3C 2.0

Here are projects from the second round of 3Cavaliers 2.0.

Advanced Electrochemical Reactors for Green Chemical and Fuel Production

T. Brent Gunnoe, College and Graduate School of Arts & Sciences

Sen Zhang, College and Graduate School of Arts & Sciences

Tao Sun, School of Engineering and Applied Science

This project will leverage expertise in molecular design, materials and additive manufacturing to develop novel electrochemical reactors for conversion of renewable energy to fuels and chemicals

 

Aluminum-Based Heterocycles as New Optoelectronic Materials

Robert J. Gilliard, College and Graduate School of Arts & Sciences

Gaurav Giri, School of Engineering and Applied Science

Mool C. Gupta, School of Engineering and Applied Science

This project will explore the synthesis and optical properties of aluminum-doped 5-membered ring heterocycles as new materials. The studies will impact next-gen electronics and display technologies.

Animating Alzheimer's Disease

Jack Van Horn, School of Data Science/College and Graduate School of Arts & Sciences

George S. Bloom, College and Graduate School of Arts & Sciences

Ishan C. Williams, School of Nursing

A project to develop, design, and create an original movie, animating the underlying neurobiological origins of Alzheimer's Disease, illustrating the effects of this devastating syndrome on the brain.

Appalachian Music Project

Hannah Wunsch Ryan, UVA's College at Wise

Michael C. Rasbury, College and Graduate School of Arts & Sciences

Peter D. Ryan, UVA's College at Wise 

This project will provide quality, low-cost or free music instruction in SWVA, while creating real-world, research teaching opportunities for UVA Wise music majors and minors.

Applying Machine Learning and Artificial Intelligence to Personnel Selection and Staffing: Efficacy and Ethics

William T. Scherer, School of Engineering and Applied Science

Yael Grushka-Cockayne, Darden School of Business

Jared D. Harris, Darden School of Business

The goal of the study is to use machine learning/AI to quantify more accurate algorithms for scoring interviews, the goal is to develop predictive algorithms for scoring interviews for future success.

Artificial Intelligence (AI) as the new Jeeves? Demographic factors that systematically influence preference for algorithms versus human mentors

Eileen Y. Chou, Frank Batten School of Leadership and Public Policy 

Roshni Raveendhran, Darden School of Business

Jazmin Brown-Iannuzzi, College and Graduate School of Arts & Sciences 

When and why do minorities prefer advice from AI versus human mentors in workplace settings?

Assessing Anxious Thinking Patterns among Patients with Neurodegenerative Movement Disorders

Jessie Gibson, School of Nursing

Bethany A. Teachman, College and Graduate School of Arts & Sciences

Madaline B. Harrison, School of Medicine 

We aim to assess mechanisms (e.g., cognitive biases) contributing to maintenance of anxiety symptoms in persons with neurodegenerative movement disorders, offering insights for symptom management.

Between Rivers: Recipes for Resistance, Resilience, & Resurgence

Ghazal Jafari, School of Architecture

Tessa Farmer, College and Graduate School of Arts & Sciences 

Chris Gratien, College and Graduate School of Arts & Sciences

This project involves community-based mapping in collaboration with local peoples & nomadic tribal nations who live along the cross-border rivers & watersheds of the Middle East & North Africa.

Black Church Musicians and HIV/AIDS, 1980-2005

Ashon Thomas Crawley, College and Graduate School of Arts & Sciences

Meredith D. Clark, College and Graduate School of Arts & Sciences

Claudrena N. Harold, College and Graduate School of Arts & Sciences

This project explores the deep loss of black church musicians to HIV/AIDS between 1980 and 2005, considering the intersection of media representation, religious doctrine and performance practices.

Cavalier Caster Network

Michael Luegering, School of Architecture

Patricia L. Wiberg, College and Graduate School of Arts & Sciences

Brian L. Smith, School of Engineering and Applied Science

Developing an NTRIP Caster System for UVA's field research stations and surrounding regions to lower cost and raise consistency in field research data and instrumentation.

Centering Equity and Resilience in Urban Stream and Watershed Restoration

Teresa B. Culver, School of Engineering and Applied Science

Lawrence Band, College and Graduate School of Arts & Sciences

Bev Wilson, School of Architecture

This project will integrate engineering, environmental, and social equity goals and perspectives to jointly and resiliently improve environmental and social equity conditions in urban regions.

Co-Designing Indigenous Spaces: Xhosa Arts, Architecture and Wellbeing at the Black Power Station

Phoebe Crisman, School of Architecture

Noel James Lobley, College and Graduate School of Arts & Sciences

Rupa S. Valdez, School of Medicine

Co-design with indigenous Xhosa arts activists-academics to create a sustainable public venue promoting inter-generational arts curricula, health equity, and inclusive community thriving.

Collection and Translation: Plants, Buildings, Technologies, and Labor between Southern France and the United States in the Late Eighteenth Century

Jessica Ellen Sewell, School of Architecture

Mary P. Kuhn, College and Graduate School or Arts & Sciences

Melissa Jordan Love, The Fralin Museum of Art

We recover the translation of elements of the cultural landscapes of 18th-century France to the US to explore the nature of the archive and produce a digital repository and museum exhibit.

Compositing Poaceae: Grass Assemblies for Architecture and Construction

Katie MacDonald, School of Architecture

Deborah Lawerence, College and Graduate School of Arts & Sciences

Marek Pindera, School of Engineering and Applied Science

Expanding on the success of the mass timber industry, this project aims to pilot the development of biocomposite building panels made of grass species and bio-based adhesives.

Curiosity out of the classroom: The impact of research experience on undergraduate students

Jamie Jirout, EDU

Elizabeth Opila, School of Engineering and Applied Science

Caitlin D. Wylie, School of Engineering and Applied Science 

This project will study the influence of hands-on, lab-based research experience on undergraduate students' curiosity and motivation, exploring what characteristics of experiences matter the most.

Customer Acquisition via Location Intelligence and Machine Learning

Yixin Sun, School of Engineering and Applied Science 

Natasha Zhang Foutz, McIntire School of Commerce

Shan Yu, College and Graduate School of Arts & Sciences 

The project proposes a new solution to customer acquisition by identifying potential customers through spatio-temporal analytics and trajectory pattern mining using population-scale location data.

Development of an Automated System to Facilitate Coding Skills through Art and Music

Glen L. Bull, School of Education and Human Development 

Luke S. Dahl, College and Graduate School of Arts & Sciences

N. Rich Nguyen, School of Engineering and Applied Science

This initiative will employ machine learning to create an automated feedback system that facilitates development of programming skills through art and music.

Dissecting the origins of heterogeneous cancer cellular interactions and responses to therapeutic perturbation

Heman Shakeri, School of Data Science

Sepideh Dolatshahi, School of Medicine

Mohammad Fallahi Sichani, School of Medicine

We propose to integrate multiplexed single-cell measurements with novel computational methods to identify the dynamics of heterogeneous subpopulations and predict their phenotypic response to drugs.

Does Awe Have a Future? Emotion and Aesthetics in the Sciences and Humanities

Kurtis R. Schaeffer, College and Graduate School of Arts & Sciences

Kelsey E. Johnson, College and Graduate School of Arts & Sciences

Martien A. Halvorson-Taylor, College and Graduate School of Arts & Sciences 

We propose to examine awe and its effects as a component of science and human flourishing in the intersecting contexts of are astrophysics, the history of religion, and place-based learning.

Ecological Construction: bio-based additive manufacturing with distributed robotic systems

Ehsan Baharlou, School of Architecture

Ji Ma, School of Engineering and Applied Science

Tomonari Furukawa, School of Engineering and Applied Science

This research will explore sustainable manufacturing in building industry. The project will investigate Additive Manufacturing of cellulose-based materials using a distributed mobile robotic system.

Edankraal en Route: Reviving an African- American Space of Cultural Exchange in Segregated Lynchburg

Elgin L. Cleckley, School of Architecture

Alison Booth, College and Graduate School of Arts & Sciences

Lisa Reilly, School of Architecture 

An architectural, landscape, and literary digital project to enhance access to and knowledge of the Anne Spencer House and Garden.

Ethics, authenticity, and social identities

Gabrielle S. Adams, Frank Batten School of Leadership and Public Policy

Kisha Lashley, McIntire School of Commerce

Peter Ronald Belmi, Darden School of Business 

Who is "permitted" to bring their authentic self to work? How do calls for authenticity affect ethical behavior?

Exercise, chemotherapy and cardiovascular risk in ovarian cancer

Sid Angadi, EDU

Susan C. Modesitt, School of Medicine

Bethany Horton, School of Medicine

The proposed project will examine the effects of a novel exercise training paradigm during ovarian cancer chemotherapy to reduce or mitigate the adverse cardiovascular effects of chemotherapy.

Exploring critical roadblocks to decarbonization: distributed energy resources and the grid

William M Shobe, Office of the Provost 

Peter Troyan, College and Graduate School of Arts & Sciences

Henning Mortveit, School of Engineering and Applied Sciences

We will explore some of the key impediments to the low-carbon energy transition. A key area of focus must be on planning for grid infrastructure to support distributed and intermittent energy sources.

Feasibility of Symptom Burden Palliation Using a Gentle Activity Intervention in Patients with End-Stage Renal Disease: Pall-Kidney

Jill Howie Esquivel, School of Nursing

Maureen J. Metzger, School of Nursing

Karen Rheuban, School of Medicine

A mixed-methods home-based, telehealth, pilot study to determine feasibility of a physical activity intervention focused on symptom burden palliation in patients with ESRD.

Fluid Futures: Regional Urban Resilience in Hampton Roads

Ali Fard, School of Architecture

Mona El Khafif, School of Architecture

Majid Shafiee-Jood, School of Engineering and Applied Science 

This project aims to catalyze a regional urban design and qualitative decision analysis framework for socio-environmental resiliency in the Hampton Roads region of Virginia.

Food environment as driver for ketogenic diet and possible consequences for kidney health

Sibylle Kranz, School of Education and Human Development

Jenny Roe, School of Architecture

Julia Scialla, School of Medicine

We propose a mixed method study to explore the effect of the food environment on choosing to consume a ketogenic diet and the clinical consequences of eating a ketogenic diet on kidney injury markers

Health Savings Accounts, Liquidity, and Financial Security over the Life-Cycle

Adam Leive, Frank Batten School of Leadership and Public Policy 

Leora Friedberg, College and Graduate School of Arts & Sciences

Eric R. Young, College and Graduate School of Arts & Sciences

This research studies whether Health Savings Accounts may help individuals improve their financial security by building a dynamic optimization model of saving decisions over the life cycle.

Heat Mortality, Mortality Displacement and SARS CoV-2

Robert E. Davis, College and Graduate School of Arts & Sciences

Pamela B. DeGuzman, School of Nursing

Bill Basener, School of Data Science

The timing of SARS CoV-2 and summer, 2020 heat waves provides a rare opportunity to examine heat related mortality, as heat waves and the SARS CoV-2 virus impact similar segments of the population.

Imaging the Invisible: Translations of Environmental Risk into Public Information

Erin Putalik, School of Architecture 

Jeana D'Agostino Ripple, School of Architecture

Sally Ellen Pusede, College and Graduate School of Arts & Sciences

This project collects examples of how toxicity and health risks in the air, water, soil, and building materials have been graphically communicated to the affected publics.

Immunomodulatory and Pro-Angiogenic Porous Scaffold for Large Diameter Wounds

Don Griffin, School of Engineering and Applied Science

Chris Campbell, School of Medicine

Roseanne Ford, School of Engineering and Applied Science

The focus of this project is to interrogate the mechanism and impact of our existing material treatment in large wounds (~100x volume of small animal study) in a clinic relevant large animal model.

Justice, Amplified

Nomi Dave, College and Graduate School of Arts & Sciences

Bonnie Susan Gordon, College and Graduate School of Arts & Sciences

Anne M. Coughlin, School of Law

This project explores voice, activism and gender justice through a series of creative works, applied research & teaching. We connect gender and racial justice to amplify diverse voices & experiences.

Managing non-performance risks for nature-based carbon sequestration

Arthur Small, Office of the Provost

Ellen Marie Bassett, College and Graduate School of Arts & Sciences

Venkataraman Lakshmi, School of Engineering and Applied Science 

Nature-based carbon sequestration involve risks that projects will not generate genuine, permanent emissions offsets. The team will examine options for managing these risks.

Neurobiological correlates for listener perception of compensatory speech errors secondary to cleft palate

Kazlin Mason, School of Education

Toby Grossmann, College and Graduate School of Arts & Sciences 

Rebecca J. Scharf, School of Medicine

The goal of this project is to understand how listeners perceive cleft palate speech errors across varying degrees of intelligibility and the implications this may have for intervention.

Neuro-Genetic Dynamical Systems for Viral Infection (COVID-19) Modeling and Analysis

Hezekiah O Babatunde, School of Engineering and Applied Science

Haiying Shine, UVA's College at Wise

Jan Fiala, UVA's College at Wise

This project entails application of hybrid intelligent system, combining techniques from artificial intelligence and mathematical modeling to study the spread patterns and dynamics of COVID-19 virus.

New Paradigms in Bose-Einstein Condensed (BEC) Quantum Systems

Bellave S. Shivaram, College and Graduate School of Arts & Sciences

Kevin K. Lehmann, College and Graduate School of Arts & Sciences

Peter Schauss, College and Graduate School of Arts & Sciences

Bose Einstein Condensates (BEC) carry all particles in the same quantum state, an effect known for nearly a century. In this project we propose to create and study novel micro and nano hybrid BECs.

Observational Learning and Timing Uncertainty: Evidences from Dynamic Book Building in IPOs

Gaurab Aryal, College and Graduate School of Arts & Sciences

Christopher A. Yung, McIntire School of Commerce

Zhaohui Chen, McIntire School of Commerce

We study timing decisions of firms to file for IPOs, and of institutional investors’ to participate in such IPOs. We model this "book-building" process as a dynamic game with asymmetric information.

Personalizing breast cancer treatment using predictors from imaging and molecular data

Nathan Sheffield, School of Medicine

Gustavo Kunde Rohde, School of Engineering and Applied Science

Matthew M. Miller, School of Medicine

We seek to develop novel predictors of breast cancer outcomes using new imaging technology and molecular data

Phase field modeling of metal-insulator transition dynamics in correlated electron materials

Gia-Wei Chern, College and Graduate School of Arts & Sciences 

Sergei Egorov, College and Graduate School of Arts & Sciences

Chris Paolucci, School of Engineering and Applied Science

We aim at developing phase field models for metal-insulator transitions in several canonical Mott insulators, and implementing state-of-the-art methods to solve the coupled dynamical equations.

Project on Democracy and Capitalism

Robert F. Bruner, Darden School of Business

Sidney Milkis, College and Graduate School of Arts & Sciences

Melody Barnes, Office of the President

This project will explore the institutional intersection between democracy and capitalism. Our aim is to produce new curricula, faculty workshops, and policy research and proposals.

Promoting Language Learning in Maya Youth: A Digital Variorum of the Popol Wuj in K'iche' and Yukatek

Allison M. Bigelow, College and Graduate School of Arts & Sciences

Lucie W. Stylianopoulos, Library

Rafael C Alvarado, School of Data Science

This project builds digital texts in endangered languages to promote language learning and cultural connection among Maya youth in Mexico, Guatemala, and the US.

Race in the STEM Curriculum? Exploring the Educational Impact of Science and Engineering Courses Integrating Issues of Racial Inequality

Juan C. Garibay, School of Data Science 

Rosalyn W. Berne, School of Engineering and Applied Science

Lindsay Wheeler, Office of the Provost

The project explores how S&E courses integrating racial issues in the curricular content impact students’ S&E identities, racial attitudinal development, career interest, and educational experiences.

School Policy and Adolescent Mental Health over the COVID-19 Pandemic

Tara Hofkens, School of Education and Human Development 

Richard Stevenson, School of Medicine

Brian Wright, School of Data Science

We will partner with Albemarle County Public Schools to examine how remote schooling relates to income-based disparities in mental health treatment among adolescents throughout the COVID-19 pandemic.

Seeing and Mapping Black Charlottesville, 1902-1930

John Edwin Mason, College and Graduate School of Arts & Sciences

Jalane Dawn Schmidt, College and Graduate School of Arts & Sciences

Louis Nelson, School of Architecture and Office of the Provost

This project explores and maps the family, social, and economic relationships between a cohort of 600 African Americans and their Black and White fellow citizens, at the height of the Jim Crow era.

Seeing the City: Measuring Engagement with the Public and Private Realms during Travel

Andrew Mondschein, School of Architecture

Luca Cian, Darden School of Business 

Tong Donna Chen, School of Engineering and Applied Science

Urban environments are comprised of arrays of stimuli that people sense, process, and react to. Using mobile eye tracking, this study investigates how people engage with visual stimuli during travel.

Simulation-Informed Engineering of Polymer Surface Solvation for Water Desalination

Kateri Hayashi DuBay, College and Graduate School of Arts & Sciences

Geoff Geise, School of Engineering and Applied Science

Rachel A. Letteri, School of Engineering and Applied Science

An integrated computational, synthetic, and characterization approach to designing polymer membrane surfaces with desired solvation properties for applications in advanced water desalination.

Small molecule inhibitors of the KIX domain of EP300 - a targeted approach to small cell lung cancer

Kwon-Sik Park, School of Medicine

Matthew J. Lazzara, School of Engineering and Applied Science

John H. Bushweller, School of Medicine 

We propose to develop small molecules inhibitors of the pro-tumorigenic actions of EP300 KIX domain and assess them for potential targeted therapeutics for lung cancer.

Susceptibility to COVID-19 misinformation

Hudson Fernandes Golino, College and Graduate School of Arts & Sciences

Malinda Whitlow, School of Nursing

Reza Mousavi, McIntire School of Commerce

The current project will combine psychology and data science to investigate if and how psychological traits and political identity can be used to predict susceptibility to COVID-19 misinformation.

The Financial and Psychological Relief of Insolvency

Sheisha Kulkarni, McIntire School of Commerce

Zachary Clint Irving, College and Graduate School of Arts & Sciences 

David Carl Smith, McIntire School of Commerce

We hope to provide debtors with low-cost insolvency options and assess how the price of these options relates to mental health and well-being around financial security.

The Truth About Fasting Before Surgery: How Honest Are Patients About Their NPO Status

John McNeil, School of Medicine

Jamie DeCoster, EDU

Darrin Clouse, School of Medicine

Fasting before surgery is important, yet no one has studied how truthful patients are about their NPO status. We will use a randomized response technique to assess honesty while maintaining privacy.

Training the Next Generation of Scientists: Developing a Model of K-6 Science Teacher Preparation in a COVID-19 Era

Andy Cox, UVA's College at Wise 

Frackson Mumba, School of Education and Human Development

Josephine J. Rodriguez, UVA's College at Wise

COVID-19 has disrupted science instruction in schools. We propose to design, implement, and study virtual K-6 science instruction model to improve teacher training, instruction, and student learning.

Understanding Causality in Complex Systems via Network Guided Causal Inference

Jundong Li, School of Engineering and Applied Science

Tianxi Li, College and Graduate School of Arts & Sciences

Haifeng Xu, School of Engineering and Applied Science

This project will develop a novel network guided causal inference framework to uncover causal relations among entities in complex systems, with applications to various physical and human-made systems.

Unearthing the Public's History Through Discovery and Data Science--Finding Virginia's Freetowns

Suzanne Morse Moomaw, School of Architecure

Lis Goff, College and Graduate School of Arts & Sciences

Sarah Wells, Office of the Provost

This project documents 50 vanished Black “ freedom communities” through data, digital visualizations, archival research, and oral histories to create public-facing access tools for the communities.

Untangling the Pathophysiology of Cerebral Cavernous Malformations

Petr Tvrdik, School of Medicine

Brian P. Helmke, School of Engineering and Applied Science

Swapnil K Sonkusare, School of Medicine 

We will study calcium signaling in endothelial cells derived from cerebral cavernous malformations under various shear stress conditions to instigate the development of new therapeutic strategies.

Using Machine Learning to Provide Automated Feedback on Teacher-Student and Student-Student Interaction Patterns

Tariq Iqbal, School of Engineering and Applied Science

Jessica E. Whittaker, School of Education and Human Development 

Raymond S Pettit, School of Engineering and Applied Science

This project will develop a novel machine learning-based system that provides real-time, automated feedback to teachers on the interaction patterns in their classroom to inform instructions.

Using Technology to Address Domestic Violence in Developing World

Sheetal Sekhri, College and Graduate School of Arts & Sciences

Sarah Jane Ratcliffe, School of Medicine

Gaurav Chiplunkar, Darden School of Business

Domestic Violence (DV) is a global public health epidemic, with high physical, emotional, and economic costs. This project will develop, deploy, and test mobile-based applications to address DV.

Variable Sawmilling: Multi-Axis Actuated Strategies for Non-standard Timber

Kyle Schumann, School of Architecture

Manual T. Lerdau, College and Graduate School of Arts & Sciences

Gavin T. Garner, School of Engineering and Applied Science

This project will develop techniques for milling raw logs into specialized non-standard components. A custom CNC sawmill will be designed, constructed, and applied to demonstrate its capabilities.