NamicGreen

Science and Information Conference

My first scientific publication with Springer Nature is live!

Read the chapter: https://link.springer.com/chapter/10.1007/978-3-032-07989-3_26

AIJIM is an evidence-first model for journalism — transparent, explainable, and auditable.

In our 2024 Mallorca pilot, citizens submitted 1,000 geotagged images; the system identified 50 previously undocumented waste sites, reached 85.4% detection accuracy, ~90% validation agreement, and −40% reporting latency.

Grateful for the academic environment at UTS: University of Technology Sydney and the early support from IU Internationale Hochschule — and thanks to Springer Nature for publishing.

More updates and demos soon via TechJournal and NamicGreen.

Open to pilot collaborations with newsrooms, NGOs, public sector and research partners — DM welcome.

Big news from NamicGreen
Torsten has been accepted as a PhD Candidate at the University of Technology Sydney (UTS), Faculty of Engineering and IT – Data Science Institute

His research will advance:
– Explainable AI
– Trust in Generative AI
– LLM-based Agents

All building on AIJIM and the vision of NamicGreen.

From crisis detection → to evidence-driven, sustainable journalism.
From explainability → to human trust.
From experiments → to global standards.

This PhD is more than a degree – it’s the beginning of an ecosystem for explainable, resilient, and human-centered AI.