[Esip-machinelearning] Training opportunity: machine learning applications in hydrology and cryosphere

[Ziheng Sun]

Dear All,

We appreciate your help in sharing details with your colleagues and students about the GeoSMART Hackweek, October 23-27, 2023, hosted at the University of Washington in Seattle and remotely online.

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EVENT: GeoSMART Hackweek 2023<https://geosmart.hackweek.io/>, hosted by the University of Washington, eScience Institute, and the Department of Civil & Environmental Engineering.


WHEN: October 23-27, 2023.


WHERE: University of Washington, Seattle & online via Zoom (hybrid event).


WHAT YOU’LL LEARN: Join us for five days of data exploration, software development, and community building focused on machine learning applications in hydrology and cryosphere research. We will provide project overviews and optional, self-directed educational materials before the event to help participants get the most out of their hackweek experience. All materials and projects will use the Python programming language.


WHO IS IT FOR: Open to participants at all stages of their careers, from students and faculty to industry professionals. Needs-based travel and accommodation support funds are available for participants looking to travel from outside the Seattle region.


HOW TO APPLY: Applications are open until midnight (PDT) on September 15th, 2023. Visit the GeoSMART Hackweek website to apply<https://geosmart.hackweek.io/>.


QUESTIONS? For more information, contact geohack at uw.edu<mailto:geohack at uw.edu>.

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Thank you for your support!



Sincerely,

GeoSMART Hackweek Organizers


[https://lh4.googleusercontent.com/ngo4CxHpw7jJ7AQ_5PBnfYPLc6L32MsnijeUFlBteTJswIoQf_0I12p6c5KFeijVCpYdFgcEsCuutCs4HBSESy99DDCHLSPv5sLPfrAgW5jEmpsm9oIrADII6CDs-LmBldoCalEYhkW36UcTAu0ytuY]


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Ziheng Sun, Ph.D.

Department of Geography and Geoinformation Science

Center for Spatial Information Science and Systems

College of Science, George Mason University

E-mail: zsun at gmu.edu<mailto:zsun at gmu.edu>

Tel: 1-703-993-6124

Website: https://zihengsun.github.io<https://zihengsun.github.io/>

Github: Geoweaver<https://secure-web.cisco.com/16BwzADfo_HrQYvcRwymRLXYfi0PCo93zpe26c8xDhIcKo2ITSDkWnRSerDt5ltTD5vxYxCxBd4bjA9G_nBAHsPRMtZM9ZJVafS5DcoOsWqCM6nGiygPIFGYj_oHEDNFSseUREzvwm0FO94aa_0LwSHJ3U0laF0xeIwWtpZnzbOylkcqRNPhWnsEChWssXcGq_HWzeSfhWgl22qKtTAIiTJQP6funwcYooWdQh7b2C6EP2yrC-hfTMs-xdDuoMSDgQyykmtmATFsIjwB-ajpDC49PbaM193bVyq1cfdvITZEIS6-MIf8uDg-CE7KuotBXK-UMXkVTsfpoFjSILmez1tvxe6-7kaARDmZMidyX2VruvOzAncfa0mFhhTW2WOnO5TS7NrT95vg475TqaD03lNZ_R1D-0ilxM-3m6L1TJ14/https%3A%2F%2Furldefense.com%2Fv3%2F__https%3A%2F%2Fgithub.com%2FESIPFed%2FGeoweaver__%3B%21%21JYXjzlvb%21kaz6TKf8FeZBuGSlcUlTukzY1TTcu0VzKyeOCoRDFiKHm2q368H3etyn_tqZQI7yoVPGkvCE1Lk%24> | PyGeoweaver<https://secure-web.cisco.com/1fos0j703uaGvoVrQKs2ToDXCbxKikSZlxRmCBjX7ZaATdcArIan5y5X4IFydylQySkQPgMNVwedSSzGv9pyUQu4YzBuKLle7iX2UulBnuDDCx-pVei3_GGSbCImMrDh4lYajQlhW6rnUTrPcNBwkHVDSA-cuy4mi5zFv4kxXJyIJwi5gDU3s1MBWf1MU51CumiD6jRP-yBZ-K38xfLug905znPChcFSpMwNUHiWxK6ZAxmCuEuyjyekmQR1_jhf0_rfyC0-ovVg1Z5ZqLroLFCrw7Dtv33Po3s5KEfa2c1GTIHhQr-pPipD78qlr4TaMsAGjKPWJR6Uo781WqPRw92VKIWy7oRBkhm8--Hg6mSxFTao0d6xgTEav7vBahJCrEva_ZAseXBaLmusV0SBVU1ZO3kAJ__ByZyrfJks5_mo/https%3A%2F%2Furldefense.com%2Fv3%2F__https%3A%2F%2Fsecure-web.cisco.com%2F1SPrGFCBeOk4g8ZWWAmZfjbKBEaQRE1VYgqrR2zi6YkRqi_m_JfTJ6djoBQ3k2EdvlwWvXaJBDhRJxB-b4FPMXhmIcEgjl85M-PjD9MX4451ZoWZA9mTAehjDYBFkhs15ZyJooON5exdWSaATuwqsdTg2x0cboGCrP0pj9Yl5CKEhnloILMOK2xDSDyAz_7fOeEih1mxyzlXCafHGJfJWuus7IpDCoW9E7ycLVG_2jNyhtj9yEo1-IljdSDg-VEMq1RndCSnZGDJZBYL_3JQhOmzXwOliN8mqrkxIakMz4kCR4ytGmh7-JK7yBj-6mhBrmx0Ap214zSuy7uRSEwcf1n5ji0_6w08PTSojQUyoxIS7GxGm1umaHkZm3jkJCAvJ6nnvuyS1CQzlMS5vC-IxhUM72qbGLn6y3HJwIwHyO2A%2Fhttps%2A3A%2A2F%2A2Fgithub.com%2A2FESIPFed%2A2Fpygeoweaver__%3BJSUlJSU%21%21JYXjzlvb%21kaz6TKf8FeZBuGSlcUlTukzY1TTcu0VzKyeOCoRDFiKHm2q368H3etyn_tqZQI7yoVPGxdY4CcM%24>

Curriculum: https://geo-smart.github.io/curriculum

Special Issue: Recent Development of Practical AI in Remote Sensing and Geoinformatics<https://secure-web.cisco.com/1olTOxr1NJ3oL8HfugDx6s43JzjxqVgOm8jdtSifIg6p5BXcgH3WONxspny1akfnNvvbPabmB5rGmJYbX78RYEN4dXYjYN1eTFtmuEs4sIdsjTgVCOpnJUv3EU8YKJ6ovyRRTV497kPb75yuxa5cSExkD7D2XfY36KlU409UeFtvxqRqncwW20gMcLtUh4pEskIty4z5cggR05pNYCH_YPfM5gz0xbGxWW8kNsIexAStZPp8lAEBre1wGV-2_HbURcJE21cP281kb6wLUA5caB68ZDd964YhfAY5IuG7mHLd3whyiSyULrQsh9rJue-_QWVJKuq-rZ79MiFGAsq-YGGYOyijiRYsRv8zI2plmboaTmFuuePJxRQHydc98mOa2Z63W30ZdpIMjGh82MTJ7FZEn7TmicMuvk8NE_hzKMNQ/https%3A%2F%2Furldefense.com%2Fv3%2F__https%3A%2F%2Fwww.mdpi.com%2Fjournal%2Fremotesensing%2Fspecial_issues%2FAI_GMU__%3B%21%21JYXjzlvb%21kaz6TKf8FeZBuGSlcUlTukzY1TTcu0VzKyeOCoRDFiKHm2q368H3etyn_tqZQI7yoVPGHw_gbgU%24>

Book: Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges<https://secure-web.cisco.com/1jpofVhAQe9PnNhSWAnOpGAMSWQI-divOkOltPT2JbedoDaz3NDuAC9mHQSUHnJB7BcPRU5Uqq4qhEXUqWiXbD7koJZcQEb6aQFDl1lsVSoamKRUqTIFAH57KjMm3gjYtLiogajEd_sKum3lZUsBj7tqXfs8xZch7EM0Vsg7BmV9KOrzScs-DLbTx2-47SAKIk2B8rUdmcatckfnyy2_m7ElVwxSMcFnv_2wpl4ImTu1PPApsdvmH6fyKKasSp_FOX6kym-JyuufFsIlFIUZytPh6npifry97fLTUNfzOGuX0GA8ipLHbSezK4rdGeNMDU-IDXK6rh4_mo8BsYEHTN5fbaEgDHZ3H34dt5a5w0BsGCoEKUR0c7bm9rwFbkiSd1w7X2pwwesGT6FxOhUieUzX7bTnMmwzYEhHbMi6bRqA/https%3A%2F%2Furldefense.com%2Fv3%2F__https%3A%2F%2Fwww.sciencedirect.com%2Fbook%2F9780323917377%2Fartificial-intelligence-in-earth-science__%3B%21%21JYXjzlvb%21kaz6TKf8FeZBuGSlcUlTukzY1TTcu0VzKyeOCoRDFiKHm2q368H3etyn_tqZQI7yoVPGGP8cP_8%24> - ISBN: 9780323917377


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