The SDG-HUB project (www.sdghub.at) will advance the state of the art and develop AI-based approaches to build a comprehensive knowledge repository, aiming to address the socio-ecological challenges of reaching the Sustainable Development Goals (SDGs) of the Agenda 2030 and the climate mitigation goals of the Paris Agreement in particular.
1 SDG-HUB: AI-Driven Semantic Search and Visualization to
Support the Sustainable Development Goals & Agenda 2030
webLyzard technology, University of Innsbruck, Modul Technology, ZAMG
AI 4 Green (FFG/BMK) ▪ Project No 892212 ▪ 05/2022 - 04/2025
Contact: Prof DDr Arno Scharl, [email protected]
Insights & Impact
O1: Create an Austrian SDG Knowledge Graph - Austrian SDG Knowledge Graph;
word sense disambiguation and slot filling; semantic drift detection.
O2: Detect & Visualise Bias in SDG-Related Communication - Explainable bias
detection & classification module (gender, politics, perception).
O3: Improve Transdisciplinary Science-Society Dialogues - AI-driven story & key actor
detection; multi-channel impact metrics for science communication.
O4: Provide Visual Means to Track Agenda 2030 & Paris Agreement Progress
Interactive SDG Map, connected to live content feeds; visual analytics dashboard
with integrated sense tree; benchmark visualisation.
O5: Promote SDG-HUB as an Austrian Flagship Project - Stakeholder Advisory Board
guiding SDG-HUB development; visibility in news media & professional communities.
SDG-HUB Project Overview
Work Package Structure
WP1: Project Management (WLT)
WP2: Semantic Data Integration and Cross-Linking (MOD)
WP3: SDG Disambiguation and Mapping (MOD)
WP4: Explainable Bias Detection (WLT)
WP5: Data-Driven Sustainability Communication (ZAMG)
WP6: Agenda 2030 - Fostering the Achievement of the
Sustainable Development Goals (UIBK)
WP7: Dissemination and Exploitation Planning (WLT)