Architectural Technology and the BIM Acronym 3: Getting to Grips with BIM

Among Small and Medium Sized Enterprises (SMEs) in particular, the UK Government’s ambitions regarding BIM uptake and diffusion across the construction sector may be tempered by a realpolitik shaped in part by interactions between the industry, Higher Education (HE) and professional practice. That premise also has a global perspective. Building on the previous 2 papers, Architectural technology and the BIM Acronym 1 and 2, this third iteration is a synthesis of research and investigations carried out over a number of years directly related to the practical implementation of BIM and its impact upon BE SMEs. First challenges, risks and potential benefits for SMEs and micros in facing up to the necessity to engage with digital tools in a competitive and volatile marketplace are discussed including tailoring BIM to suit business models, and filtering out achievable BIM outcomes from generic and bespoke aspects of practice. Second the focus is on setting up and managing teams engaging with BIM scenarios, including the role of clients; addresses a range of paradigms including lonely BIM and collaborative working. The significance of taking a whole life view with BIM is investigated including embedding soft landings principles into project planning and realisation. Thirdly procedures for setting up and managing common data environments are identified and the value of achieving smooth information flow is addressed. The overall objective of this paper is to provide SMEs with a practical strategy to develop a toolkit to BIM implementation.

The Influence of Space Layout, Technology and Teaching Approach on Student Learning: An Architectural Technology Perspective

Some would argue that there is a need for the traditional lecture format to be rethought in favour of a more active approach. However, this must form part of a bipartite strategy, considered in conjunction with the layout of any new space to facilitate alternative learning and teaching methods. With this in mind, this paper begins to examine the impact of the learning environment on the student learning experience, specifically focusing on students studying on the Architectural Technology and Management programme at Ulster University. The aim of this study is two-fold: to increase understanding of the impact of learning space layout, by taking a student centered approach; and to gain an appreciation of how technology can impact upon the learning space. The study forms part of a wider project being undertaken at Ulster University known as the Learning Landscape Transition Project, exploring the relationship between learning, teaching and space layout. Data collection was both qualitative and quantitative, with use of a case study supported by a questionnaire based on attitudinal scaling. A focus group was also used to further analyse the key trends resulting from the questionnaire. The initial results suggest that the learning environment, and the technology within it, can not only play an important part in the overall learning experience of the student, but also assist with preparation for the working environment to be experienced in professional life.

Removal of BrO3 − from drinking water samples using newly developed agricultural waste-based activated carbon and its determination by ultra-performance liquid chromatography-mass spectrometry

Activated carbon was prepared from date pits via chemical activation with H3PO4. The effects of activating agent concentration and activation temperature on the yield and surface area were studied. The optimal activated carbon was prepared at 450 °C using 55 % H3PO4. The prepared activated carbon was characterized by Fourier transform infrared spectroscopy, scanning electron microscopy, thermogravimetric-differential thermal analysis, and Brunauer, Emmett, and Teller (BET) surface area. The prepared date pit-based activated carbon (DAC) was used for the removal of bromate (BrO3 −). The concentration of BrO3 − was determined by ultra-performance liquid chromatography-mass tandem spectrometry (UPLC-MS/MS). The experimental equilibrium data for BrO3 − adsorption onto DAC was well fitted to the Langmuir isotherm model and showed maximum monolayer adsorption capacity of 25.64 mg g−1. The adsorption kinetics of BrO3 − adsorption was very well represented by the pseudo-first-order equation. The analytical application of DAC for the analysis of real water samples was studied with very promising results.

La divulgación de la Ciencia española en la Web 2.0: el caso del Consejo Superior de Investigaciones Científicas en Andalucía y Cataluña

El sistema ciencia, tecnología y sociedad no está consolidado en España por el desequilibrio que existe entre el desarrollo de la investigación y su divulgación. Además, la cultura científica de la sociedad está por debajo de la media europea y en la última década han descendido las vocaciones científicas entre los más jóvenes. En este contexto, se ha analizado si las instituciones de investigación utilizan las herramientas de la Web 2.0, principal canal de comunicación de los jóvenes entre 15 y 24 años, para mostrar a la sociedad los resultados de sus trabajos. Para ello, se han seleccionado como objeto de estudio los centros de investigación del Consejo Superior de Investigaciones Científicas en Andalucía y Cataluña. Entre los principales resultados obtenidos, a través del diseño de una checklist ad hoc, destaca el escaso uso que hacen de este canal de comunicación, ya que solo un 4,5% de los centros analizados utilizan todas las herramientas estudiadas. La efectividad de la comunicación ha sido otro de los valores observados, en este caso, en función de la conectividad (seguidores en sus perfiles sociales) e intensidad (número de publicaciones). Ambos ítems presentan también valores muy bajos. Por otro lado se observa un escaso nivel de popularidad de sus sitios web (número de enlaces que reciben) y una casi inexistente relación entre los mismos a través de hipervínculos que los conecten. Este último aspecto, se ha determinado con las herramientas webmétricas Webometric Analyst y ScoSciBot.

Oportunidad de integración de la perspectiva de género en investigación e innovación en salud en Europa: red COST genderSTE

La Comisión Europea apoya, por varias vías, incorporar la perspectiva de género, ahora en el nuevo programa Horizonte 2020, pero también financiando proyectos como gendered innovations, que muestran cómo las innovaciones de género aportan calidad en investigación y en prácticas profesionales para la salud y el bienestar. Uno de sus instrumentos políticos es la Recomendación sobre Género, Ciencia e Innovación, a desarrollar en los Estados miembros. En este contexto se crea la red internacional de Género, Ciencia, Tecnología y Medio Ambiente (COST genderSTE), que pretende: 1) cambios estructurales de las instituciones, que promocionen a las investigadoras; 2) identificación de las dimensiones de género relevantes para el medio ambiente; y 3) promocionar una mejor integración de la perspectiva de género en investigación y tecnología. COST GenderSTE apoya la creación de redes y la difusión del conocimiento con perspectiva de género. Todas estas herramientas ofrecen la oportunidad de incorporar la perspectiva de género en investigación en Europa.

Projeto – sustentabilidade e matemática

A disciplina matemática e o tema sustentabilidade podem ser muito bem trabalhados pelos docentes da área de exatas. Pois, saber quantificar, calcular e associar o consumo e o impacto ambiental através de dados numéricos é uma possibilidade que pode ser desenvolvida em sala de aula. Saber interpretar e construir gráficos de colunas são outras competências e habilidades presentes na ciência da matemática. Compreender conceitos, estratégias e situações matemáticas numéricas para aplicá-los a situações diversas no contexto das ciências, da tecnologia e da atividade cotidiana se faz necessário. E também, reconhecer, pela leitura de textos apropriados, a importância da Matemática na elaboração de proposta de intervenção solidária na realidade. Dessa forma, conhecer o ambiente em que vivemos, verificar a influência do homem na Natureza e quais ações deverão ser tomadas pensando nas futuras gerações é um despertar para o consumo consciente. O que acarreta como possibilidade o retorno à natureza de recursos utilizados de maneira correta. Conhecer uma conta de luz detalhada, aprender a calcular o consumo mensal de Kwh e diminuir o consumo de energia elétrica através da mudança de hábitos são exemplos cotidianos em que a matemática se faz presente. Relacionar a matemática ao estudo do meio ambiente proporciona através dos números mensurar os prejuízos e projetar soluções, torna a aprendizagem construtiva, podendo se constituir num comportamento cotidiano ou numa ação educativa para formar uma consciência ecológica dentro de indicadores reais. A aprendizagem se torna significativa quando relacionada ao cotidiano do aluno no sentido de mostrar o meio ambiente a que estão inseridos para que possam ser agentes transformadores, através da mudança de hábitos e principalmente desenvolvendo suas habilidades matemáticas. Sendo assim, o processo de ensino aprendizagem matemática-meio ambiente é realizado no sentido de oportunizar o conhecimento do mundo e domínio da natureza, com base nas linguagens matemáticas, criando-se condições de melhorar a capacidade de agir na sociedade, assumindo ações permanentes concentradas em um desenvolvimento sustentável para a continuidade da vida na Terra. Nesse diapasão, é possível desenvolver trabalhos pedagógicos “na trilha da matemática: do raciocínio ao meio-ambiente”. A resolução de situações problemas e assuntos referentes ao meio ambiente fazem com que os alunos tomem os cuidados necessários para com o meio ambiente, aos recursos por ele oferecidos e as consequências das ações errôneas causadas pelo homem.

Technology Language and Frankenstein Strategy

Teaching architecture is experiencing a moment of opportunity. New methods, like constructivist pedagogy, based on complexity and integration are yet to be explored. In this context of opportunity teaching architecture has a duty to integrate complexity in their curriculum. Teaching methods should also assume inherent indeterminacy and contingency of all complex process. If we accept this condition as part of any teaching method, the notion of truth or falsehood it becomes irrelevant. In this regard it could focus on teaching to contingency of language. Traditionally, technology is defined as the language of science. If we assume contingency as one of the characteristics of language, we could say that technology is also contingent. Therefore we could focus technology teaching to redefine its own vocabulary. So, redefining technological vocabulary could be an area of opportunity for education in architecture. The student could redefine their own tools, technology, to later innovate with them. First redefine the vocabulary, the technology, and then construct the new language, the technique. In the case of Building Technology subjects, it should also incorporate a more holistic approach for enhancing interdisciplinary transfer. Technical transfer, either from nature or other technologies to the field of architecture, is considered as a field of great educational possibilities. Evenmore, student get much broader technical approach that transgresses the boundaries of architectural discipline.

Integrating the development of data mining and data warehouses via model-driven engineering

Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data mining lacks a modelling architecture that allows analysts to consider it as a truly software-engineering process. Bearing in mind this situation, we propose a model-driven approach which is based on (i) a conceptual modelling framework for data mining, and (ii) a set of model transformations to automatically generate both the data under analysis (that is deployed via data-warehousing technology) and the analysis models for data mining (tailored to a specific platform). Thus, analysts can concentrate on understanding the analysis problem via conceptual data-mining models instead of wasting efforts on low-level programming tasks related to the underlying-platform technical details. These time consuming tasks are now entrusted to the model-transformations scaffolding. The feasibility of our approach is shown by means of a hypothetical data-mining scenario where a time series analysis is required.