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AgeLab - Participant Recruitment and Data Analysis


Term:

Fall

Department:

SCM: Supply Chain Management

Faculty Supervisor:

Joseph Coughlin

Faculty email:

coughlin@mit.edu

Apply by:

ASAP

Contact:

Lexi Balmuth: abalmuth@mit.edu

Project Description

The MIT AgeLab is seeking a UROP to work remotely during the fall of 2020. The UROP will assist with participant recruitment and survey data analysis for an ongoing longitudinal research panel with family caregivers, called CareHive. Open to full-time undergraduate students who are eligible to participate in the UROP program. Project tasks include: Assist with national and international outreach • Research and compile information on a variety of aging and caregiving related organizations • Develop advertisement materials to be used for caregiver recruitment • Organize and create content for AgeLab’s social media platforms • Assist with quantitative and qualitative data analysis • Support other AgeLab research and staff as needed. About the MIT AgeLab: The aim of the AgeLab is to invent new ideas and creatively translate technologies into practical solutions that improve people’s health and enable them to remain active throughout the lifespan. AgeLab’s research centers around how products are designed, services are delivered, and individuals will live, work, and play in the future. The AgeLab is made up of a multidisciplinary team of researchers focused on issues related to: caregiving & wellbeing; retirement & longevity planning; home services & logistics; and transportation & livable communities.

Pre-requisites

Preferred Qualifications: • Passion for improving the lives of older adults and caregivers• Ability to problem-solve and think creatively • Ability to work remotely, both independently and in a team setting • Willingness to use phone calls and video calls as primary mode of professional communication • Self-starter, communicative • Positive attitude and ability to work with others • Knowledge of or interest in learning data analysis software packages such as SPSS, R, Tableau, NVIVO • Proficiency in Excel or other database software • Effective communication, visual, and organizational skills