Some Key Challenges for Data Literacy

We discuss the motivation for holding the Data Literacy workshop at ACM WebSci 2015 and the key challenges for advancing the praxis and research of data literacy that emerged: defining data literacy; establishing its importance; identifying beneficial projects and building a community

Continued Fractions and Probability Estimations in the Shor Algorithm -- A Detailed and Self-Contained Treatise

The algorithm of Shor for prime factorization is a hybrid algorithm consisting of a quantum part and a classical part. The main focus of the classical part is a continued fraction analysis. The presentation of this is often short, pointing to text books on number theory. In this contribution, we present the relevant results and proofs from the theory of continued fractions in detail (even in more detail than in text books) filling the gap to allow a complete comprehension of the algorithm of Shor. Similarly, we provide a detailed computation of the estimation of the probability that convergents will provide the period required for determining a prime factor.Comment: Quantum Algorithms, Quantum Computing, Continued Fractions, Hybrid Quantum Algorithm

When a Pandemic Enters the Game: The Initial and Prolonged Impact of the COVID-19 Pandemic on Live-Stream Broadcasters on Twitch

The global COVID-19 pandemic has accelerated the popularity of video games and online-gaming platforms. However, little research is devoted to understanding how the pandemic has affected gamers, especially live-stream broadcasters. Therefore, our study aimed to evaluate the impact the COVID-19 pandemic has had on established streamers on Twitch. By using a longitudinal time-series design and focusing on a large sample (N = 23,019) of broadcasters, we were able to determine the initial as well as prolonged effects of the pandemic on their streaming behavior. Our results suggest that the pandemic was a "game changer" for the target group, especially in regard to their choice of game settings and their focus on non-gaming content. Relating the data obtained from the target group of established streamers to the general platform data, we discuss the pandemic-related platform dynamics

SURVIVING POSSIBLE? A QUALITATIVE ANALYSIS OF THE CURRENT TRANSFORMATION PROCESSES IN THE GERMAN AUTOMOTIVE SUPPLIER INDUSTRY, DUE TO AUTONOMOUS AND ELECTRIC VEHICLES

The importance of the automotive industry for Germany’s economy and employment is significant: 24% of total revenue for manufacturing and processing goods is gained by the automotive industry in Germany with over 800,000 employees. As the supply side contributes 3/4 to the value chain, the research focuses on German automotive suppliers and how they perceive the shift from combustion engines to electric engines and to fully autonomous vehicles. For the explorative study, a qualitative content analysis based on expert interviews was used. 15 top and high-level managers from 14 German automotive suppliers were personally interviewed. The analysis has proven that most suppliers are significantly affected through these transformations. Only three suppliers evaluate the changes mainly as growth drivers for their business, while the rest faces large challenges and great threats from the industry developments.The importance of the automotive industry for Germany’s economy and employment is significant: 24% of total revenue for manufacturing and processing goods is gained by the automotive industry in Germany with over 800,000 employees. As the supply side contributes 3/4 to the value chain, the research focuses on German automotive suppliers and how they perceive the shift from combustion engines to electric engines and to fully autonomous vehicles. For the explorative study, a qualitative content analysis based on expert interviews was used. 15 top and high-level managers from 14 German automotive suppliers were personally interviewed. The analysis has proven that most suppliers are significantly affected through these transformations. Only three suppliers evaluate the changes mainly as growth drivers for their business, while the rest faces large challenges and great threats from the industry developments

When a Pandemic Enters the Game: The Initial and Prolonged Impact of the COVID-19 Pandemic on Live-Stream Broadcasters on Twitch

The global COVID-19 pandemic has accelerated the popularity of video games and online-gaming platforms. However, little research is devoted to understanding how the pandemic has affected gamers, especially live-stream broadcasters. Therefore, our study aimed to evaluate the impact the COVID-19 pandemic has had on established streamers on Twitch. By using a longitudinal time-series design and focusing on a large sample (N = 23,019) of broadcasters, we were able to determine the initial as well as prolonged effects of the pandemic on their streaming behavior. Our results suggest that the pandemic was a game changer for the target group, especially in regard to their choice of game settings and their focus on non-gaming content. Relating the data obtained from the target group of established streamers to the general platform data, we discuss the pandemic-related platform dynamics

A Computational Cognitive Model of Syntactic Priming

The psycholinguistic literature has identified two syntactic adaptation effects in language production: rapidly decaying short-term priming and long-lasting adaptation. To explain both effects, we present an ACT-R model of syntactic priming based on a wide-coverage, lexicalized syntactic theory that explains priming as facilitation of lexical access. In this model, two well-established ACT-R mechanisms, base-level learning and spreading activation, account for long-term adaptation and short-term priming, respectively. Our model simulates incremental language production and in a series of modeling studies we show that it accounts for (a) the inverse frequency interaction; (b) the absence of a decay in long-term priming; and (c) the cumulativity of long-term adaptation. The model also explains the lexical boost effect and the fact that it only applies to short-term priming. We also present corpus data that verifies a prediction of the model, i.e., that the lexical boost affects all lexical material, rather than just heads. Keywords: syntactic priming, adaptation, cognitive architectures, ACT-R, categorial grammar, incrementality