Best use of Data/AI to Achieve Social Impact
Sponsored by SPONSOR NAME
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/AI 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 to tackle issues linked to the environment, poverty, social and economic disadvantage.
The data science/AI project should have been conducted in the prior 12 – 18 months.
It is recommended that your application is submitted in data science context rather than marketing literature as each submission will be marked against the criteria set out below and will be reviewed by a data science professional.
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]
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/AI 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]
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]