Scientific AI expertise instead of expensive consulting promises
Current events
The IDA Lab Salzburg (Lab for Intelligent Data Analytics), funded by the state of Salzburg as part of WISS 2025, is a competence centre for basic and applied research, as well as for knowledge and technology transfer in the fields of data science, machine learning, AI and statistics.
25 November 2024
10:00 - 17:00
DIH West
Predictive analytics: AI-based forecasting models
Introduction to the basics of regression analysis with the aim of creating forecasts.
25 - 27 September 2024
10:00 - 17:00
Techno Z
Reinforcement Learning Bootcamp
Reinforcement learning is at the cutting edge of artificial intelligence, powering advancements in robotics, autonomous systems, game playing, and decision-making algorithms
Organiser: IDA Lab, Smart Analytics & Reinforcement Learning team in cooperation with Fraunhofer and AI Austria.
03 - 06 September 2024
10:00 - 17:00
Faculty of Natural Sciences
11th International conference on Soft Methods in Probabilities and Statistics
From adaptive algorithms and classification methods to robust statistical methods, optimal transport and fuzzy probability theory, the course covers a wide range of topics
Organiser: Dr Jonathan Ansari, Dr Sebastian Fuchs and Prof Wolfgang Trutschnig (PLUS)
NEWS Overview
Latest news
Scientific Committee:
Arne Bathke, Chair (University of Salzburg)
Minge Xie, Chair (Rutgers University)
With the support of the other members of the Scientific Committee
Hellbrunner Street 34
5020 Salzburg
Organised by:
Kavita Ramanan, IMS President
Genevera Allen, Programme Chair (Statistics)
Remco van der Hofstad, Programme Chair (Probability)
Arne Bathke, Local Host Programme Chair
Wolfgang Trutschnig, Session Chair
Auerspergstrasse 6
5020 Salzburg
Organised by Arne Bathke with the support of Georg Zimmermann and Minge Xie
In partnership with the professional associations ÖSG, IBS-DR and ROeS
Strobl
This course is ideal for small and medium-sized companies looking for a practical and understandable introduction to data science and AI. You will learn how to better understand and analyse company data and how to use it specifically for data-based decisions.
Please bring your own laptop!
Techno-Z, Jakob-Haringer-Straße 5, 5020 Salzburg, seminar room C
For further information and/or to register, please click on the button „Log in“.
Jakob-Haringer-Strasse 5
5020 Salzburg
Practical course for small and medium-sized companies: Learn how to use AI and autonomous systems in a targeted manner to make data-based decisions and organise processes more efficiently.
💻 Please bring your own laptop!
Event centre Techno-Z, Jakob Haringer Straße 5, 5020 Salzburg
Jakob-Haringer-Strasse 5
5020 Salzburg
Applied Research
DS STIWA: Data Science STIWA
Paracelsus Medical University (PMU), House C, Strubergasse 22
Organiser: IDA Lab Team Biostatistics and Big Medical Data / Research Programme Biomedical Data Science.
Registration is free of charge, please contact here register!
Applied Research
DS STIWA: Data Science STIWA
Paracelsus Medical University (PMU), House C, Strubergasse 22
Organiser: IDA Lab Team Biostatistics and Big Medical Data / Research Programme Biomedical Data Science.
Registration is free of charge, please contact here register!
Applied Research
DS STIWA: Data Science STIWA
Paracelsus Medical University (PMU), House C, Strubergasse 22
Organiser: IDA Lab Team Biostatistics and Big Medical Data / Research Programme Biomedical Data Science.
Registration is free of charge, please contact here register!
Applied Research
DS STIWA: Data Science STIWA
Paracelsus Medical University (PMU), House C, Strubergasse 22
Organiser: IDA Lab Team Biostatistics and Big Medical Data / Research Programme Biomedical Data Science.
Registration is free of charge, please contact here register!
About
IDA LAb SAlzburg
Information on
The IDA Lab Salzburg (Lab for Intelligent Data Analytics), funded by the state of Salzburg as part of WISS 2025, is a competence centre for basic and applied research, as well as for knowledge and technology transfer in the fields of data science, machine learning, AI and statistics.
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Partners and co-operations
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Applied Research





