Thank you for your interest in our April webinar! Please register below. Registering helps us demonstrate to our funders, the National Science Foundation, that we are reaching members of our community.
April 12, 2017 at 1 pm Eastern/10 am Pacific
Gateway Showcase featuring
Ensayo Project’s SimEOC: A Web-Based Virtual Emergency Operations Center Simulator for Training and Research
Presented by Greg Madey, University of Notre Dame
Abstract: Training is an integral part of disaster preparedness. Practice in dealing with crises improves one’s ability to manage emergency situations. As an emergency escalates, more and more agencies get involved. These agencies require training to learn how to manage the crisis and to work together across jurisdictional boundaries. Consequently, training requires participation from many individuals, consumes a great deal of resources in vendor cost for support and staff time, and cannot be conducted often. Moreover, in the current crisis management environment, most training is conducted through discussion-based tabletop and paper-based scenario performance exercises. SimEOC was developed under the NSF-funded Ensayo Project. It is a web-based training simulator and research tool. SimEOC is built using MongoDB, Express.js, Angular and Node.js (the MEAN stack). A design overview and demonstration will be provided.
Spatial Portal for Analysis of Climatic Effects on Species (SPACES)
Presented by Dilkushi de Alwis Pitts, University of Cambridge
Abstract: To deal with escalating environmental shifts caused by climate change and other factors, ecologists are increasingly called upon to make risk assessment decisions about affected natural resources. As a result, there is a rapidly growing need for niche modeling of species projections to guide management decisions and activities related to intervention.
A number of software applications exist for carrying out fundamental niche modeling, but they present several problems for users, including distinct approaches to algorithms, data, and outputs, among others. The openModeller software was created to address these concerns by providing transparent, open-source tools under a common architecture.
SPACES builds on openModeller to manage for biologists the complication of running niche models, including data formatting and the complexities of the modeled systems. SPACES has endeavored to resolve the issues mentioned above by obtaining, handling, and storing the large quantities of data that niche models require, processing the data in a user-controlled way, and presenting the results in convenient formats. Through SPACES, extensive, quality spatial data are made available alongside species data and a variety of niche models that can be executed, analyzed, and compared—all through a common Web browser interface, designed to support a virtual scientific community and share the results of research.
If you have suggestions for future topics, we want to hear it! Please email us at firstname.lastname@example.org.