Gateways 2017

This hands-on, 90-minute tutorial explains and demonstrates how to use Globus to add data transfer features to your Web applications and science gateways.Globus is a free service operated by the University of Chicago and is the basis for the XSEDE system’s data transfer services. Participants will learn about Globus’s data transfer service; why it is an easier, more powerful, and more reliable solution than alternatives; how to use it in their own applications and gateway; and how to configure it for specific use cases. During the tutorial, participants will add data transfer features to a running Web application developed in Python.

Experience: Appropriate for all levels

Prerequisites: Participants are expected to be familiar with logging into a Linux shell via SSH and able to use a Linux text editor (e.g., vi/vim, emacs, nano). Familiarity with Python would be helpful but is not required for success in the tutorial.

What to bring: Participants must bring their own WiFi-enabled device with Web browser and SSH client installed. (Linux and Macintosh systems do not require any additional software. Windows and ChromeOS systems must have an SSH client application installed.) A physical keyboard is strongly recommended. The hands-on exercises will use remotely hosted virtual machines provided by the presenters and accessible via SSH and Web browser.

This hands-on tutorial will explain how to use Globus Auth to manage user identities and user accounts in Web applications and science gateways. Globus Auth [1] is a free service operated by the University of Chicago and is the basis for the XSEDE system’s user authentication and federated identity platform. Participants will learn about Globus Auth’s authentication service; why it is an easier, more user-friendly, and more secure solution than alternatives; how to use it in their own applications and gateways; and how to configure it for specific use cases. During the tutorial, participants will add Globus Auth to a running Web application
developed in Python.

Experience: Appropriate for all levels
Prerequisites: Participants are expected to be familiar with logging into a Linux shell via SSH and able to use a Linux text editor (e.g., vi/vim, emacs, nano). Familiarity with Python would be helpful but is not required for success in the tutorial.
What to bring: Participants must bring their own WiFi-enabled device with Web browser and SSH client installed. (Linux and Macintosh systems do not require any additional software. Windows and ChromeOS systems must have an SSH client application installed.) A physical keyboard is strongly recommended. The hands-on exercises will use remotely hosted virtual machines provided by the presenters and accessible via SSH and Web browser.

Models play a critical role in synthesising our understanding of the natural world and making forward projections into novel conditions. While they are central to ecological forecasting, models remain inaccessible to most ecologists, in large part due to the informatics challenges of managing the flows of information in and out of such models. The Biodiversity and Climate Change Virtual Laboratory (BCCVL) is a “one stop modelling shop” that simplifies the process of biodiversity and climate impact modelling. It uses national computational infrastructure to provide access to global biodiversity, climate and environmental data integrated with a suite of tools in a coherent online environment. In this tutorial, we will introduce participants to the basics of species distribution modelling and climate change projections and teach how to use the BCCVL to run these models.

Requirements: beginner skill level, no prerequisites, and there are no software requirements necessary. We only advise participants to bring their own laptop and use a browser other than Internet Explorer (e.g. Chrome, Safari, Firefox)