64,274 research outputs found

    Discovery Is Never By Chance: Designing for (Un)Serendipity

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    Serendipity has a long tradition in the history of science as having played a key role in many significant discoveries. Computer scientists, valuing the role of serendipity in discovery, have attempted to design systems that encourage serendipity. However, that research has focused primarily on only one aspect of serendipity: that of chance encounters. In reality, for serendipity to be valuable chance encounters must be synthesized into insight. In this paper we show, through a formal consideration of serendipity and analysis of how various systems have seized on attributes of interpreting serendipity, that there is a richer space for design to support serendipitous creativity, innovation and discovery than has been tapped to date. We discuss how ideas might be encoded to be shared or discovered by ‘association-hunting’ agents. We propose considering not only the inventor’s role in perceiving serendipity, but also how that inventor’s perception may be enhanced to increase the opportunity for serendipity. We explore the role of environment and how we can better enable serendipitous discoveries to find a home more readily and immediately

    Epidemic Information Diffusion: A Simple Solution to Support Community-based Recommendations in P2P Overlays

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    Epidemic protocols proved to be very efficient solutions for supporting dynamic and complex information diffusion in highly dis- tributed computing infrastructures, like P2P environments. They are useful bricks for building and maintaining virtual network topologies, in the form of overlay networks as well as to support pervasive diffusion of information when it is injected into the network. This paper proposes a simple architecture exploiting the features of epidemic approaches to foster a collaborative percolation of information between computing nodes belonging to the network aimed at building a system that groups similar users and spread useful information among them.Comment: 8 pages, 2 figure

    Networked Individualism of Urban Residents: Discovering the Communicative Ecology in Inner-City Apartment Buildings

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    Certain patterns of interaction between people point to networks as an adequate conceptual model to characterise some aspects of social relationships mediated or facilitated by information and communication technology. Wellman proposes a shift from groups to networks and describes the ambivalent nature inherent in an ego-centric yet still well-connected portfolio of sociability with the term ‘networked individualism’. In this paper we use qualitative data from an action research study of social networks of residents in three inner-city apartment buildings in Australia to provide empirical grounding for the theoretical concept of networked individualism. However, this model focuses on network interaction rather than collective interaction. We propose ‘communicative ecology’ as a concept which integrates the three dimensions of "online and offline", "global and local" as well as "collective and networked". We present our research on three layers of interpretation (technical, social and discursive) to deliver a rich description of the communicative ecology we found, that is, the way residents negotiate membership, trust, privacy, reciprocity, permeability and social roles in person-to-person mediated and direct relationships. We find that residents seamlessly traverse between online and offline communication; local communication and interaction maintains a more prominent position than global or geographically dispersed communication; and residents follow a dual approach which allows them to switch between collective and networked interaction depending on purpose and context

    Development of pre-service mathematics teachers’ professional knowledge and identity in working with information and communication technology

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    This paper describes the work undertaken in a course in communication and information technology in a pre-service program for secondary school mathematics teachers. This course aimed to help pre-service teachers develop a positive attitude regarding ICT and use it confidently. It focused on the exploration of educational software and of the Internet’s potential as a means of research and production of web sites. We discuss how the pre-service mathematics teachers evaluate their work concerning their commitment, difficulties they found, learning they identified, and personal relationship. We also analyse the effects of the course on the development of their professional knowledge and identity

    Civil Society Iraq: Ethnic, Religious, and Location Influences on Outgroup Perception

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    Civil Society Iraq: Ethnic, Religious, and Location Influences on Outgroup Perception Jon Gresham* April 2004 A significant research question in the immediate post-war (May 2003) environment of Iraq was: "How do Iraqis’ ethnicity, religious affiliation, and location affect expressed perceptions of threat from outgroups?" We collected 479 surveys of Iraqi opinions, in five locations in Iraq, Jordan, and The Netherlands, with a single page instrument. Religion, ethnic origin, and location alone had little direct bearing on respondents’ attitudes towards outgroups or change (another type of threat) in Iraq. However, certain sets of interacting elements did reflect significant differences in perceptions of threat. For example, Shi’a Muslims of urban Basra had very different expressions towards return of expatriate Iraqis than did Baghdad residents. A serendipitous innovation was that of publishing our research process onto a "wiki" web page where visitors could add to or change contents of the documents. The wiki live publishing helped fellow scientists, decision-makers, resource agencies, and Iraq fieldworkers participate in our project. Why Civil Society? The term describes both behavior and social systems and provides a sociological framework from which to explore social interactions in Iraq. Follow-up is warranted. We found, for example, that "moderate Arabs" in Iraq were the most opposed to foreign involvement and were the most opposed to expatriate Iraqis returning to Iraq. This finding is relevant to decision-makers and field workers in relief, development, and reconstruction in Iraq. This paper describes our research process in a post-regime-change environment. I would welcome comments onto the web site: http://CivilSocietyIraq.seedwiki.com. _____________ * Jon Gresham is a visiting scholar at the University of Utrecht, Netherlands. His work focuses on the Cyprus-Syria-Iraq-Iran area. Special thanks are given to Hub Linssen, Assistant Professor at the University of Utrecht, with interest in cross-national comparative survey methodology

    Artificial Science – a simulation test-bed for studying the social processes of science

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    it is likely that there are many different social processes occurring in different parts of science and at different times, and that these processes will impact upon the nature, quality and quantity of the knowledge that is produced in a multitude of ways and to different extents. It seems clear to me that sometimes the social processes act to increase the reliability of knowledge (such as when there is a tradition of independently reproducing experiments) but sometimes does the opposite (when a closed clique act to perpetuate itself by reducing opportunity for criticism). Simulation can perform a valuable role here by providing and refining possible linkages between the kinds of social processes and its results in terms of knowledge. Earlier simulations of this sort include Gilbert et al. in [10]. The simulation described herein aims to progress this work with a more structural and descriptive approach, that relates what is done by individuals and journals and what collectively results in terms of the overall process

    The effects of travelling reasons on social media resources and tourist expectations

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    Esta investigación tiene como objetivo examinar la relación de las fuentes del contenido generado por el usuario (UGC) en las redes sociales, que proviene generalmente de fuentes de lazos fuertes y fuentes de lazos débiles, en la generación de expectativas turísticas sobre los recursos básicos y los recursos o factores de apoyo de los destinos. También se analiza el efecto moderador de las razones para viajar en la relación de las fuentes UGC y las expectativas turísticas. Para esta investigación, se recogieron 375 encuestas. Los resultados señalan que las razones o motivos del viaje son un factor importante a considerar en la generación de las expectativas turísticas, y en nuestro caso, el UGC que provenía de las fuentes de lazos débiles influyen de manera significativa en la generación de expectativas del turista cuando viaja por motivos de trabajo.This research aims to examine the relationship of user generated content (UGC) sources in social media which is provided by strong-tie sources and weak-tie sources on tourist expectations on core resources and factor supporting of the destinations, and also analyze the moderate effect of the reasons of travelling on the relationship of UGC sources and tourist expectations. 375 samples were collected. The results demonstrate that travelling reasons is an important factor to consider about the origin of tourist expectations. The UGC that was provided by weak-tie source has influence on tourist expectations when they travel with business reason

    Time-aware topic recommendation based on micro-blogs

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    Topic recommendation can help users deal with the information overload issue in micro-blogging communities. This paper proposes to use the implicit information network formed by the multiple relationships among users, topics and micro-blogs, and the temporal information of micro-blogs to find semantically and temporally relevant topics of each topic, and to profile users' time-drifting topic interests. The Content based, Nearest Neighborhood based and Matrix Factorization models are used to make personalized recommendations. The effectiveness of the proposed approaches is demonstrated in the experiments conducted on a real world dataset that collected from Twitter.com
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