Building Data Science Tools for Sustainable Transformation
summary
Argues that turning generative AI hype into durable tools means shipping concrete integrations and workflows not slogans: movingpandas is an OSG community library used for stop detection, vessel trip splitting, drone frameworks and migration studies; a QGIS plugin wraps movingpandas so non-coders run analytics and visualize speeds/stops; cloud UDFs for Snowflake and Google BigQuery let warehouses compute trajectories (Porto taxi demo); QGIS shows ~19 million monthly opens and EO plugin downloads exceed 2 million, so these integrations actually get used.
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chapters (8)
- 0:00Sustainable data science tools
- 3:23Movement data with MovingPandas
- 7:58Accessible tools in QGIS
- 14:26No-code cloud solutions
- 18:47AI in geospatial workflows
- 23:47Open-source communities
- 27:18Future of sustainable data science
- 28:20Q&A on WebAssembly and funding
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