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11#
發(fā)表于 2025-3-23 10:19:52 | 只看該作者
12#
發(fā)表于 2025-3-23 15:33:56 | 只看該作者
13#
發(fā)表于 2025-3-23 20:45:18 | 只看該作者
Siddhartha Bhattacharyya,Ujjwal Mauliknsure privacy and the right outcomes of the project. When no refugee labeled data is available, a framework to identify displaced population is necessary. We present a methodology to analyze mobility that minimizes privacy risks by subtracting mobility patterns of the population until finding those patterns indicative of the displaced population.
14#
發(fā)表于 2025-3-24 01:39:51 | 只看該作者
Call Detail Records to Obtain Estimates of Forcibly Displaced Populationsnsure privacy and the right outcomes of the project. When no refugee labeled data is available, a framework to identify displaced population is necessary. We present a methodology to analyze mobility that minimizes privacy risks by subtracting mobility patterns of the population until finding those patterns indicative of the displaced population.
15#
發(fā)表于 2025-3-24 03:32:55 | 只看該作者
Introducing the Lisbon Strategy and the OMC,output. We combine the data from the D4R Challenge with data from the GDELT Project and with data on transactions on the housing market in Turkey. We also describe research directions to be undertaken in the future using the D4R data.
16#
發(fā)表于 2025-3-24 08:47:39 | 只看該作者
Integration of Syrian Refugees: Insights from D4R, Media Events and Housing Market Dataoutput. We combine the data from the D4R Challenge with data from the GDELT Project and with data on transactions on the housing market in Turkey. We also describe research directions to be undertaken in the future using the D4R data.
17#
發(fā)表于 2025-3-24 12:46:41 | 只看該作者
18#
發(fā)表于 2025-3-24 18:54:30 | 只看該作者
Siddhartha Bhattacharyya,Ujjwal Maulikelopment Challenge leveraged mobile phone data for Development in Senegal. We further explored methodologies and protocols to use this data to support humanitarian action for refugees. Obtaining estimates of forcibly displaced population requires not only data analysis but also a solid protocol to e
19#
發(fā)表于 2025-3-24 22:55:34 | 只看該作者
Gisele L. Pappa,Alex A. Freitasgh. Mobile phones generate rich data on billions of people across different societal contexts and have in the last decade helped redefine how we do research and build tools to understand society. As such, mobile phone data have the potential to revolutionize how we tackle humanitarian problems, such
20#
發(fā)表于 2025-3-25 00:22:19 | 只看該作者
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