Template and Instructions for Ocean Waves Workshop Posters Jeanne Pavy 1), C. Reid Nichols 2)*, and Craig Jones3)  1) Earl K. Long Library, University of New Orleans, New Orleans, LA 2) Marine Information Resources Corporation, Ellicott City, MD 3) Integral Consulting Inc., 200 Washington St. Suite 101, Santa Cruz, CA *Corresponding author: oceanwaves@uno.edu Introduction Conclusions Results To the extent possible, try to show where your work will enhance understanding of the fundamental processes underlying waves and their impacts on your operations. Of particular importance is the sharing of information on the impacts of waves on structures or operations, new wave measuring technologies such as drifting buoys, and capabilities to model and forecast waves. The workshop is designed to help improve the attendees understanding of the effects of waves, especially extreme waves, while facilitating collaboration that includes the sharing of new tools to enhance societal preparedness and resilience against wave forces. Summarize the major result (e.g., Coastal Resilience requires the integration of engineering, environmental, and community resilience. Resilience assessments require data, tools, and guidance from physical and social scientists.”) and briefly state the extent to which your hypothesis was supported. State the relevance of your findings to other published work and future directions. [approximately 200 words] Describe your findings (e.g., “This study finds that resilience enables coastal zone managers to evaluate their exposure to specific shocks and stresses, to develop a proactive and integrated plan to address those challenges, and to respond to them more effectively. “); in same paragraph, briefly describe qualitative and quantitative results (e.g., “Resilience allows coastal zone managers to evaluate exposures to sea level rise and storms, to develop a proactive and integrated plan to address those challenges, and to respond to them more effectively.”). In a second paragraph, begin presentation of data analysis or model results that more specifically addresses your hypothesis; refer to supporting charts or images; provide engaging figure captions that could stand on their own; and descriptive tables with captions. Remember the adage "A picture is worth a thousand words." Help the reader to absorb large amounts of data quickly. This should be the largest section [approximately 200 words, not counting figure captions]. A community informed about coastal resilience issues will be better prepared while having an increased ability to rebound quickly from severe weather, extreme waves, and climate-related events, including adapting to sea level rise. The ability to rebound more quickly can reduce negative human health, environmental, and economic impacts. Figure 1. Waves crashing against a house at Stinson Beach near Bolinas, California. Stinson Beach contains a high percentage of vulnerable properties that are exposed to sea level rise and storms. (Credit U.S. Geological Survey) Please consider using a photograph or illustration that communicates some aspect of your resilience research and findings. [approximately 200 words] References Haidvogel, D. B., E. Turner, E. N. Curchister, and E. E. Hoffmann. 2013. Looking Forward: Transdisciplinary Environmental Forecasting and Management. Oceanography. 26(4), pp.128-135. National Academies. 2012. Disaster Resilience: A National Imperative. Washington, D.C., The National Academies Press. National Research Council, 2014b. Convergence: Facilitating Transdisciplinary Integration of Life Sciences, Physical Sciences, Engineering, and Beyond. Washington, DC, The National Academies Press Stockholm Resilience Centre, Stockholm University, “What is resilience?” Available online. URL: http://bit.ly/1Ts0itr. Accessed on June 14, 2017. Wright, L. Donelson, C. Reid Nichols, Arthur G. Cosby, Christopher F. D'Elia. 2016, Collaboration to Enhance Coastal Resilience, Eos, Transactions American Geophysical Union. Vol. 97, Available online. URL: http://bit.ly/2bwBwrU. Accessed June 14, 2017. Methods Table 1. Key resilience definitions that have been developed through collaborative efforts. National Academy of Sciences “Resilience is the ability to prepare and plan for, absorb, recover from, and more successfully adapt to adverse events.” Stockholm Resilience Centre “Resilience is the capacity of a system, be it an individual, a forest, a city or an economy, to deal with change and continue to develop.” Briefly describe any data collection techniques and analysis procedures. Please use figures and flow charts to illustrate experimental design. If possible include photographs or schematics and mention statistical analyses that were used to prove or disprove your hypothesis. Be sure to cite figures and tables in order of appearance [approximately 200 words]. Prepare Anticipate Recover Bounce Back Adapt Evolve Resist Withstand Disturbance Figure 3. Concepts of coastal resilience, August 26, 2014. (Credit: Julie Dean Rosati, PhD, PE, D.CE). Figure 2. Concepts of Coastal Resilience (Credit U.S. Army Corps of Engineers) Further information University of New Orleans, Marine Information Resources Corporation, and Integral Consulting are hosting this fourth Ocean Waves Workshop. The Ocean Waves Workshop provides an opportunity to showcase innovation and to support transition of research results to operations. For more information on the Ocean Waves Workshop series see http://scholarworks.uno.edu/oceanwaves/. Acknowledgments There are also numerous other online templates to consider (e.g., http://colinpurrington.com/tips/poster-design, http://gradschool.unc.edu/academics/resources/postertips.html, or http://www.makesigns.com/SciPosters_Templates.aspx). In addition to thanking funders and close colleagues, consider highlighting the trans-disciplinary nature of your work.