case-study

Suas believes in the power of young people to make a positive change in the world.

TASC’s mission is to produce policy analysis and present evidence-based proposals for the achievement of a more equal, flourishing society with accountable government and strong, responsible public engagement. TASC’s work focuses in particular on proposals to reduce Ireland’s high and persistent level of economic inequality and to develop the genuine participation of people in decisions that affect themselves and their society, as well as an overall commitment to promote social equality and non-discrimination including the nine grounds in the Equal Status Acts 2000-2011.

Understand to what extent youth mentees successfully complete the program to better target program improvements
Understand how effective the mentor/mentee engagements are so iCouldBe can identify areas for improvement, better train mentors and improve the mentorships overall

Understand why the European Court of Human Rights marks certain cases “important” and predict the likelihood of a case being marked as important
Understand patterns of the actual enforcement of judgments

Determine what specific features of a GlobalGiving project (title, photo, etc) lead to increased donations in order to give more accurate training to nonprofit organizations

Use the data to go beyond simple financial reporting and understand what makes arts and cultural organizations succeed
Look for connections between financial and programmatic data to help arts and cultural organizations become more effective
Identify peer organizations with similar business challenges from within their community for peer-to-peer mentoring opportunities

To look at what kinds of issues people went to Citizens Advice for help with before they ended up homeless in St Mungo’s Broadway’s system

To find a more geographically granular and up to date way to understand child poverty data in the UK

To help Shooting Star Chase understand their own data and use it to find the missing children

To find patterns in text data to better understand the shared experiences of vulnerable families and youth