{"id":562,"date":"2026-08-21T15:09:38","date_gmt":"2026-08-21T13:09:38","guid":{"rendered":"https:\/\/ilonalipp.de\/?page_id=562"},"modified":"2026-08-21T17:05:54","modified_gmt":"2026-08-21T15:05:54","slug":"technical-skills","status":"publish","type":"page","link":"https:\/\/ilonalipp.de\/de\/technical-skills\/","title":{"rendered":"Technical skills"},"content":{"rendered":"
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Technical skills development<\/h2>\t\t\t\t<\/div>\n\t\t\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>

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 responsible 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 i 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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KI-Tools in der Forschung entdecken: Potenzial, Risiko, Verantwortung <\/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 KI ver\u00e4ndert gerade rasant, wie Forschung betrieben wird \u2013 von der Literaturrecherche und Datenanalyse bis hin zum Schreiben und Peer Review. In diesem Workshop bekommst du die M\u00f6glichkeit, dich strukturiert mit den praktischen Einsatzm\u00f6glichkeiten von KI-Tools auseinanderzusetzen \u2013 und mit den gr\u00f6\u00dferen Fragen, die sie in Bezug auf wissenschaftliche Integrit\u00e4t und Verantwortung aufwerfen.<\/p>

Im Workshop wirst du:<\/p>