Evidence-informed regulatory practice: an adaptive response, 2005‑15

Overview: In this occasional paper, the ACMA reflects on its regulatory practice over the past 10 years; specifically, the role of research in evidence-informed decision-making and regulation. It looks at how the ACMA has used research in an environment of ongoing change to document and build evidence, inform public debate about regulation, and build capability among our stakeholders to make communications and media work in Australia’s national interest

Landscape Study in Wireless and Mobile Learning in the post-16 sector

In the post-16 sector (further and higher education, and adult and community learning) there is a need to understand how wireless and mobile technologies can contribute to improving the student experience of learning, and help institutions fulfil their missions in an age of incomparably fast technological change. In the context of this interest and growing need, a Landscape Study project was commissioned by JISC through the Innovation strand of the JISC e-Learning Programme in 2004-5. Our project aims were to take a birds-eye view of developments and practice in the UK and internationally, and to communicate our findings to a broad and varied audience. The Summary report is accompanied by 3 associated reports on 'Current Uses', 'Potential Uses' and 'Strategic Aspects'. (The four reports are available in one single document here.

Emerging technologies for learning (volume 1)

Collection of 5 articles on emerging technologies and trend

Mobile Car Rental System

This paper gives an overview of "M-commerce" approaches that allow car-rental companies in Malaysia to upgrade and optimize their business processes. First it addresses issues that are found in traditional car rental sector like slow turnaround and large amount of time needed to do reservation. Later it describes how these issues are solved using new mobile technology that provides true mobility, instant information and better customer service over traditional manual and wired online car rental business. To achieve a positive result author applied prototyping methodology tliroughout this project that quickly provides a system for the users to interact with. The successful result in the end of this project proved that mobile technology can easily and efficiently be applied to businesses that provide services, such as car rental companies. However drawbacks were also found, which are small memory, limited functionality and limited content of mobile devices that can be eliminated in future with new developments of wireless devices and communication infrastructures. Finally this project paper highlights the result of research and development activity that was carried out to develop new system, which will benefit car-rental companies in a way increasing number of customers, reducing operating cost and finally making them more competitive in our rushing world

A Qualitative Evaluation of IoT-driven eHealth: Knowledge Management, Business Models and Opportunities, Deployment and Evolution

eHealth has a major potential, and its adoption may be considered necessary to achieve increased ambulant and remote medical care, increased quality, reduced personnel needs, and reduced costs potential in healthcare. In this paper the authors try to give a reasonable, qualitative evaluation of IoT-driven eHealth from theoretical and practical viewpoints. They look at associated knowledge management issues and contributions of IoT to eHealth, along with requirements, benefits, limitations and entry barriers. Important attention is given to security and privacy issues. Finally, the conditions for business plans and accompanying value chains are realistically analyzed. The resulting implementation issues and required commitments are also discussed based on a case study analysis. The authors confirm that IoT-driven eHealth can happen and will happen; however, much more needs to be addressed to bring it back in sync with medical and general technological developments in an industrial state-of-the-art perspective and to get recognized and get timely the benefits

Incentive Mechanisms for Participatory Sensing: Survey and Research Challenges

Participatory sensing is a powerful paradigm which takes advantage of smartphones to collect and analyze data beyond the scale of what was previously possible. Given that participatory sensing systems rely completely on the users' willingness to submit up-to-date and accurate information, it is paramount to effectively incentivize users' active and reliable participation. In this paper, we survey existing literature on incentive mechanisms for participatory sensing systems. In particular, we present a taxonomy of existing incentive mechanisms for participatory sensing systems, which are subsequently discussed in depth by comparing and contrasting different approaches. Finally, we discuss an agenda of open research challenges in incentivizing users in participatory sensing.Comment: Updated version, 4/25/201

Challenges in Complex Systems Science

FuturICT foundations are social science, complex systems science, and ICT. The main concerns and challenges in the science of complex systems in the context of FuturICT are laid out in this paper with special emphasis on the Complex Systems route to Social Sciences. This include complex systems having: many heterogeneous interacting parts; multiple scales; complicated transition laws; unexpected or unpredicted emergence; sensitive dependence on initial conditions; path-dependent dynamics; networked hierarchical connectivities; interaction of autonomous agents; self-organisation; non-equilibrium dynamics; combinatorial explosion; adaptivity to changing environments; co-evolving subsystems; ill-defined boundaries; and multilevel dynamics. In this context, science is seen as the process of abstracting the dynamics of systems from data. This presents many challenges including: data gathering by large-scale experiment, participatory sensing and social computation, managing huge distributed dynamic and heterogeneous databases; moving from data to dynamical models, going beyond correlations to cause-effect relationships, understanding the relationship between simple and comprehensive models with appropriate choices of variables, ensemble modeling and data assimilation, modeling systems of systems of systems with many levels between micro and macro; and formulating new approaches to prediction, forecasting, and risk, especially in systems that can reflect on and change their behaviour in response to predictions, and systems whose apparently predictable behaviour is disrupted by apparently unpredictable rare or extreme events. These challenges are part of the FuturICT agenda

Making sense of wearables:new-emerging markets and mediascapes

This document reports on the events of the networking/embedding event, organised by the Epinet WP3 team in Brussels Nov 2013. It summarises observations and key findings. The aim of the event was to involve the expertise of professionals from a range public and private agencies involved in the development of wearable sensor technologies and ICT innovation policy. We learn from their input of new-emerging roles for wearable sensors, how they are situated in visions of the future of healthcare and self care, of changing lifestyles and occupations. We learn of complications in clinical practice and in medical devices regulation. We learn of expectations, of what personalisation can stand for, of conceptions of behaviour and of well-being more generally. Finally, we observe a distinct disconnect between top-down policy developments on the future delivery of personalised healthcare to European citizens and grass-roots developments in self care and in the self-management of medical conditions. The results of this consultation are key to finalising the embedding stage of the case study on wearable sensors, and they provide major input into our attempts to integrating the many different assessments of this innovation domain