Room Fontaine F
Room Fontaine G
Room Fontaine H
Room Fontaine Outremont
|Challenge F1: |
|Challenge G1: |
Strengthening the IATI Network Effect
|Challenge H1: |
Automated Coding of Project Activities
Geocoded Aid Data
|Challenge F2: |
Extractives Payment Data
|Challenge G2: |
Follow the money - mapping traceability through IATI
|Challenge H2: |
Domestic Grant Reporting Standard
Muskoka Progress and Results Tracker
Canadian IATI publishing tool
Increased transparency in public contracting can contribute to better development outcomes. Efforts are underway to develop the first version of a global open data standard for publishing information on public contracts.
The challenge will explore data on contracts in various sectors (e.g. aid, infrastructure) and think of ways to use it with a view to identifying the technical requirements that standardized data should meet. This will feed into the standard development process.
Outcomes: prototypes that make use of existing contract data, and a range of technical requirements for standardized data.
Main datasets: Government contract and procurement datasets from Canada and around the world.
Leads: Sarah Bird, Aptivate; Tim Davies, Web Foundation
New disclosure requirements over the past couple of years will see oil, gas and mining companies having to disclose the payments that they make to governments in any of the countries where they operate (e.g. taxes, royalties, bonuses, fees, etc.). With these new standards, companies will need to input payment data into a template, which can then be made public. The challenge is to create a template that companies can use to disclose this information.
Outcomes: template that is secure, allows for easy access and use of the data by the public, is inter-operable across multiple jurisdictions (EU, US, Canada).
Main datasets: Securities and Exchange Commission datasets, Liberia – minerals sector, European extractives data.
Lead: Kady Seguin, Publish What You Pay Canada
Unique identifiers for sectors, organizations, countries, projects, and transactions provide an implicit web of links which can be analyzed to show development efforts as a complex set of interrelationships.
AidData has been cleaning up unique ID references in the IATI Registry so that referential integrity is more consistently implemented between data sources. Building on this work, the challenge seeks to enable automated correction and analysis of data in the IATI Registry.
Outcomes: tool for automatic IATI XML auditing and correction, and for network analysis.
Main datasets: IATI Registry and AidData correction mappings
Lead: Owen Scott, AidData
There are good examples now in IATI data of being able to trace funding from a donor to NGOs and implementing partners (see the examples on the UK Development Tracker.
Outcomes: a) funding chains in IATI data, and b) innovative models to display and explore those funding chains.
Main datasets: IATI files
Lead: John Adams, Department for International Development
Web-based tools (e.g. Aidview) help small organizations convert their data into the IATI Standard and publish it to the Registry. However, these tools are not suited for organizations that have several dozens projects – yet they don’t always have the data-management capacity to publish to IATI.
The challenge will explore the systems and reporting requirements of Canadian mid-size NGOs to identify commonalities with the IATI Standard and create a tool that would convert their data to IATI with minimal additional work.
Outcomes: tool that builds on NGOs’ existing systems and reporting requirements to publish IATI data.
Main datasets: Samples of project/activity data from various Canadian NGOs
Lead: Michael Lenczner, Ajah
International development projects are usually tagged to a specific sector, such as “Health” or “Water and Sanitation”. However, for real-world planning and coordination, much more detail is needed. Over the past 5 years, AidData.org has worked to do detailed “activity coding” on development projects – taking them from “Health” to “Malaria control” or “Medical Insurance Programs” – based on written project descriptions.
The challenge is now for developers with skills in natural language processing, machine learning, and/or algorithm design to automate some of this coding. A special github.io page will be created to compare the performance of different submissions.
Outcomes: tool to provide automatic activity coding based on project descriptions.
Main datasets: reference data sets with defined answers.
Lead: David Rust-Smith, AidData
Despite the wide adoption of the IATI Standard, it is likely that some type of organizations (e.g. churches, private family foundations) may not adopt it. The challenge will work from their current publication practices to develop a draft standard applicable to several types of funders including foundations, corporations, governments and other philanthropic actors. This will benefit from previous work by Tim Davies.
Outcomes: a draft standard that accurately reports grants from the three major types of funders in Canada: foundation, corporate, and government.
Main datasets: Canadian charity datasets, Canadian Heritage, Secrétariat à l’action communautaire autonome et aux initiatives sociales (SACIS) – Québec Government
Lead: Daniel Drouet, Ajah
Several developing countries and donors are publishing disaggregated, geocoded datasets of aid projects, which answer the question “who is doing what where?” This challenge aims to help make sense of this data and investigate how to present it so that it can be useful and appealing to the people who benefit from these projects.
Outcomes: prototypes that either a) help better understand open aid datasets (e.g. analysis, comparisons) or b) present data in a way that makes it accessible and useful to people on the ground.
Main datasets: datasets from countries’ aid information management systems and donors.
Leads: Johannes Kiess, Pernilla Näsfors and Qiyang Xu, World Bank Institute
It is possible to leverage open data feeds to build an information-sharing application to shed light on Canada’s flagship Muskoka commitment for maternal, newborn and child health. This effort will build on previous work by NSI, including a proof of concept for an online tool.
Outcomes: application that allows users to perform a range of tasks such as examining expenditures, overlaying data from different sources, allowing feeding of results.
Main datasets: IATI files, health indicators (World Bank, WHO)
Lead: Aniket Bhushan, North-South Institute
Aid represents a major share of education budgets in many countries and can be critical for the lives of children left out of school – about 57 million in recent years. Which countries are most affected by recent cuts in education aid? To what extent are resources being directed to countries most in need? Can we track the effect of aid flows to provide every child with a primary education?
Outcomes: dashboard or related tool to visualize the nexus between education aid and education needs in developing countries around the world.
Main datasets: IATI files, DAC CRS++ data, education data (UNESCO)
Lead: Patrick Montjourides, UNESCO Institute on Statistics