and efficiently assess the intensity of…

Computers and Society · Computer Science 2025-09-03 Aman Raj , Lakshit Arora , Sanjay Surendranath Girija , Shashank Kapoor , Dipen Pradhan , Ankit Shetgaonkar

Social media such as tweets are emerging as platforms contributing to situational awareness during disasters. Information shared on Twitter by both affected population (e.g., requesting assistance, warning) and those outside the impact zone…

Information Retrieval · Computer Science 2017-05-08 Hien To , Sumeet Agrawal , Seon Ho Kim , Cyrus Shahabi

After a disaster, teams of structural engineers collect vast amounts of images from damaged buildings to obtain lessons and gain knowledge from the event. Images of damaged buildings and components provide valuable evidence to understand…

Computer Vision and Pattern Recognition · Computer Science 2019-03-01 Chul Min Yeum , Ali Lenjani , Shirley J. Dyke , Ilias Bilionis

The frequency of disruptive and newly emerging threats (e.g. man-made attacks--cyber and physical attacks; extreme natural events--hurricanes, earthquakes, and floods) has escalated dramatically in the last decade. Impacts of these events…

Systems and Control · Electrical Eng. & Systems 2020-09-08 Narayan Bhusal , Mukesh Gautam , Michael Abdelmalak , Mohammed Benidris

Credibly assessing the resilience of energy infrastructure in the face of natural disasters is a salient concern facing researchers, government officials, and community members. Here, we explore the influence of the spatial distribution of…

Physics and Society · Physics 2019-02-11 Benjamin Rachunok , Roshanak Nateghi

Gaining timely and reliable situation awareness after hazard events such as a hurricane is crucial to emergency managers and first responders. One effective way to achieve that goal is through damage assessment. Recently, disaster…

Computer Vision and Pattern Recognition · Computer Science 2020-12-17 Quoc Dung Cao , Youngjun Choe

Along with climate change, more frequent extreme events, such as flooding and tropical cyclones, threaten the livelihoods and wellbeing of poor and vulnerable populations. One of the most immediate needs of people affected by a disaster is…

Machine Learning · Computer Science 2021-08-10 Karla Saldana Ochoa , Tina Comes

People increasingly use microblogging platforms such as Twitter during natural disasters and emergencies. Research studies have revealed the usefulness of the data available on Twitter for several disaster response tasks. However, making…

Social and Information Networks · Computer Science 2018-05-16 Firoj Alam , Ferda Ofli , Muhammad Imran , Michael Aupetit

Peatland fires and haze events are disasters with national, regional and international implications. The phenomena lead to direct damage to local assets, as well as broader economic and environmental losses. Satellite imagery is still the…

Social and Information Networks · Computer Science 2017-08-03 Mark Kibanov , Gerd Stumme , Imaduddin Amin , Jong Gun Lee

Storms and other severe weather events can result in fatalities, injuries, and property damage. Therefore, preventing such outcomes to the extent possible is a key concern, and the scientific community faces an increasing demand for…

Other Computer Science · Computer Science 2016-06-27 Renato P. dos Santos

It is common practice for data scientists to acquire and integrate disparate data sources to achieve higher quality results. But even with a perfectly cleaned and merged data set, two fundamental questions remain: (1) is the integrated data…

Databases · Computer Science 2015-12-29 Yeounoh Chung , Michael Lind Mortensen , Carsten Binnig , Tim Kraska

During a disaster event, images shared on social media helps crisis managers gain situational awareness and assess incurred damages, among other response tasks. Recent advances in computer vision and deep neural networks have enabled the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-19 Firoj Alam , Ferda Ofli , Muhammad Imran , Tanvirul Alam , Umair Qazi

New crisis response and management approaches that incorporate the latest information technologies are essential in all phases of emergency preparedness and response, including the planning, response, recovery, and assessment phases.…

Computers and Society · Computer Science 2020-06-01 Ben Ortiz , Laura Kahn , Marc Bosch , Philip Bogden , Viveca Pavon-Harr , Onur Savas , Ian McCulloh

Over the last decade, street-view type images have been used across disciplines to generate and understand various place-based metrics. However efforts to collect this data were often meant to support investigator-driven research without…

Human-Computer Interaction · Computer Science 2023-08-15 Nicole A. Errett , Joseph Wartman , Scott B. Miles , Ben Silver , Matthew Martell , Youngjun Choe

Extreme weather events driven by climate change, such as wildfires, floods, and heatwaves, prompt significant public reactions on social media platforms. Analyzing the sentiment expressed in these online discussions can offer valuable…

Social and Information Networks · Computer Science 2025-10-14 Pouya Shaeri , Yasaman Mohammadpour , Alimohammad Beigi , Ariane Middel

Flood is a natural phenomenon that causes severe environmental damage and destruction in smart cities. After a flood, topographic, geological, and living conditions change. As a result, the previous information regarding the environment is…

Computers and Society · Computer Science 2022-03-15 Sajedeh Abbasi , Hamed Vahdat-Nejad , Hamideh Hajiabadi

Natural disasters ravage the world's cities, valleys, and shores on a regular basis. Deploying precise and efficient computational mechanisms for assessing infrastructure damage is essential to channel resources and minimize the loss of…

Computer Vision and Pattern Recognition · Computer Science 2022-01-28 Thomas Y. Chen

In recent years, extreme shocks, such as natural disasters, are increasing in both frequency and intensity, causing significant economic loss to many cities around the world. Quantifying the economic cost of local businesses after extreme…

General Finance · Quantitative Finance 2020-04-24 Takahiro Yabe , Yunchang Zhang , Satish Ukkusuri

Drought has become a critical global threat with significant societal impact. Existing drought monitoring solutions primarily focus on assessing drought severity using quantitative measurements, overlooking the diverse societal impact of…

Social and Information Networks · Computer Science 2024-12-18 Lanyu Shang , Bozhang Chen , Shiwei Liu , Yang Zhang , Ruohan Zong , Anav Vora , Ximing Cai , Na Wei , Dong Wang
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