ED53E:
Educating the Next Generation of Scientists: Interdisciplinary Education Bridging Geoscience and Data Science II Posters


Submit an Abstract to this Session


Session ID#: 53261

Session Description:
This session invites presentations that focus on the development of education materials for learning at the intersection of earth and data science.  Given the emergence of huge amounts of observed and model output data becoming available in the geosciences, it is crucial to educate the next generation of geoscientists to have significant skills not only in geosciences, but also in data analysis and related areas like machine learning, artificial intelligence, statistics and other types of applied mathematics.  Presentations will discuss coursework, curricula, and other materials along with the challenges and success that educators have had during development and implementation.
Primary Convener:  Deana D Pennington, University of Texas at El Paso, El Paso, TX, United States
Conveners:  Jo Martin, Oberlin College, Oberlin, OH, United States, Natalie Freed, Texas Advanced Computing Center, Austin, TX, United States and Imme Ebert-Uphoff, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
Primary Liaison:  Deana D Pennington, University of Texas at El Paso, El Paso, TX, United States
Chairs:  Deana D Pennington, University of Texas at El Paso, El Paso, TX, United States and Jo Martin, Oberlin College, Oberlin, OH, United States
OSPA Liaison:  Suzanne A Pierce, University of Texas at Austin, Austin, TX, United States
Co-Organized with:
Education, and Earth and Space Science Informatics

Proposed Co-Organized Session with:
  • IN - Earth and Space Science Informatics
Index Terms:

0815 Informal education [EDUCATION]
0820 Curriculum and laboratory design [EDUCATION]
1920 Emerging informatics technologies [INFORMATICS]
1942 Machine learning [INFORMATICS]

Abstracts Submitted to this Session:

Some thoughts on a New Curriculum for Undergraduates in Big Data in the Geosciences (406875)
Ming Zhao1, Lucas Chen Sr2,3, David A Yuen2,4 and Lizhe Wang2,3, (1)IGP Institute of Geophysics, China Earthquake Administration, Beijing, China, (2)China University of Geosciences Wuhan, Department of Big Data, Wuhan, China, (3)China University of Geosciences Wuhan, School of Computer Science, Wuhan, China, (4)Columbia University, Dept. of Applied Physics and Applied Mathematics, New York, United States
Towards an integrated Earth System education in Norway (464377)
Jostein Bakke, University of Bergen, Department of Earth Science, Bergen, Norway
Cultivating Identity and Relevance in Active Learning: A Preliminary Exploration of Teaching in a Data Driven Statistics Course (387133)
Ruchi Bhattacharya, University of Missouri Columbia, Columbia, MO, United States, Terrell R. Morton, University of Missouri Columbia, Learning Teaching & Curriculum, Columbia, MO, United States, Auden C Conyers, University of Missouri Columbia, College of Arts & Science, Columbia, MO, United States, Clarissa Swanson, University of Missouri, College of Education, Columbia, MO, United States and Kiersten Timmer, University of Missouri Columbia, College of Education, Columbia, MO, United States
Science Fiction Prototyping as a platform for interdisciplinary education and outreach (421157)
Patrick Keys, Colorado State University, Atmospheric Science, Fort Collins, United States
Water, Energy, Food, the Environment, and Public Policy – Opportunities and Tradeoffs: An Interactive Classroom Experience (428221)
Mary C Hill, University of Kansas, Geology, Lawrence, KS, United States
Sustainable Software and a Satellite Data Hackathon- Outcomes from a UK Polar Network Workshop for Early Career Polar Scientists (405679)
Sammie Claire Buzzard1, Michel Tsamados2, Archana Dayal3, Kyle Mayers4, Chelsey Adrianne Baker5, Emma Lewington3, Anna Belcher6, Nabi Asif7, Joseph Cook8, Georgia M Hole9, Guy Doza10, Tun Jan Young11, Anya Schlich-Davies12, Julia Feuer Cotter13, Madeleine Brasier14 and Laura Hobbs15, (1)Georgia Institute of Technology Main Campus, Atlanta, United States, (2)UCL CPOM, London, United Kingdom, (3)University of Sheffield, Sheffield, United Kingdom, (4)University of Southampton, Ocean & Earth Sciences, Southampton, United Kingdom, (5)University of Southampton, Southampton, United Kingdom, (6)NERC British Antarctic Survey, OBE, Cambridge, United Kingdom, (7)STEM Learning UK, London, United Kingdom, (8)University of Sheffield, School of Geography, Sheffield, S10, United Kingdom, (9)University of Oxford, Oxford, United Kingdom, (10)UKAHT, Cambridge, United Kingdom, (11)Scott Polar Research Institute, Cambridge, United Kingdom, (12)University of Leeds, School of Earth and Environment, Leeds, United Kingdom, (13)University of Nottingham, Nottingham, United Kingdom, (14)University of Liverpool, Liverpool, United Kingdom, (15)Scottish Association for Marine Science, Oban, United Kingdom
Teaching hydrogeology with a Simple Online Groundwater Model (SOGWaM) (467777)
Christopher J Russoniello1, Laura Lautz2, Jim Fawcett3, Ritesh G Nair3, Akash A Bhosale3 and Ashwani Bhatt3, (1)Syracuse University, Earth Sciences, Syracuse, NY, United States, (2)Syracuse University, Syracuse, United States, (3)Syracuse University, Electrical Engineering and Computer Science Department, Syracuse, NY, United States
The JPSS-SPARKS Initiative: Bridging Between the CUNY Classroom and the NOAA Workforce (436992)
Michael Wilson, GAMA-1 Technologies at National Oceanic and Atmospheric Administration (NOAA), College Park MD, United States, Shakila Merchant, CUNY City College of New York, New York, United States, Murty G Divakarla, IMSG, Inc., at National Oceanic and Atmospheric Administration (NOAA), College Park MD, United States and Valerie Jean Mikles, IMSG, College Park, MD, United States
My NASA Data 2.0: Reducing Barriers to Access Earth System Data (368149)
Elizabeth Joyner, NASA Langley Research Center, Hampton, VA, United States, Bradley M Hegyi, NASA Langley Research Center, Hampton, United States, Mary Anna Garifo, NASA Langley Research Center, Science Directorate, Hampton, VA, United States and Hailey Gilman, Randolph College, Physics, Lynchburg, VA, United States
ENABLING COMMUNITIES IN THE USE AND APPLICATIONS OF NASA’S EARTH SCIENCE DATA AND INFORMATION PRODUCTS: INTERACTIVE WEBINARS THAT WORK (374726)
Francis E Lindsay1, Jennifer Brennan2, Jeanne Behnke3 and Christopher Lynnes2, (1)NASA Goddard Space Flight Center, Greenbelt. MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)GSFC, Greenbelt, MD, United States
ClimateNet: bringing the power of Deep Learning to the climate community via open datasets and architectures (399073)
Mr Prabhat1, Karthik Kashinath2, Thorsten Kurth3, Mayur Mudigonda1, Ankur Mahesh4, Benjamin A Toms5, Jim Biard6, Soo Kyung Kim7, Samira Kahou8, Burlen Loring9, Jebb Stewart10, Sangram Ganguly11, Travis Allen O'Brien12, Kenneth Kunkel13, Michael F Wehner14 and William Drew Collins15, (1)University of California Berkeley, Berkeley, CA, United States, (2)NVIDIA Corporation, Santa Clara, CA, United States, (3)NVIDIA Corporation, Zurich, Switzerland, (4)Lawrence Berkeley National Laboratory, Earth and Environmental Science, Berkeley, United States, (5)Colorado State University, Fort Collins, CO, United States, (6)Cooperative Institute for Climate and Satellite North Carolina State, Asheville, NC, United States, (7)LLNL, Livermore, United States, (8)Microsoft Research, Montreal, Canada, (9)Lawrence Berkeley National Laboratory, Computational Research Division, Berkeley, United States, (10)NOAA Global Systems Laboratory, Boulder, United States, (11)Rhombus Power, Palo Alto, United States, (12)Lawrence Berkeley National Lab, Climate & Ecosystem Sciences Division, Berkeley, United States, (13)University of Illinois at Urbana Champaign, Urbana, United States, (14)Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, United States, (15)Berkeley Lab and UC Berkeley, Berkeley, United States
A Novel Data Science Gateway for Visual Exploration and Analysis of Surveys and Image Collections in Education and Research (428337)
Ilya Zaslavsky, San Diego Supercomputer Center, La Jolla, United States
Cassini’s Legacy: Preserving History While Making Data Accessible (429587)
Scott G Edgington, Jet Propulsion Lab/Caltech, Pasadena, CA, United States, Reta F Beebe, New Mexico State University, Las Cruces, NM, United States, Barbara Ann Streiffert, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Andrea Connell, Jet Propulsion Laboratory, m/s 230-175D, Pasadena, CA, United States, Robert K Tapella, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Shawn A Boll, Jet Propulsion Laboratory/Caltech, Pasadena, United States, Brooks M Brooks, NASA Jet Propulsion Laboratory, 397D, Pasadena, CA, United States and Kathryn R Weld, Jet Propulsion Laboratory, 4500, Pasadena, CA, United States
How accessible is machine learning for non-computer scientists? Application of deep learning in physical oceanography and deep sea ecology (461913)
Donglai Gong and Jeanna Hudson, Virginia Institute of Marine Science, Gloucester Point, VA, United States
Out of RAM? Practical First Steps for Accelerating Research (463357)
Amanda Tan, University of Washington, Seattle, WA, United States, Catherine Kuhn, University of Washington Seattle Campus, School of Environmental and Forestry Sciences, Seattle, WA, United States and Dennis Robert Fatland, Unversity of Washington, Seattle, WA, United States

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