2020 and 2021 National Surveys of Scientists and Engineers on COVID-19doi:10.7910/DVN/GHOOC2Harvard Dataverse2022-03-251SciOPS, 2022, "2020 and 2021 National Surveys of Scientists and Engineers on COVID-19", https://doi.org/10.7910/DVN/GHOOC2, Harvard Dataverse, V1, UNF:6:bH4kFrlM9yIrHzrqeLOJcw== [fileUNF]2020 and 2021 National Surveys of Scientists and Engineers on COVID-19doi:10.7910/DVN/GHOOC2SciOPSHarvard DataverseCaldarulo, MattiaCaldarulo, Mattia2022-03-25Social SciencesThese are random probability sample surveys of academic scientists conducted online in this U.S. in May, 2020 and May 2021 to understand the impacts of COVID-19 on the science community. The surveys were conducted by the Center for Science, Technology and Environmental Policy Studies at Arizona State University. The surveys instrument examined questions regarding how COVID-19 and related policies impact academic research, funding issues related to COVID-19 science communication, and regulation of COVID-19 research. The surveys also collected data on individual background and perceptions of impacts, behavior and expectations due to COVID-19. The population for the survey included non-tenure track, tenured, and tenure-track academic scientists who hold the doctoral degree from three subfields (biology, civil and environmental engineering, and biochemistry) at 20 randomly selected universities classified as Carnegie designated research extensive (R1) universities in the United States. The sample was designed with the following protocol. We identified all R1 Carnegie classified research intensive institutions (131 total) using the most recent Carnegie listings. We then stratified the institutions by eight Carnegie region classifications. Because the eight regions vary in size, a proportionate distribution from each region was randomly selected, ensuring that selected universities within each region represented multiple states. For each selected university, we developed a list of all tenure and tenure track faculty and non-tenure track faculty in biology, civil engineering, environmental engineering, biochemistry and genomics. The final sample was randomly selected from these faculty lists. The completed sample was weighted by gender and academic field to represent the population as closely as possible. A conservative measure of sampling error for questions answered by the full sample is plus or minus 5 percentage points. The surveys were approved by Institutional Review Boards at Arizona State University and at the University of Illinois at Chicago. 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