Participatory Monitoring of Community-Based Rehabilitation and other Disability- Inclusive Development Programmes: the Development of a Manual and Menu

Purpose: This paper describes a three-year research project leading to the development of the CBR Monitoring Manual and Menu (MM&M). The MM&M is a practical toolkit that meets the needs of CBR managers and stakeholders, and is consistent with the philosophy of CBR and community-based disability-inclusive development. It is designed to produce meaningful and locally useful information and data, based on international data standards where possible, to enable aggregation at regional, national and international levels. Methods: Five complementary workstreams of research were carried out from 2011 to 2014: 1) literature review and analysis; 2) participatory action research with CBR stakeholders; 3) analysis and refinement of validity of concepts and structures; 4) consultation and review; and 5) synthesis of results. This article documents the method and key results of each of the five workstreams, and the lessons learned along the way. Results: The MM&M is now freely available on-line at http://sydney.edu.au/health-sciences/cdrp/projects/cbr-monitoring.shtml. Collaboration among members of the development team continues, chiefly via an on-line group to which new members have been welcomed. Conclusion and Implications: At the time of writing, the MM&M is the only international monitoring product, known to the authors, that consciously sets out to reflect both a ‘bottom- up’ and ‘top-down’ perspective of monitoring information and data. To achieve this for a complex programme such as CBR, and to align with its principles, it was essential to use a multi-component and multi-stage strategy for tool development, involving a diverse multidisciplinary team includingcollaboration with CBR stakeholders

Integration of decision support systems to improve decision support performance

Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

Social process of knowledge creation in science, The

2019 Summer.Includes bibliographical references.The Science of Team Science (SciTS) emerged as a field of study because 21st Century scientists are increasingly charged with solving complex societal and environmental challenges. This shift in the complexity of questions requires a shift in how knowledge is created. To solve the complex societal health and environmental challenges, scientific disciplines will have to work together, innovate new knowledge, and create new solutions. It is impossible for one person or one discipline to have the quantity of knowledge needed to solve these types of problems. Tackling these problems requires a team. My dissertation articles report on how knowledge is built and created on a spectrum of scientific teams from university students to long-standing teams. Collectively they answer: how is knowledge creation a social process? To answer this question, my dissertation used a mixed-methods approach that included: social network analysis, social surveys, participant observation, interviews, document analysis, and student reflections. The most important finding from my dissertation was that social relations and processes are key to knowledge creation. Historically, knowledge acquisition and creation have been thought of as individual tasks, but a growing body of literature has framed knowledge creation as a social product. This is a fundamental shift in how knowledge is created to solve complex problems. To work with scientists from other disciplines, individuals must develop personal mastery and build the necessary capacities for collaboration, collective cognitive responsibility, and knowledge building. Complex problems are solved when scientists co-evolve with teams, and individual knowledge and capacity grows alongside the ability for "team learning" Knowledge, then, is a collective product; it is not isolated or individual, but constructed and co-constructed through patterns of interactions

Community-based rehabilitation for people with disabilities in low- and middle-income countries: a systematic review

Review question: We reviewed the evidence about the impact of community-based rehabilitation on the lives of people with disabilities and their carers in low- and middle-income countries. Background: People with disabilities include those who have long-term physical, mental, intellectual or sensory impairments, which in interaction with various barriers may hinder their full and effective participation in society on an equal basis with others. There are estimated to be over one billion people with disabilities globally and 80% of them live in low- and middle-income countries. They are often excluded from education, health, and employment and other aspects of society leading to an increased risk of poverty. Community-based rehabilitation interventions are the strategy endorsed by the World Health Organization and other international organisations (e.g. ILO, IDDC) for addressing the needs of this group of people in low- and middle-income countries. These interventions aim to enhance the quality of life of people with disabilities and their carers, by trying to meet their basic needs and ensuring inclusion and participation using predominantly local resources. These interventions are composed of up to five components: health, education, livelihood, social and empowerment. Currently only few people who need them benefit from these interventions, and so it is important to assess the available evidence to identify how to best implement these programmes. Study characteristics: The evidence in this review is current to July 2012. This review identified 15 studies that assessed the impact of community-based rehabilitation on the lives of people with disabilities and their carers in low- and middle-income countries. The studies included in the review used different types of community-based rehabilitation interventions and targeted different types of physical (stroke, arthritis, chronic 7 The Campbell Collaboration | www.campbellcollaboration.org obstructive pulmonary disease) and mental disabilities (schizophrenia, dementia, intellectual impairment). Key results: Overall, randomised controlled trials suggested a beneficial effect of community-based rehabilitation interventions in the lives of people with physical disabilities (stroke and chronic obstructive pulmonary disease). Similar results were found for non-randomised studies for physical disabilities (stroke and arthritis) with the exception of one non-randomised study on stroke showing community-based rehabilitation was less favourable than hospital-based rehabilitation. Overall, randomised controlled trials suggested a modest beneficial effect of community-based rehabilitation interventions for people with mental disabilities (schizophrenia, dementia, intellectual impairment), and for their carers (dementia). Similar results were found for non-randomised studies for mental disabilities (schizophrenia). However, the methodological constraints of many of these studies limit the strength of our results. In order to build stronger evidence, future studies will need to adopt better study designs, will need to focus on broader clients group, and to include economic evaluations

Management of «Systematic Innovation»: A kind of quest for the Holy Grail!

In this paper, authors propose a contribution for improving the open innovation processes. It shows the necessity to get an efficient methodology for open innovation in order to build a computer aided tool for inventive design in Process Systems Engineering (PSE). The proposed methodology will be evocated to be fully used in the context of the “revolutionary” concepts around the so-called factory for the future, also called integrated digital factory, innovative factory… As a result the main contribution of this paper is to propose a software prototype for an Open Computer Aided Innovation 2.0. By definition this open innovation relies on collaboration. This collaboration should enable a community, with a very broad spectrum of skills, to share data, information, knowledge and ideas. As a consequence, a first sub objective is to create a methodological framework that takes advantages of collaboration and collective intelligence (with its capacity to join intelligence and knowledge). Furthermore, the raise of the digital company and more particularly the breakthroughs in information technologies is a powerful enabler to extend and improve the potential of collective intelligence. The second sub objective is to propose a problem resolution process to impel creativity of expert but also to develop, validate and select innovative solutions. After dealing with the importance of Process Innovation and Problem solving investigation in PSE, the proposed approach originally based on an extension of the TRIZ theory (Russian acronym for Theory of Inventive Problem Solving), has been improved by using approach such as case-based reasoning, in order to tackle and revisit problems encountered in the PSE. A case study on biomass is used to illustrate the capabilities of the methodology and the tool

Cross-border knowledge transfer and innovation in the European neighbourhood: Tourism cooperation at the Finnish-Russian border

Knowledge transfer and innovation cooperation between the EU and its neighbours has remained weakly developed. To promote this cooperation, the EU has set up initiatives for the European neighbourhood. The issue has, however, received very limited scholarly attention in the field of tourism. This research gap is addressed here via interview data collected from participants in tourism related EU-funded projects in the Finnish-Russian cross-border region. These underline the importance of EU-funding in facilitating knowledge transfer and innovation between Finland and Russia. While language issues, and differences in business culture and administrative/legislative systems between the two countries, constitute barriers for practical cross-border cooperation, it is cross-border differences in culture and technological capabilities that drive cross-border knowledge transfer and innovation in the cross-border region. The paper concludes with policy recommendations for promoting future cross-border cooperation in innovation and tourism

Graph-based reasoning in collaborative knowledge management for industrial maintenance

Capitalization and sharing of lessons learned play an essential role in managing the activities of industrial systems. This is particularly the case for the maintenance management, especially for distributed systems often associated with collaborative decision-making systems. Our contribution focuses on the formalization of the expert knowledge required for maintenance actors that will easily engage support tools to accomplish their missions in collaborative frameworks. To do this, we use the conceptual graphs formalism with their reasoning operations for the comparison and integration of several conceptual graph rules corresponding to different viewpoint of experts. The proposed approach is applied to a case study focusing on the maintenance management of a rotary machinery system

Collective Intelligence to solve creative problems in conceptual design phase

In industry, there is an interest in the collective resolution of creative problems found on the phase of conceptual design. In this work we introduce an information-based software framework for collaboration in the problem resolution process. This framework proposes the implementation of techniques from the collective intelligence research field in combination with the systematic methods provided by TRIZ theory. Both approaches are centered in the human aspect of the innovation process, and are complementary. While collective intelligence focuses on the intelligence or behavior that emerges in collaborative work, the TRIZ theory is centered in the individual's capacity to solve problems. The framework's objective is to improve the individual creativity provided by TRIZ method and tools, with the value created by the collective contributions. This work aims to expand the horizon in the field of computer aided innovation (CAI), to the next evolutionary step called Open CAI 2.0