Knowledge integration in One Health policy formulation, implementation and evaluation

The One Health concept covers the interrelationship between human, animal and environmental health and requires multistakeholder collaboration across many cultural, disciplinary, institutional and sectoral boundaries. Yet, the implementation of the One Health approach appears hampered by shortcomings in the global framework for health governance. Knowledge integration approaches, at all stages of policy development, could help to address these shortcomings. The identification of key objectives, the resolving of trade-offs and the creation of a common vision and a common direction can be supported by multicriteria analyses. Evidence-based decision-making and transformation of observations into narratives detailing how situations emerge and might unfold in the future can be achieved by systems thinking. Finally, transdisciplinary approaches can be used both to improve the effectiveness of existing systems and to develop novel networks for collective action. To strengthen One Health governance, we propose that knowledge integration becomes a key feature of all stages in the development of related policies. We suggest several ways in which such integration could be promoted

Implementing high-technology intelligence at national level organizations: An action research study

Technology intelligence (TI) activities are those activities which support decision-making of technological and general management concerns by timely preparation of relevant information on technological facts and trends by means of collection, analysis and dissemination. Thus, TI is one of the important and critical processes of management of technology that includes technology forecasting, monitoring and assessment concepts.  Implementation of TI activities at national level organizations results in a system for high-technology decision makers which provides them not only a general view of relevant technologies but also the important trends of such technologies so they can make proper decisions for technology acquisitions. No models have not been developed for implementation of high technology intelligence in developing countries based on their different context so far. The main purpose of this research is to develop a model for designing roadmap for implementing high-technology systems at national level organizations in developing countries. The following project process is characterized as an oscillation between information accumulation, discourse, and practical action i.e action research. First based on literature review six dimensions of technology intelligence including management of intelligence processes, goals and Startegies, structures and human resourses, tools, cycles were conceptualized. By a conceptual framework relationships of the main dimensions and their sub dimensions were presented .Structured and semi structured interviews ,expert workshops were performed to design the appropriate roadmap model including different layers ,connection of layers and critical milestones based on the theoretical framework. For evaluation, the model was customized for a national level high technology based organization (action planning) and then implemented .Based on action results the model was corrected and revised .As conclusion a conceptual framework for roadmap designing was recommended

Implementing high-technology intelligence at national level organizations: An action research study

Technology intelligence (TI) activities are those activities which support decision-making of technological and general management concerns by timely preparation of relevant information on technological facts and trends by means of collection, analysis and dissemination. Thus, TI is one of the important and critical processes of management of technology that includes technology forecasting, monitoring and assessment concepts.  Implementation of TI activities at national level organizations results in a system for high-technology decision makers which provides them not only a general view of relevant technologies but also the important trends of such technologies so they can make proper decisions for technology acquisitions. No models have not been developed for implementation of high technology intelligence in developing countries based on their different context so far. The main purpose of this research is to develop a model for designing roadmap for implementing high-technology systems at national level organizations in developing countries. The following project process is characterized as an oscillation between information accumulation, discourse, and practical action i.e action research. First based on literature review six dimensions of technology intelligence including management of intelligence processes, goals and Startegies, structures and human resourses, tools, cycles were conceptualized. By a conceptual framework relationships of the main dimensions and their sub dimensions were presented .Structured and semi structured interviews ,expert workshops were performed to design the appropriate roadmap model including different layers ,connection of layers and critical milestones based on the theoretical framework. For evaluation, the model was customized for a national level high technology based organization (action planning) and then implemented .Based on action results the model was corrected and revised .As conclusion a conceptual framework for roadmap designing was recommended

Implementing high-technology intelligence at national level organizations: An action research study

Technology intelligence (TI) activities are those activities which support decision-making of technological and general management concerns by timely preparation of relevant information on technological facts and trends by means of collection, analysis and dissemination. Thus, TI is one of the important and critical processes of management of technology that includes technology forecasting, monitoring and assessment concepts.  Implementation of TI activities at national level organizations results in a system for high-technology decision makers which provides them not only a general view of relevant technologies but also the important trends of such technologies so they can make proper decisions for technology acquisitions. No models have not been developed for implementation of high technology intelligence in developing countries based on their different context so far. The main purpose of this research is to develop a model for designing roadmap for implementing high-technology systems at national level organizations in developing countries. The following project process is characterized as an oscillation between information accumulation, discourse, and practical action i.e action research. First based on literature review six dimensions of technology intelligence including management of intelligence processes, goals and Startegies, structures and human resourses, tools, cycles were conceptualized. By a conceptual framework relationships of the main dimensions and their sub dimensions were presented .Structured and semi structured interviews ,expert workshops were performed to design the appropriate roadmap model including different layers ,connection of layers and critical milestones based on the theoretical framework. For evaluation, the model was customized for a national level high technology based organization (action planning) and then implemented .Based on action results the model was corrected and revised .As conclusion a conceptual framework for roadmap designing was recommended

The Impact Challenge

This book explores the role of businesses in delivering positive societal and financial outcomes as they seek to bridge the gap between short-term organizational behaviors and long-range sustainability commitments. By addressing the inevitable data challenges associated with the strategic integration of a sustainability mindset, it enables faster adoption of social, environmental and governance metrics that generate lasting enterprise value. Inspired by the experience of practitioners that have successfully influenced the learning behaviors of complex organizations, this book helps readers drive systemic innovations as they leverage sustainability initiatives in a programmatic and intentional manner. Features: Defines a toolkit to generate sustainable business value by focusing on the organizational design underpinning sustainability-oriented initiatives. Provides a multidisciplinary lens on shaping the impact dialogue through applied frameworks. Discusses the need to analytically identify an organizational learning curve before developing impact targets and framing sustainability commitments around them. Combines theory and practice in a practical style by presenting a variety of real-life applications at a global level

The 4th International Seville Conference on Future-Oriented Technology Analysis (FTA). FTA and Grand Societal Challenges. Shaping and Driving Structural and Systemic Transformations

Following the success of previous years, the International Seville Conference on Future-Oriented Technology Analysis (FTA) has become a major occasion for FTA experts, practitioners and decision-makers to bring their ideas and knowledge together in a highly interactive environment. As with previous FTA events, the 2011 Conference places emphasis on diversity of views by attracting participants from a wide geographical base. Academics, practitioners as well as public and private sector decision makers from Europe, North America, Asia, Latin America, Africa and Australasia are invited to broaden the network and to increase understanding of advances in the field of FTA. During the conference posters and papers will cover the following themes: 1. Orienting innovation systems towards global challenges and the roles that FTA can play 2. Building FTA capacities for systemic and structural transformations 3. Premises and practices in combining quantitative and qualitative FTA methods 4. Horizon Scanning, governance, energy, health This book of abstract gives an overview of all the papers presented in the conference and will serve as a guide to the participants.JRC.J.2-Knowledge for Growt

Towards Horizon 2020: challenges and advances for clinical mental health research - outcome of an expert survey

BACKGROUND: The size and increasing burden of disease due to mental disorders in Europe poses substantial challenges to its population and to the health policy of the European Union. This warrants a specific research agenda concerning clinical mental health research as one of the cornerstones of sustainable mental health research and health policy in Europe. The aim of this research was to identify the top priorities needed to address the main challenges in clinical research for mental disorders. METHODS: The research was conducted as an expert survey and expert panel discussion during a scientific workshop. RESULTS: Eighty-nine experts in clinical research and representing most European countries participated in this survey. Identified top priorities were the need for new intervention studies, understanding the diagnostic and therapeutic implications of mechanisms of disease, and research in the field of somatic-psychiatric comorbidity. The 'subjectivity gap' between basic neuroscience research and clinical reality for patients with mental disorders is considered the main challenge in psychiatric research, suggesting that a shift in research paradigms is required. CONCLUSION: Innovations in clinical mental health research should bridge the gap between mechanisms underlying novel therapeutic interventions and the patient experience of mental disorder and, if present, somatic comorbidity. Clinical mental health research is relatively underfunded and should receive specific attention in Horizon 2020 funding programs