Room Fontaine F
Room Fontaine G
Room Fontaine H
Room Fontaine Outremont
Challenge F1:
Open Contracting
Hackpad URL
Challenge G1:
Strengthening the IATI Network Effect
Hackpad URL
Challenge H1:
Automated Coding of Project Activities
Hackpad URL

Challenge O1:
Geocoded Aid Data
Hackpad URL

Challenge F2:
Extractives Payment Data
Hackpad URL


Challenge G2:
Follow the money - mapping traceability through IATI
Hackpad URL

Challenge H2:
Domestic Grant Reporting Standard
Hackpad URL
Challenge O2:
Muskoka Progress and Results Tracker
Hackpad URL
Challenge G3:
Canadian IATI publishing tool
Hackpad URL
Challenge O3:
Education Dashboard
Hackpad URL

Challenge F1: Open Contracting (ROOM FONTAINE F)

Sarah Bird

Tim Davies
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

Challenge F2: Extractives Payment Data (ROOM FONTAINE F)

Kady Seguin
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

Challenge G1: Strengthening the IATI Network Effect (ROOM FONTAINE G)

Owen Scott
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

Challenge G2: Follow the money – mapping traceability through IATI (ROOM FONTAINE G)

John Adams
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

Challenge G3: Canadian IATI publishing tool (ROOM FONTAINE G)

Michael-Lenczner
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

Challenge H1: Automated Coding of Project Activities (ROOM FONTAINE H)

David Rust-Smith
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

Challenge H2: Domestic Grant Reporting Standard (ROOM FONTAINE H)

Daniel Drouet
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

Challenge O1: Geocoded Aid Data (ROOM FONTAINE OUTREMONT)

Qiyang Xu

Pernilla Näsfors

Johannes Kiess
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

Challenge O2: Muskoka Progress and Results Tracker (ROOM FONTAINE OUTREMONT)

Aniket Bhushan
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

Challenge O3: Education Dashboard (ROOM FONTAINE OUTREMONT)

Patrick Montjourides
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