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- Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with minimum time delay; Understandable in a way that allows researchers—including those outside the discipline of origin—to use them
- Climate-Induced Migration in Africa and Beyond: Big Data and Predictive . . .
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data This holistic approach will allow us to analyze migration process from a multi-stage perspective (e g from internal displacement to onward return migration), and gain more insights about the temporality of climate
- Mosquitoes populations modelling for early warning system and rapid . . .
This technology will include the use of mobile surveillance apps using gamification and citizen science technology co-developed with local stakeholders for reporting locations of water breeding points in Brazil We will develop a data-driven early warning system to predict changes in occurrence and abundance of mosquito breeding points
- Belmont Forum Data Management Plan Template Version 1. 0
Title: Belmont Forum Data Management Plan Template Version 1 0 Download: BelmontForumDMPTemplate1 0-2_0 pdf Description: File: BelmontForumDMPTemplate1 0-2 pdf This document is the first Data Management Plan template released by the e-I DM project Click here for the latest version and current requirements
- Resiliences to climate risks: lessons from arctic and pacific communities
The methodology is based on a mixed-methods approach: qualitative data froma collaborative approach aimed at identifying resilience factors in local narratives, traditions, experiences, sensitivities, knowledge, etc ,and quantitative data derived from open source data
- Data Accessibility Statement (DAS) - Belmont Forum
Download: Data_Accessibility_Statement pdf Description: The Data Accessibility Statement (DAS) links scientific publishing to the research data produced by the project The DAS is included as part of a journal article and articulates which data underlie a paper, where the data are available and under what conditions they can be accessed
- Biocultural adaptation of resource management traditions under the . . .
We will marry these socio-cultural data to ecological data on the changes in resource distributions anticipated due to climate change, and then feed back this information to study site stakeholders and partners so they can consider whether they need to alter their traditional levels of vertical versus horizontal transmission for cultural
- Data-driven Disaster Response Systems Dependent on Time of Day, Season . . .
This research comprises three key components: 1) data collection, analysis, and simulation of hazards and human responses, 2) design of information-sharing systems and emergency response, and 3) policy recommendations for urban risk governance towards resilience by developing a framework to collaborate with stakeholders and analyzing
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