Learning objectives
Knowledge
- Understand the fundamental concepts of social impact measurement and why it is essential for social enterprises.
- Identify key impact indicators and metrics relevant to social projects.
- Learn how AI tools enhance impact evaluation by improving data collection, analysis, and decision-making.
- Understand ethical considerations in AI-driven impact measurement, such as bias detection and data transparency.
Skills
- Use AI tools to collect, clean, and analyse impact data efficiently.
- Apply data visualization tools (e.g., Tableau AI, Power BI, Google Data Studio) to create interactive impact dashboards.
- Develop AI-supported reports that effectively communicate social impact findings.
- Compare and interpret impact trends over time using AI-powered insights.
Responsibility & Autonomy
- Foster ethical responsibility in AI usage, ensuring fairness and inclusivity in data interpretation.
- Appreciate the importance of transparent and evidence-based reporting for credibility and stakeholder trust.
- Cultivate teamwork and communication skills through group-based problem-solving and discussions.
