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DTSTART;TZID=America/Detroit:20260916T110000
DTEND;TZID=America/Detroit:20260916T120000
DTSTAMP:20260605T233843
CREATED:20260408T133807Z
LAST-MODIFIED:20260505T183849Z
UID:28556-1789556400-1789560000@ciglr.seas.umich.edu
SUMMARY:09/16/2026: Growing Aquaculture in the Great Lakes: Aligning Regional Action with National Trends
DESCRIPTION:Please join us for a Great Lakes Seminar Series – subscribe!\nTime: 11:00am – 12:00pm EDT\nLocation: Virtual or NOAA Great Lakes Environmental Research Laboratory\, Lake Superior Hall*\nPresenter: Dr. Lauren N Stigers\, Extension Educator\, MSU Extension and Michigan Sea Grant \nTitle: Growing Aquaculture in the Great Lakes: Aligning Regional Action with National Trends\n \nEvent Flyer\nWebinar Registration Link \nAbout the presentation: Aquaculture now supplies most of the world’s seafood (57%)\, yet the U.S. remains heavily reliant on imports\, producing only 11% of its seafood through aquaculture and carrying a $24.2 billion seafood trade deficit (FAO 2024; NMFS 2024). Freshwater aquaculture—primarily catfish\, crawfish\, and trout—generated $872 million in 2022\, and recent analysis shows U.S. aquaculture contributes $4 billion annually in production with several‑fold broader economic impacts (Kumar et al. 2024). Despite this national significance\, aquaculture for food remains underdeveloped in the Great Lakes region\, where research and management have long centered on recreational fisheries. \nThis seminar will connect national and regional perspectives on U.S. aquaculture growth. Mrs. Cherry will provide a brief overview of the direction U.S. aquaculture has taken in recent years\, describing new policy initiatives and research investments that are working to foster sustainable U.S. aquaculture development at the national level. Dr. Stigers will present on several key initiatives that have been fundamental for supporting aquaculture in the Great Lakes region. Her initiatives include many collaborative projects focusing mainly on Great Lakes’ (1) governance and sustainability of seafood systems\, and (2) consumer education and aquaculture literacy.\n \nAbout the speaker: Dr. Lauren Stigers is a Michigan Sea Grant Extension Educator based in the Houghton–Hancock area of Michigan’s Upper Peninsula. She specializes in aquaculture\, commercial fisheries\, seafood processing\, and science‑based outreach\, connecting industry needs with research\, education\, and community priorities. With a background spanning applied research\, workforce development\, and policy communication\, Dr. Stigers leads collaborative initiatives that strengthen Great Lakes seafood systems\, support working waterfronts\, and advance sustainable aquaculture across Michigan. \n_____________________________________________________\n*IMPORTANT VISITOR INFORMATION\nAs of July 2025 the GLERL facility can no longer accept visitors for the Great Lakes Seminar Series due to staffing shortages. Please attend virtually using the link above. \nAll seminar attendees are required to receive a visitor badge from the front desk at the NOAA Great Lakes Environmental Research Laboratory facility. Attendees need to present a valid U.S. photo ID or green card. If you are a Foreign National\, we encourage you to attend virtually. For questions regarding building access\, please email Margaret Throckmorton at throckmj@umich.edu. Additional questions? Contact Margaret Throckmorton: throckmj@umich.edu; visit ciglr.seas.umich.edu for more information.
URL:https://ciglr.seas.umich.edu/event/09162026-lauren-stigers/
LOCATION:NOAA Great Lakes Environmental Research Laboratory\, 4840 S State Rd\, Ann Arbor\, MI\, 48104\, United States
CATEGORIES:Great Lakes Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://ciglr.seas.umich.edu/wp-content/uploads/2026/04/Lauren-Jescovitch-400px-1.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20261008T110000
DTEND;TZID=America/Detroit:20261008T120000
DTSTAMP:20260605T233843
CREATED:20260414T130931Z
LAST-MODIFIED:20260526T142610Z
UID:28603-1791457200-1791460800@ciglr.seas.umich.edu
SUMMARY:10/08/2026: Streamflow Forecasting using Physical-Aware AI/DL Models and Improving the Precipitation Forecasts at the Subseasonal-to-Seasonal Scale in Support of Adaptive Reservoir Operation
DESCRIPTION:Please join us for a Great Lakes Seminar Series – subscribe!\nTime: 11:00am – 12:00pm EDT\nLocation: Virtual or NOAA Great Lakes Environmental Research Laboratory\, Lake Superior Hall*\nPresenter: Dr. Tiantian Yang\, Associate Professor\, School for Environment and Sustainability (SEAS)\, University of Michigan\nTitle: Streamflow Forecasting using Physical-Aware AI/DL Models and Improving the Precipitation Forecasts at the Subseasonal-to-Seasonal Scale in Support of Adaptive Reservoir Operation\n \nEvent Flyer\nWebinar Registration Link \nAbout the presentation: Reservoirs and lakes are fundamental and multi-functional water infrastructures that collect\, store\, and deliver surface freshwater for a multitude of uses\, including flood and fire control\, recreation\, wildlife habitat\, residential\, industrial\, agricultural practices\, irrigation\, hydro-electric power generation\, drought mitigation\, and more. It is also a critical engineering environment that intervenes with both the hydrological cycle and human factors. Reservoir and lake release decisions\, inflow forecasting\, and storage management directly influence various aspects of socioeconomic functioning and our nation’s water resources’ security. In recent years\, more frequent and severe abrupt weather extremes\, natural hazards\, aging infrastructure\, and increased water demands due to population growth have placed another significant barrier preventing the effective\, sustainable\, and adaptive operation of the existing reservoir and lake systems. Therefore\, new technologies and innovations are critically needed to improve the existing reservoir and lake operation and management\, i.e.\, the “status quo”\, of built water systems in our nation. \nIn support of adaptive reservoir operation\, in this talk\, Dr. Tiantian Yang will present his current research on enhancing streamflow prediction at subseasonal-to-seasonal (S2S) timescales by improving precipitation forecasts and hydrologic simulations through the integration of physical hydrologic models and physically-aware artificial intelligence and deep learning (AI/DL) tools. These hybrid models aim to retain the interpretability and physical consistency of traditional models while leveraging the pattern recognition and scalability of AI/DL. Case studies will demonstrate how these hybrid AI/DL models perform in forecasting flood events across hundreds of watersheds over CONUS\, and how the precipitation could be better predicted at the S2S scale using existing seasonal forecast models\n \nAbout the speaker:  Dr. Tiantian Yang is currently a tenured associate professor in the School for Environment and Sustainability (SEAS) at the University of Michigan (UM) at Ann Arbor. Before joining UM\, Dr. Yang was a tenured faculty in the School of Civil Engineering and Environmental Science (CEES) at the University of Oklahoma (OU). He was the associate director of the OU Hydrology & Water Security online master’s degree program at OU. Before becoming a faculty member in OU and UM\, Dr. Yang worked in the private sector for a few years in Deltares Netherlands\, whose former was Delft Hydraulics and GeoDelft University. During his time in the private sector and consulting world\, Dr. Yang served many U.S. federal agencies as clients\, including Bonneville Power Administration\, Tennessee Valley Authority\, and the National Weather Service and its 13 River Forecast Centers. Dr. Yang was an AGU Hydrology Section Early Career Awardee (2025)\, and also an NSF Early Career Awardee (2023). \nDr.Yang obtained his Ph.D. degree in Civil Engineering from the Department of Civil and Environmental Engineering of the University of California\, Irvine (UC Irvine) in 2015\, mentored by NAE and Distinguished Professor Dr. Soroosh Sorooshian. Yang’s master’s degree was in Mechanical and Aerospace Engineering from the Department of Mechanical and Aerospace Engineering at UC Irvine (2010). His bachelor’s degree was also in Mechanical and Aerospace Engineering from Tsinghua University\, China (2009). Yang’s work is mainly supported by the NSF\, the U.S. Bureau of Reclamation\, the US Army Corps of Engineers (USACE)\, DoD Engineering With Nature (EWN)\, the American Council for Education (ACE)’s International Partnership Program\, NOAA\, and the DOE’s Clean Energy Research Center on Water-Energy Technology (CERC-WET) Program. \n_____________________________________________________\n*IMPORTANT VISITOR INFORMATION\nAs of July 2025 the GLERL facility can no longer accept visitors for the Great Lakes Seminar Series due to staffing shortages. Please attend virtually using the link above. \nAll seminar attendees are required to receive a visitor badge from the front desk at the NOAA Great Lakes Environmental Research Laboratory facility. Attendees need to present a valid U.S. photo ID or green card. If you are a Foreign National\, we encourage you to attend virtually. For questions regarding building access\, please email Margaret Throckmorton at throckmj@umich.edu. Additional questions? Contact Margaret Throckmorton: throckmj@umich.edu; visit ciglr.seas.umich.edu for more information.
URL:https://ciglr.seas.umich.edu/event/10082026-tiantian-yang/
LOCATION:NOAA Great Lakes Environmental Research Laboratory\, 4840 S State Rd\, Ann Arbor\, MI\, 48104\, United States
CATEGORIES:Great Lakes Seminar Series
ATTACH;FMTTYPE=image/png:https://ciglr.seas.umich.edu/wp-content/uploads/2026/04/Tiantian-Yang-1.png
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20261105T110000
DTEND;TZID=America/Detroit:20261105T120000
DTSTAMP:20260605T233843
CREATED:20260427T144408Z
LAST-MODIFIED:20260507T030444Z
UID:28626-1793876400-1793880000@ciglr.seas.umich.edu
SUMMARY:11/05/2026: Algorithmic Foundations for Widespread Autonomous Marine Observation
DESCRIPTION:Please join us for a Great Lakes Seminar Series – subscribe!\nTime: 11:00am – 12:00pm EDT\nLocation: Virtual or NOAA Great Lakes Environmental Research Laboratory\, Lake Superior Hall*\nPresenter: Dr. Alan Papalia\, Assistant Professor\, Naval Architecture and Marine Engineering\, University of Michigan\nTitle: Algorithmic Foundations for Widespread Autonomous Marine Observation\n \nEvent Flyer\nWebinar Registration Link \nAbout the presentation: TBD \nAbout the speaker:  Alan Papalia is an assistant professor in Naval Architecture & Marine Engineering at the University of Michigan\, where he runs the Robotic Exploration Lab. He received his PhD in Ocean Engineering from MIT and the Woods Hole Oceanographic Institution. His research focuses on algorithms to enable robots to explore\, study\, and understand the natural world\, with an aim of dramatically increasing the amount and types of data we have access to. He is a recipient of the IEEE Transactions on Robotics King-Sun Fu Best Paper Award and was selected as a 2025 Robotics: Science and Systems Pioneer. \n_____________________________________________________\n*IMPORTANT VISITOR INFORMATION\nAs of July 2025 the GLERL facility can no longer accept visitors for the Great Lakes Seminar Series due to staffing shortages. Please attend virtually using the link above. \nAll seminar attendees are required to receive a visitor badge from the front desk at the NOAA Great Lakes Environmental Research Laboratory facility. Attendees need to present a valid U.S. photo ID or green card. If you are a Foreign National\, we encourage you to attend virtually. For questions regarding building access\, please email Margaret Throckmorton at throckmj@umich.edu. Additional questions? Contact Margaret Throckmorton: throckmj@umich.edu; visit ciglr.seas.umich.edu for more information.
URL:https://ciglr.seas.umich.edu/event/11052026_alan_papalia/
LOCATION:NOAA Great Lakes Environmental Research Laboratory\, 4840 S State Rd\, Ann Arbor\, MI\, 48104\, United States
CATEGORIES:Great Lakes Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://ciglr.seas.umich.edu/wp-content/uploads/2026/04/AlanPapalia_headshot-1.jpg
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