Who can participate?

• This challenge is open to the general public. We welcome the participation of students, data scientists, data journalists, and graphic designers and all others interested.
• Teams can submit by acknowledging all contributors using the co-author field on the submissions form.
• Participants can submit as many solutions to this challenge as they would like.

Submission guidelines

This challenge is open to the general public. Public, private, and academic organizations are also invited to take part.

• Participants should submit the final challenge submissions (suggested: GitHub Pages or BitBucket Pages, or similar) through the Unite Ideas Website by the challenge deadline.
• Only original, open source work will be accepted. It is acceptable that your solution uses other existing open source libraries.
• Teams can submit by acknowledging all contributors under the “description” field on the submissions form.
• There are no limitations on the number of submissions per participant / participating team.
• The participants are required to agree to the terms and conditions.

Review criteria

Only original, open source work will be accepted (which can use or build upon existing open source tools). Both static and interactive visualizations may be submitted. Entries will be judged on a combination of the following criteria:

• Alignment with challenge objectives
• Sound data analysis and accuracy of results
• Originality
• Clarity of information
• Use friendliness

Judging Panel

All solutions will be reviewed by a committee composed of IT specialists and sustainable development experts.   

References and similar projects

• Modeled surfaces: http://spatialdata.dhsprogram.com
• API: http://api.dhsprogram.com
• Introductory video on working with DHS Spatial data and GIS resources: DHS Spatial data and GIS resources (Video)
• Sample apps that use the DHS API: http://api.dhsprogram.com/#/showcase.html
• Creating Spatial Interpolation Surfaces with DHS Data
• Open geospatial dta for energy access
• Combining satellite imagery and machine learning to predict poverty

Solution terms and conditions

When you submit a solution to this challenge you agree to license it as follows:
Infographics and databases are licensed under a Creative Commons Attribution 4.0 International license. Read the full text of the license here: https://creativecommons.org/licenses/by/4.0/legalcode

Software (e.g. dynamic visualizations) is licensed under a GNU General Public License Version 3 as published by the Free Software Foundation here: https://www.gnu.org/licenses/gpl.html

You represent and warrant that you have all necessary rights, licenses, and permissions to grant the above license and that the content submitted by you and the submission of such content, do not and will not violate any intellectual property rights (including but not limited to copyrights and trademark rights) of any third party.

For any questions regarding the challenge, please contact the Unite Ideas team at uniteideas@un.org