Interdisciplinary Workshop on Geospatial Computing

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Live Stream Day 2 (Begins Novemeber 21)

The workshop will take place 9am – 5pm, November 20 and 21, at The MUSEUM in Downtown Kitchener.

Geospatial computing is fundamental to a number of fields: engineering, environmental science, agriculture, sociology, economics, to name a few. The collection of geographically referenced data is increasingly facilitated through low-cost location sensors, satellite imagery, and new airborne technologies such as unmanned aerial vehicles. Concurrently, the computational tools for processing, analyzing, and visualizing spatial-data are growing in their number, scope, and user base. However, tools and applications of geospatial data are developed by many different communities both in academia and industry, and in many cases, there is a gap in knowledge transfer across communities. Communities may be defined by field (e.g. geomatics, geostatistics, remote sensing, machine learning, water resources, etc.), by software platform/language (e.g. R, Python, PostGIS, ArcGIS, other specific GIS platforms, etc.), or by region. This workshop aims to connect communities of geospatial developers, data scientists and consumers of analytical tools from industry and academia to interact, share knowledge and forge new partnerships.

The workshop is cross-disciplinary, pragmatic and will focus on cutting edge tools for geospatial computing emphasizing open-source frameworks. We will invite a variety of:

  • Demonstrations of geospatial computing applications which can showcase either open or commercial products including websites, toolboxes and software packages
  • Talks on applied research, highlighting the success of geospatial big data in fields such as those described above
  • Networking sessions with posters and booths where academics and industry representatives can meet to discuss future collaborations

Academics will have the opportunity to mobilize knowledge, gain exposure to cutting-edge software tools, and meet new industry partners for research collaboration and commercialization opportunities. Industry will have the opportunity to learn about applied research and tool development within academia, meet potential academic and other industry clients, and meet potential hires with skills in geospatial computing (e.g. grad students and post-docs). Regional governments and community groups are increasingly data-oriented as evidenced by the Smart Region initiative (Kitchener, City of Waterloo, Region of Waterloo, Cambridge and Guelph), the Ontario Open-Data policy, Communitech DATA.BASE, and the MaRS Data Catalyst. We will invite participants from these programs.

We look forward to seeing you in November.

Organizing Committee

Dr. Graham Taylor

Dr. Taylor is an Assistant Professor at the University of Guelph where he leads the Machine Learning Research Group.

Dr. Colin Robertson

Dr. Robertson is an Assistant Professor in Geography and Environmental Studies at Wilfrid Laurier University where he runs the Spatial Lab.

Dr. Robert Feick

Dr. Feick is an Associate Professor in the School of Planning at University of Waterloo with research interests in volunteered geographic information, smart cities, and spatial decision support systems.

 

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