Submit an Abstract for a CUAHSI-Convened AGU Session!
The 2020 AGU Fall Meeting will be held virtually December 7 - 11, 2020. Registration costs will also be lower that the typical rate. The abstract submission deadline is July 29, 2020 at 11:59 pm ET. Additional information and abstract submission information can be found here.
In addition to a contributed or invited science abstract, First Authors may submit one additional contributed abstract to a GeoHealth (GH) session, Education (ED) session, Science and Society (SY) session, or, for 2020, a COVID-19 session.
Topics of interest include process representation across differing landscape and anthropogenic conditions; coupled inland and coastal processes; data assimilation approaches; representation of geomorphic and bathymetric conditions; parametrization and calibration with a focus on machine/deep learning approaches; and performance testing. Particularly encourages are presentations that focus on facilitation of collaborations and enhancing community involvement to address regional or local water-related issues.
Identification and implementation of accurate metrics of impact and success is an ongoing challenge in the earth science data repository community and the research community. Quantifying value is burdensome because measures like use metrics do not translate directly to value, and value itself is subjective to the user and stakeholder.
This session will facilitate a discussion of aspects that contribute to assessing data repository value, including (1) methods used by data repositories to identify, implement, and interpret meaningful metrics that demonstrate value and progress towards goals; (2) challenges faced throughout these processes; (3) technologies used to gather and interpret metrics (4) best practices for implementing metrics (5) strategies for interpreting metrics; and (6) the researcher's perspective highlighting how the use of data repositories has added value to research including novel insights gained through the ability to find and reuse others' data, and the ability to compile comprehensive data sets.
Courses with a focus on hydrology and water resources typically employ a mixture of field, laboratory, computational, and theoretical approaches. The combination of pedagogical approaches, and the multiple disciplinary perspectives from which hydrologic topics are taught, presents challenges for rapid, widespread adoption of online instruction. Nonetheless, efforts to develop and disseminate hydrology-related curriculum online have been ongoing, and in spring 2020, instructors of face-to-face classes found themselves rapidly converting to online course delivery. Such online initiatives have the potential to improve future hydrology education regardless of instructional format by creating new, inclusive educational resources and approaches.
This session will highlight innovative teaching approaches and curriculum resources appropriate for remote delivery, as well as foster a community of online hydrology educators and identify needs for future curriculum development. Contributions that discuss instructor and student challenges, lessons learned, learning outcomes, and transferable knowledge from both designed and impromptu online courses are welcomed.
As the geosciences move towards increasingly computational problems, (under)graduate students need to learn programming skills to be prepared for research. Teaching these skills – computational research methods, software “carpentry”, data and code management, documentation, attribution – presents new challenges.
How do you teach students to do research using programming? How do you manage assessment? Has student feedback shaped your approach? Do you use GitHub or other platforms for sharing and version control of code? Do you use web-based platforms (MATLAB Online/LiveScript, Jupyter Notebooks, Docker) to reach an online student community? Are you using hardware (Arduino, smart phones, sensors) with your software?
This session is an opportunity to share methods, philosophies and best practices across the platforms and disciplines in which we work. It is inclusive of all programming languages and environments (MATLAB, Octave, Python, R, Julia, etc), and all approaches addressing the intersection of teaching, research, and programming are welcomed.