Sample Project
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Sample Project

Five undergraduate students formed a cross-functional project team, and were supervised by two faculty members. The project, conducted for XL Catlin, had two phases. In the first phase, students analyzed workers’ compensation claims data across industry sectors. Through this big data exercise, they identified that the most common and costly injuries relate to joints such as knees, elbows, and shoulders. Students then determined the average and total costs of injuries in each area. In the second phase, the students researched wearable sensors that have the potential to be worn by workers to monitor and track physical locations, movements, and so forth.  Such tracking can be used to better understand the causes of worker injuries and subsequently to mitigate future risks through training programs, facilities changes, and other actions. Lab testing was performed using different sensor products, and network systems were designed for workplace implementation. A business case was then developed to assess the ROI of deploying sensor technology to mitigate risk in different work settings.

Two students were Barney School insurance and finance majors, one was an electrical engineering student in CETA, and two were biomedical engineering student in CETA. They were supervised by Barney School and CETA professors. Throughout the project, students interacted with XL Catlin managers. At the conclusion of each project phase, the students presented their findings to XL Catlin managers at their Hartford office, and to others participating via video conference.