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Tiina Pasanen

Research Associate

  • Digital Societies
Portrait of Tiina Pasanen

Tiina Pasanen is a Research Fellow 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.

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