Australia · Canberra · See the Australia profile · See the Canberra profile
Evidence: Descriptive / self-reported Top 66% 53/100 · Ask Evidence Copilot about this practice
Geoscience Australia is rolling out a natural-language AI assistant inside the Digital Atlas, which launched in 2024, holds 330+ curated national datasets from ~15 agencies, and reached 59,000 users by mid-2024 — though the AI layer itself is still pre-launch and unevaluated.
Geoscience Australia operates the Digital Atlas of Australia, a national geospatial platform consolidating trusted government datasets on geography, people, the economy and the environment into a single, publicly accessible map interface. The platform moved from a June 2023 beta to an official launch in May 2024, opened by the responsible minister.
On top of this base, Geoscience Australia is preparing to add an AI assistant that lets users type plain-language questions — the publicised example is “show me all the transport infrastructure within 50 kilometres of lithium deposits” — and have the system find, combine and visualise the relevant layers automatically, without requiring GIS expertise.
By 31 August 2024 the Atlas held more than 170 datasets and had drawn about 59,000 unique users; by 2026 its catalogue had grown past 330 curated datasets sourced from roughly 15 government agencies, and the platform received an Esri Special Achievement in GIS award in 2025.
As of the most recent reporting, the AI assistant itself is described as “preparing to roll out” rather than generally available, and no independent accuracy, adoption or user-satisfaction figures for the AI feature have been published. The evidence base therefore rests on the underlying platform's demonstrated reach and dataset growth, not on a completed evaluation of the AI assistant, which should be treated as an early-stage capability to watch rather than a proven result.
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
Do you run this practice? Claim it — verified implementers get a public contact pathway and can propose corrections.
Where this practice's information was retrieved from, and when.
Singapore
Singapore's National Environment Agency runs a peer-reviewed machine-learning system that forecasts dengue cases up to three months ahead. In the …
Sierra Leone
Statistics Sierra Leone and the GRID3 partnership use machine-learning building-footprint detection on satellite imagery to map population at 1-hectare resolution, …
Bangladesh
Bangladesh's a2i, GiveDirectly, UNDP and UC Berkeley piloted ML poverty-targeting from call-detail records across 106,200 Cox's Bazar households, but a …
Algeria
Algeria's Ministry of Higher Education used an AI matching platform nationwide for the first time in 2025, placing 97.34% of …
Open full copilot Grounded in cited practices — always check the sources.