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BEGIN:VEVENT
DTSTAMP:20250415T170246
DTSTART;TZID=America/Detroit:20250430T120000
DTEND;TZID=America/Detroit:20250430T140000
SUMMARY:Workshop / Seminar:IGR Open House
DESCRIPTION:IGR students and graduates—Bring yourself and your family and friends as we enjoy a special open house right in IGR's living room!
UID:134433-21874353@events.umich.edu
URL:https://events.umich.edu/event/134433
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:Galleria - IGR Office, 2nd floor
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250422T091038
DTSTART;TZID=America/Detroit:20250430T123000
DTEND;TZID=America/Detroit:20250430T143000
SUMMARY:Presentation:Development and Application of Low-cost Technologies for Stroke Rehabilitation
DESCRIPTION:Chair: Dr. Chandramouli Krishnan\n\nZoom registration: https://umich.zoom.us/meeting/register/-O2KxTBkRny7lrYL585zIA\nPASSCODE: 099355\n\nAbstract\nStroke is one of the leading causes of adult-onset disability in the United States. Restitution of motor control and improved independence in daily life following a stroke is mediated by high dosages of intensive\, task-specific therapy. However\, adequate therapy is often limited by the high costs of outpatient therapy sessions and reduced third party coverage. As a result\, many stroke survivors must reduce their therapy dosage and do not achieve their full recovery potential. Rehabilitation devices\, such as robots\, present a unique opportunity to increase dosage by automating the repetitive features of rehabilitation\, tracking patient progression\, integrating gaming interfaces to increase patient engagement\, and expanding in-home therapy. Unfortunately\, many of these devices are highly complex\, motorized systems that are too expensive and bulky for clinical or in-home use. Therefore\, it is pertinent that researchers investigate ways to decrease the cost of rehabilitation devices while maintaining their utility in rehabilitation. Hence\, in this dissertation\, we designed\, developed\, and examined low-cost devices for stroke rehabilitation. We developed and examined three low-cost devices for stroke rehabilitation. The first device was SepaRRo\, a semi-passive planar upper extremity robot for stroke rehabilitation. SepaRRo uses controllable brakes to provide training forces to the user’s end-effector (i.e.\, hand) during targeted reaching that can either resist and steer their motion. Steering forces from SepaRRo have two potential applications in rehabilitation: guide a user onto a path to assist in learning a motor skill or steer a user away from a path so that they alter their muscle coordination. In this dissertation\, we examined the ability of SepaRRo’s steering forces to help users learn a motor skill and examined how steering forces could alter muscle coordination during functional resistance training in stroke survivors. The second device we developed and examined in this dissertation was the Hand eMBot\, a self-powered passive robot for hand rehabilitation. Here\, self-power refers to a class of stroke rehabilitation robots that use power from the less-impaired limb to assist the more-impaired limb. The Hand eMBot uses this principle to assist the more-impaired hand with finger flexion and extension. The Hand eMBot includes three coupling transmissions that couple the motion of the (i) thumbs\, (ii) index fingers\, (iii) all remaining fingers\, thereby allowing the self-power to assist in gross and dexterous digit motion. We demonstrated the ability of the Hand eMBot to reflect motion to the opposite limb\, alter corticospinal excitability\, and improve functional usage of the more-impaired hand in stroke survivors. The third and final device we examined was the NewGait®\, a commercially available passive elastic exosuit for post-stroke gait rehabilitation. The NewGait® system features a variety of attachable elastic bands that span the lower extremity joints whose stretching and relaxing during the gait cycle apply assistive torques to the wearer. In this chapter\, we examined the NewGait’s ability to supplement a post-stroke gait intervention and how it compared to a similar commercially available device. Collectively\, this dissertation will set a foundation of work for a new generation of low-cost devices for stroke rehabilitation that could increase the accessibility of cutting-edge technologies to patient populations and improve recovery outcomes.
UID:135157-21876431@events.umich.edu
URL:https://events.umich.edu/event/135157
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Robotics,Michigan Robotics
LOCATION:Off Campus Location - BRL-2105A
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250129T113924
DTSTART;TZID=America/Detroit:20250430T130000
DTEND;TZID=America/Detroit:20250430T160000
SUMMARY:Careers / Jobs:Pre-Law Drop-Ins
DESCRIPTION:Pre-law advisors are available during drop-in hours to answer quick questions from all U-M Ann Arbor students and alumni.\n\nJoin the Queue: https://officehours.it.umich.edu/queue/1145
UID:131918-21869421@events.umich.edu
URL:https://events.umich.edu/event/131918
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate School,Career,Applications,Alumni,All Majors Welcome,Advising,Admissions,Undergraduate Students,Transfer Students,Pre-Law,Law
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250102T120705
DTSTART;TZID=America/Detroit:20250430T133000
DTEND;TZID=America/Detroit:20250430T150000
SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday
DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324)
UID:117252-21865881@events.umich.edu
URL:https://events.umich.edu/event/117252
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Analysis,Information and Technology,Data,Data Collection,Data Curation,Data Linkage,Machine Learning,Data Science,Data Management
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250401T145334
DTSTART;TZID=America/Detroit:20250430T140000
DTEND;TZID=America/Detroit:20250430T155000
SUMMARY:Workshop / Seminar:Who Chooses and Who Benefits? The Limits of Decentralized Choice
DESCRIPTION:The majority of U.S. public school districts now offer school choice programs that allocate seats using a centralized algorithm but with voluntary participation. The optional nature of public school choice segments public education and raises critical questions: who chooses\, who benefits\, and what policy alternatives can produce better outcomes for children? This paper provides new evidence on these questions by studying the Los Angeles Unified School District\, the largest opt-in system in the country. Analyzing two decades of lottery records\, we find that students living closer to choice options are both more likely to participate and to experience larger achievement gains. The proximity-based treatment effect heterogeneity is not explained by other observable treatment effect heterogeneity\, suggesting a potential role for unobserved demand-side factors. To assess the empirical relevance of this hypothesis\, we rely on quasi-experimental variation in distance to schools due to large expansions in choice programming and lottery-based admission lotteries to estimate a generalized Roy model that links families' decisions to apply and enroll to achievement gains. Our estimates indicate that the families least likely to apply under the current system would realize the largest test score benefits if they participated. In other words\, decentralized\, opt-in systems not only segment public education markets based on student ability and socioeconomic status but also exacerbate existing inequalities in educational outcomes. Policy interventions---such as targeted information interventions that cultivate broader participation or mandate participation as is done in cities such as New York---could produce sizable achievement benefits for school districts.
UID:134563-21874528@events.umich.edu
URL:https://events.umich.edu/event/134563
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Labor,Economics,seminar
LOCATION:Lorch Hall - 201
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250421T112325
DTSTART;TZID=America/Detroit:20250430T153000
DTEND;TZID=America/Detroit:20250430T163000
SUMMARY:Exhibition:2025 Research and Analytics Showcase
DESCRIPTION:Hosted by the Center for Academic Innovation\, the Research and Analytics Showcase will celebrate research advancing the future of higher education. Join us for a series of lightning talks featuring researchers in our community\, followed by poster presentations from students\, faculty\, and staff. Poster presentations are open to all University of Michigan community members interested in showcasing their work. Prizes for the top posters will be awarded during the event. \n\nFood and refreshments will be provided.\n\n*Poster Presentations*\nThe poster fair is intended to showcase educational research being conducted broadly across our community. Students\, staff\, and faculty are all invited to present. CAI will print your poster and have it ready for you at the event.\n\n*What Do You Need to Do?*\n• Register to attend\n• Indicate on the registration form that you want to present a poster\n• Review our guide for poster presenters\n• Submit your poster\n\n*About Our Speakers*\n\n*Vaibhav Balloli*\nVaibhav Balloli is a Ph.D. candidate at the Realize Lab\, advised by Professor Elizabeth Bondi-Kelly at the University of Michigan. His research focuses on designing and deploying human-centered AI systems to address critical societal challenges. His research topics span human-AI collaboration\, multi-agent systems\, and large language models (LLMs). Currently\, he is working on leveraging LLMs and LLM-powered agents to improve access to reproductive health information.\n\n*Sharon Jessica*\nSharon Jessica is a Research Associate in Computer Science and Engineering at the University of Michigan. She earned her master’s in Educational Studies at the University of Michigan. Her research interests are STEM education and quantitative methods for education. She is currently researching computer science and artificial intelligence education with Professor Elizabeth Bondi-Kelly.\n\n*Shanley Corvite*\nShanley Corvite is a doctoral candidate at the University of Michigan School of Information\, where she explores the role of social technologies in career development processes. Using qualitative methods\, such as interviews and content analyses\, her current research focuses on the content and communication of career messages on social media and their potential impact on emerging adults' career interests and aspirations. \n\n*Don Peurach*\nDon Peurach is a Professor of Educational Policy\, Leadership\, and Innovation at the University of Michigan Marsal Family School of Education. He is also the faculty lead of the EdHub for Community and Professional Learning in the Marsal School. His research focuses on the organization\, management\, and improvement of instruction in education systems\, with a particular focus on network-based continuous improvement. He is the lead developer of “Transforming Education in an Interconnected World\,” a professional learning series available on Coursera.\n\n\n*Innovation Showcases*\nInnovation Showcases are one-day events featuring faculty\, staff\, and students who discuss how they are transforming teaching and learning to support student success. Innovation Showcases are an opportunity to connect with the latest research\, technology\, and design practices in digital education.
UID:133185-21872561@events.umich.edu
URL:https://events.umich.edu/event/133185
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology,Innovation,Open House,Research,Academic Innovation,Exhibition,Academic Technology At Michigan,Education,Faculty,Free,Higher Education
LOCATION:Center for Academic Innovation
CONTACT:
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