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Polyfoni Social Sciences for AI Fellowship 2026-27: Research Collaboration for Social Scientists

The Polyfoni Fellowship is a four-month remote research collaboration for social scientists with fieldwork experience in Global South regions. Fellows conduct cultural audits of AI products deployed in their expertise areas, receiving mentorship, training, and publication opportunities.

September 21, 2026 ⏰ Deadline: Oct 15, 2026

Quick Overview

Host CountryNorway (remote fellowship)
Degree LevelMasters, PhD, Early Career
Funding TypePartial Funding
Fields of StudyAnthropology, Development Studies, Political Science, Science and Technology Studies, Sociology
DeadlineOctober 15, 2026

Scholarship Overview

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Overview

The Polyfoni Social Sciences for AI Fellowship is a four-month, part-time research programme running from November 2026 to March 2027. It connects social scientists with fieldwork experience in Global South contexts to AI governance and product evaluation. Fellows work remotely to conduct “cultural audits”—empirical analyses of how AI products encode assumptions about the communities they serve.

The fellowship addresses a critical gap: AI development teams rarely include people trained to study how societies actually work, yet social scientists possess exactly the qualitative and ethnographic methods these teams need.

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What Fellows Do

Fellows complete a structured cultural audit of a real AI product in their region of expertise. This is not theoretical research—you apply existing fieldwork knowledge to evaluate technology already deployed in communities you understand.

Each audit follows Polyfoni’s Cultural Audit Method:

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  • Assumption mapping: Identifying what beliefs about users are built into the product
  • Contextual failure identification: Finding where those assumptions break down
  • Severity assessment: Evaluating the impact of these failures
  • Recommendations: Producing actionable guidance for product teams

Example audit targets include health AI chatbots in East Africa, agricultural tools in West Africa, ocean AI in Southeast Asia, or LLMs in non-English-dominant markets.

Programme Structure and Commitment

The fellowship requires approximately 5 hours per week over four months. Components include:

  • Dual mentorship from an academic collaborator and an AI industry professional
  • Training in Polyfoni’s Cultural Audit Method
  • Online masterclasses on AI governance and academic-to-industry career transition
  • Monthly group sessions for peer feedback and guest inputs from AI practitioners
  • Career discussions with mentors and the Polyfoni network

Outputs include a report written for product teams, published on Polyfoni’s Substack and Making AI Listen open-access publication under the fellow’s name.

Eligibility and Selection Criteria

Polyfoni welcomes applicants from across humanities and social sciences, including:

  • Anthropology
  • Sociology
  • Science and Technology Studies (STS)
  • Development studies
  • Political science
  • Area studies

Degree level: MSc and PhD students, early-career researchers, and scholars in adjacent fields. No strict degree requirements exist.

Essential requirements:

  • Deep regional expertise with evidence of fieldwork in a Global South context
  • Priority regions: East Africa, South Asia, Southeast Asia, Latin America, China
  • Clear motivation for working at the intersection of social science and AI
  • Concrete idea of which AI product you would audit
  • Comfort working in English (additional languages advantageous)

Not required: Prior AI or technical experience.

Selection prioritises diversity of region and discipline. Scholars based in the Global South are particularly encouraged to apply.

Application Process

The selection process has two steps:

Step 1: Initial application

Submit a short application with a motivation statement (500 words maximum). Successful candidates proceed to CV review.

Step 2: Interview

Final candidates complete an interview and research discussion with the Polyfoni team.

Mentor matching occurs based on regional expertise alignment (your fieldwork region and the mentor’s company market) and sector alignment (health, fintech, content moderation, etc.).

Key Dates

  • Application deadline: 15 October 2026
  • Review: Rolling basis—apply early
  • Fellowship period: November 2026 – March 2027

About Polyfoni

Polyfoni was founded to bring social science knowledge into AI development, particularly from underrepresented regions and communities. The organisation studies AI products as social institutions—examining built-in assumptions, whose knowledge counts, and what happens when products designed in one context deploy in another.

The team combines expertise in business anthropology, global health research, AI governance, and qualitative methods. Based in Oslo, Polyfoni works with researchers and practitioners across Europe, Africa, and Asia.

Why African and SADC Scholars Should Apply

The fellowship explicitly prioritises East Africa and other Global South regions where AI deployment is accelerating but local social science expertise is underutilised in tech development. For Zimbabwean and SADC scholars with fieldwork experience, this represents a structured pathway to apply qualitative research skills to AI governance—a growing field with career implications across academia, policy, and industry.

The remote format removes relocation barriers. The part-time structure allows continuation of existing commitments. The mentorship and publication components build credentials for technology-sector career transitions.

Apply on the official site →

You apply directly with the provider. We never charge for applications or ask for payment details. How we verify scholarships

Funding Coverage

Not specified in available materials

Eligibility Criteria

Social scientists and humanities scholars with fieldwork experience in Global South contexts, particularly East Africa, South Asia, Southeast Asia, Latin America, or China. MSc/PhD students and early-career researchers. No prior AI experience required.

Required Documents

Motivation statement (500 words maximum), CV (requested after initial screening)

Application Process

1) Submit initial application with 500-word motivation statement. 2) Successful candidates contacted for CV review. 3) Final candidates interviewed by Polyfoni team. Applications reviewed on rolling basis.
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Frequently Asked Questions

The fellowship description does not specify funding amounts or what costs are covered. The programme provides mentorship, training, masterclasses, and publication opportunities. Contact Polyfoni directly at contact@polyfoni.no for clarification on any stipend or financial support.
Yes. Prior AI experience is explicitly not required. The fellowship is designed for social scientists who can apply qualitative and ethnographic methods to AI governance. Training in Polyfoni's Cultural Audit Method is provided.
Demonstrate concrete fieldwork experience in your region with evidence of deep contextual knowledge. Identify a specific AI product deployed in your expertise area that you would audit. Explain clearly why you want to work at the intersection of social science and AI, and what career path this fellowship supports.
Selection is not described numerically. Polyfoni selects for diversity of region and discipline, with priority given to candidates from Global South contexts. Applications are reviewed on a rolling basis, so early submission is advantageous.
The fellowship requires approximately 5 hours per week over four months (November 2026–March 2027). It is designed as part-time and remote, intended to accommodate existing academic or professional commitments.
Fellows receive career support through mentorship and the Polyfoni network. The published audit report provides a credential for technology-sector, policy, or academic career paths. Fellows are encouraged to discuss ongoing opportunities with mentors.