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Articles 1 - 30 of 43
Full-Text Articles in Risk Analysis
Environmental Ethics And Impact Of Artificial Intelligence Data Centers, Jacky Yang
Environmental Ethics And Impact Of Artificial Intelligence Data Centers, Jacky Yang
Discovery Day - Daytona Beach
Data centers, including artificial intelligence (AI) facilities, serve as the backbone for many modern digital services and products. With the rapid digitization of society, the expansion of these centers in the United States has accelerated significantly. From an anthropocentric and utilitarian perspective, they provide economic benefits, supporting employment and generating public revenue. However, they can also create a significant amount of environmental and societal challenges. From an ecocentric and environmental justice perspective, AI data centers has contributed to increased competition for the limited resources, such as water, electricity, and land and has been linked to rising utility costs, noise pollution, …
An Innovative Approach To Real-Time Noise Monitoring And Detection In Airport Ramp Operations, Grace Hamilton, Nicole E. Egan, Anderson Peralta, Deyaneira Rodriguez, Maria G. Valentinez
An Innovative Approach To Real-Time Noise Monitoring And Detection In Airport Ramp Operations, Grace Hamilton, Nicole E. Egan, Anderson Peralta, Deyaneira Rodriguez, Maria G. Valentinez
Discovery Day - Daytona Beach
Airport ramp personnel are routinely exposed to hazardous noise levels exceeding occupational safety thresholds, increasing the risk of permanent hearing loss, degraded communication, and operational incidents. Traditional ramp noise management relies primarily on periodic monitoring and personnel protective equipment (PPE), which limits real-time hazard recognition and a proactive risk mitigation strategy. The purpose of this study is to evaluate the safety and financial effectiveness of implementing a real-time noise monitoring and detection system within airport ramp operations in alignment with Safety Management System (SMS) principles. A literature review, Preliminary Hazard Analysis (PHA), and financial cost-benefit analysis were conducted to compare …
A System Safety Approach To Assuring Artificial Intelligence Enabled Functions In Civil Aviation, Evan Bear, Quinn Galen
A System Safety Approach To Assuring Artificial Intelligence Enabled Functions In Civil Aviation, Evan Bear, Quinn Galen
Discovery Day - Daytona Beach
Artificial intelligence and machine learning techniques are increasingly proposed for use in safety-critical civil aviation functions including perception decision support and pilot assistance. Existing aviation safety and certification standards such as ARP4754A and DO-178C were developed under assumptions of determinism explicit requirements and complete behavioral specification which do not directly apply to learning-enabled systems. This mismatch has created uncertainty regarding how artificial intelligence enabled avionics can be safely assured and certified. This paper presents a system safety approach for assuring artificial intelligence enabled functions within existing aviation certification frameworks. In this approach safety assurance is based on explicitly identifying the …
A Hybrid Llm-Srgm Framework For Ai-Enabled Reliability Assessment In Safety-Critical Software Systems, Caleb Stone, Shrenik Jadhav
A Hybrid Llm-Srgm Framework For Ai-Enabled Reliability Assessment In Safety-Critical Software Systems, Caleb Stone, Shrenik Jadhav
Discovery Day - Daytona Beach
Ensuring the reliability of software intensive and safety critical systems is a persistent challenge across aerospace, defense, transportation, and other mis- sion focused domains. Traditional software relia- bility growth models (SRGM) provide useful quanti- tative insight into defect discovery trends, but they rely mostly only on numerical failure data and do not use the rich contextual information contained in test logs, anomaly reports, and engineering notes. This paper presents a hybrid framework that com- bines semantic features extracted by a large lan- guage model (LLM) with a non-homogeneous Pois- son process (NHPP) based software reliability growth model. The LLM analyzes …
Cars Imass - Comparing Llm Vs Human Operator Effectiveness In Multi-Agent Swarm Coordination, Gatlin Nelson
Cars Imass - Comparing Llm Vs Human Operator Effectiveness In Multi-Agent Swarm Coordination, Gatlin Nelson
Discovery Day - Daytona Beach
Title: Dual-Perspective Risk Analysis for Human-LLM Decision Comparison in UAV Swarm Navigation Unmanned aerial vehicle (UAV) swarms operating in low-altitude wireless network environments encounter localized disruptions that degrade positioning and navigation metrics. These disruptions are modeled as geographic failure zones with defined boundaries. A UAV discovers a zone by entering it and observing degraded performance on its onboard systems. This work assumes that affected UAVs can autonomously retreat to safety using onboard sensors and focuses on the subsequent rerouting decision. Once recovered, the system generates candidate repositioning points surrounding the vehicle, each scored using Conditional Value-at-Risk (CVaR). A human operator …
An Exploration Into Aviation Safety & Security In Nigeria, Hana Marz, Nicholas Degarmo, Kathrine Lopez, Michael Chrisman
An Exploration Into Aviation Safety & Security In Nigeria, Hana Marz, Nicholas Degarmo, Kathrine Lopez, Michael Chrisman
Discovery Day - Daytona Beach
Aviation safety and security standards are fundamental for enabling the reliability and sustainability of aviation operations. Aviation safety and security are influenced by organizational and institutional standards, as well as the application of human factors principles. This paper aims to explore the regional variances of aviation safety and security culture within Nigeria. Nigeria has taken steps to align with international aviation standards, offering insight into how the region shapes its regulatory environment, organizational culture, and how cultural factors affect safety and security practices. However, Nigeria continues to face challenges such as inconsistent regulatory enforcement and limited safety reporting, which impact …
Bridging The Gap: Cybersecurity And Occupational Safety Frameworks In Ai Data Centers, Athena Leader
Bridging The Gap: Cybersecurity And Occupational Safety Frameworks In Ai Data Centers, Athena Leader
Discovery Day - Daytona Beach
Bridging the Gap: Cybersecurity and Occupational Safety Frameworks in AI Data Centers As artificial intelligence infrastructure expands, AI data centers represent a critical and underexamined convergence of cybersecurity and occupational safety risk. Existing frameworks such as NIST, OSHA, and ISO standards were largely developed in isolation, leaving significant gaps in how organizations manage risks that are simultaneously digital and physical in nature. This study investigates the gaps and overlaps between cybersecurity and occupational safety frameworks as they apply specifically to AI data center environments. Drawing on a targeted literature review of established regulatory and standards-based frameworks, this research identifies where …
Modeling Psychological And Demographic Predictors Of Analog Astronaut Mission Participation, Christian Yeara Herrero, Frányerson R. López Ochoa, Mackenzie Thomas, Phoebe Fleshman
Modeling Psychological And Demographic Predictors Of Analog Astronaut Mission Participation, Christian Yeara Herrero, Frányerson R. López Ochoa, Mackenzie Thomas, Phoebe Fleshman
Student Research Symposium (SRS)
As plans accelerate to send humans into orbit and to other celestial bodies, whether to lunar outposts, Mars bases, or commercial space stations, it becomes increasingly important to understand how to maintain healthy, cohesive, and productive crews in confined, isolated environments. A practical way to study human adaptation to these conditions is through analog astronaut missions on Earth. Although imperfect, these facilities provide the closest Earth-based simulation of space mission conditions. Currently, over ten analog research centers are operating worldwide, including NASA’s Human Exploration Research Analog (HERA) and the Crew Health and Performance Exploration Analog (CHAPEA) habitats. Selecting and recruiting …
Security Risks Of Ai-Generated Code In Software Development, Maame Agyekum
Security Risks Of Ai-Generated Code In Software Development, Maame Agyekum
Cybersecurity Undergraduate Research Showcase
Artificial Intelligence(AI) has recently forced change globally, public Institutions and as well as national security. Advancement in machine learning, mixed datasets have enabled significantly powerful systems while being capable of operating at a large scale. As innovation and technological advancement increases at rapid pace, issues like a regulation gap where scientific development far exceeds the government’s ability to regulate and establish an effective oversight. As a result, Artificial Intelligence has been controlled by private companies, leading to an industry where speed and profit often outweigh safety and ethical responsibility.
A Data-Driven Framework For Modeling Car-Following Behavior Using Conditional Transfer Entropy And Dynamic Mode Decomposition, Poorendra Ramlall
A Data-Driven Framework For Modeling Car-Following Behavior Using Conditional Transfer Entropy And Dynamic Mode Decomposition, Poorendra Ramlall
Student Research Symposium (SRS)
Accurate modeling of car-following behavior is essential for understanding traffic dynamics and enabling predictive control in intelligent transportation systems. This study presents a novel data-driven framework that combines information-theoretic input selection via conditional transfer entropy (CTE) with dynamic mode decomposition with control (DMDc) for identifying and forecasting car-following dynamics. In the first step, CTE is employed to identify the specific vehicles that exert directional influence on a given subject vehicle, thereby systematically determining the relevant control inputs for modeling its behavior. In the second step, DMDc is applied to estimate and predict the dynamics by reconstructing the closed-form expression of …
Artificial Intelligence In Aviation: Benefits, Concerns, And Regulations, Aarohi Srivastava
Artificial Intelligence In Aviation: Benefits, Concerns, And Regulations, Aarohi Srivastava
Student Research Symposium (SRS)
As artificial intelligence (AI) becomes increasingly integrated into aviation systems, understanding its implications for safety and regulation is critical. This research examines the current state of AI implementation in aviation, exploring both transformative benefits and significant concerns in this high-stakes environment. AI's strengths, including rapid large-scale data processing, predictive capabilities, and pattern recognition, offer substantial operational advantages. However, these benefits must be balanced against key concerns including liability issues, potential loss of pilot competency through over-reliance, the "black box" problem of AI explainability, emergent system behaviors, and training requirements. This project analyzes current regulatory frameworks from major aviation authorities including …
Osha’S Knocking! A Descriptive Cross-Sectional Analysis Of Inspections At Private Universities In Florida., Acuna Gonzalez Santiago
Osha’S Knocking! A Descriptive Cross-Sectional Analysis Of Inspections At Private Universities In Florida., Acuna Gonzalez Santiago
Student Research Symposium (SRS)
Section 8 of the Occupational Safety and Health Act (OSH Act) empowers OSHA to conduct inspections and enforce standards prescribed in Title 29 of the Code of Federal Regulations; however, limited literature and lack of descriptive statistics exist regarding oversight and inspection patterns across Higher Education Institutions (HEI) in Florida. Assessing these patterns is paramount for aiding higher education stakeholders in evaluating their hazard identification and control techniques. This descriptive cross-sectional study examined OSHA's inspection database — January 1, 2015 to October 20, 2025 — indexed by NAICS code 611310, analyzing all 32 four-year non-profit HEI with at least 1,000 …
Long Term Financial Analysis For Opry Mills Hotel And Resort, Eli Lockert
Long Term Financial Analysis For Opry Mills Hotel And Resort, Eli Lockert
Student Scholar Symposium
In 2024 a Lipscomb Senior Design team completed a design project for the Opryland Hotel. The project, aimed at reducing humidity levels in the large greenhouse-like atrium and overall power usage, included multiple phases and equipment. This research continues the work of that team in an effort to determine whether the proposed system is a cost-effective approach. The research specifically evaluates the system outlined in the Opryland Final Design Report, completed in April of 2024. Using a holistic approach, this study employs life-cycle cost analysis (LCCA) to assess the economic feasibility of the proposed system through various empirical methods. A …
Sustainable Water Treatment Systems In The La Vega Region Of The Dominican Republic, Hannah Fulton, Justina Thomae, Jorge Del Angel, Ramin Ansari, Karina Peate, Rylan Elliott, Adam Spieth, Thalia May, Morgan Jung, Ernest R. Blatchley Iii, Rebecca C. Johnson
Sustainable Water Treatment Systems In The La Vega Region Of The Dominican Republic, Hannah Fulton, Justina Thomae, Jorge Del Angel, Ramin Ansari, Karina Peate, Rylan Elliott, Adam Spieth, Thalia May, Morgan Jung, Ernest R. Blatchley Iii, Rebecca C. Johnson
Graduate Industrial Research Symposium
Purdue University's service-learning course, Water Supply in Developing Countries (WSDC) is dedicated to ensuring access to safe drinking water in the La Vega region of the Dominican Republic. The focus in the current academic year is to enhance the functionality, sustainability, and independence of community-based water treatment systems installed by previous WSDC students. Despite the construction of four water systems since 2012, operational challenges ensued, rendering them currently inoperable. Our objective is to learn from past mistakes, restore the systems and ensure their continuous functionality. During the fall semester, class members assessed repair needs in two communities with existing systems, …
Going Airborne: Kent State's Pioneering Leap Into Integrated Advanced Air Mobility, Jason T. Lorenzon
Going Airborne: Kent State's Pioneering Leap Into Integrated Advanced Air Mobility, Jason T. Lorenzon
National Training Aircraft Symposium (NTAS)
This proposal centers on the development of a Concept of Operations in Advanced Air Mobility (AAM). Kent State University's College of Aeronautics and Engineering is poised to pioneer the integration of drones and electric Vertical Takeoff and Landing (eVTOL) systems, bridging the gap between its campus and airport by transporting students and faculty the 3NM distance from campus to the airport and back by a UAV. Beyond a standard research initiative, this proposal signifies a groundbreaking effort to reshape the landscape of educational aeronautics and Advanced Air Mobility and Urban Air Mobility. Our overarching goal is to transcend conventional boundaries …
The Transformative Integration Of Artificial Intelligence With Cmmc And Nist 800-171 For Advanced Risk Management And Compliance, Mia Lunati
Cybersecurity Undergraduate Research Showcase
This paper explores the transformative potential of integrating Artificial Intelligence (AI) with established cybersecurity frameworks such as the Cybersecurity Maturity Model Certification (CMMC) and the National Institute of Standards and Technology (NIST) Special Publication 800-171. The thesis argues that the relationship between AI and these frameworks has the capacity to transform risk management in cybersecurity, where it could serve as a critical element in threat mitigation. In addition to addressing AI’s capabilities, this paper acknowledges the risks and limitations of these systems, highlighting the need for extensive research and monitoring when relying on AI. One must understand boundaries when integrating …
Kwad - Ksu All Weather Autonomous Drone, Nick Farinacci, Sebastian Gomez, Stewart Baker, Ed Sheridan
Kwad - Ksu All Weather Autonomous Drone, Nick Farinacci, Sebastian Gomez, Stewart Baker, Ed Sheridan
Symposium of Student Scholars
"KWAD" or "KSU all-Weather Autonomous Drone" project was sponsored by Ultool, LLC to the KSU Research and Service Foundation to create a lightweight drone capable of capturing HD video during all-weather operations. The conditions of all-weather operation include rainfall of one inch per hour and wind speeds of up to twenty miles per hour. In addition, a global minimum structural safety factor of two is required to ensure the system's integrity in extreme weather conditions. Potential mission profiles include autonomous aerial delivery, topological mapping in high moisture areas, security surveillance, search and rescue operations, emergency transportation of medical supplies, and …
Ransomware: Evaluation Of Mitigation And Prevention Techniques, Juanjose Rodriguez-Cardenas
Ransomware: Evaluation Of Mitigation And Prevention Techniques, Juanjose Rodriguez-Cardenas
Symposium of Student Scholars
Ransomware is classified as one of the main types of malware and involves the design of exploitations of new vulnerabilities through a host. That allows for the intrusion of systems and encrypting of any information assets and data in order to demand a sum of payment normally through untraceable cryptocurrencies such as Monero for the decryption key. This rapid security threat has put governments and private enterprises on high alert and despite evolving technologies and more sophisticated encryption algorithms critical assets are being held for ransom and the results are detrimental, including the recent Colonial Pipeline ransomware attack in 2021 …
Flood Risk Data For Highway Projects, Nabil Ghalayini
Flood Risk Data For Highway Projects, Nabil Ghalayini
Purdue Road School
This presentation will provide project managers and engineers with a clear understanding of available FEMA Risk MAP flood hazard data to better inform project design. This presentation will broadly define flood risk, review the FEMA flood risk database as a source of risk parameters, contrast the regulatory Special Flood Hazard Area (SFHA) with Risk MAP depth and probability grids, and highlight the variability of risk within the SFHA.
Mybody Safety System, Diego Draguicevich, Nicholas Rodriguez
Mybody Safety System, Diego Draguicevich, Nicholas Rodriguez
Discovery Day - Prescott
To any university, the safety of students, faculty, and staff when on campus is paramount. To enhance safety, many campuses have “safety stations” of some sort scattered throughout. However, campuses such as Embry-Riddle Prescott also have hiking trails nearby. Safety pillars on hiking trails would be prohibitively expensive to build and maintain, and would also be less useful due to a longer response time for security officers. The MyBody System seeks to resolve these issues by introducing a system which is affordable, self-enclosed, solar powered and easy to maintain. The system would achieve this via custom wireless speakers disguised as …
Assessing The Alignment Of Social Robots With Trustworthy Ai Design Guidelines: A Preliminary Research Study, Abdikadar Ali, Danielle Thaxton, Ankur Chattopadhyay
Assessing The Alignment Of Social Robots With Trustworthy Ai Design Guidelines: A Preliminary Research Study, Abdikadar Ali, Danielle Thaxton, Ankur Chattopadhyay
Posters-at-the-Capitol
The last couple of years have seen a strong movement supporting the need of having intelligent consumer products align with specific design guidelines for trustworthy artificial intelligence (AI). This global movement has led to multiple institutional recommendations for ethically aligned trustworthy design of the AI driven technologies, like consumer robots and autonomous vehicles. There has been prior research towards finding security and privacy related vulnerabilities within various types of social robots. However, none of these previous works has studied the implications of these vulnerabilities in terms of the robot design aligning with trustworthy AI. In an attempt to address this …
Cybersecurity Maturity Model Certification (Cmmc) Compliance For Dod Contractors, Sierra Burnett
Cybersecurity Maturity Model Certification (Cmmc) Compliance For Dod Contractors, Sierra Burnett
Cybersecurity Undergraduate Research Showcase
The DoD is currently taking a supply-chain risk management strategy to foster cybersecurity. This unique strategy is often referred to as CMMC which stands for “Cybersecurity Maturity Model Certification”. The approach requires that all the 300,000 DoD contractors acquire third-party authentication that may attain the requirements for the CMMC maturity level suitable to the work they desire to do for the DoD. CMMC typically examines the organization's capability to safeguard Federal Contract Information as well as CUI. It integrates various cybersecurity standards already in place and plots the best practices alongside processes to five maturity levels that range from the …
Security And Privacy Analysis Of Wearable Health Device, Abm Kamrul Islam Riad
Security And Privacy Analysis Of Wearable Health Device, Abm Kamrul Islam Riad
Symposium of Student Scholars
Wearable technology allows for consumers to record their healthcare data for either personal or clinical use via portable devices. As advancements in this technology continue to rise, the use of these devices has become more widespread. In this paper, we examine the significant security and privacy features of three health tracker devices: Fitbit, Jawbone and Google Glass. We also analyze the devices' strength and how the devices communicate via its Bluetooth pairing process with mobile devices. We explore possible malicious attacks through Bluetooth networking. The outcomes of this analysis illustrate how these devices allow third parties to access sensitive information, …
Diversifying Nuclear Technology: A Technical Analysis On Small Modular Reactors And Its Impact On Nuclear Energy Policy, Carolina Lugo Mejia, Marcos Lugo
Diversifying Nuclear Technology: A Technical Analysis On Small Modular Reactors And Its Impact On Nuclear Energy Policy, Carolina Lugo Mejia, Marcos Lugo
Helm's School of Government Conference - 2021-2024
The energy policy debate in the United States has revolved around the diversification of energy sources while promoting advantageous economic profits. One drive for this has been the discussion of anthropogenic, environmental endangerment concerns (Vlassopoulous 2011, 104). However, despite the environmental concerns, the U.S. has for some time only relied on one type of energy source—fossil fuels. Fossil fuels are categorized as natural gas, coal, petroleum, and other gases responsible (U.S. Energy Administration 2019). Natural gas is responsible for 38.4%, coal for 23.4%, petroleum for 0.4%, and other gases for 0.3% of the U.S.’s electrical generation (U.S. Energy Administration 2019). …
Risk Management Decision Making For Security And Trust In Hardware Supply Chains, Zachary A. Collier, Thomas L. Polmateer, James H. Lambert
Risk Management Decision Making For Security And Trust In Hardware Supply Chains, Zachary A. Collier, Thomas L. Polmateer, James H. Lambert
CESUN Conference
Modern cyber-physical systems are enabled by electronic hardware and embedded systems. The security of these sub-components is a concern during the design and operational phases of cyber-physical system life cycles. Compromised electronics can result in mission-critical failures, unauthorized access, and other severe consequences. As systems become more complex and feature greater connectivity, system owners must make decisions regarding how to mitigate risks and ensure resilience and trust. This paper provides an overview of research efforts related to assessing and managing risks, resilience, and trust with an emphasis on electronic hardware and embedded systems. The research takes a decision-oriented perspective, drawing …
Understanding The Privacy Methods, Implications, And Challenges Of Educational Data Mining., Tyler Blanco, Liam Smith
Understanding The Privacy Methods, Implications, And Challenges Of Educational Data Mining., Tyler Blanco, Liam Smith
CURCE Annual Undergraduate Conference
Studies on educational data mining have massively advanced the analytical understanding of student learning, outcome predictions, student modeling, and better evaluation. While the information retrieved can improve educational outcomes, such studies must not break the wall of trust or compromise student privacy. To this end, it’s imperative to understand the methods of how privacy is ensured in the field of educational data mining and learning analytics, the limitations of these strategies, the complications that may follow, and the possible resolutions. In this project, we take a systematic approach to review studies in the educational data mining field. Initially, we examine …
Latex Modified Concrete - Very Early Strength, Bobby Steele
Latex Modified Concrete - Very Early Strength, Bobby Steele
Purdue Road School
INDOT came out with specifications for a very early strength concrete to use on bridge deck overlays. This concrete is fast setting, which allows overlays to be performed over a weekend and benefits the traveling public with a short duration of traffic interference. Cure time to reach the strength requirement is 3 hours. E&B Paving performed the first application with the new spec on August 26, 2018. Many changes were also made to the INDOT Specification Section 722.
Fico® Scores Through The Economic Cycle And Understanding Consumer Sensitivities To Economic Fluctuations, Gerald Fahner
Fico® Scores Through The Economic Cycle And Understanding Consumer Sensitivities To Economic Fluctuations, Gerald Fahner
SDSU Data Science Symposium
FICO® Scores assess default likelihood under “normal” conditions. Additional risk emanates from economic variability and manifests itself in changes to the score distribution as well as changes to the Odds-to-Score relationship. In this session we will examine credit bureau data from the Great Recession in the United States as compared to a stable economic period. We’ll share a framework that provides new and actionable insights into consumers’ sensitivities to such economic fluctuations such as:
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Application of counterfactual analysis, machine learning, and scorecards, to rank-order consumers’ sensitivities
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Consumer segmentation by economic sensitivities
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Sensitivity profiling reveals interesting differences between the most and …
Robust Allocation Of Funds For Nonstructural Flood Risk Mitigation In Coastal Louisiana, Simón Gómez Sierra, David R. Johnson, Matthew P. Shisler, Zachariah T. Richardson
Robust Allocation Of Funds For Nonstructural Flood Risk Mitigation In Coastal Louisiana, Simón Gómez Sierra, David R. Johnson, Matthew P. Shisler, Zachariah T. Richardson
The Summer Undergraduate Research Fellowship (SURF) Symposium
Coastal Louisiana is a critical economic, ecological and cultural asset, acting as a major hub for waterborne commerce, fisheries, and the petrochemical industry, and also as one of the world’s unique wetlands. Unfortunately, this rich environment is in great danger from the threat of hurricanes and storm surge flooding. Direct economic losses are estimated to average $2.7 billion per year under current conditions, and this could increase to $12 billion a year, or more, within 50 years if nothing is done. To prevent this catastrophe, Louisiana has developed a Comprehensive Master Plan for a Sustainable Coast, which plans to spend …
Extra-Terrestrial Habitat Systems: Safety, Reliability, And Resilience, Jory C. Lyons Jr., Amin Maghareh, Audai Theinat, Shirley Dyke, Antonio Bobet
Extra-Terrestrial Habitat Systems: Safety, Reliability, And Resilience, Jory C. Lyons Jr., Amin Maghareh, Audai Theinat, Shirley Dyke, Antonio Bobet
The Summer Undergraduate Research Fellowship (SURF) Symposium
Developing a resilient extra-terrestrial habitat with regards to long-term reliability and safety from hazards including radiation, meteorites, and quakes is necessary to ensure human survival during interplanetary exploration. The objective of this study is to examine conventional aerospace safety and reliability analysis techniques to investigate whether they are sufficient to achieve resilience in extra-terrestrial habitats. These results will be obtained to complete a strengths, weaknesses, opportunities, and threats (SWOT) analysis of compiled techniques to design a sustainable habitat system. Failure modes, effects, and criticality analysis (FMECA) and probabilistic risk assessment (PRA) with their past applications will be assessed to provide …