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papers/emily_dorne/main.md

@@ -590,7 +590,7 @@ CyFi is a powerful tool for identifying high and low levels of cyanobacteria, an
 
 # Acknowledgements
 
-This project was supported by funding from National Aeronautics and Space Administration Science Mission Directorate's Earth Science Applied Sciences, Health and Air Quality, and the NASA Prizes, Challenges, and Crowdsourcing Programs. The project was led by DrivenData and managed by the NASA Tournament Lab, part of the Prizes, Challenges, and Crowdsourcing Program in NASA's Space Technology Mission Directorate for the NASA Open Innovation Services 2 (NOIS2) contract 80JSC020D0041.
+This project was supported by funding from National Aeronautics and Space Administration Science Mission Directorate's Earth Science, Applied Sciences, Health and Air Quality, and the NASA Prizes, Challenges, and Crowdsourcing Programs. The project was led by DrivenData and managed by the NASA Tournament Lab, part of the Prizes, Challenges, and Crowdsourcing Program in NASA's Space Technology Mission Directorate for the NASA Open Innovation Services 2 (NOIS2) contract 80JSC020D0041.
 
 The authors express their gratitude to collaborators, advisors, and data providers at the following organizations, whose support made this study possible: National Oceanic and Atmospheric Administration, Environmental Protection Agency, Alaska Department of Environmental Conservation, Arizona Department of Environmental Quality, Bureau of Water Kansas Department of Health and Environment, California Environmental Data Exchange Network, Centers for Disease Control and Prevention, Connecticut State Department of Public Health, Delaware National Resources and the University of Delaware's Citizen Monitoring Program, EPA Central Data Exchange, EPA National Aquatic Research Survey, EPA Ohio, EPA Water Quality Data Portal, Indiana State Department of Health, Iowa Department of Natural Resources, Louisiana Department of Environmental Quality, Maine Bureau of Water Quality - Division of Environmental Assessment, N.C. Division of Water Resources N.C. Department of Environmental Quality, New Jersey Department of Environmental Protection, New Mexico Environment Department, New York State Department of Environmental Protection, North Dakota Department of Environmental Quality, Pennsylvania Department of Environmental Protection, Rhode Island Department of Environmental Management - Office of Water Resources, South Carolina Department of Health and Environmental Control, State of Georgia - Environmental Protection Division, State of Michigan - Lake Michigan Unit - Surface Water Assessment Section - Water Resources Division - Department of Environment Great Lakes and Energy, Tennessee Department of Environment and Conservation, Texas Commission on Environmental Quality, UMRBA (Upper Mississippi River Basin Association), US Army Corps of Engineers, USGS Water Quality Data Portal - Harmful Algal Bloom Science in Texas, Utah Department of Environmental Quality - Division of Water Quality, Vermont Department of Health - Health and the Environment, Virginia Department of Health, West Virginia Department of Environmental Protection, Wisconsin Department of Natural Resources, Wyoming Department of Environmental Quality. The authors would like to thank Yang Xu, Andrew Wheeler, and Raphael Kimina, the Tick Tick Bloom competition winners whose modeling approaches provided the foundation for CyFi. The authors also thank the reviewers who provided constructive comments and suggestions to improve the quality of the manuscript.