The United Nations Development Coordination Office (DCO) serves as the secretariat for the UN Sustainable Development Group (UNSDG)–34 agencies, funds and programmes working on development–at the regional and global levels.

At the global level the UN SDG is chaired by the Deputy Secretary-General. The Vice-Chair is the UN Development Programme (UNDP) Administrator.
The Resident Coordinator system: coordinated and managed by the Development Coordination Office, a UN Secretariat entity as of 1 January 2019.
DCO provides substantive guidance and support to resident coordinators and United Nations country teams, in addition to daily backstopping to resident coordinator offices on the ground.
DCO also provides troubleshooting, quality assurance and dispute resolution services in close cooperation with the relevant regional teams of the UN Sustainable Development Group.
DCO and the UNSDG - DCO provides managerial and oversight functions for resident coordinators. Its activities are advanced through collective ownership by the UNSDG. The Office acts as a key conduit for supporting the UN’s activities for sustainable development, which inform policy, programme and operations on the ground.

 

The CCA is the UN’s independent analysis of the development trajectory of a country. It requires significant quantitative and qualitative research, and draws from thousands of pages of reports to summarize and analyse them. This happens at the country-level. We would like to lighten the load and come up with an automated solution of some kind to decrease the time and human input, and improve the quality of CCAs at the same time. We have led an initiative over the past two years using the DEEP platform for this purpose. We are happy to share the report and outputs of this initiative. The challenge at hand is, it is still very human-intensive. We would love to find a better solution to this, particularly through using NLP if possible.

UNDCO: Building a Classifier for Secondary Data Review of Common Country Analysis – Spring 2023 Discovery Project
Term
Spring 2023
Topic
Platforms/Infrastructure
Social Sciences
Technical Area(s)
Machine Learning (ML)
Natural language processing (NLP)