Guidance on the use of AI for research

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International Planned Parenthood Federation (IPPF)

Remote (global)
  • Career category: Information Technology (IT), Research/ Data analysis
  • Job type: Consultancy
  • Experience level: Other (specified in job description)
  • Organisation type: Civil Society
  • Remote option: Remote (global)
  • Right to work requirements: Anyone can apply
  • Remuneration: EUR 15,000 EUR / Budget
  • Length of contract: Temporary/ Fixed-term
  • Deadline: 28/08/2026
  • Location: Remote (global)
Digital rights Health Sexual & reproductive rights (SRHR)
Background
IPPF is a global SRHR service provider and advocate, a movement of national Member Associations (MAs) in 150+ countries, supported by a central Secretariat and six regional offices. IPPF EN is the regional office for Europe and Central Asia.

AI is an IPPF priority for 2026–27. EN has already set the scene (a Use of AI in IPPF EN Publications standard, an AI-for-research tools database, an in-house MEL AI system, and a Federation-wide AI inventory). Global PLI now commissions Federation-wide AI-for-research guidance, piloted in EN, as the template for future MEL-function guidance (2027). The pilot runs in EN due to existing alignment and co-funding for the MA mapping. A wealth of AI-for-research guidance already exists externally (universities, funders, charities, think tanks, publishers) - the consultant adapts it to IPPF’s values, context and governance rather than starting from scratch.


Scope of Work
  • Inception: agree the definitive in/out list of research tasks, tool access (incl. whether a locally run/offline model is needed), the mapping instrument, good-practice source list, and reference-group/validation calendar.
  • Service-user-data boundary: aggregated data is in scope; client-level records/interview material are out of scope (Confidential/High-risk under the Data Classification Framework; special-category under GDPR Art. 9). The guidance states the boundary and the route to lift it later (named use case, DPIA, ethics/DPO/MA sign-off, in-house model).
  • Mapping A (EN MAs): structured interviews with 6–8 purposively sampled MAs plus EN Secretariat, 2–3 task walkthroughs, and an EN-wide short survey; non-punitive framing; produces a risk/mitigation matrix. Good practice named only with consent; shadow use, incidents and risks never attributed.
  • Mapping B (other 5 regions): one-to-one consultations with two MAs per region on current practice and support needs.
  • Guidance development: builds on a rapid desk review of external AI-for-research guidance; enabling and principles-first (sanctioned toolset incl. locally run models, prohibited uses/red lines aligned to the Data Classification Framework, human-in-the-loop as default control); plain language, modular, with decision trees, comparison tables and one-page cheat sheets.
  • Cross-jurisdiction framework: consultant aligns with EU AI Act, OECD, UNESCO, Council of Europe and WHO standards; IPPF Legal/DPO supply the legal sign-off (GDPR, POPIA, LGPD, etc.).
  • Stakeholder validation (2 workshops) and Membership  adaptation tooling: MA-adaptable format for later cross-region validation (optional contract extension).

Consultant profile, Submission & Evaluation
Eligibility: 
  • Relevant degree/experience; track record producing practical guidance/policy for multi-country or federated organisations;
  • AI and research-methods expertise able to translate technical material for non-specialists;
  • Familiarity with the external AI-in-research guidance landscape; 
  • Experience designing organizational mappings/needs assessments and facilitating participatory online workshops;
  • Familiarity with IT/data-protection governance across regions;
  • Safeguarding/research-ethics awareness; strong written English;
  • SRHR/international development experience as an asset. 

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