About
With the rapid revolution and increasing availability of geospatial data, not only academia but also industry aspire for solutions to further leverage the 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 the 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 for 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 using the traditional approaches that are developed without spatial consideration (e.g., ignoring spatial and temporal dependencies), and project teams have limited time and efforts to dive deep on the development of novel techniques that can be high-risk but high-potential. This opens up 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 the siloed efforts. At the same time, 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.
Organization Committee
Program Chairs
| Emre Eftelioglu (Amazon) |
| Heba Aly (Amazon) |
| Yiqun Xie (University of Maryland) |
| Jia Yu (Washington State University, Apache Software Foundation) |
Program Committee
| Ravi Garg (Amazon) | Xiaowei Jia (University of Pittsburgh) |
| Zhe Jiang (University of Florida) | Xun Tang (Meta) |
Webmasters
| Yan Li (Amazon) |
Schedule
Tuesday, November 1, 2022 - Seattle, Washington, USA
| Pacific time | Title |
|---|---|
| 09:00 - 09:10 | Opening Remarks |
| 09:10 - 10:10 | Valuing Personal Location Data (Keynote Talk) Dr. John Krumm (Microsoft Research) Abstract: The whereabouts of regular people from their everyday lives is valuable, both to the people themselves and to organizations that want to learn more about them. And yet the precise value of this data is difficult to pinpoint, both in the minds of the data subjects and the accounting of the data collectors. From the subject’s point of view, is differential privacy the answer? What would motivate a subject to release their data? What if they want to release just a vague idea of their location? From the data collector’s point of view, how can they put a price on location data and decide which data to buy? How do they know when they have enough? This talk will explore these questions, highlighting some of our lab’s research toward clarifying how to protect and value everyday location data. |
| 10:10 - 10:30 | BinoML: Supervised Ranking for Automatic Building Labeling Puyang Ma, Ravi Garg, Mohamed Moustafa |
| 10:30 - 10:50 | Coffee Break |
| 10:50 - 11:10 | Toward a crowdsourcing solution to estimate border crossing times using market-available connected vehicle data Ehsan Jalilifar, Xiao Li, Michael Martin, Xiao Huang |
| 11:10 - 11:30 | A Study on Singapore’s Vegetation Cover and Land Use Change Using Remote Sensing Yun Si Goh, Jing Wen Leong, Seanglidet Yean, Bu-Sung Lee, Kang Min Ngo, Peter Edwards |
| 11:30 - 11:50 | Break |
| 11:50 - 12:50 | Geospatial research questions - simple observations and solutions (Keynote Talk) Dr. Dieter Pfoser (George Mason University) Abstract: Why is spatial special? One answer could be that interesting geospatial research is guided by our experiences in the physical world. This talk will look at three cases from my personal research trajectory that were triggered by interesting observations and hopefully resulted in meaningful insights. The first case relates to the emergence of GPS devices and how this technology allowed us to record activities. We will discuss research for extracting knowledge from collected spatiotemporal data, e.g., map construction algorithms, as well as open problems. The second case looks at crowdsourcing and engaging internet users in (geospatial) data generation. Crowdsourcing had a profound impact on the geospatial world and we will look at geocoded image data and what it can tell us about places. The third case relates to scenarios in which a lot of data is actually not enough and how modeling and simulation can be used as a complement. The talk concludes with discussing important research challenges in data-poor scenarios, such as data privacy & crowdsourcing and indoor environments. |
| 12:50 - 13:00 | Closing Remarks |
Location
2100 Alaskan Way. Seattle, WA
Call For Papers (PDF version)
The workshop seeks high-quality regular (8-10 pages) and short (4 pages) papers that have not been published in other academic outlets and are not concurrently under peer review. Interested participants should submit a paper in the ACM format. Once accepted, at least one author is required to register for the workshop and the ACM SIGSPATIAL conference, as well as attend the workshop to present the accepted work which will then appear in the ACM Digital Library.
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
September 16, 2022 (anywhere on earth, extended)
Author notification
September 28, 2022 (anywhere on earth)
Camera-ready Due
October 10, 2022 (anywhere on earth)
Workshop date
November 1, 2022