On December 10th-11th, CEGA’s Geospatial Analysis for Development (Geo4Dev) Initiative will host an online symposium to showcase cutting-edge tools, datasets, and applications of geospatial data for global development research, followed by a hands-on workshop for those interested in building or honing their skills in this space. The convening will formally launch the new Geo4Dev website–an open-access hub for geospatial data, research, and the newest Nighttime Lights dataset and tutorials, developed for public use by the World Bank in collaboration with the National Oceanic and Atmospheric Administration (NOAA).
All presentations with [video] next to their titles are available to watch on-demand on YouTube.
Our Geo4Dev Symposium on Dec 10th will feature a series of presentations, including a keynote talk by Christopher D. Elvidge, Director of the Earth Observation Group at Colorado School of Mines. Elvidge pioneered the development of global nighttime lights and led the production of a 21-year time series of nighttime lights (1992-2013) using data from the U.S. Air Force’s Defense Meteorological Satellite Program (DMSP). Check back for additional updates to the agenda below.
Remotely sensed data (e.g. satellite data) is rapidly becoming a critical component in geo-spatial analysis, particularly in international development when other sources of data are scarce. But the perception is that these data are too complex or costly (in terms of time and money) for general analysts to use.
Our Nighttime Lights workshop on Dec 11th will break down that perception using open source tools like Python and Google Earth Engine. Through a series of hands-on modules, experts will train researchers and policymakers–especially those based in low- and middle-income countries (LMICs)–in the application of Nighttime Lights data to important policy questions. We’ll cover Nighttime Lights data access, as well as interpretation, processing, visualization, and statistical analysis (including time series analysis).
Whether you are an analyst just starting out with Python, or a seasoned data scientist looking to sharpen your remote sensing skills, you may find this workshop helpful. After honing your skills, not even the sky will be the limit! Familiarity with Python or programming is preferred (beginner is OK) to get the most from the session, but we’ll also point to resources for training at all levels.
Senior Research Associate Director of Earth Observation Group, Colorado School of Mines
Economist, Development Impact Evaluation (DIME) Group, World Bank
Peter Wertheim Professor in Urban Policy, Harvard Kennedy School
Senior Urban Economist, World Bank
Associate Professor, Dept. of Earth System Science Deputy Director, Center on Food Security and the Environment, Stanford University
Chief Scientist and Senior Consultant, New Light Technologies
Associate Professor, School of Information; Co-Director, Center for Effective Global Action, University of California, Berkeley
Earth Observations Group, University of Colorado, Boulder
Senior Evaluation Specialist, 3IE
Geospaital Consultant and Project Manager, New Light Technologies
Development Engineering and International Food Policy Research Institute