{ "147925-21902437": { "datetime_modified":"20260508T155502", "datetime_start":"20260603T090000", "datetime_end":"20260603T200000", "has_end_time":1, "date_start":"2026-06-03", "date_end":"2026-06-03", "time_start":"09:00:00", "time_end":"20:00:00", "time_zone":"America\/Detroit", "event_title":"The People\u2019s Bicentennial", "occurrence_title":"", "combined_title":"The People\u2019s Bicentennial", "event_subtitle":"", "event_type":"Exhibition", "event_type_id":"7", "description":"This selection of original artifacts documents the work of the Peoples Bicentennial Commission (PBC), which challenged the official, corporate-sponsored commemoration of the 1976 bicentennial. This year we celebrate the 250th anniversary of the signing of the Declaration of Independence.\n\nItems on display are from the Joseph A. Labadie Collection, which documents social protest movements and radical history.\n\nHOURS\nSunday 2-8pm\nMonday-Thursday 9am-8pm\nFriday 9am-4pm\nSaturday 11am-5pm", "occurrence_notes":null, "guid":"147925-21902437@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/147925", "building_id":"1000181", "building_name":"Hatcher Graduate Library", "campus_maps_id":"65", "room":"Hatcher Gallery Exhibit Room (1st floor)", "location_name":"Hatcher Graduate Library", "has_livestream":0, "cost":"", "tags":["Free","History","Library"], "website":"https:\/\/www.lib.umich.edu\/events", "sponsors":[ { "group_name":"University Library", "group_id":"1186", "website":"https:\/\/www.facebook.com\/UMichLibrary\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/04\/event_147925_original-2.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/04\/event_147925_original-2.jpg" }, "occurrence_count":132, "first_occurrence":21902411 } , "148420-21904230": { "datetime_modified":"20260526T134332", "datetime_start":"20260603T100000", "datetime_end":"20260603T120000", "has_end_time":1, "date_start":"2026-06-03", "date_end":"2026-06-03", "time_start":"10:00:00", "time_end":"12:00:00", "time_zone":"America\/Detroit", "event_title":"Dissertation Defense: The Pursuit of Value: Essays on the Cognitive Science of Motivation", "occurrence_title":"", "combined_title":"Dissertation Defense: The Pursuit of Value: Essays on the Cognitive Science of Motivation: Paul de Font-Reaulx", "event_subtitle":"Paul de Font-Reaulx", "event_type":"Other", "event_type_id":"22", "description":"ABSTRACT:\n\nHumans have motivations to do things. The same is true for animals, and perhaps for artificial agents as well. How does this work? This dissertation is an attempt to answer that question, and explore the normative and descriptive consequences of the answer. To do so, I draw on formal and computational models from philosophy, economics, and artificial intelligence research, and empirical evidence from cognitive neuroscience and psychology.\n\n\nAt the heart of the dissertation is a new view of motivation that I call externalism about expected value maximization, or externalism for short. Externalism agrees with all standard accounts of rationality that a rational agent performs actions that maximize the achievement of some metric of value. However, it relaxes an additional assumption that is typically made implicitly, namely that what has value is a function of the agent themselves, for example their preferences or desires. According to externalism, rational agents do not determine the value of an option any more than they determine its weight. Instead, they represent value as they would other quantities: as existing independent of themselves and able to be estimated in light of evidence. Unlike estimations of other quantities, however, the estimations of value govern their behavior: motivation is the direct pursuit of expected value.\n\nI present the idea of externalism in a new introductory essay written for the dissertation, titled \u2018Rationality Externalized\u2019. The next three papers elaborate on the externalist picture, although implicitly so. (1) In Chapter 2, titled \u2018What Stands to Desire as Perception Stands to Belief?\u2019, I consider how our motivational attitudes can be updated from experience, and whether any mental capacity allows for this in the way that perception does for belief. I propose a novel functional capacity that I call conaception, and argue that it provides signals that update representations of value and thereby change our desires. I also suggest that evolution has plausibly tuned our minds to interpret these signals so as to steer us towards what is good for us in a normatively substantive sense.\n\nIn Chapter 3, \u2018Reward is Evidence of Value\u2019, I develop this idea in more formal and empirical detail, suggesting that reward signals should be seen as one crucial source of evidence of value. This resolves an ongoing debate about how to interpret computational models in Reinforcement Learning as applying to humans and other animals. In Appendix A, I demonstrate the formal details of this account, and show how standard RL algorithms converge on Bayesian solutions even assuming an evidential interpretation of reward. In Chapter 4, \u2018A Conflation of Valences\u2019, I consider the relation between reward learning and hedonic valence. A common view is to identify hedonic experience as the biological instantiation of reward signals. I argue that this is empirically implausible, and articulate the implications of this separation for the distribution of sentience and other philosophical questions.\n\nChapter 5 and 6 deal with two quite different but related issues. In Chapter 5, \u2018Do Expected Utility Maximizers Have Commitment Issues?\u2019, I consider a long-standing criticism of standard expected utility theory, namely that it implausibly recommends us to tie ourselves to the proverbial mast whenever we expect our future preferences to change in a way that is contrary to our current goals, even at great cost. Drawing on Bayesian reputation games, I propose a novel solution by arguing that expected value maximizers typically have an incentive to follow-through on prior commitments after all, because by doing so we foster a reputation with ourselves that permits rationally pursuing better outcomes in the future. In Appendix B, I prove the main result of this chapter.\n\nFinally, in Chapter 6, \u2018The AI Epistemic Deference Index: A Continuous Measure of Sycophancy\u2019 (co-authored with Alejandro Botas and Luke Hewitt), I approach a contemporary practical problem related to human motivation: it is well-known that current artificial agents trained on human feedback provide excessively sycophantic interactions. This provides inaccurate evidence for users, shaping both our beliefs and values in detrimental ways. We present new techniques for providing a scalar metric to assess the sycophantic behavior of current models, and demonstrate substantial differences between them.\n\n\n(1) These papers were written prior to the introduction and do not reference externalism as such, but can naturally be interpreted as contributing to that overarching program.\n\nThose interested in reading the full dissertation beforehand can contact the candidate to request a draft.\n\nCOMMITTEE:\nSripada, Chandra (chair)\nRailton, Peter\nJoyce, Jim\nLewis, Rick (cognate, Cognitive Science)\nChalmers, Dave (special member, NYU)", "occurrence_notes":null, "guid":"148420-21904230@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/148420", "building_id":"1", "building_name":"Angell Hall", "campus_maps_id":"12", "room":"2271", "location_name":"Angell Hall", "has_livestream":0, "cost":"", "tags":["Dissertation"], "website":"", "sponsors":[ { "group_name":"Department of Philosophy", "group_id":"3186", "website":"http:\/\/www.lsa.umich.edu\/philosophy" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21904230 } , "148256-21903602": { "datetime_modified":"20260513T130858", "datetime_start":"20260603T100000", "datetime_end":"20260603T130000", "has_end_time":1, "date_start":"2026-06-03", "date_end":"2026-06-03", "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. Her substantive areas of research have focused on the association between health behaviors, such as sleep and diet quality, and the development of chronic health conditions.", "occurrence_notes":"Registration and payment are required a minimum of two weeks prior to the start of the course.", "guid":"148256-21903602@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/148256", "building_id":"null", "building_name":"Off Campus Location", "campus_maps_id":"1", "room":"", "location_name":"Virtual", "has_livestream":0, "cost":"$1,200", "tags":["Data","Data Analysis","Data Collection","Data Curation","Data Linkage","Data Management","Data Science","Professional Development","Research","Statistics","Survey Methodology","Survey Methods","Survey Research"], "website":"https:\/\/shorturl.at\/EDCzx", "sponsors":[ { "group_name":"Summer Institute in Survey Research Techniques", "group_id":"4327", "website":"" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" }, { "group_name":"Survey Research Center", "group_id":"5063", "website":"https:\/\/src.isr.umich.edu\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/05\/event_148256_original-1.png", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/05\/event_148256_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/05\/event_148256_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/05\/event_148256_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/05\/event_148256_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/05\/event_148256_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/05\/event_148256_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/05\/event_148256_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/05\/event_148256_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/05\/event_148256_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/05\/event_148256_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/05\/event_148256_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/05\/event_148256_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/05\/event_148256_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/05\/event_148256_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/05\/event_148256_original-1.png" }, "occurrence_count":29, "first_occurrence":21903455 } , "148257-21903615": { "datetime_modified":"20260513T131309", "datetime_start":"20260603T100000", "datetime_end":"20260603T150000", "has_end_time":1, "date_start":"2026-06-03", "date_end":"2026-06-03", "time_start":"10:00:00", "time_end":"15:00:00", "time_zone":"America\/Detroit", "event_title":"June 1-5, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop", "occurrence_title":"", "combined_title":"June 1-5, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop: Amanda Sonnega - Institute for Social Research, University of Michigan", "event_subtitle":"Amanda Sonnega - Institute for Social Research, University of Michigan", "event_type":"Class \/ Instruction", "event_type_id":"8", "description":"June 1-5, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. 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. Her research focuses on life course trajectories of physical and mental health; institutional and personal factors associated with vulnerability and resilience in aging individuals; and work transitions and their broad effects on health and well-being.", "occurrence_notes":"Registration and payment are required a minimum of two weeks prior to the start of the course.", "guid":"148257-21903615@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/148257", "building_id":"null", "building_name":"Off Campus Location", "campus_maps_id":"1", "room":"", "location_name":"Virtual", "has_livestream":0, "cost":"$550", "tags":["Data","Data Analysis","Data Collection","Data Curation","Data Linkage","Data Management","Data Science","Health","Health And Retirement Study","Professional Development","Research","Science","Survey Methodology","Survey Methods","Survey Research"], "website":"https:\/\/tinyurl.com\/mwt33fpz", "sponsors":[ { "group_name":"Summer Institute in Survey Research Techniques", "group_id":"4327", "website":"" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" }, { "group_name":"Survey Research Center", "group_id":"5063", "website":"https:\/\/src.isr.umich.edu\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/05\/event_148257_original-1.png", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/05\/event_148257_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/05\/event_148257_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/05\/event_148257_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/05\/event_148257_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/05\/event_148257_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/05\/event_148257_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/05\/event_148257_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/05\/event_148257_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/05\/event_148257_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/05\/event_148257_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/05\/event_148257_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/05\/event_148257_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/05\/event_148257_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/05\/event_148257_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/05\/event_148257_original-1.png" }, "occurrence_count":26, "first_occurrence":21903461 } , "148370-21904025": { "datetime_modified":"20260521T091353", "datetime_start":"20260603T100000", "datetime_end":"20260603T120000", "has_end_time":1, "date_start":"2026-06-03", "date_end":"2026-06-03", "time_start":"10:00:00", "time_end":"12:00:00", "time_zone":"America\/Detroit", "event_title":"Privacy for Structured Data Release: Time-Discounted Continual Release and Randomized Quantization", "occurrence_title":"", "combined_title":"Privacy for Structured Data Release: Time-Discounted Continual Release and Randomized Quantization: Yutong Li", "event_subtitle":"Yutong Li", "event_type":"Presentation", "event_type_id":"16", "description":"Abstract:\n\nDifferential privacy provides a formal framework for limiting disclosure risk in computations on sensitive data. This dissertation studies differential privacy in structured data-release settings, focusing on two forms of structure: temporal structure in continual release and quantization structure in finite-level release.\n\nFirst, we propose time-discounted differential privacy (TDDP) for continual release. Standard continual-release privacy definitions do not distinguish events by temporal distance, whereas the time-discounted formulation allows privacy requirements to decay as events become older. We develop mechanisms for this setting and analyze their privacy and utility guarantees.\n\nSecond, we analyze the Random Quantization Mechanism (RQM) of Youn et al., a mechanism that provides privacy-preserving randomized quantization through subsampling. The mechanism itself is not a contribution of this thesis; rather, we derive, under specified hyperparameter calibration requirements, a formal privacy characterization of RQM, including R\u00e9nyi DP guarantees, a max-divergence\/pure-DP refinement, and reconstruction-error bounds. These results make precise privacy claims that were not explicitly established in the original presentation of the mechanism. We then study RQM as a randomized quantization procedure, focusing on how preprocessing choices affect its behavior on unbounded and heavy-tailed data.\n\nFinally, we complement the theoretical analysis with an empirical study of RQM in several new settings, beginning with private mean estimation and then considering distributional approximation, clustering, and image obfuscation. The results show that RQM is most natural when quantization is already compatible with the intended data representation, while also highlighting its sensitivity to parameter choices and application context.", "occurrence_notes":null, "guid":"148370-21904025@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/148370", "building_id":"1000166", "building_name":"East Hall", "campus_maps_id":"53", "room":"4088", "location_name":"East Hall", "has_livestream":0, "cost":"", "tags":["Dissertation","Graduate","Graduate Students","Mathematics"], "website":"", "sponsors":[ { "group_name":"Dissertation Defense - Department of Mathematics", "group_id":"4889", "website":"" }, { "group_name":"Department of Mathematics", "group_id":"3791", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/05\/event_148370_original-1.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/05\/event_148370_original-1.jpg" }, "occurrence_count":1, "first_occurrence":21904025 } }