CHORUS Deliverable 4.5: Report of the 3rd CHORUS Conference

The third and last CHORUS conference on Multimedia Search Engines took place from the 26th to the 27th of May 2009 in Brussels, Belgium. About 100 participants from 15 European countries, the US, Japan and Australia learned about the latest developments in the domain. An exhibition of 13 stands presented 16 research projects currently ongoing around the world

Structuring visual exploratory analysis of skill demand

The analysis of increasingly large and diverse data for meaningful interpretation and question answering is handicapped by human cognitive limitations. Consequently, semi-automatic abstraction of complex data within structured information spaces becomes increasingly important, if its knowledge content is to support intuitive, exploratory discovery. Exploration of skill demand is an area where regularly updated, multi-dimensional data may be exploited to assess capability within the workforce to manage the demands of the modern, technology- and data-driven economy. The knowledge derived may be employed by skilled practitioners in defining career pathways, to identify where, when and how to update their skillsets in line with advancing technology and changing work demands. This same knowledge may also be used to identify the combination of skills essential in recruiting for new roles. To address the challenges inherent in exploring the complex, heterogeneous, dynamic data that feeds into such applications, we investigate the use of an ontology to guide structuring of the information space, to allow individuals and institutions to interactively explore and interpret the dynamic skill demand landscape for their specific needs. As a test case we consider the relatively new and highly dynamic field of Data Science, where insightful, exploratory data analysis and knowledge discovery are critical. We employ context-driven and task-centred scenarios to explore our research questions and guide iterative design, development and formative evaluation of our ontology-driven, visual exploratory discovery and analysis approach, to measure where it adds value to users’ analytical activity. Our findings reinforce the potential in our approach, and point us to future paths to build on

The uses of qualitative data in multimethodology:Developing causal loop diagrams during the coding process

In this research note we describe a method for exploring the creation of causal loop diagrams (CLDs) from the coding trees developed through a grounded theory approach and using computer aided qualitative data analysis software (CAQDAS). The theoretical background to the approach is multimethodology, in line with Minger’s description of paradigm crossing and is appropriately situated within the Appreciate and Analyse phases of PSM intervention. The practical use of this method has been explored and three case studies are presented from the domains of organisational change and entrepreneurial studies. The value of this method is twofold; (i) it has the potential to improve dynamic sensibility in the process of qualitative data analysis, and (ii) it can provide a more rigorous approach to developing CLDs in the formation stage of system dynamics modelling. We propose that the further development of this method requires its implementation within CAQDAS packages so that CLD creation, as a precursor to full system dynamics modelling, is contemporaneous with coding and consistent with a bridging strategy of paradigm crossing

From Sensor to Observation Web with Environmental Enablers in the Future Internet

This paper outlines the grand challenges in global sustainability research and the objectives of the FP7 Future Internet PPP program within the Digital Agenda for Europe. Large user communities are generating significant amounts of valuable environmental observations at local and regional scales using the devices and services of the Future Internet. These communities’ environmental observations represent a wealth of information which is currently hardly used or used only in isolation and therefore in need of integration with other information sources. Indeed, this very integration will lead to a paradigm shift from a mere Sensor Web to an Observation Web with semantically enriched content emanating from sensors, environmental simulations and citizens. The paper also describes the research challenges to realize the Observation Web and the associated environmental enablers for the Future Internet. Such an environmental enabler could for instance be an electronic sensing device, a web-service application, or even a social networking group affording or facilitating the capability of the Future Internet applications to consume, produce, and use environmental observations in cross-domain applications. The term ?envirofied? Future Internet is coined to describe this overall target that forms a cornerstone of work in the Environmental Usage Area within the Future Internet PPP program. Relevant trends described in the paper are the usage of ubiquitous sensors (anywhere), the provision and generation of information by citizens, and the convergence of real and virtual realities to convey understanding of environmental observations. The paper addresses the technical challenges in the Environmental Usage Area and the need for designing multi-style service oriented architecture. Key topics are the mapping of requirements to capabilities, providing scalability and robustness with implementing context aware information retrieval. Another essential research topic is handling data fusion and model based computation, and the related propagation of information uncertainty. Approaches to security, standardization and harmonization, all essential for sustainable solutions, are summarized from the perspective of the Environmental Usage Area. The paper concludes with an overview of emerging, high impact applications in the environmental areas concerning land ecosystems (biodiversity), air quality (atmospheric conditions) and water ecosystems (marine asset management)

Data mining and cluster organisations : the case of PortugalFoods

Even though the concept of clusters received a considerable amount of attention, the literature dedicated to cluster organisations is still very scarce. On the other hand, the widely applicability of data mining to several industries, along with the benefits that it might bring to any organisation, have been the subject of various articles throughout the years. This dissertation intends to assess how could cluster organisations benefit from the application of data mining on the type of services they provide. Through the empirical study of a Portuguese cluster organisation – PortugalFoods – I analysed if data mining represents an opportunity for these governance bodies, particularly if applied as a new support tool on their market intelligence services. Supported by CRISP-DM methodology, and based on data provided by Mintel’s databases, a prototype data mining project was developed. The findings of this study indicate that data mining could enhance PortugalFoods’ market intelligence services, as well as their role as producers and disseminators of knowledge. Yet, challenges were also detected, due to the existence of several data’s problems, which could jeopardize the future replication of this process

Strengthening Governance of Small-Scale Fisheries: An Initial Assessment of the Theory and Practice

Preferred citation for this report: Basurto, X., Virdin, J., Smith, H. and R. Juskus. 2017. Strengthening Governance of Small-Scale Fisheries: An Initial Assessment of Theory and Practice. Oak Foundation.Often hidden in national statistics, small-scale fisheries have been poorly measured at a global level, and in thepast often ignored in states' policy-making. Yet estimates suggest their aggregate global contribution tonutrition, food security and poverty eradication is massive. The most recent estimates available suggest thatsmall-scale fisheries account for over 90 percent of the world's commercial fishers, processors and otherpersons employed along the value chain, equivalent to over 108 million people. Roughly half areemployed in the ocean and the other half in inland fisheries—making small-scale fisheries far and awaythe ocean's largest employer (greater than oil and gas, shipping, tourism, etc.). This level of activitytranslates into a large portion of the global fish catch: an estimated 46 percent of the total, and 38 percentof the fish caught in the ocean. SSFs are also estimated to provide over half the animal protein intake inmany of the world's least developed countries, and over half of the fish for domestic consumption indeveloping countries more broadly. In sum, in many regions of the world SSFs provide both incomes tohelp reduce poverty and safety nets to help prevent it

Influence of Institutional Environment and the Development of Social Enterprises in Nigeria

The concepts and models of social enterprise worldwide are increasingly attracting academic interests. The different typologies of explaining social enterprise are often attributed to the contextual development of the phenomenon. The organisational orientation towards resolution of social problems that are locally embedded in different environment necessitates empirical and contextual insights. While current research appears to focus on the influence of institutional (economic, legal, cultural, social) differences on social enterprises in some developed and emerging environments, there is lack of understanding of how the institutional factors, challenges, motivators and barriers influence empirical elucidations of social enterprises in developing countries. This study draws on neo-institutional standpoint to advance the understanding of how institutional arrangements (regulations, public policies, laws, socio-cultural understandings and processes) influence the conception and development of social enterprise in Nigeria. It is posited that Nigerian context presents an environment with weak formal institutional arrangements supporting social enterprises. his study adopted a qualitative research method to explore the influences of the institutional environmental factors on the development of social enterprises in Nigeria. The study sample included 31 social enterprises. Thirty-one interviews were conducted with Social Entrepreneurs in addition to two interviews with Regulatory Agency Executives in Nigeria. The study findings reveal that culture and religion plays an important role for the nature and character of social enterprises, while noting the key role military rule played in creating institutional apathy.Interestingly, the role of the nascent democracy and personal experiences (affliction and knowledge) of social entrepreneurs were key motivators engendering social consciousness and advocacy for civic reorientation and positive goals that create social and economic benefit to society. The absence of a coherent institutional delineation, structure, support, knowledge and regulatory framework for social enterprise are key findings emanating. Moreover, it is found that with increasing awareness of dwindling grant funding and need for multiple bottom line organisational goal, social enterprise are developing their commercial dimension, which is key to their sustainability. Still, results reinforce the primacy of social dimension to the conception which were focused on providing social and economic inclusion within the Nigerian environment. This study provides empirical insights that can help frame future research directions and provide a comparison across environments or done in another developing context. Within the understudied context, further research should focus on how social dimension/values are superseded by the needed to develop income generating component (economic dimension/values)and the tensions between both logics. Finally, an in-depth study of the legal frameworks in which social enterprises operate within the environment and its influence on the practice of the conception will strengthen understanding and ensure a more coherent mapping of the field of study

Leadership in complex networks: the importance of network position and strategic action in a translational cancer research network

BackgroundLeadership behaviour in complex networks is under-researched, and little has been written concerning leadership of translational research networks (TRNs) that take discoveries made ‘at the bench’ and translate them into practices used ‘at the bedside.’ Understanding leaders’ opportunities and behaviours within TRNs working to solve this key problem in implementing evidence into clinical practice is therefore important. This study explored the network position of governing body members and perceptions of their role in a new TRN in Sydney, Australia. The paper asks three questions: Firstly, do the formal, mandated leaders of this TRN hold key positions of centrality or brokerage in the informal social network of collaborative ties? Secondly, if so, do they recognise the leadership opportunities that their network positions afford them? Thirdly, what activities associated with these key roles do they believe will maximise the TRN’s success? MethodsSemi-structured interviews of all 14 governing body members conducted in early 2012 explored perceptions of their roles and sought comments on a list of activities drawn from review of successful transdisciplinary collaboratives combined with central and brokerage roles. An on-line, whole network survey of all 68 TRN members sought to understand and map existing collaborative connections. Leaders’ positions in the network were assessed using UCInet, and graphs were generated in NetDraw. ResultsSocial network analysis identified that governing body members had high centrality and high brokerage potential in the informal network of work-related ties. Interviews showed perceived challenges including ‘silos’ and the mismatch between academic and clinical goals of research. Governing body members recognised their central positions, which would facilitate the leadership roles of leading, making decisions, and providing expert advice necessary for the co-ordination of effort and relevant input across domains. Brokerage potential was recognised in their clearly understood role of representing a specialty, campus or research group on the governing body to provide strategic linkages. Facilitation, mentoring and resolving conflicts within more localised project teams were spoken of as something ‘we do all the time anyway,’ as well as something they would do if called upon. These leadership roles are all linked with successful collaborative endeavours in other fields. ConclusionsThis paper links the empirical findings of the social network analysis with the qualitative findings of the interviews to show that the leaders’ perceptions of their roles accord with both the potential inherent in their network positions as well as actual activities known to increase the success of transdisciplinary teams. Understanding this is key to successful TRNs

Engineering simulations for cancer systems biology

Computer simulation can be used to inform in vivo and in vitro experimentation, enabling rapid, low-cost hypothesis generation and directing experimental design in order to test those hypotheses. In this way, in silico models become a scientific instrument for investigation, and so should be developed to high standards, be carefully calibrated and their findings presented in such that they may be reproduced. Here, we outline a framework that supports developing simulations as scientific instruments, and we select cancer systems biology as an exemplar domain, with a particular focus on cellular signalling models. We consider the challenges of lack of data, incomplete knowledge and modelling in the context of a rapidly changing knowledge base. Our framework comprises a process to clearly separate scientific and engineering concerns in model and simulation development, and an argumentation approach to documenting models for rigorous way of recording assumptions and knowledge gaps. We propose interactive, dynamic visualisation tools to enable the biological community to interact with cellular signalling models directly for experimental design. There is a mismatch in scale between these cellular models and tissue structures that are affected by tumours, and bridging this gap requires substantial computational resource. We present concurrent programming as a technology to link scales without losing important details through model simplification. We discuss the value of combining this technology, interactive visualisation, argumentation and model separation to support development of multi-scale models that represent biologically plausible cells arranged in biologically plausible structures that model cell behaviour, interactions and response to therapeutic interventions