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SMC Lab / Augmenting Science Journalism

Shaping tomorrows Science Journalism. For you, for us.

Explore our tools, read our blog.

AI for tomorrows
journalists!

Data analysis:
thorough & relevant!

Exploring the
sciencescape!

Inside the SMC Lab, we’re not just observing science journalism; we’re actively shaping it. Serving as an essential segment of the Science Media Center Germany, we’re pioneering advancements in how scientific discoveries and understanding reach the public.

This blog is your front-row seat to our work, offering a firsthand look at innovative projects, profound research, and our commitment to aking science and news accessible for all.

But this is not all! We also focus on equipping journalists with the tools they need for tomorrow. We work at the intersection of data journalism, AI technology, and analytic tools to create a holistic approach in storytelling and information dissemination. And, best of all: you can use it for free & without attribution to us!

Maybe it’s rocket science – but rocket science can be really interesting. Let us break it down together, so you can use it for your stories!

  • From Project Classification to Information Extraction: Building the Full Pipeline 

    Building the End-to-End Pipeline  Now that the classifier and extractor modules are in place, the final step is to combine them into an end-to-end pipeline. For this, we use LangGraph, a framework designed to build modular, stateful LLM workflows and control their execution across multiple steps.  To implement the classifier and extractor module within the…

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  • How We Defined and Tested Our LLM Pipeline  

    What is Relevance?  The first challenge in building the pipeline was to define what qualifies as a relevant press release. The aim was to translate the implicit knowledge within the newsroom about which research projects may matter to the public into an explicit prompt that an LLM can apply consistently. However, before attempting this, we…

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  • From Press Releases to Research Projects: Why We Built an LLM Pipeline  

    Every day, various research institutions announce new projects: large collaborative ventures, small exploratory studies, interdisciplinary initiatives, or long-term projects with significant relevance for the society. For science journalism, these projects can offer valuable insights, such as early indicators of scientific trends, emerging research areas, or work that may become newsworthy months or even years later.…

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  • What Does Our RAG Pipeline Look Like?

    After experimenting with many different techniques, we combined the most promising ones (i.e., those that showed performance improvements through visual inspection of the plots compared to the baseline model) and created an advanced RAG pipeline that is now used internally at the Science Media Center Germany. First, we will explain the RAG system’s features. Then,…

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You might know our data reports. But how do we create those? Which data stories work great, which don´t? Which projects did we start, just to scrap them later on? Why wouldn´t they work? What would it take, to make them work?

Those questions and many more will be answered here. However, our curated data sets can be found on the Public Issues Data Guide.

To the next frontier!

Long term projects

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    Journalistic Information Extraction

    The European AI Fund exists to promote a diverse and resilient civil society ecosystem working on policy around AI. We were really encouraged to receive 143 applications from across the whole of Europe – a striking change from our 2021 Open Call which was dominated by responses from the UK, Germany and Belgium: We also…

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    Augmented Science Journalism

    How can the science journalism of the future be technologically strengthened? In the Research Project Augmented Science Journalism, innovative subprojects will be developed and worked on that address these and other challenges of science journalism:

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