Do you help researchers using IT tools to further their research goals?
Are you involved in research computing and/or data science training?
Do you consult with researchers on more effectively doing their research with advanced computing resources?
Compute with data?
The Researcher-Facing Track of the People Network brings together people from research computing groups, libraries, research institutes, and other organizations who support researchers in every phase of the research lifecycle. Many of us are also Data- & Systems-Facing, but this track is a community-led opportunity to discuss the practices, perspectives, and experiences of facilitation from any perspective.
- Research computing facilitation
- Outreach to all disciplines, esp. those under-represented, to aid with research computing resources
- Education and training
- The art and practice of facilitation
- Increasing communications, collaborations, and team-building
- Research computing UX and user-facing tech
- And more, as determined by our members!
We connect via monthly calls and an email list. We also invite you to review and contribute to the Leading Practices of Facilitation!
The Researcher-Facing Track is supported by the team efforts of two Co-Coordinators and a Steering Committee. Send questions or comments, feedback, call topic ideas, etc., to the coordinators at email@example.com.
Join Us! Fill out our membership form to let us know who you are and what you’re interested in. We’ll add you to this email list and other Tracks that you indicate.
Monthly calls are on the second Thursday of the month, 1p ET/ 12p CT/ 11a MT/ 10a PT/ 8a HT. Connection information and links to any materials are distributed via the Researcher-Facing email list.
Title: Exploring the Frontiers of CyberGIS and Geospatial Data Science
Speakers: Shaowen Wang, Professor of Geography & Geographic Information Science (primary), Computer Science, and Urban & Regional Planning, University of Illinois Urbana-Champaign
Date: November 9th, 2023
Geospatial data science represents an emerging transdisciplinary field intersecting among three broad knowledge domains: geospatial science and technologies, mathematical and statistical sciences, and cyberinfrastructure and computational sciences. The core of this intersection encompasses the synergies and interactions between AI and cyberGIS (that is, geographic information science and systems (GIS) based on advanced cyberinfrastructure) with geospatial principles guiding discovery and innovation. This presentation explores the frontiers of cyberGIS and geospatial data science in the context of high-performance computing. Several fundamental research problems are addressed while a set of challenges and opportunities are identified for advancing data-intensive geospatial discovery and innovation.
Also, please take a moment to vote on these potential R-F call topics! Thanks for your input.
Steering Committee Members (alphabetically)
Gladys Karina Andino Bautista
We also wish to thank persons who have previously lead and contributed to the Researcher-Facing track:
Former Track Coordinators
- Dana Brunson (Internet2)
- Bob Freeman (Harvard University)
- Claire Mizumoto (U. California, San Diego)
Former Track Steering Committee Members
- Christina Koch (UW-Madison)
- Dirk Colbry (Michigan State University)
- Lauren Michael (UW-Madison)
- Amy Neeser (UC Berkeley)
- Janna Ore Nugent (Northwestern)
- Wirawan Purwanto (Old Dominion University)
- Erin Shaw (USC)