Štefan Emrich

drahtwarenhandlung · data and science communication

Several journalistic abilities are required to derive narratives from data, including the skill to discover and construct compelling stories (data storytelling), employ data-driven techniques to research and analyze information (data literacy), utilize visualization methods effectively (visualization literacy), and approach data with a combination...

In 2020, the ongoing COVID-19 pandemic caused major limitations for any aspect of social life and in specific for all events that require a gathering of people. While most events of this kind can be postponed or cancelled, democratic elections are key elements of any democratic regime and should be upheld if at all possible. Consequently, proper pl...

In 2020, the ongoing COVID-19 pandemic caused major limitations for any aspect of social life and in specific for all events that require a gathering of people. While most events of this kind can be postponed or cancelled, democratic elections are key elements of any democratic regime and should be upheld if at all possible. Consequently, proper pl...

Journalists need visual interfaces that cater to the exploratory nature of their investigative activities. In this paper, we report on a four‐year design study with data journalists. The main result is netflower, a visual exploration tool that supports journalists in investigating quantitative flows in dynamic network data for story‐finding. The vi...

Moving beyond the dominant bag-of-words approach to sentiment analysis we introduce an alternative procedure based on distributed word embeddings. The strength of word embeddings is the ability to capture similarities in word meaning. We use word embeddings as part of a supervised machine learning procedure which estimates levels of negativity in p...

While second screen scenarios – that is, simultaneously using a phone, tablet or laptop while watching TV or a recorded broadcast - are finding their ways into the homes of millions of people, our understanding of how to properly design them is still very limited. We envision this design space and investigate how interactive data visualization can...

In this paper, we use several supervised machine learning approaches and compare their success in predicting the sentiment of Austrian parliamentary speeches and news reports (German language). Prediction results in learning-based sentiment analysis vary strongly. They depend on the choice of algorithm and its parameterization, the quality and quan...

Buildings are responsible for roughly one third of greenhouse gas (GHG) emissions within developed countries, yet space utilization efficiency is still a widely unidentified topic. With the sector only starting to become aware of it as a means to reduce GHG emissions and save (financial) resources there are hardly any strategies to improve space ut...

MATLAB code of hybrid simulation model. The structure of the model is described in section 4.1.3 of the thesis, which it was developed for and used in. Title of the thesis "Comparison of Mathematical Models and Development of a Hybrid Approach for the Simulation and Forecast of Influenza Epidemics within Heterogeneous Populations".

As proposed in a study conducted by Wiegand et al. (2007) at the ETH Zürich, educational facilities hold a high potential yield for improvement of room utilization. The goal of the project “MoreSpace” at Vienna University of Technology (TU Vienna) is to develop a new modeling approach which helps to use space efficiently. For a successful deploymen...

The Institute for Analysis and Scientific Computing at Vienna University of Technology (Vienna UT) has created models to simulate lecture room reservations, in order to test strategies for increasing the efficiency of utilisation, increasing booking fairness and perceived capacity without need to add more lecture rooms. Thus, the produced system ha...

The present paper describes the development of a new simulation approach for evaluation of building design with respect to its utilization. Hereby the focus is set on buildings other than industry (currently university campuses), as for these – to the authors' knowledge – no appropriate methods exist. From the starting point of a potential benefit...

Shifting from the classical and unsatisfying def- inition of the ecological footprint to a more significant “foot- print / utilization-ratio” forces to change the focus when plan- ning buildings. As utilization is a major factor of buildings’ ecological impact, it can be drastically influenced by room management. Big potential for improving the pub...

The Lattice Bhatnagar Gross and Krook (LBGK) method is widely used to solve fluid mechanical problems in engineering applications. In this work a brief introduction of the LBGK method is given and a new boundary condition is proposed for the cardiovascular domain. This enables the method to support elastic walls in two and three spatial dimensions...

To understand and predict epidemic patterns ODEs and PDEs have been used since the beginning of the last century. But these approaches have a quite relevant shortcoming. Trying to model a multiply heterogeneous population (e.g. with individual characteristics, varying population densities) increases complexity beyond limits. To bring individual eff...

Object-oriented approaches, UML - notation, DAE modelling, variable structure modelling, Modelica notation and other developments have extended the CSSL standard for simulation languages essentially. After a review of the extended CSSL structure, this contribution classifies state events in continuous system modelling and develops a concept of inte...

The question how to model the spread of epidemics has been approached countless times. The number of different methods used on this problem is not too small either. Ordinary differential equations (ODE) and Partial differential equations (PDE) have dominated this field for several decades, if not centuries. In the second half of the last century tw...

The classical tools for modeling epidemics are ODEs and PDEs, but they have some shortcomings. It is extremely complex to expand the model onto heterogeneous populations (age-groups, sex, infection risk, etc.) or to add time dependend effects (e.g. daily routines or vaccination after infection). Thanks to electronic data processing there is also mu...

In the course of this thesis a hybrid mathematical model for the simulation and prediction of influenza epidemics is going to be established. The classic methods applied for modelling such epidemics used to be ODE-Systems but unfortunately these systems are limited in some respect. They become particularly complicated and complex beyond limit when...