Responsible innovation: bringing together technology assessment, applied ethics, and STS research

Paper presented as "key note" at the Doctorate Conference on Technology Assessment in June 2011, at FCT-UNL, Monte de Caparica.

Urban land cover change detection analysis and modeling spatio-temporal Growth dynamics using Remote Sensing and GIS Techniques: A case study of Dhaka, Bangladesh

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Leading teaming: Evidence from Jazz

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Da assistência aos pobres aos cuidados de saúde primários em Portugal : o papel da enfermagem : 1926-2002

RESUMO - Este estudo analisa a forma como os cuidados de saúde não hospitalares e a enfermagem comunitária, se desenvolveram e se influenciaram mutuamente, no período 1926-2002. Trata-se de um estudo histórico que recorre a fontes escritas, imagéticas e orais, e utiliza conceções do novo institucionalismo e os conceitos de poder e biopoder de Foucault, para investigar este processo. Apresenta e analisa as origens destes cuidados e da enfermagem comunitária, o modo como se institucionalizaram e como evoluíram. A criação e desenvolvimento dos cuidados de saúde não hospitalares foram acompanhados pela individualização da enfermagem comunitária. As políticas e práticas dos cuidados de saúde primários e da enfermagem comunitária apresentam uma clara dependência do percurso já realizado. A sua génese está ligada a práticas de caridade cristã de assistência aos mais pobres liderada pelas Misericórdias e ordens religiosas. O novo entendimento sobre o papel do Estado relativamente à saúde conduziu à criação de instituições não hospitalares e à diferenciação da enfermagem comunitária. Assinale-se como momentos positivos para enfermeiros e instituições a formação das visitadoras sanitárias, apoio à formação em saúde pública pela Fundação Rockefeller, a criação de instituições corporativas, privadas e públicas de cuidados não hospitalares, a reforma de 1971 e o movimento dos CSP. As políticas institucionais condicionaram o próprio desenvolvimento e o da enfermagem comunitária, devido aos estereótipos associados ao papel da mulher, à multiplicidade e disparidade de formações e às visões divergentes sobre o que era a enfermagem comunitária. Este processo de desenvolvimento entretecido entre enfermagem comunitária e CSP apresenta influências e contributos mútuos. Os cuidados de saúde não hospitalares proporcionaram aos enfermeiros formação, desenvolvimento profissional, oportunidade de uma intervenção diversificada e com elevado grau de autonomia. Já estes trouxeram aproximação à comunidade, atenção especial aos mais vulneráveis, criatividade, capacidade de adaptação perante condições adversas, contribuindo para a visibilidade e relevância afetiva dos CSP.

Chromatic reintegration of historical mortars with lime-based pozzolanic consolidant products

3rd Historic Mortars Conference, 11-14 September 2013, Glasgow, Scotland

Creation of a web application for smart park system and parking prediction study for system integration

In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.

How can clusters help in the product type choice? The case of a specialized retail store

This work project (WP) is a study about a clustering strategy for Sport Zone. The general cluster study’s objective is to create groups such that within each group the individuals are similar to each other, but should be different among groups. The clusters creation is a mix of common sense, trial and error and some statistical supporting techniques. Our particular objective is to support category managers to better define the product type to be displayed in the stores’ shelves by doing store clusters. This research was carried out for Sport Zone, and comprises an objective definition, a literature review, the clustering activity itself, some factor analysis and a discriminant analysis to better frame our work. Together with this quantitative part, a survey addressed to category managers to better understand their key drivers, for choosing the type of product of each store, was carried out. Based in a non-random sample of 65 stores with data referring to 2013, the final result was the choice of 6 store clusters (Figure 1) which were individually characterized as the main outcome of this work. In what relates to our selected variables, all were important for the distinction between clusters, which proves the adequacy of their choice. The interpretation of the results gives category managers a tool to understand which products best fit the clustered stores. Furthermore, as a side finding thanks to the clusterization, a STP (Segmentation, Targeting and Positioning) was initiated, being this WP the first steps of a continuous process.

The economics of Vieira da Silva

This paper investigates the time valuation and the age valuation profile of art-works created by the Portuguese female painter Maria Helena Vieira da Silva. It uses data from records from her paintings auction sales between 1986 and 2014, taken from Artprice.com. The study explores three aspects regarding her artistic career: (1) estimation of Age-valuation profile, defining her creativity pattern and the age at which she produced her most valuable paintings; (2) estimation of time valuation profile, through a creation of an individual hedonic price index for Vieira da Silva; (3) internationalization phenomenon of the artist, investigating whether selling prices are primarily set in euros or in US dollar. The results suggest that Vieira da Silva peaked quite early in her career; her paintings prices are not very sensible to economic cycles and tends to slightly increase afterlife; the empirical results are not suggestive on which currency is the best predictor of her paintings’ price.

Lag-user method: Using laggards to leverage user innovation

Laggards are the last users to adopt a product. Prior literature on user-led innovation ignores laggards’ impact on innovation. In this paper, we develop the Lag-User Method, through which laggards can generate new ideas. Through six studies with 62 teams in three countries, we apply the method to different technologies and services and present our findings to executives to get managerial insights. Findings reveal that laggards who generate new ideas (lag-users) have different perceptions of user-friendly products and different unfulfilled needs. They prefer simple products. We propose that by involving lag-users in NPD, firms can improve the effectiveness of NPD.

Decisions of technology innovation: the role of indicators

This work presents research conducted to understand the role of indicators in decisions of technology innovation. A gap was detected in the literature of innovation and technology assessment about the use and influence of indicators in this type of decision. It was important to address this gap because indicators are often frequent elements of innovation and technology assessment studies. The research was designed to determine the extent of the use and influence of indicators in decisions of technology innovation, to characterize the role of indicators in these decisions, and to understand how indicators are used in these decisions. The latter involved the test of four possible explanatory factors: the type and phase of decision, and the context and process of construction of evidence. Furthermore, it focused on three Portuguese innovation groups: public researchers, business R&D&I leaders and policymakers. The research used a combination of methods to collect quantitative and qualitative information, such as surveys, case studies and social network analysis. This research concluded that the use of indicators is different from their influence in decisions of technology innovation. In fact, there is a high use of indicators in these decisions, but lower and differentiated differences in their influence in each innovation group. This suggests that political-behavioural methods are also involved in the decisions to different degrees. The main social influences in the decisions came mostly from hierarchies, knowledge-based contacts and users. Furthermore, the research established that indicators played mostly symbolic roles in decisions of policymakers and business R&D&I leaders, although their role with researchers was more differentiated. Indicators were also described as helpful instruments to conduct a reasonable interpretation of data and to balance options in innovation and technology assessments studies, in particular when contextualised, described in detail and with discussion upon the options made. Results suggest that there are four main explanatory factors for the role of indicators in these decisions: First, the type of decision appears to be a factor to consider when explaining the role of indicators. In fact, each type of decision had different influences on the way indicators are used, and each type of decision used different types of indicators. Results for policy-making were particularly different from decisions of acquisition and development of products/technology. Second, the phase of the decision can help to understand the role indicators play in these decisions. Results distinguished between two phases detected in all decisions – before and after the decision – as well as two other phases that can be used to complement the decision process and where indicators can be involved. Third, the context of decision is an important factor to consider when explaining the way indicators are taken into consideration in policy decisions. In fact, the role of indicators can be influenced by the particular context of the decision maker, in which all types of evidence can be selected or downplayed. More importantly, the use of persuasive analytical evidence appears to be related with the dispute existent in the policy context. Fourth and last, the process of construction of evidence is a factor to consider when explaining the way indicators are involved in these decisions. In fact, indicators and other evidence were brought to the decision processes according to their availability and capacity to support the different arguments and interests of the actors and stakeholders. In one case, an indicator lost much persuasion strength with the controversies that it went through during the decision process. Therefore, it can be argued that the use of indicators is high but not very influential; their role is mostly symbolic to policymakers and business decisions, but varies among researchers. The role of indicators in these decisions depends on the type and phase of the decision and the context and process of construction of evidence. The latter two are related to the particular context of each decision maker, the existence of elements of dispute and controversies that influence the way indicators are introduced in the decision-making process.

The value creation radar applied to the space engineering sector

This case study illustrates the application of the Value Creation Radar (VCR) to SenSyF, an Earth Observation (EO) system which was developed by Deimos Engenharia S.A. (DME), the Portuguese affiliate of Elecnor Deimos. It describes how a team of consultants adopted the VCR in order to find new market applications for SenSyF, selected the one with the highest potential, and defined a path to guarantee a sustainable market launch. This case study highlights the main challenges of bringing a technology-driven company closer to the market in the pursuit of long-term sustainability, while not compromising its technological capabilities