{"id":562,"date":"2026-08-21T15:09:38","date_gmt":"2026-08-21T13:09:38","guid":{"rendered":"https:\/\/ilonalipp.de\/?page_id=562"},"modified":"2026-08-24T09:24:39","modified_gmt":"2026-08-24T07:24:39","slug":"technical-skills","status":"publish","type":"page","link":"https:\/\/ilonalipp.de\/de\/technical-skills\/","title":{"rendered":"Technische Kompetenzen"},"content":{"rendered":"\t\t
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Research is becoming more technical than ever: AI-based tools are changing how we work, machine learning on large datasets is spreading into every field, and being able to write and understand code is a real advantage when it comes to keeping up with recent developments. These are all things I cover in my technical trainings, drawing on my own research background, which was highly data intensive, from developing complex analysis workflows for biomedical images to training neural networks.<\/p>

Coding
<\/em>In fields where findings are based on the collection and analysis of data, reliable preparation and processing of these data is essential. Scientific coding is needed for creating reproducible and transparent workflows that others can comprehend, verify and build upon.<\/p>

Generative AI in research<\/em>
The potential of using AI systems across the research cycle is enormous, but using these tools uncritically carries considerable risks. In my view, developing a sensible, critical and informed approach to AI tools is one of the most important professional development tasks of our time. Also legal frameworks around data privacy and intellectual property make training more urgent than ever.\u00a0<\/p>

Integrity<\/em>
Technical skill and research integrity belong together, because understanding how a method works is a prerequisite of using it responsibly in your work and being transparent and accountable. Finding the right balance between productivity boost and thorough research is a constant challenge for researchers.<\/p>

Training approach<\/em>
My technical workshops are hands-on: input on how things actually work, exercises to try them out, group reflection and discussions around insights and concerns, and time to apply them to your own problem. My workshops create a space in which people enjoy critically experimenting in a structured format.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Technical skills workshop examples<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Exploring AI Tools in Research: Potential, Risk, Responsibility <\/div><\/span>\n\t\t\t\t\t\t\t\n\t\t\t<\/path><\/svg><\/span>\n\t\t\t<\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t
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Generative AI is rapidly changing the way research is conducted\u2014from literature search and data analysis to writing and peer review. This workshop offers a structured opportunity to explore both the practical uses of AI tools and the broader questions they raise for scientific integrity and responsibility.<\/p>

During the workshop, you will:<\/p>