Discovery Scholars

Faculty Mentor: Amaya Garcia Costas, PhD Associate Professor of Biology

Title: Isolation and characterization of bacteriophage that infect Actinobacteria.

Project Details: Bacteriophage (phage) are a type of virus that infect only bacteria. Although invisible to the eye, they are thought to be the most abundant biological entities on Earth, with some estimates indicating that there are 10^31 phage in the planet. Incredibly, phage are estimated to kill as much as 40% of the ocean's bacteria every day; they can also be used to fight multi-drug resistant bacteria. CSU-Pueblo students will work on a phage related project in collaboration with the Howard Hughes Medical Institute. For example, they might sample local habitats and isolate bacteriophage using microbiology techniques such as the plaque assay and characterize their phage using electron microscopy and molecular biology approaches such as DNA isolation and restriction enzymes. Genomes of selected phage can be sequenced with CSU-Pueblo students manually curating every gene in the genome using bioinformatic tools such as BLAST and HHPred, and gene annotating programs such as Glimmer. Other projects include the characterization of the infectious cycle of selected bacteriophage, e.g. lytic or lysogenic cyces, superimmunity properties of lysogenic phage, or exploring phage gene product interactions with host bacteria proteins. In all projects, students are taught standard molecular and microbiology lab techniques such as pipetting and aseptic technique as well as how to keep a lab notebook. The bioinformatics component includes introductions to common search engines and genetic databases.

Faculty Mentor: Dr. Cassidy Dobson Associate Professor of Chemisty 

Title: Chaperoning Potential of Disulfide Bond Forming Enzyme

Project Details: Understanding protein folding is essential in biochemical research. Several diseases are a result of incorrect protein folding and can ultimately lead to the formation of protein aggregates such as Alzheimer’s, Parkinson’s and ALS. Chaperone proteins can assist proper protein folding as a protein matures, but once protein aggregates form generally, they cannot be renatured to their individual, correct structure. Disulfide bond forming (DBF) enzyme is a chaperone protein related to the class of Sso7d proteins from the hyperthermophilic bacteria Sulfolobus solfataricus. These proteins have demonstrated the unique ability to renature proteins from pre-formed protein aggregates. In addition, DBF has been shown to specifically refold proteins with incorrectly made disulfide bonds. Disulfide bonds in protein folding present a more complicated arrangement because of their redox bond formation, which has been shown to only be rearranged in the presence of chaperones that themselves contain cysteine residues. DBF is unique to the class of disulfide chaperones in that it does not contain cysteine amino acids, thus presenting a new and different mechanism of disulfide bond rearrangement. We seek to understand the mechanism of action DBF utilizes and apply this mechanism to a variety of different protein aggregates including those responsible for cataract formation and Alzheimer’s disease.

Faculty Mentor: Claire Ramos, PhD, Professor of Biology

Title: Impacts of Climate Change on Migratory Songbirds

Project Details:  Conservation of migratory songbirds can be particularly challenging as these animals require three distinct habitats for successful completion of their life cycle: breeding habitat, wintering habitat, and migratory habitat. The migratory phase of the life cycle of these animals may be the most critical as migratory behavior is physiologically stressful and dangerous. This was demonstrated by a mass migratory songbird die-off that occurred in Sept. 2020 in the southwestern United States. Thousands of dead migratory birds were found over the span of just a few days. It is thought that this die-off was a result of a lethal combination of drought conditions reducing food availability, poor air quality caused by wildfires, and a freak snowstorm. Migratory banding stations can provide valuable information to better understand the threats that birds face during migration. Migratory songbirds will be captured at local field sites in areas heavily used by migrating birds. We will use mist-nets to capture the birds and take various measurements to determine overall physiological condition of the birds. A subset of birds will be tagged with telemetry units to track them during their migration. Birds will then be released to continue their migration. The physiological status and survival during migration will be correlated with environmental conditions, such air quality and drought conditions, that the birds experience during their migration. Data from the project can be used to understand how birds are impacted by the changing environment and identify species that may be at greater risk from environmental change.

Faculty Mentor: Dr. Daryl Trumbo, PhD, Assistant Professor of Biology

Title: Investigating Amphibian Distributions and Disease Dynamics of Amphibians in Southeast Colorado, USA

Project Details: Amphibians are a threatened group of vertebrate animals worldwide, often due to habitat loss, pollution, and wildlife diseases. We are investigating amphibian distributions in southeast Colorado, USA, as well as testing for diseases such as Chytridiomycosis (caused by the chytrid fungus Batrachochytrium dendrobatidis, or Bd). Students in my lab will learn to perform nighttime amphibian surveys, capture and swab amphibians for Bd in the field, and perform laboratory analyses to detect the presence and load of Bd on native amphibians. We also perform GIS (Geographic Information Systems)-based analyses on spatial patterns of amphibians and their diseases, and present our findings at local wildlife-based research conferences. I encourage students to join my lab who like to hike (oftentimes at night with flashlights!) and who want to learn lab skills such as DNA extractions and qPCRs.

Faculty Mentor: Dr. Fran Sandmeier, PhD, Associate Professor of Biology

Title: understanding the role of B1 lymphocytes in immunology

Project Details: The purpose of this research is to understand the functions of a type of lymphocyte (B1) that is a common immune cell in all ectothermic vertebrates (fish, amphibians, and reptiles). We will isolate these cells from small blood samples taken from our captive Mojave desert tortoises. We will incubate them in assays to quantify their ability to kill different species of bacteria. The product of this research in 2026/27 will be a student-designed poster, presented at CSUP’s annual research symposium. The eventual product of this research will be a peer-reviewed publication.

Faculty Mentor: Himadri Sen Gupta, Ph.D., Assistant Professor of Industrial Engineering, School of Engineering, Colorado State University Pueblo

Title: Multi-Agent Artificial Intelligence for Wildfire Emergency Decision Support in Southern Colorado

Project Details: Wildfire is the most significant natural hazard facing Southern Colorado. When a fire threatens a community, emergency managers must rapidly assess fire progression, identify at-risk populations, evaluate evacuation routes, and coordinate shelter logistics, often drawing on fragmented information under severe time constraints. This project investigates whether a structured artificial intelligence system can improve the speed and reliability of this process. The proposed system consists of multiple AI "agents," each assigned a specialized role analogous to a member of an emergency response team. A hazard monitoring agent processes fire behavior and weather data. A community vulnerability agent identifies populations with elevated risk based on demographic and geographic factors. A logistics agent evaluates road network conditions and evacuation options. A coordinating agent synthesizes their outputs into an integrated summary for human decision-makers. The system is designed as a research tool, not a deployment-ready product. Its purpose is to evaluate, under controlled experimental conditions, whether role-specialized AI agents produce more accurate and timely situation assessments than a single general-purpose model, and to identify failure modes that would need to be addressed before any operational use. Student researchers will assemble a publicly available wildfire, weather, road network, and community vulnerability dataset for Southern Colorado counties, construct the multi-agent system in Python, develop a benchmark of fifty test scenarios grounded in historical Colorado wildfire events, and evaluate system performance. 

Faculty Mentor:  Dr. Mario Izaquirre Sierra, Assistant Professor Biology  

Title: Molecular Genetic Analysis of Biomolecular Condensates in Land Plants

Project Details: The focus of my laboratory centers on elucidating the structural and functional significance of the Cajal body (CB) and the nuclear architecture in the cell. For this, we are using Arabidopsis and the moss Physcomitrella patents as model systems. Both are simple and inexpensive tools to teach basic genetics and molecular biology concepts in the laboratory. Our primary research questions are: how does the Cajal body subnuclear structure shape development and cell architecture in plant cells? how is the Cajal body composition, assembly and dynamics controlled during a/biotic stresses and disease? To answer these questions, we are using a robust molecular genetics, genomics and biophysics approach, combined with in vivo fluorescent microscopy to investigate the structure and function of CBs. Altogether, the educational plan of this application will allow me to: i) train undergraduate students in the laboratory, enabling them to acquire and use requisite skills to perform a variety of meaningful experiments, ii) give them exposure to cutting-edge research in the fields of nuclear dynamics and cell and quantitative molecular biology of plants, iii) to encourage them to pursue careers in the biological field as well as to iv) strengthen the biological research capacity at CSU-P. Ultimately, we would like to use our fundamental discoveries to understand how this intriguing subnuclear compartment regulates basic plant physiology, development and responses to a/biotic stresses. Moreover, we seek to apply our basic research for crop improvement and/or therapeutic benefits to human health.

Faculty Mentor: Max Wallace, PhD., Assistant Professor - Department of Chemistry

Title: Exploring the Structure, Color, and Luminescence of Inorganic Compounds

Project Details: Our research group explores luminescent solid-state materials and pigments, focusing on their structural and optical properties for advanced applications. Luminescent materials emit light when excited and are used in LEDs, lasers, sensors, and display technologies. Solid-state pigments provide vibrant colors in coatings, ceramics, paints, and security inks. Despite significant progress, key factors such as temperature effects and particle size/morphology remain underexplored. For instance, how does cooling a luminescent material or inorganic pigment below -100 °C affect its atomic structure? How does this impact its optical properties? Understanding these structure-property relationships is crucial, especially for applications in extreme environments like space exploration, where performance under harsh conditions is not well studied.

Our research aims to advance fundamental knowledge and optimize material properties. Each project is tailored to students academic levels and interests, providing hands on experience in synthesis, property measurement, and data analysis using techniques such as structural analysis, elemental analysis, and optical spectroscopy. We welcome any STEM student, notably those in chemistry, physics, or engineering. Students present their work at the CSUP symposiums and contribute to national and international conferences and publications. Several members of our research group have presented their work at American Chemical Society national conferences, while others have completed Research Experiences for Undergraduates (REUs) at R1 universities and have continued their academic journey by pursuing PhD programs.

Faculty Mentor: Saqib Gulzar, Ph.D.; Assistant Professor and Research Director, Southern Colorado Institute of Transportation Technology, Colorado State University Pueblo.

Title: Transportation Research for Safer Infrastructure and Communities

Project Details: This project will engage undergraduate students in applied transportation engineering research focused on traffic safety, transportation infrastructure, and community-based mobility needs. The purpose of the project is to introduce students to real-world engineering problems while helping them develop basic research, data analysis, communication, and problem-solving skills. Students will support activities related to transportation safety education, local traffic safety trends, and the performance of transportation infrastructure. The project will emphasize practical learning through teamwork, field-oriented discussion, data analysis, and preparation of clear visual summaries. Student researchers will gain early exposure to how transportation engineers improve safety, support infrastructure performance, and serve communities through applied research. 

Faculty Mentor: Trung Duong Associate Professor and Engineering Lab Director

Title: Colorado wildlife detection using deep learning

Project Details: An estimated 450,000 mule deer, 250,000 elk, and another 100,000 of pronghorn, bear, and mountain lion call Colorado home. Highways and roads pose barriers to wildlife’s migration patterns, leading to unwanted, costly, and sometimes fatal interactions between motorists and wildlife. Approximately 3,500 wildlife-vehicle collisions (WVCs) are reported annually by law enforcement. Conversely, CDOT’s carcass collection data suggest that the number of WVCs is at least double because not all collisions are reported to law enforcement. WVC happen all over the state regardless of rural, urban, mountainous, or plains regions. While wildlife crossing structures and fencing are effective ways to keep wildlife off the roadway, they are often cost-prohibitive due to topography and roadway alignments. Because of these issues, CDOT regularly uses static or continuous flashing wildlife signs to warn drivers of animal crossing hotspots.

The research goal is to build COTAD, the AI model that reliably detects Colorado wildlife (mule deer, elk, pronghorn, bear, and mountain lion), vehicles, and pedestrians from bi-spectral (optical + IR & thermal) camera-feeds in real-time. Ultimately the Model would be able to used across the state in a larger context, where COTAD would be paired with a dynamic wildlife warning system to alert motorist to minimize the WVCs problems.

Faculty Mentor: Zhidong Su, Assistant Professor

Title: AI-Assisted Proactive Companion Robot

Project Details: This project will study how artificial intelligence can help a companion robot recognize simple home situations and determine when a helpful reminder or suggestion may be appropriate for older adults. The project will focus on two questions: (1) What common daily home situations can be identified from a small set of household activity data? and (2) How well can simple rule-based and AI-assisted methods identify situations in which a robot may provide helpful support? Students will help build a simple home-environment dataset for continuous robot observation using simulated daily household activities. They will collect, organize, and annotate the data with the current robot observation frame description, and whether the situation may require robot assistance. After annotation, students will use simple analysis methods, such as rule-based analysis, spreadsheet-based summaries, Python tools, and AI agent tools, to examine the data, identify common patterns, and compare basic approaches for recognizing situations in which robot assistance may be useful. 

Faculty Mentor: Aaron Johnson, Ph.D. Lecturer of Sociology and Coordinator, Cannabis Studies Minor

Title: Southern Colorado Cannabis Industry Ethnography (SCCIE)

Project Details: The Southern Colorado Cannabis Industry Ethnography (SCCIE) is an ongoing qualitative research project examining the lived experiences of workers in Southern Colorado's legal cannabis industry. Using participant observation, in-depth interviews, and analysis of industry discourse, the project explores how cannabis workers understand their occupations, navigate workplace challenges, and construct professional identities within a rapidly evolving and often stigmatized field.As an inductive ethnographic project, research themes emerge from participants' experiences and perspectives. Current areas of inquiry include the "dirty work" of cannabis labor and the strategies workers use to manage stigma, as well as the emerging "wisdom of weed workers," which examines how frontline employees develop, share, and apply experiential knowledge in their interactions with customers, coworkers, and the broader community.

Student scholars participate in all phases of the research process, including participant recruitment, qualitative interviewing, transcription, data analysis, and dissemination of findings. Through these experiences, students gain hands-on training in sociological research methods while contributing to a growing body of scholarship on work, identity, knowledge, and social change in the legal cannabis industry.

Faculty Mentor: Carla Zimmerman, PhD Associate Professor of Psychology

Title: Students' Academic Use of Generative AI

Project Details: As generative AI use rapidly becomes more widespread, much attention has been paid to the consequences of generative AI use for student learning. In addition to affecting how students learn content, using generative AI may also impact how students seek help with their courses. The purpose of this study is to explore the association between GenAI usage in university students and the likelihood of seeking help from academic resources, including classmates, professors, and tutoring services. 

Faculty Mentor: Dr. David Volk, Professor of Music and Director, CSU Pueblo Center for Honors and Leadership
Composition Performance  

Title: Compose and perform your own music

Project Details: Student will work within this group to help each other compose, produce, and record their own music in a live performance. Students will have a unique opportunity to be a part of the full creative activity of music making on a personal level and at a high level of personal achievement. 

Faculty Mentor: Eddie Lucero, PhD, Assistant Professor of Political Science

Title: Where's My Dropbox?: Understanding Voter Turnout in Colorado Elections

Project Details: How does the accessibility of ballot drop boxes in vote-by-mail election systems affect electoral participation? As states such as Colorado have transitioned to universal vote-by-mail, scholars and election administrators increasingly emphasized the importance of ballot drop box placement, given that drop boxes are a popular and convenient method for voters to return their ballots. Despite their growing use, there is limited systematic evidence on how drop box accessibility influences voter participation. This project uses original data from the Colorado 2024 general election to examine how ballot drop boxes are allocated across electoral jurisdictions and how their placement affects voter turnout across demographic and geographic subgroups. Students will assist in collecting demographic and fiscal data related to election administration across Colorado's 64 counties. These data will be integrated with two additional datasets: a geocoded dataset of ballot drop boxes, Voter Service and Polling Centers, and ballot drop-off locations, and the 2024 Colorado voter file. Using descriptive statistics and generalized linear models, the project will investigate the placement of ballot drop-boxes by analyzing demographic and geographic features of each ballot drop box location and how voters' proximity to drop boxes shapes the latter's usage and broader patterns of electoral participation. Expected deliverables include a research manuscript prepared for submission to a peer-reviewed academic journal and a set of student research posters replicating components of the analysis within individual Colorado congressional districts for presentation at CSUP’s research symposium

Faculty Mentor: Dr. Heidi Reynolds-Stenson, Associate Professor of Sociology and Criminology

Title: Black Lives Matter Protest and Police Reform

Project Details: To explore the impact of local Black Lives Matter (BLM) mobilization on local police reform and police violence, we have completed extensive original data collection on 475 U.S. cities covering 2010-2024, including data on: 3,359 local BLM protests, 1,584 organizations present at local BLM protests, 13 different local policing reforms collected from over 2,500 use of force policy manuals received from police departments, and 3,671 police involved homicides, as well as data on over 35 control variables on each city including population size, political climate, and the party affiliation, gender, and race of the mayor. We are now using the resulting dataset to explore a number of research questions, with at least 10 articles already planned or in progress. New research assistants will have the opportunity to use the dataset to answer specific questions of interest to them and learn skills in data management, quantitative data analysis, literature review, and manuscript preparation and publication

Faculty Mentor: Shahrzad Dadgar-Assistant Professor of Media and Entertainment - Independent Producer and Filmmaker

Title: Love on the Rocks (3 minutes TV pilot show)

Project Details: This project focuses on the development and production of a short-form television pilot based on the original scripted series Love on the Rocks, set in Colorado. The purpose of the project is to explore how narrative structure, character development, and visual storytelling function in episodic television formats, while introducing students to collaborative media production workflows.

Students will work with a completed script to produce a 3-minute proof-of-concept pilot. The project combines practice-based research and creative production methods. Students will participate in pre-production planning (casting support, shot lists, scheduling), production (camera, sound, and directing assistance), and post-production (editing, pacing, and audience-focused storytelling decisions). In parallel, students will reflect on storytelling choices and audience engagement, analyzing how tone, performance, and visual style shape viewer perception in short-form television. The final outputs will include a completed 3-minute pilot scene, a presentation at the Spring Research Symposium, and a short reflective report documenting the creative process and audience considerations. This project is designed to be accessible to early undergraduate students while providing hands-on experience in television production and storytelling.

Faculty Mentor: Yunhan Zhao Ph.D., Assistant Professor of Criminology.

Title: Corruption Sentencing in China: Defendant Characteristics and Sentencing Disparities.

Project Details: his study examines corruption sentencing in China in the early years of President Xi Jinping’s anti-corruption campaign. Launched in 2012, the campaign became one of the largest anti-corruption efforts in the history of the Chinese Communist Party, with disciplinary inspection and supervisory agencies investigating millions of cases nationwide. Despite its scale, limited empirical research has examined the sociodemographic characteristics of defendants formally prosecuted for corruption-related offenses or whether sentencing outcomes vary across these characteristics.

Drawing on court decisions from 2013 published on China Judgments Online, this study analyzes the backgrounds of defendants in corruption cases and assesses variation in sentencing outcomes, including sentence type and sentence severity. The dataset was compiled using automated programs supported by large language models to identify, extract, and structure key information from judicial documents. The analysis will use descriptive statistics to summarize defendant and case characteristics, followed by statistical models to examine whether sentencing outcomes differ across sociodemographic groups.
The project will produce a cleaned and analyzable dataset, empirical tables and visualizations, and a scholarly paper or conference presentation. Future stages will expand the dataset to include cases from 2014 to 2020, allowing for a broader assessment of corruption prosecution and punishment throughout the anti-corruption campaign.

Health Science

Faculty Mentor: Miguel Narvaez, PhD. Assistant Professor, School of Health Sciences and Human Movement

Title: Effect of different shoe types on knee valgus during Drop Jump Tests in Female Volleyball Players

Project Details: The purpose of this research is to describe differences, if any, in knee valgus while wearing different types of shoes performing a drop jump. Female participants in sports like volleyball are 4 to 6 times more likely to sustain serious knee injuries (e.g., anterior cruciate ligament) compared to males participating in the same sports. Neuromuscular factors are related to these injuries, which include knee stability and knee valgus. Hence, we will be measuring knee valgus during a landing task with different shoes to weigh in the effects the shoe has on knee valgus while performing this task.

The proposed population for the study is Division II female collegiate volleyball players without injuries to the lower extremities that will prevent them from performing the drop jump protocol. Participants will be recruited from CSUP’s volleyball varsity team via email, flyers, handouts and by attending team meetings; Informed Consent and Demographic forms will be collected from participants. Each participant will perform three drop jump tests in their game shoes, three tests in practice shoes, and three tests barefoot (9 trials total), which will be recorded using a 120 frames per second high-speed motion camera. Each drop jump consists of the participant stepping directly off a bench onto the floor using a soft-landing. To achieve the optimal angle for data collection, the recording camera will be placed in the frontal plane of the participant to observe the greatest valgus of the knee.

Faculty Mentor: Dr. Ryland Townsend, CSCS

Title: Mental and Physical Health of College-Aged Cannabis Users Compared to Non-Users

Project Details: Cannabis use among college-aged adults has become increasingly common, especially here in Colorado; however, its relationship with physical fitness, cardiovascular health, and psychological well-being is understudied and rather unclear. This study aims to compare selected mental and physical health indicators between college-aged cannabis users and non-users.

Participants will complete a series of assessments designed to evaluate both physiological and psychological health. Physiological measures will include resting blood pressure, resting heart rate, and aerobic fitness assessed through a maximal oxygen consumption (VO₂ max) test using a metabolic cart. Psychological measures will include validated questionnaires assessing perceived stress and overall wellness. Using a cross-sectional design, data will be collected from college-aged adults and analyzed to identify potential differences between individuals who regularly use cannabis and those who do not. Findings from this study may contribute to a better understanding of how cannabis use is associated with cardiovascular health, fitness, stress, and well-being in young adults. Participation involves a single testing session consisting of questionnaire completion, cardiovascular measurements, and a supervised VO₂max assessment. The results of this research may help inform future studies examining the health implications of cannabis use and provide valuable information for health professionals, educators, and college students.

Education

Faculty Mentor: Dr. Vicki Boley, PhD, Assistant Professor | College of Health and Education | School of Education 

Title: Teaching as Interpretive Craft: Preservice Teachers’ Development of Pedagogical Awareness and Creative Responsiveness

Project Details: This Discovery Scholars project invites undergraduate students in the School of Education to participate in a qualitative inquiry examining how preservice teachers develop pedagogical awareness and creative responsiveness as they learn to design and enact meaningful teaching. Grounded in the understanding that teaching is not simply the application of strategies, but an interpretive and relational craft, this project explores how future educators make sense of students, curriculum, classroom context, and their own emerging teacher identities.

Student researchers will be mentored through key phases of the qualitative research process, including reviewing relevant literature, developing interview questions/data collection methods, collecting and analyzing data, and preparing findings for presentation. Data may include semi-structured interviews with preservice teachers, course artifacts such as lesson plans and reflections, and optional creative or nontraditional representations of teaching and learning. Through this work, student researchers will gain hands-on experience with ethical research practices, qualitative methods, thematic analysis, and scholarly dissemination. Toward a deeper understanding of how preservice teachers cultivate the habits of noticing, interpreting, adapting, and responding that are so central to responsive teaching, this project invites Discovery Scholars to actively experience and reflect on the bridge between theory/research and practice/teaching!

Faculty Mentor: Heather Kuykendall, DNP, MSN-Ed, RN

Title: What Drives Nursing Student Success? Exploring Factors that Influence Engagement and Academic Achievement

Project Details:  Student engagement is a critical factor in academic success, retention, and progression in nursing education. However, engagement is influenced by a variety of academic, social, emotional, and environmental factors that are not fully understood from the student perspective. The purpose of this project is to identify factors that promote or hinder engagement and academic success among CSUP undergraduate nursing students.

Discovery Scholars will work collaboratively with a faculty mentor to design and conduct research into factors that impact academic success among CSUP undergraduate nursing students. During this project, student researchers will conduct a review of the literature into student success among nursing students. Based on this evidence, students will construct a research study to explore factors specific to the success of nursing students at CSUP. Research skills gained may include library search skills, survey construction and analysis, coding of themes from journaling prompts, etc. Discovery Scholars will use the results of their research to make recommendations on how to strengthen student engagement of the undergraduate nursing students at CSUP. Project outcomes will include a research poster presented at the CSU Pueblo Spring Research Symposium and dissemination of findings to School of Nursing faculty.

Faculty Mentor: Roohid Ahmed Syed PhD in Business administration

Title: Assistant Professor of Computer Information Systems

Project Details: The world is undergoing change at an unprecedented pace due to advancements in Artificial Intelligence (AI). From politics to finance and from healthcare to art, few aspects of human life remain untouched by the AI revolution. As agentic AI models are being deployed across various phases of the Software Development Life Cycle (SDLC), software development practice is undergoing tremendous change in recent years. Also, as corporations are increasingly adopting AI across their business processes, governments worldwide are attempting to regulate its implementation. New corporate laws governing AI usage are being introduced, while existing laws are being amended to accommodate the growing adoption of AI. Furthermore, AI is being extensively used for political activism. AI-generated media is increasingly employed to disseminate political messages across the political spectrum. The goal of this paper is to present a systematic literature review of the impact of AI on three domains: software development, corporate law, and political activism. We use the PRISMA methodology to conduct the systematic literature review and highlight significant research conducted in these domains. In addition, we perform a bibliometric analysis to map the existing body of research and identify gaps in the literature that future researchers can address.