Moving into 2019, we are pleased to be expanding RDI alongside our growing set of partners and funders. The program’s third phase focuses on agency-level engagement, and we will be scaling our partnerships with these development agencies to use results data to inform critical policy and programmatic decisions.
When someone mentions artificial intelligence (AI), it’s easy to conjure up two conflicting images: the first, killer robots whizzing past, replacing human jobs, daily tasks, and social interactions in a post-apocalyptic world; the second, a C-3PO-esque personality revolutionizing our health and food systems. Pondering this, we are also inclined to explore the question, where does global development fit in within this futuristic, Star Wars-inspired universe?
In late September, in preparation for the release of USAID’s new Development Data Library (DDL), Development Gateway (DG) and the USAID Data Services Team visited USAID staff and implementing partners in Nepal and Cambodia.
Development Gateway (DG) is proud to launch the Administrative Data-Driven Decisions (AD3) program, supported by the William and Flora Hewlett Foundation. Through this program, DG will work with governments in East and West Africa to improve the efficiency, effectiveness, and use of administrative data systems.
Later this month, we’ll be attending the International Open Data Conference (IODC) in Buenos Aires, Argentina. Made possible by the William and Flora Hewlett Foundation, DG is pleased to the financial holder of travel grants that are supporting a selected group of women to join us at IODC. In doing so, we’ve partnered with the Open Heroines network, an online group of women in open government, civic tech, and open data that is driving the facilitation of each grant award.
“The Future is Open” is this year’s IODC theme, with the conference focusing on innovative solutions and opportunities for collaboration to inspire real progress in the years ahead. Critical to this progress is ensuring that data accurately reflects all citizens and their diversity of experiences, needs, barriers, and aspirations. But we know that open data continues to struggle to capture this for an entire half of the population: women.
What does it take to design a platform to collect, manage, and analyze a country’s agricultural information? Ideally, a significant amount of time to speak with key data producers and intended data users to understand needs and achieve buy-in. But, as was our experience in Malawi, – it also requires a fair amount of humility and iteration.
Recently, we shared a post on how we’re driving progress towards inclusive agriculture data use by strengthening agriculture data interoperability through FHI360’s Mobile Solutions Technical Assistance and Research (mSTAR) project.
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