July 31: Deadline to submit abstract to CUAHSI sessions at AGU Fall Meeting 2019!

Consider submitting an abstract to the following CUAHSI sessions at AGU Fall Meeting 2019:

Advancing Digital and Online Education in the Earth and Space Sciences

The availability of new data and technology has provided new avenues for learning science and teaching methods in classrooms and virtual environments by students, faculty, and professionals. A wide variety of resources are now online or in development. Similarly new collaborative teaching models are emerging to provide flexibility in traditional and short course offerings at multiple universities and other institutions. This can leverage a broader range of expertise to deliver educational content, provide options not available locally, and improve outcomes. This session seeks contributions from researchers, creators, educators, and administrators outlining efforts and learning outcomes in developing new resources and teaching models in Earth and Space Sciences (including ecology, climate, environmental, and planetary sciences). Relevant efforts include, but are not limited to, online education, Open Educational Resources (OER) and other digital teaching/learning resources, professional development, and collaborative teaching experiences.

View Session Details: https://agu.confex.com/agu/fm19/prelim.cgi/Session/85509

Advancing Diversity, Equity, and Inclusion in the Hydrologic Sciences: Where Do We Want to Be and How Do We Get There?

There has been a lack of improvement in representation in the geosciences in the past 40 years. The underlying data is not sufficiently refined to draw specific inferences about diversity, equity, and inclusion (DEI) in the hydrologic sciences, but nevertheless serve as background for the geosciences as a whole. This session seeks contributions from researchers, educators, and administrators outlining: (1) efforts to characterize the state of DEI in the hydrologic sciences, (2) key cultural, social, and programmatic barriers to DEI in the hydrologic sciences and strategies to overcome them, and (3) case studies of efforts to increase DEI in programs that might include the hydrologic sciences. Particularly welcome are contributions outlining roles that domain-specific organizations can play in effectively improving DEI.

View Session Details: https://agu.confex.com/agu/fm19/prelim.cgi/Session/80035

Advancing FAIR Data Principles While Preserving Data Ownership, Privacy, and Integrity

AGU’s Findable, Accessible, Interoperable, and Reusable (FAIR) data principles are creating awareness for improving the way science and research are conducted and products disseminated. Although there is a growing acceptance of FAIR principles and an associated growing demand for data, applications of FAIR are complicated by the need to preserve data ownership, privacy, and integrity. These challenges are exacerbated when dealing with transboundary and multi-jurisdictional issues. The FAIR data principles clearly state that “FAIR data and open data are different, although there are similarities,” so how can we continue to strengthen FAIR data principles, while also addressing inherent and very real data concerns? For this session, we encourage submissions, especially case studies, describing innovative approaches, technologies, tools, polices, or governance models that enable FAIR data while addressing obstacles associated with data ownership, privacy, and integrity issues to advance knowledge and societal benefits.

View Session Details: https://agu.confex.com/agu/fm19/prelim.cgi/Session/79891

Advances in integrated data collection, analyses and flood modeling of complex urban systems

Recent unprecedented extreme events have highlighted that the existing approach for managing flood risk is inadequate for complex urban systems because of its over reliance on simplistic methods, lack of model physicality and inadequate treatment of interconnectedness of the HydroGrid, a complex multi-layer network of water in natural and built environments. To increase flood resilience in urban environments, we must leverage current advances in integrated modeling of physical processes, and emerging technologies in data collection and analysis across the urban system. This session invites studies demonstrating: (i) the application of hyper-resolution flood modeling and forecasting frameworks for urban systems, (ii) systems analysis and data science techniques for advancing flood resilience, (iii) information delivery technologies for real-time decision-making across the entirety of the urban system, (iv) use of novel data collection methods, including citizen science for improving urban flood prediction, and (v) integrated modeling, and physical and financial  flood mitigation strategies.

View Session Details: https://agu.confex.com/agu/fm19/prelim.cgi/Session/85529

Advancing Water Science with Convergence Research

Many of the next great advancements in science lie at the nexus of multiple traditional disciplines. Pressing societal shifts like a changing climate, urbanization, and population growth require new knowledge created by interdisciplinary teams to address specific, complex questions. This is particularly true in hydrology, where it is common to find physical scientists, computer engineers, and policy makers working together to solve some of the greatest water science issues. The U.S. National Science Foundation has defined this as Convergence Research and advertises the concept as one of its Ten Big Ideas for Future Investment due to the potential impact of “integrating knowledge, methods, and expertise from different disciplines and forming novel frameworks to catalyze scientific discovery and innovation.” This session will highlight the successes and challenges of interdisciplinary teams as they develop frameworks and resources for progress in hydrology, particularly advances that may not have been possible without collaborative knowledge. 

View Session Details: https://agu.confex.com/agu/fm19/prelim.cgi/Session/83187

Continental Scale Modeling: Process Heterogeneity from Summit to Sea

The NWS Office of Water Prediction is leading development of the National Water Model (NWM). Ultimately, the NWM will include capabilities for forecasting the full suite of water budget variables from local to continental scales, providing insight into inland and coastal flooding, droughts, waterborne navigation, emergency response, water quality and water supply. Continental-scale hydrologic prediction represents a new frontier at the nexus of coupled atmospheric, hydrologic and coastal models, with important connections to subsurface processes, remote sensing, data assimilation, anthropogenic effects, big data, decision support, calibration and parameter estimation, machine learning, model testing and evaluation.  The role of and adequate representations to simulate process heterogeneity over a range of scales is of particular interest.  The development of the NWM provides natural collaborative opportunities and this session seeks presentations or posters on any of these topics, with a particular focus on facilitation of collaborations and enhancing community involvement.

View Session Details: https://agu.confex.com/agu/fm19/prelim.cgi/Session/85513

Water and Society: Water Resources Management and Policy in a Changing World

Water plays a critical role in sustaining human health, food security and ecosystem services. Population growth, climate and land use change increasingly threaten water quality and quantity. Successful management of water resources requires an integrative understanding of coupled human and natural system components that can be used to generate practical, scientifically sound, and socially acceptable solutions. This Water and Society session provides a forum for discussing the advances in water resources systems analysis, planning and management to inform public policy, water resource allocation, conflict resolution, water governance, and sustainable development in a changing world.

View Session Details: https://agu.confex.com/agu/fm19/prelim.cgi/Session/77235

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Other sessions of interest:

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Deadline to submit is July 31, 2019.

For more information, including how to submit, click here.