I2SC at the ISI World Statistics Congress 2025

Every two years, statisticians of the world convene to exchange on the latest developments at the World Statistics Congress organised by the International Statistical Institute (ISI). This year, Till Koebe, postdoctoral researcher at I2SC, attended the conference in The Hague, Netherlands and presented work done as part of the master thesis of Nicolas Regel, Master student in Computer Science at Saarland University, on "Cost-Optimal Sampling in Augmented Surveys using Reinforcement Learning​":

Besides enjoying local cultural performances (see below) Till also met old colleagues, such as Florian Meinfelder from Bamberg University, and Ulrich Rendtel from Freie University Berlin (his second PhD supervisor) and PhD candidates from Bamberg and Berlin. He was also very delighted to meet Trevor Hastie, among others author of the seminal book "Elements of Statistical Learning", which was a big help for Till during his studies:


WSC, see you again in two years!

As promised, here a video of a Dutch Shanty choir singing traditional Dutch songs. At the end (unfortunately not in the video), they engaged the whole audience in a Karaoke version.





Popular posts from this blog

Job: Student Research Assistant (m/w/d) for AI & Misinformation detection

Image
Join Us in Fighting Misinformation! We are seeking a passionate and skilled Research Assistant to contribute to cutting-edge projects at the intersection of AI, digital literacy, and societal impact. Be part of a team dedicated to developing AI-powered tools to help young people combat misinformation. If you are interested, submit your CV and a brief cover letter detailing your relevant experience and interest in combating misinformation through AI to Katja Raak - kraak@cs.uni-saarland.de .
Read more

Blog: The Importance of Good Data in Satellite Imagery Analysis

Introduction The phrase "Garbage-In-Garbage-Out" is well-known in data science, but it takes on new meaning in real-world projects, especially those involving satellite imagery. In these contexts where ground truth labels are often sparse, preprocessing becomes not just a step, but a cornerstone of success. Reflecting on my project, I have realized that understanding and preparing data account for about 70% (if not more) of the work and determines the quality of the results. Data preprocessing ensures that the inputs to your model are clean, structured, and tailored to the problem at hand. This is true for all kinds of data, whether tabular data, text, or images. However, the proper preprocessing steps come from initially "looking" at the data. That means preprocessing is dependent on the data and the task at hand.   Understanding Satellite Images Satellite images are far more than just pictures; they encode a wealth of information about the spectral signature of a ...
Read more

Job: Student Research Assistants (m/w/d)

Image
The Interdisciplinary Institute for Societal Computing (I2SC) is looking to hire 1-2 student research assistants to work on interesting projects contributing to the Society. Interested applicants are kindly requested to email their complete application (short cover letter, CV, summary of academic achievements in one PDF-file) to Katja Raak - kraak@cs.uni-saarland.de
Read more