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Curating The Creative City
Santa Fe is the third largest art market in the United States (Naho U. Maruyama et al., 2008) with over 250 museums and galleries scattered across the city. The majority of resident artists use their art as a medium to convey and build upon the city’s rich cultural heritage. This practice is broadly considered as heritage art. The number of heritage art sites can be overwhelming to many visitors, a problem accentuated by Santa Fe’s lack of a comprehensive database that focuses on heritage art. For this reason, our team has partnered with the Santa Fe Department of Arts and Culture to create a website that curates the learning of cultural heritage through a comprehensive list of heritage art sites and engaging walking tours
Simulations of High-Density Crowds
This paper presents the simulation research on the intersectionality between crowd density and crowd movement, with a focus on simulating human behavior during emergencies. To address the complexities of individual decision-making and interactions within a crowd, an agent-based modeling (ABM) approach is employed. ABM provides a dynamic tool for replicating emergency scenarios, which proves necessary when simulating human behavior since human behavior is complicated and is influenced by individual abilities, stressors, group dynamics, and the environment. The key consideration in the simulation is crowd density, as research has shown that higher densities significantly increase the likelihood of hazardous conditions. By modeling the complex dynamics of crowd behavior, this study will provide insights into evacuation strategies for venues like the Harrington Auditorium at Worcester Polytechnic Institute (WPI)
Paying It Back: The Impact of Data Visualization on Loan Repayment Behavior
As student loan debt continues to rise, borrowers’ understanding of long-term impact of interest rates and repayment plans becomes increasingly important. This project applies behavioral economic theories to data visualizations to bridge a gap between the fields. By leveraging insights into human decision making and cognitive biases, we aim to enhance understanding of student loan repayment and support more informed financial choices through data visualization. We designed a study comparing the student loan repayment decisions made by those who received a visual aid and those who did not. The results of this experiment contributed to finding more effective ways in which data visualization can be used to help individuals understand the distant and abstract process of student loan repayment. All supplemental materials can be found at (https://osf.io/b3tkf/?view only=c8b823f6dac64522b4acaf3f665724e0.
Finding My Way Through The Wood: Stage Managing A Midsummer Night’s Dream
This report outlines my experience stage managing WPI Theatre’s Fall 2024 production of William Shakespeare’s A Midsummer Night’s Dream. Through research into various industry practices and expectations, I grew my stage management skill set in ways that helped prepare me for my work on the show. This paper details the results of my completed research, as well as my implementation of those lessons and their effects on the production process
CS/DS MQP: AI for Impact: App Development and Deep Learning for Inferring Risk for Mental Distress and Suicide via Smartphones
This project is part of a multi-year multi-institution NIH funded project between WPI and UMASS Amherst that aims to develop a smartphone application for the early detection of mental health distress, depression, and suicide risk among college students. This first iteration was developed to gather multi-modal data (survey, health, screentime, and Bluetooth) from college students. This app sets the foundation for future groups to collect data and develop models for suicidal ideation on the multi-modal data to screen for suicidal risk levels. The final aim is for this LEMURS health app to make near real-time risk assessments to identify students at risk and notify health professionals for support
Spatial-Temporal Multi-tasking Model
In today's world, large-scale models are widely used for various tasks, yet there remains a gap in models specifically designed for spatial-temporal data. Such data is crucial for applications like urban traffic management and optimizing delivery routes. Given the success of generative models in language processing, advancing spatial-temporal models is a natural progression in AI development. This paper presents our approach to building a spatial-temporal model, the challenges encountered, and experimental results demonstrating its feasibility and importance
Development of an Ionic Wind Propelled Aircraft - Design
This project analyzed the capabilities of ionic wind propulsion (IWP) in various aircraft and mission scenarios to identify an optimal pairing which has the capacity to be improved by IWP. Through analysis of literature, the team concluded that an airship and forestry surveillance mission had the greatest potential for improvement with IWP. The airship configuration was designed, applying IWP as a secondary propulsion source. A fixed-wing prototype was designed and manufactured for a test flight, to act as a demonstrator of IWP technology for aircraft. Due to limitations, necessary electrical components could not be created leaving the IWP non-functional. The team concluded that at its current maturity, IWP was impractical due to low thrust output and restrictive operational requirements
Hôpital Source de Vie: Reimagined Healthcare Infrastructure for Southern Haiti
“Hôpital Source de Vie” strives to elevate healthcare infrastructure in Les Cayes, a major city in the South of Haiti. This region of the Caribbean nation is subject to intense natural disasters, which have the capacity to cripple the country’s existing infrastructure, much of which was built below global structural standards. Furthermore, violence in the capital city of Port-au-Prince and a recent 7.2 magnitude earthquake in 2021 is pushing more people to relocate to this area, straining resources and increasing demands on the current healthcare systems. To learn more about these challenges, conferences were held with healthcare infrastructure professionals from Build Health International and nursing students from Haiti. The result was a conceptual hospital design that factors in the challenges of building in the region, through innovative earthquake and water management systems, as well as the needs of the people it serves. The design integrates essential medical functions, including operating theaters, inpatient wards, and maternity facilities, with a design language that takes inspiration from local customs, rooted in proven design strategies to improve patient wellbeing. All of this is achieved while maintaining net-zero emissions, meeting and exceeding standards to reduce energy consumption and implement sustainable energy sources set forth by the American Institute of Architects. The hospital is designed with the flexibility to be reconfigured internally and with room to expand in the future, ensuring it remains an important asset for Les Cayes and the broader country for years to come
Design, Analysis, Assembly, and Test of a High-Powered Model Rocket 2425 – 2
This report details the Guidance, Navigation and Control System for a Low-Cost Anti-Missile Missile. It covers the development and testing of a missile avionics system, encompassing the flight computer, sensing systems, batteries, and all electronics required for controlling of the actuation system. A six degree-of-freedom model is developed and used for simulation of boost, glide, and terminal phases of flight. The report also explores and compares various guidance and control techniques for missile applications. A true proportional navigation scheme is implemented for missile guidance, while a PID controller is used for attitude control. Additionally, an Extended Kalman Filter is developed for real-time navigation, ensuring accurate state estimation throughout the missile flight. Through these various techniques, this project aims to fulfill all requirements set forth by the American Institute of Aeronautics and Astronautics: Low Cost Anti-Missile Missile Competition for flight dynamics and control
Humanity_and _space_2425
Humanity today faces a multitude of existential crises in the forms of natural resource shortages, pollution, energy shortages, nuclear war, and planetary decline. Over the course of these 3 months, our IQP group researched how manned and unmanned lunar colonization could benefit the longevity of mankind. Through research into lunar geography, nuclear chemistry, inertial confinement reactors, robotics, and laser-powered energy transmission, our group devised a hypothetical plan to harvest lunar resources for nuclear fusion expenditure in hopes of powering the globe from a distance