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Tiina Pasanen

Research Associate

Digital Societies

Portrait of Tiina Pasanen

Tiina Pasanen is a Research Associate at ODI. Previously a Research Fellow, Tiina specialised in monitoring, evaluation and learning (MEL) methods and practices. Her work focuses on the use and usefulness of M&E data and systems, and how evidence and data can be integrated into organisational learning and decision-making. Her projects and roles range from acting as a long-term learning partner in a diverse set of programmes to more short-term evaluation and quality assurance assignments. She has a mixed methods background and can conduct both quantitative and qualitative research, including impact evaluations. She has written several papers and guidance notes on how to choose M&E tools and approaches, how to design M&E frameworks and how to facilitate learning in large programmes. She also regularly blogs about MEL topics.

  1. Fostering learning in large programmes and portfolios: emerging lessons from climate change and sustainable development


  2. Measuring development impact isn't just technical, it's political

  3. When and how to develop an impact-oriented monitoring and evaluation system

    Working papers

  4. Four tips for planning your policy research M&E

  5. How to design a monitoring and evaluation framework for a policy research project

    Working papers

  6. Building paths for youth entrepreneurship

    Research reports

  7. Addressing gender in impact evaluation: what should be considered?

    Working papers

  8. Guidance on tasks and deliverables for different evaluation phases


  9. Are your impact evaluations missing this important first step?

  10. Evaluability assessment for impact evaluation: guidance, checklists and decision support


  11. 10 things to know about evaluation

    Briefing/policy papers

  12. Research for better aid: an evaluation of DFAT's investments

    Research reports

  13. Report template for an impact-oriented monitoring and evaluation system


  14. Template concept note for an impact evaluation


  15. How can monitoring data support impact evaluations?

  16. Enough pick and mix: time for some standards on mixing methods in impact evaluation

  17. From rigorous methods to rigorous processes – directions for travel after the Randomised Control Trial debate