In collaboration with the U.S. Department of Energy's Argonne National Laboratory, AT&T is inviting public and private colleges and universities to submit an application for participation in a Climate Resiliency Community Challenge, which is designed to help local communities better predict, prepare for and adapt to the changing climate. In this challenge, universities will work with local governments to conduct a risk-based climate analysis using data from Argonne National Laboratory and shared by AT&T to address a problem that affects the Southeast Region. This includes areas such as infrastructure, public health, emergency management, or similar field related to community resilience. Participating universities will prepare and share a report of their findings, including proposals for potential solutions for action, with the community and online. AT&T will provide participating universities with leading climate data from Argonne National Laboratory and up to $50,000 in funding to support the research projects. One team from each state in the Southeast Region (Florida, Georgia, South Carolina and North Carolina) will be selected by an independent panel of non-profit climate and resiliency experts. Teams are encouraged to be creative in using Argonne National Laboratory's leading climate data and may leverage and integrate supporting data and technology available through the university and local government. Organizations interested in participating in the Climate Resiliency Community Challenge are invited to download, complete and submit an application. The deadline for submissions is September 30, 2019.

The proposed Florida Climate Assessment will:

We want to know your thoughts on the proposed Florida Climate Assessment and its potential value to your work and to the state of Florida. Email us and please include your name, contact information, affiliation, and position.

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Agar,, Shivlani,, Fleming,, & Solís,. (2019). Small-scale fishers' perceptions about the performance of seasonal closures in the commonwealth of Puerto Rico. Ocean & Coastal Management, 175, 33-42.

Alvarez, S., Lupi, F., Solís, D., & Thomas, M. (2019). Valuing Provision Scenarios of Coastal Ecosystem Services: The Case of Boat Ramp Closures Due to Harmful Algae Blooms in Florida. Water, 11(6), 1250.

Alvarez, S., Solís, D., & Hwang, J. (2019). Modeling shellfish harvest policies for food safety: Wild oyster harvest restrictions to prevent foodborne Vibrio vulnificus. Food Policy, 83, 219-230.

Bladow, R. A., & Milton, S. L. (2019). Embryonic mortality in green (Chelonia mydas) and loggerhead (Caretta caretta) sea turtle nests increases with cumulative exposure to elevated temperatures. Journal of Experimental Marine Biology and Ecology, 518.

Fill, J. M., Fill JM, Davis, C. N., Davis CN, Crandall, R. M., & Crandall RM. (2019). Climate change lengthens southeastern USA lightning-ignited fire seasons. Glob Chang Biol.

Jung, J., Jung J, Uejio, C. K., Uejio CK, Duclos, C., Duclos C, et al. (2019). Using web data to improve surveillance for heat sensitive health outcomes. Environ Health, 18, 59.

Rypkema, D. C., Rypkema DC, Horvitz, C. C., Horvitz CC, Tuljapurkar, S., & Tuljapurkar S. (2019). How climate affects extreme events and hence ecological population models. Ecology, 100(6), e02684.

Smith, S. R., Alory, G., Andersson, A., Asher, W., Baker, A., Berry, D. I., et al. (2019). Ship-Based Contributions to Global Ocean, Weather, and Climate Observing Systems. Front. Mar. Sci., 6, 434.

Stephens, S. H., & DeLorme, D. E. (2019). A Framework for User Agency during Development of Interactive Risk Visualization Tools. Technical Communication Quarterly, 28(4).