Posts tagged remote sensing
The Potential for Data-Driven Policymaking in Africa: Success Stories Across the Continent

Policymaking without data is a rudderless ship.” Indeed, data and statistics are fundamental to improving evidence-based decision-making. And while statistical capacity and the use of data for decision-making have improved across the globe, Africa still lags far behind other regions. This is especially true for civil registration and vital statistics (where only eight out of 50 African countries have a system to register deaths), climate data and environmental monitoring, and health data. In addition, even in African countries that have the data available, its use is often hindered by weak data literacy and data-driven policy design cultures. Fortunately, in recent years there have been some bright spots, including the rise of big data innovations and a number of regional and multi-stakeholder partnerships to tackle COVID-19 and other complex challenges. This African Statistics Day, we’ve highlighted a few of the noteworthy cases in which data-driven decision-making is improving development outcomes and decision-making on the continent.

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The Role of Data Partnerships in Paving the Road Ahead for Secondary Cities

Local action is critical to achieving the Sustainable Development Goals (SDGs) by 2030. According to the UN, 3.5 billion people – nearly half of humanity - currently live in cities. And this number will only continue to increase over the next several decades. The latest UN-Habitat World Cities Report reports that the world will continue to urbanize over the next three decades - from 56 percent in 2021 to 68 percent in 2050 - an increase of 2.2 billion urban residents, living mostly in Africa and Asia. Cities are also becoming increasingly interconnected. As such, cities, particularly “Secondary Cities,” will play a critical role in advancing the sustainable development agenda in the years ahead.

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An UNGA Data Snapshot: Data Financing, Digital Transformation, and Data Use Take Center Stage

This week marked the official end of the 77th UN General Assembly (UNGA), where leaders from across the globe convened in New York to confront the world’s biggest challenges, including the war in Ukraine, global supply chain and economic issues, rising interest rates and debt levels, climate change, and ending the COVID-19 pandemic. We provide a high-level snapshot of the data-related highlights from the week below.

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Innovating with GIS Technologies: Emerging Insights from Countries on Expanding Access to Clean Water

Since the beginning of the fourth industrial revolution, government agencies have used digital tools and technologies to support decision-making. More recently, tools such as Geographic Information Systems (GIS), which create, manage, analyze, and map all types of data, have become increasingly popular. And the COVID-19 pandemic has accelerated their use, with recent innovative GIS applications ranging from the John Hopkins’ COVID-19 dashboard to the Pan American Health Organization’s (PAHO)’s spatio-temporal analysis of the COVID-19 outbreak in the Amazon region to the World Health Organization’s use of GIS tools for contract tracing in Zimbabwe. One area of sustainable development where GIS is receiving significant attention is around SDG 6 (clean water and sanitation). Nearly two billion people globally still lack access to safely managed drinking water, and recent data shows that the world is not on track to meet SDG 6 by 2030.

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The Quest for Fit-for-Purpose Earth Observation and Remote Sensing Data

New data sources and innovative approaches using big data techniques, spatial analysis, predictive modeling, and other technologies are creating a range of new datasets that can help measure and monitor SDG-related targets and indicators. And while data availability is vital to tackling any global agenda, more data does not always guarantee good decision-making. To take meaningful action--whether it be a global crisis, like the COVID-19 pandemic, or the recent earthquake in Haiti--policymakers and other SDG stakeholders must understand what data are fit-for-purpose. Earth observation (EO) and remote sensing products have emerged as an important source of data that present an opportunity to monitor environmental, agricultural, and other SDG-related indicators in fine temporal and spatial resolutions. With the increase of near real-time information, how do users identify the best-suited data source for their application of interest?

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