MODUL University Vienna is a private university established in 2007 in Vienna, Austria, focusing on social and economic development, particularly in the areas of tourism, new media information technology, sustainability, business management, and public governance.The university consists of four departments: the Department of New Media Technology , the Department of Public Governance and Sustainable Development , the Department of Tourism and Service Management , and the Department of Applied Statistics and Economics .All study programs fulfill the accreditation requirements laid out by the Agency for Quality Assurance and Accreditation Austria . Due to the university’s international orientation, all study programs are conducted entirely in English. As of 2013, the support ratio stands at 1:10 . Students from 71 countries have studied at MU Vienna on top of Vienna’s Kahlenberg, which overlooks the city of Vienna. Approximately 60% percent of the student body holds non-Austrian citizenship, with a higher percentage of international students at the master’s level.In 2012, the BBA in Tourism and Hospitality Management and the MSc in International Tourism Management were awarded UNWTO.TEDQual Certification. In January 2013, MU joined the European Universities Consortium , a group of higher education institutions that promotes English-taught Bachelor’s programs in Europe. Wikipedia.
Agency: European Commission | Branch: FP7 | Program: NOE | Phase: ICT-2009.4.3 | Award Amount: 3.69M | Year: 2010
PlanetData aims to establish a sustainable European community of researchers that supports organizations in exposing their data in new and useful ways. The ability to effectively and efficiently make sense out of the enormous amounts of data continuously published online, including data streams, (micro)blog posts, digital archives, eScience resources, public sector data sets, and the Linked Open Data Cloud, is a crucial ingredient for Europes transition to a knowledge society. It allows businesses, governments, communities and individuals to take decisions in an informed manner, ensuring competitive advantages, and general welfare. Research will concentrate on three key challenges that need to be addressed for effective data exposure in a usable form at global scale. We will provide representations for stream-like data, and scalable techniques to publish, access and integrate such data sources on the Web. We will establish mechanisms to assess, record, and, where possible, improve the quality of data through repair. To further enhance the usefulness of data - in particular when it comes to the effectiveness of data processing and retrieval - we will define means to capture the context in which data is produced and understood - including space, time and social aspects. Finally, we will develop access control mechanisms - in order to attract exposure of certain types of valuable data sets, it is necessary to take proper account of its owners concerns to maintain control and respect for privacy and provenance, while not hampering non-contentious use. We will test all of the above on a highly scalable data infrastructure, supporting relational, RDF, and stream processing, and on novel data sets exposed through the network, and derive best practices for data owners. By providing these key precursors, complemented by a comprehensive training, dissemination, standardization and networking program, we will enable and promote effective exposure of data at planetary scale.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.1.5 | Award Amount: 8.45M | Year: 2011
TV and the Internet are going through an exciting phase of convergence, with TV being delivered on-demand via the Web while access to Web content is ever more a part of the TV experience. The European project Television Linked To The Web (LinkedTV) will bring this convergence to its fulfillment, neatly interweaving TV and Web content into a single, integrated experience. \nThe Networked Media Web is a vision of a future media landscape in which online devices are ubiquituous and media is stored in and accessed from the cloud. In this future world, television becomes just one more media source next to Web based media and other sources (e.g. home networks, shared private networks, Intranets). Citizens will choose and interact with any media at any time with any device, also switching between content easily and seamlessly. The Social TV revolution happening now shows how people want to enrich their media experience through sharing with friends and interacting during the programme. Linked TV is the next step, bringing the rich browsing experience people know already from the Web to television, enriching the access to audio-visual programming with associated content and allowing people to seamlessly delve into and browse content within the programme itself at the level of individual objects on screen or things which are mentioned or referred to. \nTo achieve this ambitious goal of uniting the television experience with the Web experience, the LinkedTV project will develop several technologies and tools to analyse and annotate audio-visual content, interlink parts of the content with other content, deliver this enriched audio-visual content via different networks to the end user and provide intuitive user interfaces on the end device to allow easy access to and browsing of related content within the programme. These technologies and tools will be prototyped and tested by a public broadcaster, national media archive and a media arts centre to enrich the TV experience in the contexts of business, environment, cultural heritage and entertainment. \nAs a result, Television Linked To The Web (LinkedTV) will provide every citizen a new, integrated, media experience which is both unlike the Web as we know it today and television as we know it today, yet combining the best of both: quality on-demand audio-visual material enriched with links to other content which is easily accessed and enhancing our networked media experience.
Agency: European Commission | Branch: FP7 | Program: CSA | Phase: ICT-2011.4.4 | Award Amount: 998.34K | Year: 2012
While we have already established, traditional markets for complete videos, e.g. in stock footage portals, media libraries or TV archives, where entire videos may be found and also purchased for re-use in new media production situations, these markets do not permit the easy purchase or sale of smaller fragments of AV materials. The MediaMixer CA will address this deficit by showing the vision of a media fragment market (the MediaMixer) to the European media production, library, TV archive, news production, e-learning and UGC portal industries. We will demonstrate the achievable benefits enabled by the creation, repurposing and reuse of digital contents across borders on the Web, where media fragments are intelligent digital objects, identified and classified at a highly granular degree, integrated with knowledge management, and connected at Web-scale.\nThe objective of MediaMixer is to set up and sustain a community of video producers, hosters, and redistributors who will be supported in the adoption of semantic multimedia technology in their systems and workflows to build a European market for media fragment re-purposing and re-selling. Networking with the community will ensure that research results and technology development truly meets the industry requirements and reflects real world use cases. Demonstrators in media production, news reporting and e-learning will highlight the technology value, with a wider impact achieved through the support of media industry experts and associations to present these results to their members. A number of events will be organised to network the industry members with the research experts of MediaMixer and facilitate technology transfer (by information days and training), and an online portal will drive the geographically distributed community and act as a central access point to tools, materials, use cases, demos and presentations.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.5.5 | Award Amount: 2.69M | Year: 2013
A lack of collective awareness negatively impacts perceived personal efficacy, which hampers efforts to address societal problems. DecarboNet is a multidisciplinary effort to tackle this problem by identifying determinants of collective awareness, translating awareness into behavioural change, and providing novel methods to analyse and visualise the underlying processes. The projects core innovations are built around a context-specific repository of carbon reduction strategies. This decarbonisation methodology will increase awareness not only of existing problems, but also of best-practice solutions and the impact of individual actions. To continuously refine this repository, the collective awareness platform of DecarboNet will utilise citizen-generated content in a societal feedback loop that enables an adaptive process of social innovation.\n\nSupporting and understanding this process at various levels of granularity requires significant technological advances, including (i) generic tools to co-create knowledge with on-the-fly recommendations of related content from multiple sources; (ii) a cross-platform social media application to provide eco-feedback and engage citizens in games with a purpose; and (iii) methods to measure and predict behavioural change, and to capture collective awareness in a quantitative framework based on diffusion models and resonance patterns in public discourse.\n\nTo assess engagement strategies, two use cases will contrast the effectiveness of competition-based and cooperative approaches in a grassroots experiment to measure energy consumption (Energy Quest) and a large-scale awareness campaign (Earth Hour). Analysing the results on the individual and collective level will provide actionable knowledge for a wide range of stakeholders. Associate partners including EEA, NOAA and the World Bank will provide a rich stream of input data and amplify the impact by promoting the adoption of project technologies among large user communities.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.4.1 | Award Amount: 4.27M | Year: 2014
Social media poses three major computational challenges, dubbed by Gartner the 3Vs of big data: volume, velocity, and variety. Content analytics methods have faced additional difficulties, arising from the short, noisy, and strongly contextualised nature of social media. In order to address the 3Vs of social media, new language technologies have emerged, e.g. using locality sensitive hashing to detect breaking news stories from media streams (volume), predicting stock market movements from microblog sentiment (velocity), and recommending blogs and news articles based on user content (variety).PHEME will focus on a fourth crucial, but hitherto largely unstudied, challenge: veracity. It will model, identify, and verify phemes (internet memes with added truthfulness or deception), as they spread across media, languages, and social networks.PHEME will achieve this by developing novel cross-disciplinary social semantic methods, combining document semantics, a priori large-scale world knowledge (e.g. Linked Open Data) and a posteriori knowledge and context from social networks, cross-media links and spatio-temporal metadata. Key novel contributions are dealing with multiple truths, reasoning about rumour and the temporal validity of facts, and building longitudinal models of users, influence, and trust.Results will be validated in two high-profile case studies: healthcare and digital journalism. The techniques will be generic with many business applications, e.g. brand and reputation management, customer relationship management, semantic search and knowledge management. In addition to its high commercial relevance, PHEME will also benefit society and citizens by enabling government organisations to keep track of and react to rumours spreading online.PHEME addresses Objective ICT-2013.4.1 Content analytics and language technologies; a) cross-media analytics.
Sedlacek S.,MODUL University Vienna
Journal of Cleaner Production | Year: 2013
Universities have a key influence on society in a two-fold manner: they train and educate people and they participate in governance at the national and regional level. This paper focuses on universities and how they function to foster sustainable development. It identifies their actual and potential roles in fulfilling educational, research, governance, and economic development functions, as well as facilitative and mediating functions. A set of seven hypotheses has been derived from the literature and used to develop an analytical framework for considering the three main functions: education, research and governance. The framework distinguishes the individual and the societal educational functions, knowledge creation and knowledge transfer within the research function, and finally the internal and external governance functions. This framework has been applied to a particular case study - the University of Graz, which hosts a Regional Centre of Expertise on Education for Sustainable Development. The case study analysis allowed a first test of the hypotheses. For this specific case a couple of prerequisites were identified as helping universities act as facilitators for sustainable development at the regional level. A diverse institutional set-up, a committed leadership as well as alliances with particular bridging organizations such as the Regional Centres of Expertise on Education for Sustainable Development are only a few of the factors that were found to be facilitative in the case under study. © 2013 Elsevier Ltd. All rights reserved.
Ceddia M.G.,MODUL University Vienna
Environmental and Resource Economics | Year: 2012
The paper analyses the management of an infectious disease in a sympatric metapopulation, under both Nash and cooperative behaviour, through the development of a differential game and an optimal control problem with connected local state variables. As pathogens are renewable resources with negative value, the problem may be non-convex. Since the disease can be transmitted across various connected populations, externalities may be involved. A numerical application is presented, with reference to a livestock disease that can be transmitted between herds on common pastures. The results suggest that optimal eradication in finite time should be pursued when possible. However, optimal eradication is not always feasible (sometimes eradication can be only achieved asymptotically), and the ecology of the disease is of paramount importance in this respect. Also, convergence to an internal steady-state does not minimise the present value of the disease damage and control cost (a result consistent with the existing literature). Ignoring these results may lead to inadequate policy design. © 2012 Springer Science+Business Media B.V.
Ceddia M.G.,MODUL University Vienna |
Bardsley N.O.,University of Reading |
Gomez-Y-Paloma S.,European Commission |
Sedlacek S.,MODUL University Vienna
Proceedings of the National Academy of Sciences of the United States of America | Year: 2014
In this paper we address two topical questions: How do the quality of governance and agricultural intensification impact on spatial expansion of agriculture? Which aspects of governance are more likely to ensure that agricultural intensification allows sparing land for nature? Using data from the Food and Agriculture Organization, the World Bank, the World Database on Protected Areas, and the Yale Center for Environmental Law and Policy, we estimate a panel data model for six South American countries and quantify the effects of major determinants of agricultural land expansion, including various dimensions of governance, over the period 1970- 2006. The results indicate that the effect of agricultural intensification on agricultural expansion is conditional on the quality and type of governance. When considering conventional aspects of governance, agricultural intensification leads to an expansion of agricultural area when governance scores are high. When looking specifically at environmental aspects of governance, intensification leads to a spatial contraction of agriculture when governance scores are high, signaling a sustainable intensification process.
Agency: European Commission | Branch: H2020 | Program: ERC-COG | Phase: ERC-CoG-2015 | Award Amount: 1.95M | Year: 2016
Tropical deforestation is an important contributor to climate change, through the release of significant amounts of carbon in the atmosphere. The main proximate cause of deforestation in tropical regions is agricultural expansion, followed by timber extraction. The general objective of this research is to understand how the interaction of technological, environmental, economic and social factors influence land use dynamics, including household decisions, about agricultural expansion and resource extraction in sensitive tropical regions. More specific questions relate to the role of various governance structures, particularly those recognizing common property regimes of land tenure to indigenous and rural communities, and the deliberative evaluation about the opportunity of reforming such structures in order to reduce deforestation and forest degradation. Although such aspects have been addressed in a variety of contexts, the approach proposed here is novel as a) it explicitly models the interaction between institutional, environmental, technological and socio-economic factors at different spatio-temporal scales, b) it specifically focuses on the governance structures associated with different land tenure regimes through the lenses of Social Network Analysis (SNA), c) uses a Q-methodology framework to develop a participatory approach to study stakeholders perspectives and attitudes on the necessary governance interventions to prevent deforestation and forest degradation and d) it assesses the relationships between agricultural expansion, deforestation, governance structures and stakeholders attitudes, with particular attention to the sensitivity of household land use decisions and resource extraction. In order to meet the research objectives, this project will focus on the province of Salta in the dry Chaco in North-Western Argentina, a region characterized by high rates of land cover change and the presence of indigenous/rural communities.
News Article | December 14, 2016
Research at MODUL University Vienna shows value of Google Analytics' data for predicting tourist numbers