Choices is a psychological experiment which looks for patterns in human behavior and compares them to patterns in the behavior of computers. Users are asked to complete a series of simple tasks, choosing one of nine colored squares for example. The computer then completes the same tasks and the data is compared and visualized with a series of graphs. The survey and data visualization elements of Choices are both made with p5.js and the touchgui library.

Take the Survey Here

https://nexthome.pages.dev/

nextHome will be an easy tool to help college students make their decision on where to move after school. The project is an interactive map that helps a user find out which U.S states are best for them. 

Many students struggle to find out where they want to be in the future. nextHome was designed as a tool to help make that decision easier. When someone opens the website, they will scroll down and see a empty map. Next to the map, they will see sliders and buttons they can interact with. Changing the values of the sliders or enabling a button will make the map appear differently. The map will highlight states which it thinks represents the user's input values. The sliders control things like population density, weather, and cost of living, while the buttons control absolute things like coastline, or protected abortion rights. Unlike other resources, nextHome will be personalizable to fit what the user wants from their next home.

Hunter
A lack of timeliness can have a variety of negative impacts on NuVu students. NuCard is an ID system that models student attendance, promoting student accountability as well as creating a more streamlined system for taking attendance. Every morning, each NuVu student taps their card before entering the space. If the student is late, they are prompted to give a reason for being late. If certain factors are consistently impacting attendance, systems can be put in place to address them. Some of these factors may impact more than students' arrival times. For example, if a student is late, they may not be getting enough sleep, which could result in lower productivity over the course of the day. At the end of each trimester, students receive an email showing their attendance, as well as the most common reason for being late. NuCard will provide accurate and meaningful attendance data to NuVu students and staff. This data will allow coaches to give students more informed feedback and will encourage and reward timeliness.

The system consists of a card scanner, a server to manage attendance data, and three websites to display that data. When someone uses the card scanner to check in the server updates their attendance data for the day. This data can then be viewed either on the current attendance page, the coach dashboard, or that student’s personal dashboard.

Schuyler

NuCard ID is a system that polls student attendance daily, and visualizes data from individual attendance records monthly to be reviewed by coaches and students. After a student scans into the space using their ID card, a box next to their name will light up green indicating that they are in the space. Whenever a student leaves for the day, they scan their card again which changes the box back to indicate that they have left. If a student arrives late for school, they will be prompted to give a reason for their late arrival. These reasons include an option for lack of sleep, trouble with the students' commute or a different reason. Arrival and departure times will be logged, as well as reasons that the student might give for being late. 

Coaches will also be able to view the attendance records, which can be sorted by individual attendance or school wide attendance. Each group will have its own arrival/departure time(s) as well as reason(s), depending on which group is being viewed. Both coaches and students can make more informed decisions regarding attendance using the data that NuCard ID gives them access to.

Designing for Greenery builds on Connecting Homes to conceptualize a mixed-use building with a heavy integration of green-space and urban farming for newly urbanized areas. It aims to continue to solve the ongoing housing crisis in the Boston area currently driving people to find more affordable homes in more suburban areas. Designing for Greenery designs a mixed-use structure for an urbanized and transit connected Bedford and other regions like it.

Connecting Homes identified an example of a potential urban area and identified a methodology to urbanize it in terms of access. Designing for Greenery creates a mixed-use building to integrate commercial retail and office space, housing, and urban farming in one structure, maximizing the ground available. Designing for Greenery ultimately seeks to create a replicable solution for the Boston area, especially as zoning requirements are changing in support across Massachusetts. It explored various additive, joined, and subtractive methods of designing parts of the building through physical and digital methods, ultimately utilizing subtractive areas to create green space with varying conditions. Designing for Greenery includes a design and prototype of a full-scale urban farm supporting Tiny Farm, Big Impact, funded by Beaver’s Alex Cohn Grant.