Deliverables
The AI4MultiGIS project is structured around key deliverables that drive research, development, and implementation of AI-enhanced geospatial solutions.
WP1: Project Management
- D1.1 – Project and Risk Management and Quality Plan Handbook.
- D1.2 – Project Periodic Progress Report and Risk Register.
- D1.3 – Data Management Handbook.
WP2: AI4MultiGIS Baseline
- D2.1 – A Review of MultiGIS Technology, Challenges, and Solutions.
- D2.2 – AI4MultiGIS Reference Architecture and Technical Specification.
- D2.3 – Responsible AI Framework.
- D2.4 – Pilot Case Study Specification.
WP3: Novel Customizable
- D3.1 – Intelligent Real-Time Data Pipeline.
- D3.2 – Synthetic MultiGIS Data Models.
- D3.3 – Outlier Detection for Reliable MultiGIS Data Processing.
- D3.4 – Blockchain & DLT-based Data Management System.
WP4: Integrated Data Handling
- D4.1 – Real-Time MultiGIS Spatiotemporal Computing Models.
- D4.2 – Geostatistical Cloud-Based AI Models.
- D4.3 – API and Middleware Development and Integration.
- D4.4 – GIS Plug-and-Play Integration and AI4MultiGIS Framework.
WP5: Pilot Case Study Development
- D5.1 – Implementation Strategy and Evaluation Plan
- D5.2 – Pilot Case Study Evaluation Report
- D5.3 – Responsible AI Policy
WP6: AI4MultiGIS Outreach
- D6.1 – Dissemination and Communication Plan
- D6.2 – Report on Dissemination, Communication, and Exploitation Activities
- D6.3 – Best Practice Guidelines for Wider Use of AI-Enabled GIS Applications