13,688 research outputs found

    Drawing Elena Ferrante's Profile. Workshop Proceedings, Padova, 7 September 2017

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    Elena Ferrante is an internationally acclaimed Italian novelist whose real identity has been kept secret by E/O publishing house for more than 25 years. Owing to her popularity, major Italian and foreign newspapers have long tried to discover her real identity. However, only a few attempts have been made to foster a scientific debate on her work. In 2016, Arjuna Tuzzi and Michele Cortelazzo led an Italian research team that conducted a preliminary study and collected a well-founded, large corpus of Italian novels comprising 150 works published in the last 30 years by 40 different authors. Moreover, they shared their data with a select group of international experts on authorship attribution, profiling, and analysis of textual data: Maciej Eder and Jan Rybicki (Poland), Patrick Juola (United States), Vittorio Loreto and his research team, Margherita Lalli and Francesca Tria (Italy), George Mikros (Greece), Pierre Ratinaud (France), and Jacques Savoy (Switzerland). The chapters of this volume report the results of this endeavour that were first presented during the international workshop Drawing Elena Ferrante's Profile in Padua on 7 September 2017 as part of the 3rd IQLA-GIAT Summer School in Quantitative Analysis of Textual Data. The fascinating research findings suggest that Elena Ferrante\u2019s work definitely deserves \u201cmany hands\u201d as well as an extensive effort to understand her distinct writing style and the reasons for her worldwide success

    Can Computers Create Art?

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    This essay discusses whether computers, using Artificial Intelligence (AI), could create art. First, the history of technologies that automated aspects of art is surveyed, including photography and animation. In each case, there were initial fears and denial of the technology, followed by a blossoming of new creative and professional opportunities for artists. The current hype and reality of Artificial Intelligence (AI) tools for art making is then discussed, together with predictions about how AI tools will be used. It is then speculated about whether it could ever happen that AI systems could be credited with authorship of artwork. It is theorized that art is something created by social agents, and so computers cannot be credited with authorship of art in our current understanding. A few ways that this could change are also hypothesized.Comment: to appear in Arts, special issue on Machine as Artist (21st Century

    Profiling a decade of information systems frontiers’ research

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    This article analyses the first ten years of research published in the Information Systems Frontiers (ISF) from 1999 to 2008. The analysis of the published material includes examining variables such as most productive authors, citation analysis, universities associated with the most publications, geographic diversity, authors’ backgrounds and research methods. The keyword analysis suggests that ISF research has evolved from establishing concepts and domain of information systems (IS), technology and management to contemporary issues such as outsourcing, web services and security. The analysis presented in this paper has identified intellectually significant studies that have contributed to the development and accumulation of intellectual wealth of ISF. The analysis has also identified authors published in other journals whose work largely shaped and guided the researchers published in ISF. This research has implications for researchers, journal editors, and research institutions

    A single journal study : Malaysian Journal of Computer Science

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    Single journal studies are reviewed and measures used in the studies are highlighted. The following quantitative measures are used to study 272 articles published in Malaysian Journal of Computer Science, (1) the article productivity of the journal from 1985 to 2007, (2) the observed and expected authorship productivity tested using Lotka's Law of author productivity, identification and listing of core authors; (3) the authorship, co-authorship pattern by authors' country of origin and institutional affiliations; (4) the subject areas of research; (5) the citation analysis of resources referenced as well as the age and half-life of citations; the journals referenced and tested for zonal distribution using Bradford's law of journal scattering; the extent of web citations; and (6) the citations received by articles published in MJCS and impact factor of the journal based on information obtained from Google Scholar, the level of author and journal self-citation

    Patent Law, Copyright Law, and the Girl Germs Effect

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    [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

    Visualizing Gender Balance in Conferences

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    Data visualization is a powerful tool for digital scholarship yet not without its pitfalls. Based on the dissertation “Visualizing Gender Balance” comparing ten computer science conferences, several visualization techniques and tools undergo a critical review. The dataset underlying the visualizations contains data researchers encounter daily: bibliographic information. Analyzing larger sets of authors writing and publishing for conferences in computer science changes our perception of the gender (im)balance in this academic research area. But only a careful curation and visualization can truly reveal what goes on behind the scenes. Still the more complicated, detailed and nuanced the visualization, the harder it becomes for an untrained eye to interpret the patterns
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