Visual Analysis of Engineers' Biographies and Engineering Branches

The Prosopographic Database of German Engineers 1825–1970 contains a multitude of biographical information. Given a set of research interests by collaborating historians, this paper discusses the steps undertaken (1) to extract engineering subjects from unstructured text entries in the database accompanied with geospatial and temporal information, (2) to adapt existing visual representations to facilitate exploratory analyses, and (3) to design a visual interface to support the interactive composition of engineering branches from engineering subjects to enable the comparative analysis of geospatial-temporal developments in engineering. Usage scenarios outline the benefit of the proposed visualizations for modern prosopography research

Patent Law, Copyright Law, and the Girl Germs Effect

[Excerpt] Inventors pursue patents and authors receive copyrights. No special education is required for either endeavor, and nothing precludes a person from being both an author and an inventor. Inventors working on patentable industrial projects geared toward commercial exploitation tend to be scientists or engineers. Authors, with the exception of those writing computer code, tend to be educated or trained in the creative arts, such as visual art, performance art, music, dance, acting, creative writing, film making, and architectural drawing. There is a well-warranted societal supposition that most of the inventors of patentable inventions are male. Assumptions about the genders of the authors of remunerative commercially exploited copyrights may be less rigid. Women authors are more broadly visible than women inventors across most of the typical categories of copyrightable works. Yet, whether one considers patentable inventions or copyrightable works, the vast majority of the very profitable ones are both originated and controlled by men. This causes a host of negative consequences for women. They start and run businesses at much lower rates than men and rarely reach elite leadership levels in the corporate world or within high-profile artistic or cultural communities. They are perceived as less competent, less dedicated, and less hard working, and suffer from a lack of female mentors and female colleagues. Women are lied to during financial negotiations more than men and earn less than men in equivalent positions. Women control only a tiny portion of the world’s wealth. Though female students outperform male students in almost every context and at almost every level of education, and even seek postdegree job-related training in greater numbers than men, this has not helped women to produce and control patentable inventions or to author and own valuable copyrighted works in numbers comparable to men

MusiXplora: Visualizing Geospatial Data in the Musicological Domain

The musiXplora is an interactive and multimodal tool for the domain of musicology, developed in a collaborative and interdisciplinary fashion. It serves as a research environment that, on the one hand, links large data collections on musicians, musical instruments, events and more, and, on the other hand, offers a set of visualizations which allow users to explore and analyze these data sets comprehensively. In this paper, we discuss our recent work to emphasize the relevance of geovisualizations in the musicological domain and provide detailed insights into how the musiXplora can be used to address geospatial research questions. We introduce two distinct use cases and discuss how musicologists can use the musiXplora’s geovisualizations as distant-reading tools. Thereby we demonstrate how the musiXplora can contribute to the confirmation of existing hypotheses and to the formulation of new ones

Explorative Visual Analysis of Rap Music

Detecting references and similarities in music lyrics can be a difficult task. Crowdsourced knowledge platforms such as Genius. can help in this process through user-annotated information about the artist and the song but fail to include visualizations to help users find similarities and structures on a higher and more abstract level. We propose a prototype to compute similarities between rap artists based on word embedding of their lyrics crawled from Genius. Furthermore, the artists and their lyrics can be analyzed using an explorative visualization system applying multiple visualization methods to support domain-specific tasks

How Visualization Supports the Daily Work in Traditional Humanities on the Example of Visual Analysis Case Studies

Attempts to convince humanities scholars of digital approaches are met with resistance, often. The so-called Digitization Anxiety is the phenomenon that describes the fear of many traditional scientists of being replaced by digital processes. This hinders not only the progress of the scientific domains themselves – since a lot of digital potential is missing – but also makes the everyday work of researchers unnecessarily difficult. Over the past eight years, we have made various attempts to walk the tightrope between 'How can we help traditional humanities to exploit their digital potential?' and 'How can we make them understand that their expertise is not replaced by digital means, but complemented?' We will present our successful interdisciplinary collaborations: How they came about, how they developed, and the problems we encountered. In the first step, we will look at the theoretical basics, which paint a comprehensive picture of the digital humanities and introduces us to the topic of visualization. The field of visualization has shown a special ability: It manages to walk the tightrope and thus keeps digitization anxiety at bay, while not only making it easier for scholars to access their data, but also enabling entirely new research questions. After an introduction to our interdisciplinary collaborations with the Musical Instrument Museum of Leipzig University, as well as with the Bergen-Belsen Memorial, we will present a series of user scenarios that we have collected in the course of 13 publications. These show our cooperation partners solving different research tasks, which we classify using Brehmer and Munzner’s Task Classification. In this way, we show that we provide researchers with a wide range of opportunities: They can answer their traditional research questions – and in some cases verify long-standing hypotheses about the data for the first time – but also develop their own interest in previously impossible, new research questions and approaches. Finally, we conclude our insights on individual collaborative ideas with perspectives on our newest projects. These have risen from the growing interest of collaborators in the methods we deliver. For example, we get insights into the music of real virtuosos of the 20th century. The necessary music storage media can be heard for the first time through digital tools without risking damage to the old material. In addition, we can provide computer-aided analysis capabilities that help musicologists in their work. In the course of the visualization project at the Bergen-Belsen memorial, we will see that what was once a small diary project has grown into a multimodal and international project with institutions of culture and science from eight countries. This is dedicated not only to the question of preserving cultural objects from Nazi persecution contexts but also to modern ways of disseminating and processing knowledge around this context. Finally, we will compile our experience and accumulated knowledge in the form of problems and challenges at the border between computer science and traditional humanities. These will serve as preparation and assistance for future and current interested parties of such interdisciplinary collaborative project