Best use of Data to achieve Social Impact

Sponsored by SPONSOR NAME

Entry Criteria

Entries for this award must be self-nominated;

Nominations are open to individuals and teams residing in the Continent of Europe (including teams representing academic/commercial/not-for-profit organisations which have European based operations)

Entries should provide detail on a data science project which had a strong positive impact on social justice or environmental issues affecting their local community or the broader world around them. Topics include (but are not limited to) projects which seek tackle issues linked to the environment, poverty, social and economic disadvantage.

The data science project should have been conducted in the prior 12 – 18 months.

Datsci Social Impact

Scoring (out of 100 points):

Nominees will be scored on a number of different criteria, receiving a score out of 100:


Demonstrate your understanding of the problem. Document how the project came about and how you or your organisation got it off the ground. How did you fund this project? [20 Points]

Solution Overview

Document the solution developed for the problem. Showcase the complexities and challenges in the project and how you or your organisation overcame them. [15 Points]

Describe the data science skills, tools and techniques that were applied in order to deliver this project, in terms of both quantitative analysis of datasets and the application of machine learning for delivering predictions or recommendations. [15 Points]

Social Impact

Describe the social impact that resulted from this project. Was social impact something that was sought from the outset of the project or was it an unintended by-product? Describe any other return on investment from this project to you or your business. Show us why you believe your project is deserving of the Award for Social Impact. [50 Points]