Evaluating to support innovation

Participants will gain understanding of what Evidence Gap Maps are (tool), the objectives for employing them, lessons on how to make best use of them to engage intended users.

Participants will learn how artificial intelligence can be used to unlock lessons and evidence-based knowledge, in context and intent, from independent evaluation reports.

Participants will learn about the innovative use of geospatial impact evaluation through a case study focused on the use of geospatial data and machine learning to assess the horizontal and vertical spatial impact of the road construction projects in Maputo and Mumbai.

COVID-19, climate change and other global crises clearly highlight the growing fragilities in societies and nature.

Participants will be exposed to new techniques and methods of collecting information when traditional sources of data, such as surveys and face-to-face interviews are challenging due to costs, logistics or difficult environments such as during pandemics or in post-conflict areas.

Participants will learn how results frameworks are developed to maximize utilization for decision-makers working in programmes focused on COVID-19.

Participants will learn how innovative methods of visual thinking and facilitation can be applied to improve the use and influence of evaluation, from theory of change to validating key findings, from prioritizing key recommendation to communicating with stakeholders.