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30 Tips, Tricks, And Ways To Use Your New Intern Called Ai, Dave Thurston Nov 2025

30 Tips, Tricks, And Ways To Use Your New Intern Called Ai, Dave Thurston

Civil Engineering Professional Development Seminar

A way to use Artifical intelligence in meaningful ways. The presentation will show a variety of different ways to “simply” use AI to get your first draft 80% there, to treat as a sounding board, and to look for patterns and “unnoticable items” in data, text, and designs.

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Characterization Of River Discharge And Interaction With Shallow Groundwater Aquifers Along The Wabash River Using Seismological Methods, Jessica M. Cyr, Xiaotao Yang, Marty D. Frisbee Nov 2025

Characterization Of River Discharge And Interaction With Shallow Groundwater Aquifers Along The Wabash River Using Seismological Methods, Jessica M. Cyr, Xiaotao Yang, Marty D. Frisbee

Discovery Undergraduate Interdisciplinary Research Internship

The interaction between shallow aquifers and local rivers in the West Lafayette, Indiana area remains poorly understood. While surface water levels in the Wabash River and its tributaries are monitored at several USGS stream gauges, groundwater fluctuations are less well documented. Methods using seismic recordings, sensitive to subtle ground vibrations and subsurface structure, provide an alternative to characterize groundwater levels and river discharge. This project analyzes the temporal variations of ambient noise seismic data, examining the relationship to USGS river discharge, precipitation records, and other environmental factors. We currently focus on 1) changes in maximum amplitudes and peak frequencies within …

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The Transitional Human Being: Literary, Journalistic, And Cinematographic Representations Of The Twentieth- And The Twenty-First-Centuries Italy, Ron Kubati Nov 2025

The Transitional Human Being: Literary, Journalistic, And Cinematographic Representations Of The Twentieth- And The Twenty-First-Centuries Italy, Ron Kubati

Purdue Studies in Romance Literatures

This book analyzes the crisis of the idea of human being based on timeless notions, in the Euroamerican context, as seen primarily through literature and cinema. It focuses on Italy, which has been and remains a crossroads for diverse cultural and political currents—open to Mediterranean cultural influences while remaining within a typically Western cultural context. The “new man,” defined by Corrado Alvaro during his trip in Russia in 1934 as “transitional,” implies a human being with a fundamental need for change. Instead of the “new man,” Italo Calvino in the 1960 preface to his I nostri antenati wrote about the …

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Mapping Empirical Evidence On Artificial Intelligence Tools For Mathematics Teachers: A Scoping Review, Ghan Shyam Joshi, Steven M. Heinold Nov 2025

Mapping Empirical Evidence On Artificial Intelligence Tools For Mathematics Teachers: A Scoping Review, Ghan Shyam Joshi, Steven M. Heinold

Purdue AI in P-12 Education Conference

Artificial Intelligence (AI) is reshaping education, yet its integration into K–12 mathematics remains limited. This scoping review synthesizes 7 empirical studies (2022–2025). The primary purpose of this review is to explore the benefits, challenges, and gaps in AI integration in mathematics. This review is guided by Arksey and O'Malley's scoping review framework. The reviewed literature data is analyzed through reflexive thematic analysis. This review identified four key themes: prompting literacy, accuracy norms, efficiency, and personalization. Results showed that AI can strengthen reasoning and engagement in mathematics teaching and learning. The effectiveness relies on teacher agency, ongoing professional development, and systemic …

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Teachers’ Knowledge And Beliefs In The Implementation Of Ai In Algebra Instruction, Comfort Temitope Aje, Modiu Olaguro Nov 2025

Teachers’ Knowledge And Beliefs In The Implementation Of Ai In Algebra Instruction, Comfort Temitope Aje, Modiu Olaguro

Purdue AI in P-12 Education Conference

This review examines how secondary mathematics teachers’ knowledge and beliefs about Artificial Intelligence (AI) shape their use of AI-based learning tools in algebra instruction. Drawing on Wilkins’ (2008) adaptation of Ernest’s (1989) model, the study synthesizes existing literature to explain how teachers’ understanding of AI interacts with their beliefs to influence the depth and quality of classroom implementation. The review highlights the reciprocal relationship between knowledge, beliefs, and practice, emphasizing the need for sustained professional development to support purposeful and equitable integration of AI in mathematics teaching.

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Semiconductors & Microelectronics In Middle School Technology & Engineering: Integrating Emerging Stem Workforce Contexts Into The Classroom, Greg J. Strimel, Deana Lucas, Yubin Lee, Victoria Constantine, Tamara J. Moore, Morgan Hynes, Selcen Guzey Nov 2025

Semiconductors & Microelectronics In Middle School Technology & Engineering: Integrating Emerging Stem Workforce Contexts Into The Classroom, Greg J. Strimel, Deana Lucas, Yubin Lee, Victoria Constantine, Tamara J. Moore, Morgan Hynes, Selcen Guzey

School of Engineering Technology Faculty Publications

This case study explores the integration of microelectronics contexts and content into middle school classrooms as part of a workforce development initiative intended to address national labor force needs arising from increased investments in the semiconductor industry. The study follows four middle school technology and engineering teachers as they develop, implement, and refine an instructional unit designed to introduce students to microelectronics production and semiconductor-related careers. Through classroom observations and iterative curriculum development, this exploratory case study reviewed how emerging STEM workforce contexts, such as semiconductors and microelectronics, can be integrated into middle school instruction. The results provide a practical …

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Climate Change Agricultural Comparative Advantage And The Us Trade Balance, Elizabeth A. Fraysse, Thomas Hertel, Roman M. Keeney Nov 2025

Climate Change Agricultural Comparative Advantage And The Us Trade Balance, Elizabeth A. Fraysse, Thomas Hertel, Roman M. Keeney

Department of Agricultural Economics Faculty Publications

Current science indicates that warming and elevated atmospheric CO2 will have ambiguous results for crop productivity depending on crop type and geographic location, whereas increased heat stress makes livestock and human labor less productive. The differential impacts across regions will alter comparative advantage and shift the patterns of global trade. This paper employs an economywide trade model to assess all three types of productivity shocks under a 3°C global warming scenario. We find that the widening agricultural trade deficits persist, even as the overall US trade balance improves due to enhanced investment inflows.

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Insights From A Simple Mathematical Model Of Autism Spectrum Disorders, Charles F. Babbs Oct 2025

Insights From A Simple Mathematical Model Of Autism Spectrum Disorders, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

This preliminary report explores insights about mechanisms of autism spectrum disorders (ASDs) gained from a mathematical model of interconnected clusters of excitatory neurons. This local, integrate-and-fire, spiking neural network is subjected to random noise from other populations of excitatory and inhibitory neurons outside the network. Its emergent behavior in response to different ratios of inhibitory to excitatory noise mimics several aspects of ASDs. The spiking neural network functions according to rules of classical neurophysiology, involving resting membrane potential, threshold potential, excitatory or inhibitory post-synaptic potentials, action potential, and refractory period. Key parameters include the incremental change in membrane potential, p …

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Simple Probabilistic Method For Chloride Transport In Concrete, Jaehwan Kim, Sangki Park, Dong-Woo Seo, Ki-Tae Park, Joohyung Kim Oct 2025

Simple Probabilistic Method For Chloride Transport In Concrete, Jaehwan Kim, Sangki Park, Dong-Woo Seo, Ki-Tae Park, Joohyung Kim

International Conference on Durability of Concrete Structures

It is a well-known fact that reinforced concrete structures exposed to marine environments suffer from reinforcement corrosion due to chloride ingress, which degrades the performance of the structure. To address this issue, reinforced concrete structures are designed and constructed to have a service life of more than 100 years, but to ensure safety or durability, it is necessary to accurately predict the onset of reinforcement corrosion. Various prediction models have been developed for chloride transport in concrete, including physically based models, with Fick's 2nd law being the most commonly used empirically based model for chloride penetration in concrete. However, the …

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Machine-Learning Pci Forecasts For Concrete Pavements: Evidence From A Nigerian Airfield, Abubakar Ahmad Shehu, Mohamed Shadi Mohamed, Arab M. Zakwan, Jinhui Jiang Oct 2025

Machine-Learning Pci Forecasts For Concrete Pavements: Evidence From A Nigerian Airfield, Abubakar Ahmad Shehu, Mohamed Shadi Mohamed, Arab M. Zakwan, Jinhui Jiang

International Conference on Durability of Concrete Structures

This study develops data-driven Pavement Condition Index (PCI) forecasting for rigid (jointed concrete) airfields to support maintenance planning, risk mitigation, and lifecycle analysis. Traditional PCI surveys per ASTM D5340 are manual, time-consuming, and subjective, motivating machine-learning alternatives. Using panel-level observations, five models predict next-year PCI from readily available variables: prior-year PCI, annual aircraft traffic, temperature, and rainfall. The models include ordinary least squares (linear), ridge, lasso, random forest (RF), and a feedforward artificial neural network (ANN). All models performed well on held-out validation data; the ANN was best, achieving ��2 = 0.985, MSE = 0.286, MAE = 0.397, and RMSE …

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Chloride Transport In Low Clinker Content Concretes And Modeling, Pu Yang, Narayanan Neithalath, Manu Santhanam, Yuvaraj Dhandapani Oct 2025

Chloride Transport In Low Clinker Content Concretes And Modeling, Pu Yang, Narayanan Neithalath, Manu Santhanam, Yuvaraj Dhandapani

International Conference on Durability of Concrete Structures

Chloride ion transport behaviour has been reported to be significantly influenced by the use of supplementary cementing materials in concrete, both due to physical effects such as pore structure refinement and chemical effects including chloride binding. This paper provides experimental results on diffusion of chloride ions through concretes containing limestone calcined clay as a cement replacement material at ~50% replacement level, demonstrating the beneficial effects of high-volume replacement of cement with calcined clay. A numerical simulation framework that considers the pore structure of concrete, the concentration-dependence of diffusion coefficient, and Freundlich binding is also presented. The diffusion model is augmented …

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Enhancing Concrete Circularity In Construction: The Recyclebim Framework In Closing Material Loops, Miguel Azenha, Artur Kuzminykh, José Granja, Manuel Parente, M. Albadri, P. González-Cabaleiro, R. Túñez-Alcalde, Lucía Díaz-Vilariño, C. Cao, N. Ukrainczyk, E. Koenders, A. J. Babafemi, M. Colyn, W. De Villiers, A. Ditlhokwa, H. Els, K. Timm, G. Van Zijl, E. Ameh, J. Immelman, V. Ndjate, L. Petrik, E. Ciampi, G. Nisivoccia, M. G. Orecchio, E. Sandonis, V. Garcia, D. Garcia, A. Delaplace Oct 2025

Enhancing Concrete Circularity In Construction: The Recyclebim Framework In Closing Material Loops, Miguel Azenha, Artur Kuzminykh, José Granja, Manuel Parente, M. Albadri, P. González-Cabaleiro, R. Túñez-Alcalde, Lucía Díaz-Vilariño, C. Cao, N. Ukrainczyk, E. Koenders, A. J. Babafemi, M. Colyn, W. De Villiers, A. Ditlhokwa, H. Els, K. Timm, G. Van Zijl, E. Ameh, J. Immelman, V. Ndjate, L. Petrik, E. Ciampi, G. Nisivoccia, M. G. Orecchio, E. Sandonis, V. Garcia, D. Garcia, A. Delaplace

International Conference on Durability of Concrete Structures

Despite significant progress in digitalisation across various sectors, the development of data-driven applications in the built environment remains ongoing, with a focus on improving labour productivity and addressing global sustainability challenges. The circular economy framework for reusing and recycling construction materials is still underexplored. Metrics on the amount and impact of construction and demolition waste (CDW) highlight the need for more effective circularity strategies. Although the circular economy seeks to minimise waste, maximise material reuse, and reduce environmental impacts, practical implementation within the construction sector requires further development—an area where digital technologies can offer substantial support. This study introduces the …

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3d Rbsm Conduit Model For Simulating Moisture Transport In Compressively Damaged Concrete, Dawei Ren, Kohei Nagai Oct 2025

3d Rbsm Conduit Model For Simulating Moisture Transport In Compressively Damaged Concrete, Dawei Ren, Kohei Nagai

International Conference on Durability of Concrete Structures

This study investigates the simulation of moisture transport in concrete under compressive damage using the 3D RBSM Conduit model. The model combines stress-strain responses from concrete compression experiments with detailed crack data, providing a realistic representation of crack development under varying load conditions. By implementing both unlubricated and lubricated compression tests, different failure modes were observed, influencing penetration patterns. Simulations show that the distribution of cracks significantly accelerates moisture penetration within the concrete. Notably, uniformly distributed cracks, typical of lubricated tests, facilitate deeper and faster moisture transport compared to more localized cracks observed in unlubricated tests. This study validates the …

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Challenging The School Boundaries: Exploring Challenges And Opportunities In Homeschooling Engineering Education, Luis Montero-Moguel, Cynthia Lima, Guadalupe Carmona, Verónica Vargas-Alejo Sep 2025

Challenging The School Boundaries: Exploring Challenges And Opportunities In Homeschooling Engineering Education, Luis Montero-Moguel, Cynthia Lima, Guadalupe Carmona, Verónica Vargas-Alejo

Journal of Pre-College Engineering Education Research (J-PEER)

Homeschooling sparks controversy regarding the quality of education when compared to the traditional schooling system. However, homeschooling rates have doubled nationwide since the pandemic, especially among minorities. Funding and curricular material resources may be limited for homeschooling families, especially those from diverse backgrounds. Therefore, this essay discusses the need to expand the current boundaries of engineering education to include homeschooling communities. Drawing from our homeschooling experience, we present three recommendations that respect the cultures and unique characteristics of homeschooling to promote engineering practices in these communities. Our proposal challenges negative perceptions of homeschooling, enhancing our understanding of its unique characteristics …

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Computational Simulations Fresh-To-Solid Transition For Additive Manufacturing Of Ultra-High-Performance Fiber Reinforced Concrete, Erol Lale, Bahar Ayhan, Ayesha Ahmed, Elmer Irizarry, Jiaqi Liu, Shady Gomaa, Raul Marrero-Rosa, Gianluca Cusatis Sep 2025

Computational Simulations Fresh-To-Solid Transition For Additive Manufacturing Of Ultra-High-Performance Fiber Reinforced Concrete, Erol Lale, Bahar Ayhan, Ayesha Ahmed, Elmer Irizarry, Jiaqi Liu, Shady Gomaa, Raul Marrero-Rosa, Gianluca Cusatis

C3 Symposium 2025

Additive manufacturing of concrete is a topic of interest within the academia and industry. Simulating the printable concrete behavior from the fresh state to hardened state to long-term will provide the future engineers the ability to optimize the design and predict failure of structural elements. A key aspect for concrete additive manufacturing is the complexity of optimization which includes systems, schedule, and materials. Our research focus on the simulation fresh state, hardened behavior, and the transition from fluid-to-solid of nanoclay modified ERDC ultra-high-performance fiber reinforced concrete system. Discrete fresh concrete model (DFC) and Smooth Particle Hydrodynamics (SPH) model are studied …

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Predicting The Chloride Penetration Of Sustainable Marine Concrete Using Data-Driven And Multiphysics Frameworks, Joya Rani Das, Taihao Han, Jie Huang, Kamal H. Khayat, Aditya Kumar Sep 2025

Predicting The Chloride Penetration Of Sustainable Marine Concrete Using Data-Driven And Multiphysics Frameworks, Joya Rani Das, Taihao Han, Jie Huang, Kamal H. Khayat, Aditya Kumar

C3 Symposium 2025

Chloride penetration in sustainable reinforced concrete (RC) is a critical parameter for predicting and preventing infrastructure failure, particularly for marine applications. However, replicating natural environments and testing in actual infrastructure is challenging, making it difficult to accurately measure chloride concentration in RC. Additionally, the complexity of concrete mixture designs and environmental parameters hinders the development of a universal model to predict chloride concentration at various concrete depths. This study develops a data-driven approach to predict chloride concentrations at different depths and chloride diffusion coefficients in marine RC made with common supplementary cementitious materials (e.g. fly ash, slag, etc.) under varied …

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A Mathematical Model For Co2 Capture Via Mineral Carbonation Using Hydrated Lime, Natalia Vidal De La Peña, Grégoire Léonard, Dominique Toye Sep 2025

A Mathematical Model For Co2 Capture Via Mineral Carbonation Using Hydrated Lime, Natalia Vidal De La Peña, Grégoire Léonard, Dominique Toye

C3 Symposium 2025

The construction sector contributes to approximately 37% of global GHG emissions. To mitigate this impact, this study develops a mathematical model to analyze CO2 capture via hydrated lime carbonation. The model integrates reaction kinetics, diffusion and heat balance, considering the effects of liquid water saturation, the influence of porosity on diffusion and the heat generated by both the reaction and water evaporation. For a specific case, the carbonation front and temperature gradient along the reactor are analyzed. Then, the model is validated, demonstrating promising results for optimizing future carbonation processes.

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Fourier Analyses Of Optical Profilometry As An Inferential Measurement For Impact Coverage., Langdon Feltner, Paul Mort Sep 2025

Fourier Analyses Of Optical Profilometry As An Inferential Measurement For Impact Coverage., Langdon Feltner, Paul Mort

15th International Conference on Shot Peening

A critical consideration in peening process design is achieving sufficient impact coverage. Conventional methods for assessing coverage rely on manual inspection, which is time-consuming and poorly suited for automated control. In this work, we investigate the use of frequency-domain analysis to quantify surface modification in peened samples using optical profilometry (OP) data. Three-dimensional surface maps of Almen strips were acquired using a high-resolution OP system and analyzed via fast Fourier transform (FFT) to compute spatial power spectral densities (PSDs). PSD maps and radially averaged profiles reveal consistent amplification of harmonic components similar to the nominal particle size, with increasing intensity …

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Reduced Order Approach For Peening Stress Field Variability, Langdon Feltner, Paul Mort Sep 2025

Reduced Order Approach For Peening Stress Field Variability, Langdon Feltner, Paul Mort

15th International Conference on Shot Peening

A common goal in shot peening research is to connect operational parameters to resultant residual stress fields, providing a means to control and optimize the effectiveness of surface treatment. In practice, experimental measurements of residual stresses are often averaged values over regions that are large in comparison to an impact dimple. In fact, the stochastic nature of impact locations leads to residual stress fields that are distributed. Finite element peening simulations confirm this observation. The goal of this report is to connect operational parameters to localized fluctuations in residual stress through probabilistic reasoning (Figure 1). In particular, the development of …

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Hands-On Stem In Ghana: Inspiration For Culturally Relevant Pedagogy Globally, Alhassan Issifu, Mawuena A. Hanson, Heather R. Beem Sep 2025

Hands-On Stem In Ghana: Inspiration For Culturally Relevant Pedagogy Globally, Alhassan Issifu, Mawuena A. Hanson, Heather R. Beem

Journal of Pre-College Engineering Education Research (J-PEER)

Many educators are increasingly seeking culturally relevant pedagogies they can employ to effectively engage their students. In Ghana a substantive set of hands-on STEM content has been created, incorporating locally available materials and cultural approaches while maintaining alignment to the national curricula. Against a backdrop of almost no public primary or junior high schools in the country containing any lab equipment, this approach leverages and celebrates the abundance of what is available within the locality. This challenges narratives of what is considered “good” and recenters power back with those in the classroom. Three sample activities and three firsthand stories are …

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Hmongcentric Niche Charter Schools: The Role Of Social Capital On Students’ Perceived Academic Competence, Zha Blong Xiong, Ting Xu, Kyle Nickodem, Malina Her Sep 2025

Hmongcentric Niche Charter Schools: The Role Of Social Capital On Students’ Perceived Academic Competence, Zha Blong Xiong, Ting Xu, Kyle Nickodem, Malina Her

Journal of Southeast Asian American Education and Advancement

Using Coleman’s (1988) social capital theory, this study investigated the connection between family and school social capital and the perceived academic competence of students enrolled in Hmongcentric niche charter schools. The study analyzed 124 participants consisting of third, fourth, and fifth-grade students residing in Minnesota, with 93% identifying as Hmong. Results of structural equation modeling showed that school social capital, as measured by school attachment and school connection, is significantly linked to students’ perceived academic competence. Further analyses suggested that school attachment, especially in charter schools that focus on culture and language, plays a more crucial role in shaping students’ …

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Activity Design Principles To Support Engineering Engagement For Families With Preschool-Age Children From Low-Income English-And Spanish-Speaking Communities, Scott A. Pattison, Smirla Ramos Montañez, Viviana López Burgos, Gina Svarovsky, María Quijano, Amy Corbett, Catherine Wagner, Diana Contreras Sep 2025

Activity Design Principles To Support Engineering Engagement For Families With Preschool-Age Children From Low-Income English-And Spanish-Speaking Communities, Scott A. Pattison, Smirla Ramos Montañez, Viviana López Burgos, Gina Svarovsky, María Quijano, Amy Corbett, Catherine Wagner, Diana Contreras

Journal of Pre-College Engineering Education Research (J-PEER)

Existing evidence highlights the significance of family STEM learning experiences during early childhood. However, there is a lack of research specific to early childhood family-based learning in the field of engineering, especially with preschool-age children (three to five years old). To address this gap and inform engineering education programs for young children, we conducted a design-based research study in collaboration with 15 Spanish-and English-speaking families with preschool-age children from low-income communities. Our study aimed to develop and test a series of family-based engineering design activities while also identifying underlying design principles. Guided by an asset-based family learning framework, which acknowledges …

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A Framework For Test Planning Of A Vision System Supporting Aerial Refueling, Jonathon K. Parry, Donald H. Costello, Michael D. M. Kutzer, Charles J. Doherty, Sarah M. Hubbard Sep 2025

A Framework For Test Planning Of A Vision System Supporting Aerial Refueling, Jonathon K. Parry, Donald H. Costello, Michael D. M. Kutzer, Charles J. Doherty, Sarah M. Hubbard

Journal of Aviation Technology and Engineering

This essay presents a framework for evaluating a computer vision system providing perception for an uncrewed aircraft completing the automated air-to-air refueling (A3R) task. As the Department of Defense acquires capabilities that exhibit increasing levels of autonomy, the test and evaluation community must adapt the current framework to provide airworthiness officials the information required to accurately access the risks associated with the system underdoing testing. Following a brief introduction to A3R, this essay lays out a testing framework that leverages dendritic analysis and effectively deconstructs the critical issue into measurable data elements that can be used to support test and …

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A Technical And Statistical Analysis Of Unleaded Aviation Fuel (Ul94) Adoption In A High- Volume Collegiate Aviation Environment, Nicholas D. Wilson, Ryan Guthridge, Brandon Wild, Jeremy Roesler, Daniel Kasowski, Nick Geinert, Aaron Terbest, Aaron Fettig, Robert Kraus Aug 2025

A Technical And Statistical Analysis Of Unleaded Aviation Fuel (Ul94) Adoption In A High- Volume Collegiate Aviation Environment, Nicholas D. Wilson, Ryan Guthridge, Brandon Wild, Jeremy Roesler, Daniel Kasowski, Nick Geinert, Aaron Terbest, Aaron Fettig, Robert Kraus

Journal of Aviation Technology and Engineering

The University of North Dakota (UND) adopted unleaded aviation fuel (UL94) for approximately a four-month period in the summer and early fall of 2023. The UL94 fuel was used in all reciprocating engine fleets based at the university’s primary training airport, Grand Forks International Airport in North Dakota. During the operational implementation of UL94, the UND flew 46,600 flight hours, consuming 386,778 gallons of fuel across all fleets powered by Lycoming engines. After approximately two months of using UL94, operational reports and maintenance inspections began to indicate potential for exhaust valve seat recession (EVSR), although early indications were limited in …

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Research Synthesis Of Predicting Part 135 Accident Probability In Aviation: How The Bayesian Brain Ignores Declining Safety Standards, Jonathan R. Clarke Aug 2025

Research Synthesis Of Predicting Part 135 Accident Probability In Aviation: How The Bayesian Brain Ignores Declining Safety Standards, Jonathan R. Clarke

Journal of Aviation Technology and Engineering

Technological innovation has had an enormous effect on safety in aviation. However, in Part 135 operations, where technology is not as ubiquitous, the accident rates have plateaued. Human error is constantly misrepresented as being responsible for 70–80 percent of accidents, when it is clearly only one of several contributing factors. In commercial aviation, all accidents should be considered organizational failures, because by definition all defensive layers have been breached. Organizational failure, as it affects safety, should be identifiable and predictable from organizational behavior. Inevitably, in the aftermath of accidents the warning signs of poor behavior are seemingly obvious, yet there …

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Examining The Relationship Between Artificial Intelligence And Disability, Luke Abell, Ben Anderson, Andres Arbulu, Cailyn Bowerman, Ethan Brown, Logan Busch, Eliana Chinitz, Shaan Choksi, Charles Clark, Alexander Claure, Meaghan Crites, Amalia Daniell, Stephen Dombrowski, Clara Dotterer, Jordyn Fink, Jake Fox, Akanksha Garg, Ishaan Ghosh, Cristian Gorayeb, Lia Gosselin, Simon Hasik, Alexis Hawkins, Charles Dickerson Iv, Chistopher Johnson, Cj Kulprathipanja, Claire Lindborg, Josh Lorenz, Luke Mcdonald, Daniella Nahnsen, Arwa Neemuchwala, Sage Nichols, Henrique Ortega, Krish Patel, Daniel Paul, Andres Ravelo, Daniel Reyes, Francesca Rovetto, Santiago Sacchini, Juan Santos, Mauricio Saturno, Carter Schaffer, Joey Schlosser, Anna Scroggings, Dylan Smith, Daniel Tejeira, Kenny Teng, Diya Tibrewala, Max Young, Robert Zeltsman, Bradley S. Duerstock, Maxwell Mensah Aug 2025

Examining The Relationship Between Artificial Intelligence And Disability, Luke Abell, Ben Anderson, Andres Arbulu, Cailyn Bowerman, Ethan Brown, Logan Busch, Eliana Chinitz, Shaan Choksi, Charles Clark, Alexander Claure, Meaghan Crites, Amalia Daniell, Stephen Dombrowski, Clara Dotterer, Jordyn Fink, Jake Fox, Akanksha Garg, Ishaan Ghosh, Cristian Gorayeb, Lia Gosselin, Simon Hasik, Alexis Hawkins, Charles Dickerson Iv, Chistopher Johnson, Cj Kulprathipanja, Claire Lindborg, Josh Lorenz, Luke Mcdonald, Daniella Nahnsen, Arwa Neemuchwala, Sage Nichols, Henrique Ortega, Krish Patel, Daniel Paul, Andres Ravelo, Daniel Reyes, Francesca Rovetto, Santiago Sacchini, Juan Santos, Mauricio Saturno, Carter Schaffer, Joey Schlosser, Anna Scroggings, Dylan Smith, Daniel Tejeira, Kenny Teng, Diya Tibrewala, Max Young, Robert Zeltsman, Bradley S. Duerstock, Maxwell Mensah

Undergraduate Coursework

No abstract provided.

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Global Drivers And Local Management Of Groundwater Stress: A High-Resolution Economic Analysis Of Land, Water, And Food Systems, Iman Haqiqi, Thomas Hertel, Kavitha Srikanth Aug 2025

Global Drivers And Local Management Of Groundwater Stress: A High-Resolution Economic Analysis Of Land, Water, And Food Systems, Iman Haqiqi, Thomas Hertel, Kavitha Srikanth

Department of Agricultural Economics Faculty Publications

Groundwater stress, a critical challenge for global water security and food production, has intensified due to the interaction of global change drivers and rapidly evolving local conditions. This paper investigates the individual and combined impacts of water availability, heat, population growth, income dynamics, and technological advancements on global groundwater stress over a historical period from 1997 to 2017. Utilizing the gridded Simplified International Model of agricultural Prices, Land use, and the Environment (SIMPLE-G), the study attributes local changes in water and land use patterns to these key global drivers. Furthermore, it evaluates an alternative, counterfactual scenario in which sustainable management …

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Flowing Progress: Transforming The Danube Through Infrastructure, Stefan Dorondel, Luminita Gatejel Aug 2025

Flowing Progress: Transforming The Danube Through Infrastructure, Stefan Dorondel, Luminita Gatejel

Central European Studies

Flowing Progress: Transforming the Danube Through Infrastructure focuses on how different political regimes and forms of governance have imagined and technologically transformed the most international river in the world. Multidisciplinary and drawing on methodologies of history, anthropology of infrastructure, and science, technology, and society, this collection explores the tensions between the river and its natural pulses, the humans that populate its floodplains, state agencies, and infrastructure. The book engages the concept of disturbance to point out the circular and spiraling dynamics between hydrological processes and technopolitical and economic practices. Disturbance denotes a specific type of long-term dynamic between human attempts …

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A Deep Learning Framework With Explainable Ai For Atmospheric Blocking Detection And Interpretation, Devansh Khandelwal Aug 2025

A Deep Learning Framework With Explainable Ai For Atmospheric Blocking Detection And Interpretation, Devansh Khandelwal

Discovery Undergraduate Interdisciplinary Research Internship

Atmospheric blocking is a large-scale quasi-stationary phenomenon in mid-latitude circulation, characterized by persistent high-pressure systems that disrupt the typical west-to-east flow of the jet stream. These systems can cause extreme weather events—such as heatwaves, cold spells, or droughts—that persist for days or even weeks. This study proposes a deep learning framework to predict and interpret the occurrence of atmospheric blocking by integrating geophysical precursors such as geopotential height (Z500), stream function (SF200), and potential vorticity. These features, which are dynamically linked to blocking onset and persistence, serve as inputs to a Convolutional Neural Network model trained on the CESM Large …

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Crop Yield Prediction At Multiple Spatial Scales With Statistical Machine Learning, Vaibhav Charan, Pratishtha Poudel Aug 2025

Crop Yield Prediction At Multiple Spatial Scales With Statistical Machine Learning, Vaibhav Charan, Pratishtha Poudel

Discovery Undergraduate Interdisciplinary Research Internship

Understanding and accurately predicting crop yield is becoming increasingly important today in the face of global food security challenges, and thus, the availability of standardized data and scalable models is the need of the hour. To support this, researchers have developed CY-Bench (Crop Yield Benchmark), a comprehensive dataset that helps forecast maize and wheat yields on a global scale. This research project primarily involved working with the CY-Bench dataset aiming to improve crop yield prediction through machine learning. Initially, papers explaining the CY-Bench dataset and other papers for agriculture modeling were studied and analyzed in detail. The research then progressed …

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