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Support in applying GIS for the Sustainable Development Goals

UNDP Istanbul International Center for Private Sector in Development

15 Oct 2020 Apply now Share
15 Oct 2020 Apply now Share
Background and objectives
The Online Volunteer will participate in the projects applying GIS techniques in the context of Sustainable Development Goals under the UNDP priority areas such as ending poverty, democratic governance and peacebuilding, climate action and disaster preparedness, response, and recovery. The selected Online Volunteers are expected to conduct geospatial analysis, creating maps, infographics, and other cartographic products using software such as ArcGIS or QGIS. GIS use in development contexts will be examined and GIS integration into Emergency Management Process will be prioritized. SDG AI Lab will support the Online Volunteer as needed, at least with a weekly check-in via Skype and maintain connections through MS Teams and GitHub repository. The Online Volunteer will work under the coordination of the Technical Specialist of IICPSD.
Technology development
Information technology and telecommunications
IICPSD’s SDG AI Lab initiative requires assistance in enhancing and applying solutions to support the research and digital transformation in the development sector. The assignment involves an exploration of how to deploy GIS-based solutions on development issues; particularly analyzing and derive insights from geospatial data sources with also using advanced techniques such as machine learning and deep learning. The Lab provides in-house expertise, resources, and research support to various UNDP projects to mainstream digital transformation to development problems and to contribute to the achievement of the Sustainable Development Goals.
Volunteers: 10 needed
11-20 hours per week / 13 weeks
Bachelor’s degree in Geographic Information Systems, Geography, Data Management, Cartography, Computer Science, Engineering, or related field. Knowledge of the technical aspects of geographical data management and utilization. Familiarity with coordinating geometry, data conversion and validation, spatial analysis and visualization. Working knowledge of GIS software.

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