GeoIndustry 2022: The 1st ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications Seattle Marriott Waterfront Seattle, WA, United States, November 1, 2022 |
Conference website | https://liyanplus.github.io/geoindustry_2022.github.io/ |
Submission link | https://easychair.org/conferences/?conf=geoindustry22 |
Submission deadline | August 31, 2022 |
Notification deadline | September 14, 2022 |
With the rapid revolution and increasing availability of geospatial data, not only academia but also industry aspire for solutions to further leverage big data and AI technologies to create new products, improve efficiencies and provide novel solutions to existing problems. However, despite the widespread interest, there is a lack of communication between researchers in academia and industry, limiting advancements at the intersection. Academia often has limited access to the rich and potentially useful big geospatial datasets and related real problems. In addition, the solutions proposed by the academic researchers alone are usually developed at small scale with many assumptions, leaving a less-attended gap between methods and their applicability at scale for industrial applications. On the other hand, industry has the data and problems at scale. However, since existing research is often not on par, industry researchers may lean towards traditional approaches (e.g., methods with assumptions violated by spatial data), and project teams have limited time and efforts to dive deep on the development high-risk-high-potential techniques. This opens opportunities for synergistic collaboration between industrial practitioners and academic researchers.
The 1st ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications (GeoIndustry 2022) is to offer a forum to exchange thoughts and ideas between industry and academia and reduce siloed efforts. The collaborations, via invited and regular talks, can not only accelerate the research-to-impact cycle, but also foster workforce development for future geospatial researchers. Interested participants should submit a paper in the ACM format. The length will be 8-10 pages. The topics include but are not limited to (in the context of industrial or related problems, such as delivery, routing, recommendation, mapping, resource allocation, and more):
● Applications of AI
● Applications of big data systems
● Problems and benchmark datasets
● Machine learning and deep learning
● Computer vision and Earth observation
● Generative models and simulation
● Map generation
● Heterogeneous data
● Small data learning
● Citizen science and data collection
● Spatial query processing
● Spatial data management and integration
● Perspectives
● Emerging topics and trends
Important dates Submission deadline: August 31, 2022 Notification deadline: September 14, 2022 Workshop date: November 2, 2022
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