DMI's ASIP — AI-Generated Sea-Ice Charts Quadruple Coverage of Greenland's Coastal Waters
Greenland
DMI's ASIP uses a convolutional neural network fusing Sentinel-1 radar and AMSR2 microwave data to generate Greenland coastal sea-ice charts, …
Algeria · Algiers · See the Algeria profile · See the Algiers profile
Evidence: Descriptive / self-reported Top 32% 67/100 · Ask Evidence Copilot about this practice
Algeria's Ministry of Higher Education used an AI matching platform nationwide for the first time in 2025, placing 97.34% of 340,901 baccalaureate holders and giving 70.3% a top-three choice; a 2026 update adds a 24/7 LLM assistant, but the algorithm's logic remains undisclosed.
Algeria's Ministry of Higher Education and Scientific Research (MESRS) launched a digital, AI-assisted orientation platform on 30 April 2024, under Minister Kamel Baddari, for the 2024-2025 intake.
To match new baccalaureate holders to university programmes by analysing each candidate's academic results and stated preferences (vœux) against institutional capacity, described by the ministry as using 'AI techniques and data analysis' in the placement decision for the first time at national scale.
For the 2026 intake, the ministry expanded the system: the number of preference choices rose from 10 to 12, and a large language model (LLM) assistant was integrated into the platform to answer student questions 24/7; a digital ministerial circular formalising the update was published on 9 July 2026.
For the 2025 cohort, of 340,901 registered candidates, 331,827 (97.34%) were oriented to a university place within the allotted timeframe, with a further 9,074 candidates granted an extended deadline to 8 August. Minister Baddari reported that 70.30% of newly oriented students were placed in one of their top three choices, and that 65.30% chose science and technology fields.
The scale and consistency of the reported figures is corroborated across ministry circulars and Algeria's state and independent press over three consecutive intakes (2024, 2025, 2026), but the matching algorithm's exact weighting logic, any independent audit of placement outcomes, and a formal appeals mechanism remain undisclosed, as does any data-protection framework for the system.
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Greenland
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