The Management and Use of Social Network Sites in a Government Department

In this paper we report findings from a study of social network site use in a UK Government department. We have investigated this from a managerial, organisational perspective. We found at the study site that there are already several social network technologies in use, and that these: misalign with and problematize organisational boundaries; blur boundaries between working and social lives; present differing opportunities for control; have different visibilities; have overlapping functionality with each other and with other information technologies; that they evolve and change over time; and that their uptake is conditioned by existing infrastructure and availability. We find the organisational complexity that social technologies are often hoped to cut across is, in reality, something that shapes their uptake and use. We argue the idea of a single, central social network site for supporting cooperative work within an organisation will hit the same problems as any effort of centralisation in organisations. We argue that while there is still plenty of scope for design and innovation in this area, an important challenge now is in supporting organisations in managing what can best be referred to as a social network site 'ecosystem'.Comment: Accepted for publication in JCSCW (The Journal of Computer Supported Cooperative Work

Analysis of Emerging Reputation and Funding Mechanisms in the Context of Open Science 2.0

This report covers the outcomes of two studies funded by JRC IPTS to explore emerging drivers for Open Science 2.0. In general, Open Science 2.0 is associated with themes such as open access to scientific outputs, open data, citizen science and open peer evaluation systems. This study, however, focused on less explored themes, namely on alternative funding mechanisms for scientific research and on emerging reputation mechanisms for scholars resulting from Web 2.0 platforms and applications. It has been demonstrated that both are providing significant new opportunities for researchers to disseminate, share, explore and collaborate with other researchers, but it remains to be seen whether they will be able to bring about more disruptive change in how science and research systems function in the future. They could well do so, especially if related changes being considered by the European Commission on ‘Science 2.0: Science in Transition’ are taken into account.JRC.J.3-Information Societ

Nudging lifestyles for better health outcomes : crowsourced data and persuasive technologies for behavioural change

Analysis of lifesyle induced by cultural modernisation that are producing negative outcomes (obesity, diabetes, etc) and discussion of how social media could be harnessed together with insights from behavioural sciences to induce behavioural change

A cross-sectional MR study of body fat volumes and distribution in chronic schizophrenia

Funder: DH | National Institute for Health Research (NIHR); doi: https://doi.org/10.13039/501100000272Funder: RCUK | Medical Research Council (MRC); doi: https://doi.org/10.13039/501100000265AbstractPeople with schizophrenia show higher risk for abdominal obesity than the general population, which could contribute to excess mortality. However, it is unclear whether this is driven by alterations in abdominal fat partitioning. Here, we test the hypothesis that individuals with schizophrenia show a higher proportion of visceral to total body fat measured using magnetic resonance imaging (MRI). We recruited 38 participants with schizophrenia and 38 healthy controls matched on age, sex, ethnicity, and body mass index. We found no significant differences in body fat distribution between groups, suggesting that increased abdominal obesity in schizophrenia is not associated with altered fat distribution.</jats:p

How one experiences and embodies compassionate mind training influences its effectiveness.

This paper explores indicators of practice quality of a brief compassion mind training (CMT) intervention and their impact on the development of an inner sense of one’s compassionate self (CS) and a range of self-report measures. Participants were randomly assigned to one of two conditions: compassionate mind training (CMT; n = 77) and wait-list control. Participants in the CMT condition practiced a range of CMT practices during 2 weeks. Each week, participants completed a feedback questionnaire, measuring practice frequency, helpfulness and embodiment of the practices in everyday life. Self-report measures of compassion, positive affect, shame, self-criticism, fears of compassion and psychopathological symptoms were also completed at pre and post. Practice frequency was associated with the frequency and easiness of embodiment of the CS. Perceived helpfulness of the practices was related to greater embodiment of the CS and to increases in compassion, reassured self, relaxed and safe affect and decreases in self-criticism. The embodiment variables of the CS were associated with higher compassion for the self, for others and from others and with improvements in reassured self, safe affect and compassionate goals. Embodiment of the CS and perceived helpfulness of the practices predicted compassion for the self and experience of compassion from others at post-intervention. Perceiving compassion cultivation practices as helpful and being able to embody the CS in everyday life is key to foster self-compassion and the experience of receiving compassion from others, as well as to promote feelings of safeness, contentment and calmness.Portuguese Foundation for Science and Technology (FCT) Compassionate Mind Foundation charit

Psychological and physiological effects of compassionate mind training: A pilot randomised controlled study

The development of the compassionate self, associated with practices such as slow and deeper breathing, compassionate voice tones and facial expressions and compassionate focusing is central to Compassion Focused Therapy. This study explores the impact of a two-week Compassionate Mind Training (CMT) program on emotional, self-evaluative and psychopathology measures and on heart rate variability (HRV). Participants (general population and college students) were randomly assigned to one of two conditions: CMT (n=56) and Wait-List Control (n=37). Participants in the CMTcondition were instructed to practice CMT exercises during two weeks. Self-report measures of compassion, positive affect, fears of compassion, self-criticism, shame, depression, anxiety and stress, and HRV were collected at pre and post intervention in both conditions. Compared to the control group, the experimental group showed significant increases in positive emotions, associated with feeling relaxed and also safe and content, but not activated; and in self-compassion, compassion for others and compassion from others. There were significant reductions in shame, self-criticism, fears of compassion, and stress. Only the experimental group reported significant improvement in HRV. Developing awareness of the evolved nature and inherent difficulties of our minds allied with practicing CMT exercises has beneficial effects on participants' psychological and physiological well-being.N/

Beyond i2010 : eGovernment Challenges and Future Scenarios

Analysis of the socio-economic impact of the introduction of eGovernment in EU27 in relation to national and European level policies

Policy Making 2.0: Unleashing the power of big data for public governance

The chapter provides an overview of the current debate and state of the art in the domain of big data aiming at assessing the current and potential use of ICT tools for collaborative governance and policy modelling for opening up government operations and enhance the 'intelligence' of the policy-making process. The analysis is based on the roadmapping exercise conducted as part of the CROSSOVER Project - Bridging Communities for Next Generation Policy Making, an FP7 funded support action of the European Commission, with specific regard to the implications of big data on the research challenges of the Policy Making 2.0 Roadmap, being developed to provide an outline of what technologies are available now for policy-makers to improve their work, and what could become available in the future. In order to do so, the chapter provides an analysis based on a meta review and selected results of analysis of case studies to identify the characteristics and benefits resulting from applications of big data techniques and methodologies within the context of ICT solutions for collaborative governance and policy modelling, highlighting opportunities, challenges and current practices in public governance, in Europe and worldwide. Building on the results of the analysis, implications of big data on policy-making are drawn and future research and policy directions are outlined.JRC.J.3-Information Societ