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Ethical Review Of Discipline-Based Education Research: Ensuring Fair Treatment For All, E. Elias Johnson Dec 2025

Ethical Review Of Discipline-Based Education Research: Ensuring Fair Treatment For All, E. Elias Johnson

Undergraduate Honors Theses

As universities grapple with funding cuts and heightened social and political pressure, the emerging field of Discipline-Based Education Research (DBER) aims to improve student learning outcomes through experimental instruction. While using instruction as an experiment, with hypotheses and experimental tests, DBER research may affect student learning and experience in unintended ways for students involved in these classes. To address this concern, I impose ethical frameworks, namely contractualism, to better understand how the values of each stakeholder, students enrolled in experimental courses and researchers using these courses to test hypotheses, interact. I also identify potential misalignments. Following a contractual ethical framework, …


Examining The Impact Of Social Media On The Nutrition Decisions Of College Students And Their Attitudes Toward Nutritional Guidelines, Katlyn Neibaur Dec 2025

Examining The Impact Of Social Media On The Nutrition Decisions Of College Students And Their Attitudes Toward Nutritional Guidelines, Katlyn Neibaur

Undergraduate Honors Theses

Social media is becoming an increasingly popular platform used by young people to garner information, but this information is not always accurate. Understanding the degree of influence social media has on college students’ dietary habits and attitudes toward nutritional guidelines is vital for improving nutrition literacy efforts and creating policies to protect against nutritional misinformation. This study examined the associations between the social media habits of college students, their attitudes toward nutritional guidelines, and their ability to detect nutritional misinformation. A cross-sectional survey was conducted with 457 undergraduate students at Brigham Young University. The content validity of the survey was …


Fabrication And Evaluation Of Large Alumina Crucibles By Vat Photopolymerization Additive Manufacturing For High-Temperature Actinide Chemistry, R. Joey Griffiths, Christy Santoyo, Jean-Baptise Forien, Bradley Childs, Andrew J. Swift, Andrew Cho, Alexander Wilson-Heid, George Ankrah, Devin Rappleye, Aiden A. Martin, Jason Jeffries, Kiel Holliday Dec 2025

Fabrication And Evaluation Of Large Alumina Crucibles By Vat Photopolymerization Additive Manufacturing For High-Temperature Actinide Chemistry, R. Joey Griffiths, Christy Santoyo, Jean-Baptise Forien, Bradley Childs, Andrew J. Swift, Andrew Cho, Alexander Wilson-Heid, George Ankrah, Devin Rappleye, Aiden A. Martin, Jason Jeffries, Kiel Holliday

Faculty Publications

Additive manufacturing (AM) offers opportunities to advance the design and function of ceramic tooling in high temperature actinide pyrochemistry. In technical ceramics such as alumina, conventional forming techniques often restrict design flexibility and can limit experimental progress. In this study, we investigate the use of vat photopolymerization (VP) with commercial resins to fabricate large-scale alumina crucibles, reaching dimensions up to 125 mm, which is significantly larger than typically reported for dense VP ceramics. Notably, these additively manufactured components are produced using consumer-grade hardware, which limits process control, but offers significant upside in scalability and accessibility. Using microscopy and X-ray computed …


Polydopamine-Coated Magnetic Nanoparticles Data, William G. Pitt Dec 2025

Polydopamine-Coated Magnetic Nanoparticles Data, William G. Pitt

ScholarsArchive Data

This data archive contains raw data and processed data related to research and development of magnetic nanoparticles that adhere to bacteria. This data is the foundation of data in the MS thesis of Bowen Houser, and publications and presentations related to that research effort. Polydopamine-coated magnetic nanoparticles are found to be very adhesive to gram-positive bacteria, and less adhesive to gram-negative bacteria. These data files contain information for S. aureus, S. epidermidis, S. mutans, E. coli, P. aeruginosa, and N. perflava. Some data include the kinetics of capture.


Data Release Of 5-Fluorouracil From Polylactic Acid Microparticles Containing Magnetic Nanoparticles, William G. Pitt Dec 2025

Data Release Of 5-Fluorouracil From Polylactic Acid Microparticles Containing Magnetic Nanoparticles, William G. Pitt

ScholarsArchive Data

This data archive contains raw data and processed data related to research and development of the release of the chemotherapy drug 5-fluororacil from microparticles of poly(lactic acid) which also contain superparamagnetic magnetite nanoparticles. This data is the foundation of data in the MS thesis of Tyler Green, and publications and presentations related to that research effort.


An Updated Perspective On Learning, Andrew S. Gibbons Iii Nov 2025

An Updated Perspective On Learning, Andrew S. Gibbons Iii

Faculty Publications

The subject of human learning is revisited. The emergence of new research findings in cognitive neuroscience and related disciplines using new imaging tools and techniques has revealed the existence of not one but two complementary learning systems. A newly-discovered prospection process, interacting with both memory systems, has been revealed as the pivotal mechanism of learning that leads to new experience and new memory records. The universal impact of emotion on this process also receives a new emphasis. This, coupled with the ever-present social environment, show learning to be the result of conversational activity. The existence of this more complete and …


Navigating Structure, Function, And Stability: Bridging Immunotherapy And Protein Engineering In The Era Of Machine Learning, Christopher J. Haynie Nov 2025

Navigating Structure, Function, And Stability: Bridging Immunotherapy And Protein Engineering In The Era Of Machine Learning, Christopher J. Haynie

Theses and Dissertations

The immune system is a remarkably adaptive network, yet it often fails to function optimally due to evasion strategies of pathogens or mutated cells. Many of these evasion strategies involve alterations in protein expression and function. Protein design is an area of computational biology with potential applications in improving protein function and therapeutic protein engineering. This thesis explores methods to enhance immune function and protein design across multiple scales, from molecular engineering of antibody fragments and chimeric antigen receptors (CARs) to cellular immune responses, and computational approaches for protein structure optimization. We characterize Thymidine Kinase 1-specific single-chain antibodies, highlighting both …


Strategic Management And Profit Optimization In Major League Baseball: A Framework For Sustainable Franchise Success, Cole Bourne Nov 2025

Strategic Management And Profit Optimization In Major League Baseball: A Framework For Sustainable Franchise Success, Cole Bourne

Undergraduate Honors Theses

This thesis examines the strategic, economic, and operational forces that drive profitability in Major League Baseball (MLB), positioning franchises not merely as sports teams but as complex, multi-revenue businesses. As the league evolves into a multi-billion-dollar industry shaped by expanding media rights, rising player salaries, and increasing market disparities, financial sustainability requires a blend of data-driven decision-making and modern business strategy. Through analysis of revenue streams, cost structures, market dynamics, and case studies, this work identifies the key levers that differentiate successful franchises from struggling ones.

The study outlines how media contracts—both national and local—serve as the backbone of MLB …


Modeling Xilinx 7-Series Fpgas Within The Verilog To Routing Project, Joshua Peter Fife Nov 2025

Modeling Xilinx 7-Series Fpgas Within The Verilog To Routing Project, Joshua Peter Fife

Theses and Dissertations

Verilog to Routing (VTR) is the most widely used open-source tool for experimenting with FPGA placement and routing algorithms, as well as assessing how architectural changes impact routability, timing, and power consumption.

Historically, VTR has been tailored specifically for Intel’s Altera-like FPGAs, lacking support for key features that would enable greater flexibility in describing other architectures. In this work, we introduce a fully functional 7-Series architecture capture from the Xilinx family, utilizing VTR’s scalable architecture description language. We detail the necessary upgrades to achieve this description, including the ability to describe L and T-shaped wires and target hard multipliers with …


Chronosort: Revealing Hidden Dynamics In Alphafold3 Structure Predictions, Matthew J. Argyle, William P. Heaps, Corbyn Kubalek, Spencer Gardiner, Bradley C. Bundy, Dennis Della Corte Nov 2025

Chronosort: Revealing Hidden Dynamics In Alphafold3 Structure Predictions, Matthew J. Argyle, William P. Heaps, Corbyn Kubalek, Spencer Gardiner, Bradley C. Bundy, Dennis Della Corte

Faculty Publications

Protein function emerges from dynamic conformational changes, yet structure prediction methods provide only static snapshots. While AlphaFold3 (AF3) predicts protein structures, the potential for extracting dynamic information from its ensemble predictions has remained underexplored. Here, we demonstrate that AF3 structural ensembles contain substantial dynamic information that correlates remarkably well with molecular dynamics simulations (MD). We developed ChronoSort, a novel algorithm that organizes static structure predictions into temporally coherent trajectories by minimizing structural differences between neighboring frames. Through systematic analysis of four diverse protein targets, we show that root-mean-square fluctuations derived from AF3 ensembles can correlate strongly with those from MD …


Contextual Bandits For Non-Stationary Multi-Agent Environments Using Assumptions-Alignment Tracking, Ethan Pedersen Nov 2025

Contextual Bandits For Non-Stationary Multi-Agent Environments Using Assumptions-Alignment Tracking, Ethan Pedersen

Theses and Dissertations

A common challenge in AI is that of an agent possessing N distinct behaviors, each of which works effectively in certain tasks and circumstances, to choose from at any particular time. A popular approach to learn optimal selections in such contexts is found in bandit algorithms. However, traditional bandits often (1) assume the environment is stationary, (2) focus on asymptotic performance, and (3) do not incorporate available external information about the environment. While contextual bandits that do consider external information are designed to combat one of these challenges, the others remain problematic in realistic domains. This is especially true of …


On The Derivation Of The Ungerboeck Observation Model For Offset Qpsk, Michael Rice Nov 2025

On The Derivation Of The Ungerboeck Observation Model For Offset Qpsk, Michael Rice

Faculty Publications

This report derives maximum likelihood sequence estimator for Offset QPSK (OQPSK) operating over frequency selective channel. The maximum likelihood sequence estimator takes the form of the Viterbi Algorithm operating on a trellis defined intersymbol interference caused by the frequency selective channel. Because the distorted pulse shape does not satisfy the Nyquist no-ISI criterion, the matched filter output samples contain correleted noise. The derivation uses Ungerboeck’s method to create a recursive causal metric suitable for use with the Viterbi Algorithm.


The Initial Calvinistic Business Spirit, Rev. Dr. David W. Hall Nov 2025

The Initial Calvinistic Business Spirit, Rev. Dr. David W. Hall

Swiss American Historical Society Review

Within days of John Calvin’s death on May 27, 1564, his mantle of leadership passed to Theodore Beza (1520-1605). Geneva found itself on the world’s stage as various groups, such as Catholics and Anabaptists, hoped to overturn the newfound Calvinist establishment. The crucial forty year period between the death of Calvin (1564) and the death of Beza (1605) determined whether or not Calvinism would be a lasting force in Geneva and elsewhere. Historian William Monter attributes much of Geneva’s growth and stability during this period to the intellectual magnetism of Calvinism.


Pyrolysis Of Foliage From 24 U.S. Plant Species With Recommendations For Physics-Basedwildland Fire Models, Mahsa Alizadeh, Thomas H. Fletcher Oct 2025

Pyrolysis Of Foliage From 24 U.S. Plant Species With Recommendations For Physics-Basedwildland Fire Models, Mahsa Alizadeh, Thomas H. Fletcher

Faculty Publications

Pyrolysis of 24 samples of foliage from three U.S. regions with frequent wildland fires (Southeastern U.S., northern Utah and Southern California) was studied in a fuel-rich flat-flame burner system at 765 ◦C (for Southeastern U.S. samples) and 725 ◦C (for northern Utah and Southern California species), with a heating rate of approximately 180 ◦C/s. These conditions were selected to mimic the conditions of wildland fires. Individual plant samples were introduced to the high temperature zone in a flat-flame burner and pyrolysis products were collected. Tar was extracted and later analyzed by GC/MS. Light gases were collected and analyzed by GC/TCD. …


Comparison Of Road-Side Emissions Measurements From Heavy-Duty Diesel Vehicles To Moves5, Amber L. Gurecki Allen, Emma Reeves, Darrell Sonntag Oct 2025

Comparison Of Road-Side Emissions Measurements From Heavy-Duty Diesel Vehicles To Moves5, Amber L. Gurecki Allen, Emma Reeves, Darrell Sonntag

FEAT Publications

No abstract provided.


Prioritizing Data Quality In Machine Learning For Thermophysical Property Prediction: A Case Study On Normal Boiling Points Of Organic Compounds, Frank T. Mtetwa, Neil F. Giles, W. Vincent Wilding, Thomas A. Knotts Iv Oct 2025

Prioritizing Data Quality In Machine Learning For Thermophysical Property Prediction: A Case Study On Normal Boiling Points Of Organic Compounds, Frank T. Mtetwa, Neil F. Giles, W. Vincent Wilding, Thomas A. Knotts Iv

Faculty Publications

Accurate prediction of the normal boiling point (NBP) of organic compounds is essential for the design and optimization of chemical processes. This is especially true for modern practice since experimental measurements of many compounds of contemporary importance are difficult to perform due to cost, purity, and stability issues. Traditional methods, such as group contribution (GC) and quantitative structure–property relationship (QSPR) approaches, are limited by inflexibility and diminishing accuracy in these situations. Machine learning (ML) approaches have shown promise but are plagued by two weaknesses for the nonspecialist: ease of use (especially compared to GC and QSPR) and proven accuracy for …


Evaluating Platinum, Gold, Glassy Carbon, And Graphite Anodes For Chlorine Evolution In Molten Calcium Chloride Salt, Cameron Vann, Shelssie Klvacek, Carlos Mejia, Devin Rappleye Oct 2025

Evaluating Platinum, Gold, Glassy Carbon, And Graphite Anodes For Chlorine Evolution In Molten Calcium Chloride Salt, Cameron Vann, Shelssie Klvacek, Carlos Mejia, Devin Rappleye

Faculty Publications

The chlorine evolution reaction (CER) in molten CaCl2 plays a critical role in high-temperature electrochemical processes, including chlorination, metal refining, and used nuclear fuel treatment. This study evaluates the performance of gold (Au), platinum (Pt), glassy carbon (GC), and graphite anodes for the CER under consistent electrochemical conditions. Anode performance was assessed based on chlorine (Cl2) gas evolution, material robustness, and kinetic parameters. Cl2 generation was directly confirmed using quadrupole mass spectrometry for Pt, GC, and graphite anodes. GC and graphite demonstrated stable and sustained CER activity. Pt and Au were shown to have significant mass …


Manufacturing Of Origami-Inspired Mechanisms Via Sheet Lamination, Tyler R. Stevens Oct 2025

Manufacturing Of Origami-Inspired Mechanisms Via Sheet Lamination, Tyler R. Stevens

Theses and Dissertations

Origami-inspired mechanisms combine compact, lightweight, reconfig- urable devices, yet despite decades of growth in origami theory, industrial uptake remains limited. As a result, origami predominately appears as prototypes or in low-volume, bespoke applications. Manufacturing (which has received little development) remains the chief bottleneck: most origami fabrication routes are still under-explored, labor-intensive, and fundamentally unsuited to scale. This dissertation addresses that barrier by establishing a process-centric framework for origami manufacturing and demonstrates fabrication workflows capable of transitioning designs from prototypes to production. A survey of more than 180 publications on origami manufacturing approaches yields a manufacturing-oriented taxonomy that links each surrogate …


Using Serial Open Circuit Potentiometry To Study Ce And Gd Deposition In Molten Licl-Kcl Eutectic, Ranon G. Fuller, Guy L. Fredrickson, Devin Rappleye Oct 2025

Using Serial Open Circuit Potentiometry To Study Ce And Gd Deposition In Molten Licl-Kcl Eutectic, Ranon G. Fuller, Guy L. Fredrickson, Devin Rappleye

Faculty Publications

The ability to electrochemically separate individual species in a pyrochemical reprocessing salt relies on first being able to detect a separation in their reaction potentials. This requires the ability to measure reaction potentials with extreme precision. In this work, we introduce a novel technique called serial open circuit potentiometry (SOCP) and demonstrate its effectiveness at precisely measuring metal deposition reaction potentials. SOCP has several advantages over traditional open circuit potentiometry, including its abilities to quantify the error of measured equilibrium potentials by averaging many individual OCP measurements, determine overpotential deposition nucleation potentials to instrument precision, and simultaneously determine the nucleation …


Generative Ai In Chinese Esl Students’ Writing Processes: Stages, Methods, And Language Use, Runzhou Shan Oct 2025

Generative Ai In Chinese Esl Students’ Writing Processes: Stages, Methods, And Language Use, Runzhou Shan

Journal of Response to Writing

This paper explores how Chinese ESL students utilize Generative AI (Gen AI) in their writing processes, focusing on the stages of writing, specific methods of use, and language practices. The study was carried out in an English-medium instruction (EMI) environment at a Sino-American university in China. Data were collected through online surveys with 157 participants and follow-up interviews with nine students. Quantitative analysis of the survey data uncovered general patterns, while analysis of the interview data, using Polio & Freedman’s (2017) coding method to identify themes, provided detailed illustrations. Subsequent analysis indicates that students primarily engage with Gen AI in …


Fall 2025 Volume 11 Issue 2: Full Issue Oct 2025

Fall 2025 Volume 11 Issue 2: Full Issue

Journal of Response to Writing

No abstract provided.


Creativity In Large Language Models, Robert Kenneth Morain Oct 2025

Creativity In Large Language Models, Robert Kenneth Morain

Theses and Dissertations

As artificial intelligence systems approach human-level performance across a wide variety of domains, creative domains remain a critical yet underexplored area of research. Unlike traditional AI tasks with well-defined objectives, creative tasks rely on inherently subjective measures, making them particularly challenging for machines that lack human experiential context. This dissertation establishes the fundamental importance of creativity in AI systems and presents methods for improving and evaluating the creative capabilities of LLMs on the pathway toward AGI. This work addresses and examines key limitations in current LLM creativity through model innovations, development frameworks, and comparative studies. The dissertation develops novel architectural …


Integration Of Sco2 Brayton Cycles With Carbon Capture Systems, Nathan C. Stearns, Rajarshi Roy, Brian Schooff, Andrew Chiodo, Andrew R. Fry, Brian D. Iverson Oct 2025

Integration Of Sco2 Brayton Cycles With Carbon Capture Systems, Nathan C. Stearns, Rajarshi Roy, Brian Schooff, Andrew Chiodo, Andrew R. Fry, Brian D. Iverson

Faculty Publications

Increasing global energy consumption and greater market penetration of intermittent energy sources require a baseline power source to enable renewable energies. Here, a case is made for pairing supercritical CO2 Brayton cycles with carbon capture to create low-emission, high-efficiency, combustion-based power generation systems. Pairing carbon capture and storage (CCS) systems with supercritical carbon dioxide (sCO2) Brayton cycles enables the reduction of greenhouse gas emissions in combustion systems, but with an associated energy cost. Three different representative models of CCS systems (oxyfuel combustion, amine scrubbing, and cryogenic carbon capture) are considered for pairing with an sCO2 Brayton cycle, …


Cultural Dynamics And Reverse Culture Shock: A Strategy For Building Sustainable Human Resources In International Ngos, Haruka Minemura, Yuko Nishide Sep 2025

Cultural Dynamics And Reverse Culture Shock: A Strategy For Building Sustainable Human Resources In International Ngos, Haruka Minemura, Yuko Nishide

Journal of Nonprofit Innovation

This study explores the dynamics of cultural conflict between expatriate and local staff in international NGOs (INGOs) and proposes a framework for sustainable human resource management. While existing INGO management literature emphasizes cultural factors in expatriate-local relations, limited empirical evidence explains the developmental process of these relationships and their implications. Through qualitative case study methodology, this research addresses the question: How do cultural conflicts between expatriates and local staff evolve within INGOs, and what management strategies emerge from these dynamics?

The findings reveal a dual-phase conflict management model where both expatriates and local staff experience sequential cultural tensions. The first …


Figure Data For "Investigation Of A Stable And Saturated Reference Electrode Using Metal Chlorides And Oxides In Eutectic Licl-Kcl Molten Salts", Carlos Meija, Devin Rappleye Sep 2025

Figure Data For "Investigation Of A Stable And Saturated Reference Electrode Using Metal Chlorides And Oxides In Eutectic Licl-Kcl Molten Salts", Carlos Meija, Devin Rappleye

ScholarsArchive Data

This data set provide machine readable .csv files for the figures in the publication entitled "Investigation of a stable and saturated reference electrode using metal chlorides and oxides in eutectic LiCl-KCl molten salts" in Nuclear Engineering and Technology (Volume 58, Issue 1, January 2026, 103875).


Resolution Of Physics And Deep Learning-Based Protein Engineering Filters: A Case Study With A Lipase For Industrial Substrate Hydrolysis, Spencer Gardiner, Peter Dollinger, Filip Kovacic, Jörge Pietruszka, Daniel Ess, Karl-Erich Jaeger, Gunnar F. Schröder, Dennis Della Corte Sep 2025

Resolution Of Physics And Deep Learning-Based Protein Engineering Filters: A Case Study With A Lipase For Industrial Substrate Hydrolysis, Spencer Gardiner, Peter Dollinger, Filip Kovacic, Jörge Pietruszka, Daniel Ess, Karl-Erich Jaeger, Gunnar F. Schröder, Dennis Della Corte

Faculty Publications

Computational enzyme design remains a powerful yet imperfect tool for optimizing biocatalysts, especially when targeting non-natural substrates. Using design tools we investigated Pseudomonas aeruginosa LipA, a lipase with a flexible lid domain crucial for substrate binding and turnover, aiming to enhance its hydrolysis of the industrially relevant substrate Roche ester. We generated an initial set of single-point mutations based on structural proximity to the active site and evaluated their effects using a computational pipeline integrating molecular dynamics (MD) simulations, density functional theory (DFT) calculations, and ensemble-based energy scoring. While we identified several active variants, attempts to rank them by activity …


A C++ Library For Turbulent Mixing Simulation Using Hierarchical Parcel Swapping (Hips), Masoomeh Behrang, Tommy Starick, Heiko Schmidt, David O. Lignell Sep 2025

A C++ Library For Turbulent Mixing Simulation Using Hierarchical Parcel Swapping (Hips), Masoomeh Behrang, Tommy Starick, Heiko Schmidt, David O. Lignell

Faculty Publications

Turbulence models are crucial for simulating flows at all scales, capturing both large-scale structures and small-scale mixing. Software libraries that implement such models should support modular integration, customization, and scalability across different simulation frameworks. This paper presents Hierarchical Parcel Swapping (HiPS), a C++ library documented with Doxygen and available on GitHub. HiPS supports both mixing and reactions and can be used as a standalone model or as a subgrid model in CFD simulations. The code includes examples for users to run it as a standalone model. Additionally, considerations for using it as a subgrid model are provided.


Magnetic Nanoparticles Tethered With Zn–Dpa For The Removal Of Bacteria From Red Blood Cell Suspension, Tochukwu P. Okonkwo, Rajendra P. Gautam, Jacob B. Limburg, Breckin L. Forstrom, Bowen J. Houser, Aaron Rappleyea, Tyler P. Green, Joseph P. Talley, Alexander D. Daum, Stacey J. Smith, Karine Chesnel, William G. Pitt, Roger G. Harrison Sep 2025

Magnetic Nanoparticles Tethered With Zn–Dpa For The Removal Of Bacteria From Red Blood Cell Suspension, Tochukwu P. Okonkwo, Rajendra P. Gautam, Jacob B. Limburg, Breckin L. Forstrom, Bowen J. Houser, Aaron Rappleyea, Tyler P. Green, Joseph P. Talley, Alexander D. Daum, Stacey J. Smith, Karine Chesnel, William G. Pitt, Roger G. Harrison

Faculty Publications

Bacterial infections continue to drive the need for more effective and rapid methods for bacterial analysis. To address this, magnetic nanoparticles (MNPs) have emerged as promising tools, especially when their surfaces are modified with bacteria binders. The bis-zinc–dipicolylamine (Zn–DPA) complex is known for its broad affinity to bacteria. We have synthesized MNPs via a thermal decomposition method, encapsulated them in silica, modified their surface with Zn–DPA, and tested their ability to remove bacteria. The MNPs retain their superparamagnetic properties and crystallite structure after being encapsulated. The MNPs coated with silica and Zn–DPA effectively bind and remove both Gram-positive and Gram-negative …


Civilization: The Gaze Of Photography, William Alexander Ewing Sep 2025

Civilization: The Gaze Of Photography, William Alexander Ewing

Comparative Civilizations Review

If the lifetime of our species were imagined as a single 24-hour day, then civilization makes its appearance at the 23.02 mark. And photography? It comes on stage under a minute before midnight.

How marvelous it would have been to have had photography recording our lives throughout those millennia.


Beyond Earth: Strategic Pathways To A Multiplanet Civilization And The Case For Mars Settlement, Andrew Targowski Sep 2025

Beyond Earth: Strategic Pathways To A Multiplanet Civilization And The Case For Mars Settlement, Andrew Targowski

Comparative Civilizations Review

This research provides a comprehensive and interdisciplinary exploration of the transition toward a multiplanet civilization, with a special focus on Mars as humanity’s first major step beyond Earth. By addressing technological, political, economic, and ethical dimensions, it aims to inform policymakers, scientists, and the public about the feasibility, challenges, and philosophical implications of interplanetary expansion.

As humanity approaches the threshold of becoming a multiplanet civilization, it faces unprecedented scientific, technological, economic, and ethical challenges. This paper explores the rationale, methodologies, and critical considerations for establishing sustainable human settlements beyond Earth, with a particular focus on Mars. By analyzing advances in …