Synthesis of the Intermediate of a Catalytic Reaction: An NHC-Stabilized, First-Row Transition Metal Complex
Meng Zhou, Lawrence Technological University
The advanced synthesis laboratory course object allows students to study the synthesis, purification, and characterizations of a new diamagnetic organometallic complex of a first-row transition metal. The air-stable complex is stabilized by an N-heterocyclic carbene spectator ligand. It also bears an actor ligand and therefore, is potentially a reactive intermediate of a catalytic reaction. The synthesis of a reactive intermediate is the key to elucidate the mechanism of catalysis. The instructor chooses the first-row transition metal and the actor ligand based on his or her interests. The CURE starts from an NHC-ligated complex that does not bear this actor ligand but is otherwise similar. In our CURE, an anion ligand-replacement reaction was used to install the actor ligand, but an instructor may choose other approaches. The students will evaluate their results by standard spectroscopic analyses using UV-vis, FT-IR, and proton NMR (60 MHz or above) analysis.

Community Flood Risk Assessment from Rising/Surging Seas Project
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.

Laser spectroscopy of atmospherically relevant molecules and clusters in helium nanodroplets
Paul Raston, James Madison University
Superfluid helium nanodroplets present an ideal medium for the study of chemical dynamics at the molecular level. Their low temperature, enormous heat conductivity, and weakly interacting nature allow for the investigation of various things, such as how molecular rotation is effected by a solvent, and how molecules interact with each other. These two topics will be addressed in the lab by (1) measuring the spectra of unexplored molecules in helium nanodroplets and determining their rotational constants; this data will then be used to test known models describing the interaction between the molecule and helium solvent, and (2) synthesizing and characterizing unexplored molecular clusters in an effort to better understand molecular solvation; students will solvate the "unexplored molecule" with an atmospherically relevant species (O2, N2, H2O), and investigate the resulting clusters with laser Stark spectroscopy.

Design2Data
Ashley Vater, University of California-Davis
The D2D program is centered around an undergraduate-friendly protocol workflow that follows the design-build-test-learn engineering framework. This protocol has served as the scaffold for a successful undergraduate training program and has been further developed into courses that range from a 10-week freshman seminar to a year-long, upper-division molecular biology course. The overarching research goal of this CURE probes the current predictive limitations of protein-modeling software by functionally characterizing single amino acid mutants in a robust model system. The most interesting outcomes of this project are dependent on large datasets, and, as such, the project is optimal for multi-institutional collaborations.

Race & Incarceration in The USA Overtime: Analysis of Trends & Forecast
Shyamal Das, Elizabeth City State University
The course in Race and Ethnic Relations examines the evolving nature of America's social and cultural diversity in terms of different race and ethnic groups (Whites, Blacks, Hispanics, Asian-Americans, and American-Indians), and the issues of racial prejudice, hatred, and discrimination in the country. In so doing, students complete the final paper based on research on the relationship between race and incarceration. The research utilizes arrest data from the Bureau of Justice Statistics website. Students derive the research questions and corresponding hypotheses based on their review of literature. Based on their data analysis, they attempt to explain or interpret the arrest data on the relationship between race and the arrest rates by types of crimes. There two steps: (1) individuals complete data gathering and analysis as well as interpretation in the first place; and (2) groups will be formed by at least three students in each. The groups will prepare the final group paper and present the findings in the class. The current assignment illustrates on the Step 1 of the final project. Each student will select an assigned crime type (see the Assignment Topics) from the Bureau of Justice Statistics database, and run the graphs to show the trends by race. Assess whether students can explain the arrest rates by race. Then each student runs another analysis to forecast the arrest rates for the coming ten to fifteen years. The final group outcomes will be presented in the class. The proposed CURE incorporates a STEM component into social science as students run forecasting models for an important social problem in the USA.

Proton Conduction Studies of Pyridyl Diimide-Based Metal-Organic Frameworks
Pius Adelani, St. Marys University

Investigating local climate change impacts in a STEM first year learning community
Mara Brady, California State University-Fresno
still in progress...

Effects of Antimalarial Drugs (Artemisinin class) on Prostate Cancer Cells.
Dolapo Adedeji, Elizabeth City State University
Prostate cancer is the second leading cause of cancer-related deaths in American men and the most non-skin cancer. It is a low-growing tumor occurring in older men and the most common type of non-skin cancer. Students will gain understanding in mammalian cell culturing, cell growth maintenance, cell seeding and be able to determine the concentration at which each drug concentration inhibit cell proliferation.

Beyond the acronym: Employing data science to improve engagement in STEM
Pamela Reynolds, University of California-Davis
Forbes magazine ranked UC Davis as the "best value college for women in STEM." Let's investigate why, together! In this hands-on Course-based Undergraduate Research Experience (CURE), you will leverage computational tools and methodologies to explore, analyze and design solutions to maximize discoverability and engagement with STEM offerings right here at UC Davis. Community-based tools like the UC Davis STEM portal help students and members of the broader community discover and connect with opportunities in science, technology, engineering and math. How do we define STEM, and how do people interface with the diversity of offerings at our university? Through this seminar you will learn about web scraping, text mining, natural language processing, and user interface design as you work on projects to optimize search functionality and increase content management automation for the Portal, which serves as a single point of entry for catalogued information related to STEM initiatives, clubs, programs and events on campus. This research will be used to improve the discoverability and accessibility of our university's resources, and identify new opportunities for multidisciplinary research and engagement with STEM. The data we collect and workflows designed in this class will contribute to research in the digital humanities and philosophy of science regarding the shape of the discourse surrounding STEM in academia. It will also have a direct application in helping our students and broader community discover new resources and opportunities. Students will be required to work both individually and collaboratively in groups, and to share their learning with each other. This class is open to first-year freshman and transfer students from all majors. You do not need to be a computer scientist to be successful in this course, but you should be comfortable using a computer and have prior exposure to programming (R, Python, etc.). Your instructor team is looking forward to supporting your learning and engagement with research in this class!

CURE: Overcoming seed dormancy in Cleome, a potential C4 model plant
Margaret Young, Elizabeth City State University