2016 CUAHSI Biennial Colloquium
Finding Your Place in Big Data: Using Observations to Understand Hydrologic Processes for Predicting a Changing World
July 24 – 27, 2016
National Conservation Training Center
Shepherdstown, West Virginia
The spatial and temporal resolution of environmental observations is increasing rapidly with advances in remote sensing, wireless in-situ sensor development, and environmental observatories. Big data, which is increasingly available to the hydrology community, has the potential to transform our approaches to address environmental problems. How can we use big data to improve understanding of complex interactions and feedbacks from local to global scales that are critical to understand past and predict future response of the hydrosphere to changes in climate and human activities? The theme of the 2016 CUAHSI Biennial meeting focuses on enabling the use of big data within the hydrologic sciences toward integrated understanding of complex processes, sustainability of water resources, and assessment of change across the global hydrosphere.
Featured Speakers Include:
- Dara Entekhabi, MIT
- Praveen Kumar, University of Illinois at Urbana-Champaign
- Lucy Nowell, U.S. Department of Energy
Register by June 8th for Early Bird Registration Rates!
$100 for students
$200 for professionals
Rates increase on June 9th!
- Do-It-Yourself, Open-Source Wireless Environmental Data Logging (Anthony Aufdenkampe and Steve Hicks, Stroud Water Research Center)
- Earthcube GeoSemantic Technologies for Model and Data Integration (Praveen Kumar, University of Illinois)
- CUAHSI Water Data Center (WDC) and Hydroshare (Martin Seul, CUAHSI)
- Modeling Landscape Response Using Big Data with Landlab (Erkan Istanbulluoglu, University of Washington)
- Community Modeling Discussions (Jon Pollak, CUAHSI)
- Karst in the Mid-Atlantic
- Geomorphology of Shenandoah Valley
Register by June 15th for Guaranteed Housing On-Site at NCTC!
Please feel free to contact Emily Clark (firstname.lastname@example.org) with any questions.