Learning objectives

Knowledge

• Understanding of key social challenges at local and global levels (e.g., inequality, disinformation, climate-related risks).
• Practical knowledge the fundamentals of AI-powered research, including natural language processing (NLP), trend analysis, and sentiment analysis.
• Understand how big data and predictive analytics can be applied to identify and assess societal needs.
• Understand how AI and other digital tools (e.g., ChatGPT, Google Trends, UN Global Pulse) support informed decision-making in a social entrepreneurship context.

 Skills

• Conduct AI-supported research to identify and analyse trends, stakeholder needs, and social issues.
• Apply AI tools to collect, interpret, and visualize data relevant to social innovation.
• Develop a basic social innovation concept that responds to identified needs, informed by digital research.
• Use digital collaboration tools (e.g. Canva) to create a coherent, professional “Impact Blueprint.”
• Present and defend a solution idea using clear structure, data evidence, and persuasive communication in a pitch-style setting.
• Reflect on the role of digital technologies and ethical use of AI in social impact work.

Responsibility & Autonomy

• Curiosity and openness to exploring social problems from different perspectives, including data-driven and human-centered lenses.
• Responsibility for ethical, inclusive, and socially-conscious use of digital technologies and AI tools.
• Initiative and autonomy in defining a challenge, conducting research, and proposing solutions.
• Ability to work collaboratively and communicate ideas effectively in a team setting.
• Appreciation of the value of innovation and entrepreneurship for positive social change.