A Collaborative Computational Infrastructure for Supporting Technical Debt Knowledge Sharing and Evolution

Keeping information systems useful during their evolution is a complex task. This complexity usually comes from the lack of concern with their maintainability. The monitoring of technical debt (TD) is one way to minimize the effects of low maintainability. But even before developers can monitor the debt, they need to understand what TD types can be incurred, how they can be identified, and which causes can lead developers to incur them into the project. Nevertheless, despite the importance of to know what TD is, this knowledge is still spread out hindering a common understanding of the area. In this context, this paper presents TD Wiki, a collaborative computational infrastructure for supporting TD knowledge sharing and evolution through the using of knowledge visualization techniques. TD Wiki is already available for use and provides useful information that can be used when developing strategies for TD monitoring during the development of information systems

Network strategies for the new economy

In this paper we argue that the pace and scale of development in the information and communication technology industries (ICT) has had and continues to have major effects on the industry economics and competitive dynamics generally. We maintain that the size of changes in demand and supply conditions is forcing companies to make significant changes in the way they conceive and implement their strategies. We decompose the ICT industries into four levels, technology standards, supply chains, physical platforms, and consumer networks. The nature of these technologies and their cost characteristics coupled with higher degrees of knowledge specialisation is impelling companies to radical revisions of their attitudes towards cooperation and co-evolution with suppliers and customers. Where interdependencies between customers are particularly strong, we anticipate the possibility of winner-takes-all strategies. In these circumstances industry risks become very high and there will be significant consequences for competitive markets

The Role of the Private Sector in Training the Next Generation of Biomedical Scientists

Summarizes the proceedings of a conference to address the unique contribution that private funders can make in ensuring that appropriate and adequate training programs are available for basic and clinical research. Offers conclusions and recommendations

Conversations on a probable future: interview with Beatrice Fazi

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Governance in the age of social machines: the web observatory

The World Wide Web has provided unprecedented access to information; as humans and machines increasingly interact with it they provide more and more data. The challenge is how to analyse and interpret this data within the context that it was created, and to present it in a way that both researchers and practitioners can more easily make sense of. The first step is to have access to open and interoperable data sets, which Governments around the world are increasingly subscribing to. But having ‘open’ data is just the beginning and does not necessarily lead to better decision making or policy development. This is because data do not provide the answers – they need to be analysed, interpreted and understood within the context of their creation, and the business imperative of the organisation using them. The major corporate entities, such as Google, Amazon, Microsoft, Apple and Facebook, have the capabilities to do this, but are driven by their own commercial imperatives, and their data are largely siloed and held within ‘walled gardens’ of information. All too often governments and non-profit groups lack these capabilities, and are driven by very different mandates. In addition they have far more complex community relationships, and must abide by regulatory constraints which dictate how they can use the data they hold. As such they struggle to maximise the value of this emerging ‘digital currency’ and are therefore largely beholden to commercial vendors. What has emerged is a public-private data ecosystem that has huge policy implications (including the twin challenges of privacy and security). Many within the public sector lack the skills to address these challenges because they lack the literacy required within the digital context. This project seeks to address some of these problems by bringing together a safe and secure Australian-based data platform (facilitating the sharing of data, analytics and visualisation) with policy analysis and governance expertise in order to create a collaborative working model of a ‘Government Web Observatory’. This neutral space, hosted by an Australian university, can serve as a powerful complement to existing Open Data initiatives in Australia, and enable research and education to combine to support the development of a more digitally literate public service. The project aims to explore where, and in which contexts, people, things, data and the Internet meet and result in evolving observable phenomena which can inform better government policy development and service delivery.&nbsp

An economic and financial exploratory

This paper describes the vision of a European Exploratory for economics and finance using an interdisciplinary consortium of economists, natural scientists, computer scientists and engineers, who will combine their expertise to address the enormous challenges of the 21st century. This Academic Public facility is intended for economic modelling, investigating all aspects of risk and stability, improving financial technology, and evaluating proposed regulatory and taxation changes. The European Exploratory for economics and finance will be constituted as a network of infrastructure, observatories, data repositories, services and facilities and will foster the creation of a new cross-disciplinary research community of social scientists, complexity scientists and computing (ICT) scientists to collaborate in investigating major issues in economics and finance. It is also considered a cradle for training and collaboration with the private sector to spur spin-offs and job creations in Europe in the finance and economic sectors. The Exploratory will allow Social Scientists and Regulators as well as Policy Makers and the private sector to conduct realistic investigations with real economic, financial and social data. The Exploratory will (i) continuously monitor and evaluate the status of the economies of countries in their various components, (ii) use, extend and develop a large variety of methods including data mining, process mining, computational and artificial intelligence and every other computer and complex science techniques coupled with economic theory and econometric, and (iii) provide the framework and infrastructure to perform what-if analysis, scenario evaluations and computational, laboratory, field and web experiments to inform decision makers and help develop innovative policy, market and regulation designs. Graphical abstrac