Best use of Data to Achieve Social Impact 2018-09-12T10:15:36+00:00

Best use of Data to achieve Social Impact

Sponsored by SPONSOR NAME

Entry Criteria

Entries for this special award must be self-nominated;

Nominations are open to individuals and teams residing in Europe (including teams representing academic / commercial / not-for-profit organizations 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.

Deutsche Bank DatSci Award Sponsor

Award Category Sponsor

WINNER FOR BEST USE OF DATA TO ACHIEVE SOCIAL IMPACT

SPONSORED BY DEUTSCHE BANK

National Biodiversity Data Centre

Category Judges

We are proud to present our Judging Panel. We have assembled some of the finest intellects in the community who will judge and score all entries to select this year’s deserving winners.

Sheamus Causer
Sheamus Causer

CEO, Deutsche Bank Service Centre (Ireland) | Head of CDO, Strategy & Innovation (Ireland)

Gurchand Singh
Gurchand Singh

Head of the Garda Síochána Analysis Service | An Garda Síochána

Peter Mckenna
Peter McKenna

Head of BI EMEA and APAC | Indeed.com

Jane Cahill
Jane Cahill

Director of BI and Data Science | Paddy Power Betfair

Scoring

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

Problem

Demonstrate your understanding of the problem. Document how the project came about and how you or your organization 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 organization 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 Special Award for Social Impact. [50 Points]

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