Monitoring, evaluation, and learning from policy engagement


If you would like to take part please register your expressions of interest by 20 November 2023, 12:00 GMT Please note, this is a 2 part workshop. You can nominate which session date you would like to attend for each part.

This opportunity is for members of OPEN. If you would like to attend this workshop you can join OPEN here researchsupport.admin.ox.ac.uk/open. All research and professional services staff at Oxford in any division or faculty, plus DPhils with an interest in policy engagement are invited to be members.

Putting in place effective processes for learning is key to getting better at policy engagement, and to meeting some of the demands we face to demonstrate the impact of our work. But what tools and resources can we use – and how do we use them?

To help researchers answer these questions, the Policy Engagement Team is offering for the first time a short course, comprising two parts, each lasting 2 hours.
In Part 1, participants will engage in small-group and plenary activities. They will learn about effective techniques for monitoring, evaluation, and learning related to policy engagement. These concepts are then applied through drafting a theory of change.

In Part 2, participants will expand their understanding of tracking outputs and impacts throughout the project cycle by utilizing pertinent tools and techniques. They will put their knowledge into practice by applying one of the previously reviewed tools within the context of a case study.

The team will run each part twice, in different venues and at different times, allowing applicants to pick the options for each part that best suits their circumstances.
Learning outcomes * A better understanding of the foundational concepts of monitoring and evaluation, including the principles and methodologies used to assess policy engagement outcomes. * More proficiency to develop a theory of change, and to track outcomes and impacts.

Venues: Big Data Institute and Oxford Martin School
Delivery mode: In-person (only)
Dates: Part A – 28 or 29 November; Part B – 5 or 8 December 2023