General
Description of assignment title: Support the labelling of texts by Targets of SDG 5 (Gender equality)
Assignment country: United States of America
Expected start date: Invalid Date
Sustainable Development Goal: 5. Gender equality
For how many hours per week will the volunteer be required?
6 – 10
Host entity: UNDP Bureau for Policy and Programme Support
Type: Online
Duration: 4 weeks
Number of assignments: 10
Details
Mission and objectives
The 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 UNDP’s Strategic Plan. BPPS’s 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 UNDP’s Crisis Response Unit (CRU) to support emergency and crisis response. BPPS ensures that issues of risk are fully integrated into UNDP’s 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.
Context
An SDG Integration Team located with UNDP’s 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 team’s 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 people’s 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 ‘breadcrumbs,’ satellite data, social media to identify emerging trends and gain new perspectives on issues in development.
Task description
The team is looking for motivated volunteers to support the labelling of texts by 9 targets of Goal 5 (achieve gender equality and empower all women and girls). The purpose of this assignment is to collect high-quality human-labelled dataset to support the development of multi-purpose Artificial Intelligence (AI) applications at UNDP. All candidates will complete a short online quiz to assert the required level of knowledge about Agenda 2030 in general and Goal 5 in particular. Selected volunteers will be provided with access to a web-based annotation tool together with detailed instructions on how to use the tool and a selection of texts to label. Each volunteer is expected to contribute a number of labels during the course of the assignment to successfully complete it.
Requirements
Required experience
– At least a bachelor’s degree in social sciences, humanities or STEM. – Proficiency in English is a prerequisite. – Proven knowledge of Goal 5 (Gender equality) and its targets is required.
Languages
English, Level: Fluent, Required
Other information
Inclusivity statement
United Nations Volunteers is an equal opportunity programme that welcomes applications from qualified professionals. We are committed to achieving diversity in terms of gender, care protected characteristics. As part of their adherence to the values of UNV, all UN Volunteers commit themselves to combat any form of discrimination, and to promoting respect for human rights and individual dignity, without distinction of a person’s race, sex, gender identity, religion, nationality, ethnic origin, sexual orientation, disability, pregnancy, age, language, social origin or other status.