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Defining Social Purpose and Evaluating Viability through AI Research

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.

 

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