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Community

INDIGO is a community of peers and an emerging data collaborative, we invite you to join us. Our community of practitioners meet regularly meet to share learnings and contribute to debates in the field. We have hosted 12 quarterly Peer Learning Sessions and 6 bi-annual Hack and Learn Events.​

Collaborate and grow our community

peer learning

System

INDIGO offers a collaborative open process for sharing information about outcomes projects, including data definitions and open source code for our database and data visualisations. The system and cycle include Lab staff who process data, the INDIGO data dictionary and the INDIGO Data Template Spreadsheet. We are grateful to the Brookings Institution for collaborating on many of the data definitions in late 2019.

Collaborate and grow our system

indigo diagram 2

Data

An outcomes-based approach fundamentally involves data on outcomes. Data may be used within an organisation, among a group of organisations, and with external parties including the public. We know that not all data are shared with everyone in the same way. However, INDIGO partners should start with the default position that their data should be shared openly with the public unless there is a good reason not to do so. The public is likely to be another funder, investor, or provider trying to solve a complex social problem so this data will be hugely useful to them. 

To date our focus has been on impact bonds. Our intention is to widen this focus to include other types of collaborations around social outcomes. 

Collaborate and improve our data

data visuals indigo .png

Contact us

Email: Interested in sharing your data or participating in any INDIGO events? Please get in touch at indigo@bsg.ox.ac.uk.

Peer learning: Join our INDIGO Peer Leaning Group! We hold quarterly 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. Find out more here.

Slack: Find us on Slack as 'GO Lab, University of Oxford'.

Open Source Code: The open-source code for the INDIGO database and visualisations is free and available for use and reuse on GitHub.