Population & Community Ecology part of CUREnet:CURE Collection
Cascade Sorte, University of California-Irvine
Students in a Population and Community Ecology class participate in coastal marine research focused on understanding factors determining population sizes and community interactions, particularly in the context of species that appear to be shifting their ranges with climate change. Students participate in all aspects of the research from making observations and collecting data in the field to defining questions, stating hypothesis, designing and completing statistical analysis, and interpreting and presenting results. The outcomes are a research proposal, research paper, and poster presentation. All are intended to be at a level appropriate for use as a writing sample or presentation at undergraduate conferences. Results are incorporated into the ongoing research project led by the course instructor and graduate student teaching assistant.

Community Flood Risk Assessment from Rising/Surging Seas Project part of CUREnet:Institutes:Other Institutes (2019-2020):Examples
Kevin Kupietz, Elizabeth City State University
Globally 634 million people, 10% of the world's population, live in coastal areas less than 10 meters above sea level. According to 2010 census data, 123 million people, 39% of the United States population, live in coastal counties with an estimated increase to this number by 8% in the 2020 census. As natural disasters have been seen to increase in frequency and severity in the past five years coupled with expected sea rises from climate change it is important that anyone involved with the safety and resiliency planning of their organization/community have an understanding of how to scientifically assess risk from flooding in order to mitigate and recover from the effects. This project allows students the ability to develop skills to utilize computer modeling systems and to apply the data to real world communities in examining risk to structures as well as different groups in the community.

Analyzing datasets in ecology and evolution to teach the nature and process of science part of CUREnet:CURE Collection
Rebecca Price, University of Washington-Tacoma Campus
This quarter-long project forms the basis of a third-year course for majors and nonmajors at the University of Washington, Bothell called Science Methods and Practice. Students use databases to identify novel research questions, and extract data to test their hypotheses. They frame the question with primary literature, address the questions with inferential statistics, and discuss the results with more primary literature. The product is a scientific paper; each step of the process is scaffolded and evaluated. Given time limitations, we avoid devoting time to data collection; instead, we sharpen students' ability to make sense of a large body of quantitative data, a situation they may rarely have encountered. We treat statistics with a strictly conceptual, pragmatic, and abbreviated approach; i.e., we ask students to know which basic test to choose to assess a linear relationship vs. a difference between two means. We stress the need for a normal distribution in order to use these tests, and how to interpret the results; we leave the rest for stats courses, and we do not teach the mathematics. This approach proves beneficial even to those who have already had a statistics course, because it is often the first time they make decisions about applying statistics to their own research questions. We incorporate peer review and collaborative work throughout the quarter. We form collaborative groups around the research questions they ask, enabling them to share primary literature they find, and preparing them well to review each other's writing. We encourage them to cite each other's work. They write formal peer reviews of each other's papers, and they submit their final paper with a letter-to-the-editor highlighting how their research has addressed previous feedback. A major advantage of this course is that an instructor can easily modify it to suit any area of expertise. Students have worked with data about how a snail's morphology changes in response to its environment (Price, 2012), how students understand genetic drift (Price et al. 2014), maximum body size in the fossil record (Payne et al. 2008), range shifts (Ettinger et al. 2011), and urban crop pollination (Waters and Clifford 2014).

Genome Solver: Microbial Comparative Genomics part of CUREnet:CURE Collection
Gaurav Arora, Gallaudet University
Genome Solver began in 2011 as way to teach Bioinformatics tools to undergraduate faculty. As part of the Genome Solver project as a whole, we developed a Community Science Project (CSP) for faculty and students to join. The CSP explores horizontal gene transfer (HGT) between bacteria and the phages that infect them. Students get involved in this project and develop testable hypotheses about the role HGT between bacteria and phages play in microbial evolution. Our own work has demonstrated that undergraduates can produce publishable data using this approach. We invite faculty and their students to participate in the search for additional evidence of this type of HGT by investigating the vast wealth of phage and bacterial sequences currently in databases. All that is needed is a computer, an Internet connection, and enthusiasm for research. Faculty and students can work on an organism of interest or we can help them pick organisms to explore these phenomena. By pooling all of the information from a variety of small projects under the umbrella of the Genome Solver CSP, we will be able to better understand the role of HGT in bacterial evolution.