12 research outputs found

    COSPO/CENDI Industry Day Conference

    Get PDF
    The conference's objective was to provide a forum where government information managers and industry information technology experts could have an open exchange and discuss their respective needs and compare them to the available, or soon to be available, solutions. Technical summaries and points of contact are provided for the following sessions: secure products, protocols, and encryption; information providers; electronic document management and publishing; information indexing, discovery, and retrieval (IIDR); automated language translators; IIDR - natural language capabilities; IIDR - advanced technologies; IIDR - distributed heterogeneous and large database support; and communications - speed, bandwidth, and wireless

    Sustainable urban environments research dialogues

    Get PDF

    Sustainable urban environments research dialogues

    Get PDF

    Complexity and physical activity policy: considerations for theory and practice.

    Get PDF
    Background: Complex systems perspectives have been increasingly adopted to address physical inactivity. Within this, myriad policy actions are deemed important for supporting population physical activity and creating so-called ‘active systems.’ I argue that complexity and systems-thinking have, prior to this thesis, predominantly been applied uncritically and with insufficient consideration of the agents who influence, and are influenced by, the complexity of the physical activity policy environment. There is the need to connect different strands of research, specifically in relation to physical activity policy, evidence-informed Public Health, and complexity. Aim: My research aimed to critically assess the understanding and application of complexity theories as a basis for evidence-informed physical activity policy efforts. Specifically, I sought to interrogate the suitability of complexity theories for influencing, developing and implementing physical activity policies; identify conditions that enable more effective complex systems approaches to physical activity policy and programmes; and in doing so, extend understanding concerning complexity theories and their application. Theory and methods: Central to my theoretical position has been a reflexive process in which I have located myself within the wider physical activity and Public Health research landscape, and crucially the system I seek to change. This thesis is underpinned by a complex realist ontology, and epistemologically I draw on the notion of different lenses of evidence about policy issues. Methodologically, I employed qualitative and action-orientated methods to explore individuals’ agency and experiences of the physical activity policy system. My own observations and experiences are discussed through a theoretical pluralism. Study 1: I explored the processes, values and experiences of physical activity policy-makers in UK national government, in relation to complexity, and how they sought to foster system change. I conducted 10 semi-structured interviews. Three overarching themes were constructed and emphasised that while the idea of complex systems permeated the physical activity sector, uncertainty as to the meaning of complexity and its implications may preclude its application in ways that enhance physical activity policies and programmes. I highlight problematic practices and identify potentially important mechanisms to support system change. Study 2: This study was originally a preliminary component of an action research project that was curtailed by the SARS-Cov-2 pandemic. Through five in-depth semi-structured interviews, I examined how local partnerships can be used more effectively to improve the implementation of national physical activity policies. Specifically, I extended knowledge by providing a critical reflection on system leadership, demonstrating how it is enabled and strengthened, how it links to implementation, and how changes in systemic practices and cultures can be stimulated in the physical activity policy domain. Study 3: This study responded to outstanding gaps in the evidence, in particular the ongoing uncertainty around the practical applications of complexity theories and systems perspectives. In-keeping with my intended action-orientated approach, I convened a workshop with 19 international experts (from research, policy and practice) to critically reflect on my previous research, drawing attention to issues of conceptual purity and discord between the theory and practice of complexity in the physical activity policy domain. Thereafter, the workshop explored how to optimise the application of complex systems approaches to physical activity policy, by focusing on the action of knowledge mobilisers. Analysis led to the creation of four propositions for advancing complexity theories and systems-based approaches, which set out important considerations concerning the how, when, and why of applying these perspectives. Concluding remarks: The general discussion is presented not as a line in the sand, but as both an advancement on previous thinking, and reflection on these and empirical contributions that remain a work in progress. Specifically, I set out current conceptualisations of complexity theories as they pertain to physical activity policy, and discuss considerations for future practice. I conclude by arguing that a reorientation of efforts across research, policy and practice toward agency, mobilisation and application of complex systems perspectives in physical activity policy settings will strengthen collective impact

    Enhancing Free-text Interactions in a Communication Skills Learning Environment

    Get PDF
    Learning environments frequently use gamification to enhance user interactions.Virtual characters with whom players engage in simulated conversations often employ prescripted dialogues; however, free user inputs enable deeper immersion and higher-order cognition. In our learning environment, experts developed a scripted scenario as a sequence of potential actions, and we explore possibilities for enhancing interactions by enabling users to type free inputs that are matched to the pre-scripted statements using Natural Language Processing techniques. In this paper, we introduce a clustering mechanism that provides recommendations for fine-tuning the pre-scripted answers in order to better match user inputs

    Beyond Participatory Design for Service Robotics

    Get PDF
    The spread of technologies as Cloud and Distributed Computing, the Internet of Things (IoT) and Machine Learning techniques comes with highly disruptive innovation potential and consequent design imperatives. High connectivity of devices and machines is shaping not only sensing and monitoring capabilities, but also describing ever more ubiquitous and diffuse computing capabilities, affecting decision-making with a wide range of assisting tools and methods. With the scaling potential of moving beyond its contemporary application such as industrial facilities monitoring, precision farming and agriculture, healthcare and risk management scenarios, RaaS is bound to involve an increasingly fluid and diverse range of users, shaping new socio-technical systems where practices, habits and relationships will evolve in respect to its adoption. On these premises, applied research at Polytechnic Interdepartmental Centre for Service Robotics in Turin, Italy, focuses on the development of a service robotics platform able to operate on the local scale and capable of adapting to evolving scenarios

    The Big Five:Addressing Recurrent Multimodal Learning Data Challenges

    Get PDF
    The analysis of multimodal data in learning is a growing field of research, which has led to the development of different analytics solutions. However, there is no standardised approach to handle multimodal data. In this paper, we describe and outline a solution for five recurrent challenges in the analysis of multimodal data: the data collection, storing, annotation, processing and exploitation. For each of these challenges, we envision possible solutions. The prototypes for some of the proposed solutions will be discussed during the Multimodal Challenge of the fourth Learning Analytics & Knowledge Hackathon, a two-day hands-on workshop in which the authors will open up the prototypes for trials, validation and feedback

    Multimodal Challenge: Analytics Beyond User-computer Interaction Data

    Get PDF
    This contribution describes one the challenges explored in the Fourth LAK Hackathon. This challenge aims at shifting the focus from learning situations which can be easily traced through user-computer interactions data and concentrate more on user-world interactions events, typical of co-located and practice-based learning experiences. This mission, pursued by the multimodal learning analytics (MMLA) community, seeks to bridge the gap between digital and physical learning spaces. The “multimodal” approach consists in combining learners’ motoric actions with physiological responses and data about the learning contexts. These data can be collected through multiple wearable sensors and Internet of Things (IoT) devices. This Hackathon table will confront with three main challenges arising from the analysis and valorisation of multimodal datasets: 1) the data collection and storing, 2) the data annotation, 3) the data processing and exploitation. Some research questions which will be considered in this Hackathon challenge are the following: how to process the raw sensor data streams and extract relevant features? which data mining and machine learning techniques can be applied? how can we compare two action recordings? How to combine sensor data with Experience API (xAPI)? what are meaningful visualisations for these data
    corecore