Objectives To address the many barriers to rapid disaster research, presented by internal processes and external policies, the U.S. National Institutes of Health (NIH) has developed a new Disaster Research Response Program (DR2). The DR2 Program aims to develop a system of needed products, ...
The Disaster Response Program (DRP) at Esri exists to help users respond to and enhance their GIS operations when hurricanes, fires, earthquakes, oil spills, and other crises overwhelm their organizations and demand escalated action. Assistance from the DRP comes in many forms and ...
View agency and industry best practices using geospatial technology for humanitarian and public health response and recovery. NASA Products for the La Soufriere Eruption 2021 The NASA Disasters Program monitored the La Soufriere volcano on the island of St. Vincent for several months before it erupte...
Empowering and enabling local providers and first responders with digital technology and services in times of disaster. Our approach We work with humanitarian organizations, governments, and crisis-affected communities around the world. Since 2017, we have activated support for 75 responses in 56 co...
► We analyze the disaster response/recovery efforts following 2010 Haiti earthquake. ► This research is based on interviews with 18 different relief agencies. ► We study the cooperation, mutual understanding, and connectivity among agencies. ► We find prior-event partnerships or presence is...
Journal of Disaster Research ESCI EI JCR:Q4 发文量 1,889 被引量 7,135 影响因子(2023) 0.630主办单位: FUJI TECHNOLOGY PRESS LTD 出版地区: Japan 出版周期: 双月刊 国际标准连续出版物号: ISSN 1881-2473 创刊时间: 2011年 收录汇总 栏目浏览 期刊详情 收录汇总 出版文献 期刊详情 分析评价...
A number of research studies apply artificial intelligence (AI) techniques to process disaster-related data for supporting informed disaster management. This study provides an overview of current applications of AI in disaster management during its four phases: mitigation, preparedness, response, and ...
the Rogers Commission addressed a more fundamental problem. In NASA’s efforts to streamline shuttle operations in pursuit of its declared goal of flying 24 missions a year, the commission said, the agency had simply been pushing too hard. The shuttle program had neither the personnel nor the ...
Research on fairness in machine learning (ML) has been largely focusing on individual and group fairness. With the adoption of ML-based technologies as ass
Data Science Project for Udacity's Data Scientist Program. Here I created a webapp and ML/NLP pipeline that analyzes message data for disaster response and shows classification results. - Mr-Chang95/Disaster_Response_Pipeline