Software/Data Analytics

Data Illuminators: Scalable Data Collection for Nighttime Crosswalk Lighting

Our SCOPE team aimed to provide a streamlined, efficient data collection method and analysis process to inform decisions of street lighting and pedestrian-vehicle safety teams for 2-3 municipalities in Massachusetts and beyond.

Empower: A Consent Framework for Health Data

The 2024-2025 collaboration between Microsoft Research NERD's Project Resolve team and Olin College’s SCOPE team focused on creating a public-facing consent framework for the community served by flok Health. The project emphasizes secure, ethical data handling practices and seeks to build trust within health communities by prioritizing informed consent.

CV Detection of Powerline Encroachment

LineVision challenged the Olin SCOPE team to investigate the performance capabilities of our next-generation edge infrastructure through the development of a proof-of-concept system for real-time monitoring of the transmission-line right-of-way.

Brandeis Rosbash Lab FlyBox Redesign

The 2022-23 Brandeis SCOPE team overhauled the original Roshbash Lab FlyBox's hardware, assembly, and software, creating a robust and polished tool to track the behavior of genetically modified fruit flies over multiday periods.

Dassault Systemes Customer Adoption Experience

The 2022-23 Dassault SCOPE team researched user journeys and created prototypes to reduce the complexity and provide a more seamless onboarding and discoverability experience for current and future customers of 3DEXPERIENCE Works. 

Coin-Test: Open-Source Risk Evaluation for Cryptocurrency Investments

The 2022-23 FCAT SCOPE team developed Coin-Test, a publicly available, open-source Python library that provides a novel approach to evaluating cryptocurrency trading strategies.

Improving CT Scanner Alignment During Installation 

The 2022-23 GE Healthcare SCOPE team worked to improve CT image quality by creating a tool or process that will allow CT scanner installation technicians to achieve increased alignment precision. 

Pfizer Clinical Trial Assistant

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. 

National High-Injury Network Analysis Tool (NHAT)

Partnering with the Santos Family Foundation and the Volpe National Transportation Systems Center, the team created a free national tool that allows communities to generate interactive HIN maps and understand the relationship between safety, equity, and other contextual factors. 

The Automated Lift Object System

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. 

Santos Family Foundation / Volpe Center

Ruina: Advancing Crash Data Reporting for Improved Road Safety

Pfizer

Utilizing Blockchain For Clinical Supply Chains

Probably Overthinking It: A blog about data science and bayesian statistics

Air Partners + Aerodyne Research

As a part of the NIH-funded HAFTRAP project, the AirPartners/Aerodyne SCOPE team created an integrated air quality measurement system that included both low and high-cost atmospheric chemistry instruments.

Apps for Accessibility to Empower the Blind and Visually Impaired

For people who are blind or visually impaired, tasks such as navigating through unfamiliar environments can be difficult. Navigation is part of a set of skills collectively called Orientation and Mobility (O&M), and researchers have shown that one’s proficiency with this set of skills is pivotal to allowing people to access social and economic opportunities in their community.

Ruvolo Awarded NSF Grant for Assistive Technology Research and Education

Paul Ruvolo, Associate Professor of Computer Science at Olin College of Engineering, has been awarded a three-year, $343,842 NSF grant to develop an orientation and mobility (O&M) app that provides indoor navigation and exploration technology for blind and visually impaired users.