Practical Skills Workshop: Applying AI in Social Impact & Engagement (L2)

USD 0.00

Next course date: Wednesday 25 November 2026

This training workshop will bring practical guidance - through exercises in a group lab setting -to help practitioners build the ability to apply AI to common social impact and stakeholder engagement functions, using prompt engineering of Large Language Models (LLMs).

This will include:

  • developing a theory of change

  • stakeholder mapping and analysis

  • developing stakeholder engagement plans

  • monitoring & evaluation frameworks

  • data analysis (qualitative and quantitative), including of public comment datasets

  • SROI/social valuation, and

  • impact reporting.

Prompting guidance will be given for supporting social impact practice rigour and ethical considerations (including equity, inclusion, sovereignty, quality assurance and fairness).

Frameworks for critically assessing the quality of AI outputs will also be provided.

Who it’s for

  • Social impact & social safeguard professionals

  • SIA practitioners, evaluators

  • Community engagement specialists

  • Local government staff

  • Social impact practitioners that want to further apply practical AI skills (prompt engineering)

  • Organisations/ project teams building internal AI capability in the infrastructure and development sectors

Next course date: Wednesday 25 November 2026

This training workshop will bring practical guidance - through exercises in a group lab setting -to help practitioners build the ability to apply AI to common social impact and stakeholder engagement functions, using prompt engineering of Large Language Models (LLMs).

This will include:

  • developing a theory of change

  • stakeholder mapping and analysis

  • developing stakeholder engagement plans

  • monitoring & evaluation frameworks

  • data analysis (qualitative and quantitative), including of public comment datasets

  • SROI/social valuation, and

  • impact reporting.

Prompting guidance will be given for supporting social impact practice rigour and ethical considerations (including equity, inclusion, sovereignty, quality assurance and fairness).

Frameworks for critically assessing the quality of AI outputs will also be provided.

Who it’s for

  • Social impact & social safeguard professionals

  • SIA practitioners, evaluators

  • Community engagement specialists

  • Local government staff

  • Social impact practitioners that want to further apply practical AI skills (prompt engineering)

  • Organisations/ project teams building internal AI capability in the infrastructure and development sectors