A termelési stratégia és termelési gyakorlat kutatás eredményei 2009-2010 (Gyorsjelentés) = Results of an international research on manufacturing strategy and practices 2009-2010 (briefing)

Ez a műhelytanulmány a 2009-ben lezajlott Nemzetközi Termelési Stratégia Kutatás (International Manufacturing Strategy Survey) hazai eredményeit foglalja össze az első elemzések alapján. Az eredményeket összevetettük a kutatás nemzetközi adatbázisával is, ezért a kutatásban részt vevő vállalatok és más érdeklődők a hazai vállalatok nemzetközi versenyképességéről is képet kaphatnak a termelés területén. Sajnos az elemzések nem hoztak túl kedvező eredményeket: a hazai mezőny sem saját magához, sem a nemzetközi mezőnyhöz képest nem tudott érdemben fejlődni az elmúlt 4 évben. = This study summarizes the first Hungarian results of the International Manufacturing Strategy Survey that took place in 2009. Hungarian data are compared to the international database of the research, as well. Thus participating companies and other interesting readers can get a picture about the international competitiveness of Hungarian companies at the field of production. Unfortunately the results are not very favourable: the Hungarian companies could not make considerable progress neither in comparison to their own previous results nor to international companies in the last three years.

A termelési stratégia és termelési gyakorlat kutatás eredményei 2013-2014 (Gyorsjelentés) = Results of an international research on manufacturing strategy and practices 2013-2014 (Briefing)

Absztakt: Ez a műhelytanulmány a 2013-2014-ben lezajlott Nemzetközi Termelési Stratégia Kutatás (International Manufacturing Strategy Survey) hazai eredményeit foglalja össze az első elemzések alapján. Az eredményeket összevetettük a kutatás nemzetközi adatbázisával is, ezért a kutatásban részt vevő vállalatok és más érdeklődők a hazai vállalatok nemzetközi versenyképességéről is képet kaphatnak a termelés területén ______ This study summarizes the first Hungarian results of the International Manufacturing Strategy Survey that took place in 2013-2014. Hungarian data are compared to the international database of the research, as well. Thus participating companies and other interesting readers can get a picture about the international competitiveness of Hungarian companies at the field of production.

KE & Science Europe briefing paper: Funding Research Data Management and related infrastructures

Responsible Research Data Management (RDM) is a pillar of quality research. In practice good RDM requires the support of a well-functioning Research Data Infrastructure (RDI). One of the challenges the research community is facing is how to fund the management of research data and the required infrastructure. Knowledge Exchange and Science Europe have both defined activities to explore how RDM/RDI are, or can be, funded. Independently they each planned to survey users and providers of data services and on becoming aware of the similar objectives and approaches, the Science Europe Working Group on Research Data and the Knowledge Exchange Research Data expert group joined forces and devised a joint activity to to inform the discussion on the funding of RDM/RDI in Europe.

Open Access policy effectiveness: A briefing paper for UK Higher Education Institutions

There are now almost 700 Open Access policies around the world, two thirds of them in universities and research institutes. There is considerable variation across these policies in terms of the conditions they lay down for authors and of their effectiveness. This briefing paper lays out the main issues that affect the effectiveness of a policy in providing high levels of Open Access research material.

PASTEUR4OA Briefing Paper

Working Together to Promote Open Access Policy Alignment in Europe

Open Access in the UK Briefing on the UK Open Access Case Study

Open Access (OA) policies have been adopted at the national, institutional and funder levels in the UK and various infrastructural support mechanisms are available to facilitate open access. In July 2012, following an independent study on ‘Accessibility, sustainability, excellence: how to expand access to research publications’ the UK Government announced its OA policy. The Government’s policy determines that ‘support for publication in open access or hybrid journals, funded by Article Processing Charges (APCs), [i]s the main vehicle for the publication of research’. At the same time that the UK Government announced its OA policy, the UK’s major research funder, the Research Councils UK (RCUK), revised its OA policy announcing its ‘preference for immediate [Gold] Open Access with the maximum opportunity for re-use’. In March 2014, the UK Funding Councils announced their OA policy for the post-2014 Research Evaluation Framework (REF). The policy requires the deposit of peer-reviewed article and conference proceedings in repositories (Green OA) and is applicable from 1 April 2016. By and large, two distinct OA routes are being promoted by the UK Government and RCUK (Gold OA) and the Funding Councils (Green OA). This scenario requires that continued efforts are made to ensure that advice and support are provided to universities, academic libraries and researchers on the distinct OA policies and on policy compliance. The UK research institutions have been adopting OA policies from as early as 2003 and there currently are 85 institutional OA policies. Despite distinct OA policies having been adopted by policymakers, national research funders and research institutions, the UK’s movement towards OA has been a result of stakeholders coordinated efforts and is considered to be a case of good practice.

KNOWLEDGE EXCHANGE BRIEFING PAPER ON JOURNAL BUSINESS MODELS

Over the past few years many studies have been published on the costs and economic benefits of journal business models. Early studies considered only the costs incurred in publishing traditional journals made available for purchase on a subscription or licensing business model. As the open access business model became available, some studies also covered the cost of making research articles available in open access journals. More recent studies have taken a broader perspective, looking at the position of journal publishers in the market and their business models in the context of the economic benefits from research dissemination. This briefing paper also looks at the outcomes of the broadly cited RIN study and various national studies performed by John Houghton. All links provided in footnotes in this Briefing Paper are to studies available in open access.

PROPERTY TAX BRIEFING PRESENTED TO SOUTH CAROLINA SENATE FINANCE COMMITTEE

This Powerpoint presentation gives statistics on property taxes in South Carolina.

Life cycle modelling and design knowledge development in 3D virtual environments : final report

Experience plays an important role in building management. “How often will this asset need repair?” or “How much time is this repair going to take?” are types of questions that project and facility managers face daily in planning activities. Failure or success in developing good schedules, budgets and other project management tasks depend on the project manager's ability to obtain reliable information to be able to answer these types of questions. Young practitioners tend to rely on information that is based on regional averages and provided by publishing companies. This is in contrast to experienced project managers who tend to rely heavily on personal experience. Another aspect of building management is that many practitioners are seeking to improve available scheduling algorithms, estimating spreadsheets and other project management tools. Such “micro-scale” levels of research are important in providing the required tools for the project manager's tasks. However, even with such tools, low quality input information will produce inaccurate schedules and budgets as output. Thus, it is also important to have a broad approach to research at a more “macro-scale.” Recent trends show that the Architectural, Engineering, Construction (AEC) industry is experiencing explosive growth in its capabilities to generate and collect data. There is a great deal of valuable knowledge that can be obtained from the appropriate use of this data and therefore the need has arisen to analyse this increasing amount of available data. Data Mining can be applied as a powerful tool to extract relevant and useful information from this sea of data. Knowledge Discovery in Databases (KDD) and Data Mining (DM) are tools that allow identification of valid, useful, and previously unknown patterns so large amounts of project data may be analysed. These technologies combine techniques from machine learning, artificial intelligence, pattern recognition, statistics, databases, and visualization to automatically extract concepts, interrelationships, and patterns of interest from large databases. The project involves the development of a prototype tool to support facility managers, building owners and designers. This final report presents the AIMMTM prototype system and documents how and what data mining techniques can be applied, the results of their application and the benefits gained from the system. The AIMMTM system is capable of searching for useful patterns of knowledge and correlations within the existing building maintenance data to support decision making about future maintenance operations. The application of the AIMMTM prototype system on building models and their maintenance data (supplied by industry partners) utilises various data mining algorithms and the maintenance data is analysed using interactive visual tools. The application of the AIMMTM prototype system to help in improving maintenance management and building life cycle includes: (i) data preparation and cleaning, (ii) integrating meaningful domain attributes, (iii) performing extensive data mining experiments in which visual analysis (using stacked histograms), classification and clustering techniques, associative rule mining algorithm such as “Apriori” and (iv) filtering and refining data mining results, including the potential implications of these results for improving maintenance management. Maintenance data of a variety of asset types were selected for demonstration with the aim of discovering meaningful patterns to assist facility managers in strategic planning and provide a knowledge base to help shape future requirements and design briefing. Utilising the prototype system developed here, positive and interesting results regarding patterns and structures of data have been obtained.

Multi-victim sexual assault : a case study in rural Australia

Objective: There is a paucity of information regarding cases of multi-victim sexual assault of children. The reported incidence suggests that these cases are rare. The aim of this paper is to provide practitioners with information about effective intervention strategies arising out of the direct experience of managing a case of multi-victim sexual assault in an Australian rural community. --------- Method: A descriptive, case-report methodology summarizing the investigation and intervention in a case of multi-victim sexual assault is reported. A community based intervention arising out of the disclosures of 21 male children is described. The intervention occurred at an individual, group, and community level using a coordinated multi-disciplinary team and natural helping networks. ---------- Results: The coordination of police and welfare services increased the communication flow to victims, their families, and the community. The case also demonstrated the utility in regularly briefing political and bureaucratic authorities as well as local officials about emergent issues. Coordinating political and bureaucratic responses was essential in obtaining ongoing support and sufficient researching to enable the effective delivery of services. ---------- Conclusions: Interventions were focused at an individual, group, and community level using a coordinated multi-disciplinary team and natural helping networks. This provided a choice of services which were sensitive to the case setting. Recommendations are offered for practitioners who are confronted with similar events. While this paper describes an approach for intervening in a case of multi-victim sexual assault, further empirical research is needed to enable service deliverers to efficaciously target interventions which offer choice to victims and their families.

Life Cycle Modelling and Design Knowledge Development in 3D Virtual Environments

Experience plays an important role in building management. “How often will this asset need repair?” or “How much time is this repair going to take?” are types of questions that project and facility managers face daily in planning activities. Failure or success in developing good schedules, budgets and other project management tasks depend on the project manager's ability to obtain reliable information to be able to answer these types of questions. Young practitioners tend to rely on information that is based on regional averages and provided by publishing companies. This is in contrast to experienced project managers who tend to rely heavily on personal experience. Another aspect of building management is that many practitioners are seeking to improve available scheduling algorithms, estimating spreadsheets and other project management tools. Such “micro-scale” levels of research are important in providing the required tools for the project manager's tasks. However, even with such tools, low quality input information will produce inaccurate schedules and budgets as output. Thus, it is also important to have a broad approach to research at a more “macro-scale.” Recent trends show that the Architectural, Engineering, Construction (AEC) industry is experiencing explosive growth in its capabilities to generate and collect data. There is a great deal of valuable knowledge that can be obtained from the appropriate use of this data and therefore the need has arisen to analyse this increasing amount of available data. Data Mining can be applied as a powerful tool to extract relevant and useful information from this sea of data. Knowledge Discovery in Databases (KDD) and Data Mining (DM) are tools that allow identification of valid, useful, and previously unknown patterns so large amounts of project data may be analysed. These technologies combine techniques from machine learning, artificial intelligence, pattern recognition, statistics, databases, and visualization to automatically extract concepts, interrelationships, and patterns of interest from large databases. The project involves the development of a prototype tool to support facility managers, building owners and designers. This Industry focused report presents the AIMMTM prototype system and documents how and what data mining techniques can be applied, the results of their application and the benefits gained from the system. The AIMMTM system is capable of searching for useful patterns of knowledge and correlations within the existing building maintenance data to support decision making about future maintenance operations. The application of the AIMMTM prototype system on building models and their maintenance data (supplied by industry partners) utilises various data mining algorithms and the maintenance data is analysed using interactive visual tools. The application of the AIMMTM prototype system to help in improving maintenance management and building life cycle includes: (i) data preparation and cleaning, (ii) integrating meaningful domain attributes, (iii) performing extensive data mining experiments in which visual analysis (using stacked histograms), classification and clustering techniques, associative rule mining algorithm such as “Apriori” and (iv) filtering and refining data mining results, including the potential implications of these results for improving maintenance management. Maintenance data of a variety of asset types were selected for demonstration with the aim of discovering meaningful patterns to assist facility managers in strategic planning and provide a knowledge base to help shape future requirements and design briefing. Utilising the prototype system developed here, positive and interesting results regarding patterns and structures of data have been obtained.

Globalist Fallacies, Fictions and Facts: The MAI and Neo-classic Ideology

There is little evidence, historical or otherwise, to suggest that the needs of people and societies change greatly over time. Whilst acknowledging the benefits of the many recent technological innovations that are part of the contemporary milieu, I am reluctant to see such advances as sufficient rationale for the dismantling of the social contract between a government and its citizenry. The Multilateral Agreement on Investment (MAI) highlights the move amongst developed countries to replace a national policy focus with a multilateral approach to global policy formulation that transcends the sovereignty of nation states. The purpose of this paper is to refute the assumptions underpinning multilateralist assertions that government has a diminishing role to play in the global society, and that national sovereignty, due to the increasingly important role of multilateral agreements and the global economy, is ‘a thing of the past’ (Arthur Asher, background briefing interview, Radio National, February 1, 1998). The basic premises that underpin the globalist argument1 for the diminishing role of government are that: • Economic growth increases jobs, prosperity, and freedom. • Free trade is an imperative for successful globalisation because financial sector performance - which depends on deregulation - is integral to global economic growth. • Information technology is revolutionising global trade and making globalisation inevitable. • Globalisation through deregulation, makes national boundaries meaningless, and therefore, national regulatory policies anachronistic. This paper compares the aforementioned axiomatic premises of globalisation to actual outcomes, events, and trends in the real world.

Slum free India program. Report on the findings and recommendations of QUT BEE workshop to investigate strategies to deliver better outcomes

As a result of a broad invitation extended by Professor Martin Betts, Executive Dean of the Faculty of Built Environment and Engineering, to the community of interest at QUT, a cross-disciplinary collaborative workshop was conducted to contribute ideas about responding to the Government of India’s urgent requirement to implement a program to re-house slum dwellers. This is a complex problem facing the Indian Ministry of Housing. Not only does the government aspire to eradicate existing slum conditions and to achieve tangible results within five years, but it must also ensure that slums do not form in the future. The workshop focused on technological innovation in construction to deliver transformation from the current unsanitary and overcrowded informal urban settlements to places that provide the economically weaker sections of Indian society with healthy, environmentally sustainable, economically viable mass housing that supports successful urban living. The workshop was conducted in two part process as follows: Initially, QUT academics from diverse fields shared current research and provided technical background to contextualise the challenge at a pre-workshop briefing session. This was followed by a one-day workshop during which participants worked intensively in multi-disciplinary groups through a series of exercises to develop innovative approaches to the complex problem of slum redevelopment. Dynamic, compressed work sessions, interspersed with cross-functional review and feedback by the whole group took place throughout the day. Reviews emphasised testing the concepts for their level of complexity, and likelihood of success. The two-stage workshop process achieved several objectives:  Inspired a sense of shared purpose amongst a diverse group of academics  Built participants’ knowledge of each other’s capacity  Engaged multi disciplinary team in an innovative design research process  Built participants’ confidence in the collaborative process  Demonstrated that collaborative problem solving can create solutions that represent transformative change.  Developed a framework of how workable solutions might be developed for the program through follow up workshops and charrettes of a similar nature involving stakeholders drawn from the context of the slum housing program management.