A Data Science Course for Undergraduates: Thinking with Data

Data science is an emerging interdisciplinary field that combines elements of mathematics, statistics, computer science, and knowledge in a particular application domain for the purpose of extracting meaningful information from the increasingly sophisticated array of data available in many settings. These data tend to be non-traditional, in the sense that they are often live, large, complex, and/or messy. A first course in statistics at the undergraduate level typically introduces students with a variety of techniques to analyze small, neat, and clean data sets. However, whether they pursue more formal training in statistics or not, many of these students will end up working with data that is considerably more complex, and will need facility with statistical computing techniques. More importantly, these students require a framework for thinking structurally about data. We describe an undergraduate course in a liberal arts environment that provides students with the tools necessary to apply data science. The course emphasizes modern, practical, and useful skills that cover the full data analysis spectrum, from asking an interesting question to acquiring, managing, manipulating, processing, querying, analyzing, and visualizing data, as well communicating findings in written, graphical, and oral forms.Comment: 21 pages total including supplementary material

Evocative computing – creating meaningful lasting experiences in connecting with the past

We present an approach – evocative computing – that demonstrates how ‘at hand’ technologies can be ‘picked up’ and used by people to create meaningful and lasting experiences, through connecting and interacting with the past. The approach is instantiated here through a suite of interactive technologies configured for an indoor-outdoor setting that enables groups to explore, discover and research the history and background of a public cemetery. We report on a two-part study where different groups visited the cemetery and interacted with the digital tools and resources. During their activities serendipitous uses of the technology led to connections being made between personal memo-ries and ongoing activities. Furthermore, these experiences were found to be long-lasting; a follow-up study, one year later, showed them to be highly memorable, and in some cases leading participants to take up new directions in their work. We discuss the value of evocative computing for enriching user experiences and engagement with heritage practices

Sex in the city: the rise of soft-erotic film culture in Cinema Leopold, Ghent, 1945-1954

Since the 1990s, film studies saw a disciplinary shift from approaches favoring a textual and ideological analysis of films to a broader understanding of the socio-cultural history of cinema under the banner of new cinema history. This turn not only allowed for ‘niche’ research domains to flourish such as film economics or cinema memory research, or for new empirical and critical methodologies to be applied to film and cinema history. This change in researching and writing film/cinema history also shed light on previously marginalized, neglected or uncharted film cultures and histories, burgeoning scholarship in for instance (s)exploitation cinema. This contribution examines a peculiar part of post-war local film culture in the Belgian city of Ghent, more precisely the one around the city-center soft-erotic cinema Cinema Leopold (1945-54). The research is based on a programming and box-office database compiled from archival sources and contextualized by other data (internal and external correspondence, posters,…) coming from the business archive of Octave Bonnevalle, Cinema Leopold’s founding pater familias (material kept in the State Archives of Belgium; RAB/B70/1928-1977). The database now contains information on 625 film titles shown between 1945 and 1954, out of which 233 were unidentified (due to lack of information). Although the database is at times crippled by source inconsistencies, it is extremely rich in documenting the everyday practices of a cinema that gradually turned into a soft-erotic movie theater. The database allows for some remarkable findings concerning shifts in the origin of films, their production years, genres, censorship and popularity. The key finding is that Cinema Leopold started out after the Second World War with a child-friendly, mainstream Hollywood-oriented film program, as did most cinemas in Ghent, but its profile slowly tilted towards more mature audiences and provocative film genres. These included French ‘risqué’ feature films containing some forms of nudity like Perfectionist/Un Grand Patron (Ciampi, 1951) and documentaries on venereal diseases like the successful Austrian Creeping Poison/Schleichendes Gift (Wallbrück, 1946), but also auteur movies such as Bergman’s Port of Call/Hamnstad (1948) were shown. It is interesting how Leopold walked a fine line between innovative, bold European art-house cinema, soft-erotic ‘didactic’ movies and flat-out commercial soft-porn. By 1954, Leopold had gathered a loyal crowd, which kept the cinema alive until 1981 despite the several law suits and trials. This micro-history offers a remarkable example of the post-war flourishing of alternative, yet profit-driven cinema circuits, riddled with media controversies and censorship

Addictive links: The motivational value of adaptive link annotation

Adaptive link annotation is a popular adaptive navigation support technology. Empirical studies of adaptive annotation in the educational context have demonstrated that it can help students to acquire knowledge faster, improve learning outcomes, reduce navigational overhead, and encourage non-sequential navigation. In this paper, we present our exploration of a lesser known effect of adaptive annotation, its ability to significantly increase students' motivation to work with non-mandatory educational content. We explored this effect and confirmed its significance in the context of two different adaptive hypermedia systems. The paper presents and discusses the results of our work

NASA space research and technology overview (ITP)

A series of viewgraphs summarizing NASA space research and technology is presented. Some of the specific topics covered include the organization and goals of the Office of Aeronautics and Space Technology, technology maturation strategy, integrated technology plan for the Civil Space Program, program selection and investment prioritization, and space technology benefits

The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System

Natural evolution has produced a tremendous diversity of functional organisms. Many believe an essential component of this process was the evolution of evolvability, whereby evolution speeds up its ability to innovate by generating a more adaptive pool of offspring. One hypothesized mechanism for evolvability is developmental canalization, wherein certain dimensions of variation become more likely to be traversed and others are prevented from being explored (e.g. offspring tend to have similarly sized legs, and mutations affect the length of both legs, not each leg individually). While ubiquitous in nature, canalization almost never evolves in computational simulations of evolution. Not only does that deprive us of in silico models in which to study the evolution of evolvability, but it also raises the question of which conditions give rise to this form of evolvability. Answering this question would shed light on why such evolvability emerged naturally and could accelerate engineering efforts to harness evolution to solve important engineering challenges. In this paper we reveal a unique system in which canalization did emerge in computational evolution. We document that genomes entrench certain dimensions of variation that were frequently explored during their evolutionary history. The genetic representation of these organisms also evolved to be highly modular and hierarchical, and we show that these organizational properties correlate with increased fitness. Interestingly, the type of computational evolutionary experiment that produced this evolvability was very different from traditional digital evolution in that there was no objective, suggesting that open-ended, divergent evolutionary processes may be necessary for the evolution of evolvability.Comment: SI can be found at: http://www.evolvingai.org/files/SI_0.zi

DATA ANALYTICS FOR CRISIS MANAGEMENT: A CASE STUDY OF SHARING ECONOMY SERVICES IN THE COVID-19 PANDEMIC

This dissertation study aims to analyze the role of data-driven decision-making in sharing economy during the COVID-19 pandemic as a crisis management tool. In the twenty-first century, when applying analytical tools has become an essential component of business decision-making, including operations on crisis management, data analytics is an emerging field. To carry out corporate strategies, data-driven decision-making is seen as a crucial component of business operations. Data analytics can be applied to benefit-cost evaluations, strategy planning, client engagement, and service quality. Data forecasting can also be used to keep an eye on business operations and foresee potential risks. Risk Management and planning are essential for allocating the necessary resources with minimal cost and time and to be ready for a crisis. Hidden market trends and customer preferences can help companies make knowledgeable business decisions during crises and recessions. Each company should manage operations and response during emergencies, a path to recovery, and prepare for future similar events with appropriate data management tools. Sharing economy is part of social commerce, that brings together individuals who have underused assets and who want to rent those assets short-term. COVID-19 has emphasized the need for digital transformation. Since the pandemic began, the sharing economy has been facing challenges, while market demand dropped significantly. Shelter-in-Place and Stay-at-Home orders changed the way of offering such sharing services. Stricter safety procedures and the need for a strong balance sheet are the key take points to surviving during this difficult health crisis. Predictive analytics and peer-reviewed articles are used to assess the pandemic\u27s effects. The approaches chosen to assess the research objectives and the research questions are the predictive financial performance of Uber & Airbnb, bibliographic coupling, and keyword occurrence analyses of peer-reviewed works about the influence of data analytics on the sharing economy. The VOSViewer Bibliometric software program is utilized for computing bibliometric analysis, RapidMiner Predictive Data Analytics for computing data analytics, and LucidChart for visualizing data