Educating artists in management: an analysis of art education programmes in DACH region

Labour force in the art sector is characterised by high qualification, but low income for those people who perform the core contribution in art, i.e. the artists. As artists are typically self-dependent in managing their business, they should have managerial skills besides those skills necessary to perform their artistic core activities. If the lack of managerial skills is a reason why artists fail to make a living from their talent, then this chain of cause and effect could be ruptured by adequate educational opportunities. This paper analyses the curricula of a wide range of institutions offering art education programmes and identifies their managerial learning content. In doing so, we focused on German-speaking countries, the so-called DACH region (i.e. Germany, Austria and Switzerland, whereas D, A and CH are country codes). We identified and analysed 159 course syllabi of 81 art universities, schools and academies. The results of our study indicate a lack of managerial learning contents: a vast majority of institutions follow a rather traditional approach to art education, focusing solely on artistic competences. We suggest the implementation of managerial learning contents to better prepare art students for successful careers in the arts

Music Recommender Systems Challenges and Opportunities for Non-Superstar Artists

Music Recommender Systems (MRS) are important drivers in music industry and are widely adopted by music platforms. Other than most MRS research exploring MRS from a technical or from a consumers’ perspective, this work focuses on the impact, value generation, challenges and opportunities for those, who contribute the core value, i.e. the artists. We outline the non-superstar artist’s perspective on MRS, and explore the question if and how non-superstar artists may benefit from MRS to foster their professional advancement. Thereby, we explain several techniques how MRS generate recommendations and discuss their impact on non- superstar artists

ICOPP Report: Can the range contribute to the nutritional needs of organic pigs and poultry?

On-farm habitats, including woodlands, agroforestry, headlands, field margins and agri-environment scheme options such as game bird cover strips, support a wide diversity of floral and faunal resources that may provide opportunities to enhance feed provision from the range for monogastrics. There have been many biodiversity studies of these habitats and this desk study will collate these data and information to test the hypothesis that the range can contribute to the nutritional needs of pigs and poultry as part of the CORE Organic II project ICOPP

A Consolidated View of Context for Intelligent Systems

This paper's main objective is to consolidate the knowledge on context in the realm of intelligent systems, systems that are aware of their context and can adapt their behavior accordingly. We provide an overview and analysis of 36 context models that are heterogeneous and scattered throughout multiple fields of research. In our analysis, we identify five shared context categories: social context, location, time, physical context, and user context. In addition, we compare the context models with the context elements considered in the discourse on intelligent systems and find that the models do not properly represent the identified set of 3,741 unique context elements. As a result, we propose a consolidation of the findings from the 36 context models and the 3,741 unique context elements. The analysis reveals that there is a long tail of context categories that are considered only sporadically in context models. However, particularly these context elements in the long tail may be necessary for improving intelligent systems' context awareness

An Open Model for Researching the Role of Culture in Online Self-Disclosure

The analysis of consumers’ personal information (PI) is a significant source to learn about consumers. In online settings, many consumers disclose PI abundantly - this is particularly true for information provided on social network services. Still, people manage the privacy level they want to maintain by disclosing by disclosing PI accordingly. In addition, studies have shown that consumers’ online self-disclosure (OSD) differs across cultures. Therefore, intelligent systems should consider cultural issues when collecting, processing, storing or protecting data from consumers. However, existing studies typically rely on a comparison of two cultures, providing valuable insights but not drawing a comprehensive picture. We introduce an open research model for cultural OSD research, based on the privacy calculus theory. Our open research model incorporates six cultural dimensions, six predictors, and 24 structured propositions. It represents a comprehensive approach that provides a basis to explain possible cultural OSD phenomena in a systematic way