847 resultados para Community public relations


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Population growth is always increasing, and thus the concept of smart and cognitive cities is becoming more important. Developed countries are aware of and working towards needed changes in city management. However, emerging countries require the optimization of their own city management. This chapter illustrates, based on a use case, how a city in an emerging country can quickly progress using the concept of smart and cognitive cities. Nairobi, the capital of Kenya, is chosen for the test case. More than half of the population of Nairobi lives in slums with poor sanitation, and many slum inhabitants often share a single toilet, so the proper functioning and reliable maintenance of toilets are crucial. For this purpose, an approach for processing text messages based on cognitive computing (using soft computing methods) is introduced. Slum inhabitants can inform the responsible center via text messages in cases when toilets are not functioning properly. Through cognitive computer systems, the responsible center can fix the problem in a quick and efficient way by sending repair workers to the area. Focusing on the slum of Kibera, an easy-to-handle approach for slum inhabitants is presented, which can make the city more efficient, sustainable and resilient (i.e., cognitive).

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Synchronizing mind maps with fuzzy cognitive maps can help to handle complex problems with many involved stakeholders by taking advantage of human creativity. The proposed approach has the capacity to instantiate cognitive cities by including cognitive computing. A use case in the context of decision-finding (concerning a transportation system) is presented to illustrate the approach.

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Die Schweizer ICT-Verbands- und Politiklandschaft ist verworren. Der folgende Ueberblick ueber ICT-Verbaende, Lobbying-Organisationen, Politiker und ICT-Themen soll etwas Licht ins Dickicht bringen. Der Artikel hat weder Anspruch auf Vollstaendigkeit noch auf Neutralitaet, versucht aber dennoch einen moeglichst ausgeglichenen Einblick zu schaffen.

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The concept of digital sustainability is mentioned in research on digital preservation as well as on openness topics. Both streams of literature point out the necessary discussion how to create, use, and regulate digital resources in order to maximize their value for our society today and in the future. This paper therefore reviews current work on digital sustainability, presents a list of six charac-teristics how to define digitally sustainable goods, and draws the link to aspects of e-government.

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Wer Computerprogramme schreiben kann, gestaltet die digitale Welt mit – alle anderen sind abhaengige Konsumenten. Deshalb sollten am besten schon Kinder die Kulturtechnik des Programmierens lernen. Entscheidend ist ausserdem, dass wir ueberhaupt mitschreiben duerfen – dafuer setzen sich die verschiedenen «Open»-Bewegungen ein.

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It is a challenge to measure the impact of releasing data to the public since the effects may not be directly linked to particular open data activities or substantial impact may only occur several years after publishing the data. This paper proposes a framework to assess the impact of releasing open data by applying the Social Return on Investment (SROI) approach. SROI was developed for organizations intended to generate social and environmental benefits thus fitting the purpose of most open data initiatives. We link the four steps of SROI (input, output, outcome, impact) with the 14 high-value data categories of the G8 Open Data Charter to create a matrix of open data examples, activities, and impacts in each of the data categories. This Impact Monitoring Framework helps data providers to navigate the impact space of open data laying out the conceptual basis for further research.

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The Sustainable Development Goals (SDGs) present the new global agenda by the United Nations for the next 15 years from 2016 to 2030. In this research paper we examine how digital resources may contribute to the achievement of the SDGs. Based on a broad literature review we argue functional digital sustainability supports the SDGs while discrete digital sustainability is required to create and progress knowledge necessary to advance the SDGs. First we explain the perspectives of functional and discrete sustainability; secondly we map the two perspectives onto the 17 SDGs with examples incorporating both perspectives of digital sustainability. We conclude that digital sustainability should encompass both perspectives in order to exploit the full potential of information systems in regard to sustainability transformations.

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Ende des 18. Jahrhunderts veraenderte die Dampfmaschine den Transportsektor, die Produktion und viele andere Bereiche der Wirtschaft grundlegend. Aufgrund der Erfindung der Spinnmaschinen konnte die Garnproduktion um ein Vielfaches erhoeht werden, mit Wasser und Dampf konnten Webmaschinen betrieben werden, der Wohlstand der Bevoelkerung wuchs. Gleichzeitig verloren viele Arbeiter ihre Jobs als Spinner, Weber oder Faerber, es gab Proteste und Aufstaende. Nach dieser ersten industriellen Revolution folgte mit der Elektrifizierung Ende 19. Jahrhundert die zweite Revolution. Wieder gewann die Gesellschaft als Ganzes an Wohlstand, aber viele Menschen verloren ihr Einkommen. Die dritte industrielle Revolution folgte Ende des 20. Jahrhunderts mit den Informationstechnologien. Und nur wenig spaeter befinden wir uns bereits an der Schwelle zur vierten industriellen Revolution, der Vernetzung physischer und digitaler Systeme.

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Die Finanzfluesse in oeffentlichen Haushalten sind heute hochkomplexe Gebilde. Mit interaktiven Visualisierungen können oeffentliche Finanzen transparenter und verstaendlicher werden. Diese sogenannten Open Finance Apps helfen mit, dass sich Bevoelkerung und Politik rasch ein objektives Bild der relevanten Finanzen verschaffen und vertiefte Informationen abrufen koennen. Immer haeufiger werden Open Finance Apps auch für partizipative und kollaborative Projekte eingesetzt.

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Kurzfristiges Denken und schaedliche Abhaengigkeiten dominieren nicht nur die physische, sondern auch die digitale Welt. Die Prinzipien der Nachhaltigkeit muessen deshalb auch hier umgesetzt werden, fordert Matthias Stuermer – und zeigt, wie das geht.

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Open innovation is increasingly being adopted in business and describes a situation in which firms exchange ideas and knowledge with external participants, such as customers, suppliers, partner firms, and universities. This article extends the concept of open innovation with a push model of open innovation: knowledge is voluntarily created outside a firm by individuals and organisations who proceed to push knowledge into a firm’s open innovation project. For empirical analysis, we examine source code and newsgroup data on the Eclipse Development Platform. We find that outsiders invest as much in the firm’s project as the founding firm itself. Based on the insights from Eclipse, we develop four propositions: ‘preemptive generosity’ of a firm, ‘continuous commitment’, ‘adaptive governance structure’, and ‘low entry barrier’ are contexts that enable the push model of open innovation.

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Research on open source software (OSS) projects often focuses on the SourceForge collaboration platform. We argue that a GNU/Linwr distribution, such as Debian, is better suited for the sampling ofprojects because it avoids biases and contains unique information only available in an integrated environment. Especially research on the reuse of components can build on dependency information inherent in the Debian GNU/Linux packaging system. This paper therefore contributes to the practice of sampling methods in OSS research and provides empirical data on reuse dependencies in Debian.

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Index tracking has become one of the most common strategies in asset management. The index-tracking problem consists of constructing a portfolio that replicates the future performance of an index by including only a subset of the index constituents in the portfolio. Finding the most representative subset is challenging when the number of stocks in the index is large. We introduce a new three-stage approach that at first identifies promising subsets by employing data-mining techniques, then determines the stock weights in the subsets using mixed-binary linear programming, and finally evaluates the subsets based on cross validation. The best subset is returned as the tracking portfolio. Our approach outperforms state-of-the-art methods in terms of out-of-sample performance and running times.