"Summer Institute on Cyberinfrastructure for Socio-Environmental Synthesis"
Over the four-day course (optionally five-day, see below), participants from several research teams will receive instruction on scripting complete data pipelines and implementing distributed workflows within the R + RStudio development environment.
The National Socio-Environmental Synthesis Center (SESYNC) invites applications to a short course on data and coding skills for socio-environmental synthesis. We are hopeful that the 7th annual Summer Institute will continue as planned for Tuesday, July 21, 2020 (optionally July 20) through Friday, July 24, 2020, at SESYNC in Annapolis, Maryland.
By: Lauren White
By: Alaina Gallagher
"Enhancing Graduate Sustainability Leadership Skills with Socio-Environmental Synthesis"
We propose a meeting of practitioners and experts from institutions across North America that represent key players in graduate sustainability leadership training.
By: Alaina Gallagher
Many people know Google Earth as the popular satellite imagery viewing program that transports users to places around the world without ever having to leave their desks. Fewer people, however, may be as familiar with its counterpart Google Earth Engine (GEE)—an analysis tool that takes these satellite images a step further by providing large corresponding datasets.
"Social-Ecological Drivers of Change Over Time in Urban Woodlands"
Remnant and regenerating forest patches are hotspots of biodiversity and ecosystem services in urban regions. Social uses and benefits, abrupt forest edges, introduced and invasive species, and urban climate warming combine to create novel ecological conditions and management challenges in urban woodlands. An array of public, private, and non-profit organizations engage in management and stewardship of these urban woodland patches.
"Synthesizing Research on Pastoral Governance of Common-Pool Resources"
Communities of mobile livestock keepers—pastoralists—often have systems for the governance and management of land and resources that do not conform to theoretical models that have been developed based on experience in other kinds of ecosystems.