i6eal.de
DEEN
Start a project
← Back to the registerPublic-sector AI use

R package for Statistical Investigation of the Impact of External Conditions on Air Quality

ubair is an R package for Statistical Investigation of the Impact of External Conditions on Air Quality: it uses the statistical software R to analyze and visualize the impact of external factors, such as traffic restrictions, hazards, and political measures, on air quality. It aims to provide experts with a transparent comparison of modeling approaches and to support data-driven evaluations for policy advisory purposes.

Source checked 17 Oct 2026, 10:35Original MaKI source ↗Data schema ki-verwaltungsradar.internal.v1
MaKI identifierBD20248764926AuthorityUmweltbundesamtStatusOperationalOpen original profile ↗
Evidence-backed dossier

R package for Statistical Investigation of the Impact of External Conditions on Air Quality

ubair is an R package for Statistical Investigation of the Impact of External Conditions on Air Quality: it uses the statistical software R to analyze and visualize the impact of external factors, such as traffic restrictions, hazards, and political measures, on air quality. It aims to provide experts with a transparent comparison of modeling approaches and to support data-driven evaluations for policy advisory purposes.

Operational
Open original profile ↗Open project website ↗
Authority
Umweltbundesamt
Administrative level
Federal
Ministry
Bundesministerium für Umwelt, Klimaschutz, Naturschutz und nukleare Sicherheit
Risk classification
Minimal riskSelf-reported in the MaKI profile, not an i6eal assessment
AI method
Deep Learning · Machine Learning · Statistische Modellierung
Application area
Energie und Umwelt · Forschung · Nachhaltigkeit
Governance matrix

Published, planned or open

The matrix separates published information, planned reviews, non-required information and unknown fields. It deliberately has no composite score.

Risk classificationMinimales Risiko
Fundamental-rights reviewNicht erforderlich
Data-protection statementNicht erforderlich
Contractor useIntern
Intervention optionsNicht erforderlich
Project linkHttps://Gitlab.Opencode.De/Uba Ki Lab/Ubair
Published context

Affected groups and risk measures

Affected groups
Wurde nicht betrachtet
Risk measures
Nicht erforderlich
Described harm risks
Nicht erforderlich
Timeline

Project and publication dates

These dates come from the current MaKI profile. They are not i6eal observation history.

  1. Project start
  2. First published
  3. Last published
MaKI identifierBD20248764926
Evidence basispublished authority profile
Source state14 Jul 2026, 08:37
Observed by i6eal

Observation history

This profile has been observed since 19 Jul 2026. Source-reported project and publication dates remain separate.

First observed
Last observed

From the start of observation on 19 Jul 2026 to the last complete source state on 17 Oct 2026, we observed no change to this profile.

Related tools

Useful next steps

These tools cover related ground.

View all tools
IndexAI Procurement & Supplier IndexWhich AI contracts does the public sector award, who wins, and which technology dependencies are explicitly disclosed? Procurement updates daily from TED and oeffentlichevergabe.de; suppliers use exact source IDs only.Provenance checkPublic-sector AI system passportSee which public records can be linked to each published government AI system through stable identifiers or exact source-declared repository URLs—with a source for every edge and visible evidence boundaries.Data reportGerman state AI evidence monitorCompare three separate public evidence lanes across all 16 German states: exactly assigned AI system profiles, AI-related procurement and physical infrastructure—without a composite score or invented ranking.