![]() Data and automated decision making reinforce structural inequalities-largely behind the scenes. Development agencies collect and use data primarily at the behest of donors, who are often out-of-touch with local governments and civil society. Top-down data governance solutions do not allow space for people to hold those in power accountable. Existing data is left unused or underused by policymakers. Far too many people remain excluded from or invisible in data while others are harmed by their inclusion in it. Yet barriers and entrenched inequalities continue to hinder data’s potential to improve lives. Meanwhile, widespread data collection and use have transformed how people advocate for change and how decision makers understand and address community needs. Access to new data sources and shifts in technology have generated critical insights into the progress and pitfalls of tracking the United Nations’ (UN) Sustainable Development Goals (SDGs). Data shapes our daily lives and permeates the economic and social landscape of every country in the world.
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