Interactions in Information Spread

Since the development of writing 5000 years ago, human-generated data gets produced at an ever-increasing pace. Classical archival methods aimed at easing information retrieval. Nowadays, archiving is not enough anymore. The amount of data that gets generated daily is beyond human comprehension, and appeals for new information retrieval strategies. Instead of referencing every single data piece as in traditional archival techniques, a more relevant approach consists in understanding the overall ideas conveyed in data flows. To spot such general tendencies, a precise comprehension of the underlying data generation mechanisms is required. In the rich literature tackling this problem, the question of information interaction remains nearly unexplored. First, we investigate the frequency of such interactions. Building on recent advances made in Stochastic Block Modelling, we explore the role of interactions in several social networks. We find that interactions are rare in these datasets. Then, we wonder how interactions evolve over time. Earlier data pieces should not have an everlasting influence on ulterior data generation mechanisms. We model this using dynamic network inference advances. We conclude that interactions are brief. Finally, we design a framework that jointly models rare and brief interactions based on Dirichlet-Hawkes Processes. We argue that this new class of models fits brief and sparse interaction modelling. We conduct a large-scale application on Reddit and find that interactions play a minor role in this dataset. From a broader perspective, our work results in a collection of highly flexible models and in a rethinking of core concepts of machine learning. Consequently, we open a range of novel perspectives both in terms of real-world applications and in terms of technical contributions to machine learning.Comment: PhD thesis defended on 2022/09/1

Layout Analysis for Handwritten Documents. A Probabilistic Machine Learning Approach

[ES] El Análisis de la Estructura de Documentos (Document Layout Analysis), aplicado a documentos manuscritos, tiene como objetivo obtener automáticamente la estructura intrínseca de dichos documentos. Su desarrollo como campo de investigación se extiende desde los sistemas de segmentación de caracteres desarrollados a principios de la década de 1960 hasta los sistemas complejos desarrollados en la actualidad, donde el objetivo es analizar estructuras de alto nivel (líneas de texto, párrafos, tablas, etc.) y la relación que existe entre ellas. Esta tesis, en primer lugar, define el objetivo del Análisis de la Estructura de Documentos desde una perspectiva probabilística. A continuación, la complejidad del problema se reduce a un conjunto de subproblemas complementarios bien conocidos, de manera que pueda ser gestionado por medio de recursos informáticos modernos. Concretamente se abordan tres de los principales problemas del Análisis de la Estructura de Documentos siguiendo una formulación probabilística. Específicamente se aborda la Detección de Línea Base (Baseline Detection), la Segmentación de Regiones (Region Segmentation) y la Determinación del Orden de Lectura (Reading Order Determination). Uno de los principales aportes de esta tesis es la formalización de los problemas de Detección de Línea Base y Segmentación de Regiones bajo un marco probabilístico, donde ambos problemas pueden ser abordados por separado o de forma integrada por los modelos propuestos. Este último enfoque ha demostrado ser muy útil para procesar grandes colecciones de documentos con recursos informáticos limitados. Posteriormente se aborda el subproblema de la Determinación del Orden de Lectura, que es uno de los subproblemas más importantes, aunque subestimados, del Análisis de la Extructura de Documentos, ya que es el nexo que permite convertir los datos extraídos de los sistemas de Reconocimiento Automático de Texto (Automatic Text Recognition Systems) en información útil. Por lo tanto, en esta tesis abordamos y formalizamos la Determinación del Orden de Lectura como un problema de clasificación probabilística por pares. Además, se proponen dos diferentes algoritmos de decodificación que reducen la complejidad computacional del problema. Por otra parte, se utilizan diferentes modelos estadísticos para representar la distribución de probabilidad sobre la estructura de los documentos. Estos modelos, basados en Redes Neuronales Artificiales (desde un simple Perceptrón Multicapa hasta complejas Redes Convolucionales y Redes de Propuesta de Regiones), se estiman a partir de datos de entrenamiento utilizando algoritmos de aprendizaje automático supervisados. Finalmente, todas las contribuciones se evalúan experimentalmente, no solo en referencias académicas estándar, sino también en colecciones de miles de imágenes. Se han considerado documentos de texto manuascritos y documentos musicales manuscritos, ya que en conjunto representan la mayoría de los documentos presentes en bibliotecas y archivos. Los resultados muestran que los métodos propuestos son muy precisos y versátiles en una amplia gama de documentos manuscritos.[CA] L'Anàlisi de l'Estructura de Documents (Document Layout Analysis), aplicada a documents manuscrits, pretén automatitzar l'obtenció de l'estructura intrínseca d'un document. El seu desenvolupament com a camp d'investigació comprén des dels sistemes de segmentació de caràcters creats al principi dels anys 60 fins als complexos sistemes de hui dia que busquen analitzar estructures d'alt nivell (línies de text, paràgrafs, taules, etc) i les relacions entre elles. Aquesta tesi busca, primer de tot, definir el propòsit de l'anàlisi de l'estructura de documents des d'una perspectiva probabilística. Llavors, una vegada reduïda la complexitat del problema, es processa utilitzant recursos computacionals moderns, per a dividir-ho en un conjunt de subproblemes complementaris més coneguts. Concretament, tres dels principals subproblemes de l'Anàlisi de l'Estructura de Documents s'adrecen seguint una formulació probabilística: Detecció de la Línia Base Baseline Detection), Segmentació de Regions (Region Segmentation) i Determinació de l'Ordre de Lectura (Reading Order Determination). Una de les principals contribucions d'aquesta tesi és la formalització dels problemes de la Detecció de les Línies Base i dels de Segmentació de Regions en un entorn probabilístic, sent els dos problemes tractats per separat o integrats en conjunt pels models proposats. Aquesta última aproximació ha demostrat ser de molta utilitat per a la gestió de grans col·leccions de documents amb uns recursos computacionals limitats. Posteriorment s'ha adreçat el subproblema de la Determinació de l'Ordre de Lectura, sent un dels subproblemes més importants de l'Anàlisi d'Estructures de Documents, encara així subestimat, perquè és el nexe que permet transformar en informació d'utilitat l'extracció de dades dels sistemes de reconeixement automàtic de text. És per això que el fet de determinar l'ordre de lectura s'adreça i formalitza com un problema d'ordenació probabilística per parells. A més, es proposen dos algoritmes descodificadors diferents que reducix la complexitat computacional del problema. Per altra banda s'utilitzen diferents models estadístics per representar la distribució probabilística sobre l'estructura dels documents. Aquests models, basats en xarxes neuronals artificials (des d'un simple perceptron multicapa fins a complexes xarxes convolucionals i de propostes de regió), s'estimen a partir de dades d'entrenament mitjançant algoritmes d'aprenentatge automàtic supervisats. Finalment, totes les contribucions s'avaluen experimentalment, no només en referents acadèmics estàndard, sinó també en col·leccions de milers d'imatges. S'han considerat documents de text manuscrit i documents musicals manuscrits, ja que representen la majoria de documents presents a biblioteques i arxius. Els resultats mostren que els mètodes proposats són molt precisos i versàtils en una àmplia gamma de documents manuscrits.[EN] Document Layout Analysis, applied to handwritten documents, aims to automatically obtain the intrinsic structure of a document. Its development as a research field spans from the character segmentation systems developed in the early 1960s to the complex systems designed nowadays, where the goal is to analyze high-level structures (lines of text, paragraphs, tables, etc) and the relationship between them. This thesis first defines the goal of Document Layout Analysis from a probabilistic perspective. Then, the complexity of the problem is reduced, to be handled by modern computing resources, into a set of well-known complementary subproblems. More precisely, three of the main subproblems of Document Layout Analysis are addressed following a probabilistic formulation, namely Baseline Detection, Region Segmentation and Reading Order Determination. One of the main contributions of this thesis is the formalization of Baseline Detection and Region Segmentation problems under a probabilistic framework, where both problems can be handled separately or in an integrated way by the proposed models. The latter approach is proven to be very useful to handle large document collections under restricted computing resources. Later, the Reading Order Determination subproblem is addressed. It is one of the most important, yet underestimated, subproblem of Document Layout Analysis, since it is the bridge that allows us to convert the data extracted from Automatic Text Recognition systems into useful information. Therefore, Reading Order Determination is addressed and formalized as a pairwise probabilistic sorting problem. Moreover, we propose two different decoding algorithms that reduce the computational complexity of the problem. Furthermore, different statistical models are used to represent the probability distribution over the structure of the documents. These models, based on Artificial Neural Networks (from a simple Multilayer Perceptron to complex Convolutional and Region Proposal Networks), are estimated from training data using supervised Machine Learning algorithms. Finally, all the contributions are experimentally evaluated, not only on standard academic benchmarks but also in collections of thousands of images. We consider handwritten text documents and handwritten musical documents as they represent the majority of documents in libraries and archives. The results show that the proposed methods are very accurate and versatile in a very wide range of handwritten documents.Quirós Díaz, L. (2022). Layout Analysis for Handwritten Documents. A Probabilistic Machine Learning Approach [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/18148

Study Abroad as a Multifaceted Approach to Supporting College Sophomores: Creating Optimal Environments to Promote Intercultural Maturity

Leaders in higher education bear the responsibility of creating educational environments and programming that promote student development and help prepare graduates to work, live, and lead in today\u27s interconnected and global society. Such institutional programming, which fosters intercultural maturity, defined as the cognitive, intrapersonal, and interpersonal developmental capacities that enable students to act in ways that are aware and appropriate, should be available to all students. Scholarly work, however, demonstrates that sophomore students receive the least amount of institutional attention and thus have fewer programs directed at fostering their development. As a result, sophomores can find themselves negotiating developmental challenges with little support or guidance. In an effort to explore the efficacy of one approach to providing developmental support for sophomores, this study examined the Second Year Experience Abroad program, one university\u27s attempt to re-engage sophomore students by fostering intercultural maturity. Specifically, the purpose of this mixed-methods explanatory sequential case study was to explore the relationship between study abroad programming and the extent to which it supports sophomore students by fostering intercultural maturity. Data collected using the Global Perspectives Inventory (GPI), a pre- and post-experience survey measuring the various capacities of intercultural maturity, revealed that sophomores experienced significant gains in awareness and understanding of various cultures and their impact on the global society (knowledge scale), and awareness and acceptance of the dimensions of their identity (identity scale). Regression analysis indicated that gender was associated with increases in almost all capacities related to intercultural maturity, where females experienced higher gains than their male counterparts. Interviews suggested that their experiences abroad influenced participants\u27 development of intercultural maturity to varying degrees, with more significant growth in the cognitive and intrapersonal domains. Cognitive gains included an increased understanding of the importance of cultural context when evaluating difference, while intrapersonal gains involved self-reflection in discovering identity. Taken together, this study contributes to the pre-existing knowledgebase surrounding study abroad programming and how promoting intercultural maturity might require a multifaceted approach when supporting sophomore students. Such findings may inform institutional policy and practice, serving as a model for designing innovative programs and solutions that promote intercultural maturity

Comparative Analysis of Student Learning: Technical, Methodological and Result Assessing of PISA-OECD and INVALSI-Italian Systems .

PISA is the most extensive international survey promoted by the OECD in the field of education, which measures the skills of fifteen-year-old students from more than 80 participating countries every three years. INVALSI are written tests carried out every year by all Italian students in some key moments of the school cycle, to evaluate the levels of some fundamental skills in Italian, Mathematics and English. Our comparison is made up to 2018, the last year of the PISA-OECD survey, even if INVALSI was carried out for the last edition in 2022. Our analysis focuses attention on the common part of the reference populations, which are the 15-year-old students of the 2nd class of secondary schools of II degree, where both sources give a similar picture of the students

Trends in Statistical Codicology

The application of statistical techniques to the study of manuscript books, based on the analysis of large data sets acquired through the archaeological observation of manuscripts, remains to this day one of the most original trends in codicological research. This volume aims to present, in English translation, a series of recent and significant papers by means of which the statistical approach continues to demonstrate its vast potential

Self-criticisms toward a socially responsible science in the field of management

Management scholarship should be placed in a unique position to develop relevant scientific knowledge because business and management organizations are deeply involved in most global challenges. However, different critical voices have recently been raised in essays and editorials, and reports have questioned research in the management field, identifying multiple deficiencies that can limit the growth of a relatively young field. Based on an analysis of published criticisms of management research, we would like to shed light on the current state of management research and identify some limitations that should be considered and should guide the growth of this field of knowledge. This work offers guidance on the main problems of the discipline that should be addressed to encourage the transformation of management research to meet both scientific rigor and social relevance. The article ends with a discussion and a call to action for directing research toward the possibility and necessity of reinforcing “responsible research” in the management field.The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study has benefited from financing from the Research Project ECO2014-56580-R of the Spanish Ministry of Economy and Competitively, and the Research Projects P12-SEJ-1810 and P12-SEJ-1618 from the Andalusia Government (Spain) and PR2016-018 (Research Projects University of Cadiz)

Northeastern Illinois University, Academic Catalog 2022-2023

https://neiudc.neiu.edu/catalogs/1063/thumbnail.jp

A design analysis of parliamentary debate

Drawing on descriptions and interpretations of the design process from the design studies literature, this thesis explores and develops a method of interpreting and analysing data about large public projects whose contexts lie outside conventional design studies. The thesis undertakes a design analysis of parliamentary debate and draws data from the documentary records of two infrastructure projects. The first is High Speed Two (HS2), the London to Birmingham rail link proposed by the UK Government in 2010. Parliamentary bills were passing through both houses of Parliament and the relevant select committees, as this research was under way. The second, providing an historical counterpoint, is the first London to Birmingham Railway, planned and built between 1830-38. Through a series of studies of transcripts of debates, committee proceedings and records of meetings, the application of design analysis as a method is refined and reviewed. This analysis yields insight and understanding of the parliamentary processes, including debates and committee proceedings involved in planning and designing major public infrastructure, as well as making a contribution to the field of design studies and its methods. The implications this work has for design research are: • As a contribution to the ongoing debate about the scope and relevance of design studies as a discipline; • As a recognition of the value of the parliamentary record as a dataset, providing detailed records of design processes for complex projects with large budgets that affect large numbers of users; • By drawing on this dataset and recognising the context in which it is created, the importance of such context in the study of design is underlined; • The notion of an assemblage is developed as a mechanism for accommodating, accounting for, and visually representing the actors drawn from the contexts identified

Northeastern Illinois University, Academic Catalog 2021-2022

https://neiudc.neiu.edu/catalogs/1062/thumbnail.jp