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In this session, we explored what is represented in performance data, how it is interpreted, and how we can use it.
The International Network for Data on Impact and Government Outcomes (INDIGO) is an emerging data collaborative interested in sharing data about the design, implementation and evaluation of outcome-based projects. INDIGO’s ambition is to support the creation and use of quality data by policymakers, NGOs, citizen advocates and anyone who is addressing or is interested in complex social problems. Learn more about INDIGO here.
The International Network for Data on Impact and Government Outcomes (INDIGO) peer learning group is about building shared culture and standards around data in social outcome-based projects. The group meets quarterly and is a forum for civic tech enthusiasts, policy-makers and other actors in cross-sector partnerships for social outcomes to work together towards better data for better social outcomes. The sessions are run by Mara Airoldi, GO Lab Academic Director, and Juliana Outes, GO Lab Data Steward and Srinithya Nagarajan, GO Lab Policy Engagement and Communications Associate. Read more about the INDIGO initiative here.
Listen to the audio recording of the session here
In this session, we used the Life Chances Fund projects' data as a starting point for a conversation on how to use performance measures to improve public services. Together with a group of practitioners working with performance data, we discussed the uses of performance data and how different audiences interpret these data. We heard from an academic about behavioral public performance and explored the biases in people's perception and use of data, and lessons for practitioners and policymakers.
Before this peer learning session, we encouraged our participants to look at the recently published Life Chances Fund's projects' performance data.