Research Center for New Media Technology

Research Center for New Media Technology

Welcome to the Research Center for New Media Technology at Modul University Vienna

With the growing demand for data science skills in optimizing business processes, our interdisciplinary approach addresses real-world problems in various fields. As a result, MU Vienna has founded the School of Applied Data Science and launched our new BSc in Applied Data Science, capitalizing on our interdisciplinary tradition and comprehensive quantitive data-driven approach.

About the School

Led by Prof. DDr. Arno Scharl, the center is a dynamic hub of interdisciplinary research and innovation. With its focus on AI-driven knowledge extraction and visualization, media monitoring, business intelligence applications, and the utilization of new media for interactive marketing and virtual community building, NMT is at the forefront of cutting-edge research on (generative) Artificial Intelligence and semantic technologies.

As an integral part of Modul University, the center collaborates closely with Modul Technology (MT), the university's New Media Research and Innovation spin-off company. Drawing on the expertise of faculty and technology experts, NMT and MT actively engage in nationally and internationally funded projects, developing innovative data-driven solutions that bridge the gap between research and market application.  

Research Focus

Among the leading European research groups in its field, the Research Center for New Media Technology conducts cross-disciplinary research on Web intelligence, knowledge management and visual analytics. It develops advanced success metrics and decision support tools, investigates new forms of communication and collaboration, and showcases its results through award-winning Web portals and social media applications. The center’s faculty couples technological expertise with a strong background in the social and economic sciences. Main research areas include: 

  • Integration of Semantic and Geospatial Web Technologies 
  • Visual Analytics for Decision Support 
  • Crowdsourcing, Social Innovation and Knowledge Co-Creation 
  • Text Mining and Natural Language Processing 
  • Context-Aware Services and Applications 

Projects

DWBI (Digital Well-Being Index for Vienna) 
This project will develop knowledge extraction algorithms to measure well-being in the Vienna region, and provide a visual analytics dashboard to understand changes in subjective well-being by region and over time. This will detect relevant trends in subjective citizen experiences and measure the level of agreement with specific social or political measures.
EPOCH

Through EPOCH we will measure the effects on statistical indicators of events being reported in the news and social media. Innovatively, it will use the measured effects of now past events to predict the future changes expected due to future events detected in the public dialogue. Through the EPOCH dashboard, organizations can identify and thus better prepare for these changes, adapting their communications, marketing and resources accordingly. This will be demonstrated in the domains of purchase price forecasting and public relations. This project is carried out by Modul Technology. 

GENTIO
Aims for radical innovation in the way we produce, enrich and analyse digital content. The project will develop a flexible Deep Learning Architecture to unify the understanding of text at three fundamental levels: structure, content and context. In the first use case, we will experiment with new methods for communications experts to maximize the impact of data-driven publishing. In the second use case, we will correct and classify noisy output from Optical Character Recognition (OCR) systems. Through multilingual and highly scalable knowledge graph technologies, the envisioned approach will be applicable across numerous domains and regions. This project is carried out by Modul Technology.
EcoMove
The project develop knowledge-based solutions for efficient and environmentally sustainable movement in cities, providing customized information about available mobility options. Real-time recommendations for delaying, avoiding or taking alternative options will be presented visually to the users – city residents, visitors, and professional stakeholders – in order to prioritize “necessary” mobility. The City of Vienna will serve as the use case, but the developed methods will be generic and applicable to other cities and regions in follow-up projects.
Media Watch on Climate Change.
To increase awareness and the availability of environmental information, this project provides a comprehensive and continuously updated account of online media coverage on climate change and related issues. The portal aggregates, filters and visualizes environmental content from the Web sites of various stakeholders in English, French, German and Spanish language. Winner of the Digital Earth 3D Visualization Challenge 2007, held in conjunction with the 5th International Symposium on Digital Earth.
ECOresearch.
The interdisciplinary Research Network on Environmental Online Communication brings scientists of different backgrounds together to explore the development, management, promotion and evaluation of networked information systems that advocate sustainability and the protection of natural ecosystems. The network supports the research activities of its members, identifies synergies, coordinates the various projects and helps with resource acquisition.

Student Recruitment Advisors

Andrada, Eduardo, Max and Jessica
Recruitment@Modul.ac.at

Get In Touch
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Have any questions about studying at MU or the application process? Connect with our Student Recruitment Team and they will assist you every step of the way.  

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