CURE Examples
Discipline
Core Competencies
- Asking questions (for science) and defining problems (for engineering) 10 matches
- Developing and using models 6 matches
- Planning and carrying out investigations 7 matches
- Analyzing and interpreting data 11 matches
- Using mathematics and computational thinking 5 matches
- Constructing explanations (for science) and designing solutions (for engineering) 6 matches
Nature of Research Show all
Applied Research
11 matchesState
Target Audience Show all
Non-major
11 matches
Nature of ResearchResults 1 - 10 of 11 matches
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.
Core Competencies: Using mathematics and computational thinking, Constructing explanations (for science) and designing solutions (for engineering), Analyzing and interpreting data, Planning and carrying out investigations, Asking questions (for science) and defining problems (for engineering), Developing and using models
Nature of Research: Wet Lab/Bench Research, Basic Research, Applied Research
Target Audience: Upper Division, Non-major, Major, Introductory
CURE Duration: A full term, Multiple terms
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.
Core Competencies: Developing and using models, Asking questions (for science) and defining problems (for engineering), Planning and carrying out investigations, Using mathematics and computational thinking, Constructing explanations (for science) and designing solutions (for engineering), Analyzing and interpreting data
Nature of Research: Applied Research
State: North Carolina
Target Audience: Major, Non-major, Upper Division
CURE Duration: A full term
Water in Gen Chem
Ruthanne Paradise, University of Massachusetts-Amherst
Core Competencies: Asking questions (for science) and defining problems (for engineering), Planning and carrying out investigations, Analyzing and interpreting data
Nature of Research: Applied Research
State: Massachusetts
Target Audience: Introductory, Non-major, Major
CURE Duration: A full term
Using R to Build Powerful Predictive Models for Kaggle Competitions
Earvin Balderama, California State University-Fresno
Core Competencies: Using mathematics and computational thinking, Analyzing and interpreting data, Developing and using models
Nature of Research: Informatics/Computational Research, Applied Research
State: California
Target Audience: Non-major, Major, Upper Division
CURE Duration: A full term
Emerging Contaminants in Arizona
Frank Marfai, Phoenix College
Core Competencies: Constructing explanations (for science) and designing solutions (for engineering), Asking questions (for science) and defining problems (for engineering), Analyzing and interpreting data, Using mathematics and computational thinking, Developing and using models
Nature of Research: Basic Research, Applied Research
State: Arizona
Target Audience: Introductory, Upper Division, Non-major, Major
CURE Duration: Multiple terms, A full term
Polymer/Materials Structure-Property Relationship Investigations for General Chemistry Students
Zuleikha Kurji, Saint Marys College of California
Core Competencies: Analyzing and interpreting data, Constructing explanations (for science) and designing solutions (for engineering), Planning and carrying out investigations, Asking questions (for science) and defining problems (for engineering)
Nature of Research: Wet Lab/Bench Research, Applied Research
State: California
Target Audience: Introductory, Non-major, Major
CURE Duration: A few class periods, Half a term
Spatial Distribution of Food Resources in the Phoenix Metro Area.
Elena Ortiz, Phoenix College
The main research question/ driving question is: How are food resources distributed across the urban landscape? Students will explore previous work on food deserts in the Phoenix Metro area, use census data, USDA data, collect and compile data on the local food system, create data visualizations and maps, and determine future data needs. Students will also determine stakeholders and community members that could act on the results of their findings and identify appropriate ways to communicate their research to those audiences.
Core Competencies: Asking questions (for science) and defining problems (for engineering), Analyzing and interpreting data
Nature of Research: Applied Research
State: Arizona
Target Audience: Non-major
CURE Duration: Multiple terms, Half a term
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!
Core Competencies: Analyzing and interpreting data, Using mathematics and computational thinking, Planning and carrying out investigations, Asking questions (for science) and defining problems (for engineering)
Nature of Research: Applied Research, Informatics/Computational Research
State: California
Target Audience: Introductory, Major, Non-major
CURE Duration: A full term
Synthesis and Characterization of Ionic liquid and Ionic Solid Hydrates
Allan Cardenas, SUNY College at Fredonia
CHEM 481 is an advanced synthesis course focuses from synthetic design up to the full characterization of products including optimization. Students enrolled in this class are usually juniors and seniors who already taken organic and analytical laboratory classes. This CURE course will give student to design and perform the synthesis of novel ionic liquid; perform a full spectroscopic analysis of the products; optimize and scale up chemical reactions; provide molecular modifications if needed. This CURE train students to use chemical analysis instruments and introduce them to other capabilities of an instrument which is not usually discussed in regular undergraduate courses.
Core Competencies: Analyzing and interpreting data, Constructing explanations (for science) and designing solutions (for engineering), Planning and carrying out investigations, Developing and using models, Asking questions (for science) and defining problems (for engineering)
Nature of Research: Applied Research, Basic Research
State: New York
Target Audience: Upper Division, Major, Non-major
CURE Duration: A full term
Extraction of Lycopene and other Antioxidants from Tomatoes
Marion Franks, North Carolina A & T State University
This CURE is focused on exposing undergraduate students to the use of chemical instrumentation to observe the composition of antioxidants in natural products. Students will learn how to read scientific literature, develop a hypothesis, plan research, interpret data, and relate the data to ongoing phenomenon.
Core Competencies: Developing and using models, Planning and carrying out investigations, Analyzing and interpreting data, Asking questions (for science) and defining problems (for engineering)
Nature of Research: Applied Research
Target Audience: Non-major, Major, Upper Division
CURE Duration: Half a term