2023 UN Datathon Registration
The 2023 UN Datathon is a global data science competition organized by the United Nations Committee of Experts on Big Data and DataScience for Official Statistics (UNCEBD), Major Group for Children and Youth (MGCY), Global Partnership for Sustainable development Data (GPSDD), NationalInstitute of Statistics of Uruguay (INE), and other organizations in conjunction with the Festival de Datos happening November 7-9, 2023 in Punta del Este, Uruguay. The UN Datathon will take place from November 3rd to November 6th, 2023 in different forms: on-site at the main venue in Uruguay, in satellite locations such as Dubai, UAE, Brazil, and China, but mostly virtually across the world.
The winning teams will be invited to present their work at the UN World Data Forum in Medellín, Colombia 2024, the next International Conference on Big Data and Data Science for Official Statistics, or a similar event. All participating teams will receive certificates of participation and special awards in different categories.
In order to participate in the Datathon, your team needs to fill out the survey below. It serves as a registration to the Datathon where we will ask you to provide information about your team as well as answer motivational questions. If your team is selected, you will then be invited to register on the UN GlobalPlatform to participate in the Datathon.
Please choose a team lead that will fill out this survey ONCE for the whole team before September 30,2023.
Participation in the UN Datathon should be done as a team of 3 to 5 people. Individual applications will not be accepted
Please note:
- You can find all the information and future steps about the UN Datathon on the hackathon’s website: https://unstats.un.org/bigdata/events/2023/un-datathon/
- You can join the webinars and receive all updates regarding the UN Datathon by registering to the mailing list: https://input.un.org/EFM/se/3995D1A4426836B2
For any questions or concerns, please reach out to us at:
un-datathon@unmgcy.org
UN Datathon Organization Team
Team Basic Information