SCOPE Projects

New Balance is dedicated to increasing manufacturing within the United States and building new technology into their automated manufacturing processes. The Manufacturing Innovation SCOPE team designed and prototyped solutions that automate several critical, labor-intensive steps in materials processing for shoe manufacturing. Automating these steps in the manufacturing process increase operator safety and reduce production time.

This SCOPE team will design and build an automated pick-and-place apparatus for battery cell assembly. This project sits at the intersection of mechanical design, electrical engineering, and software development—requiring the team to integrate robotic actuation, barcode/data matrix scanning, precision placement, and database management into a cohesive, automated workflow. 

The SCOPE team will design a modern replacement of the Aerosol Mass Spectrometer from the ground up: new control hardware, new firmware, and a unified communication architecture, built to drop into existing instruments without changing the scientific software researchers already rely on.

The Moderna SCOPE team developed an open-source lab orchestration solution, improving the speed and quality of automated biotech labs. ​

This SCOPE team will partner with ANCORE to explore a challenging and highly applied mechanical engineering problem at the intersection of dynamics, motion control, and product innovation. 

Utilizing Blockchain For Clinical Supply Chains

The 2022-23 Pfizer SCOPE team built a prototype that augments the information search capabilities of Pfizer clinical research colleagues when responding to IP handling queries from clinical trial sites, thereby minimizing wait times for patients. 

This project will explore how a structured operating model can support the lifecycle of data products—from concepts and planning through implementation and continuous improvement.

As part of New Balance’s continual work to improve associates' work experience while maintaining high-quality standards, the SCOPE students built upon the 2025 SCOPE team's work to develop a highly-automated solution, creating tooling that reduces the manual tests and improves the consistency of the quality check.

The SCOPE team worked with the Massachusetts Department of Early Education and Care through a user-oriented collaborative design process to improve on the current family user experience finding child care with a redesign of the Child Care Search tool, making it faster and easier for families to find the resources they need.

To help Amazon Robotics' research and development efforts, this year's SCOPE team created a robotic system that utilizes tactile and vision sensors to grasp a ball and throw it to reach a specified target.

Ruina: Advancing Crash Data Reporting for Improved Road Safety

A major obstacle to the widespread adoption of electric vehicles is the inability to refuel as efficiently as their internal combustion counterparts. SparkCharge, a leader in mobile EV charging solutions, currently serves markets across the United States, with services ranging from out-of-charge assistance to large-scale fleet charging. To ensure SparkCharge products are capable of providing consistent and reliable coverage at all times, the SparkCharge SCOPE team aimed to introduce retrofittable solutions to the Roadie V3 system that eliminate vulnerabilities during severe weather conditions.

This project involved the development of processes and design changes which can enhance the sustainability of Boston Scientific Single Use Biopsy Forceps, assisting them in meeting their goal of being carbon neutral by 2050.

Our SCOPE team developed OVBI (Olin Value Based Investing), an experimental accessible and user-friendly values-based investing tool that could serve as a comprehensive method for evaluating and grading different companies based on their genuine practices.

This year's SCOPE team built off a perception system for remote control of a robot developed by last year’s team resulting in increased manipulation efficiency and reduced onboarding duration and complexity for operators.