MICROFINANCE AND CLIMATE CHANGE IMPACTS: THE CASE OF AGROAMIGO IN BRAZIL

ABSTRACTThis paper reports an empirical case study on the interface between microfinance and climate change actions. Climate change, which until recently seemed a luxury for the microfinance sector, now appears to be crucial for its future. For their low adaptive capacity, the millions of microfinance clients worldwide happen to be the most vulnerable to a changing climate. However, such an arena is still blurred from an academic viewpoint, and inexistent among Brazilian academia. Therefore, by investigating Brazil’s largest rural MFI, Agroamigo, we aim at providing an empirical contribution to green microfinance. The main conclusion is that, albeit Agroamigo offers important links to climate change initiatives, it will need to take better account of specific vulnerabilities and risks to protect its portfolio and clients better from climate change impacts.

Recensao de: I. K. Healy, Social Work Practices: Contemporary Perspectives on Change, London, Sage, 2000.

Revista Lusófona de Ciências Sociais

(Virtual) Agents for running electricity markets

This paper describes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The artificial market, named TEMMAS (The Electricity Market Multi-Agent Simulator), explores the integration of two design constructs: (i) the specification of the environmental physical market properties and (ii) the specification of the decision-making (deliberative) and reactive agents. TEMMAS is materialized in an experimental setup involving distinct power generator companies that operate in the market and search for the trading strategies that best exploit their generating units' resources. The experimental results show a coherent market behavior that emerges from the overall simulated environment.

Organization knowledge management change from a complex adaptive systems perpective with ability for ambidexeterity

We are working on the confluence of knowledge management, organizational memory and emergent knowledge with the lens of complex adaptive systems. In order to be fundamentally sustainable organizations search for an adaptive need for managing ambidexterity of day-to-day work and innovation. An organization is an entity of a systemic nature, composed of groups of people who interact to achieve common objectives, making it necessary to capture, store and share interactions knowledge with the organization, this knowledge can be generated in intra-organizational or inter-organizational level. The organizations have organizational memory of knowledge of supported on the Information technology and systems. Each organization, especially in times of uncertainty and radical changes, to meet the demands of the environment, needs timely and sized knowledge on the basis of tacit and explicit. This sizing is a learning process resulting from the interaction that emerges from the relationship between the tacit and explicit knowledge and which we are framing within an approach of Complex Adaptive Systems. The use of complex adaptive systems for building the emerging interdependent relationship, will produce emergent knowledge that will improve the organization unique developing.

Diferenciação curricular para a inclusão de alunos com necessidade educativas especiais no 1º Ciclo do Ensino Básico

Um dos grandes desafios da atualidade reside em construir uma escola inclusiva para todos, respeitando as diferenças entre os alunos e procurando dar resposta a todas as suas necessidades educativas, através do acesso igualitário a uma educação de qualidade, no sentido de uma preparação para a vida social e profissional ao longo da vida. Desta forma, é necessária uma mudança não só na maneira de pensar como também nas práticas dos agentes educativos, no sentido de adequarem o currículo às necessidades educativas especiais dos alunos. O presente estudo constitui, pois, uma tentativa de conhecer não apenas as conceções dos professores do 1º Ciclo do Ensino Básico sobre a inclusão e as adaptações curriculares para alunos com NEE, mas também as práticas curriculares que desenvolvem quando têm estes alunos nas suas turmas. O trabalho desenvolveu-se através de um estudo de caso, incidindo sobre 6 professores do 1º CEB e respetivas turmas com alunos com NEE incluídos. Como metodologia de recolha de dados utilizámos as técnicas da entrevista, da análise documental e da observação naturalista em contexto de sala de aula. Articulando os resultados das entrevistas com os das observações em sala de aula, podemos concluir que, para que a escola seja efetivamente inclusiva, não basta que os professores adotem este conceito. Algumas das maiores dificuldades que se colocaram aos professores foram a gestão do tempo e a adequação de estratégias no atendimento a todos os alunos, o que decorre da forma de organização do ensino, uma vez que os professores continuam a percecionar o seu papel como transmissores de conteúdos e executores de programas, apostando num ensino unilateral e homogéneo. No entanto, foi possível também verificar algumas formas de diferenciação pedagógica, sobretudo através da adequação da estrutura dos trabalhos individuais, do apoio individualizado do professor aos alunos com mais dificuldades ou da tutoria interpares e da realização de diferentes atividades consoante as necessidades específicas de cada aluno.- ABSTRACT One of today´s main challenges lies on building an inclusive school for everyone, respecting students’ differences, giving an answer to their educational needs through equal access to qualified education, preparing them to their professional future and social life. Consequently, a change is necessary, not only in the way of thinking but also in the practices of the educational agents, to adequate the curriculum to the special educational students’ needs. The present study is an attempt to understand not only the conceptions of the elementary school teachers about the inclusion and the curricular adjustments for students with special educational needs, but also the curricular practices they develop when those students are included in their classes. This work was developed through a study case focused on six elementary school teachers and their respective classes with students with special educational needs included. The data collection methods used were interview techniques, documental analysis and context observation in classroom. Articulating the interview results with the classroom observations we can conclude that for a school to be effectively inclusive, the adoption of those conceptions are not enough. Some of the major difficulties that appear to the teachers were time management and adequate strategies on attending all students, which follows from their teaching organization, since teachers are still carrying their role as pure contents transmitters and programs implementers, investing in a unilateral and homogeneous education. However, it was also possible to ascertain some pedagogical differentiation strategies, mainly through individual work adaptation, direct and individualized teacher’s support to students with more difficulties or by peer tutoring as well as carrying out different activities depending on the specific needs of each student.

Detection of Change in Fluorescence Between Reactive Cyan and the Yellow Fluorophores Usinga-SiC:H Multilayer Transducers

Optical colour sensors based on multilayered a-SiC:H heterostructures can act as voltage controlled optical filters in the visible range. In this article we investigate the application of these structures for Fluorescence Resonance Energy Transfer (FRET) detection, The characteristics of a-SiC:H multilayered structure are studied both theoretically and experimentally in several wavelengths corresponding to different fluorophores. The tunable optical p-i'(a-SiC:H)-n/p-i(a-Si:H)-n heterostructures were produced by PECVD and tested for a proper fine tuning in the violet, cyan and yellow wavelengths. The devices were characterized through transmittance and spectral response measurements, under different electrical bias and frequencies. Violet, cyan and yellow signals were applied in simultaneous and results have shown that they can be recovered under suitable applied bias. A theoretical analysis supported by numerical simulation is presented.

Electricity Markets Simulation: MASCEM Contributions to the Challenging Reality

Electricity Markets are not only a new reality but an evolving one as the involved players and rules change at a relatively high rate. Multi-agent simulation combined with Artificial Intelligence techniques may result in sophisticated tools very helpful under this context. Some simulation tools have already been developed, some of them very interesting. However, at the present state it is important to go a step forward in Electricity Markets simulators as this is crucial for facing changes in Power Systems. This paper explains the context and needs of electricity market simulation, describing the most important characteristics of available simulators. We present our work concerning MASCEM simulator, presenting its features as well as the improvements being made to accomplish the change and challenging reality of Electricity Markets.

MASCEM: electricity markets simulation with strategic agents

Electricity markets are complex environments, involving numerous entities trying to obtain the best advantages and profits while limited by power-network characteristics and constraints.1 The restructuring and consequent deregulation of electricity markets introduced a new economic dimension to the power industry. Some observers have criticized the restructuring process, however, because it has failed to improve market efficiency and has complicated the assurance of reliability and fairness of operations. To study and understand this type of market, we developed the Multiagent Simulator of Competitive Electricity Markets (MASCEM) platform based on multiagent simulation. The MASCEM multiagent model includes players with strategies for bid definition, acting in forward, day-ahead, and balancing markets and considering both simple and complex bids. Our goal with MASCEM was to simulate as many market models and player types as possible. This approach makes MASCEM both a short- and mediumterm simulation as well as a tool to support long-term decisions, such as those taken by regulators. This article proposes a new methodology integrated in MASCEM for bid definition in electricity markets. This methodology uses reinforcement learning algorithms to let players perceive changes in the environment, thus helping them react to the dynamic environment and adapt their bids accordingly.

From antimicrobial agents to health promotion

A emergência de multiresistência apresentada por microrganismos é um dos grandes desafios que enfrentam actualmente os profissionais de Saúde e a população em geral. Os factores que contribuem para o desenvolvimento de resistência a antibióticos na comunidade podem ser categorizados como comportamentais ou ambientais/políticas. O objectivo deste trabalho foi caracterizar a situação actual na visão dos Pais de alunos do pré-escolar e 1º ciclo. De modo a avaliar as necessidades de intervenção e as actividades a serem desenvolvidas, um instrumento para estudar os hábitos e comportamentos adoptados na utilização de antibióticos, foi adaptado, validado e aplicado numa amostra piloto.

Seller, buyer and VPP agents behavior on a simulated electricity market

Competitive electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is an electricity market simulator able to model market players and simulate their operation in the market. As market players are complex entities, having their characteristics and objectives, making their decisions and interacting with other players, a multi-agent architecture is used and proved to be adequate. MASCEM players have learning capabilities and different risk preferences. They are able to refine their strategies according to their past experience (both real and simulated) and considering other agents’ behavior. Agents’ behavior is also subject to its risk preferences.

MV producers and consumers agents characterization with DSM techniques

This paper consist in the establishment of a Virtual Producer/Consumer Agent (VPCA) in order to optimize the integrated management of distributed energy resources and to improve and control Demand Side Management DSM) and its aggregated loads. The paper presents the VPCA architecture and the proposed function-based organization to be used in order to coordinate the several generation technologies, the different load types and storage systems. This VPCA organization uses a frame work based on data mining techniques to characterize the costumers. The paper includes results of several experimental tests cases, using real data and taking into account electricity generation resources as well as consumption data.

Self-managing agents for dynamic scheduling in manufacturing

The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using cooperative negotiation. Scheduling resolution requires the intervention of highly skilled human problem-solvers. This is a very hard and challenging domain because current systems are becoming more and more complex, distributed, interconnected and subject to rapidly changing. A natural Autonomic Computing (AC) evolution in relation to Current Computing is to provide systems with Self-Managing ability with a minimum human interference.