Building the capacity for learning and change through reflective conversation

Conversation is central to the process of organizational learning and change. Drawing on the notion of reflective conversation, we describe an action research project, "learning through listening" in Omega, a residential healthcare organization. In this project, service users, staff, members of management committees, trustees, managers, and central office staff participated in listening to each other and in working together towards building capacity for creating their own vision of how the organization could move into the future, according to its values and ethos. In doing so they developed ways of engaging in reflective conversation that enabled progress towards a strategic direction.

Representing Afghanistan: The United States and Democracy's Imposition

There is an ongoing mission in Afghanistan; a mission driven by external political forces. At its core this mission hopes to establish peace, to protect the populace, and to install democracy. Each of these goals has remained just that, a goal, for the past eight years as the American and international mission in Afghanistan has enjoyed varied levels of commitment. Currently, the stagnant progress in Afghanistan has led the international community to become increasingly concerned about the viability of a future Afghan state. Most of these questions take root in the question over whether or not an Afghan state can function without the auspices of international terrorism. Inevitably, the normative question of what exactly that government should be arises from this base concern. In formulating a response to this question, the consensus of western society has been to install representative democracy. This answer has been a recurring theme in the post Cold War era as states such as Bosnia and Somalia bear witness to the ill effects of external democratic imposition. I hypothesize that the current mold of externally driven state-building is unlikely to result in what western actors seek it to establish: representative democracy. By primarily examining the current situation in Afghanistan, I claim that external installation of representative democracy is modally flawed in that its process mandates choice. Representative democracy by definition constitutes a government reflective of its people, or electorate. Thus, freedom of choice is necessary for a functional representative democracy. From this, one can deduce that because an essential function of democracy is choice, its implementation lies with the presence of choice. State-building is an imposition that eliminates that necessary ingredient. The two stand as polar opposites that cannot effectively collaborate. Security, governing capacity, and development have all been targeted as measurements of success in Afghanistan. The three factors are generally seen as mutually constitutive; so improved security is seen as improving governing capacity. Thus, the recent resurgence of the Taliban in Afghanistan and a deteriorating security environment moving forward has demonstrated the inability of the Afghan government to govern. The primary reason for the Afghan government’s deficiencies is its lack of legitimacy among its constituency. Even the use of the term ‘constituency’ must be qualified because the Afghan government has often oscillated between serving the people within its territorial borders and the international community. The existence of the Afghan state is so dependent on foreign aid and intervention that it has lost policy-making and enforcing power. This is evident by the inability of Afghanistan to engage in basic sovereign state activities as maintaining a national budget, conducting elections, providing for its own national security, and deterring criminality. The Afghan state is nothing more than a shell of a government, and indicative of the failings that external state-building has with establishing democracy.

CATCH across Texas: Building a model for the diffusion of effective school-based health promotion programs

The impact of health promotion programs is related to both program effectiveness and the extent to which the program is implemented among the target population. The purpose of this dissertation was to describe the development and evaluation of a school-based program diffusion intervention designed to increase the rate of dissemination and adoption of the Child and Adolescent Trial for Cardiovascular Health, or CATCH program (recently renamed the Coordinated Approach to Child Health). ^ The first study described the process by which schools across the state of Texas spontaneously began to adopt the CATCH program after it was tested and proven effective in a multi-site randomized efficacy trial. A survey of teachers and administrator representatives of all schools on record that purchased the CATCH program, but were not involved in the efficacy trial, was used to find out who brought CATCH into the schools, how they garnered support for its adoption, why they decided to adopt the program, and what was involved in deciding to adopt. ^ The second study described how the Intervention Mapping framework guided the planning, development and implementation of a program for the diffusion of CATCH. An iterative process was used to integrate theory, literature, the experience of project staff and data from the target population into a meaningful set of program determinants and performance objectives. Proximal program objectives were specified and translated into both media and interpersonal communication strategies for program diffusion. ^ The third study assessed the effectiveness of the diffusion program in a case-comparison design. Three of the twenty Education Service Center regions in Texas were chosen, selected based on similar demographic criteria, and were followed for adoption of the CATCH curriculum. One of these regions received the full media and interpersonal channel intervention; a second received a reduced media-only intervention, and a third received no intervention. Results suggested the use of the interpersonal channels with media follow-up is an effective means to facilitate program dissemination and adoption. The media-alone condition was not effective in facilitating program adoption. ^

Process evaluation of intervention program for prevention of early sexual activity and alcohol use among Hispanic teenagers

Hispanic teens are a high-risk population for initiation of early sexual activity and alcohol use which in turn has numerous social and health consequences. One strategy to address prevention of these behaviors is to implement a capacity building intervention that promotes parent child communication, encompasses their cultural values and community participation. This study describes the process evaluation of a pilot intervention program amongst Hispanic teens and their families living along the Texas-Mexico border. “Girls Lets Talk” is a small group intervention with 10-14 year old teens and their female adult family members that involves education regarding effects of alcohol use and sexual activity as well as activities for monitoring and refusal skills to prevent risky behaviors. Two waves of the program each consisting of at least seven mother daughter dyads were conducted. During the designing process, community advisory board meetings and focus groups were held to review course materials and ensure they were appropriate to the Mexican American culture. Parent and adolescent surveys were administered at the beginning and end of the intervention to assess for psychosocial outcome variables. All sessions received high mean satisfactory scores (mean of 4.00 or better on a five point scale) for both adult and adolescent participants. Qualitative feedback was obtained via debriefing sessions to evaluate experience as well as alter recruitment strategies. A Wilcoxon Sign Rank analysis of the pre and post intervention surveys was done that showed significant changes in some outcome variables such as intentions and confidence for monitoring behaviors for adults and beliefs regarding sexual activity. “Girls Lets Talk” is a promising example of how a process evaluation plan can help develop a theory based health promotion program using the community based participatory research approach. The intervention may also be effective in altering intentions and enhancing self-efficacy among parents and teens in order to decrease risky behaviors such as early sexual activity and alcohol use.^

DISCHARGE PLANNING: A PROCESS MODEL

As the requirements for health care hospitalization have become more demanding, so has the discharge planning process become a more important part of the health services system. A thorough understanding of hospital discharge planning can, then, contribute to our understanding of the health services system. This study involved the development of a process model of discharge planning from hospitals. Model building involved the identification of factors used by discharge planners to develop aftercare plans, and the specification of the roles of these factors in the development of the discharge plan. The factors in the model were concatenated in 16 discrete decision sequences, each of which produced an aftercare plan.^ The sample for this study comprised 407 inpatients admitted to the M. D. Anderson Hospital and Tumor Institution at Houston, Texas, who were discharged to any site within Texas during a 15 day period. Allogeneic bone marrow donors were excluded from the sample. The factors considered in the development of discharge plans were recorded by discharge planners and were used to develop the model. Data analysis consisted of sorting the discharge plans using the plan development factors until for some combination and sequence of factors all patients were discharged to a single site. The arrangement of factors that led to that aftercare plan became a decision sequence in the model.^ The model constructs the same discharge plans as those developed by hospital staff for every patient in the study. Tests of the validity of the model should be extended to other patients at the MDAH, to other cancer hospitals, and to other inpatient services. Revisions of the model based on these tests should be of value in the management of discharge planning services and in the design and development of comprehensive community health services.^

Gestión del territorio y proceso de construcción de la ciudad : reacciones y posicionamientos ante la redefinición de la normativa urbanística para las áreas centrales de Rosario

El artículo se refiere a la propuesta de la Secretaría de Planeamiento de la Municipalidad de Rosario para el reordenamiento urbanístico del área central y primer anillo perimetral expuesta públicamente en marzo 2007 y al proceso de discusión previo a su elevación al Concejo Municipal para su tratamiento en la ciudad de Rosario. Se trata de dar cuenta acerca de las dificultades encontradas –y los intereses manifestados– para arribar a una propuesta consensuada acerca de la transformación y futuro de la ciudad y del valor otorgado a su patrimonio construido. En el trabajo a presentar se abordará las siguientes cuestiones: situación en el momento en que se formula la propuesta, la propuesta de reordenamiento urbanístico, los mecanismos de discusión, la reacción de los actores, la oposición del mercado inmobiliario (Cámara Argentina de la Construcción, Asociación de empresarios de la Vivienda, Cámara Inmobiliaria, Colegio de Arquitectos), la opinión y participación de los concejales y del mundo académico, las propuestas de los vecinos y la opinión del comité de expertos convocados para la audiencia pública. El trabajo se basa fundamentalmente en el análisis del discurso de los distintos actores en base notas oficiales, comunicados de prensa, apuntes de reuniones, información periodística, presentaciones escritas ante la audiencia pública, documentos de expertos. Para la interpretación de la dinámica del proceso de construcción de tiene en cuenta la documentación municipal respecto de la dinámica de la construcción en la ciudad en los últimos años, la opinión de economistas especializados en el tema y la opinión de agentes inmobiliarios.

Major cellular and physiological impacts of ocean acidification on a reef building coral

As atmospheric levels of CO2 increase, reef-building corals are under greater stress from both increased sea surface temperatures and declining sea water pH. To date, most studies have focused on either coral bleaching due to warming oceans or declining calcification due to decreasing oceanic carbonate ion concentrations. Here, through the use of physiology measurements and cDNA microarrays, we show that changes in pH and ocean chemistry consistent with two scenarios put forward by the Intergovernmental Panel on Climate Change (IPCC) drive major changes in gene expression, respiration, photosynthesis and symbiosis of the coral, Acropora millepora, before affects on biomineralisation are apparent at the phenotype level. Under high CO2 conditions corals at the phenotype level lost over half their Symbiodinium populations, and had a decrease in both photosynthesis and respiration. Changes in gene expression were consistent with metabolic suppression, an increase in oxidative stress, apoptosis and symbiont loss. Other expression patterns demonstrate upregulation of membrane transporters, as well as the regulation of genes involved in membrane cytoskeletal interactions and cytoskeletal remodeling. These widespread changes in gene expression emphasize the need to expand future studies of ocean acidification to include a wider spectrum of cellular processes, many of which may occur before impacts on calcification.

Decentralization in Nation State Building of Indonesia

Introduction：Today, many countries, regardless of developed or developing, are trying to promote decentralization. According to Manor, as his quoting of Nickson’s argument, decentralization stems from the necessity to strengthen local governments as proxy of civil society to fill the yawning gap between the state and civil society (Manor [1999]: 30). With the end to the Cold War following the collapse of the Soviet Union rendering the cause of the “leadership of the central government to counter communism” meaningless, Manor points out, it has become increasingly difficult to respond flexibly to changes in society under the centralized system. Then, what benefits can be expected from the effectuation of decentralization? Litvack-Ahmad-Bird cited the four points: attainment of allocative efficiency in the face of different local preferences for local public goods; improvement to government competitiveness; realization of good governance; and enhancement of the legitimacy and sustainability of heterogeneous national states (Litvack, Ahmad & Bird [1998]: 5). They all contribute to reducing the economic and social costs of a central government unable to respond to changes in society and enhancing the efficiency of state administration through the delegation of authority to local governments. Why did Indonesia have a go at decentralization? As Maryanov recognizes, reasons for the implementation of decentralization in Indonesia have never been explicitly presented (Maryanov [1958]: 17). But there was strong momentum toward building a democratic state in Indonesia at the time of independence, and as indicated by provisions of Article 18 of the 1945 Constitution, there was the tendency in Indonesia from the beginning to debate decentralization in association with democratization. That said debate about democratization was fairly abstract and the main points are to ease the tensions, quiet the complaints, satisfy the political forces and thus stabilize the process of government (Maryanov [1958]: 26-27). 　　　What triggered decentralization in Indonesia in earnest, of course, was the collapse of the Soeharto regime in May 1998. The Soeharto regime, regarded as the epitome of the centralization of power, became incapable of effectively dealing with problems in administration of the state and development administration. Besides, the post-Soeharto era of “reform (reformasi)” demanded the complete wipeout of the Soeharto image. In contraposition to the centralization of power was decentralization. The Soeharto regime that ruled Indonesia for 32 years was established in 1966 under the banner of “anti-communism.” The end of the Cold War structure in the late 1980s undermined the legitimate reason the centralization of power to counter communism claimed by the Soeharto regime. The factor for decentralization cited by Manor is applicable here. 　　　Decentralization can be interpreted to mean not only the reversal of the centralized system of government due to its inability to respond to changes in society, as Manor points out, but also the participation of local governments in the process of the nation state building through the more positive transfer of power (democratic decentralization) and in the coordinated pursuit with the central government for a new shape of the state. However, it is also true that a variety of problems are gushing out in the process of implementing decentralization in Indonesia. 　　　This paper discusses the relationship between decentralization and the formation of the nation state with the awareness of the problems and issues described above. Section 1 retraces the history of decentralization by examining laws and regulations for local administration and how they were actually implemented or not. Section 2 focuses on the relationships among the central government, local governments, foreign companies and other actors in the play over the distribution of profits from exploitation of natural resources, and examines the process of the ulterior motives of these actors and the amplification of mistrust spawning intense conflicts that, in extreme cases, grew into separation and independence movements. Section 3 considers the merits and demerits at this stage of decentralization implemented since 2001 and shed light on the significance of decentralization in terms of the nation state building. Finally, Section 4 attempts to review decentralization as the “opportunity to learn by doing” for the central and local governments in the process of the nation state building. 　　　In the context of decentralization in Indonesia, deconcentration (dekonsentrasi), decentralization (desentralisasi) and support assignments (tugas pembantuan; medebewind, a Dutch word, was used previously) are defined as follows. Dekonsentrasi means that when the central government puts a local office of its own, or an outpost agency, in charge of implementing its service without delegating the administrative authority over this particular service. The outpost agency carries out the services as instructed by the central government. A head of a local government, when acting for the central government, gets involved in the process of dekonsentrasi. Desentralisasi, meanwhile, occurs when the central government cedes the administrative authority over a particular service to local governments. Under desentralisasi, local governments can undertake the particular service at their own discretion, and the central government, after the delegation of authority, cannot interfere with how local governments handle that service. Tugas pembantuan occur when the central government makes local governments or villages, or local governments make villages, undertake a particular service. In this case, the central government, or local governments, provides funding, equipment and materials necessary, and officials of local governments and villages undertake the service under the supervision and guidance of the central or local governments. Tugas pembantuan are maintained until local governments and villages become capable of undertaking that particular service on their own.

Increasing popular participation in the treaty-making process : the legislative process of Section 190 of the 2007 Constitution of Thailand

Historically, the authority to conclude international treaties was exclusively exercised by administrative bodies (or the chief of state). However, recent studies pointed out that the present legislative bodies have come to play a more active role through ratification or the review of treaties in European and American countries. Harrington (2005) studied judicial reform in British dominions and criticized the past executive-dominant treaty-making process as a “democratic deficit” due to a fear that under this system the nation might be bound by international agreements for which a consensus had not been obtained. These studies indicated that people’s participation in the treaty-making process has increased on a global basis, but neither of them provides sufficient descriptive evidence regarding why and how such procedures were established. The present paper therefore attempts to solve these questions by analyzing the legislative and political process of the treaty-making procedure reform in Thailand’s 2007 constitution as a case study.

Cooperation in the knowledge transfer process: evidence from the demand side in Mexico

This paper presents the results of the analysis focused on scientific-technological KT in four Mexican firms and carried out by the case study approach. The analysis highlights the use of KT mechanisms as a means to obtain scientific-technological knowledge, learning, building S&T capabilities, and achieve the results of the R&D and innovation by firms.

Building a New Water Culture in Spain

For over 100 years, water policy and man­ agement in Spain have been instruments of economic and social transformation. Sig­ nificant public and private investments in water supply infrastructures have equipped Spain with over 1,200 major dams, 20 major desalination plants ? with more under construction ? and several inter­basin water transfers. The system has been apparently very successful, with an increase in overall water availability, strong associated eco­ nomic development and few urban water supply shortages. This success has been supported by a widespread consensus among a strong and largely closed water policy community made up of water manag­ ers, irrigators, electric (hydropower) utilities and developers.

Los agentes de la edificación desde el punto de vista de la Gestión Integral de Proyectos: diferencias y semejanzas entre la Legislación Española y los Estándares Internacionales = Expert agents in the Global Development of a building project: differences and similarities between Spanish and International contexts.

Desde los años 60, crece en Europa y Estados Unidos la preocupación y la necesidad de mejorar los procesos de gerencia de los proyectos de construcción al volverse estos más complejos. Esto ha llevado a la continua aparición de nuevos profesionales desde la fecha citada hasta nuestros días. De ahí la complejidad de conocer las cualidades de cada uno de ellos, así como las funciones a realizar o la formación que deben tener para poder desarrollar el puesto de trabajo según el papel que desempeñan para cada actividad. Muchos agentes son los que pueden intervenir en la edificación, muchas son las funciones que llevan a cabo estos agentes, muchas son las habilidades que se necesitan para realizar estas misiones, y una buena gestión de la edificación es la que hay que desarrollar para lograr el gran éxito. El presente trabajo fin de máster, dirigido a arquitectos, arquitectos técnicos, ingenieros, abogados, economistas y todos los profesionales del sector inmobiliario y de la construcción, trata de resolver todas aquellas dudas sobre los diferentes sujetos que estarán presentes desde la definición del proyecto en la fase inicial hasta el final de la obra, pasando por las fases de pre-construcción, construcción y post-construcción. (ENGLISH VERSION) Since the 1960s, most construction projects have become more and more complex, and new concerns and necessities related to the management of a project have been on the rise in Europe and in the United States. Thence, the need for more specialized professionals in the field has become a common fact, as well as the inclusion of new curricular subjects in most building engineering studies. There are different agents that play a relevant role in a building project; some of them are expected to perform a highly specialized set of functions that require specific management skills for the work to be successful. This research work—aimed mainly at engineers, quantity surveyors, lawyers, economists, real estate and construction professionals—shows the major implications of the building construction process including both pre-tender/construction and post-tender/construction stages as far as the main expert agents are involved.

Project based learning activities as a means of adapting conventional curricula to the demands of the 21st century aeronautical engineer: The design and building of the EYEFLY 1.

In this paper we report the process of designing and building the EYEFLY 1, a real UAS platform which has just performed its maiden flight. For the development of this aircraft, 30 groups of students from successive years at the Escuela Universitaria de Ingeniería Técnica Aeronáutica (EUITA) of the Universidad Politécnica de Madrid (UPM) carried out their compulsory End of Degree Project as a coordinated Project Based learning activity. Our conclusions clearly indicate that Project Based Learning activities can provide a valid complement to more conventional, theoretically-based, teaching methods. The combination of both approaches will allow us to maintain traditional but well-tested methods for providing our students with a sound knowledge of fundamental engineering disciplines and, at the same time, to introduce our students to exciting and relevant engineering situations and sceneries where social and business skills, such as communication skills, team-working or decision-taking, can be put into practice.

Contributions to Bayesian network learning with applications to neuroscience

Neuronal morphology is a key feature in the study of brain circuits, as it is highly related to information processing and functional identification. Neuronal morphology affects the process of integration of inputs from other neurons and determines the neurons which receive the output of the neurons. Different parts of the neurons can operate semi-independently according to the spatial location of the synaptic connections. As a result, there is considerable interest in the analysis of the microanatomy of nervous cells since it constitutes an excellent tool for better understanding cortical function. However, the morphologies, molecular features and electrophysiological properties of neuronal cells are extremely variable. Except for some special cases, this variability makes it hard to find a set of features that unambiguously define a neuronal type. In addition, there are distinct types of neurons in particular regions of the brain. This morphological variability makes the analysis and modeling of neuronal morphology a challenge. Uncertainty is a key feature in many complex real-world problems. Probability theory provides a framework for modeling and reasoning with uncertainty. Probabilistic graphical models combine statistical theory and graph theory to provide a tool for managing domains with uncertainty. In particular, we focus on Bayesian networks, the most commonly used probabilistic graphical model. In this dissertation, we design new methods for learning Bayesian networks and apply them to the problem of modeling and analyzing morphological data from neurons. The morphology of a neuron can be quantified using a number of measurements, e.g., the length of the dendrites and the axon, the number of bifurcations, the direction of the dendrites and the axon, etc. These measurements can be modeled as discrete or continuous data. The continuous data can be linear (e.g., the length or the width of a dendrite) or directional (e.g., the direction of the axon). These data may follow complex probability distributions and may not fit any known parametric distribution. Modeling this kind of problems using hybrid Bayesian networks with discrete, linear and directional variables poses a number of challenges regarding learning from data, inference, etc. In this dissertation, we propose a method for modeling and simulating basal dendritic trees from pyramidal neurons using Bayesian networks to capture the interactions between the variables in the problem domain. A complete set of variables is measured from the dendrites, and a learning algorithm is applied to find the structure and estimate the parameters of the probability distributions included in the Bayesian networks. Then, a simulation algorithm is used to build the virtual dendrites by sampling values from the Bayesian networks, and a thorough evaluation is performed to show the model’s ability to generate realistic dendrites. In this first approach, the variables are discretized so that discrete Bayesian networks can be learned and simulated. Then, we address the problem of learning hybrid Bayesian networks with different kinds of variables. Mixtures of polynomials have been proposed as a way of representing probability densities in hybrid Bayesian networks. We present a method for learning mixtures of polynomials approximations of one-dimensional, multidimensional and conditional probability densities from data. The method is based on basis spline interpolation, where a density is approximated as a linear combination of basis splines. The proposed algorithms are evaluated using artificial datasets. We also use the proposed methods as a non-parametric density estimation technique in Bayesian network classifiers. Next, we address the problem of including directional data in Bayesian networks. These data have some special properties that rule out the use of classical statistics. Therefore, different distributions and statistics, such as the univariate von Mises and the multivariate von Mises–Fisher distributions, should be used to deal with this kind of information. In particular, we extend the naive Bayes classifier to the case where the conditional probability distributions of the predictive variables given the class follow either of these distributions. We consider the simple scenario, where only directional predictive variables are used, and the hybrid case, where discrete, Gaussian and directional distributions are mixed. The classifier decision functions and their decision surfaces are studied at length. Artificial examples are used to illustrate the behavior of the classifiers. The proposed classifiers are empirically evaluated over real datasets. We also study the problem of interneuron classification. An extensive group of experts is asked to classify a set of neurons according to their most prominent anatomical features. A web application is developed to retrieve the experts’ classifications. We compute agreement measures to analyze the consensus between the experts when classifying the neurons. Using Bayesian networks and clustering algorithms on the resulting data, we investigate the suitability of the anatomical terms and neuron types commonly used in the literature. Additionally, we apply supervised learning approaches to automatically classify interneurons using the values of their morphological measurements. Then, a methodology for building a model which captures the opinions of all the experts is presented. First, one Bayesian network is learned for each expert, and we propose an algorithm for clustering Bayesian networks corresponding to experts with similar behaviors. Then, a Bayesian network which represents the opinions of each group of experts is induced. Finally, a consensus Bayesian multinet which models the opinions of the whole group of experts is built. A thorough analysis of the consensus model identifies different behaviors between the experts when classifying the interneurons in the experiment. A set of characterizing morphological traits for the neuronal types can be defined by performing inference in the Bayesian multinet. These findings are used to validate the model and to gain some insights into neuron morphology. Finally, we study a classification problem where the true class label of the training instances is not known. Instead, a set of class labels is available for each instance. This is inspired by the neuron classification problem, where a group of experts is asked to individually provide a class label for each instance. We propose a novel approach for learning Bayesian networks using count vectors which represent the number of experts who selected each class label for each instance. These Bayesian networks are evaluated using artificial datasets from supervised learning problems. Resumen La morfología neuronal es una característica clave en el estudio de los circuitos cerebrales, ya que está altamente relacionada con el procesado de información y con los roles funcionales. La morfología neuronal afecta al proceso de integración de las señales de entrada y determina las neuronas que reciben las salidas de otras neuronas. Las diferentes partes de la neurona pueden operar de forma semi-independiente de acuerdo a la localización espacial de las conexiones sinápticas. Por tanto, existe un interés considerable en el análisis de la microanatomía de las células nerviosas, ya que constituye una excelente herramienta para comprender mejor el funcionamiento de la corteza cerebral. Sin embargo, las propiedades morfológicas, moleculares y electrofisiológicas de las células neuronales son extremadamente variables. Excepto en algunos casos especiales, esta variabilidad morfológica dificulta la definición de un conjunto de características que distingan claramente un tipo neuronal. Además, existen diferentes tipos de neuronas en regiones particulares del cerebro. La variabilidad neuronal hace que el análisis y el modelado de la morfología neuronal sean un importante reto científico. La incertidumbre es una propiedad clave en muchos problemas reales. La teoría de la probabilidad proporciona un marco para modelar y razonar bajo incertidumbre. Los modelos gráficos probabilísticos combinan la teoría estadística y la teoría de grafos con el objetivo de proporcionar una herramienta con la que trabajar bajo incertidumbre. En particular, nos centraremos en las redes bayesianas, el modelo más utilizado dentro de los modelos gráficos probabilísticos. En esta tesis hemos diseñado nuevos métodos para aprender redes bayesianas, inspirados por y aplicados al problema del modelado y análisis de datos morfológicos de neuronas. La morfología de una neurona puede ser cuantificada usando una serie de medidas, por ejemplo, la longitud de las dendritas y el axón, el número de bifurcaciones, la dirección de las dendritas y el axón, etc. Estas medidas pueden ser modeladas como datos continuos o discretos. A su vez, los datos continuos pueden ser lineales (por ejemplo, la longitud o la anchura de una dendrita) o direccionales (por ejemplo, la dirección del axón). Estos datos pueden llegar a seguir distribuciones de probabilidad muy complejas y pueden no ajustarse a ninguna distribución paramétrica conocida. El modelado de este tipo de problemas con redes bayesianas híbridas incluyendo variables discretas, lineales y direccionales presenta una serie de retos en relación al aprendizaje a partir de datos, la inferencia, etc. En esta tesis se propone un método para modelar y simular árboles dendríticos basales de neuronas piramidales usando redes bayesianas para capturar las interacciones entre las variables del problema. Para ello, se mide un amplio conjunto de variables de las dendritas y se aplica un algoritmo de aprendizaje con el que se aprende la estructura y se estiman los parámetros de las distribuciones de probabilidad que constituyen las redes bayesianas. Después, se usa un algoritmo de simulación para construir dendritas virtuales mediante el muestreo de valores de las redes bayesianas. Finalmente, se lleva a cabo una profunda evaluaci ón para verificar la capacidad del modelo a la hora de generar dendritas realistas. En esta primera aproximación, las variables fueron discretizadas para poder aprender y muestrear las redes bayesianas. A continuación, se aborda el problema del aprendizaje de redes bayesianas con diferentes tipos de variables. Las mixturas de polinomios constituyen un método para representar densidades de probabilidad en redes bayesianas híbridas. Presentamos un método para aprender aproximaciones de densidades unidimensionales, multidimensionales y condicionales a partir de datos utilizando mixturas de polinomios. El método se basa en interpolación con splines, que aproxima una densidad como una combinación lineal de splines. Los algoritmos propuestos se evalúan utilizando bases de datos artificiales. Además, las mixturas de polinomios son utilizadas como un método no paramétrico de estimación de densidades para clasificadores basados en redes bayesianas. Después, se estudia el problema de incluir información direccional en redes bayesianas. Este tipo de datos presenta una serie de características especiales que impiden el uso de las técnicas estadísticas clásicas. Por ello, para manejar este tipo de información se deben usar estadísticos y distribuciones de probabilidad específicos, como la distribución univariante von Mises y la distribución multivariante von Mises–Fisher. En concreto, en esta tesis extendemos el clasificador naive Bayes al caso en el que las distribuciones de probabilidad condicionada de las variables predictoras dada la clase siguen alguna de estas distribuciones. Se estudia el caso base, en el que sólo se utilizan variables direccionales, y el caso híbrido, en el que variables discretas, lineales y direccionales aparecen mezcladas. También se estudian los clasificadores desde un punto de vista teórico, derivando sus funciones de decisión y las superficies de decisión asociadas. El comportamiento de los clasificadores se ilustra utilizando bases de datos artificiales. Además, los clasificadores son evaluados empíricamente utilizando bases de datos reales. También se estudia el problema de la clasificación de interneuronas. Desarrollamos una aplicación web que permite a un grupo de expertos clasificar un conjunto de neuronas de acuerdo a sus características morfológicas más destacadas. Se utilizan medidas de concordancia para analizar el consenso entre los expertos a la hora de clasificar las neuronas. Se investiga la idoneidad de los términos anatómicos y de los tipos neuronales utilizados frecuentemente en la literatura a través del análisis de redes bayesianas y la aplicación de algoritmos de clustering. Además, se aplican técnicas de aprendizaje supervisado con el objetivo de clasificar de forma automática las interneuronas a partir de sus valores morfológicos. A continuación, se presenta una metodología para construir un modelo que captura las opiniones de todos los expertos. Primero, se genera una red bayesiana para cada experto y se propone un algoritmo para agrupar las redes bayesianas que se corresponden con expertos con comportamientos similares. Después, se induce una red bayesiana que modela la opinión de cada grupo de expertos. Por último, se construye una multired bayesiana que modela las opiniones del conjunto completo de expertos. El análisis del modelo consensuado permite identificar diferentes comportamientos entre los expertos a la hora de clasificar las neuronas. Además, permite extraer un conjunto de características morfológicas relevantes para cada uno de los tipos neuronales mediante inferencia con la multired bayesiana. Estos descubrimientos se utilizan para validar el modelo y constituyen información relevante acerca de la morfología neuronal. Por último, se estudia un problema de clasificación en el que la etiqueta de clase de los datos de entrenamiento es incierta. En cambio, disponemos de un conjunto de etiquetas para cada instancia. Este problema está inspirado en el problema de la clasificación de neuronas, en el que un grupo de expertos proporciona una etiqueta de clase para cada instancia de manera individual. Se propone un método para aprender redes bayesianas utilizando vectores de cuentas, que representan el número de expertos que seleccionan cada etiqueta de clase para cada instancia. Estas redes bayesianas se evalúan utilizando bases de datos artificiales de problemas de aprendizaje supervisado.

The analytic hierarchy process to support decision-making processes in infrastructure projects with social impact

There is an increasing awareness among all kinds of organisations (in business,government and civil society) about the benefits of jointly working with stakeholders to satisfy both their goals and the social demands placed upon them. This is particularly the case within corporate social responsibility (CSR) frameworks. In this regard, multi-criteria tools for decision-making like the analytic hierarchy process (AHP) described in the paper can be useful for the building relationships with stakeholders. Since these tools can reveal decision-maker’s preferences, the integration of opinions from various stakeholders in the decision-making process may result in better and more innovative solutions with significant shared value. This paper is based on ongoing research to assess the feasibility of an AHP-based model to support CSR decisions in large infrastructure projects carried out by Red Electrica de España, the sole transmission agent and operator of the Spanishelectricity system.