Projects
In 2022, St. Pölten UAS’s 128 research projects generated revenue of EUR 4,6 million. Interdisciplinary projects have grown in importance in recent years as a means to identify suitable answers to modern-day issues and devise appropriate solutions.
Vida on air - preliminary study for the implementation of a multi-ethnic web radio for transport workers
Employee survey in the transport industry to establish information and communication needs at work
MUKE
Meta-analysis of critical success factors concerning solutions in the field of freight traffic and transport logistics
SensiTrack - Tracking vs Privacy in the Workplace 4.0
Developing measures to support employee privacy whwn using tracking systems in industry and comparing positive aspects of tracking technologies with regard to occupational safety
InduSec
Industrial Security (IT/OT convergence) -Qualification network for promoting a common understanding of security among IT and OT experts
Mixed Reality Based Collaboration 4 Industry
Investigating the possible applications of Mixed Reality (MR) techniques for businesses from all industrial sectors
Algorithms, Law and Society: Decision Makers between Algorithmic Guidance and Personal Responsibility
Investigating non-discriminatory and employee-friendly implementation of algorithmic decision support systems in the workplace
DuS - Digitization and Security
Qualification network for transferring IT security knowledge in context of the digital transformation of the economy
Consultation material for nutrition counselling – by dieticians for dieticians
Illustrated and comprehensive advisory material to support dieticians in their daily work.
SemTreat
Scientific exchange with South Africa in the field of digital technologies
Inclusion of newcomers and reducing vacancies in the Waldviertel area
Feasibility study using participatory research methods
ImmBild - Location Assessment by Computer Vision
Location is key – especially when it comes to real estate value. “ImmBild” aims at developing a new method for estimating property value using computer vision of satellite data.