Barrett Small Network Hero

Data Analytics and Mathematics

Explore the various projects below categorized under the general theme of Data Analytics and Mathematics. Be sure to return to the Barrett College Fellows Program main page and explore projects under the other 11 themes as well. You might be surprised at what you find and maybe you will discover the perfect research project for what you hope to study!

Please do not contact the research centers or faculty listed below directly (a formal application process is a required step to joining these research opportunities).

For questions about the Barrett College Fellows Program or specific research projects, please contact Dr. Sarah Graff at: [email protected].

Back to Barrett College Fellows main page

Research projects

Project # 144

Center name: DREAMS Lab
Campus/Location: Tempe; Fully remote
Faculty lead: Mengya Xia

Project description

Our work focuses on understanding ways to promote individual positive development and optimal well-being in the family context, interpersonal settings, and broader ecological systems from the person-centered and transactional dynamic approaches, with an emphasis on fostering adolescent relationship health, social-emotional development, competence and character strengths, and flourishing as a whole.

Specifically, we are running a research study about adolescent (age 12-17) social connection and well-being. This project is funded by the National Institute of Child Health and Human Development (NICHD) and led by Dr. Mengya Xia. We aim to disentangle the multi-faceted constructs of social connection and well-being, as well as their associations, using multiple assessments across contexts. The ultimate goal of our research is to inform prevention/intervention to promote child and adolescent health and well-being in real life. For more information about our projects, please visit https://mengyaxia.wixsite.com/dreamslab/research. We are willing to accept 2-3 students for this project!

Special skills needed

-Detail-oriented and organized 
-Interpersonal and communication skills
-Experience in computer skills, including data analysis softwares (R, SPSS, etc.)
-Experience working with adolescents and parents in school settings  -Psychology (specifically developmental, social, and positive)

Majors

-Psychology (specifically developmental, social, and positive)
-Education
-Social and Behavioral Sciences

Years

ASU Online Barrett Honors Students (fully remote work); First Year Students (new to ASU Fall 2025); 2nd Year Students

Themes

Cross-listed with the following themes:

Data Analytics and Mathematics, Health and Wellness, Social and Behavioral Sciences

Project # 147

Center name: School of Mathematics and Statistical Sciences (SoMSS)
Campus/Location: Tempe; Flexible to remote and/or in-person
Faculty lead: Heyrim Cho

Project description

In many cancers, cellular heterogeneity plays a significant role in resistance to treatment and tumor recurrence. Thus, it is crucial to gain a better understanding of how a tumor’s growth dynamics and its response to treatment influence – and are influenced by – cellular heterogeneity and the interactions between different cell populations, in order to make more accurate predictions about treatment responses. In this project, we will develop and compare different experimental designs and data collection protocols to accurately infer and predict tumor interaction types and radiotherapy responses.

Special skills needed

ODE/Differential equation, Matlab coding, some concepts in probability and statistics Applied Math, Computational biology

Majors

Applied Math, Computational biology

Years

-2nd Year Students
-3rd Year Students
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics

Project # 150

Center name: Swetty Center for Environmental Biotechnology
Campus/Location: Tempe
Faculty lead: Hinsby Cadillo-Quiroz

Project description

We are looking for a student with the ability to work with geospatial information. The student will work with geolocation information of palms and trees in permanent plots in a peatland in the Peruvian Amazon, collected from RTK (Real-time kinematic positioning) GNSS receivers (Emlid REACH 3 and REACH 2+). The positioning data will be used as a method of validation of a previous survey carried out by drones. The person in charge is expected to be able to learn post-processing of field information, and subsequently generate some classification models related to other biological and environmental variables.

Special skills needed

Have taken courses related to remote sensing, GIS, and knowing how projections work. - Knowledge of GPS principles. - Knowledge of a GIS environment (ArcGIS Pro, ArcMap, QGIS). - Have taken courses in statistics and data analysis involving classification methods. Know the principles of how to train and validate a model. - Be proficient in Python or R, or some programming language with which they can generate replicable classification models. computer science, spatial sciences, geology, biology, conservation majors

Majors

computer science, spatial sciences, geology, biology, conservation majors

Years

-ASU Online Barrett Honors Students (fully remote work)
-4th Year Students- Seniors
-3rd Year Students
-2nd Year Students

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Sustainability

Project # 151

Center name: Biodesign Swette Center for Environmental Biotechnology
Campus/Location: Tempe
Faculty lead: Hinsby Cdaillo-Quiroz

Project description

This is a microbiology and engineering project in which, along with a PhD student, we test various combinations of microbial cultures to optimize the growth and activity of methanotrophic and heterotrophic bacteria. Fundamentally, this experiment will be built on physiological and genomic data, testing whether metabolic interactions can complement and provide mixed growth, alleviating the limitations of low methane levels through heterotrophs' co-metabolism.

This is a computationally assisted (engineering) and bench-driven (microbiology) project, in which complementary interactions will enable testing hundreds of permutations of microbial strains.

Special skills needed

Students who have completed Mic 220 and 205, or MIC 300 level classes, will be considered for students focusing on the Microbiology component; students who have completed Process or Bioreactor engineering classes (or equivalent) will be considered. Experience in microbiology labs, Arduino systems, or bioreactor systems will be highly considered.

Majors

Microbiology, Environmental Engineering, Chemical Engineering

Years

-3rd Year Students
-4th Year Students- Seniors
-2nd Year Students

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Engineering

Project # 152

Center name: STEMMA, University of Galway
Campus/Location: Fully remote; Flexible to remote and/or in-person
Faculty lead: Erin McCarthy

Project description

STEMMA is an interdisciplinary project that develops and applies a data-driven approach in order to provide the first macro-level view of the circulation of early modern English poetry in manuscript. It focuses on English verse manuscripts written and used between the introduction of printing in England in 1475 and 1700, by which time the rapid changes in both literary taste and publishing norms ushered in by the Restoration had fully transformed literary culture. The project includes manuscripts circulating in England and anywhere else English was spoken and read, including Ireland, the North American colonies, and continental exile communities.

We are seeking motivated and enthusiastic honors student researchers to join the STEMMA project team. As part of this multidisciplinary project, you will be involved in computational research that seeks to uncover hidden connections between early modern texts, focusing on the movement of English poetry through manuscript miscellanies. This position provides an excellent opportunity for students with an interest in literature, history, digital humanities, data analytics, math, statistics, and/or network analysis. Students are welcome to build upon their work in their honors theses/projects. Although it is not required, we would be very happy for researchers to visit the team in Galway for an intensive period of work during Summer 2026.

Special skills needed

Background in English literature, history, digital humanities, data science, design, and/or statistics.
Strong analytical skills and a willingness to learn new computational methods.
Interest in early modern literature, manuscript studies, or network analysis.
Basic experience with data analysis tools or other relevant software is a plus.
Strong communication skills and the ability to work collaboratively in a team environment.
Ability to manage time effectively and handle multiple tasks.

Majors

All majors will be considered upon application, but the opportunity may be of particular interest to students in the following areas: English; History; Multi-/interdisciplinary studies; Computer and information sciences; Mathematics

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Data Analytics and Mathematics, Humanities

Project # 155

Center name: Active Schools & Communities Lab
Campus/Location: Downtown
Faculty lead: Allison Poulos

Project description

Join Dr. Allison Poulos in the College of Health Solutions and an interdisciplinary research team to support our local communities to make the streets safer for walking, riding, and rolling. We work with City partners to evaluate changes in safety and human behavior after changes to the built environment. Our team meets weekly on the Downtown Campus on Thursdays from 11-1 and includes a large group of students ranging from first-year undergrads to post-doctoral fellows from various programs throughout ASU. You would assist with data collection including conducting surveys and environmental assessments of street and neighborhood conditions, tallying pedestrian and vehicular traffic counts, data management, and dissemination of results. This research provides a great opportunity for hands-on, community-based research with community partners in government and non-profit spaces.

Special skills needed

Interest in health, sustainability, safety, design; Interest in community-based work; Availability on Thursdays between 11-1

Majors

Health Education, Health Promotion, Public Health, Population Health, Kinesiology, Health Sciences, Engineering, Architecture, Design, Sustainability, Psychology, Education

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Art, Architecture, and Design, Biological, Chemical, and Physical Sciences, Business and Entrepreneurship, Data Analytics and Mathematics, Education, Engineering, Health and Wellness, Humanities, Journalism, Communication, and Mass Media, Law, Justice, and Public Service, Social and Behavioral Sciences, Sustainability

Project # 156

Center name: Active Schools & Communities Lab
Campus/Location: Downtown
Faculty lead: Allison Poulos

Project description

Recess is a critical setting to support children's healthy growth and development. Across, the U.S., the number of states passing legislation mandating daily school recess continues to increase; however, we don't have a good understanding of actual practices in schools. Join Dr. Allison Poulos in the College of Health Solutions and an interdisciplinary student and faculty group at other universities across 14 states to measure the relationship between recess policies and practices in elementary schools. On this project, you would assist with administering a statewide survey to schools in Arizona, data management, data analysis, and dissemination of results. The goal of our project is to translate evidence from our survey directly to school administrators, champions, and policymakers to support children's health. Our team meets in person on the Downtown campus every Wednesday from 11-1.

Special skills needed

Availability to meet in person on Wednesdays from 11-1 on the Downtown Campus; interest in health promotion, community-based research, policy, education

Majors

Health, Education, Communication, Sustainability, Humanities, Social Work

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Data Analytics and Mathematics, Education, Health and Wellness, Humanities, Journalism, Communication, and Mass Media, Law, Justice, and Public Service, Social and Behavioral Sciences, Sustainability

Project # 157

Center name: Active Schools & Communities Lab
Campus/Location: Downtown
Faculty lead: Allison Poulos

Project description

Interested in supporting elementary schools to make informed decisions about supporting children's health and movement when it's hot? Join Dr. Allison Poulos and our interdisciplinary study team to learn about the strategies used and challenges schools face; and collect data to identify how adding shade and greenspace to schoolyards can decrease children's thermal exposure and improve health. Students would get hands-on experience collecting and analyzing data. Availability to meet in person on Wednesdays from 11-1 on the Downtown Campus required.

Special skills needed

Interest in health, sustainability, education, design; Availability on Wednesdays from 11-1

Majors

Health, Education, Sustainability, Design, Engineering, Data Analytics, Policy

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Art, Architecture, and Design, Data Analytics and Mathematics, Education, Engineering, Health and Wellness, Humanities, Journalism, Communication, and Mass Media, Law, Justice, and Public Service, Social and Behavioral Sciences, Sustainability

Project # 159

Center name: EYEPlay
Campus/Location: Tempe
Faculty lead: Erin Rotheram-Fuller

Project description

This project uses drama during story time to increase communication, engagement and literacy skills for preschool aged children who are minimally verbal. We can support up to three students for the project, and Lauren Van Huisstede is the project lead.

Special skills needed

Good organizational skills, enjoy watching and playing with young children, interest in understanding disabilities and early education engagement strategies, and attention to detail! This would be ideal for students in the social sciences and education majors. We have several parts of the project that students can take part in, from play-based assessments in schools, to online coding of classroom videos. There is also an opportunity to build and use databases, and assist in analyses for those who are interested (but not required!). This is also an ideal match for students from any field who are interested in learning more about children with disabilities.

Majors

This would be ideal for students in the social sciences and education majors. We have several parts of the project that students can take part in, from play-based assessments in schools, to online coding of classroom videos. There is also an opportunity to build and use databases, and assist in analyses for those who are interested (but not required!). This is also an ideal match for students from any field who are interested in learning more about children with disabilities.

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Education, Health and Wellness, Humanities, Social and Behavioral Sciences

Project # 160

Center name: The SOCIAL Neurobiology lab
Campus/Location: Tempe
Faculty lead: Jessica Verpeut

Project description

This program investigates how cerebellar circuits develop, adapt, and become vulnerable across the lifespan. Although the cerebellum is essential for motor coordination, emerging evidence shows it also supports cognition, emotion, and learning, yet the mechanisms driving these functions remain unclear. We study how cerebellar-specific cell types mature and change during development and how age-related inflammation, synaptic loss, and circuit remodeling contribute to cognitive and motor decline. Using advanced imaging, behavioral assays, computational analysis, and molecular profiling, this project will study circuit-level changes to functional outcomes. Dr. Verpeut will lead this project with 2 undergraduate students.

Special skills needed

Coding in R or Python.

Majors

neuroscience, psychology, biology, chemistry, physics

Years

-2nd Year Students
-3rd Year Students

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics

Project # 171

Center name: New Carbon Economy Consortium (NCEC)
Campus/Location: Tempe; Flexible to remote and/or in-person
Faculty lead: Krista O'Brien

Project description

The New Carbon Economy Consortium (NCEC) is an alliance of universities, national labs, and NGOs working in partnership with industry leaders to build a carbon-conscious world. NCEC hosts members with carbon removal solutions in Engineered Solutions, Biological Solutions, and Hybrid Solutions as well as Finance, Governance, Policy, Business, and Entrepreneurship.

The NCEC Insights project intends to educate a broad audience on cutting edge solutions in carbon sequestration, use, and storage. These solutions range from technical solutions like mechanical carbon sequestration to natural solutions such as “blue carbon” which utilizes coastal ecosystems to capture and store carbon. The Barrett Fellows will be tasked with 1) conducting research into up-and-coming carbon solutions, 2) interviewing researchers and practitioners in fields of carbon capture, use, and storage, and 3) drafting written deliverables. This project will expand students' knowledge of carbon capture concepts and allow students to develop climate communication skills, as the insights will communicate complex topics to the general public.

The faculty lead for this project is Amanda Ellis, but Krista O'brien is the secretariat and primary manager of the New Carbon Economy Consortium. NCEC falls under the Global Partnerships department within the Global Futures Laboratory.

Special skills needed

Required:

Strong oral and written communication skills
Proficiency in email communication
Self-motivated to work independently and meet deadlines in a timely manner
An interest in climate action and carbon solutions
Experience working on a team
Preferred:

Understanding of various CO₂ concepts such as CO₂ sequestration, conversion, storage, and mineralization.
Experience conducting interviews English, Communications, Journalism, Sustainability, Engineering, Education (flexible on major if they fulfill the required & preferred skills through course work and professional experience)

Majors

English, Communications, Journalism, Sustainability, Engineering, Education (flexible on major if they fulfill the required & preferred skills through course work and professional experience)

Years

-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Business and Entrepreneurship, Data Analytics and Mathematics, Journalism, Communication, and Mass Media, Law, Justice, and Public Service, Social and Behavioral Sciences, Sustainability

Project # 172

Center name: Biodiversity Knowledge Integration Center
Campus/Location: Flexible to remote and/or in-person; Fully remote
Faculty lead: Beckett Sterner

Project description

This project studies viruses detected in North American rodents to advance understanding of reservoir hosts and improve risk modeling for zoonotic disease spread. We are completing the first comprehensive systematic review and meta-analysis of studies publishing virus detection results and experimental or statistical studies of factors that influence disease spread. Students with an interest in biology (no prior skills required) can join an ongoing team that extracts and analyzes virus detection studies. Students with some prior computational or statistics background can join a team working on data visualization and analytics. Both tracks can accommodate as many students as are interested and have the relevant background. We have had many prior honors fellows go on to do successful thesis projects based on the data they extract, and we encourage students to develop publishable journal articles from their work.

Special skills needed

Students with an interest in biology (no prior skills required) can join an ongoing team that extracts and analyzes virus detection studies. Students with some prior computational or statistics background can join a team working on data visualization and analytics.

Majors

Biology (or related fields), Computer Science, Math, Data Science, Statistics

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Health and Wellness

Project # 175

Center name: School of Earth & Space Exploration
Campus/Location: Tempe
Faculty lead: Rogier Windhorst

Project description

Students who are taking Prof. Windhorst's AST 322 Extragalactic Astronomy and Cosmology course (in Spring 2026 or have taken it earlier) can do an Honors project related to that course. See http://windhorst322.asu.edu for details. The Honors Project will include to evaluate the scale factor a(t) from the integral equation (5.83) --- the proper solution to the relativistic Friedmann equation --- in Ryden's book for a reasonable grid of (Omega_r, Omega_m, Omega_Lambda) values, and plot these a(t) [following Fig. 5.7] for a grid of (Omega_m, Omega_Lambda) values as suggested in Fig. 5.6. Sample Fig. 5.6 with a dense enough grid of (Omega_m, Omega_Lambda) values to provide examples of a(t) for all reasonable universes (see the *** in Fig. 5.6). Successful students will also be able to do research with Hubble and Webb in my cosmology group starting in the summer.

Special skills needed

see class URL above

Majors

see class URL above

Years

-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics

Project # 177

Center name: Authentic online research on honey bee colonies
Campus/Location: Tempe; Fully remote/Remote considered
Faculty lead: Hong Lei

Project description

As an eusocial species, honeybee colonies are known to demonstrate age dependent behaviors. Young bees take care of the brood; older bees become forager. At any given time, different individuals are performing different behaviors in the hive. Recognizing and quantify these behaviors is important for understanding organizing principles of a society, but this task is challenging because of large number of bees. Could this work be automated by a computerized tracker powered by machine learning?

Special skills needed

Computer vision, AI, data science

Majors

CS

Years

-ASU Online Barrett Honors Students (fully remote work)
-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Engineering

Project # 181

Center name: Biodesign Center for Fundamental and Applied Microbiomics
Campus/Location: Tempe
Faculty lead: Qiyun Zhu

Project description

Dr. Qiyun Zhu is leading a DOE-funded project to enhance scikit-bio (https://scikit.bio/), a renowned open-source Python library for bioinformatics. Scikit-bio offers a range of algorithms and data structures extensively utilized in biological data analysis. Our goal is to augment its capabilities, particularly in handling and interpreting large-scale, multi-layered biological data (multi-omics), crucial for unraveling the intricate interactions among organisms and the environment. Specifically, we seek to recruite 1-3 students to add and refine functionalities for 1) efficient processing of diverse data types, 2) seamless integration of multi-omic datasets, and 3) characterization and labeling (annotation) of biological elements. This opportunity is a gateway for students to collaborate with leading bioinformatics experts and software engineers. Ideal candidates should have a keen interest in open-source scientific computing and a basic understanding of programming, preferably in Python. Students from diverse academic backgrounds who are enthusiastic about merging computing with biology are encouraged to apply. Participants will receive hands-on experience in contributing to high-quality software, valuable mentorship, and skill development that is highly desired in both academic and industry settings. This experience will be a significant stepping stone in your career in bioinformatics, software development, or data science.

Special skills needed

* Strong programming skills, preferably in Python, is essential for this position.
* Experience in open-source software development is highly preferable but not essential.
* Experience or interest in machine learning, computer science, mathematics, or statistics is preferrable but not essential.
* Experience or interest in evolutionary biology, ecology, genetics, molecular biology, or any other biology fields is preferrable but not essential.
* The applicant may read the scikit-bio guideline for contribution: https://scikit.bio/contribute.html to assess their comfortableness with the development work.Any major is appropriate, as long as you have the right skillset. Some successful candidates were from majors such as Computer Science, Biomedical Engineering, Biotechnology, Mathematics, Statistics, etc.

Majors

Any major is appropriate, as long as you have the right skillset. Some successful candidates were from majors such as Computer Science, Biomedical Engineering, Biotechnology, Mathematics, Statistics, etc.

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Health and Wellness

Project # 183

Center name: Simon A Lebin Mathematical, Computational and Modeling Sciences Center
Campus/Location: Tempe
Faculty lead: Fabio Milner

Project description

Sexually transmitted infections (STIs) are very common, particularly among 18-to-24-year-olds. It has been observed that they are more common among dating app users than among non-users. If we want to study a possible causal relation or correlation between STI incidence and use of dating apps, we must first know the structure of the sexually active population, hopefully by age and sex. We also need to know the rate at which the various groups considered in the structure acquire new individuals (onset or restart of sexual activity) and the rate at which they lose them (cessation of sexual activity). Building a model for this population will be the first step in the project. The next step will be to build a model for the transmission of STIs across the groups in the sexually active population. This will involve the collection and preparation of data, parameter fitting, research question(s) formulation, experimental design to answer the question(s), and analysis of scenarios. This exciting project will be hands-on, not lecture style. Participants will be responsible for conducting literature reviews, selecting and summarizing articles, discussing and carrying out model formulation, formulating research question(s) and analyzing results that help answer them.

Special skills needed

Quantitative and analytical thinking
Understanding the meaning of and using derivatives and differentiation (calculus 1).

Majors

all

Years

-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Health and Wellness, Social and Behavioral Sciences

Project # 194

Center name: American Indian Policy Institute
Campus/Location: Downtown; Fully remote; Flexible to remote and/or in-person
Faculty lead: Brooke Curleyhair

Project description

This project is designed for students interested in the intersection of Indigenous law, public policy, and governance, particularly those considering law school or policy-oriented careers. Under the mentorship of faculty and staff at the American Indian Policy Institute (AIPI), students will engage in a structured research and writing experience focused on a legal or policy issue impacting Indigenous peoples in the United States or internationally.

Students will develop a focused research question, examine the historical and legal foundations of the issue, and analyze contemporary federal, state, tribal, or international policy developments. As part of this work, students will contribute to AIPI’s ongoing policy analysis efforts by assisting with legislative and Federal Register tracking, maintaining and updating a shared policy spreadsheet, and drafting summaries of relevant policy developments in collaboration with AIPI researchers. These activities will support, rather than replace, their individual research project.

Students will produce a final written product, such as a policy brief, research article, or blog post, with opportunities for publication through AIPI’s policy blog and/or the Law Journal for Social Justice’s online platform. Year-long projects may support submission to a law or policy journal.

Special skills needed

This project is intended to facilitate learning opportunities in advanced research and academic writing techniques. While a specific set of qualifications is not required, we recommend students with some experience engaging in academic research and writing apply for this opportunity.

Majors

ANY major! Policies touching all facets of everyday life, from education to health to engineering, impact Indigenous peoples. The more research we do on these diverse issues, the more prepared and empowered Indigenous communities will be to develop quality of life-enhancing solutions!

Years

-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Art, Architecture, and Design, Biological, Chemical, and Physical Sciences, Business and Entrepreneurship, Data Analytics and Mathematics, Education, Engineering, Health and Wellness, Humanities, Journalism, Communication, and Mass Media, Law, Justice, and Public Service, Social and Behavioral Sciences, Sustainability

Project # 198

Center name: Simulator Building
Campus/Location: Polytechnic
Faculty lead: Shiva Pooladvand

Project description

This project, conducted in partnership with the Arizona Department of Transportation (ADOT), focuses on improving roadway safety for drivers across Arizona. The primary goal is to develop and evaluate innovative training programs that utilize a high-fidelity driving simulator to enhance the driving skills, hazard recognition, and decision-making abilities of inexperienced drivers. These simulator-based training modules will be designed to replicate real-world driving environments and challenging scenarios commonly encountered on Arizona roadways. The selected student will contribute to the development of different driving scenarios within the simulator. Applicants should have familiarity with programming and an interest in simulation, human factors, and transportation safety research. The student will work closely with the research team to design, implement, and test interactive training modules that promote safer driving behaviors and reduce crash risks among inexperienced drivers. This is a volunteer position.

Special skills needed

Proficiency in programming, data analysis, human subject study, and data collection

Majors

Human Systems Engineering, Computer Science, or other related Engineering majors

Years

-First Year Students (new to ASU Fall 2025)
-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Data Analytics and Mathematics, Engineering

Project # 201

Center name: Decision Theater
Campus/Location: Tempe
Faculty lead: Manfred Laubichler

Project description

The Decision Theater is developing innovative decision-support tools to address critical challenges in Arizona's energy and environmental landscape. In examining the future energy landscape, DT is developing a data-driven model that will guide stakeholders in evaluating novel energy sources, including nuclear options, to meet the state’s 20 GW demand from coal and oil closures and new growth, while balancing safety, security, and efficiency concerns. DT also aims to map ozone pollution and risks that may trigger EPA-imposed restrictions on development. Decision Theater will integrate these data streams and models into cohesive visualizations, ultimately, to support decision-making across industry, government, and communities through understanding complex financial, regulatory, environmental, and societal factors.

Special skills needed

This position will assist the Decision Theater staff with subject-matter research and analysis which may include:

Writing briefs

Briefing colleagues on background for topics

Researching through complex techniques and procedures, library research, structured

interviews or other project-specific methodology

Writing and editing material for publication and presentation

Maintaining research documentation and sources

Running models and tools for presentations to clients and visitors


Qualifications include:

Demonstrated public speaking experience

Strong qualitative research skills

Strong written and verbal communication skills

Detail-oriented

Ability to pick up things fast with a strong desire to learn

Demonstrated leadership experience

Previous knowledge or skill and/or equivalent experience in Outlook, MS Office Suite,

Word, and Excel, specifically macros and functions

Experience with collaborative platforms such as Google Docs

Ability to lift/move heavy furniture with the assistance of a dolly

Interest in learning how to utilize technology to support decision-making and public policy All majors are appropriate but may be best suited for those in Sustainability, Complex Adaptive Systems, Fulton Engineering, School for the Future of Innovation in Society, WP Carey (Business Analytics), Herberger Institute for Design and the Arts

Majors

All majors are appropriate but may be best suited for those in Sustainability, Complex Adaptive Systems, Fulton Engineering, School for the Future of Innovation in Society, WP Carey (Business Analytics), Herberger Institute for Design and the Arts

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Data Analytics and Mathematics, Engineering, Sustainability

Project # 202

Center name: Decision Theater
Campus/Location: Tempe
Faculty lead: Manfred Laubichler

Project description

Solution Theater is a framework within a Decision Theater environment designed to help citizens work together on complex societal challenges. It brings representative groups of 12 to 15 participants into a structured setting where they have shared access to data, models, and scenario tools that support informed discussion. The project responds to growing political polarization, media noise, and declining trust in institutions, science, and expertise. Rather than relying on voting, participants deliberate, build trust, and develop proposals through guided, bottom-up processes. The central hypothesis is that when trust-building is paired with neutral data-driven decision-support tools, diverse citizens can reach reasonable agreements at a small scale. Solution Theater serves as a test case for a functioning micro-democracy, offering evidence that collective decision-making is still possible. Insights from these experiments will inform how participatory systems might scale, how civic education must evolve, and how democratic institutions can develop resilience against misinformation and manipulation in a modern information environment.

Special skills needed

This position will assist the Decision Theater staff with subject-matter research and analysis which may include:

Writing briefs

Briefing colleagues on background for topics

Researching through complex techniques and procedures, library research, structured

interviews or other project-specific methodology

Writing and editing material for publication and presentation

Maintaining research documentation and sources

Running models and tools for presentations to clients and visitors


Qualifications include:

Demonstrated public speaking experience

Strong qualitative research skills

Strong written and verbal communication skills

Detail-oriented

Ability to pick up things fast with a strong desire to learn

Demonstrated leadership experience

Previous knowledge or skill and/or equivalent experience in Outlook, MS Office Suite,

Word, and Excel, specifically macros and functions

Experience with collaborative platforms such as Google Docs

Ability to lift/move heavy furniture with the assistance of a dolly

Interest in learning how to utilize technology to support decision-making and public policy

Majors

All majors are appropriate but may be best suited for those in Sustainability, Complex Adaptive Systems, Fulton Engineering, School for the Future of Innovation in Society, WP Carey (Business Analytics), Herberger Institute for Design and the Arts

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Data Analytics and Mathematics, Law, Justice, and Public Service, Social and Behavioral Sciences, Sustainability

Project # 203

Center name: Decision Theater
Campus/Location: Tempe
Faculty lead: Manfred Laubichler

Project description

This project focuses on developing an AI-powered tool that helps students clearly understand how their coursework connects to the job market. Using data from CGF courses and live job postings from Lightcast, the tool maps specific skills learned in each course to relevant job titles and current employment opportunities. Students can see how completed courses contribute to concrete, in-demand skills, as well as which additional courses could help close gaps for roles they are interested in pursuing. For each job, the tool displays the full set of required skills, allowing users to compare what they have already learned with what employers are seeking. This creates a transparent pathway between education and employment, grounded in real labor market data. By making skill development visible and actionable, the tool supports more informed academic planning, reduces uncertainty about career outcomes, and helps students align their learning choices with evolving workforce needs.

Special skills needed

This position will assist the Decision Theater staff with subject-matter research and analysis which may include:

Writing briefs

Briefing colleagues on background for topics

Researching through complex techniques and procedures, library research, structured

interviews or other project-specific methodology

Writing and editing material for publication and presentation

Maintaining research documentation and sources

Running models and tools for presentations to clients and visitors


Qualifications include:

Demonstrated public speaking experience

Strong qualitative research skills

Strong written and verbal communication skills

Detail-oriented

Ability to pick up things fast with a strong desire to learn

Demonstrated leadership experience

Previous knowledge or skill and/or equivalent experience in Outlook, MS Office Suite,

Word, and Excel, specifically macros and functions

Experience with collaborative platforms such as Google Docs

Ability to lift/move heavy furniture with the assistance of a dolly

Interest in learning how to utilize technology to support decision-making and public policy

Majors

All majors are appropriate but may be best suited for those in Sustainability, Complex Adaptive Systems, Fulton Engineering, School for the Future of Innovation in Society, WP Carey (Business Analytics), Herberger Institute for Design and the Arts

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Data Analytics and Mathematics, Education, Engineering

Project # 204

Center name: Decision Theater
Campus/Location: Tempe
Faculty lead: Manfred Laubichler

Project description

This project deploys a health care focused decision support tool to further shared understanding and informed decision-making around emerging health policy impacts in Arizona. The platform integrates geo-coded data on health outcomes, health care systems, access, demographics, infrastructure, and environmental factors into a single interactive environment. These data layers can be queried and visualized and serve as the basis for complex systems models, scenarios, and predictions. The platform also examines impacts on the future health workforce, including constraints on medical education financing. Decision Theater provides a testbed for evaluating mitigation strategies, helping stakeholders assess trade-offs, coordinate responses, and explore solutions before decisions are implemented.

Special skills needed

This position will assist the Decision Theater staff with subject-matter research and analysis which may include:

Writing briefs

Briefing colleagues on background for topics

Researching through complex techniques and procedures, library research, structured

interviews or other project-specific methodology

Writing and editing material for publication and presentation

Maintaining research documentation and sources

Running models and tools for presentations to clients and visitors


Qualifications include:

Demonstrated public speaking experience

Strong qualitative research skills

Strong written and verbal communication skills

Detail-oriented

Ability to pick up things fast with a strong desire to learn

Demonstrated leadership experience

Previous knowledge or skill and/or equivalent experience in Outlook, MS Office Suite,

Word, and Excel, specifically macros and functions

Experience with collaborative platforms such as Google Docs

Ability to lift/move heavy furniture with the assistance of a dolly

Interest in learning how to utilize technology to support decision-making and public policy

Majors

All majors are appropriate but may be best suited for those in Sustainability, Complex Adaptive Systems, Fulton Engineering, School for the Future of Innovation in Society, WP Carey (Business Analytics), Herberger Institute for Design and the Arts

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Health and Wellness, Social and Behavioral Sciences

Project # 208

Center name: Collective Logic Lab
Campus/Location: Tempe
Faculty lead: Bryan Daniels

Project description

Honey bees solve collective challenges on a daily basis. The aggregate work output of a colony is resilient and adaptive to environmental changes. Information exchange between bees is crucial to these collective outcomes. In this project, using existing honey bee tracking data, we will construct a classifier that predicts bee behavior based on where it is in the hive and which other bees it interacts with. This will eventually be developed into a computational model of bee decision-making. This project will involve data science techniques and coding in Python.

Special skills needed

Some degree of familiarity or desire to learn programming and data analysis in Python.I am open to a diversity of backgrounds. This project could be a good fit for students interested in applied math, computer engineering, data analytics, computer science, physics, or biology.

Majors

I am open to a diversity of backgrounds. This project could be a good fit for students interested in applied math, computer engineering, data analytics, computer science, physics, or biology.

Years

-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics

Project # 209

Center name: School of Mathematical and Statistical Sciences
Campus/Location: Flexible to remote and/or in-person
Faculty lead: Neha Joshi

Project description

This project explores how core ideas from discrete mathematics, such as graphs, sets, logic, and algorithms, are used in modern data science applications. Students will work with real-world datasets (e.g., social networks, transportation systems, or interaction networks) and model them using discrete structures like graphs and trees. Using Python, students will analyze connectivity, paths, centrality measures, and patterns within the data, and create visualizations to communicate their findings.

The project emphasizes both mathematical reasoning and computational thinking. Students will gain hands-on experience using Python libraries such as pandas, networkx, and matplotlib, while strengthening their understanding of discrete math concepts covered in coursework. No prior data science experience is required, but comfort with basic programming is helpful. The project culminates in a written report and a reproducible Jupyter notebook that can serve as a portfolio piece.

Number of Students: 3–5
Faculty Lead: Neha Joshi, School of Mathematical and Statistical Sciences

Special skills needed

No prior programming or advanced math experience is required. We are looking for students who are curious, motivated, and interested in exploring discrete mathematics and data analysis. Familiarity with basic algebra, graph theory or willingness to learn Python is helpful but not required. Students should be comfortable working collaboratively and thinking critically about problems.

Majors

Mathematics, Statistics, Computer Science, Data Science, Engineering, Economics, Physics, or any major with an interest in mathematical modeling, problem-solving, and data analysis.

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-ASU Online Barrett Honors Students (fully remote work)
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Engineering

Project # 213

Center name: ASU SESE Cosmology Initiative (Goldwater 5th floor)
Campus/Location: Tempe
Faculty lead: Rogier Windhorst

Project description

Students are solicited to do research with the Hubble and Webb Space Telescopes
in the Cosmology group of Regents' and Foundation Professor Windhorst at ASU.
Possible research topics can be done at the undergraduate, honors, 2nd-yr,
Masters, and/or PhD level by either SESE, Physics, and/or NASA Space Grant
undergraduate or graduate students, resp.

The student will do research with Hubble and the new Webb data to study current
hot topics in cosmology, the epoch of cosmic reionization, star-formation in a
cosmological context, galaxy formation and evolution, and the growth of
super-massive black holes in the centers of galaxies. The student will learn how
to reduce and analyze the Hubble and Webb data, and will get hands-on
experience with Hubble and Webb data. Recommended is some experience with Mac OS
and/or UNIX, and python image processing, although this is not essential for
undergraduate students, since they will be trained in Windhorst's cosmology
group. We have room for several new undergraduate students.

Special skills needed

Essential Skills: Recommended is some experience with Mac OS and/or UNIX,
and image processing using Python, etc. See above, although not essential for UGs

Animation: Beginner
Adobe Suite: None/No Preference
C: Beginner or better
CAD: None
Database: Beginner or better
GPS: None/No Preference
HTML: Beginner or better
Image Processing: Beginner or better
Java: Beginner or better
Linux: Beginner or better
Macs: Beginner or better
Statistics: Beginner or better
Windows: None/No Preference

Majors

AST, PHY, MAT, Engineering (Mechanical or Electrical)

Years

-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Engineering

Project # 214

Center name: Center for AI and Data Analytics
Campus/Location: Fully remote/Remote considered
Faculty lead: Xiyang Hu

Project description

This project studies large language models (LLMs) that perform reasoning and inter-agent communication directly in latent space rather than through explicit natural language tokens. The core idea is to represent intermediate thoughts, plans, and messages as continuous latent states that are learned end to end and exchanged among agents. The project will develop algorithms and model architectures that allow agents to generate, transform, and interpret latent representations for tasks that require long-horizon reasoning, coordination, and information sharing. Key goals include analyzing how latent-space interaction affects reasoning depth, sample efficiency, and robustness, and comparing these properties with token-level communication. The project will also provide empirical and theoretical analysis of when latent communication improves performance, how it can be aligned with external supervision, and how latent states can be decoded or constrained to support interpretability and control.

Special skills needed

✅ Strong in programming (Python/C++, with experience in deep learning frameworks like PyTorch)
✅ Solid in mathematical foundations (e.g., probability, statistics, linear algebra, optimization)
✅ Knowledgeable in AI/ML (machine learning, data mining, or AI fundamentals; has taken CSE 475/476 or equivalent)
✅ Passionate about research (publications in ML or interdisciplinary venues are a plus, but not required)
✅ Self-motivated, curious, and ready to take initiative – we encourage students to lead projects and publish at top venues!

Majors

Computer Science, Computer Engineering, Electerical Engineering, etc.

Years

-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Data Analytics and Mathematics, Engineering

Project # 217

Center name: Exoteric Lab
Campus/Location: Tempe
Faculty lead: Luis Welbanks

Project description

This research project explores how scientists determine the composition and climate of planets outside our solar system by analyzing light from distant stars and planets. The student will work with real astronomical data and computational models to investigate the atmospheres of exoplanets, learning how temperature, chemistry, and clouds shape the signals we observe.

The primary applications of this research are in exoplanet science, planetary atmospheres, and data-driven discovery. The student will be primarily mentored by Professor Luis Welbanks in the School of Earth and Space Exploration and will collaborate with graduate students and postdoctoral researchers within the Exoteric Lab.

Special skills needed

Programming experience (Python preferred)
Comfort working with data, graphs, and numerical results
Introductory coursework in physics, astronomy, chemistry, or mathematics (or concurrent enrollment)
Willingness to learn statistical and computational modeling techniques
Ability to work independently and as part of a research team
Clear written and verbal communication skills

Majors

Astronomy, Physics, Mathematics, Chemistry, Computer Science, Engineering (computational or physical sciences focus)

Years

-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics

Project # 220

Center name: Physical Activity and Healthy and Active School Research Team
Campus/Location: Tempe
Faculty lead: Pamela Kulinna

Project description

This is a longitudinal project (year 7) grounded in ecological theories studying the adoption of a recess law in Arizona (ARS§15-118) requiring 2 recess sessions per day. The goal of this project is to track physical activity opportunities for students at schools. This data will be used in school partnerships to expand physical activity opportunities for students. This longitudinal project can offer Barrett students many different research opportunities which could include data collection, school visits, data entry and management, conducting interviews, data analyses, and writing/grant writing with the research team.

Special skills needed

Students can develop research skills while working on the project.

Majors

Health, Exercise, Wellness, Kinesiology, Physical Activity and Physical Education

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Data Analytics and Mathematics, Education, Health and Wellness

Project # 235

Center name: Center for Behavior, Institutions and the Environment
Campus/Location: Tempe; Flexible to remote and/or in-person
Faculty lead: Marco Janssen

Project description

Residential houses are increasingly integrating Distributed Energy Resources (DER), including rooftop solar, batteries, EVs, and smart thermostats, which allow households to generate a large amount of their electricity. However, it has also made electricity generation and consumption increasingly less predictable from the utility company’s perspective. Although residential DER management is technically possible, it is not happening at scale due to behavioral issues. We are developing a stylized model of residential home energy to simulate how households can manage their DER and include human responses (e.g., overriding thermostat settings, timing of charging and discharging batteries). The next step will be a community of households that can exchange electricity via governance protocols. Such a utilization of electricity storage and electricity generation could increase the energy security of households, but it could also lead to new vulnerabilities. This model aims to help identify vulnerabilities at the community level of DER systems.
This work is done in collaboration with the Agile Electrification initiative at UC San Diego, a collaboration between businesses and academics.
The Faculty Lead is Dr. Marco Janssen, who is a Professor in the School of Sustainability and has formal training in Operations Research. He also has extensive expertise in social science and translates social science expertise into simulation models relevant to sustainability questions.

Special skills needed

Programming experience (for example Python), data analytics, statistical analysis, proficiency with Excel

Majors

Sustainability, Sustainable Energy Systems, Mathematics, Data Science, Economics, Industrial Engineering

Years

-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Data Analytics and Mathematics, Engineering, Social and Behavioral Sciences, Sustainability

Project # 238

Center name: HELM Lab
Campus/Location: Flexible to remote and/or in-person
Faculty lead: Joseph Daniels

Project description

The HELM lab is a new venture led by Dr. Daniels, Associate Professor in the Edson College of Nursing and Health Innovation. HELM is Harnessing Evidence to Lift Men’s Health. There are four projects associated with HELM:

1) HELM lab design and launch: Develop mission, objectives and branding including website and social media that leverages previous, current and future research led by Dr. Daniels. Additionally, write two white papers based on current evidence, community activities and research that will position HELM as a leader in men's health globally. This may involve assessing the current men's health landscape at US institutions to position HELM appropriately.
2) Assist in Research I: Learn, participate and lead components of a community engaged project focused on prostate cancer in Phoenix.
3) Assist in Research II: Learn, participate and lead components of a study to assess the feasibility of an intervention to improve care engagement by men in Phoenix.
4) Assist in Research III: Learn, participate and lead components of a study to assess the feasibility of an intervention to improve care engagement by men and women in South Africa.

For Projects 3 and 4, this work will focus on activities related to data collection, analysis, and study coordination, and these projects are funded by the National Institutes of Health. There will be opportunities to be an author on conference presentations and manuscripts, and potentially lead these dissemination activities.

Special skills needed

IT
MS Office
Ability to learn study related programs (REDCap, Dedoose)
Able to complete CITI certification if don't have it already
Innovative thinking
Ideally, experience with any kind of research and literature review
Highly organized
Can commit to completing action items and projects

Majors

Any

Years

-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Business and Entrepreneurship, Data Analytics and Mathematics, Health and Wellness, Social and Behavioral Sciences

Project # 241

Center name: Drylands Ecosystem Research Team
Campus/Location: Tempe; Flexible to remote and/or in-person
Faculty lead: Heather Throop

Project description

Dryland ecosystems are uniquely vulnerable to climate change but also offer promise for helping to mitigate the consequences of climate change. This project will use image analysis to explore research questions related to how drylands interact with environmental change. Research questions will include: how do desert plants respond to wildfires over long time scales? How does plant canopy cover differ along different rainfall regions? How do inputs to desert soils differ through time and space? Barret students will work together in teams with researcher in the Dryland Ecosystem Research Team to define research questions, refine methods, and explore the data.

Special skills needed

Successful students working on this research project will be willing to work hard and think creatively to solve new challenges, will work well in a team-based research environment, and will be enthusiastic about learning how desert ecosystems respond to a changing environment. Good organization, ability to write clearly, and basic computer skills are needed.

Majors

Conservation Biology and Ecology, Earth and Environmental Science, Astrobiology and Biogeoscience, Biology

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Sustainability

Project # 244

Center name: School of Mathematical and Statistical Sciences
Campus/Location: Tempe
Faculty lead: Bartu Bingol

Project description

Fellows will work on a hands-on sports analytics research project using college football game data. Our big question is simple and fun: what actually wins games, and how can we measure it in a careful, honest way? Students will build the dataset themselves, including data collection, cleaning, and clear documentation of variables. We will create interpretable features such as turnover margin, yards per play, and penalties, and then develop two complementary regression models: a linear regression model for point differential and a logistic regression model for win probability. Along the way, Fellows will learn how to interpret coefficients in plain English, check model assumptions, and evaluate models using train/test splits and basic validation tools. The final products will include a polished written report (RMarkdown is recommended), a short presentation or poster, and a fully reproducible code pipeline.

Faculty lead: Bartu Bingol. Capacity: 4 Fellows.

Special skills needed

1. Familiarity with basic statistics concepts such as mean, median, standard deviation, distributions, and interpreting plots (histograms, scatterplots)
2. Comfort working with data in a structured way (tables/spreadsheets), including careful attention to units, missing values, and consistency checks
3. Some programming experience is helpful, preferably in R (Python is also fine), or a clear willingness to learn
4. Familiarity with regression is a big plus (linear regression and/or logistic regression), including interpreting coefficients at a basic level
5. Ability to communicate reasoning clearly in writing, with full sentences and well-labeled figures
6. Strong work habits and collaboration skills (meeting deadlines, responding to feedback, and contributing to a shared code and writing workflow)

Majors

Statistics, Mathematics, Data Science, Computer Science, Business Data Analytics, Economics, Industrial Engineering, Sports Business or Sports Journalism students with strong quantitative interest

Years

-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Data Analytics and Mathematics

Project # 254

Center name: Human Biometeorology Lab/ HeatReady Initiatives
Campus/Location: Tempe
Faculty lead: Jennifer Vanos

Project description

This project focuses on measuring, monitoring, and evaluating trees planted across the Phoenix Metro area. Overall, the project aims to yield insights into how trees perform in extreme heat environments, and how community-based tree planting contributes to urban cooling and heat resilience. Students will assist in collecting field data for hundreds of trees, including indicators of tree health, growth, and survivability, and will help analyze these data as part of a larger database to assess the effectiveness of urban tree planting efforts. Students will be advised by Dr. Jennifer Vanos, Associate Professor in the School of Sustainability and the team at the HeatReady initiatives at ASU, in partnership with the nonprofit organization Trees Matter. Findings will support evidence-based decision-making for future urban forestry efforts, tree maintenance strategies, and heat mitigation efforts. Students will gain hands-on experience in field data collection, applied environmental research, and community-engaged science. Students will also be part of communication efforts with our partners at the Sustainability Teachers Academy to bolster ongoing collaboration on tree education.

Special skills needed

Looking for students who are eager to engage in outdoor fieldwork as part of a larger, collaborative effort, learning hands-on techniques related to urban forestry and desert tree health, being part of a collaborative team, and have an interest in urban ecology, GIS, and/or urban climate.

Majors

Environmental Science, Conservation Sciences, Sustainability, Geography/GIS, Ecology, Public Health, Education, or related fields.

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Education, Health and Wellness, Humanities, Social and Behavioral Sciences, Sustainability

Project # 256

Center name: Global Futures Office of Research Development and Strategy
Campus/Location: Tempe
Faculty lead: Ann Marie Hess

Project description

Public universities are navigating a period of rapid change in federal research funding, priorities, and regulatory expectations. As competition increases and safeguards vary across programs, institutions face complex decisions about how to balance innovation, responsibility, and public trust. This project treats the university itself as a research subject, examining emerging models of public-interest academic research that integrate discovery, implementation, and accountability. Barrett Fellows will analyze funding programs, research structures, and institutional responses to identify design options that allow universities to support diverse research pathways while remaining competitive and publicly accountable.

Special skills needed

Analytical thinking, qualitative research, policy or market analysis, synthesis writing, comfort working with complex systems

Majors

Business (Strategy, Entrepreneurship),
Public Policy,
Political Science,
Economics,
Sustainability,
Global Studies,
Sociology,
Journalism or Communication

Years

-3rd Year Students
-4th Year Students- Seniors

Themes

Cross-listed with the following themes:

Business and Entrepreneurship, Data Analytics and Mathematics, Journalism, Communication, and Mass Media, Law, Justice, and Public Service, Social and Behavioral Sciences, Sustainability

Project # 257

Center name: Global Institute of Sustainability and Innovation
Campus/Location: Flexible to remote and/or in-person
Faculty lead: Eleanor Hennessy

Project description

As electric vehicles are growing in popularity, understanding barriers to access to charging infrastructure is increasingly important. In this project, we will assess access to home, workplace, and public charging infrastructure and identify "charging deserts", where access is limited. Using a variety of public datasets, we will explore how access to each type of charging infrastructure varies geographically and across different socioeconomic and demographic groups. We will identify disparities in access and identify potential solutions to improve access in areas lacking charging infrastructure.
I will accept 1-2 students to work on this project.
Faculty lead: Eleanor Hennessy

Special skills needed

Required Qualifications:
Interest in electric vehicles, equity, and just transitions
Excitement and motivation
Experience using Microsoft Excel

Desired Qualifications:
Scientific programming experience (e.g., R, Python)
Background in GIS
Data analysis experience

Majors

Sustainability; engineering; geography; urban planning; data science

Years

-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Data Analytics and Mathematics, Sustainability

Project # 265

Center name: Center for Biology and Society
Campus/Location: Tempe; Fully remote; Flexible to remote and/or in-person
Faculty lead: Beckett Sterner

Project description

This project studies viruses detected in North American rodents to advance understanding of reservoir hosts and improve risk modeling for zoonotic disease spread. It will be the first comprehensive systematic review and meta-analysis of studies publishing virus detection results and experimental or statistical studies of factors that influence disease spread. Students with an interest in biology (no prior skills required) can join an ongoing team that extracts and analyzes virus detection studies. Students with some prior computational or statistics background can join a team working on data visualization and analytics. Both tracks can accommodate as many students as are interested and have the relevant background. We have had many prior honors fellows go on to do successful thesis projects based on the data they extract, and we encourage students to develop publishable journal articles from their work.

Special skills needed

Students with an interest in biology (no prior skills required) can join an ongoing team that extracts and analyzes virus detection studies. Students with some prior computational or statistics background (e.g. ability to program or analyze data to produce statistical summaries and trends) can join a team working on data visualization and analytics.

Majors

Biology, Computer Science, Math, Data Science, Statistics, Physics

Years

-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Health and Wellness

Project # 266

Center name: Desert Botanical Garden - The Hernandez Lab
Campus/Location: Tempe
Faculty lead: Tania Hernandez

Project description

The Hernandez Lab at the Desert Botanical Garden is a collaborative team of researchers, students, interns, and volunteers dedicated to the study and conservation of desert plant biodiversity, with a particular focus on cacti and agaves, two of the plant groups under the highest threat of extinction. We integrate cutting-edge DNA sequencing and bioinformatic analyses with innovative conservation tools, an international network of collaborators, and a strong local community of committed volunteers to generate knowledge that guides the protection and long-term persistence of species. We believe plant conservation is both a scientific imperative and a shared responsibility, and our work centers on understanding genetic diversity, adaptation, and resilience in desert plants; especially in the face of climate change. Through mentorship, research, and hands-on programs such as the Saguaro Initiatives, we connect science, community, and action to safeguard desert ecosystems for future generations.

To learn more about our work, visit https://www.hernandezlab-dbg.com/

Project Location: Desert Botanical Garden and remote work

Special skills needed

More than ever, genomic data is transforming how we understand how plants function, evolve, and respond to environmental change. These data are also key to predicting how plant species will be affected by climate change and to designing better conservation strategies.

At the Hernández Lab, we work across the full spectrum of genomic analyses. Opportunities range from foundational tasks such as data curation, organization, and quality control, to advanced analyses including population genomics, landscape genetics, and genomic vulnerability assessments.
We welcome students, interns, and collaborators at all levels of expertise who have computing skills and a strong interest in the study and conservation of wild plants. This is an excellent opportunity to gain hands-on experience with real genomic datasets while contributing to meaningful conservation research.

** Plant Conservation Bioinformatics Specialist Honors Student, Intern or Collaborator **
Minimum requisites:
- proficient in unix/linux
- general knowledge in genetics, population genetics, evolution, phylogenetics
- basic coding skills and shell scripting
- be able to self-learn with guidance of senior students
- available 5-10 hours a week (more if desired)
- must have a personal computer and access to good internet
- participate in a weekly advisory meeting and a quarter whole team meeting

Benefits
- Professional mentoring from researchers and conservation scientists at Desert Botanical Garden
- Training in the use of High-Performance Computing Cluster and access to all ASU computing services
- Training in the implementation of novel methods in bioinformatics and genomics (genome assembly and annotation, phylogenomics, population genomics)
- Participation and interaction with an international group of students and collaborators
- If desired, development of a project with publishable results.
- Working from home at self-pace

Students who successfully participate in and complete bioinformatics projects at the Hernández Lab are included as coauthors on resulting scientific publications, in accordance with their contributions. Committed students may also have opportunities to participate in scientific conferences and present their work (for example, Botany 2026).

Majors

Data Science, Computational Mathematical Sciences, Biotechnology and Bioenterprise, Biology, Biological Sciences, Biochemistry and related

Years

-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics

Project # 268

Center name: Desert Botanical Garden - The Hernandez Lab
Campus/Location: Tempe
Faculty lead: Tania Hernandez

Project description

The Hernandez Lab at the Desert Botanical Garden is a collaborative team of researchers, students, interns, and volunteers dedicated to the study and conservation of desert plant biodiversity, with a particular focus on cacti and agaves, two of the plant groups under the highest threat of extinction. We integrate cutting-edge DNA sequencing and bioinformatic analyses with innovative conservation tools, an international network of collaborators, and a strong local community of committed volunteers to generate knowledge that guides the protection and long-term persistence of species. We believe plant conservation is both a scientific imperative and a shared responsibility, and our work centers on understanding genetic diversity, adaptation, and resilience in desert plants; especially in the face of climate change. Through mentorship, research, and hands-on programs such as the Saguaro Initiatives, we connect science, community, and action to safeguard desert ecosystems for future generations.

To learn more about our work, visit https://www.hernandezlab-dbg.com/

Project Location: Desert Botanical Garden and remote work

Special skills needed

Saguaros are more than symbols of the Sonoran Desert, they are living neighbors in our cities. From backyards and schoolyards to street medians and parks, thousands of saguaros live in urban landscapes. These urban saguaros tell a powerful story about how wildlife and people share space in a rapidly changing desert.

The Saguaro Initiatives at Desert Botanical Garden are a coordinated, community-driven effort to understand, protect, and secure the future of saguaros in urban environments, where climate change, extreme heat, and development are placing unprecedented stress on this iconic species.

** Saguaro Census Scientist Lead, Honors Student or Intern **
Each year, the Saguaro Census generates thousands of observations on saguaros and their health across the Phoenix Valley. Analysis of these data has already revealed critical patterns. For example, that saguaros in urban landscapes are declining rapidly due to development and increasing physiological stress. As a dynamic, growing program, the Saguaro Census continually evolves and requires ongoing data analysis and refinement. The information generated through this work is essential for developing science-based strategies to support the recovery and conservation of urban saguaros, and for understanding how they are affected by the urban heat island effect and climate change.
The Saguaro Census Scientist Lead conducts statistical analyses of census data, integrates climatic and weather datasets relevant to urban environments, prepares reports, and works closely with the Saguaro Census team to propose and implement improvements to the program.

Requisites:
- Background or strong interest in biology, ecology, environmental science, data science, or a related field
- Basic experience with data analysis, statistics, or programming (e.g., R, Python, Excel, or similar)
- Ability to work independently and collaboratively within a research team
- Strong organizational skills and attention to detail
- Access to a personal computer and reliable internet connection
- Availability of approximately 5–10 hours per week (with some seasonal flexibility)
- Ability to participate in a bi-weekly advisory meeting and a quarterly full-team meeting

Benefits:
- Hands-on experience analyzing real conservation and urban ecology data
- Training in statistical analysis and integration of climate and environmental datasets
- Mentorship from conservation scientists at Desert Botanical Garden
- Flexibility to work remotely / from home, with a schedule that can adapt to academic commitments
- Experience contributing to science-based conservation strategies for an iconic desert species
- Opportunities for authorship on scientific publications and presentation at conferences (based on contribution and commitment)
- Strong resume-building experience in conservation science, data analysis, and applied research

Majors

Biological Sciences, Biological Sciences (Conservation Biology and Ecology), Sustainability, Data Science, Computational Mathematical Sciences, Biology, Mathematics (Statistics) and related

Years

-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)

Themes

Cross-listed with the following themes:

Biological, Chemical, and Physical Sciences, Data Analytics and Mathematics, Sustainability