Section 1: Foundations of Geoinformatics 1. The New Era in Geoinformatics 2. Geoinformatics and spatial practice via new technologies 3. Big Earth data in practice 4. Fundamental of Crowdsourced technologies 5. Crowdsourced data contribution towards geospatial matureness Section 2: Artificial Intelligence in spatial practice 6. AI in spatial object recognition 7. Geocomputation and geospatial artificial intelligence 8.

Deep Learning-based flood recognition 9. UAV Imagery and Deep Learning 10. Earth observation data and AI 11. Neural Network techniques for spatial forecasting 12. AI, ANN in landslides modelling Section 3: Big Earth Data in Geoinformatics 13. Imagery big data for mapping 14. Big earth observation data (Professor Xiao Huang) 15. Big Meteorological observation data towards making environmental indices 16.

Lidar point cloud available techniques 17. Predicting changes via big earth observation data 18. Big data for Analysis Ready Data (ARD) 19. Using online platforms for handling big observation data 20. Big Earth data and FOSS4G 21. Sensors big data Section 4: Crowdsourced technologies in the new Geoinformatics era 22. VGI and crowdsourcing in geographic practice 23. Innovative Crowd Science 24.

Policy aspects of environmental information, crowdsourced geographic information, and citizen science 25. Volunteered Geographic Information (VGI) quality assessment 26. Volunteered Geographic Information (VGI) and Crowdsourced practices of spatial data in geographic research 27. Public Good Provision and online communities 28. VGI in environmental management 29. Spatial bias in VGI 30. Crowdsourcing, citizen science or volunteered geographic information 31. Conclusions.