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DTSTAMP:20250415T103252
DTSTART;TZID=America/Detroit:20250529T120000
DTEND;TZID=America/Detroit:20250529T130000
SUMMARY:Livestream / Virtual:What’s the latest on Cannabis? A Q&A with U-M experts
DESCRIPTION:In the state of Michigan\, cannabis use is rising\, especially among older adults. As cannabis is legalized in more states across the country\, research is beginning to show the ways that use of this substance can have big impacts on our health and wellbeing.\nJoin us for a livestream with experts from the U-M Department of Psychiatry  and the University of Michigan Injury Prevention Center as they share insights about cannabis use in the state of Michigan and beyond. They will also discuss cannabis more generally including the potential risks of long-term use and high-potency products.\nAttendees are encouraged to submit questions during the livestream and our experts will respond as time allows.\n\nThis session will feature two experts: \nErin Bonar\, Ph.D.\, Professor of Psychiatry\nJason Goldstick\, Ph.D.\, Research Associate Professor\, Emergency Medicine\n\nSubmit your questions: We welcome your questions for this experienced panel. You may submit questions live during the web chat through Facebook (via private message or by commenting on the video itself) or by emailing Ask-MichMed@med.umich.edu prior to the event.
UID:135004-21875909@events.umich.edu
URL:https://events.umich.edu/event/135004
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Depression,Addiction Care,Mental Health Awareness Month,Mental Health,Livestream,Health & Wellness
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250521T094651
DTSTART;TZID=America/Detroit:20250529T130000
DTEND;TZID=America/Detroit:20250529T150000
SUMMARY:Workshop / Seminar:EEB Student Dissertation Defense - The secret life of leaves in tree species’ life history strategies: patterns across tropical and temperate forests
DESCRIPTION:Dissertation abstract: We share our planet with hundreds of thousands of other species\, including more than 73\,000 tree species alone. Making sense of this tremendous amount of biodiversity has remained an on-going challenge\, and ecologists are often limited in our ability to study how species identities influence community dynamics and ecosystem processes at larger scales\, particularly in diverse tree communities such as tropical forests. The use of functional traits as indicators of species’ life history strategies and other key aspects of their performance has the potential to help us find general trends in biological communities. However\, the extent to which traits link to measures of species’ fitness for diverse species assemblages needs further development. Specifically\, leaf traits play key roles in photosynthetic pathways\, yet the functionality of leaf traits as indicators of tree species’ life history strategy remain ambiguous. This dissertation closely examines the role of leaves as indicators of tree species’ growth and mortality rates. I find that leaf traits play a greater role in characterizing how tree species’ growth responds to resource availability rather than their average or maximum growth rates\, and have significant indirect effects on species’ life history strategies that are not evident when we consider only direct effects. I also found evidence for a trade-off between species’ allocations to individual leaves versus to their crown\, which together uncovers a stronger role of leaves as indicators of species’ growth strategies\, and that trait patterns in temperate forests sometimes are sometimes opposite to those found in tropical forests. Together\, these results deepen our understanding of the role of leaves in tree species’ life history strategies and support our efforts to find general patterns in forests around the world.
UID:135765-21877245@events.umich.edu
URL:https://events.umich.edu/event/135765
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate Students,Graduate School,eeb,Ecology And Evolutionary Biology,Ecology & Biology,ecology,Dissertation,Discussion,department of ecology and evolutionary biology,Bsbsigns
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250528T165135
DTSTART;TZID=America/Detroit:20250529T150000
DTEND;TZID=America/Detroit:20250529T163000
SUMMARY:Livestream / Virtual:Community Engaged Scholarship Revealed
DESCRIPTION:Ginsberg Center's Michigan Journal of Community Service Learning (MJCSL) and Campus Compact are partnering to host a virtual discussion with the authors published in the journal's past two issues (30.2 and 31.1). Participants will engage with authors directly to gain more insight into the findings of each article and the methods and processes behind the findings. Come learn from the authors and bring your questions!\n\nThe MJCSL\, published by U-M's Edward Ginsberg Center with support from Michigan Publishing\, is an open-access journal focusing on research\, theory\, pedagogy\, and other matters related to academic service-learning\, campus-community partnerships\, and engaged/public scholarship in higher education. \n\nFeatured Authors: \n-Mathew H. Gendle and Amanda Tapler\nProfessor of Psychology Senior and Lecturer in Public Health Studies\, Elon University\nCo-Authors of The Community Engagement and Partnership Inventory (CEPI): An aspirational open-source instrument to assess community-based global learning programs\nMathew and Amanda will present assessment strategies that apply the principles of critical global inquiry to provide a systematic evaluation of global learning programs.​​​​​​\n\n-Tyler Derreth\nAssistant Teaching Professor of Health\, Behavior and Society\, Johns Hopkins Bloomberg School of Public Health\nAuthor of Human-Centered Community Engagement in Online Education: Developing a Critical Online Service-Learning Pedagogy\nTyler will discuss their exploration of a critical online service-learning (COSL) pedagogy that expands opportunities for access and solidarity through humanity-centered methods of instruction. \n\n-Jennifer Lucko\nProfessor and Co-Chair of Education Department\, Dominican University of California \nAuthor of Centering Community Voice and Knowledge through Participatory Action Research\nJennifer will expand on their analysis of a Participatory Action Research (PAR) Project focused on improving public safety and explore residents’ motivations for their sustained participation.\n\n-Mary Price\nCommunity Engagement Scholar\nrepresenting authors of An Inquiry into the Program Planning Orientations of Community Engagement Administrators in Community-Academic Partnerships\nMary Price\, representing the group of authors of An Inquiry into the Program Planning Orientations of Community Engagement Administrators in Community-Academic Partnerships\, will introduce the concept of planning orientations and discuss the results of a pilot study of service-learning and community engagement administrators.
UID:135877-21877363@events.umich.edu
URL:https://events.umich.edu/event/135877
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Community Engagement,Scholarship
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250515T141212
DTSTART;TZID=America/Detroit:20250529T150000
DTEND;TZID=America/Detroit:20250529T170000
SUMMARY:Lecture / Discussion:Innovations in Likelihood-Based Inference for State Space Models
DESCRIPTION:State space models are important tools for time series analysis\, particularly when data come from partially observed dynamic systems. Despite their importance\, likelihood-based inference with these models is challenging because a closed-form expression of the likelihood function is unavailable except in the simplest cases. This dissertation introduces three projects aimed at advancing likelihood-based inference for state space models.\n\nThe first project proposes a novel algorithm for maximum likelihood estimation of the parameters of Auto Regressive Moving Average (ARMA) models\, which are formally a special case of linear Gaussian state space models. The proposed algorithm overcomes underrecognized optimization shortcomings of existing parameter estimation methods. The second project presents a likelihood-based analysis of the 2010-2019 cholera outbreak in Haiti. This work demonstrates the effectiveness of recently developed algorithms for performing inference on high-dimensional models. A key focus of this project is to assess the strengths and limitations of using state space models to inform public health policy decisions. The third project\, which is the primary focus of my presentation\, is a novel simulation-based algorithm called the Marginalized Panel Iterated Filter (MPIF). This algorithm is designed for maximum likelihood estimation of parameters from large collections of independent state space models. Theoretical support for this algorithm is provided through an analysis of iterating marginalized Bayes maps. New theoretical developments for the convergence of iterated filtering algorithms on this class of models are also derived.
UID:135647-21877033@events.umich.edu
URL:https://events.umich.edu/event/135647
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Dissertation
LOCATION:West Hall - 438
CONTACT:
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