SDG-HUB: AI-Driven Semantic Search & Visualization to Support the Sustainable Development Goals and the Agenda 2030

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.

Transcript

1. 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, scharl@weblyzard.com
3. 5 Project Objectives 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.
4. 6 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)