Relevant bibliographies by topics / Latent space analysis

Academic literature on the topic 'Latent space analysis'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Latent space analysis"

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Liu, Yang, Eunice Jun, Qisheng Li, and Jeffrey Heer. "Latent Space Cartography: Visual Analysis of Vector Space Embeddings." Computer Graphics Forum 38, no. 3 (June 2019): 67–78. http://dx.doi.org/10.1111/cgf.13672.

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Valtazanos, Aris, D. K. Arvind, and Subramanian Ramamoorthy. "Latent space segmentation for mobile gait analysis." ACM Transactions on Embedded Computing Systems 12, no. 4 (June 2013): 1–22. http://dx.doi.org/10.1145/2485984.2485989.

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Hoff, Peter D., Adrian E. Raftery, and Mark S. Handcock. "Latent Space Approaches to Social Network Analysis." Journal of the American Statistical Association 97, no. 460 (December 2002): 1090–98. http://dx.doi.org/10.1198/016214502388618906.

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Sarkar, Purnamrita, and Andrew W. Moore. "Dynamic social network analysis using latent space models." ACM SIGKDD Explorations Newsletter 7, no. 2 (December 2005): 31–40. http://dx.doi.org/10.1145/1117454.1117459.

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Linardi, Fernando, Cees Diks, Marco van der Leij, and Iuri Lazier. "Dynamic interbank network analysis using latent space models." Journal of Economic Dynamics and Control 112 (March 2020): 103792. http://dx.doi.org/10.1016/j.jedc.2019.103792.

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Ng, Ka Chung, Mike K. P. So, and Kar Yan Tam. "A Latent Space Modeling Approach to Interfirm Relationship Analysis." ACM Transactions on Management Information Systems 12, no. 2 (June 2021): 1–44. http://dx.doi.org/10.1145/3424240.

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Interfirm relationships are crucial to our understanding of firms’ collective and interactive behavior. Many information systems-related phenomena, including the diffusion of innovations, standard alliances, technology collaboration, and outsourcing, involve a multitude of relationships between firms. This study proposes a latent space approach to model temporal change in a dual-view interfirm network. We assume that interfirm relationships depend on an underlying latent space; firms that are close to each other in the latent space are more likely to develop a relationship. We construct the latent space by embedding two dynamic networks of firms in an integrated manner, resulting in a more comprehensive view of an interfirm relationship. We validate our approach by introducing three business measures derived from the latent space model to study alliance formation and stock comovement. We illustrate how the trajectories of firms provide insights into alliance activities. We also show that our proposed measures have strong predictive power on stock comovement. We believe the proposed approach enriches the methodology toolbox of IS researchers in studying interfirm relationships.
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Kuang, Zhanghui, and Kwan-Yee K. Wong. "Relatively-Paired Space Analysis: Learning a Latent Common Space From Relatively-Paired Observations." International Journal of Computer Vision 113, no. 3 (November 12, 2014): 176–92. http://dx.doi.org/10.1007/s11263-014-0783-8.

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CHEN, YIXIN, DONG HUA, and FANG LIU. "GENERALIZED LATENT CLASS ANALYSIS BASED ON MODEL DOMINANCE THEORY." International Journal on Artificial Intelligence Tools 18, no. 05 (October 2009): 739–55. http://dx.doi.org/10.1142/s021821300900038x.

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Latent class analysis is a popular statistical learning approach. A major challenge for learning generalized latent class is the complexity in searching the huge space of models and parameters. The computational cost is higher when the model topology is more flexible. In this paper, we propose the notion of dominance which can lead to strong pruning of the search space and significant reduction of learning complexity, and apply this notion to the Generalized Latent Class (GLC) models, a class of Bayesian networks for clustering categorical data. GLC models can address the local dependence problem in latent class analysis by assuming a very general graph structure. However, The flexible topology of GLC leads to large increase of the learning complexity. We first propose the concept of dominance and related theoretical results which is general for all Bayesian networks. Based on dominance, we propose an efficient learning algorithm for GLC. A core technique to prune dominated models is regularization, which can eliminate dominated models, leading to significant pruning of the search space. Significant improvements on the model.
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Aswani Kumar, Ch, M. Radvansky, and J. Annapurna. "Analysis of a Vector Space Model, Latent Semantic Indexing and Formal Concept Analysis for Information Retrieval." Cybernetics and Information Technologies 12, no. 1 (March 1, 2012): 34–48. http://dx.doi.org/10.2478/cait-2012-0003.

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Abstract Latent Semantic Indexing (LSI), a variant of classical Vector Space Model (VSM), is an Information Retrieval (IR) model that attempts to capture the latent semantic relationship between the data items. Mathematical lattices, under the framework of Formal Concept Analysis (FCA), represent conceptual hierarchies in data and retrieve the information. However, both LSI and FCA use the data represented in the form of matrices. The objective of this paper is to systematically analyze VSM, LSI and FCA for the task of IR using standard and real life datasets.
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Chu, Amanda M. Y., Thomas W. C. Chan, Mike K. P. So, and Wing-Keung Wong. "Dynamic Network Analysis of COVID-19 with a Latent Pandemic Space Model." International Journal of Environmental Research and Public Health 18, no. 6 (March 19, 2021): 3195. http://dx.doi.org/10.3390/ijerph18063195.

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In this paper, we propose a latent pandemic space modeling approach for analyzing coronavirus disease 2019 (COVID-19) pandemic data. We developed a pandemic space concept that locates different regions so that their connections can be quantified according to the distances between them. A main feature of the pandemic space is to allow visualization of the pandemic status over time through the connectedness between regions. We applied the latent pandemic space model to dynamic pandemic networks constructed using data of confirmed cases of COVID-19 in 164 countries. We observed the ways in which pandemic risk evolves by tracing changes in the locations of countries within the pandemic space. Empirical results gained through this pandemic space analysis can be used to quantify the effectiveness of lockdowns, travel restrictions, and other measures in regard to reducing transmission risk across countries.
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Dissertations / Theses on the topic "Latent space analysis"

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Wang, Shuo. "Joint Analysis of Social and Item Response Networks with Latent Space Models." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1571918340162685.

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Fouefack, Jean-Rassaire. "Towards a framework for multi class statistical modelling of shape, intensity, and kinematics in medical images." Doctoral thesis, Faculty of Health Sciences, 2021. http://hdl.handle.net/11427/33746.

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Statistical modelling has become a ubiquitous tool for analysing of morphological variation of bone structures in medical images. For radiological images, the shape, relative pose between the bone structures and the intensity distribution are key features often modelled separately. A wide range of research has reported methods that incorporate these features as priors for machine learning purposes. Statistical shape, appearance (intensity profile in images) and pose models are popular priors to explain variability across a sample population of rigid structures. However, a principled and robust way to combine shape, pose and intensity features has been elusive for four main reasons: 1) heterogeneity of the data (data with linear and non-linear natural variation across features); 2) sub-optimal representation of three-dimensional Euclidean motion; 3) artificial discretization of the models; and 4) lack of an efficient transfer learning process to project observations into the latent space. This work proposes a novel statistical modelling framework for multiple bone structures. The framework provides a latent space embedding shape, pose and intensity in a continuous domain allowing for new approaches to skeletal joint analysis from medical images. First, a robust registration method for multi-volumetric shapes is described. Both sampling and parametric based registration algorithms are proposed, which allow the establishment of dense correspondence across volumetric shapes (such as tetrahedral meshes) while preserving the spatial relationship between them. Next, the framework for developing statistical shape-kinematics models from in-correspondence multi-volumetric shapes embedding image intensity distribution, is presented. The framework incorporates principal geodesic analysis and a non-linear metric for modelling the spatial orientation of the structures. More importantly, as all the features are in a joint statistical space and in a continuous domain; this permits on-demand marginalisation to a region or feature of interest without training separate models. Thereafter, an automated prediction of the structures in images is facilitated by a model-fitting method leveraging the models as priors in a Markov chain Monte Carlo approach. The framework is validated using controlled experimental data and the results demonstrate superior performance in comparison with state-of-the-art methods. Finally, the application of the framework for analysing computed tomography images is presented. The analyses include estimation of shape, kinematic and intensity profiles of bone structures in the shoulder and hip joints. For both these datasets, the framework is demonstrated for segmentation, registration and reconstruction, including the recovery of patient-specific intensity profile. The presented framework realises a new paradigm in modelling multi-object shape structures, allowing for probabilistic modelling of not only shape, but also relative pose and intensity as well as the correlations that exist between them. Future work will aim to optimise the framework for clinical use in medical image analysis.
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Vorlová, Pavla. "Metody analýzy a simulací sociálních sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236401.

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This diploma thesis is focusing on description of processing social network analysis, design and implementation of a model that simulates a particular social network and its analysis. Social networks are modern and very used in this time. They are very good point for exploring. This project deal with static analysis social network, where social network is constructed by graph. We nd out di erent properties of single component and than we establish signi cance of them. Relationships between components are important too for us, because they have a big influence on propagation information in network. Structural properties figure out existence of di fferent communities. We simulate social network with multi-agent systems, they are desirable for represent changes in network. Multi-agent systems have implemented a simulation model that represents a particular social network. His behaviour was analyzed and examinated by chosen methods.
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Gorrell, Genevieve. "Generalized Hebbian Algorithm for Dimensionality Reduction in Natural Language Processing." Doctoral thesis, Linköping : Department of Computer and Information Science, Linköpings universitet, 2006. http://www.bibl.liu.se/liupubl/disp/disp2006/tek1045s.pdf.

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Souihi, Nabil. "Multivariate Synergies in Pharmaceutical Roll Compaction : The quality influence of raw materials and process parameters by design of experiments." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-96441.

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Roll compaction is a continuous process commonly used in the pharmaceutical industry for dry granulation of moisture and heat sensitive powder blends. It is intended to increase bulk density and improve flowability. Roll compaction is a complex process that depends on many factors, such as feed powder properties, processing conditions and system layout. Some of the variability in the process remains unexplained. Accordingly, modeling tools are needed to understand the properties and the interrelations between raw materials, process parameters and the quality of the product. It is important to look at the whole manufacturing chain from raw materials to tablet properties. The main objective of this thesis was to investigate the impact of raw materials, process parameters and system design variations on the quality of intermediate and final roll compaction products, as well as their interrelations. In order to do so, we have conducted a series of systematic experimental studies and utilized chemometric tools, such as design of experiments, latent variable models (i.e. PCA, OPLS and O2PLS) as well as mechanistic models based on the rolling theory of granular solids developed by Johanson (1965). More specifically, we have developed a modeling approach to elucidate the influence of different brittle filler qualities of mannitol and dicalcium phosphate and their physical properties (i.e. flowability, particle size and compactability) on intermediate and final product quality. This approach allows the possibility of introducing new fillers without additional experiments, provided that they are within the previously mapped design space. Additionally, this approach is generic and could be extended beyond fillers. Furthermore, in contrast to many other materials, the results revealed that some qualities of the investigated fillers demonstrated improved compactability following roll compaction. In one study, we identified the design space for a roll compaction process using a risk-based approach. The influence of process parameters (i.e. roll force, roll speed, roll gap and milling screen size) on different ribbon, granule and tablet properties was evaluated. In another study, we demonstrated the significant added value of the combination of near-infrared chemical imaging, texture analysis and multivariate methods in the quality assessment of the intermediate and final roll compaction products. Finally, we have also studied the roll compaction of an intermediate drug load formulation at different scales and using roll compactors with different feed screw mechanisms (i.e. horizontal and vertical). The horizontal feed screw roll compactor was also equipped with an instrumented roll technology allowing the measurement of normal stress on ribbon. Ribbon porosity was primarily found to be a function of normal stress, exhibiting a quadratic relationship. A similar quadratic relationship was also observed between roll force and ribbon porosity of the vertically fed roll compactor. A combination of design of experiments, latent variable and mechanistic models led to a better understanding of the critical process parameters and showed that scale up/transfer between equipment is feasible.
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Gay, Brandon. "A Sense of Space| A GIS Viewshed Analysis of Late Intermediate Period Sites in Moquegua Peru." Thesis, University of California, San Diego, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10816377.

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This study investigates geospatial relationships among Late Intermediate Period (1000–1400 CE) settlement patterns within the Moquegua River drainage of southern Peru which were first identified in the 1990s by the Moquegua Archaeological Survey (MAS). A prevalence of walls and defensive locations and a largely vacant no-mans-land between down valley Chiribaya and up valley Estuquiña settlements likely evidences an increased level of inter-cultural conflict in the region during the LIP that may have continued in the Late Horizon. Using viewshed analyses in ARC-GIS, this study proposes and compares two possible chronologies to explore how Chiribaya, Estuquiña, and Estuquiña -Inca settlements interacted or competed for the surrounding river valley through their direct or indirect control of resources, and their ability to defend against each other. Through the identification of these prime factors, this study aims to understand how the placement of settlements corresponds to the larger web of social interactions.

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Digesto, Salvatore. "Verum a fontibus haurire. A Variationist Analysis of Subjunctive Variability Across Space and Time: from Contemporary Italian back to Latin." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39410.

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This dissertation investigates the use of the subjunctive in completive clauses governed by verbs in Italian, both synchronically and diachronically, and in Vulgar Latin. By making use of the tools provided by the Variationist Sociolinguistic framework (Labov 1972, 1994), the current study sheds light on the underlying conditioning on variability using actual usage and speech-surrogate data. Contemporary actual speech data comes from LIP (De Mauro et al. 1993) and C-ORAL-ROM (Cresti & Moneglia 2005) corpora, providing spontaneous discourse in casual and careful speech as well as sub-sample divisions representative of geographical variation. In order to measure any changes in the underlying conditioning on subjunctive selection, a diachronic benchmark is established: a corpus of speech-like surrogates of 16th to 20th century Italian, COHI (Corpus of Historical Italian), and a corpus of Vulgar Latin (Cena Trimalchionis, from the Satyricon by Petronius). The subjunctives were extracted in adherence to the principle of accountability (Labov 1972), using the method developed by Poplack (1992): every complement clause governed by a matrix verb (governor) that triggered the subjunctive at least once was included. This method enables us to circumvent the issue of the lack of consensus in the literature on exactly which contexts, i.e. verbs and/or meanings, should trigger the subjunctive in discourse. This issue surfaces as well from the meta-linguistic analysis of a compendium of 58 Italian grammars and treaties (CSGI, Collezione Storica di Grammatiche Italiane), constructed for the purpose of this research. A series of linguistic and extra-linguistic factors proposed by formal and prescriptive literature are operationalized and tested against the corpora of both Italian and Vulgar Latin, in order to ascertain the nature of variability in discourse: i.e. whether the use of the subjunctive is semantically motivated, productive in speech or undergoing desemanticization and lexicalization. Despite widespread assumption of a change that occurred after the political and the subsequent linguistic unification of Italy, i.e. that the subjunctive has lost ground in favour of the indicative when it was supposedly used categorically in the past, quantitative and statistical evidence shows that subjunctive selection is largely determined by lexical identity of the governor as well as embedded suppletive forms of essere, and that this pattern has been operative at least since the 16th century. On a more socio-linguistic aspect, this study confirms the linguistic prestige that the subjunctive has acquired in contemporary speech, being selected with a wider range of infrequent and singleton governors by highly educated speakers. Also, the highly lexicalized pattern on variability was found to be largely shared amongst the four main urban centres of Florence, Milan, Rome, and Naples, thus countering the assumption of divergent linguistic behaviour between northern and southern varieties of Italian. The study also shows that despite the significant time span targeted, no evidence of desemanticization has been found. Likewise, the variationist analysis on the Vulgar Latin subjunctive shows that subjunctive choice was already largely determined by, and restricted, to a few governors, identified as ‘volitive’ and ‘emotive’ matrices. These governors remained strong predictors for the selection of the subjunctive in Italian as well, suggesting that this lexical pattern has been transferred and consistently retained in the daughter language.
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Kilroy, Kevin. "Trading Spaces: An Analysis of Gendered Spaces Before, During, and After the French Revolution of 1789 and the Mexican Revolution of 1910." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/scripps_theses/1405.

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This thesis investigates the affects of the French Revolution of 1789 and the Mexican Revolution of 1910 on gender roles in their respective societies. Women that contributed to political discourse challenged separations of public and private spheres, which dictated order in the late and postrevolutionary periods of France and Mexico. Given the deliberate acts by both postrevolutionary governments to send women to the periphery of their respective societies, it is vital to revisit the examples of female influence that shaped the early French and Mexican Revolutions. The understanding that comes from a detailed analysis of the parameters of gendered spaces before, during, and after revolution sheds light on the relationships between order and gender that determined the future of women in their respective postrevolutionary worlds.
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Hollman, Jorge. "Step by step eigenvalue analysis with EMTP discrete time solutions." Thesis, University of British Columbia, 2006. http://hdl.handle.net/2429/67.

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The present work introduces a methodology to obtain a discrete time state space representation of an electrical network using the nodal [G] matrix of the Electromagnetic Transients Program (EMTP) solution. This is the first time the connection between the EMTP nodal analysis solution and a corresponding state-space formulation is presented. Compared to conventional state space solutions, the nodal EMTP solution is computationally much more efficient. Compared to the phasor solutions used in transient stability analysis, the proposed approach captures a much wider range of eigenvalues and system operating states. A fundamental advantage of extracting the system eigenvalues directly from the EMTP solution is the ability of the EMTP to follow the characteristics of nonlinearities. The system's trajectory can be accurately traced and the calculated eigenvalues and eigenvectors correctly represent the system's instantaneous dynamics. In addition, the algorithm can be used as a tool to identify network partitioning subsystems suitable for real-time hybrid power system simulator environments, including the implementation of multi-time scale solutions. The proposed technique can be implemented as an extension to any EMTP-based simulator. Within our UBC research group, it is aimed at extending the capabilities of our real-time PC-cluster Object Virtual Network Integrator (OVNI) simulator.
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Christiansen, Martha Sidury Juarez Lopez. "Facebook as Transnational Space: Language and Identity among 1.5 and Second Generation Mexicans in Chicago." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366196872.

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Books on the topic "Latent space analysis"

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Kuffner, Emily. Fictions of Containment in the Spanish Female Picaresque. NL Amsterdam: Amsterdam University Press, 2019. http://dx.doi.org/10.5117/9789462986800.

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This study examines the interdependence of gender, sexuality and space in the early modern period, which saw the inception of architecture as a discipline and gave rise to the first custodial institutions for women, including convents for reformed prostitutes. Meanwhile, conduct manuals established prescriptive mandates for female use of space, concentrating especially on the liminal spaces of the home. This work traces literary prostitution in the Spanish Mediterranean through the sixteenth and seventeenth centuries, from the rise of courtesan culture in several key areas through the shift from tolerance of prostitution toward repression. Kuffner’s analysis pairs canonical and noncanonical works of fiction with didactic writing, architectural treatises, and legal mandates, tying the literary practice of prostitution to increasing control over female sexuality during the Counter Reformation. By tracing erotic negotiations in the female picaresque novel from its origins through later manifestations, she demonstrates that even as societal attitudes towards prostitution shifted dramatically, a countervailing tendency to view prostitution as an essential part of the social fabric undergirds many representations of literary prostitutes. Kuffner’s analysis reveals that the semblance of domestic enclosure figures as a primary erotic strategy in female picaresque fiction, allowing readers to assess the variety of strategies used by authors to comment on the relationship between unruly female sexuality and social order.
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Afanas'ev, Mihail, Mihail Bendikov, and Stanislav Korunov. Fundamentals of the economy of space activities. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1018193.

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The textbook describes in detail the classification of space goods and services, the segments and sectors of the global space market, the development prospects and the positioning of Russian enterprises in them. The methodological feature of the course consists in new approaches to the segmentation of the market and areas of space activities, identifying their deep relationships with the space industry. The practical side of the course is aimed at studying the methodology and practice of space project management, space pricing, organization of placement and execution of space government orders, and market analytics. The tutorial contains test questions for each chapter, test tasks, and a wide selection of topics for course design. The subject of the course papers is related to the specific activities of the enterprises of the space industry. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for third-year undergraduate and graduate students specializing in the field of training 38.03.01 and 38.04.01 "Economics" in the specialties "Economics of Space activities", "Economics of high-tech industries".
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Salvarani, Renata. The Body, the Liturgy and the City. Venice: Edizioni Ca' Foscari, 2019. http://dx.doi.org/10.30687/978-88-6969-364-9.

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The body and the space are the fulcrums of dynamic relationships creating cultures, identities, societies. In the game of interactions between individuals, groups and space, religions play a crucial role. During a ritual performance takes place a true genesis of a sacred space. This work analyzes the theme from a historical point of view, with a focus on Christian medieval Latin liturgies. Indeed, for Christian theology, related with the dogma of the Incarnation, the chair is itself the place of the manifestation of the sacred. Liturgy makes present and gives with life a new body. Together it generates a space, that interacts with the entire urban society, inside the eschatological dialectic between earthly and heavenly city.
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Hidalgo, Javiera Jaque, and Miguel A. Valerio. Indigenous and Black Confraternities in Colonial Latin America. Nieuwe Prinsengracht 89 1018 VR Amsterdam Nederland: Amsterdam University Press, 2022. http://dx.doi.org/10.5117/9789463721547.

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Employing a transregional and interdisciplinary approach, this volume explores indigenous and black confraternities –or lay Catholic brotherhoods– founded in colonial Spanish America and Brazil between the sixteenth and eighteenth century. It presents a varied group of cases of religious confraternities founded by subaltern subjects, both in rural and urban spaces of colonial Latin America, to understand the dynamics and relations between the peripheral and central areas of colonial society, underlying the ways in which colonialized subjects navigated the colonial domain with forms of social organization and cultural and religious practices. The book analyzes indigenous and black confraternal cultural practices as forms of negotiation and resistance shaped by local devotional identities that also transgressed imperial religious and racial hierarchies. The analysis of these practices explores the intersections between ethnic identity and ritual devotion, as well as how the establishment of black and indigenous religious confraternities carried the potential to subvert colonial discourse.
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Packevich, Alla. Model of the settlement system of the future. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/997136.

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The textbook is devoted to the issues of understanding the laws in the evolution of human consciousness and the formation of a pyramid of human values. For this purpose, the study analyzes the periodization of spatial structures and attempts to reproduce the logic of the process of consciousness development. The place of man in the system of cosmic evolution, the understanding of the process of transition from passive and unconscious human participation in evolution to active and conscious are comprehended. Brief information about the principles of the formation of the structure of space and the organization of systems of populated places is presented. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for students of all forms of education of educational institutions of secondary vocational and higher education in the field of training "Architecture" , as well as for all those interested in the problems of territorial development.
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Damen, Mario, and Kim Overlaet, eds. Constructing and Representing Territory in Late Medieval and Early Modern Europe. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463726139.

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In recent political and constitutional history, scholars seldom specify how and why they use the concept of territory. In research on state formation processes and nation building, for instance, the term mostly designates an enclosed geographical area ruled by a central government. Inspired by ideas from political geographers, this book explores the layered and constantly changing meanings of territory in late medieval and early modern Europe before cartography and state formation turned boundaries and territories into more fixed (but still changeable) geographical entities. Its central thesis is that analysing the notion of territory in a premodern setting involves analysing territorial practices: practices that relate people and power to space(s). The book not only examines the construction and spatial structure of premodern territories but also explores their perception and representation through the use of a broad range of sources: from administrative texts to maps, from stained glass windows to chronicles.
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Heyam, Kit. The Reputation of Edward II, 1305-1697. NL Amsterdam: Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789463729338.

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During his lifetime and the four centuries following his death, King Edward II (1307-1327) acquired a reputation for having engaged in sexual and romantic relationships with his male favourites, and having been murdered by penetration with a red-hot spit. This book provides the first account of how this reputation developed, providing new insights into the processes and priorities that shaped narratives of sexual transgression in medieval and early modern England. In doing so, it analyses the changing vocabulary of sexual transgression in English, Latin and French; the conditions that created space for sympathetic depictions of same-sex love; and the use of medieval history in early modern political polemic. It also focuses, in particular, on the cultural impact of Christopher Marlowe’s Edward II (c.1591-92). Through such close readings of poetry and drama, alongside chronicle accounts and political pamphlets, it demonstrates that Edward’s medieval and early modern afterlife was significantly shaped by the influence of literary texts and techniques. A ‘literary transformation’ of historiographical methodology is, it argues, an apposite response to the factors that shaped medieval and early modern narratives of the past.
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Desmarais, Bruce A., and Skyler J. Cranmer. Statistical Inference in Political Networks Research. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.8.

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Researchers interested in statistically modeling network data have a well-established and quickly growing set of approaches from which to choose. Several of these methods have been regularly applied in research on political networks, while others have yet to permeate the field. This chapter reviews the most prominent methods of inferential network analysis for both cross-sectionally and longitudinally observed networks, including (temporal) exponential random graph models, latent space models, the quadratic assignment procedure, and stochastic actor oriented models. For each method, the chapter summarizes its analytic form, identifies prominent published applications in political science, and discusses computational considerations. It concludes with a set of guidelines for selecting a method for a given application.
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Trobia, Alberto, and Fabio M. Lo Verde. Italian Amateur Pop-Rock Musicians on Facebook. Edited by Roger Mantie and Gareth Dylan Smith. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190244705.013.8.

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This chapter investigates how and why amateur musicians use social networking sites, employing a mixed-methods approach. Attention is focused on four big Italian Facebook communities of pop-rock musicians: drums, bass, guitar, and keyboard players (overall, 2,101 active users), analyzing the relational and textual data extracted from the web. The chapter analyzes the network structures emerging from the interactions among the users. It also identifies and maps the main areas of discussion (sound shaping, studio recording, marketplace, musical references, computer production, and relations) and the latent semantic dimension characterizing Facebook users’ activities, through social network analysis and lexical correspondence analysis. Meanings, values, aesthetics, and representations of amateur music making, emerging from the data, are framed within two orthogonal dimensions: theory versus praxis, and competence versus music production. The Italian singularity is then explained with respect to this space. Some theoretical conclusions are finally drawn.
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Coqueiro, Wilma dos Santos. De mulheres e casas: O espaço romanesco e patriarcal em Rachel de Queiroz. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-328-2.

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This books, oriented towards a social critic perspective, analyses two novels by Rachel de Queiroz – Dôra, Doralina e Memorial de Maria Moura – in which the relationship between the female protagonists within the space is loaded with a symbolic value – land and house – which reveals and interprets women paradoxical evolution in patriarchal society rooted vigorously in the rural Brazil, mainly in the northeast of part of the country. In a first moment, it aimed to draw considerations in relation to the function of space in the novel both in the point of view of relevant analysis of Literary Theory as well as analysis yielded from Sociology and Cultural Anthropology. In a second moment, it aimed to characterize the rural patriarchal society in Brazil during the first half of XIX and XX century, showing land and house’s symbolical importance in this society as well as women’s relationship with those spaces. In a third moment, the novel Memorial de Maria Moura, in which the XIX century patriarchal society is reported, the relationship between the female protagonist and the spaces encompassing the land and house. And, last of all, it aimed to compare the aforementioned novel with Dôra, Doralina, in which the action unfolds in the same space, cearense and rural, one century later, in the first half of XX century, in order to verify a possible women evolution and their relationship in relation to those spaces. Rachel de Queiroz, in her novels here in analyzed, discusses the problematic of female protagonists confronting a patriarchal world, showing the female evolution, in this type of society, was slow, gradual and contradictory, seeming at many times even impossible to occur.
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Book chapters on the topic "Latent space analysis"

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Anandarajan, Murugan, Chelsey Hill, and Thomas Nolan. "Semantic Space Representation and Latent Semantic Analysis." In Practical Text Analytics, 77–91. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95663-3_6.

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Gaultier, Clément, Saurabh Kataria, and Antoine Deleforge. "VAST: The Virtual Acoustic Space Traveler Dataset." In Latent Variable Analysis and Signal Separation, 68–79. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53547-0_7.

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Fontanini, Tomaso, Claudio Praticò, and Andrea Prati. "Towards Latent Space Optimization of GANs Using Meta-Learning." In Image Analysis and Processing – ICIAP 2022, 646–57. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06427-2_54.

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Qin, Xiangju, Derek Greene, and Pádraig Cunningham. "A Latent Space Analysis of Editor Lifecycles in Wikipedia." In Lecture Notes in Computer Science, 46–69. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29009-6_3.

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Waitkus, Nora, and Olaf Groh-Samberg. "The Space of Economic and Cultural Capital: A Latent Class Analysis for Germany." In Empirical Investigations of Social Space, 81–97. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15387-8_6.

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Meng, Shengyu. "Exploring in the Latent Space of Design: A Method of Plausible Building Facades Images Generation, Properties Control and Model Explanation Base on StyleGAN2." In Proceedings of the 2021 DigitalFUTURES, 55–68. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5983-6_6.

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AbstractGAN has been widely applied in the research of architectural image generation. However, the quality and controllability of generated images, and the interpretability of model are still potential to be improved. In this paper, by implementing StyleGAN2 model, plausible building façade images could be generated without conditional input. In addition, by applying GANSpace to analysis the latent space, high-level properties could be controlled for both generated images and novel images outside of training set. At last, the generating and controlling process could be visualized with image embedding and PCA projection method, which could achieve unsupervised classification of generated images, and help to understand the correlation between the images and their latent vectors.
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Dematteis, Giuseppe. "Una dottrina rivoluzionaria della sistemazione dello spazio. Massimo Quaini geografo-pianificatore." In Il pensiero critico fra geografia e scienza del territorio, 111–23. Florence: Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-322-2.09.

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The idea of a planning-oriented geography was part of the ‘revolutionary’ renewal program of the discipline proposed by Massimo Quaini since the 70’s. First through an analysis of how human geography was built in the seventeenth and nineteenth centuries, then in the theoretical and methodological writings in which he critically examines his experiences as a geographer engaged in urban, regional, environmental and landscape planning works. In such writings, he highlights the latent and unsolved contrast between the aim of meeting the needs of the inhabitants and the tendency to organize the local space according to economic competition.
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Frery, Jordan, Amaury Habrard, Marc Sebban, Olivier Caelen, and Liyun He-Guelton. "Online Non-linear Gradient Boosting in Multi-latent Spaces." In Advances in Intelligent Data Analysis XVII, 99–110. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01768-2_9.

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Karagiannaki, Ioulia, Yannis Pantazis, Ekaterini Chatzaki, and Ioannis Tsamardinos. "Pathway Activity Score Learning for Dimensionality Reduction of Gene Expression Data." In Discovery Science, 246–61. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61527-7_17.

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Abstract Molecular gene-expression datasets consist of samples with tens of thousands of measured quantities (e.g., high dimensional data). However, there exist lower-dimensional representations that retain the useful information. We present a novel algorithm for such dimensionality reduction called Pathway Activity Score Learning (PASL). The major novelty of PASL is that the constructed features directly correspond to known molecular pathways and can be interpreted as pathway activity scores. Hence, unlike PCA and similar methods, PASL’s latent space has a relatively straight-forward biological interpretation. As a use-case, PASL is applied on two collections of breast cancer and leukemia gene expression datasets. We show that PASL does retain the predictive information for disease classification on new, unseen datasets, as well as outperforming PLIER, a recently proposed competitive method. We also show that differential activation pathway analysis provides complementary information to standard gene set enrichment analysis. The code is available at https://github.com/mensxmachina/PASL.
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Gutch, Harold W., and Fabian J. Theis. "To Infinity and Beyond: On ICA over Hilbert Spaces." In Latent Variable Analysis and Signal Separation, 180–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28551-6_23.

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Conference papers on the topic "Latent space analysis"

1

Cai, Dongfeng, Liwei Chang, and Duo Ji. "Latent semantic analysis based on space integration." In 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems (CCIS). IEEE, 2012. http://dx.doi.org/10.1109/ccis.2012.6664621.

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Afshar, Reza Refaei, and Masoud Asadpour. "Latent space model for analysis of conventions." In 2015 International Symposium on Artificial Intelligence and Signal Processing (AISP). IEEE, 2015. http://dx.doi.org/10.1109/aisp.2015.7123498.

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Sharma, A., A. Kumar, H. Daume, and D. W. Jacobs. "Generalized Multiview Analysis: A discriminative latent space." In 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2012. http://dx.doi.org/10.1109/cvpr.2012.6247923.

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Ulhaq, Mateen, and Ivan V. Bajic. "Latent Space Motion Analysis for Collaborative Intelligence." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9413603.

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Wallet, Bradley, and Thang Ha. "Deep Learning Method for Latent Space Analysis." In SPE Middle East Oil and Gas Show and Conference. Society of Petroleum Engineers, 2019. http://dx.doi.org/10.2118/194889-ms.

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Gotoh, Yoshihiko, and Steve Renals. "Document space models using latent semantic analysis." In 5th European Conference on Speech Communication and Technology (Eurospeech 1997). ISCA: ISCA, 1997. http://dx.doi.org/10.21437/eurospeech.1997-419.

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Luessi, Martin, Matti S. Hamalainen, and Victor Solo. "Vector ℓ0 latent-space principal component analysis." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6854399.

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Pavlin, Jan, and Blaž Meden. "Latent Space Analysis of GANs for Controlled Face Deidentification." In Strokovna konferenca ROSUS 2020: Računalniška obdelava slik in njena uporaba v Sloveniji 2020. University of Maribor Press, 2020. http://dx.doi.org/10.18690/978-961-286-337-1.9.

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Dias Cardoso, Pedro, and Anindya Roy. "Sentiment Lexicon Creation using Continuous Latent Space and Neural Networks." In Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Stroudsburg, PA, USA: Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/w16-0409.

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Huang, Qijing, Charles Hong, John Wawrzynek, Mahesh Subedar, and Yakun Sophia Shao. "Learning A Continuous and Reconstructible Latent Space for Hardware Accelerator Design." In 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). IEEE, 2022. http://dx.doi.org/10.1109/ispass55109.2022.00041.

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Reports on the topic "Latent space analysis"

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Hoff, Peter D., Adrian E. Raftery, and Mark S. Handcock. Latent Space Approaches to Social Network Analysis. Fort Belvoir, VA: Defense Technical Information Center, November 2001. http://dx.doi.org/10.21236/ada458734.

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Lubold, Shane, Arun Chandrasekhar, and Tyler McCormick. Identifying the Latent Space Geometry of Network Models through Analysis of Curvature. Cambridge, MA: National Bureau of Economic Research, December 2020. http://dx.doi.org/10.3386/w28273.

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Dudley, J. P., and S. V. Samsonov. SAR interferometry with the RADARSAT Constellation Mission. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329396.

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The RADARSAT Constellation Mission (RCM) is Canada's latest system of C-band Synthetic Aperture Radar (SAR) Earth observation satellites. The system of three satellites, spaced equally in a common orbit, allows for a rapid four-day repeat interval. The RCM has been designed with a selection of stripmap, spotlight, and ScanSAR beam modes which offer varied combinations of spatial resolution and coverage. Using Differential Interferometric Synthetic Aperture Radar (DInSAR) techniques, the growing archive of SAR data gathered by RCM can be used for change detection and ground deformation monitoring for diverse applications in Canada and around the world. In partnership with the Canadian Space Agency (CSA), the Canada Centre for Mapping and Earth Observation (CCMEO) has developed an automated system for generating standard and advanced deformation products and change detection from SAR data acquired by RCM and RADARSAT-2 satellites using DInSAR processing methodology. Using this system, this paper investigates four key interferometric properties of the RCM system which were not available on the RADARSAT-1 or RADARSAT-2 missions: The impact of the high temporal resolution of the four-day repeat cycle of the RCM on temporal decorrelation trends is tested and fitted against simple temporal decay models. The effect of the normalization and the precision of the radiometric calibration on interferometric spatial coherence is investigated. The performance of the RCM ScanSAR mode for wide area interferometric analysis is tested. The performance of the novel RCM Compact-polarization (CP) mode for interferometric analysis is also investigated.
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Carvalho, Joana, and Gerardo Reyes-Tagle. Risk Matrix and PPP Contract Standardization, Best Practice, and Gap Analysis in Brazil. Inter-American Development Bank, April 2022. http://dx.doi.org/10.18235/0004213.

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Public-private partnerships (PPPs) have been used to address the need for the implementation of huge investment programs and to bridge the infrastructure gap that exists in Latin American and Caribbean (LAC) countries. As is explained throughout this paper, under certain circumstances, PPPs represent an important tool to help governments implement their investment programs, thereby benefiting not only from private investment (which often includes foreign investment) but also from the various advantages that are typically associated with the PPP model. However, the need to secure financing for investment needs, especially in a situation of scarce public resources and fiscal constraints, should not be the only reason for choosing the PPP model. The objective of this paper is to highlight that the PPP model can be a valuable tool for undertaking public projects in an efficient and innovative manner and that it can provide more efficient and innovative public services in certain circumstances as well. In addition, when correctly used, it can generate public savings and create the fiscal space that LAC countries need to carry out their investments.
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Perdigão, Rui A. P. Earth System Dynamic Intelligence with Quantum Technologies: Seeing the “Invisible”, Predicting the “Unpredictable” in a Critically Changing World. Meteoceanics, October 2021. http://dx.doi.org/10.46337/211028.

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We hereby embark on a frontier journey articulating two of our flagship programs – “Earth System Dynamic Intelligence” and “Quantum Information Technologies in the Earth Sciences” – to take the pulse of our planet and discern its manifold complexity in a critically changing world. Going beyond the traditional stochastic-dynamic, information-theoretic, artificial intelligence, mechanistic and hybrid approaches to information and complexity, the underlying fundamental science ignites disruptive developments empowering complex problem solving across frontier natural, social and technical geosciences. Taking aim at complex multiscale planetary problems, the roles of our flagships are put into evidence in different contexts, ranging from I) Interdisciplinary analytics, model design and dynamic prediction of hydro-climatic and broader geophysical criticalities and extremes across multiple spatiotemporal scales; to II) Sensing the pulse of our planet and detecting early warning signs of geophysical phenomena from Space with our Meteoceanics QITES Constellation, at the interface between our latest developments in non-linear dynamics and emerging quantum technologies.
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Yilmaz, Ihsan, Raja M. Ali Saleem, Mahmoud Pargoo, Syaza Shukri, Idznursham Ismail, and Kainat Shakil. Religious Populism, Cyberspace and Digital Authoritarianism in Asia: India, Indonesia, Malaysia, Pakistan, and Turkey. European Center for Populism Studies, January 2022. http://dx.doi.org/10.55271/5jchdy.

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Turkey, Pakistan, India, Malaysia, and Indonesia span one of the longest continuously inhabited regions of the world. Centuries of cultural infusion have ensured these societies are highly heterogeneous. As plural polities, they are ripe for the kind of freedoms that liberal democracy can guarantee. However, despite having multi-party electoral systems, these countries have recently moved toward populist authoritarianism. Populism —once considered a distinctively Latin American problem that only seldom reared its head in other parts of the world— has now found a home in almost every corner of the planet. Moreover, it has latched on to religion, which, as history reminds us, has an unparalleled power to mobilize crowds. This report explores the unique nexus between faith and populism in our era and offers an insight into how cyberspace and offline politics have become highly intertwined to create a hyper-reality in which socio-political events are taking place. The report focuses, in particular, on the role of religious populism in digital space as a catalyst for undemocratic politics in the five Asian countries we have selected as our case studies. The focus on the West Asian and South Asian cases is an opportunity to examine authoritarian religious populists in power, whereas the East Asian countries showcase powerful authoritarian religious populist forces outside parliament. This report compares internet governance in each of these countries under three categories: obstacles to access, limits on content, and violations of user rights. These are the digital toolkits that authorities use to govern digital space. Our case selection and research focus have allowed us to undertake a comparative analysis of different types of online restrictions in these countries that constrain space foropposition and democratic voices while simultaneously making room for authoritarian religious populist narratives to arise and flourish. The report finds that surveillance, censorship, disinformation campaigns, internet shutdowns, and cyber-attacks—along with targeted arrests and violence spreading from digital space—are common features of digital authoritarianism. In each case, it is also found that religious populist forces co-opt political actors in their control of cyberspace. The situational analysis from five countries indicates that religion’s role in digital authoritarianism is quite evident, adding to the layer of nationalism. Most of the leaders in power use religious justifications for curbs on the internet. Religious leaders support these laws as a means to restrict “moral ills” such as blasphemy, pornography, and the like. This evident “religious populism” seems to be a major driver of policy changes that are limiting civil liberties in the name of “the people.” In the end, the reasons for restricting digital space are not purely religious but draw on religious themes with populist language in a mixed and hybrid fashion. Some common themes found in all the case studies shed light on the role of digital space in shaping politics and society offline and vice versa. The key findings of our survey are as follows: The future of (especially) fragile democracies is highly intertwined with digital space. There is an undeniable nexus between faith and populism which offers an insight into how cyberspace and politics offline have become highly intertwined. Religion and politics have merged in these five countries to shape cyber governance. The cyber governance policies of populist rulers mirror their undemocratic, repressive, populist, and authoritarian policies offline. As a result, populist authoritarianism in the non-digital world has increasingly come to colonize cyberspace, and events online are more and more playing a role in shaping politics offline. “Morality” is a common theme used to justify the need for increasingly draconian digital laws and the active monopolization of cyberspace by government actors. Islamist and Hindutva trolls feel an unprecedented sense of cyber empowerment, hurling abuse without physically seeing the consequences or experiencing the emotional and psychological damage inflicted on their victims.
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Yilmaz, Ihsan, Raja M. Ali Saleem, Mahmoud Pargoo, Syaza Shukri, Idznursham Ismail, and Kainat Shakil. Religious Populism, Cyberspace and Digital Authoritarianism in Asia: India, Indonesia, Malaysia, Pakistan, and Turkey. European Center for Populism Studies (ECPS), January 2022. http://dx.doi.org/10.55271/rp0001.

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Turkey, Pakistan, India, Malaysia, and Indonesia span one of the longest continuously inhabited regions of the world. Centuries of cultural infusion have ensured these societies are highly heterogeneous. As plural polities, they are ripe for the kind of freedoms that liberal democracy can guarantee. However, despite having multi-party electoral systems, these countries have recently moved toward populist authoritarianism. Populism —once considered a distinctively Latin American problem that only seldom reared its head in other parts of the world— has now found a home in almost every corner of the planet. Moreover, it has latched on to religion, which, as history reminds us, has an unparalleled power to mobilize crowds. This report explores the unique nexus between faith and populism in our era and offers an insight into how cyberspace and offline politics have become highly intertwined to create a hyper-reality in which socio-political events are taking place. The report focuses, in particular, on the role of religious populism in digital space as a catalyst for undemocratic politics in the five Asian countries we have selected as our case studies. The focus on the West Asian and South Asian cases is an opportunity to examine authoritarian religious populists in power, whereas the East Asian countries showcase powerful authoritarian religious populist forces outside parliament. This report compares internet governance in each of these countries under three categories: obstacles to access, limits on content, and violations of user rights. These are the digital toolkits that authorities use to govern digital space. Our case selection and research focus have allowed us to undertake a comparative analysis of different types of online restrictions in these countries that constrain space foropposition and democratic voices while simultaneously making room for authoritarian religious populist narratives to arise and flourish. The report finds that surveillance, censorship, disinformation campaigns, internet shutdowns, and cyber-attacks—along with targeted arrests and violence spreading from digital space—are common features of digital authoritarianism. In each case, it is also found that religious populist forces co-opt political actors in their control of cyberspace. The situational analysis from five countries indicates that religion’s role in digital authoritarianism is quite evident, adding to the layer of nationalism. Most of the leaders in power use religious justifications for curbs on the internet. Religious leaders support these laws as a means to restrict “moral ills” such as blasphemy, pornography, and the like. This evident “religious populism” seems to be a major driver of policy changes that are limiting civil liberties in the name of “the people.” In the end, the reasons for restricting digital space are not purely religious but draw on religious themes with populist language in a mixed and hybrid fashion. Some common themes found in all the case studies shed light on the role of digital space in shaping politics and society offline and vice versa. The key findings of our survey are as follows: The future of (especially) fragile democracies is highly intertwined with digital space. There is an undeniable nexus between faith and populism which offers an insight into how cyberspace and politics offline have become highly intertwined. Religion and politics have merged in these five countries to shape cyber governance. The cyber governance policies of populist rulers mirror their undemocratic, repressive, populist, and authoritarian policies offline. As a result, populist authoritarianism in the non-digital world has increasingly come to colonize cyberspace, and events online are more and more playing a role in shaping politics offline. “Morality” is a common theme used to justify the need for increasingly draconian digital laws and the active monopolization of cyberspace by government actors. Islamist and Hindutva trolls feel an unprecedented sense of cyber empowerment, hurling abuse without physically seeing the consequences or experiencing the emotional and psychological damage inflicted on their victims.
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Rojas Scheffer, Raquel. http://mecila.net/wp-content/uploads/2020/11/WP-27-Rojas-Scheffer_Online.pdf. Maria Sibylla Merian International Centre for Advanced Studies in the Humanities and Social Sciences Conviviality-Inequality in Latin America, 2020. http://dx.doi.org/10.46877/rojasscheffer.2020.27.

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Households that hire domestic workers are a space of compulsive encounters where people of different origins and social class meet, experiencing physical proximity that makes the social distance that prevails between them even more noticeable. Drawing on current research and scholarship on paid domestic work in Latin America, this paper explores the different ways of analysing the encounters of women from highly unequal social positions in the narrowness of the private household, arguing that the combination of physical proximity and affective ties fosters the (re)production of social inequalities and asymmetries of power. But while it is within the convivial relations of these households that inequality becomes evident, it is also there where it can be negotiated, fought, or mitigated. Households that hire domestic workers are thus a privileged site for observing negotiations and disputes concerning social inequalities, and hence, a critical context to study the reciprocal constitution of conviviality and inequality.
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Levantovych, Oksana. COVID 19 MEDIA COVERAGE: AN ANALYSIS OF HEORHII POCHEPTSOV’S VIEW. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11061.

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The article analyses the peculiarities of the coverage of the covid pandemic in the Ukrainian media, the emphasis placed by the media in news, and how the online mode of modern life and social distancing affects the growth of media influence. Special attention is paid to the view of the famous publicist Heorhii Pocheptsov, who does not exclude the possibility that the coronavirus was invented intentionally to control millions of people around the world. Permanently, the world faces numerous challenges of different scales: economic, military, socio-political, environmental, epidemiological ones. In 2020, the largest and the most unexpected event, undoubtedly, was the deadly coronavirus pandemic, which spread from the small Chinese province of Wuhan to the whole world and already took more than one million people’s lives in less than a year. Thus, the media, that in the post-information society actually have an unprecedented impact on people, form a person’s perception of such challenges. As a result, our understanding of the pandemic is directly related to the information we consume from the media. In fact, from the very start of quarantine, the media space began to be captured by analytical materials in which experts from various fields tried to predict what the world would be like after the end of coronavirus. These experts were of two types: some claimed that irreversible changes would deepen the permanent economic and socio-political crisis, and by claiming that they intensified panic, while others argued that any crisis is a chance to restart and grow. The experts put different emphases covering the covid pandemic in the media, but it is important to pay attention to the analysis of the famous publicist, propaganda researcher – Heorhii Pocheptsov, who sees the coronavirus as a tool to influence millions of people. The pandemic will end sooner or later, but no matter whether the virus was artificially invented or not, the processes that have already been launched around the world cannot stop as if nothing had happened. But Heorhii Pocheptsov’s opinion about the possible artificial nature of the virus should make us more vigilant while consuming information from TVs or from the online media, as it is possible that this information might be a part of a great game that we were not warned about.
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Denaro, Desirée. How Do Disruptive Innovators Prepare Today's Students to Be Tomorrow's Workforce?: Scholas' Approach to Engage Youth. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0002899.

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The lack of motivation and sense of community within schools have proven to be the two most relevant factors behind the decision to drop out. Despite the notable progress made in school access in countries in Latin America and the Caribbean, dropping out of school has still been a problem. This paper explores Scholas Occurrentes pedagogical approach to address these dropouts. Scholas focuses on the voice of students. It seeks to act positively on their motivation by listening to them, creating spaces for discussion, and strengthening soft skills and civic engagement. Scholas aims to enhance the sense of community within schools by gathering students from different social and economic backgrounds and involving teachers, families, and societal actors. This will break down the walls between schools and the whole community. This paper presents Scholas work with three examples from Paraguay, Haiti, and Argentina. It analyzes the positive impacts that Scholas' intervention had on the participants. Then, it focuses on future challenges regarding the scalability and involvement of the institutions in the formulation of new public policies. The approach highlights the participatory nature of education and the importance of all actors engagement.
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