The music industry is facing a growing challenge: unpaid copyright royalties are expected to soon reach nearly $8 billion annually, up from $2.5 billion currently. In a groundbreaking initiative to combat this unfair distribution, the Eastern Swiss start-up HELGA.works is launching an Innosuisse project with the Professorship for Data Science & Artificial Intelligence at the University of Liechtenstein.
The aim of the project is to help artists get the royalties they are entitled to. The key challenge is to identify the legitimate recipients despite inadequate data quality, a problem that particularly, but not only, affects niche artists. By using state-of-the-art machine learning models, such as graph neural networks, which can handle incomplete and inaccurate data, the aim is to create a solution that is not only innovative, but also remains simple and interpretable. The aim is to develop a prediction service that estimates the risk and amount of unpaid royalties.
The potential product solution has already aroused significant interest among investors as well as in the industry, including from renowned music publishers and artists, and promises a competitive advantage for HELGA.works and its customers. Even rough predictions can be very helpful in guiding efforts to further analyze potentially unclaimed royalties. Based on a model prediction, an agent can decide whether to further investigate the causes and potential amounts of unpaid royalties from existing customers or to focus marketing on potential customers who would benefit most from HELGA.works' offerings.
In addition to creating economic value, the proposed solution also supports niche artists in particular in receiving their legitimate remuneration and thus contributes to musical and cultural diversity. Together with the University of Liechtenstein as a research partner, a Swiss start-up is involved as an implementation partner in the Innosuisse project, whose employees have knowledge and experience in the areas of machine learning and data science.

Siehe Erasmus Projektbeschrieb

Restrictions to mitigate the spread of COVID-19 forced choirs to suspend physical rehearsals. Relegated to the "home office", some choirs initiated online rehearsals to continue singing together. While the experiences from the pandemic show that online rehearsals basically work, many limitations remain. This project seeks to enable choirs to carry out online rehearsals by consolidating the lessons learned and designing guidelines regarding technology, choir pedagogy and social interaction.
First, this project will identify the state-of-the-art of online choir rehearsals. Subsequently, technology solutions and principles for carrying out online choir rehearsals will be designed. Those concepts will build on identified best practices, address existing limitations, and consider different requirement profiles. The designed technology solutions and principles will be evaluated in rehearsals with an online laboratory choir and refined using insights from surveys and expert workshops.
The results of this project include 1) a documentation of the state-of-the-art of online choir rehearsals from a technological, choir pedagogical, and socio-technical perspective; 2) guidelines concerning technology solutions, for conducting online rehearsals as well as for increasing technology acceptance and fostering interaction during online rehearsals; and 3) identification and description of (digital) competencies to carry out online rehearsals.

The aim of this research project is to learn to understand user behavior in online settings, in particular mechanisms associated with the presentation of choices in online contexts (referred to as "choice architecture"). Choice architecture uses "nudges" such as incentives, or feedback, often in public policy settings, and is concerned with making better decisions (as judged by the decision makers themselves).

To test the influence of design mechanisms on online behavior, this research project analyzes online reviews. Online reviews typically explain and justify purchase decisions, but they are susceptible to cognitive biases, which can result in extreme ratings. For instance, ratings of other user may influence individual user ratings (i.e., social influence bias). Thus, the goal of the project is to test design modifications of online forms-for example, setting defaults on rating scales-to reduce common sources of such biases (such as availability or anchoring and adjustment).

Over the last 100 years, Liechtenstein has evolved from one of the poorest and underdeveloped countries to one of the most prosperous in Europe. The dramatic economic, social and spatial transformation that this tiny country has undergone in this time makes the search for “fundamentals” in its architecture a challenging adventure. Even in times of World Wars or financial crises, construction has been ubiquitous, resulting in the country’s building stock to be almost entirely assembled from typologies and styles originating from foreign influences. The consequence is a pastiche of modern and post-modern architecture which, as an ensemble could be (mis-)read as the local building culture.

This exhibition and its associated events aim to ruminate on how globally prevalent building types have been adapted to a particular local condition. Rather than attempting to identify fundamentals in the form of original building components of a distant past, its goal is to discover how this adaptive process has generated fundamental principles and values that consist in a contemporary (and future) Liechtenstein building culture.

The uncanny findings on display – developed by an international group of researchers and students at the University of Liechtenstein - are critical reflections on a particular national or regional architectural identity.

“Once upon a time in Liechtenstein” is the Principality of Liechtenstein’s first presence at the International Architecture Exhibition, La Biennale.

Investments in information technology (IT) can have a substantial impact on the performance of organizations. However, technology alone does not create a competitive advantage. Complementary changes in organizational resources are needed to activate the potential. In productive environments IT resources are closely tied to organizational entities, which together form socio-technical systems. Accordingly, changes in IT infrastructures, like the implementation of new technologies, can substantially change organizational structures and processes. Information Systems (IS) research studies these changes under the label of "IS-enabled organizational transformation."
Changes triggered by IT are complex and challenging, so studies indicate high failure rates. Though the phenomenon has a long tradition in research, IS-enabled organizational transformation can still be considered a contemporary and relevant research area.
The dissertation project is paper-based aims at contributing to this field of research through literature reviews and case studies.

Investments in information technology (IT) can have a substantial impact on the performance of organizations. However, technology alone does not create a competitive advantage. Complementary changes in organizational resources are needed to activate the potential. In productive environments IT resources are closely tied to organizational entities, which together form socio-technical systems. Accordingly, changes in IT infrastructures, like the implementation of new technologies, can substantially change organizational structures and processes. Information Systems (IS) research studies these changes under the label of "IS-enabled organizational transformation."
Changes triggered by IT are complex and challenging, so studies indicate high failure rates. Though the phenomenon has a long tradition in research, IS-enabled organizational transformation can still be considered a contemporary and relevant research area.
The dissertation project is paper-based aims at contributing to this field of research through literature reviews and case studies.

The research focus lies on offensive machine learning, which mainly regards the attacker's use of machine learning techniques. The relevance of this topic is driven by the fact that zero-day attacks, among others, are exponentially increasing and harming enterprise environments. Thus, cybersecurity is becoming an international concern. While strongly considering ethical aspects, the goal of this research is to better understand how attackers improve exploits with machine learning so that we can ultimately protect our networks more efficiently.

A key aspect of successful entrepreneurship is effective leadership. The most effective form of leadership is transformational leadership. Although this style of leadership motivates followers and increases organizational outcomes, little is known about the concrete behavior of transformational leadership. Identifying concrete behavioral skills allows transformational leadership to be made learnable. Non-verbal communication, especially that conveyed through emotional expressions, demonstrate effects on all kinds of people. Expressing energetic emotions, for example enthusiasm, increases the charisma attributed to a person. Non-verbal signals impact on business communication effectiveness, most notably in leadership situations. Identifying nonverbal communication skills that enhance the charismatic impact of leaders would lead to the evolution of existing leader / leadership development programs. Moreover, since transformational leadership affects firm performance through the motivation of followers, it is of outstanding practical importance for entrepreneurial leaders, which are faced with limited resources.

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