Ina Schieferdecker

@ischieferdecker
10 Followers
16 Following
34 Posts
By education I am a mathematical computer scientist and went into research right after graduation. Over time, I took on additional non-profit positions, founded deep-tech companies and joined the federal ministry of research. My research interests evolved and include digitalisation & sustainability transformation, software-based innovation, technological sovereignty & innovation, ICT for smart cities, urban data platforms & open data, anquality engineering of open distributed systems.
https://ischieferdecker.bplaced.net/
https://www.linkedin.com/in/ina-schieferdecker-7850841/

To kick things off, we are focusing on attracting more women and FLINTA individuals to the GI community. You can find out exactly how we are approaching this over at https://gi.de/meldung/hier-fehlt-was!

I’m looking forward to fresh ideas, new faces, and—to be honest—significantly fewer panels that look like our campaign motif... 😉

#GermanInformaticsSociety #Informatics #DiversityInTech #WomenInTech #FLINTA #HierFehltWas #DigitalTransformation #InclusiveTech #Leadership

For 2026, we have set ourselves a clear mission: to integrate a wider range of perspectives into every area of our work.

This is exactly where our #HierFehltWas (“Something is missing here”) campaign comes in. We are actively looking for the gaps in our network and making a conscious effort to fill them.
👉 Which brilliant minds are we still missing?
👉 Whose perspective would enrich our discussions and initiatives?

Shaping the Future of Informatics – Together and Diverse

Informatics shapes our world—so it should reflect the entire world 🌍💻

I am thrilled to have been a member of the board of the German Informatics Society (GI) since January. Working alongside a fantastic, balanced team—@martin Wolf, @Katharina Weitz, @Nadine Bergner, @wolfgang Glock, and @friedrich Steimann—we are committed to representing the full spectrum of computer science and ICT.

But diversity shouldn’t stop at the boardroom door

Informatics is Not a Craft – It is the Infrastructure of Our Future

Would you trust a bridge built of matchsticks to carry heavy traffic, just because the model looks perfect on a desk? 🌉🏗️

Probably not. We understand that a scale model is a craft, but a real bridge requires structural engineering, physics, and rigorous standards.

Yet, when it comes to the digital world—the very infrastructure of our modern society—we often see a dangerous trend.

Wishing everyone a great Software Engineering 2026 in Bern! As much as I’d love to discuss this in Bern, I won't be able to attend: Software engineering is a mission-critical skill that is still overlooked in many uniformed sectors. We need to stop confusing 'being able to use IT' with 'professional software engineering.'

💭 A baker’s gingerbread house is art; a real house requires an engineer. Let's apply that same logic to our software systems. 🏘️ 💻️

👉️ https://bit.ly/SE2026_Bern

Fragt Ihr Euch das ebenso? Ist „Vibecoding” nur eine historische Verirrung oder der Anfang vom Ende des klassischen Software Engineerings und der Beginn einer neuen Generation KI-gestützter, aber nicht blindgläubiger Software-Engineering-Methoden?

👉️ Hier der Link zum Podcast https://www.richard-seidl.com/de/blog/nextgen-software-engineering

#SoftwareEngineering #AI #Vibecoding #QualityEngineering #SoftwareTesting

In der Folge diskutieren wir unter anderem die folgenden Fragen :
💡 Wie verändern KI und Low Code das Software Engineering?
🎓 Was bedeutet das für die Ausbildung der nächsten Generation?
🛠️ Welche Kompetenzen brauchen wir, um nicht in der „Vibecoding-Falle“ festzustecken?

Denn Softwarequalität ist kein Luxus, sondern das Fundament für zuverlässige und nachhaltige Innovationen.

„Ich bin kein Fan von Vibecoding. Ich glaube, wir holen uns da ein großes Problem über die Hintertür rein...“

👉️ Diesen Satz habe ich im Gespräch mit @richard Seidl in seinem Software Software-Testing-Podcast zu den Software-QS-Tagen 2025 gesagt. Warum? Weil die Vielfalt und Geschwindigkeit von KI-Tools zwar verführerisch sind, schlechter Code aber auf lange Sicht extrem teuer wird.

Wird 2026 das Jahr des Software-Kollapses? 📉
Die Zahlen sind alarmierend:
💥 61 Milliarden Dollar technische Schulden durch KI-Code.
💥 72 % Fehlerrate bei KI-generiertem Java-Code.
Das Versprechen war: Effizienz durch KI. Die Realität: „Slop-Code“, den niemand mehr warten kann, eine Erosion von Fachwissen.
Softwareentwicklung ist keine reine Textproduktion. Echte Qualität entsteht durch Architektur, Logik und Tests. KI ist nur der Copilot.
Was meint Ihr? https://www.youtube.com/watch?v=WfjGZCuxl-U

It is so good to see that #IEEE CS TCSE - the IEEE Computer Society's Technical Community on Software Engineering - continues to fund to support Diversity and Inclusion (D&I) initiatives that benefit the Software Engineering community.

👉 The programme welcomes applications from all regions and is particularly interested in proposals from outside North America and Europe: https://docs.google.com/forms/d/e/1FAIpQLSdB63hEGhQ5j-XWnbHMbk1gTHSnlFb1Z-SwwPOpVyRLNWTGrQ/viewform

😎 Examples of previously supported activities can be found here: https://www.computer.org/publications/tech-news/insider/tcse-supports-software-engineering-in-belize.