What does “fit-for-purpose” data actually mean? It depends: on who you ask, and what decision is at stake. For governments and development partners – particularly those who rely on data from country systems for program planning and management – much frustration came from perceived redundancies in statistical and administrative data systems.
Within the Sustainable Development Goal context of “leave no one behind,” there exists an opportunity – and a pressing obligation – to support better outcomes for children. But much of the change needed must happen at country and local level, through better use of data and evidence in decision-making.
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?
We are pleased to announce the digital publication of Development Gateway’s 2018 Annual Report.
This year, we have built on our decision-focused approach to data and evidence; implemented innovative programs in our expanding agriculture and extractives industries focus areas; and invested in a systematic gender lens.
Sub-Saharan Africa’s population has grown by 11 million people a year for the past 60 years – for a total of about 670 million people since 1950. Mortality rates have declined, fertility rates have risen – but what does a shifting demographic dividend mean for keeping up with food security?
To achieve data use, we must change how we approach, design, and implement M&E systems. At present, investments in M&E systems suffer from high levels of inefficiency, and there is a high rate of failure across implemented systems. In taking steps to improve how M&E systems are designed, and to achieve truly useful systems, Development Gateway is pleased to announce the release of our latest white paper, “The Custom Assessment and Landscaping Methodology: Balancing Accountability & Learning in M&E Systems.”
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