AI-Powered Data Platform for Social Services
KIDaS connects people seeking help, caseworkers, and social service providers. Specialised AI agents collect offers, identify needs, and match the right services.
Core Features
Collect data automatically
AI agents will gather, update, and consolidate service data from public sources – fully automated.
Detect needs and gaps
Designed to analyse public data sources, identify trends and unmet needs, and suggest new social services.
Match precisely
Aims to bring people seeking help and suitable services together through a service configurator.
A consortium of science, practice, and value partners
Making social services visible and matching them precisely.
Germany spends around 49 billion euros per year on social and disability assistance, yet finding the right offer remains time-consuming. KIDaS aims to consolidate data, automate maintenance tasks, and strengthen coordination.
Data Platform
Structured exchange between funders, providers, and people seeking help.
AI Agents
Web crawler, service sonar, and matching powered by generative AI.
Responsible AI
Transparency, fairness, and value orientation: design principles from Kassel.
Innovation Engine
Incubator for social-tech solutions, scalable beyond pilot regions.
Six goals that drive the KIDaS platform
KIDaS combines data-driven service innovation with responsible AI and an open architecture – designed for impact far beyond the pilot regions.
Faster matching
Instead of months of manual research: caseworkers should be able to find suitable offers in minutes.
Transparency & Fairness
Responsible AI by design: every match is explainable and traceable.
Automatic maintenance
AI crawlers will update data continuously – no more outdated service listings.
Scalable architecture
Open, modular, transferable: applicable in health, education, and integration too.
Identifying needs
Service Sonar will identify unmet needs and suggest new services.
Developed in practice
e-Van tours bring the team directly to social institutions on site.
Match precisely. Identify needs early.
People seeking help should no longer wait months. Caseworkers should be relieved. Welfare organisations should identify needs based on data. KIDaS develops three interlocking AI components for this purpose.
- Automated collection of social offers via AI crawler
- Service Sonar: trends & service gaps from open data
- Matching with service configurator for people seeking help
- Responsible AI: transparency, fairness, acceptance
Responsible AI by Design.
KIDaS combines Action Design Research with Value-Sensitive Design. Technical innovation and ethical principles are given equal weight. Design principles for agentic AI are developed at the University of Kassel (Prof. Jan Marco Leimeister).
Requirements Analysis
Collect needs together with practice partners.
Platform & Crawler
Iteratively develop the AI crawler and data platform.
Service Sonar & Matching
Set up and validate the core services.
Opening Strategy
Establish scaling as an open ecosystem.
- 2026
Understanding what's needed
Direct exchange with social welfare agencies, service providers, and people seeking support: we analyze information and service gaps and review the state of research on generative AI and multi-agent systems.
- 2027
Building the technological foundation
We build an extensible, privacy-friendly data platform that connects existing systems, along with intelligent components for data management and a strategy for opening the ecosystem to further partners.
- 2028
Intelligent services for practice
Matching, AI data agents, and the Service Sonar are piloted together with local organizations, including as part of our e-Van Tour. The project concludes with a concept for sustainable operation beyond its end.
News
From the Project
Write Your Thesis with the KIDaS Project
Studying information systems or a related field? The KIDaS project at the University of Kassel is looking for students to write their bachelor's or master's thesis at the intersection of AI, social services, and multi-agent systems.
KIDaS Strategy Workshop on the Future of Digital Disability Support
On 1 June 2026, researchers, practitioners, and project partners came together for a full-day workshop to explore how digital technologies and AI can strengthen disability support services.
First Network Meeting of the Funding Programme 'Value in Data Ecosystems' in Stuttgart
On 12 May 2026, all twelve collaborative projects of the funding programme 'Value in Data Ecosystems' (DigiNutzenDat) met for the first time at Fraunhofer IAO in Stuttgart.