Mission and objectivesThe United Nations Development Programme, Bureau for Policy and Programme Support (BPPS) has the responsibility for developing all relevant policy and guidance to support the results of UNDPโs Strategic Plan. BPPSโs staff provides technical advice to Country Offices; advocates for UNDP corporate messages, represents UNDP at multi-stakeholder fora including public-private dialogues, government and civil society dialogues, South-South and Triangular cooperation initiatives, and engages in UN inter-agency coordination in specific thematic areas. BPPS works closely with UNDPโs Crisis Response Unit (CRU) to support emergency and crisis response. BPPS ensures that issues of risk are fully integrated into UNDPโs development programmes. BPPS assists UNDP and partners to achieve higher quality development results through an integrated approach that links results based management and performance monitoring with more effective and new ways of working. BPPS supports UNDP and partners to be more innovative, knowledge and data driven including in its programme support efforts.
ContextThe SDG Integration Team located with UNDPโs Global Policy Network (GPN) offers a menu of services emphasizing direct short- to medium-term engagements to respond rapidly to requests from country offices for support on national implementation and monitoring of integrated policy solutions, qualitative and evidence-driven analysis for accelerated progress, and knowledge sharing and upscaling of innovative approaches to sustainable development. The teamโs work emphasizes the application of evidence-driven data and analytics for SDG implementation and reporting. In this regard, advances in digital technology are creating data at unprecedented levels of detail and speed, turning the stories of peopleโs lives into numbers every minute of every day, across the globe. An important focus of the integration work is to complement traditional data (e.g., national statistics,) with new and alternative sources including digital โbreadcrumbs,โ satellite data, social media to identify emerging trends and gain new perspectives on issues in development.
Task DescriptionThe data team at the BPPS is looking for a skilled and enthusiastic Online Volunteer with documented experience in machine learning (ML) to contribute to our ongoing research in intelligent document processing (IDP). The selected Volunteer will work under the guidance of the Data Science Specialist to: โ Conduct a desk review of literature, frameworks, and advancements in the field of IDP. โ Prototype machine learning (ML) models for semantic document layout analysis using provided datasets. โ Write up the research and results of experimental work into a short research paper. Note that this is a highly selective opportunity. Your application must include a short motivation statement that clearly describes how your education and experience align with the task. Please include links to your GitHub, publications or online portfolio, if applicable.
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