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Academic Senate - Minutes, 10/28/2025, Academic Senate

Academic Senate Minutes

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Executive Committee - Agenda, 10/21/2025, Academic Senate

Academic Senate Agendas

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Executive Committee - Minutes, 10/21/2025, Academic Senate

Academic Senate Minutes

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Creative Engagement With Ai Through Poetic Inquiry: A Posthuman Pedagogy, Amanda B. Deaton

Feminist Pedagogy

In this article, I describe an original teaching activity that explores the intersection of generative AI, poetic inquiry, and posthuman pedagogy, examining how students can critically and creatively engage with disruptive technologies. Using Rosi Braidotti’s posthuman framework (2013, 2019), I consider how generative AI might be used to challenge traditional notions of creativity, authorship, and knowledge production. Through a structured learning activity, students analyze a human poet’s work, generate AI-assisted poetry, and compose their own creative pieces, fostering non-linearity, memory and imagination, and defamiliarization—three key elements of Braidotti’s posthuman thinking. This pedagogical approach encourages ethical, affirmative engagement with AI, offering …

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Introduction: Facing The Challenge Of Ai With Feminist Pedagogy, Margaret A. Murray

Feminist Pedagogy

This special issue truly faces the challenge of AI with feminist pedagogy. The introduction briefly summarizes the five critical commentaries, five original teaching activities and three book reviews that make up this issue on AI.

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Atlas Of Ai: Power, Politics And The Planetary Costs Of Artificial Intelligence - Book Review, Jelena Popov

Feminist Pedagogy

No abstract provided.

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Book Review Of Baron, Naomi S.. Who Wrote This?: How Ai And The Lure Of Efficiency Threaten Human Writing, Vanessa G. Osborne

Feminist Pedagogy

No abstract provided.

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Review Of Ai Needs You: How We Can Change Ai’S Future And Save Our Own, Tracy A. Fernandez Rysavy

Feminist Pedagogy

AI Needs You: How We Can Change AI’s Future and Save Our Own urges citizens to band together now, while A.I. is still in its nascent stages, to head off its potentially destructive repercussions and ensure that the technology serves more than just a wealthy few. While such efforts might seem out of reach in our polarized society, author Verity Harding points to three cases from history where policy was heavily influenced by multistakeholder collaborations. This review encourages educators to use the book as a way to study business ethics; out-of-the-box thinking; and intersectional, inclusive consensus-building over a top-down approach.

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Creating Feminist Icons, Engaging With Feminist Concepts Via Ai, Regina M. Luttrell Ph.D., Carrie T. Welch M.A.

Feminist Pedagogy

The authors describe an undergraduate media diversity course assignment that integrates artificial intelligence (AI) to explore gender representation in media. Students engage in an activity where they use AI text-to-image generators to create fictional feminist icon characters. This activity is designed to complement discussions on AI bias and gender norms in media, prompting students to critically examine how AI tools reinforce or challenge stereotypes. By linking their experiences with AI-generated images to feminist theory, students gain a deeper understanding of intersectionality, representation, and media bias. The assignment is part of a class that traces feminist movements through pop culture media …

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Exposing Bias In Ai Art: A Hands-On Feminist Pedagogy Activity, Sheri-Lynn Kurisu, Emely Yanagida

Feminist Pedagogy

This Original Teaching Activity (OTA) introduces students to the biases embedded in AI-generated art, drawing from feminist critiques of the male gaze (Mulvey, 1975) and Emanuele Arielli’s artificial gaze (2024). AI technologies, often assumed to be neutral, frequently reproduce and amplify societal inequalities related to gender, race, and class. This activity engages students in a hands-on exploration of these biases by prompting AI art generators, analyzing the results, and reflecting on the implications of algorithmic bias. Through structured exercises, students compare their expectations with AI-generated images, identifying patterns of stereotyping and erasure. Classroom discussions focus on how AI’s aesthetic choices …

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Teaching About Abortion Access With Charley The Chatbot, Laura E. Willis, Kim O'Neill, Nicole Cushman

Feminist Pedagogy

Following the Dobbs v. Jackson Women's Health Organization (2022) decision which countermanded federal abortion protections, artificial intelligence (AI) can be used to identify, monitor, and track people seeking medical treatment. The teaching activity presented here asks students to consider data privacy concerns and the role of AI in seeking abortion care, before introducing them to Charley the Chatbot, an AI interface designed to protect and inform abortion seekers. Students interact with the chatbot based on a series of fictional vignettes about abortion seekers in various stages of pregnancy and geographic locations. Following a peer discussions, students examine both how restrictive …

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Prompting For Refusal: Teaching Against And Without Ai, Kate Maddalena, Aline Zara, Dan Guadagnolo

Feminist Pedagogy

This Original Teaching Activity describes two modules that enact feminist pedagogy to teach AI refusal, a set of lectures and associated activities which we developed for first-year courses during the 2023-2024 academic year. These activities invite students to refuse AI while also understanding its function and deployment. They explore the consolidations of power which make generative AI technologies both possible and harmful. Instead of presuming the inevitability of AI to replace working and learning or change the world, these activities offer students a materialist framework to refuse the hype, grounding their understanding of generative AI in its techno-political origins and …

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Viewing Ai From The Bottom: A Feminist Political Economic Critique Of A Technocentric Pedagogy, Micky Lee, Benita Dederichs

Feminist Pedagogy

A feminist political economic (FPE) perspective has a more profound concern than cheating: it argues that AI is not a neutral tool. AI constitutes social relations that prevent certain populations from fully participating in political, economic, and civic lives while obscuring unbalanced power relations produced and reproduced in a capitalistic society. This commentary first points out how AI may reinforce gender- and race-biased job stratification in the high-tech industry; and how AI disempowers women of color by locking them in a passive position. It offers some advice of what feminist educators could do to empower students.

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Embracing Uncertainty And Resisting Suspicion In The Faculty-Student Relationship, Natalia Rybas

Feminist Pedagogy

This critical essay discusses the suspicion and distrust appearing when educators think that students can (mis)use generative AI tools. The essay argues that education is rife with relations of inequality, reminds us that technologies are never neutral, and explores using uncertainty as a method of resistance to suspicion about students. The suspicion grows from the relations embedded in higher education because power, privilege, and oppression shape the experience of teaching and learning. Technological innovations, such as AI, carry power relations embedded in their designs and assumed uses, making all participants of the learning process vulnerable and disrupting the process itself. …

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Keep Searching For Stories: The Importance Of Student Historical Research In The Ai Era, Emily Westkaemper

Feminist Pedagogy

This critical commentary interprets the risk that increased reliance on AI will disrupt student researchers’ direct engagement with historical primary sources. Close analysis of primary source details supports feminist history and digital history approaches, helping researchers contextualize histories of marginalization and interrogate scholarly and popular narratives about the past. Search engines and databases can promote access to digitized documents. By contrast, large language models reflect contemporary biases and communication patterns, manufacturing general declarations about historical significance that do not prioritize digitized primary source materials. I experimented with AI queries about participants in the 1977 National Women’s Conference (NWC), a topic …

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Towards An Ecofeminist Pedagogy: The Environmental Ethics Of Ai, Jessica K. Crowell

Feminist Pedagogy

Previous scholarship has outlined some of the ethical considerations regarding the use of artificial intelligence (AI) in the classroom and beyond, such as the potentials for plagiarism, information bias, disinformation, or even violations of user privacy. Though research suggests that machine learning is a major and ever-increasing contributor to carbon emissions, there has been little discussion of how we teach about the ethics of AI from an environmental perspective. Therefore, this critical commentary first outlines how an ecofeminist pedagogy can help students consider the environmental and ecological effects of new technologies, including AI. At its core, an ecofeminist pedagogy argues …

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Teaching Oppositional Resistance To The Weaponization Of Artificial Intelligence In Acts Of Gendered Violence, Lili R. Romann, ElizabEth A. Hintz

Feminist Pedagogy

Meeting the aims of this special issue to take a uniquely feminist approach to understanding AI in higher education, we offer a critical commentary to help other scholars apply a critical feminist lens when teaching about the promise of artificial intelligence in the classroom. Specifically, we center pornographic deepfakes as a primal, contemporary, and disastrous example of the gendered weaponization of artificial intelligence. This critical commentary has staying power – equipping future teachers with feminist tools to tackle AI (as well as the inevitable future of AI to come) in pedagogical practice.

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Academic Senate - Agenda, 10/07/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

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Academic Senate - Minutes, 10/07/2025, Academic Senate

Academic Senate Minutes

No abstract provided.

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Spatially Resolved [O Iii] Emission Line Kinematics Of Reverberation-Mapped Active Galactic Nuclei With The Keck Cosmic Web Imager, Raymond P. Remigio, Vivian U, Aaron J. Barth, Nico Winkel, Vardha N. Bennert, Tommaso Treu, Matthew A. Malkan, Sebastian Contreras, Peter R. Williams, Jordan N. Runco

Physics

We present optical integral-field spectroscopic data of ten nearby (0.02 ≤ z ≤ 0.05) Seyfert 1 galaxies taken with the Keck Cosmic Web Imager. We map the spatially resolved kinematics of the [O iii] gas and stars, and investigate the alignments between their global kinematic position angles (PAs). Large-scale gas motions are primarily dominated by rotation and are kinematically aligned with the stars (ΔPA ≤ 30°). However, eight galaxies exhibit nonrotational kinematic signatures (e.g., kinematic twists, possible outflows) in their ionized gas velocity fields near the nucleus. We compare aperture-wide measurements of the gas and stellar velocity dispersions (σ …

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Development Of A Colorectal Cancer Spheroid Model To Improve The Accuracy Of Preclinical Drug Testing, Jillian Trilevsky

Master's Theses

Colorectal cancer is the second leading cause of cancer related deaths worldwide. It currently affects millions of people across the globe and is only expected to increase in impact over the coming years. The most common treatment for metastatic colon cancer is chemotherapy, however, the development of chemotherapeutic drugs is a long and expensive process. A large portion of this development process is spent in preclinical drug testing. However, the models used often lack enough physiological relevance to guarantee the drug’s success in a clinical trial. Due to this gap in testing, researchers seek to develop a more physiologically relevant …

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Accelerating Metal Extrusion Additive Manufacturing Process Development With Citrine Machine Learning Tools, Sam Moran, Andrea Patin, Tyler Seto, Cam Sherry

College of Engineering Summer Undergraduate Research Program

Material Extrusion (MEX) is a low-cost approach to metal additive manufacturing that involves extruding a metal-polymer composite filament to create a part comprised of polymer-bound metal powder, which is subsequently debound and sintered to produce a fully metal component. A major barrier to broader implementation of metal MEX is the time-intensive process for determining printing and sintering process parameters. To consistently produce sintered parts that satisfy geometric and materials properties requirements, trial-and-error experimentation is required to develop process parameters, correct shrinkage variability, and mitigate defects. This project aims to leverage Citrine Informatics’ machine learning (ML) tools to accelerate development of …

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Ai-Powered Accessibility Tracker For Inclusive Public Spaces, Yenny Ma, Kevin Beltran

College of Engineering Summer Undergraduate Research Program

This research project will develop and evaluate a smartphone-based, AI-powered system to crowdsource and analyze accessibility features and barriers in public spaces. Using computer vision and geospatial mapping, the system will identify and categorize issues such as uneven sidewalks, missing or inadequate curb ramps, damaged tactile paving, obstructive overhangs, and the absence of visual or auditory wayfinding cues. The overarching goal is to generate a dynamic, real-time accessibility map that empowers individuals with diverse mobility, sensory, and cognitive needs to navigate public spaces more safely and confidently. The project will integrate technologies and methods from applied machine learning, mobile computer …

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A Computational Approach To Space Trajectory Optimization, Cliodhna Mcguigan, Daniella Luciani

College of Engineering Summer Undergraduate Research Program

With space becoming increasingly accessible, the need for sophisticated space trajectory design has surged, as we challenging existing computational capabilities. This project tackles the intricate and computationally demanding task of spacecraft trajectory optimization and real-time orbit determination by developing and benchmarking advanced numerical algorithms integrated into Cal Poly’s mission design platform, PolySpace. Leveraging cutting-edge Python routines and interfaces with NASA’s General Mission Analysis Tool (GMAT), the research addresses mission-critical scenarios, including multi-gravity-assist interplanetary missions and efficient solar-electric orbit transfers. Benchmarking the solution approach against past missions, the project ensures rigorous accuracy and reliability. This experience will help bring research into …

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Multi-Material Printer Development, Jessica Hu, Phoebe Eplett

College of Engineering Summer Undergraduate Research Program

Surgeons require pre-surgical models to practice procedures and improve success rates. However, the current process of creating physical models for practice using 3D printing is limited to producing homogeneous mimics of the human body, while the human body is a heterogeneous structure composed of multiple materials with varying properties, including bones, muscles, and skin. Additive manufacturing methods cannot easily print multiple materials simultaneously, as current AM machines only print homogeneous material, unlike the human body. In this proposal, we aim to develop a multi-material additive manufacturing system, from software to hardware, to manufacture pre-surgical models. We will investigate multi-material AM …

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Developing Practical Cfd Skills For Undergraduate Researchers, Max Koerner, Sebastian Macias-Gonzalez

College of Engineering Summer Undergraduate Research Program

As the use of computational fluid dynamics (CFD) grows in the aerospace (and other engineering disciplines), the need for coursework, and in particular labs, that develop the appropriate CFD skills is growing. In the semester transition, the Aerospace Engineering Department will be offering an applied computational aerodynamics class that will have a heavy emphasis on practical CFD applications to realistic problems to be encountered by our students. This research activity will help develop labs that will be used to teach students how to use StarCCM+ (the department’s current commercial CFD tool) starting from simple geometries going up to complete airframes. …

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Surp: Space Robotics Laboratory Lab Manuals And Experiment Development, Connell Crawford

College of Engineering Summer Undergraduate Research Program

This SURP project is focused on the preparation of the lab, experiments, and operation procedures necessary for the proposed equipment in the Space Robotics Lab. As such, the primary goal is to create safety and test documentation that shall be used in the lab. Students selected for this project shall gain a hands-on learn-by-doing with equipment that is intended for teaching and research of a simulated planar space test environment for an air-bearing vehicle test bed to be able to test sensors, actuation and deployment of mechanisms, spacecraft collaboration through closed loop control, as well as experimental propulsion systems.

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Evaluating Machine-Learning Models For Drone-Based Image Analysis Of Coastal Ecosystem Dynamics, Katharine Mcdaniel, Pragati Toppo

College of Engineering Summer Undergraduate Research Program

Previous work from our group utilized drone-based images and a novel machine learning classification model to quickly and accurately quantify spatial variability in eelgrass in Morro Bay. In this SURP project we aim to develop and evaluate quantifiable estimates of the model’s prediction uncertainty. Our model produces a binary labeling indicating the presence or absence of eelgrass at each pixel. However, internally the model produces a probabilistic output indicating the likelihood of detection at each pixel that we propose to use to produce uncertainty estimates and a confidence interval for the cumulative extent of eelgrass detected. This would allow for …

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Design Of Ballistic Armor Using Multi-Composite Sandwich Structures With Nanomaterial Additives, Carmen Alaichamy

College of Engineering Summer Undergraduate Research Program

This study explores the bulletproof capabilities of Kevlar composites fabricated using advanced additive manufacturing techniques. Continuous fiber reinforced 3D printing (CFRP) is employed to produce Kevlar-reinforced polymer matrix composites (PMCs) with optimized structural configurations for ballistic protection. The primary objective is to evaluate the impact resistance of these composites against 9mm projectiles through systematic experimental testing. A series of ballistics tests are conducted using a high-velocity gas-gun system to fire 9mm projectiles at varying speeds angles. The tests will be conducted at the San Luis Obispo Range, with projectiles fired at various angles. The effects of fiber volume fraction, reinforcement …

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Will Labor-Saving Automation Save Western Agriculture?, Lynn Hamilton, Bryan Lohmar, Michael Mccullough

Agribusiness

Among the most salient and intractable challenges facing labor-intensive western agriculture is the rapidly rising cost of labor, driven primarily by reduced availability of workers. Unlike field grains, oilseeds, and cotton, producers of fresh fruit and vegetables still rely extensively on hired manual labor to carry out multiple tasks, particularly harvesting. Nearly one third of total U.S. agricultural labor expenses occur in California alone, a state dominated by fruit, vegetable and horticultural (FVH) crops (Win, Rutledge, and Maredia, 2024). To address the rising cost of labor, producers have been adopting several innovations leading to automated irrigating, weeding, and crop protection …

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Full-Text Articles in Entire DC Network

Academic Senate - Minutes, 10/28/2025, Academic Senate

Academic Senate Minutes

Executive Committee - Agenda, 10/21/2025, Academic Senate

Academic Senate Agendas

Executive Committee - Minutes, 10/21/2025, Academic Senate

Academic Senate Minutes

Creative Engagement With Ai Through Poetic Inquiry: A Posthuman Pedagogy, Amanda B. Deaton

Feminist Pedagogy

Introduction: Facing The Challenge Of Ai With Feminist Pedagogy, Margaret A. Murray

Feminist Pedagogy

Atlas Of Ai: Power, Politics And The Planetary Costs Of Artificial Intelligence - Book Review, Jelena Popov

Feminist Pedagogy

Book Review Of Baron, Naomi S.. Who Wrote This?: How Ai And The Lure Of Efficiency Threaten Human Writing, Vanessa G. Osborne

Feminist Pedagogy

Review Of Ai Needs You: How We Can Change Ai’S Future And Save Our Own, Tracy A. Fernandez Rysavy

Feminist Pedagogy

Creating Feminist Icons, Engaging With Feminist Concepts Via Ai, Regina M. Luttrell Ph.D., Carrie T. Welch M.A.

Feminist Pedagogy

Exposing Bias In Ai Art: A Hands-On Feminist Pedagogy Activity, Sheri-Lynn Kurisu, Emely Yanagida

Feminist Pedagogy

Teaching About Abortion Access With Charley The Chatbot, Laura E. Willis, Kim O'Neill, Nicole Cushman

Feminist Pedagogy

Prompting For Refusal: Teaching Against And Without Ai, Kate Maddalena, Aline Zara, Dan Guadagnolo

Feminist Pedagogy

Viewing Ai From The Bottom: A Feminist Political Economic Critique Of A Technocentric Pedagogy, Micky Lee, Benita Dederichs

Feminist Pedagogy

Embracing Uncertainty And Resisting Suspicion In The Faculty-Student Relationship, Natalia Rybas

Feminist Pedagogy

Keep Searching For Stories: The Importance Of Student Historical Research In The Ai Era, Emily Westkaemper

Feminist Pedagogy

Towards An Ecofeminist Pedagogy: The Environmental Ethics Of Ai, Jessica K. Crowell

Feminist Pedagogy

Teaching Oppositional Resistance To The Weaponization Of Artificial Intelligence In Acts Of Gendered Violence, Lili R. Romann, Elizab​Eth A. Hintz

Feminist Pedagogy

Academic Senate - Agenda, 10/07/2025, Academic Senate

Academic Senate Agendas

Academic Senate - Minutes, 10/07/2025, Academic Senate

Academic Senate Minutes

Spatially Resolved [O Iii] Emission Line Kinematics Of Reverberation-Mapped Active Galactic Nuclei With The Keck Cosmic Web Imager, Raymond P. Remigio, Vivian U, Aaron J. Barth, Nico Winkel, Vardha N. Bennert, Tommaso Treu, Matthew A. Malkan, Sebastian Contreras, Peter R. Williams, Jordan N. Runco

Physics

Development Of A Colorectal Cancer Spheroid Model To Improve The Accuracy Of Preclinical Drug Testing, Jillian Trilevsky

Master's Theses

Accelerating Metal Extrusion Additive Manufacturing Process Development With Citrine Machine Learning Tools, Sam Moran, Andrea Patin, Tyler Seto, Cam Sherry

College of Engineering Summer Undergraduate Research Program

Ai-Powered Accessibility Tracker For Inclusive Public Spaces, Yenny Ma, Kevin Beltran

College of Engineering Summer Undergraduate Research Program

A Computational Approach To Space Trajectory Optimization, Cliodhna Mcguigan, Daniella Luciani

College of Engineering Summer Undergraduate Research Program

Multi-Material Printer Development, Jessica Hu, Phoebe Eplett

College of Engineering Summer Undergraduate Research Program

Developing Practical Cfd Skills For Undergraduate Researchers, Max Koerner, Sebastian Macias-Gonzalez

College of Engineering Summer Undergraduate Research Program

Surp: Space Robotics Laboratory Lab Manuals And Experiment Development, Connell Crawford

College of Engineering Summer Undergraduate Research Program

Evaluating Machine-Learning Models For Drone-Based Image Analysis Of Coastal Ecosystem Dynamics, Katharine Mcdaniel, Pragati Toppo

College of Engineering Summer Undergraduate Research Program

Design Of Ballistic Armor Using Multi-Composite Sandwich Structures With Nanomaterial Additives, Carmen Alaichamy

College of Engineering Summer Undergraduate Research Program

Will Labor-Saving Automation Save Western Agriculture?, Lynn Hamilton, Bryan Lohmar, Michael Mccullough

Agribusiness

Teaching Oppositional Resistance To The Weaponization Of Artificial Intelligence In Acts Of Gendered Violence, Lili R. Romann, ElizabEth A. Hintz