This call supports research that explores how AI is reshaping labour markets, productivity, and inequality across Africa, supporting policy makers to ensure AI works for everyone, especially the most vulnerable.

They invite concept notes that explore the socio-economic impacts of AI in African LMICs, with a focus on differential impacts, inequality and marginalized populations. Projects should address key knowledge gaps and generate evidence to guide responsible AI policies.

Objectives 

• The specific objectives are to:
  • Generate rigorous, context-specific data and evidence on the socioeconomic impacts of AI.
  • Inform inclusive policymaking on AI.

Themes 

• Research should align with one or more of the following themes:
  • Labour and Livelihoods: How AI is transforming labour markets and employment, especially for youth and informal workers.
  • Productivity and Economic Transformation: The role of AI in reshaping sectors and supporting inclusive growth.
  • Poverty and Inequality: Risks of exclusion and unequal benefit distribution across demographic groups.
  • Global Inequality and AI Colonialism: Power imbalances in AI development and strategies for local innovation.

Funding Information

• As a result of this call, up to four grants of up to CAD 1 million will be issued. The project duration will not exceed 36 months, including all research activities and final reporting. Proposals will be selected with consideration for adequate cross-regional representation and to address all priority thematic areas. Multi-country research is encouraged.

Eligibility Criteria 

• Concept notes must be submitted by organizations registered or incorporated in African LMIC countries.
• The following eligibility criteria also apply:
  • Research team composition: Proposals may be submitted by individual organizations, or by consortia of up to five organizations. Proposals from consortia must name one lead organization, which can sub-grant to the others. Proposals from, or that include, private sector partners should demonstrate how private sector resources – financial or technical knowhow - will contribute to the project. Organizations/consortia must have a strong presence and track record of work in Africa.
  • Team expertise: Teams must demonstrate relevant expertise in social science research, AI and digital governance and related fields. Multidisciplinary teams and collaborations across institutions are encouraged, especially those that include early-career researchers, women, and underrepresented groups.
  • Institutional capacity: The lead organization must have the administrative and financial capacity to manage the grant and comply with reporting requirements.
  • Geographic focus: Research must be focused on Sub-Saharan African contexts, with clear relevance to local or regional policy, governance, or development priorities.

For more information, visit IDRC.

https://idrc-crdi.ca/en/funding/call-concept-notes-socio-economic-impacts-artificial-intelligence-africa