Climate Fact-Checking Research & Development Collaboration

Building a collaborative research community to advance AI-powered climate fact-checking through interdisciplinary partnerships and open science.

Climate Fact-Checking Research & Development Collaboration

CLIMATE+TECH is an AI Think-Tank bridging the gap between research and local stakeholders in climate change adaptation, democratizing knowledge using AI technology. It stays up-to-date with research and has a focus on Climate.

Our Mission

CLIMATE+TECH is democratizing climate knowledge through AI technology, creating tools that:

  • Verify Climate Claims: Check statements about climate change against trustworthy sources like IPCC reports
  • Detect Greenwashing: Identify and verify green claims and potential misleading greenwashing
  • Combat Disinformation: Provide journalistic fact checks for political disinformation

Core Research Team

Interdisciplinary expertise from academia and industry

MARKUS LEIPPOLD

UZH Professor, Academic Advisory Lead - Academic Research

CHRISTIAN WÖRLE

C+T Managing Partner, Architecture

MARTIN BURGHART

C+T Researcher, AI Engineers - AI Engineering

MARC BERSZICK

C+T Advisor, AI Expert - AI Advisory

VERA SCHMITT

XplAINLP Group Lead TU Berlin

JASON TSZANG

C+T Researcher

TORSTEN SEWING

Academic Advisor - Domain Expert

Research Team & Collaborators

Our interdisciplinary team brings together expertise from academia and industry.

The Open Source Toolkit

Our Open Source Multi-Purpose toolkit serves researchers, developers, and the broader community:

🔬 For Researchers

  • Benchmarking platform for new fact-checking algorithms
  • Standardized datasets for evaluation and comparison
  • Collaborative research environment with academic institutions

🛠️ For Developers

  • Development tools for building fact-checking applications
  • Configurable architecture for different use cases
  • Integration capabilities with existing systems

🌍 For the Community

  • Open source approach ensuring transparency and accessibility
  • Community-driven development with stakeholder input
  • Real-world applications serving diverse needs

Use Cases & Applications

Use CaseDescriptionTarget UsersKey Features
Climate Claims VerificationAutomated verification of climate-related statements against authoritative sources like IPCC reports, ensuring accuracy in climate communications.Researchers, Scientists, Policy MakersIPCC integration, Source validation, Accuracy scoring
Greenwashing DetectionAdvanced algorithms to identify and analyze potentially misleading environmental claims, helping combat corporate greenwashing.Investors, Consumers, NGOsCorporate claim analysis, Misleading pattern detection, Transparency scoring
Political DisinformationProviding journalistic fact checks for political disinformation, expanding beyond climate to general misinformation.Journalists, Media Organizations, CitizensReal-time fact checking, Political statement analysis, Bias detection
Media AnalysisTools for journalists and media organizations to fact-check climate-related content efficiently and accurately.News Organizations, Content Creators, PublishersBulk content analysis, Editorial workflows, Citation verification

Technical Approach

Our toolkit implements the Advocate Mediator Pattern against climate feedback datasets, using what we call the “Climinator pattern” for robust fact verification. The architecture is:

  • Configurable and modular for different applications
  • Scalable for various deployment scenarios
  • Explainable to ensure transparency in fact-checking decisions
  • Community-extensible for continuous improvement

Research Collaboration

We collaborate with leading academic institutions including:

  • University of Zurich (UZH) - Led by Professor Markus Leippold
  • ETH Zurich - Technical research partnerships
  • Industry partners - Real-world implementation and testing

Next Steps & Development Roadmap

Our ongoing development focuses on:

External Knowledge Integration

Like Wikipedia knowledge bases and other authoritative sources to expand our verification capabilities.

Large Fine-tuned Dataset Development

Building comprehensive benchmarking datasets for standardized evaluation of fact-checking systems.

Knowledge Graph Integration

Connecting current research and developing sophisticated knowledge representation systems.

Real World Applications

Deploying expert fact checkers in production environments for practical impact.

Community & Funding

Securing funding for core contributors and building a sustainable open source community.

Community Contributions

We’re looking for diverse contributions:

  • Use cases and feedback from practitioners
  • Datasets for training and evaluation
  • Technical contributions to the open source codebase
  • Research collaboration with academic institutions
  • Stakeholder engagement for real-world validation

Get Involved

Whether you’re a researcher, developer, journalist, or climate advocate, there’s a place for you in our community. Help us build the future of climate fact-checking!

Contact Information:

Ready to contribute? Contact us and let us know how you’d like to help democratize climate knowledge through AI.

02/2024: Literature Review

Partnerships and first configurable architecture

03/2024: Partnership with UZH / ETH

Collaboration with Markus Leippold and other researchers

06/2024: Implementation of Advocate Mediator Pattern

Against climate feedback dataset (Climinator pattern)

11/2024: Launch and Growing Community

Community readiness with use cases for media analysis and community notes

02/2025: Open Source - Architecture Improvement

More data sources, datasets, and web frontend development

Q2 2025: External Knowledge Integration

Wikipedia knowledge bases and authoritative sources integration

Q3 2025: Large Fine-tuned Dataset Development

Comprehensive benchmarking datasets for standardized evaluation

Q4 2025: Knowledge Graph Integration

Connecting current research and developing sophisticated knowledge representation

2026: Real World Applications

Deploying expert fact checkers in production environments

Ongoing: Community & Funding

Securing funding for core contributors and building sustainable open source community

Research Team & Collaborators

Collaboration with Leading Research Institutions

University of Zurich (UZH) - Prof. Markus Leippold
University of Zurich (UZH) - Prof. Markus Leippold
Technical University of Berlin (TU Berlin)
Technical University of Berlin (TU Berlin)
German Research Center for Artificial Intelligence (DFKI)
German Research Center for Artificial Intelligence (DFKI)
Leuphana University
Leuphana University
sureal.ai Lab
sureal.ai Lab

Related Research

View all posts »

Fact Checking Climate Claims with Open Source Models

Climate+Tech FactChecker takes a major step toward democratizing climate fact-checking by integrating Ollama, enabling deployment of powerful open source language models for transparent and customizable verification of climate claims.

We are open to all sorts of contributions. In particular, we seek use-cases, feedback, and datasets, and are grateful for any exchange with stakeholders.

Join Us!

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