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X-WR-CALNAME:NOAA Center for Earth System Sciences and Remote Sensing Technologies
X-ORIGINAL-URL:https://www.cessrst.org
X-WR-CALDESC:Events for NOAA Center for Earth System Sciences and Remote Sensing Technologies
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DTSTART;TZID=America/New_York:20230223T123000
DTEND;TZID=America/New_York:20230223T133000
DTSTAMP:20260410T085156
CREATED:20230329T222245Z
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UID:3784-1677155400-1677159000@www.cessrst.org
SUMMARY:NOAA EPP CSC Education Seminar Series:  All about NOAA
DESCRIPTION:NOAA EPP/MSI CSC Education Seminar Series; a collaboration between NOAA EPP/MSI Cooperative Science Centers-CCME II\, NCASS II\, LMRCSC II\, and CESSRST II was launched today. \nTitle:  All about NOAA \nDate: February 23\, 2023 \nTime: 12:30pm \nSpeakers:  Jason Tuell\, Chris Kelble\, Joseph Pica\, and Jon Hare \nVirtual: please use this  zoom link to register \nDuring the seminar\, speakers- Jason Tuell (NWS)\, Chris Kelble (OAR)\, Joseph Pica (NESDIS)\, and Jon Hare (NMFS) provide insights on National Oceanic and Atmospheric Administration (NOAA) and its mission through their own experiences. They talk about NOAA workforce and opportunities for CSC students. \nThe purpose of the NOAA EPP/MSI CSC Education Seminar Series is to provide a platform for cross center education and training collaborations and engagement for all CSC student in NOAA mission training and opportunities \nThis seminar series provides the NOAA EPP/MSI Fellows an opportunity to meet with the entire CSC community and fellows/peers from other three NOAA Centers\, interact and network with NOAA professionals to gain knowledge about NOAA and its missions\, and build connections/pathways to potential NOAA mission enterprise workforce opportunities; gain the opportunity to participate in a Q&A session.
URL:https://www.cessrst.org/event/csc-education-seminar-series/
CATEGORIES:NOAA Seminar Series,Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://www.cessrst.org/wp-content/uploads/2023/03/EducationSeminar01.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221209T110000
DTEND;TZID=America/New_York:20221209T130000
DTSTAMP:20260410T085156
CREATED:20230306T192713Z
LAST-MODIFIED:20230306T192907Z
UID:3629-1670583600-1670590800@www.cessrst.org
SUMMARY:Artificial Intelligence and Machine Learning Mini Conference
DESCRIPTION:Sandia and Lawrence Berkeley National Laboratories \nArtificial Intelligence and Machine Learning Mini-Conference \nDay and Date: Friday\, December 9\, 2022 \nTime: 11:00 AM to 1:00 PM \nRegistration Link: https://us06web.zoom.us/j/82418547734 \nAI FOR HEALTHCARE AND BIOMEDICINE\nHealthcare and biomedical research require AI technologies to analyze large volumes of multimodal data in order to create predictive models of health and disease as well as technologies that enhance the interaction between healthcare providers and patients. Through a partnership between the Departments of Energy and Veterans Affairs\, the Berkeley Lab and other DOE labs are developing technologies to predict high risk for suicide and overdose\, cardiovascular disease\, and response to treatments\, among others. We use electronic health records and genomic data to analyze the predictive and protective factors involved. Also\, we are working on the integration of other factors that affect outcomes such as social and environmental determinants of health. We believe the latter will not only inform physicians and healthcare providers but also policymakers who need to quickly make decisions and allocate resources. In this seminar\, I will focus on 2 main areas that my group has been working on: developing Natural Language Processing (NLP) techniques to extract dramatic life events from medical notes. These events\, like housing and job instability\, social isolation\, and troubles with the law\, are poorly diagnosed in the medical records but healthcare providers’ notes are rich in information. We are also developing geospatial models to develop indexes of environmental and socio-economic vulnerability based on temperature\, air quality\, poverty\, unemployment\, crime\, and many more datasets. I will highlight the potential and limitations of AI in these growing fields as well as the areas where more work is needed. \nDR. SILVIA CRIVELLI AMCR\nI have been conducting research at the intersection of structural biology\, high-performance computing\, and applied math for more than twenty-five years. My research has two main goals: to bring scientists together\, both seasoned and young and from all walks of science\, to tackle long-standing\, extremely hard\, and multidisciplinary problems and to develop methods and software tools that empower physicians and researchers to predict the behavior of biological systems and\, more recently\, healthcare outcomes. I have been working together with biologists\, chemists\, computer scientists\, physicians\, and applied mathematicians. I am a co-PI of the DOE-VA Million Veterans Program which aims to integrate structured and unstructured data from electronic health records from more than 20 million veterans to develop patient-specific diagnostic strategies to improve healthcare for veterans. \nETHICS IN MACHINE LEARNING\nMachine learning affects our daily lives through our online activities\, our ability to get a job or loan\, or even our medical diagnoses. The potential for this statistical modeling is enormous\, but we must consider the ethical impacts of how ML is used for things that affect our lives. While these common ML uses seem to not affect scientific and engineering ML use\, science and engineering are just affected in different ways. For example\, data quality and selection for model training are always important for making a model that works as intended. Understanding the linkage between existing data and what the model should do is critical for both societal ML use as well as scientific. Underlying this data selection are ethical considerations important across all ML use cases. This talk focuses on many of the places ML is used in science and engineering as well as in society and how decisions made when developing ML models can have profound effects on the outcomes. Audience participation and discussion is strongly encouraged. Topical Areas: Applied & Computational Math; Computational Science & Engineering; Computer Science; Data Science; High-Performance Computing Topic/Methods/Domain: Machine Learning\, Data Science\, Ethics Target Audience: Undergraduate students; Masters students; Ph.D. students \nDR. JAY LOFSTEAD\nDr. Jay Lofstead is a Principal Member of Technical Staff in the Scalable System Software department of the Center for Computing Research at Sandia National Laboratories in Albuquerque\, NM. His work focuses on infrastructure to support all varieties of simulation\, scientific\, and engineering workflows with a strong emphasis on IO\, middleware\, storage\, transactions\, operating system features to support workflows\, containers\, software engineering and reproducibility. He is a co-founder of the IO500 storage list. He also works extensively to support various student mentoring and diversity programs at several venues each year including outreach to both high school and college students. Jay graduated with a BS\, MS\, and Ph.D. in Computer Science from Georgia Institute of Technology and was a recipient of a 2013 R&D 100 award for his work on the ADIOS IO library. \nFriday\, December 9 \n11:00 AM to 1:00 PM \nPLEASE REGISTER \nhttps://us06web.zoom.us/j/82418547734 \n============================= \n\nSustainable Horizons Institute We see a world in which all students\, academics\, scientists\, and engineers work in environments that are inviting\, engaging\, and reflective of their lived experiences. Science\, like our communities\, benefits from greater heterogeneity. We are working with individuals and organizations to help build vibrant\, diverse\, and inclusive workforces poised to tackle increasingly challenging scientific problems with greater innovation and higher-quality solutions. \nhttps://shinstitute.org \n============================
URL:https://www.cessrst.org/event/artificial-intelligence-and-machine-learning-mini-conference/
CATEGORIES:Informational Webinar
ATTACH;FMTTYPE=image/png:https://www.cessrst.org/wp-content/uploads/2023/03/AI-Seminar-01.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221108T143000
DTEND;TZID=America/New_York:20221108T153000
DTSTAMP:20260410T085156
CREATED:20230306T192409Z
LAST-MODIFIED:20230306T192409Z
UID:3627-1667917800-1667921400@www.cessrst.org
SUMMARY:NWS Information Webinar: Frontier Research in Earth Sciences (FRES)
DESCRIPTION:NSF Informational Webinar \nFrontier Research in Earth Sciences (FRES) program will be hosting an informational webinar. Below are the important details: \nDay and Date: Tuesday | November 8\, 2022 \nTime: 2:30-3:30 PM ET \nRegistration Link 
URL:https://www.cessrst.org/event/nws-information-webinar-frontier-research-in-earth-sciences-fres/
CATEGORIES:Informational Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221013T083000
DTEND;TZID=America/New_York:20221013T093000
DTSTAMP:20260410T085156
CREATED:20230306T160646Z
LAST-MODIFIED:20230306T160646Z
UID:3622-1665649800-1665653400@www.cessrst.org
SUMMARY:Seminar Series: Multi-Platform and Multi-Sensor Remote Sensing
DESCRIPTION:Title: Multi-Platform and Multi-Sensor Remote Sensing to Support Earth System Science Research \nSpeaker: Dr. Zhien Wang \nDate: October 13\, 2022 \nTime: 12:00 PM ET \nVenue: Exhibit Room\, Steinman Hall at the Grove School of Engineering (1st floor) \nZoom Link \nDownload the flyer here 
URL:https://www.cessrst.org/event/seminar-by-zhien-wang/
LOCATION:Grove School of Engineering\, 160 Convent Avenue\, New York\, NY\, 10031\, United States
CATEGORIES:Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://www.cessrst.org/wp-content/uploads/2023/03/z-wang.jpg
ORGANIZER;CN="Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)":MAILTO:cessrst@ccny.cuny.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221006T070000
DTEND;TZID=America/New_York:20221006T090000
DTSTAMP:20260410T085156
CREATED:20230306T154819Z
LAST-MODIFIED:20230306T154819Z
UID:3617-1665039600-1665046800@www.cessrst.org
SUMMARY:Seminar Series: NOAA’s New Strategic and Implementation Plans for Climate Ready Nation
DESCRIPTION:Title: NOAA’s New Strategic and Implementation Plans for Climate Ready Nation\, Equity and the New Blue Economy and Partnership Opportunities \nSpeaker: Dr. Mitchell D. Goldberg\, Chief Scientist for NOAA’s National Environmental Satellite\, Data and Information Service (NESDIS) \nDate: October 6\, 2022 \nTime: 11 AM ET \nVenue: T105\, 5th floor at the Grove School of Engineering\, CCNY. \nDownload Flyer here 
URL:https://www.cessrst.org/event/seminar-by-mitch-goldberg/
LOCATION:Grove School of Engineering\, 160 Convent Avenue\, New York\, NY\, 10031\, United States
CATEGORIES:Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://www.cessrst.org/wp-content/uploads/2023/03/MitchG.jpg
ORGANIZER;CN="Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)":MAILTO:cessrst@ccny.cuny.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220914T080000
DTEND;TZID=America/New_York:20220914T100000
DTSTAMP:20260410T085156
CREATED:20230306T150447Z
LAST-MODIFIED:20230306T154305Z
UID:3606-1663142400-1663149600@www.cessrst.org
SUMMARY:Seminar Series: Air Pollution impacts on the Carbon Cycle\, Food Security\, Human Health and Climate
DESCRIPTION:Seminar Title: Title: Air pollution Impacts on the Carbon Cycle\, Food Security\, Human Health and Climate \nSpeaker: Dr. Nadine Unger\, Professor and Chair of Atmospheric\, Chemistry University of Exeter\, Exeter UK \nDay and Date: Wednesday | September 14\, 2022 \nTime: 12:00 PM EDT \nLocation: Steinman Hall Exhibit Room at Grove School of Engineering\, CCNY \nDownload Flyer
URL:https://www.cessrst.org/event/seminar-by-nadine-unger/
LOCATION:City College of New York\, 160 Convent Avenue\, New York\, 10031
CATEGORIES:Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://www.cessrst.org/wp-content/uploads/2023/03/Nadine.jpg
ORGANIZER;CN="Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)":MAILTO:cessrst@ccny.cuny.edu
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