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Advancing the data revolution in the developing world
In developing countries, data collection can be time-consuming, outdated, and of poor quality. However, as technology advances and global networks improve, there is increased capacity and opportunity for a localized data revolution in low and middle-income countries to generate and use their own data to implement and make better decisions in health, education, and other key sectors. The Aga Khan University Data Innovation Office recently hosted a data seminar to recognize this data-driven revolution in the developing world. Read more
Giving Data a Voice: A Spotlight on Data-Driven Health Solutions in Coastal Kenya
Construction is ongoing for the rural Kenyan community’s new healthcare dispensary: the only permanent structure as far as the eye can see. A group of women chat in friendly clusters, occasionally breaking conversation to coo their newborns back to sleep or lead them to the breast for nursing. They are gathered for a meeting with their community health volunteer–the ensuing conversations cut through the hot afternoon air toward solutions which have helped improve their community’s health repeatedly. Read more
Unmasking Data: Revealing the Hidden Bias Within
In today's world, digital technology plays a crucial role in improving our lives. As automation continues to grow, we are faced with a significant challenge. For 49.75% of the world's population and 50.2% of Africa's population, this challenge is particularly pronounced due to the existing patriarchal societal structures. Let’s explore the impact of data bias in technology and its implications for women in Africa, while shedding light on potential solutions for a more equitable future.
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