Sports blogging: bridging the gap between journalism and academics

Blogging has been an online activity for more than two decades, and its impact has been felt in the journalism and academic communities. In its infancy, the sports blog consisted of an author posting links to other sources. Since then, sports blogs have been used as a journalistic tool by industry professionals and amateurs to break news, provide analysis and context to issues of the day. Likewise, scholars have begun to realize the potential for blogs to reach out to a larger and more diverse audience, using its sense of immediacy to keep up with changing trends in academic sports history. This thesis will show that a bridge has been formed that connects sports journalism with scholarly research. Bridging the gap between sports journalism and digital history has the potential of opening new areas of legitimacy while bringing more credibility to online work. Twenty years after its inception, blogging about sports has positioned itself to connect the immediacy of sports journalism and the long-lasting effects of scholarly journals. (Author abstract)D'Angelo, R. (2018). Sports blogging: bridging the gap between journalism and academics. Retrieved from http://academicarchive.snhu.eduMaster ArtsHistoryCollege of Online and Continuing Educatio

Bridging the Gap Between Traditional Metadata and the Requirements of an Academic SDI for Interdisciplinary Research

Metadata has long been understood as a fundamental component of any Spatial Data Infrastructure, providing information relating to discovery, evaluation and use of datasets and describing their quality. Having good metadata about a dataset is fundamental to using it correctly and to understanding the implications of issues such as missing data or incorrect attribution on the results obtained for any analysis carried out. Traditionally, spatial data was created by expert users (e.g. national mapping agencies), who created metadata for the data. Increasingly, however, data used in spatial analysis comes from multiple sources and could be captured or used by nonexpert users – for example academic researchers ‐ many of whom are from non‐GIS disciplinary backgrounds, not familiar with metadata and perhaps working in geographically dispersed teams. This paper examines the applicability of metadata in this academic context, using a multi‐national coastal/environmental project as a case study. The work to date highlights a number of suggestions for good practice, issues and research questions relevant to Academic SDI, particularly given the increased levels of research data sharing and reuse required by UK and EU funders

Condensation risk – impact of improvements to Part L and robust details on Part C Final report: BD2414

This report summarises the main findings of the project ‘Impacts of Improvements to Part L and Robust Construction Details (RCD) on Part C’. The work consisted of a fieldwork element, undertaken by Leeds Metropolitan University and a modelling element carried out by University College London. Details of the work programme are contained in Appendix 1. The fieldwork consisted of the analysis of design material and site surveys from 16 housing developments constructed to Part L 2002 and adopting the Robust Construction Detail route to compliance. The modelling element of the project sought to identify the extent to which the ‘as built’ details give rise to a significantly increased condensation risk as compared to the relevant ‘standard’ robust construction details, as defined in the guidance. In addition to assessing ‘as built’ performance, the modelling phase of the project has investigated the suitability of the relevant calculation methods used to assess the risk of surface and interstitial condensation and mould growth. This report draws together the important conclusions from the project which has previously been presented in several very detailed interim reports and also for the first time presents the results of a workshop where these results were discussed to obtain industry feedback. The overall conclusions, future work and dissemination plans are also presented

Bridging the gap between research and agile practice: an evolutionary model

There is wide acceptance in the software engineering field that industry and research can gain significantly from each other and there have been several initiatives to encourage collaboration between the two. However there are some often-quoted challenges in this kind of collaboration. For example, that the timescales of research and practice are incompatible, that research is not seen as relevant for practice, and that research demands a different kind of rigour than practice supports. These are complex challenges that are not always easy to overcome. Since the beginning of 2013 we have been using an approach designed to address some of these challenges and to bridge the gap between research and practice, specifically in the agile software development arena. So far we have collaborated successfully with three partners and have investigated three practitioner-driven challenges with agile. The model of collaboration that we adopted has evolved with the lessons learned in the first two collaborations and been modified for the third. In this paper we introduce the collaboration model, discuss how it addresses the collaboration challenges between research and practice and how it has evolved, and describe the lessons learned from our experience

From academia to industry: are doctorate holders ready?

In policy debates related to innovation potential, the limited mobility from academia to industry is often explained by the supposed mismatch of skills needed in these different settings. We contribute to this debate by (1) examining the attitudes of Flemish doctoral candidates towards careers in industry; and (2) by analysing the extent to which doctoral candidates and employers in industry in Flanders differ in their views on the skills needed to perform well in this sector. We combined survey data with qualitative research. The Survey of Junior Researchers provides information on the doctoral candidates’ perspective on these matters, whereas the Research & Development Survey of Flemish companies reflects the employers’ views. Additional data obtained through interviews with both doctorate holders and employers provide a more in depth understanding of the transition from academia to industry. A mismatch between what doctoral candidates consider important skills for a job in industry, and what employers expect from researchers is observed. The importance of technical skills and more transferable competencies such as project management and business skills are underestimated by doctoral candidates. The findings raise questions on the awareness among doctoral candidates of the skills needed for a career outside academia. Addressing possible negative attitudes, and providing adequate training and career planning could improve their preparation for work in non-academic settings, confirming findings in other countries that institutional programmes have a role to play in bridging the gap between employers' expectations and those of doctoral candidates

The Price of Progress: Funding and Financing Alzheimer\u27s Disease Drug Development

Introduction Advancing research and treatment for Alzheimer\u27s disease (AD) and the search for effective treatments depend on a complex financial ecosystem involving federal, state, industry, advocacy, venture capital, and philanthropy funding approaches. Methods We conducted an expert review of the literature pertaining to funding and financing of translational research and drug development for AD. Results The federal government is the largest public funder of research in AD. The National Institute on Aging, National Institute of Mental Health, National Institute of General Medical Sciences, and National Center for Advancing Translational Science all fund aspects of research in AD drug development. Non-National Institutes of Health federal funding comes from the National Science Foundation, Veterans Administration, Food and Drug Administration, and the Center for Medicare and Medicaid Services. Academic Medical Centers host much of the federally funded basic science research and are increasingly involved in drug development. Funding of the “Valley of Death” involves philanthropy and federal funding through small business programs and private equity from seed capital, angel investors, and venture capital companies. Advocacy groups fund both basic science and clinical trials. The Alzheimer Association is the advocacy organization with the largest research support portfolio relevant to AD drug development. Pharmaceutical companies are the largest supporters of biomedical research worldwide; companies are most interested in late stage de-risked drugs. Drugs progressing into phase II and III are candidates for pharmaceutical industry support through licensing, mergers and acquisitions, and co-development collaborations. Discussion Together, the funding and financing entities involved in supporting AD drug development comprise a complex, interactive, dynamic financial ecosystem. Funding source interaction is largely unstructured and available funding is insufficient to meet all demands for new therapies. Novel approaches to funding such as mega-funds have been proposed and more integration of component parts would assist in accelerating drug development

Bridging the Gap

School districts across the country are increasingly seeking out digital tools to support the work of educators, in the hopes of improving students' academic achievement. With the rapid emergence of this new market, many districts have been challenged by the task of identifying and procuring educational technology (ed-tech) products that match the needs of their educators and students.The NYC Department of Education's "Innovate NYC Schools" division, supported by a U.S. DOE Investing in Innovation (i3) grant, aims to address this problem, in part by promoting "user-centered design," an approach that puts the needs and preferences of products' intended users (in this case, teachers, students, and parents) front and center in the development and procurement of new technology.Bridging the Gap describes the design and implementation of three Innovate NYC Schools initiatives grounded in user-centered design theory:School Choice Design Challenge (SCDC),an effort to develop apps that would help students explore and narrow down their choices of high school.#SharkTankEDU events, during which ed-tech developers present a product to a panel of educators who provide feedback on the tool.Short-Cycle Evaluation Challenges (SCEC), a classroom-based, semester-long pilot of ed-tech tools intended to inform product development, as well as the ultimate procurement decisions of school staff.The report focuses on four phases of work involved in bringing ed-tech companies and the users of their products together: defining a problem; selecting users and ed-tech companies; implementing pilot-based initiatives; and evaluating products. It describes strategies used and challenges faced, and offers practical lessons gleaned from the experiences of the individuals who designed and participated in these efforts.

The real SAP® Business one cost : a case study of ERP adoption in an SME

This paper reports on a UK based service management Small and Medium-sized Enterprise (SME) that invested into SAP® Business One. The action research case study highlights the real cost and difficulties faced in moving to the one single SAP system and the process that was followed in order to identify third-party vendors that can integrate or customise SAP® Business One. This paper highlights the additional costs required to ensure a ‘fit-for-purpose’ solution to close the gap between strategic needs and the existing SAP Business One solution. The gap itself is illustrated by highlighting 10 key functionalities expected by the given service management SME. The actual implementation cost of the Enterprise Resource Planning (ERP) was found to be approximately double the initial SAP costs. The real costs involve time for, among other things, process reengineering, strategic decision making, software add-ons, staff-training, project-management and software maintenance