#SDSS2023 day 2 starts in a few minutes
https://www.airmeet.com/e/5b9bebf0-f574-11ed-ba17-6b737e1a0f4c
#SDSS2023 day 2 starts in a few minutes
https://www.airmeet.com/e/5b9bebf0-f574-11ed-ba17-6b737e1a0f4c
I'm excited to present at the Spatial Data Science Symposium coming up this week! I've written up the content of the presentation for anyone interested in learning more https://shriv.github.io/sdss-2023/
#sdss2023 #sdss #r #python #geospatial #datascience #nz #wellington #walkability
A quick reminder that the Fourth #SpatialDataScience Symposium will take place September 5-6, 2023.
The symposium is free to attend and will take place online and through distributed hubs across the globe.
The program includes paper presentations, an early career panel, thematic sessions, keynotes, and interviews.
While registration is free, there is limited space, so please register early.
Further details and registration at http://sdss2023.spatial-data-science.net/
September 5-6 | Distributed & Online. The symposium aims to bring together researchers from both academia and industry to discuss experiences, insights, methodologies, and applications, taking spatial and temporal knowledge into account while addressing their domain-specific problems.
6 days left to submit your short or vision papers to the Fourth Spatial Data Science Symposium. #sdss2023 #giscience #datascience #spatial #geospatial #geoai #gischat
September 5-6 | Distributed & Online. The symposium aims to bring together researchers from both academia and industry to discuss experiences, insights, methodologies, and applications, taking spatial and temporal knowledge into account while addressing their domain-specific problems.
September 5-6 | Distributed & Online. The symposium aims to bring together researchers from both academia and industry to discuss experiences, insights, methodologies, and applications, taking spatial and temporal knowledge into account while addressing their domain-specific problems.
September 5-6 | Distributed & Online. The symposium aims to bring together researchers from both academia and industry to discuss experiences, insights, methodologies, and applications, taking spatial and temporal knowledge into account while addressing their domain-specific problems.