Data and Digital for stronger, accountable institutions
We build resilient data and digital solutions to strengthen institutions.
For 25 years, we’ve combined a distinctive blend of expertise in data governance, change management, government systems, digital development, and policy engagement. We integrate these perspectives into a cohesive approach that drives meaningful digital transformation where it matters most.
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From Data to Impact: Why Data Visualization Matters in Agriculture
A lot has been said about the importance of data and data-driven decision-making. However, having data isn’t enough; what matters is being able to understand it and apply it to enable better decisions. In fields such as agriculture, where decisions can have long-term consequences, having user-friendly data tools becomes even more crucial. Decision-makers across various levels, whether they’re farmers in the field or government policymakers, need tools that not only provide data but also make it usable and actionable.
Introducing The HackCorruption Civic Tech Tools Repository
The HackCorruption team is launching the Civic Tech Tools Repository, a comprehensive, open-source collection of impactful and scalable digital solutions for combating corruption to be used not only by HackCorruption teams but also by any others interested in building or enhancing digital anti-corruption tools. The repository is designed for continuous growth through community contributions via GitHub and is intended to serve as a centralized hub for tools, source code, and resources organized across six key thematic areas.
From Standardization to Specificity: Making Multi-Country Research Work for Individual Countries
In multi-country research programs, one of the central challenges is finding the right balance between maintaining consistency across countries and adapting to local contexts that may influence research outcomes. When all participating countries pursue the same research goals, standardization becomes especially important, as it enables tools and protocols that allow for reliable comparisons and generalizable insights.