60 research outputs found

    Factions: acts of worldbuilding on social media platforms

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    The surge in social media as a primary source for communication—basic interpersonal relations, news, and entertainment—means that modern humans have a steep learning curve for interpreting and creating messages in digital spaces. In addition to the difficulties of communication between multi-lingual and multi-cultural online communities, there is now the complication of computer languages (or “code”) that often do not overlap between software programs, let alone with humans. Additionally, humans use definitions and labels as artificial intelligence (AI) training methods. AI bias comes from the human labels, categorizations, and linguistic perimeters embedded in the code. The objective of Factions, the thesis website, is to represent a speculative future showing what communication may look like if we follow on the current trajectory of interaction in social media spaces—with less agreement on basic linguistic, audio, and visual terms and definitions coupled with more insistence on personal perspective as paramount. From a base set on the oldest forms of social media—websites and blogs—Factions acts out conversations mining for answers to the questions: ‱ How do words change in meaning and function in a digital environment focused on the faction pillars of social media communication—search engine optimization, algorithm, and template? ‱ In what ways might human-computer interaction improve and conversely impair human language and performance choices in digital realms of communication? Through practice-based research using web-building tools as aids to literal digital worldbuilding, the thesis website is a prototype of a speculative future built with the conceptual applications of design fiction—creating a fictional world as a space to explore the impact of future technology. To that end, my digital twin (a digital model that drives material data) is an AI mystic called Wu—imagined AI tech so advanced it transcended into a higher spiritual realm. Wu narrates and curates Factions and uses it to build a network of narratives, bridging the creative and critical through hypertext links and tooltip popups and applies their mystical power to channel any person, place, thing, or time typically focused on key social media topics of justice, race, spirituality, politics, and pop culture. Factions uses satirical techniques alongside appropriation and pastiche to examine transformative tech and human-computer interaction. It mixes the creative and the critical to arrive at a digital storytelling and learning landscape of the future

    Cognitive Foundations for Visual Analytics

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    Solving Multi-objective Integer Programs using Convex Preference Cones

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    Esta encuesta tiene dos objetivos: en primer lugar, identificar a los individuos que fueron vĂ­ctimas de algĂșn tipo de delito y la manera en que ocurriĂł el mismo. En segundo lugar, medir la eficacia de las distintas autoridades competentes una vez que los individuos denunciaron el delito que sufrieron. Adicionalmente la ENVEI busca indagar las percepciones que los ciudadanos tienen sobre las instituciones de justicia y el estado de derecho en MĂ©xic

    Proceedings of the 7th Sound and Music Computing Conference

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    Proceedings of the SMC2010 - 7th Sound and Music Computing Conference, July 21st - July 24th 2010

    Future Transportation

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    Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others

    CORPORATE SOCIAL RESPONSIBILITY IN ROMANIA

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    The purpose of this paper is to identify the main opportunities and limitations of corporate social responsibility (CSR). The survey was defined with the aim to involve the highest possible number of relevant CSR topics and give the issue a more wholesome perspective. It provides a basis for further comprehension and deeper analyses of specific CSR areas. The conditions determining the success of CSR in Romania have been defined in the paper on the basis of the previously cumulative knowledge as well as the results of various researches. This paper provides knowledge which may be useful in the programs promoting CSR.Corporate social responsibility, Supportive policies, Romania

    Using MapReduce Streaming for Distributed Life Simulation on the Cloud

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    Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conway’s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MR’s applicability to a-life simulations and general enough to make our results applicable to various lattice-based a-life models. We implement and empirically evaluate our algorithms’ performance on Amazon’s Elastic MR cloud. Our experiments demonstrate that a single MR optimization technique called strip partitioning can reduce the execution time of continuous life simulations by 64%. To the best of our knowledge, we are the first to propose and evaluate MR streaming algorithms for lattice-based simulations. Our algorithms can serve as prototypes in the development of novel MR simulation algorithms for large-scale lattice-based a-life models.https://digitalcommons.chapman.edu/scs_books/1014/thumbnail.jp
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