The National Center for Earth-surface Dynamics has created a new teaching forum, the Summer Institute on Earth-surface Dynamics (SIESD), designed to engage young scientists in a focused topic in Earth-surface dynamics. Drawing on NCED’s approach of integrating theory, laboratory experiments, numerical modeling, and fieldwork, this two-week institute combines lectures with practical experiences in the laboratory and the field.
SIESD 2017: Investigating scale in earth-surface systems to better inform predictions
Dates: August 10th-August 19th, 2017
Location: St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN
Scale is a fundamental attribute in how earth-surface systems operate and how we (scientists) study and understand them. The 2017 SIESD will concentrate on system behaviors that emerge from the interaction of processes operating at different spatial and temporal scales. Human activities, as a principal source of change, are included and introduce dimensions of scale that are unparalleled in geologic history. The themes of scale at SIESD will focus on two main applications: earthcasting – the simulation of large-scale earth-system interactions; and river deltas – a nexus of climate, land, ocean, and society.
Participant costs (enrollment, accommodations, breakfast and lunch on teaching days, and a few dinners) are supported by NCED2. However, applicants are responsible for the cost of transportation to and from Minneapolis, Minnesota, for meals not specified above, and all other incidental expenses.
Application deadline is May 12th, 2017.
Read more about past Summer Institutes:
SIESD 2016: Coupled hydro-eco-geomorphologic processes in human dominated landscapes: cascade of changes and the use of modeling for management and decision making
2016 SIESD's theme focused on examining the coupled interactions of surface processes in human-dominated landscapes, with the goal of better forecasting the physical and ecological outcomes of implementing different landscape management scenarios. From agricultural fields and urban areas to delta landscapes and coastlines, the vulnerabilities of natural-human systems must be better understood to guide decision-making toward sustainability and resilience.
Like previous workshops, SIESD 2016 aimed to develop a basic working knowledge of analysis tools that can help us make sense of complex surface systems, including connections between field, laboratory, and modeling. Students participated in taught classroom sessions, hands-on work with computational tools, field work, and physical experiments that the course participants will help design and run.
SIESD 2015: Summer in the Swamp: Self-organization in landscapes and its residue in the stratigraphic record
This year's theme maintains our current focus on linking surface processes and subsurface records, but with a new flavor: it is field-centric and will be hosted at Tulane University to take advantage of the unique and fascinating Mississippi River Delta. The aims for 2015 are to develop a basic working knowledge of analysis tools that can help us make sense of complex surface systems and their depositional records, and begin to make predictions in both realms. We will focus on building connections: between surface and subsurface, between field and laboratory, and among physical biological and geochecmial processes. SIESD will combine classical methods of process analysis, measurement and predication with methods related to emerging ideas in areas such as reduced complexity, modeling, network analysis, pattern formation, and geostatistics. Students will participate in taught class-room sessions, hands-on work with computational tools, field work, and physical experiments that the course participants will help design and run.
SIESD 2014: Complexity and Predictability in Depositional Systems
This year's theme builds on the 2013 SIESD theme, linking surface processes and depositional records, with a new focus on formal, quantitative analysis of complexity and its effect on prediction both of evolution and change in present-day systems and of 3D structure in the subsurface. The key objective of the 2014 SIESD is to develop a working knowledge of analysis tools that can help us navigate the complexity of the surface-process interactions to provide insights into the behavior of depositional systems. In particular, the SIESD will combine classical methods of process analysis and prediction with methods related to emerging ideas in reduce complexity modeling, network analysis, multi-scale analysis, non-locality, pattern formation, and quantification of change. Students will participate in taught class-room sessions, hands-on work with computational tools, and a physical experiement that the course participants will design and run over the duration of the course.
August 8-17, 2012
University of Minnesota, Minneapolis, Minnesota USA
University of Minnesota, Minneapolis, Minnesota