#Data Science

Data Science allows users to discover, analyse and visualise large amounts of complex data in order to obtain useful information.

Projects

Applied Biomechanics in Rehabilitation Research

Endowed professorship of the province of Lower Austria to strengthen and expand the research focus on motor rehabilitation

O3DGA – The Use of Machine Learning as a Supportive Measure in Clinical Three-Dimensional Gait Analysis

Optimisation of time-consuming and error-prone processes in three-dimensional gait analysis.

Josef Ressel Center for Blockchain-Technologies & Security Management

The Josef Ressel Center for Blockchain-Technologies & Security management is a research institution operated by the St. Pölten University of Applied Sciences. The research objective is making secur...

DiDaMe - Towards a Distributed Data Mesh Platform: Federating Data Management, Governance and Access

Research in novel data management architectures to overcome the drawbacks of conventional, monolithic data platforms.

CounterSpeech - Young People Against Online Hate

Computer-assisted Strategies for Facilitating Citizen-generated Counter Speech in Social Media

SoniVis

Working towards a unified framework for joint audio &visual analytics

Dataskop - Sensor-Based Data Economy in Lower Austria

IMREA - Intelligent Multimodal Real Estate Assessment

Multimodal information extraction and machine learning techniques for the extraction of real estate related attributes and parameters from heterogeneous input data

E³UDRES² - Engaged - European - Entrepreneurial University as Driver for European Smart and Sustainable Regions

Innovative cooperation in research, teaching, knowledge transfer and innovation

necta against Food Waste

Reducing Food Waste in Healthcare and Nursing Institutions.

Publications

Aigner, W. (2022, June 30). TimeViz: Visualization of Time-Oriented Data [Invited Talk]. CSIG-VIS International Lecture Series - ChinaVis, Online. https://chinavis.org/lectures/english/index_en.html
Aigner, W. (2022, June 10). TimeViz: Visualization of Time-Oriented Data [Invited Talk]. Seminar Series on "Information Technology Outlook," Bari, Italy.
Aigner, W., Enge, K., Iber, M., Rind, A., Elmqvist, N., Höldrich, R., Rönnberg, N., & Walker, B. N. (2022). Workshop on Audio-Visual Analytics. Proceedings of the 2022 International Conference on Advanced Visual Interfaces, 92:1-92:4. https://doi.org/10.1145/3531073.3535252
Slijepcevic, D., Horst, F., Lapuschkin, S., Horsak, B., Raberger, A.-M., Kranzl, A., Samek, W., Breitender, C., Schöllhorn, W., & Zeppelzauer, M. (2022). Explaining Machine Learning Models for Clinical Gait Analysis. ACM Transactions on Computing for Healthcare, 3(2), 14:1-14:27. https://doi.org/10/gnt2s9
Burtscher, S., Spiel, K., Klausner, L. D., Lardelli, M., & Gromann, D. (2022). „Es geht um Respekt, nicht um Technologie“: Erkenntnisse aus einem Interessensgruppen-übergreifenden Workshop zu genderfairer Sprache und Sprachtechnologie. Tagungsband Der Mensch Und Computer 2022, 106–1118. https://doi.org/10.1145/3543758.3544213
Gebesmair, A., & Bezensek, S. (2022). Extremwetterereignisse in der medialen Berichterstattung. https://phaidra.fhstp.ac.at/o:4933
Rind, A., Böck, J., Boucher, M., Grassinger, F., Kirchknopf, A., Stoiber, C., Stumpe, E., & Zauchinger, M. (2022). Wie können wir Daten erlebbar machen? [Demo & Poster]. Lange Nacht der Forschung 2022, St. Pölten.
Enge, K., Rind, A., Iber, M., Höldrich, R., & Aigner, W. (2022). Towards Multimodal Exploratory Data Analysis: SoniScope as a Prototypical Implementation. In M. Agus, W. Aigner, & T. Hoellt (Eds.), Proc. 24th Eurographics Conference on Visualization (EuroVis 2022) - Short Papers (pp. 67–71). Eurographics Association. https://doi.org/10.2312/evs.20221095
Horak, T., Aigner, W., Brehmer, M., Joshi, A., & Tominski, C. (2022). Responsive Visualization Design for Mobile Devices. In B. Lee, E. K. Choe, P. Isenberg, & R. Dachselt (Eds.), Mobile Data Visualization. CRC Press; 10.1201/9781003090823-2. https://www.routledge.com/Mobile-Data-Visualization/Lee-Dachselt-Isenberg-Choe/p/book/9780367534714
Besancon, L., Aigner, W., Boucher, M., Dwyer, T., & Isenberg, T. (2022). 3D Mobile Data Visualization. In B. Lee, E. K. Choe, P. Isenberg, & R. Dachselt (Eds.), Mobile Data Visualization. CRC Press. https://www.routledge.com/Mobile-Data-Visualization/Lee-Dachselt-Isenberg-Choe/p/book/9780367534714

News

06/30/2022

Connecting the Senses of Hearing and Vision

06/09/2022

Understanding Data through Visualisation

06/03/2022

New Research Focus “Mobility 4.0”