GI Education - GIScience 2023

GI Science education in an AI world: educating scientists and practitioners   

GI Science conferences tend to focus on research but teaching should not be ignored or disconnected. As technology and society evolve, datasets grow and the value of GIS across new and existing industries strengthens, opportunities for graduate students are increasing. To bridge these transformations we need to think of how to educate and what to teach so as to prepare students.

This workshop facilitates an open discussion on our purpose as GIS educators and helps to define a common direction for both the academic and non-academic sectors.

What GI theory and skills are we embedding in these students, what motivates our decisions on what is relevant, where do our students go to work after graduation? Will they become GI Scientists or entrepreneurs or GIS consults? Do our GI academic programs compete well with emerging data science and other related programs?

Hello, LLMs and other revolutionary AI !! What are the challenges and opportunities afforded by these breakthroughs? The discussion will focus on what we do now, post-COVID, and what to adopt in GIS education over the next 5 years.

By participating in this survey you consent to us using your responses. All responses will be anonymised.

By providing your name you consent to us contacting you.

Thank you for participating.

Michael Gould (Esri, U. Jaume I), Addy Pope (Esri UK), Justine Blanford (U. Twente), Damien Mansell (U. Exeter), Ana Basiri (U. Glasgow), Josef Strobl (U. Salzburg)

For questions contact: mgould@esri.com


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I will be attending the GIScience Edu Workshop 2023
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This next section contains questions related to GeoAI
What is geoAI? Tell us how you define geoAI.
How can we (geospatial professionals, experts, scientists) make a real contribution besides just becoming users of GeoAI?
What opportunities does AI offer the GI sector?
What concerns do we need to be aware of in the GI sector and in career paths?
Geospatial Skills - this section relates to geospatial skills
what key GI/Geo concepts or theory do you think students should gain during a study programme/students should have?
What skills should we be equipping students with? (list  key skills)
Geospatial Employment
Where are students working after graduation? (list 3 main industry or general areas - research, construction, data analyst, etc.)
Skill Development Needs
Do you need to upgrade your geospatial skills
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What skill(s) do you think you need to learn the most?
Does your employer provide you with training to upgrade your AI skills?
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Do you participate in the training opportunities provided by your employer?
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Challenges and Opportunities
What are some of the challenges you foresee in education future generation of geospatial students?
What are some of the opportunities you foresee in educating future generation of geospatial students?
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