The ICA Commission on Location Based Services, Commission on Geospatial Analysis and Modelling, and Working Group on Digital Transformation of National Mapping Agencies will jointly organize the pre-ICC 2023 Symposium on Location-Based Big Data and GeoAI (LocBigDataAI 2023).
The symposium will be held in hybrid mode, and will be associated with ICC 2023. It is a follow-up of the successful previous conferences of ICLSM 2015, LSMTD 2017, and LocBigData 2019.
Conference Topics
Acquisition, management, and analytics of location-based big data
- Crowdsourcing and Internet of Things
- Data management, cleaning, and integration
- Geovisual analytics
- Computational mobility and activity analysis
- Descriptive, diagnostic, predictive and prescriptive analytics
Geospatial artificial intelligence (GeoAI)
- Big data analytics and machine/deep learning
- Spatially explicit AI techniques
- Geography/GIScience-guided AI
- Explainable GeoAI
- Integration of data- and theory-driven approaches
Applications of location-based big data and GeoAI
- Human spatial behavior, activity, and mobility
- Place modelling and understanding
- Transportation and traffic
- Social network analysis
- Public health
- Smart and sustainable cities
Social and ethical issues of location-based big data and GeoAI
- Data quality and representativeness
- Bias of LocBigData and GeoAI
- Social inequality in cyber and physical space
- (Geo)privacy and ethical issues
- Governance of LocBigData and GeoAI
Call for papers (CFP as a PDF)
You are invited to submit work-in-progress or position papers with a length of 400-1200 words in PDF format at EasyChair. If accepted, at least one of the authors must attend (online or in-person) the symposium to present the work. Authors of selected submissions will be invited to submit full papers for considerations for publications in a journal special issue.
Important dates
- Short papers Due: April 15, 2023
- Acceptance notification: May 15, 2023
- Symposium: August 12, 2023
For more information visit the conference website: https://lbs.icaci.org/locbigdata2023/
