{ "148256-21903601": { "datetime_modified":"20260513T130858", "datetime_start":"20260602T100000", "datetime_end":"20260602T130000", "has_end_time":1, "date_start":"2026-06-02", "date_end":"2026-06-02", "time_start":"10:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"June 1-10, 2026 MWF Course - Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences", "occurrence_title":"", "combined_title":"June 1-10, 2026 MWF Course - Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences: Heidi Guyer - RTI International", "event_subtitle":"Heidi Guyer - RTI International", "event_type":"Class \/ Instruction", "event_type_id":"8", "description":"June 1-10, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nData Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection, cross-sectional and longitudinal health surveys, and adapting clinical measures and new technology in health research. 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Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content, sample design, weighting, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega, PhD, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM), where she is responsible for integrating communication, outreach, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health, Behavior, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. 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