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Our Hack and Learn is an international event where a diverse community of practitioners, researchers, policy makers, students and data enthusiasts get together and work towards tackling pressing questions in the field of social outcomes using data.
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.
INDIGO is a part of the Government Outcomes Lab at the Blavatnik School of Government, University of Oxford. The Government Outcomes Lab represents a ground-breaking example of research-to-practice innovation. Our work demonstrates the power of an academic institution walking shoulder to shoulder with governments and related organisations to enhance policy and practice towards better outcomes for people. Explore the Government Outcomes Lab's events, news and tools here.
Interested in using data to better understand outcomes-based projects? Want to meet and work with other people with the same interest? Our bi-annual Hack-and-Learn event is designed to give anyone interested in learning more about the use of data in the field of social outcomes a chance to connect with others and work on a real-life project. Harnessing skills and experiences from a diverse pool of actors, we provide a space for learning and community building around the use of data and an opportunity to solve problems, co-produce and make better sense of the use of data.
The Hack-and-Learn is a two-week online event where participants will have the chance to choose from a selection of data-related challenges set by our team at the Government Outcomes Lab and our partners. A letter of participation will be provided to those participants who actively engage in one or more challenges.
While some data enthusiasts might enjoy doing the coding and data wrangling, others might prefer researching, writing and tackling policy issues around the project. Those interested in graphic design can also help out by creating stunning data visualisations.
This is not the final list of challenges, more challenges will be announced soon!
Have a different idea of what you would like to explore with a team of data and policy enthusiasts? Please let us know and we will give you 10 minutes from our kick-off session. You will pitch your idea and become the leader of your team.
The aim of Hack-and-Learn is not just to improve data in the field, but also to share learnings with others. At the end of the two weeks, we will host a Show and Tell session on 23 September at 2 pm BST for each team to share their reflections and outputs. Along with our partners, we will then collate these lessons learnt into a blog and discuss them at the Peer Learning session on 17 November. Any participant who wants to share their story is welcome to contribute as co-author of the blog. The blog will be part of our Oxford Government Outcomes Blog.
For past Hack-and-Learn events, we had teams visualising foreign philanthropy to India, mapping the network of organisations involved in impact bond projects and investigating whether impact investors were aligning their outcomes-based contracts with the UN SDGs. To learn more about what the teams got up to in past editions of the event, you can read our Hack and Learn Technical and Learning Report March 2021 here, our Hack and Learn Technical and Learning Report September 2021 here or our most recent blog on the Hack and Learn event here.
Inspired by the data visualisations developed during our last Hack-and-Learn, we integrate most of the outputs to our website, including our prototype Sankey diagram which examines the relation between social outcomes and SDGs, set up by Hack Team 4, or our new pipeline dataset, designed and brainstormed by Hack Team 12.
The International Network for Data on Impact and Government Outcomes (INDIGO) is a community of peers with an interest in sharing data about the design, implementation and evaluation of cross-sector collaborations to address complex social problems. We are interested in fostering a culture of transparency, learning, and capacity development across public, private, and third sectors. In addition to publishing open data and open-source code, we want to explore and highlight opportunities to join-up various open data standards initiatives. (We are collaborating and borrowing wheels -- not reinventing the wheels.)
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 Eleanor Carter, GO Lab Research Director, and Ruairi Macdonald, GO Lab Research Associate.
Interested? To join the mailing list and register to our quarterly online meetings, please email email@example.com.
INDIGO is a community of peers from different countries, sectors and policy domains with an interest in sharing data about projects that seek to address complex social problems. You can explore our various tools and datasets available as open data here.
As an emerging data collaborative, we believe that helping more people share and use quality data will improve both the efficiency and effectiveness of these projects.
Interested in sharing your data or participating in any INDIGO events? Get in touch at firstname.lastname@example.org to join our mailing list and find out more about our upcoming events.
We will provide updates, including a call for participants via the INDIGO email list along with our partners. We are also open to comments and suggestions on the above session sequencing and agendas. To join the email list or provide feedback, please email email@example.com.