ODI Logo ODI

Trending

What we do

Search

Newsletter

Follow ODI

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. Monitoring and learning during Covid-19: beyond remote data collection

  2. Participatory scenario planning in times of uncertainty: five key lessons

  3. How cognitive biases affect monitoring, evaluation and learning – and what can be done about it

  4. Getting intentional about M&E: choosing suitable approaches for adaptive programmes

  5. Failing forward: how to encourage sharing of what is not working

  6. Supporting adaptive management: monitoring and evaluation tools and approaches

    Working papers

  7. From data to decisions: how to promote evidence-based decision-making through external investments in country-led monitoring processes

    Research reports

  8. Are we suffering from obsessive measurement disorder?

  9. What drives policy change in Nepal? A comparative analysis

    Research reports

  10. Three ways to incorporate evaluative thinking in monitoring

  11. ‘Learning partners’: overcoming the collective action dilemma of inter-organisational knowledge generation and sharing?

    Other

  12. Measuring the hard-to-measure in development: dimensions, measurement challenges, and responses

    Other

  13. Outcome monitoring and learning in large multi-stakeholder research programmes: lessons from the PRISE consortium

    Research reports

  14. Why we should be accountable for learning – and where to start

  15. 2018: time to update the DAC evaluation criteria?

  16. Partner-led evaluation for policy research programmes: a thought piece on the KNOWFOR programme evaluation

    Working papers

  17. Measuring the hard to measure in development

    Event

  18. Monitoring and evaluation: five reality checks for adaptive management

  19. Challenging the myths around semi-arid lands

    Briefing/policy papers

  20. Supporting accountability in fragile settings: a review for the Somalia Implementation and Analysis in Action of Accountability Programme

    Research reports