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Related papers: Dynamic Estimates of Displacement in Disaster Regi…

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Nearly 110 million people are forcibly displaced people worldwide. However, estimating the scale and patterns of internally displaced persons in real time, and developing appropriate policy responses, remain hindered by traditional data…

Physics and Society · Physics 2025-04-02 Rodgers Iradukunda , Francisco Rowe , Elisabetta Pietrostefani

Timely population displacement estimates are critical for humanitarian response during disasters, but traditional surveys and field assessments are slow. Mobile phone data enables near real-time tracking, yet existing approaches apply…

Computers and Society · Computer Science 2026-04-24 Rajius Idzalika , Muhammad Rheza Muztahid , Radityo Eko Prasojo

By the outset of this review, 168 million people needed humanitarian aid, and the number grew to 235 million by the end of the completion of this review. There is no time to lose, definitely no data to lose. Humanitarian relief is crucial…

Computers and Society · Computer Science 2021-09-03 Abhilash Kondraganti

Natural disasters affect hundreds of millions of people worldwide every year. Early warning, humanitarian response and recovery mechanisms can be improved by using big data sources. Measuring the different dimensions of the impact of…

Computers and Society · Computer Science 2020-06-25 David Pastor-Escuredo , Yolanda Torres , Maria Martinez , Pedro J. Zufiria

Monitoring migration flows is crucial to respond to humanitarian crisis and to design efficient policies. This information usually comes from surveys and border controls, but timely accessibility and methodological concerns reduce its…

We use mobile phone call detail records to estimate the resettlement times of a subset of individuals that have been previously identified to be internally displaced persons (IDPs) following a sudden-onset disaster. Four different mobility…

Physics and Society · Physics 2019-08-08 Tracey Li , Jesper Dejby , Maximilian Albert , Linus Bengtsson , Veronique Lefebvre

With the consolidation of the culture of evidence-based policymaking, the availability of data has become central to policymakers. Nowadays, innovative data sources offer an opportunity to describe demographic, mobility, and migratory…

Computers and Society · Computer Science 2022-09-13 Claudio Bosco , Sara Grubanov-Boskovic , Stefano Iacus , Umberto Minora , Francesco Sermi , Spyridon Spyratos

Monitoring tools for anticipatory action are increasingly gaining traction to improve the efficiency and timeliness of humanitarian responses. Whilst predictive models can now forecast conflicts with high accuracy, translating these…

Applications · Statistics 2025-05-13 Geraldine Henningsen

Humanitarian challenges, including natural disasters, food insecurity, climate change, racial and gender violence, environmental crises, the COVID-19 coronavirus pandemic, human rights violations, and forced displacements,…

Computers and Society · Computer Science 2021-09-08 Snehalkumar , S. Gaikwad , Shankar Iyer , Dalton Lunga , Yu-Ru Lin

The description of complex human mobility patterns is at the core of many important applications ranging from urbanism and transportation to epidemics containment. Data about collective human movements, once scarce, has become widely…

Physics and Society · Physics 2022-11-21 Riccardo Gallotti , Davide Maniscalco , Marc Barthelemy , Manlio De Domenico

Humanitarian challenges, including natural disasters, food insecurity, climate change, racial and gender violence, environmental crises, the COVID-19 coronavirus pandemic, human rights violations, and forced displacements,…

Computers and Society · Computer Science 2021-09-08 Snehalkumar , S. Gaikwad , Shankar Iyer , Dalton Lunga , Elizabeth Bondi

Existing estimates of human migration are limited in their scope, reliability, and timeliness, prompting the United Nations and the Global Compact on Migration to call for improved data collection. Using privacy protected records from three…

Computers and Society · Computer Science 2025-04-17 Guanghua Chi , Guy J. Abel , Drew Johnston , Eugenia Giraudy , Mike Bailey

Predicting forced displacement is an important undertaking of many humanitarian aid agencies, which must anticipate flows in advance in order to provide vulnerable refugees and Internally Displaced Persons (IDPs) with shelter, food, and…

Computers and Society · Computer Science 2022-01-21 Katherine Hoffmann Pham , Miguel Luengo-Oroz

Armed conflict has led to an unprecedented number of internally displaced persons (IDPs) - individuals who are forced out of their homes but remain within their country. IDPs often urgently require shelter, food, and healthcare, yet…

Applications · Statistics 2023-07-27 Benjamin Q. Huynh , Sanjay Basu

The conflict in Ukraine is causing large-scale displacement in Europe and in the World. Based on the United Nations High Commissioner for Refugees (UNHCR) estimates, more than 7 million people fled the country as of 5 September 2022. In…

The mission of resilience of Ukrainian cities calls for international collaboration with the scientific community to increase the quality of information by identifying and integrating information from various news and social media sources.…

Computers and Society · Computer Science 2025-01-28 Manar Attar , Shuai Wang , Ronald Siebes , Eirik Kultorp , Zhisheng Huang , Tianyang Lu

Extreme weather events are projected to intensify global migration, increase resource competition, and amplify socio-spatial phenomena, including intergroup conflicts, socioeconomic inequalities, and unplanned displacements, among others.…

Understanding temporary migration is crucial for addressing various socio-economic and environmental challenges in developing countries. However, traditional surveys often fail to capture such movements effectively, leading to a scarcity of…

Computers and Society · Computer Science 2024-06-24 Paul Blanchard , Stefania Rubrichi

Every year millions of men, women and children are forced to leave their homes and seek refuge from wars, human rights violations, persecution, and natural disasters. The number of forcibly displaced people came at a record rate of 44,400…

Computer Vision and Pattern Recognition · Computer Science 2019-05-07 Grigorios Kalliatakis , Shoaib Ehsan , Maria Fasli , Klaus McDonald-Maier

The Digital Twin (DT) offers a novel approach to the management of critical infrastructures, including energy, water, traffic, public health, and communication systems, which are indispensable for the functioning of modern societies. The…

Computers and Society · Computer Science 2025-03-04 Eva Brucherseifer , Marco Marquard , Martin Hellmann , Andrea Tundis
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