Digital Commons Network^™

Constructing Ai Speech, Margot E. Kaminski, Meg Leta Jones

Publications

Artificial Intelligence (AI) systems such as ChatGPT can now produce convincingly human speech, at scale. It is tempting to ask whether such AI-generated content “disrupts” the law. That, we claim, is the wrong question. It characterizes the law as inherently reactive, rather than proactive, and fails to reveal how what may look like “disruption” in one area of the law is business as usual in another. We challenge the prevailing notion that technology inherently disrupts law, proposing instead that law and technology co-construct each other in a dynamic interplay reflective of societal priorities and political power. This Essay instead deploys …

Using Small Uas For Stem Education: Introducing Robotics And Mechatronics With Drones, Christian Janke, Kimberly Luthi, Stefan Kleinke, Yuetong Lin

Publications

Several global developments point to importance of STEM-related education and studies. Every industry sector faces challenges in the recruiting of qualified personnel, due to retiring employees and general economic growth. Also, several domains, foremost automotive and aviation are undergoing a tremendous shift towards electrification to achieve sustainability. Hence, sparking the interest in STEM studies, education and vocational training cannot start early enough. This paper introduces the benefits of the educational use of sUAS by identifying core benefits in the three domains of learning – cognitive, affective, psycho-motor. Preliminary data and survey results from from several science, technology, engineering and math …

Teacher Enactment Of The Geospatial Inquiry Cycle In Classrooms Following Scaled Up Professional Learning And Development, Brooke A. Whitworth, Lori Rubino-Hare, Francis Boateng, Anne Hamlin, Nena E. Bloom, Eric Nolan

Publications

The current study examined the effects of a nationally scaled up Professional Learning and Development (PLD) model on teachers’ classroom implementation of the Geospatial Inquiry instructional framework. Geospatial Inquiry is defined as: asking and answering a research question through the analysis and communication of data that is linked to a geographic location on, above, or near Earth. These data are often represented visually via maps and explored with geospatial technologies. It also examined the relationships between Geospatial Inquiry Teacher Workshop (GITW) implementation and teacher implementation of the Geospatial Inquiry Cycle. Situated cognition provided a theoretical framework for the design, development, …

Disaster Vulnerability, Lisa Grow, Brigham Daniels, Douglas M. Spencer, Chantel Sloan, Natalie Blades, Teresa Gomez

Publications

Vulnerability drives disaster law, yet the literature lacks both an overarching analysis of the different aspects of vulnerability and a nuanced examination of the factors that shape disaster outcomes. Though central to disaster law and policy, vulnerability often lurks in the shadows of a disaster, evident only once the worst is past and the bodies have been counted. The COVID-19 pandemic is a notable exception to this historical pattern: from the beginning of the pandemic, it has been clear that the virus poses different risks to different people, depending on vulnerability variables. This most recent pandemic experience thus provides a …

Urban Transportation Infrastructure And Cyclist And Pedestrian Safety, Hatim Sharif, Samer Dessouky

Publications

The goal of this project was to perform a comprehensive evaluation of crash causes and risk factors to identify the root causes of crashes involving bicyclists and pedestrians in San Antonio, TX. The research included the development of a database of bicycle and pedestrian crash reports in the target area, calculation of crash counts and rates, identifying road segments and intersections with highly concentrated bicycle and pedestrian crashes, and the development of effective safety countermeasures. Several variables and factors were analyzed, including driver characteristics such as age and gender, road-related factors, and environmental factors such as weather conditions and time …

Analysis, Modeling, And Simulation (Ams) Case Studies Of Connected And Automated Vehicle (Cav) Implementations Specific To The South Central Region, Christopher Melson, Jiaqi Ma

Publications

Connected and automated vehicles (CAVs) offer potentially transformative and far-reaching impacts to the transportation system. However, realized benefits will be directly tied to how well agencies prepare for these technologies. This report documents efforts that support CAV preparatory actions in Louisiana and includes: (1) conducting a stakeholder survey to inform engagement activities to develop strategic partnerships in CAV deployment and (2) conducting crash analyses for deployment scenarios of CAV-based queue warning systems (QWSs).

An electronic survey was developed and disseminated to 273 Louisiana organizations. The purpose of the survey was to engage these organizations under the context of CAV planning …

Viability And Application Of Mounting Personal Pid Voc Sensors To Small Unmanned Aircraft Systems, Cheryl Lynn Marcham, Scott Burgess, Joseph Cerreta, Patti J. Clark, James P. Solti, Brandon Breault, Joshua G. Marcham

Publications

Using a UAS-mounted sensor to allow for a rapid response to areas that may be difficult to reach or potentially dangerous to human health can increase the situational awareness of first responders of an aircraft crash site through the remote detection, identification, and quantification of airborne hazardous materials. The primary purpose of this research was to evaluate the remote sensing viability and application of integrating existing commercial-off-the-shelf (COTS) sensors with small unmanned aircraft system (UAS) technology to detect potentially hazardous airborne contaminants in emergency leak or spill response situations. By mounting the personal photoionization detector (PID) with volatile organic compound …

Scaling Professional Development: Integrity Of Implementation As A Measurement Approach, Brooke A. Whitworth, Lori Rubino-Hare, Nena E. Bloom

Publications

Professional learning about an innovative teaching method is a demonstrated way to improve teacher practices, and ultimately impact student learning. One way to scale up professional learning is a facilitator development model, in which professional learning and development (PLD) designers prepare facilitators to understand the innovation and they in turn, teach teachers. To understand the effectiveness of this model, identifying how facilitators implement the model with teachers is critical. As such, the Power of Data (POD) team scaled-up effective PLD by providing Facilitation Academies to teach others to facilitate POD Teacher Workshops (TWs). The expectation was that changes based on …

Fast Summarizing Algorithm For Polygonal Statistics Over A Regular Grid, Scott Haag, David G. Tarboton, Martyn Smith, Ali Shokoufandeh

Publications

We describe a data structure and associated algorithm called Fast Zonal Statistics (FZS) for the retrieval of the summary characteristics of an arbitrary polygon derived from a regular grid. The FZS algorithm can return numerical (e.g., mean, sum, and count) attributes for a polygonal object over a regular grid (e.g., raster data model). The computational complexity of the FZS algorithm is constant in relation to the length of the polygon perimeter. This contrasts with existing approaches which scale in relation to the polygon area, therefore we expect and measure geometric decreases in execution time using the proposed approach for simple …

Machine Learning Predicts Reach-Scale Channel Types From Coarse-Scale Geospatial Data In A Large River Basin, Hervé Guillon, Colin F. Byrne, Belize A. Lane, Samuel Sandoval Solis, Gregory B. Pasternack

Publications

Hydrologic and geomorphic classifications have gained traction in response to the increasing need for basin-wide water resources management. Regardless of the selected classification scheme, an open scientific challenge is how to extend information from limited field sites to classify tens of thousands to millions of channel reaches across a basin. To address this spatial scaling challenge, this study leverages machine learning to predict reach-scale geomorphic channel types using publicly available geospatial data. A bottom-up machine learning approach selects the most accurate and stable model among∼20,000 combinations of 287 coarse geospatial predictors, preprocessing methods, and algorithms in a three-tiered framework to …

Hydrods: Data Services In Support Of Physically Based, Distributed Hydrological Models, Tseganeh Zekiewos Gichamo, Nazmus S. Sazib, David G. Tarboton, Pabitra Dash

Publications

Physically based distributed hydrologic models require geospatial and time-series data that take considerable time and effort in processing them into model inputs. Tools that automate and speed up input processing facilitate the application of these models. In this study, we developed a set of web-based data services called HydroDS to provide hydrologic data processing ‘software as a service.’ HydroDS provides functions for processing watershed, terrain, canopy, climate, and soil data. The services are accessed through a Python client library that facilitates developing simple but effective data processing workflows with Python. Evaluations of HydroDS by setting up the Utah Energy Balance …

Standardization Roadmap For Unmanned Aircraft Systems, Version 2.0, Kristine Kiernan, Robert Joslin, John Robbins

Publications

This Standardization Roadmap for Unmanned Aircraft Systems, Version 2.0 (“roadmap”) is an update to version 1.0 of this document published in December 2018. It identifies existing standards and standards in development, assesses gaps, and makes recommendations for priority areas where there is a perceived need for additional standardization and/or pre-standardization R&D.

The roadmap has examined 78 issue areas, identified a total of 71 open gaps and corresponding recommendations across the topical areas of airworthiness; flight operations (both general concerns and application-specific ones including critical infrastructure inspections, commercial services, and public safety operations); and personnel training, qualifications, and certification. Of that …

Locative-Media Ethics: A Call For Protocols To Guide Interactions Of People, Place, And Technologies, Andrea Zeffiro, Julia M. Hildebrand, Jordan Frith, Larissa Hjorth, Caitlin Mcgrane, Amy Schmitz Weiss, Gerard Goggin

Publications

No abstract provided.

Clemson University - Cooper Library Master Plan Report, Clemson University

Publications

This report includes recommendations from brightspot strategy for how Cooper Library can transition its existing facility into an environment focused on Clemson’s changing learning and research needs through a space program and partner service strategy in the existing floor plate of Cooper Library

A Lesson In Geospatial Inquiry, Eric Nolan, Brooke A. Whitworth, Lori Rubino-Hare

Publications

No abstract provided.

Scaling Professional Learning And Development: Preparing Professional Learning And Development Providers To Lead Power Of Data Teacher Workshops, Brooke A. Whitworth, Lori Rubino-Hare, Nena E. Bloom, Megan C. Walker, Kayla R. Arendt

Publications

This design-based research study examined the first two cycles of development, enactment, analysis, and redesign of the Power of Data (POD) Facilitation Academy. Professional Learning and Development (PLD) providers’ geospatial technology (GST) skills, understanding of programme principles, preparation, and stages of concern for implementing POD Teacher Workshops were investigated. The POD Team analysed previous POD PLD models. Using these results, the POD Academy and Guide were developed, enacted, and revised. Two cohorts (n = 28) participated in the POD FA designed to prepare PLD providers to implement POD Teacher Workshops and to support teachers in learning to enhance an …

Using Community-Engaged Research To Explore Social Determinants Of Health In A Low-Resource Community In The Dominican Republic: A Community Health Assessment, Arelis Moore De Peralta, Lauren Davis, Katherine Brown, Michelle Fuentes, Suzanne Falconer, Jenneil Charles, Michelle Eichinger

Publications

Introduction:

Previously published community health assessments (CHA) have explored social determinants of health in low-resource, Haitian-majority Dominican communities. The present CHA was conducted in Las Malvinas II, a Dominican-majority low-resource community, and represented a first step for developing a building a healthier community process.

Method:

A binational community–academic partnership adapted the Centers for Disease Control and Prevention’s CHANGE (Community Health Assessment and Group Evaluation) guide to conduct a CHA through community-engaged, mixed-methods research. Data were collected on five community selected public health priorities (i.e., education, sanitation, unwanted pregnancies, chronic disease management, and vaccine-preventable diseases) and community assets through focus groups, …

Territorial And Trans-Territorial Community-Institutional Partnerships To Build Healthier Communities In Developing Countries: Lessons Learned From A Dominican Republic Low-Resource Community, Arelis Moore De Peralta, Emily Schultz, Katherine Brown, N. Suzanne Falconer

Publications

This descriptive case study examines the value of multi-level partnerships to foster a Building a Healthier Community (BHC) process in a low-resource community in the Dominican Republic. Partnerships developed for this BHC project were categorized under the Global Health Education Framework. Partners included a U.S-based university (trans-territorial partnership), a Dominican university, and various governmental, non-governmental, and community organizations in the Dominican Republic (territorial partnerships). Las Malvinas BHC project is an interdisciplinary and holistic approach to community health and well-being improvement that supports community members’ efforts and at the same time promotes participating students’ global health competence. Strategies, methods, the value …

Development Of Metals Corrosion Maps Of Arkansas And Maintenance Of Cross-Drains, Zahid Hossain, Ashraf Elsayed, Mdariful Hasan

Publications

Corrosion potential of metallic structures in alluvial soils is governed by chemical and electromagnetic properties of the soils. Geotechnical engineers are generally more concerned about different types of soils and their physical and mechanical properties than the chemical aspects. The main objective of this study is to analyze the geotechnical, electrochemical and electromagnetic properties of soils in Arkansas. Important parameters (e.g., soil resistivity) related to corrosion potential of metal culverts have been predicted through neural network (NN) models. The developed NN models have been trained and verified by using laboratory test results of soil samples collected from Arkansas Department of …

Lifecycle Environmental Impact Of High-Speed Rail System In The I-45 Corridor, Raghava Kommalapati, Venkata Botlaguduru, Doeun Choe

Publications

The Houston-Dallas (I-45) corridor is the busiest route among 18 traffic corridors in Texas. The expected population growth and the surge in passenger mobility could result in a significant impact on the regional environment. This study uses a life cycle framework to estimate the net change in environmental impact with the development of a high speed rail system (HSR) along the I-45 corridor. The study follows ISO 14040 principles and standards of life cycle assessment and uses SimaPro 8.5® software and the Ecoinvent 3.3 inventory database. Infrastructure construction, vehicle manufacturing, system operation, and end of life phases are included in …

Mapping Pps: A Case Study Of Story Map Journals For Interactive Health Reporting, Susan Rauch

Publications

A case study on the visual-material components of story map journals as visual, new media interactive health reporting used in population health surveillance. The story map journal is demonstrated an effective tool that visually reports, maps and tracks global support networks and health resources for post- polio (PPS) survivors.

Addressing Challenges For Mapping Irrigated Fields In Subhumid Temperate Regions By Integrating Remote Sensing And Hydroclimatic Data, Tianfang Xu, Jillian M. Deines, Anthony D. Kendall, Bruno Basso, David W. Hyndman

Publications

High-resolution mapping of irrigated fields is needed to better estimate water and nutrient fluxes in the landscape, food production, and local to regional climate. However, this remains a challenge in humid to subhumid regions, where irrigation has been expanding into what was largely rainfed agriculture due to trends in climate, crop prices, technologies and practices. One such region is southwestern Michigan, USA, where groundwater is the main source of irrigation water for row crops (primarily corn and soybeans). Remote sensing of irrigated areas can be difficult in these regions as rainfed areas have similar characteristics. We present methods to address …

Evaluation Of Suas Education And Training Tools, Brent Terwilliger, Scott Burgess, James Solti, Kristine Kiernan, Christian Janke, Andrew Shepherd

Publications

The wide distribution and demographic composition of students seeking small unmanned aircraft system (sUAS) education presents a need to fully understand the capabilities, limitations, and dependencies of effective training tools. Concepts, practices, and technologies associated with modeling and simulation, immersive gaming, augmented and mixed-reality, and remote operation have demonstrated efficacy to support engaged student learning and objective satisfaction. Identification and comparison of key attributes critical to an aviation educational framework, such as competency-based training, enables educational designers to identify those tools with the highest potential to support successful learning. A series of factors, such as system performance, regulatory compliance, environmental …

Clemson Libraries - Carnegie Research 1 Task Force Report, Clemson University Libraries

Publications

The Becoming a R1 Library Task Force was charged with exploring what it would mean for Clemson Libraries to become a “Research 1 Library.” Specifically, our purpose was to conduct research and collect data with the following aims in mind:

1. To evaluate Clemson’s current operations

2. To discern the differences between operations of spaces, services, collections, and resources at Clemson Libraries and 12 specific aspirational peer R1 Libraries

3. To offer recommendations to help Clemson Libraries bridge the gap

This report contains two sections: Section I outlines benchmarking against aspirational peer libraries and Section II contains recommendations based on …

Standardization Roadmap For Unmanned Aircraft Systems, Version 1.0, Kristine Kiernan, Christian Janke, Kenneth Witcher

Publications

This Standardization Roadmap for Unmanned Aircraft Systems, Version 1.0 (“roadmap”) represents the culmination of the UASSC’s work to identify existing standards and standards in development, assess gaps, and make recommendations for priority areas where there is a perceived need for additional standardization and/or pre-standardization R&D.

The roadmap has examined 64 issue areas, identified a total of 60 gaps and corresponding recommendations across the topical areas of airworthiness; flight operations (both general concerns and application-specific ones including critical infrastructure inspections, commercial services, and public safety operations); and personnel training, qualifications, and certification. Of that total, 40 gaps/recommendations have been identified as …

Variation In Regional And Landscape Effects On Occupancy Of Temperate Bats In The Southeastern U.S., Benjamin D. Neece, Susan C. Loeb, David S. Jachowski

Publications

Habitat loss, wind energy development, and the disease white-nose syndrome are major threats contributing to declines in bat populations in North America. In the southeastern US in particular, the recent arrival of white-nose syndrome and changes in landscape composition and configuration have driven shifts in bat species populations and distributions. Effective management strategies which address these large-scale, community-level threats require landscape-scale analyses. Our objective was to model the relationship between ecoregional and landscape factors and occupancy by all bat species in South Carolina, USA, during summer. We conducted acoustic surveys from mid-May through July 2015 and 2016 and evaluated temporally …

Bacteria And Competing Herbivores Weaken Top–Down And Bottom–Up Aphid Suppression, Carmen K. Blubaugh, Lynne Carpenter-Boggs, John P. Reganold, Robert N. Schaeffer, William E. Snyder

Publications

Herbivore suppression is mediated by both plant defenses and predators. In turn, plant defenses are impacted by soil fertility and interactions with soil bacteria. Measuring the relative importance of nutritional and microbial drivers of herbivore resistance has proven problematic, in part because it is difficult to manipulate soil-bacterial community composition. Here, we exploit variation in soil fertility and microbial biodiversity across 20 farms to untangle suppression of aphids (Brevicoryne brassicae) through bottom–up and top–down channels. We planted Brassica oleracea plants in soil from each farm, manipulated single and dual infestations of aphids alone or with caterpillars (Pieris …

Advancing The Open Modeling Interface (Openmi) For Integrated Water Resources Modeling, Caleb A. Buahin, Jeffery S. Horsburgh

Publications

The use of existing component-based modeling frameworks for integrated water resources modeling is currently hampered for some important use cases because they lack support for commonly used, topology-aware, spatiotemporal data structures. Additionally, existing frameworks are often accompanied by large software stacks with steep learning curves. Others lack specifications for deploying them on high performance, heterogeneous computing (HPC) infrastructure. This puts their use beyond the reach of many water resources modelers. In this paper, we describe new advances in component-based modeling using a framework called HydroCouple. This framework largely adopts the Open Modeling Interface (OpenMI) 2.0 interface definitions but demonstrates important …

From Sensors To Knowledge: The Challenge Of Training The Next Generation Of Data Analysts, Sonya A. H. Mcmullen, Troy Henderson, Scott Burgess, Patti J. Clark, David Ison

Publications

With the advent of commercial-off-the-shelf sensors for use in a variety of applications, integration with analytical software tools, and expansion of available archived datasets, there is a critical need to address the problem of transforming resultant data into comprehensible, actionable information for decision-makers through rigorous analysis. In previous research the participating authors have emphasized that users are often faced with the situation in which they are “drowning in a sea of data” but still “thirsting for knowledge”. The availability of analysis software, tools, and techniques provide opportunities for information collection of ever increasing complexity, but the need for the training …

Evaluating Attitudes And Experience With Emerging Technology In Cadets And Civilian Undergraduates, Richard Pak, Ericka Rovira, Anne Collins Mclaughlin, William Leidheiser

Publications

Existing research on the characteristics of digital natives, traditionally defined as those born after 1980, has shown subtle differences in how they approach technology compared with other cohorts. However, much of the existing research has focused on a limited set of conventional technologies, mostly related to learning. In addition, prior research has shown differences within this cohort in how they respond to autonomous technology (e.g., trust, reliance; Pak, Rovira, McLaughlin, & Baldwin, 2016Pak, R., Rovira, E., McLaughlin, A., & Baldwin, N.(2016). Does the domain of technology impact user trust? Investigating trust in automation across different consumer-oriented domains in young …