| computational social science masters: Computational Social Science Wei Luo, Maria Ciurea, Santosh Kumar, 2021-02-18 Selected papers from the International Conference on New Computational Social Science, focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks, social media and big data, social computing, as a data-intensive science, is an emerging field that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary field of research and application. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. This proceedings presents and discusses key concepts and analyzes the state-of-the-art of the field. The conference not only gave insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends: One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; The other is on the use of computational techniques. Finally some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect. |
| computational social science masters: Introduction to Computational Social Science Claudio Cioffi-Revilla, 2017-06-29 This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas. Topics and features: contains more than a thousand questions and exercises, together with a list of acronyms and a glossary; examines the similarities and differences between computers and social systems; presents a focus on automated information extraction; discusses the measurement, scientific laws, and generative theories of social complexity in CSS; reviews the methodology of social simulations, covering both variable- and object-oriented models. |
| computational social science masters: Complex Adaptive Systems John H. Miller, Scott E. Page, 2009-11-28 This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended. |
| computational social science masters: Quantitative Social Science Kosuke Imai, Lori D. Bougher, 2021-03-16 Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a translation of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place-- |
| computational social science masters: Computational Social Science Dan Dobrota, Roshan Chitrakar, Maria Ciurea, Liliana Mâţă, Wei Luo, 2022-07-01 The proceedings publish selected papers from the 2nd International Conference on New Computational Social Science, focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks, social media and big data, social computing, as a data-intensive science, is an emerging field that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary field of research and application. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. This proceedings presents and discusses key concepts and analyzes the state-of-the-art of the field. The conference not only gave insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends: One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; the other is on the use of computational techniques. Finally, some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect. |
| computational social science masters: Computational Social Science R. Michael Alvarez, 2016-03-10 This book provides an overview of cutting-edge approaches to computational social science. |
| computational social science masters: Doing Computational Social Science John McLevey, 2021-12-15 Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work. |
| computational social science masters: Handbook of Computational Social Science, Volume 1 Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu, Lars E Lyberg, 2021-11-10 The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientifi c and engineering sectors. |
| computational social science masters: Computational Social Science Xiaogang Wu, Yongjun Zhang, Tianji Cai, 2024-06-07 This edited collection provides an overview of the recent developments in computational social science related to China studies and presents interdisciplinary empirical work from diverse scholars on culture, public opinion, and education using advanced computational methods and big data. The topics covered in this book include the surge of anti-China sentiment amid the COVID-19 pandemic, the nuances of E-governance, public opinion, authoritarian reactions, artistic innovation, and educational inequality. The chapters in this book provide important insights into how computational social science can be applied generally, but also underscore the importance of combining conventional sociological research with contemporary computational methods in the context of China studies. This cutting-edge volume will be valuable resource for researchers, scholars and practitioners of Sociology, China Studies and for those interested in computational approaches to the social sciences. The chapters in this book were originally published in Chinese Sociological Review. |
| computational social science masters: Computational Social Science R. Michael Alvarez, 2016-03-07 Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy. |
| computational social science masters: Computational Social Psychology Robin R. Vallacher, Stephen J. Read, Andrzej Nowak, 2017-05-25 Computational Social Psychology showcases a new approach to social psychology that enables theorists and researchers to specify social psychological processes in terms of formal rules that can be implemented and tested using the power of high speed computing technology and sophisticated software. This approach allows for previously infeasible investigations of the multi-dimensional nature of human experience as it unfolds in accordance with different temporal patterns on different timescales. In effect, the computational approach represents a rediscovery of the themes and ambitions that launched the field over a century ago. The book brings together social psychologists with varying topical interests who are taking the lead in this redirection of the field. Many present formal models that are implemented in computer simulations to test basic assumptions and investigate the emergence of higher-order properties; others develop models to fit the real-time evolution of people’s inner states, overt behavior, and social interactions. Collectively, the contributions illustrate how the methods and tools of the computational approach can investigate, and transform, the diverse landscape of social psychology. |
| computational social science masters: Political Communication in China Wenfang Tang, Shanto Iyengar, 2013-09-13 It is widely recognised that the Chinese Communist Party (CCP) uses the media to set the agenda for political discourse, propagate official policies, monitor public opinion, and rally regime support. State agencies in China control the full spectrum of media programming, either through ownership or the power to regulate. Political Communication in China examines the two factors which have contributed to the rapid development of media infrastructure in China: technology and commercialization. Economic development led to technological advancement, which in turn brought about the rapid modernization of all forms of communication, from ‘old’ media such as television to the Internet, cell phones, and satellite communications. This volume examines how these recent developments have affected the relationship between the CCP and the mass media as well as the implications of this evolving relationship for understanding Chinese citizens’ media use, political attitudes, and behaviour. The chapters in this book represent a diverse range of research methods, from surveys, content analysis, and field interviews to the manipulation of aggregate statistical data. The result is a lively debate which creates many opportunities for future research into the fundamental question of convergence between political and media regimes. This book was originally published as a special issue of the journal Political Communication. |
| computational social science masters: Quantitative Social Science Scott, Jacqueline L. Scott, Yu Xie, 2012 |
| computational social science masters: Big Data in Computational Social Science and Humanities Shu-Heng Chen, 2018-11-21 This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications. The second part of the book provides a panoramic view of the development of big data in the fields of computational social sciences and humanities. The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research? With the advent of the information age and technologies such as Web 2.0, ubiquitous computing, wearable devices, and the Internet of Things, digital society has fundamentally changed what we now know as data, the very use of this data, and what we now call knowledge. Big data has become the standard in social sciences, and has made these sciences more computational. Big Data in Computational Social Science and Humanities will appeal to graduate students and researchers working in the many subfields of the social sciences and humanities. |
| computational social science masters: The Fuzzy and the Techie Scott Hartley, 2018 A leading venture capitalist offers surprising revelations on who will be driving innovation in the years to come. |
| computational social science masters: Handbook of Computational Social Science for Policy Eleonora Bertoni, Matteo Fontana, Lorenzo Gabrielli, Serena Signorelli, Michele Vespe, 2023-01-23 This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a small, proof-of concept, scale that prevented from unleashing its potential to provide systematic impact to the policy cycle, as well as from improving the understanding of societal problems to the definition, assessment, evaluation, and monitoring of policies. The aim of this handbook is to fill this gap by exploring ways to analyse and model data for policy support, and to advocate the adoption of CSS solutions for policy by raising awareness of existing implementations of CSS in policy-relevant fields. To this end, the book explores applications of computational methods and approaches like big data, machine learning, statistical learning, sentiment analysis, text mining, systems modelling, and network analysis to different problems in the social sciences. The book is structured into three Parts: the first chapters on foundational issues open with an exposition and description of key policymaking areas where CSS can provide insights and information. In detail, the chapters cover public policy, governance, data justice and other ethical issues. Part two consists of chapters on methodological aspects dealing with issues such as the modelling of complexity, natural language processing, validity and lack of data, and innovation in official statistics. Finally, Part three describes the application of computational methods, challenges and opportunities in various social science areas, including economics, sociology, demography, migration, climate change, epidemiology, geography, and disaster management. The target audience of the book spans from the scientific community engaged in CSS research to policymakers interested in evidence-informed policy interventions, but also includes private companies holding data that can be used to study social sciences and are interested in achieving a policy impact. |
| computational social science masters: Computational Social Science in the Age of Big Data Martin Welker, Cathleen M. Stützer, Marc Egger, 2018-02-19 Der Sammelband Computational Social Science in the Age of Big Data beschäftigt sich mit Konzepten, Methoden, Tools und Anwendungen (automatisierter) datengetriebener Forschung mit sozialwissenschaftlichem Hintergrund. Der Fokus des Bandes liegt auf der Etablierung der Computational Social Science (CSS) als aufkommendes Forschungs- und Anwendungsfeld. Es werden Beiträge international namhafter Autoren präsentiert, die forschungs- und praxisrelevante Themen dieses Bereiches besprechen. Die Herausgeber forcieren dabei einen interdisziplinären Zugang zum Feld, der sowohl Online-Forschern aus der Wissenschaft wie auch aus der angewandten Marktforschung einen Einstieg bietet. |
| computational social science masters: Text as Data Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart, 2022-03-29 A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry |
| computational social science masters: Handbook of Statistical Analysis and Data Mining Applications Ken Yale, Robert Nisbet, Gary D. Miner, 2017-11-09 Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications |
| computational social science masters: Turkish Natural Language Processing Kemal Oflazer, Murat Saraçlar, 2018-07-20 This book brings together work on Turkish natural language and speech processing over the last 25 years, covering numerous fundamental tasks ranging from morphological processing and language modeling, to full-fledged deep parsing and machine translation, as well as computational resources developed along the way to enable most of this work. Owing to its complex morphology and free constituent order, Turkish has proved to be a fascinating language for natural language and speech processing research and applications. After an overview of the aspects of Turkish that make it challenging for natural language and speech processing tasks, this book discusses in detail the main tasks and applications of Turkish natural language and speech processing. A compendium of the work on Turkish natural language and speech processing, it is a valuable reference for new researchers considering computational work on Turkish, as well as a one-stop resource for commercial and research institutions planning to develop applications for Turkish. It also serves as a blueprint for similar work on other Turkic languages such as Azeri, Turkmen and Uzbek. |
| computational social science masters: Proceedings of the 5th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym5) Robert Sottilare, 2017-07-17 This is the fifth year we have been able to capture the research and development efforts related to the Generalized Intelligent Framework for Tutoring (GIFT) community which at the writing of these proceedings has well over 1000 users in over 65 countries. We are proud of what we have been able to accomplish with the help of our user community. These proceedings are intended to document the evolutions of GIFT as a tool for the authoring of intelligent tutoring systems (ITSs) and the evaluation of adaptive instructional tools and methods. |
| computational social science masters: Mathematical Epidemiology Fred Brauer, Pauline van den Driessche, J. Wu, 2008-04-30 Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca). |
| computational social science masters: Computational Complexity Sanjeev Arora, Boaz Barak, 2009-04-20 New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students. |
| computational social science masters: The Professor Is In Karen Kelsky, 2015-08-04 The definitive career guide for grad students, adjuncts, post-docs and anyone else eager to get tenure or turn their Ph.D. into their ideal job Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration. Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set themselves up for success. They know what really moves the needle in academic job searches, how to avoid the all-too-common mistakes that sink so many of their peers, and how to decide when to point their Ph.D. toward other, non-academic options. Karen Kelsky has made it her mission to help readers join the select few who get the most out of their Ph.D. As a former tenured professor and department head who oversaw numerous academic job searches, she knows from experience exactly what gets an academic applicant a job. And as the creator of the popular and widely respected advice site The Professor is In, she has helped countless Ph.D.’s turn themselves into stronger applicants and land their dream careers. Now, for the first time ever, Karen has poured all her best advice into a single handy guide that addresses the most important issues facing any Ph.D., including: -When, where, and what to publish -Writing a foolproof grant application -Cultivating references and crafting the perfect CV -Acing the job talk and campus interview -Avoiding the adjunct trap -Making the leap to nonacademic work, when the time is right The Professor Is In addresses all of these issues, and many more. |
| computational social science masters: Catholic School Leadership Anthony J. Dosen, Barbara S. Rieckhoff, 2016-01-01 The administration of Pre K – 12 Catholic schools becomes more challenging each year. Catholic school leaders not only have the daunting task of leading a successful learning organization, but also to serve as the school community’s spiritual leader and the vigilant steward who keeps the budget balanced, the building clean, and maintaining a healthy enrollment in the school. Each of these tasks can be a full time job, yet the Catholic school principal takes on these tasks day after day, year after year, so that teachers may teach as Jesus did. The goal of this book is to provide both beginning and seasoned Catholic school leaders with some insights that might help them to meet these challenges with a sense of confidence. The words in this text provide research?based approaches for dealing with issues of practice, especially those tasks that are not ordinarily taught in educational leadership programs. This text helps to make sense of the pastoral side of Catholic education, in terms of structures, mission, identity, curriculum, and relationships with the principal’s varied constituencies. It also provides some insights into enrollment management issues, finances and development, and the day in day out care of the organization and its home, the school building. As a Catholic school leader, each must remember that the Catholic school is not just another educational option. The Catholic school has a rich history and an important mission. Historically, education of the young goes back to the monastic and cathedral schools of the Middle Ages. In the United States, Catholic schools developed as a response to anti?Catholic bias that was rampant during the nineteenth century. Catholic schools developed to move their immigrant and first generation American youth from the Catholic ghetto to successful careers and lives in the American mainstream. However, most importantly, Catholic schools have brought Christ to generations of youngsters. It remains the continuing call of the Catholic school to be a center of Evangelization—a place where Gospel values live in the lives of faculty, students and parents. This text attempts to integrate the unique challenges of the instructional leader of the institution with the historical and theological underpinnings of contemporary Catholic education. |
| computational social science masters: Fifth Dimensional Operations Charles Heal, Robert J. Bunker, 2014-07-15 Examples of 5th dimensional practical applications derived from advanced weaponry which generates an invisible pain barrier and a video camera & infrared attachment which allows for crossing the human-sensing dimensional barrier and seeing into barricaded rooms. |
| computational social science masters: Smart and Digital Cities Vitor Nazário Coelho, Igor Machado Coelho, Thays A.Oliveira, Luiz Satoru Ochi, 2019-05-27 This book presents up-to-date information on the future digital and smart cities. In particular, it describes novel insights about the use of computational intelligence techniques and decentralized technologies, covering urban aspects and services, cities governance and social sciences. The topics covered here range from state-of-the-art computational techniques to current discussions regarding drones, blockchain, smart contracts and cryptocurrencies. The idealization of this material emerged with a journey of free knowledge exchange from a diverse group of authors, who met each other through four different events (workshops and special sessions) organized with the purpose of boosting the concepts surrounding smart cities. We believe that this book comprises innovative and precise information regarding state-of-the-art applications and ideas for the future of cities and society. It will surely be useful not only for the academic community but also to the industry professionals and city managers. |
| computational social science masters: Data Feminism Catherine D'Ignazio, Lauren F. Klein, 2020-03-31 A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed. |
| computational social science masters: Terrified Chris Bail, 2016-08-02 In July 2010, Terry Jones, the pastor of a small fundamentalist church in Florida, announced plans to burn two hundred Qur'ans on the anniversary of the September 11 attacks. Though he ended up canceling the stunt in the face of widespread public backlash, his threat sparked violent protests across the Muslim world that left at least twenty people dead. In Terrified, Christopher Bail demonstrates how the beliefs of fanatics like Jones are inspired by a rapidly expanding network of anti-Muslim organizations that exert profound influence on American understanding of Islam. Bail traces how the anti-Muslim narrative of the political fringe has captivated large segments of the American media, government, and general public, validating the views of extremists who argue that the United States is at war with Islam and marginalizing mainstream Muslim-Americans who are uniquely positioned to discredit such claims. Drawing on cultural sociology, social network theory, and social psychology, he shows how anti-Muslim organizations gained visibility in the public sphere, commandeered a sense of legitimacy, and redefined the contours of contemporary debate, shifting it ever outward toward the fringe. Bail illustrates his pioneering theoretical argument through a big-data analysis of more than one hundred organizations struggling to shape public discourse about Islam, tracing their impact on hundreds of thousands of newspaper articles, television transcripts, legislative debates, and social media messages produced since the September 11 attacks. The book also features in-depth interviews with the leaders of these organizations, providing a rare look at how anti-Muslim organizations entered the American mainstream. |
| computational social science masters: Graduate Programs in the Humanities, Arts & Social Sciences 2014 (Grad 2) Peterson's, 2013-11-22 Peterson's Graduate Programs in the Humanities, Arts & Social Sciences 2014 contains comprehensive profiles of more than 11,000 graduate programs in disciplines such as, applied arts & design, area & cultural studies, art & art history, conflict resolution & mediation/peace studies, criminology & forensics, language & literature, psychology & counseling, religious studies, sociology, anthropology, archaeology and more. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, requirements, expenses, financial support, faculty research, and unit head and application contact information. There are helpful links to in-depth descriptions about a specific graduate program or department, faculty members and their research, and more. There are also valuable articles on financial assistance, the graduate admissions process, advice for international and minority students, and facts about accreditation, with a current list of accrediting agencies. |
| computational social science masters: Data Mining For Dummies Meta S. Brown, 2014-09-04 Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining. |
| computational social science masters: Legislator Success in Fragmented Congresses in Argentina Ernesto Calvo, 2014-06-16 Plurality-led congresses are among the most pervasive and least studied phenomena in presidential systems around the world. Often conflated with divided government, where an organized opposition controls a majority of seats in congress, plurality-led congresses are characterized by a party with fewer than fifty percent of the seats still in control of the legislative gates. Extensive gatekeeping authority without plenary majorities, this book shows, leads to policy outcomes that are substantially different from those observed in majority-led congresses. Through detailed analyses of legislative success in Argentina and Uruguay, this book explores the determinants of law enactment in fragmented congresses. It describes in detail how the lack of majority support explains legislative success in standing committees, the chamber directorate, and on the plenary floor. |
| computational social science masters: Evaluating Elections R. Michael Alvarez, Lonna Rae Atkeson, Thad E. Hall, 2013 This book explores how the tools of public management and policy evaluation can generate the data to improve elections. |
| computational social science masters: Systems Modeling and Simulation Koji Koyamada, Shinsuke Tamura, Osama Ono, 2007-07-05 The Asia Simulation Conference 2006 (JSST 2006) was aimed at exploring challenges in methodologies for modeling, control and computation in simu lation, and their applications in social, economic, and financial fields as well as established scientific and engineering solutions. The conference was held in Tokyo from October 30 to November 1, 2006, and included keynote speeches presented by technology and industry leaders, technical sessions, organized sessions, poster sessions, and vendor exhibits. It was the seventh annual inter national conference on system simulation and scientific computing, which is organized by the Japan Society for Simulation Technology (JSST), the Chi nese Association for System Simulation (CASS), and the Korea Society for Simulation (KSS). For the conference, all submitted papers were refereed by the international technical program committee, each paper receiving at least two independent reviews. After careful reviews by the committee, 65 papers from 143 submis sions were selected for oral presentation. This volume includes the keynote speakers' papers along with the papers presented at the oral sessions and the organized sessions. As a result, we are publishing 87 papers for the conference in this volume. In addition to the scientific tracts presented, the conference featured keynote presentations by five invited speakers. We are grateful to them for accepting our invitation and for their presentations. We also would like to express our gratitude to all contributors, reviewers, technical program conmiittee members, and organizing committee members who made the conference very successful. |
| computational social science masters: Social Simulation: Technologies, Advances and New Discoveries Edmonds, Bruce, Troitzsch, Klaus G., Hern ndez Iglesias, Ces reo, 2007-08-31 This book, a reference survey of social simulation work comprehensively collects the most exciting developments in the field. Drawing research contributions from a vibrant community of experts on social simulation, it provides a set of unique and innovative approaches, ranging from agent-based modeling to empirically based simulations, as well as applications in business, governmental, scientific, and other contexts--Provided by publisher. |
| computational social science masters: Research in Biological and Medical Sciences Walter Reed Army Institute of Research, 1973 |
| computational social science masters: Press Freedom in Contemporary Asia Tina Burrett, Jeffrey Kingston, 2019-11-05 This book analyzes the constraints on press freedom and the ways in which independent reporting and reporters are at risk in contemporary Asia to provide a barometer of democratic development in the region. Based on in-depth country case studies written by academics and journalists, and some who straddle both professions, from across the region, this book explores the roles of mainstream and online media, and how they are subject to abuse by the state and vested interests. Specific country chapters provide up-to-date information on Bangladesh, Kashmir, Malaysia, Myanmar, Nepal, Pakistan, Sri Lanka, Taiwan, Thailand and Vietnam, as well as on growing populist and nationalist challenges to media freedom in the Philippines, India, Indonesia and Japan. The book includes a theoretical chapter pulling together trends and common constraints facing newsrooms across Asia and a regional overview on the impact of social media. Three chapters on China provide insights into the country’s tightening information environment under President Xi Jinping. Moreover, the legal environment of the media, political and external pressures, economic considerations, audience support and journalists’ standards and ethics are explored. As an international and interdisciplinary study, this book will appeal to undergraduates, graduates and scholars engaged in human rights, media studies, democratization, authoritarianism and Asian Studies, as well as Asia specialists, journalists, legal scholars, historians and political scientists. |
| computational social science masters: 21st Century Sports Sascha L. Schmidt, 2020-09-12 This book outlines the effects that technology-induced change will have on sport within the next five to ten years, and provides food for thought concerning what lies further ahead. Presented as a collection of essays, the authors are leading academics from renowned institutions such as Massachusetts Institute of Technology, Queensland University of Technology, and the University of Cambridge, and practitioners with extensive technological expertise. In their essays, the authors examine the impacts of emerging technologies like artificial intelligence, the Internet of Things, and robotics on sports and assess how they will change sport itself, consumer behavior, and existing business models. The book will help athletes, entrepreneurs, and innovators working in the sports industry to spot trendsetting technologies, gain deeper insights into how they will affect their activities, and identify the most effective responses to stay ahead of the competition both on and off the pitch. |
| computational social science masters: Textile Conservation Frances Lennard, Patricia Ewer, Laura Mina, 2024-03-07 This second edition of Textile Conservation offers an up-to-date perspective on the role and practice of textile conservators, capturing the diversity of textile conservation work across the globe. The volume considers key factors that are integral to effective conservation decision-making. It achieves this by focusing on four major factors that have influenced development in textile conservation practice over the past decades: the changing context, an evolution in the way conservators think about objects, the greater involvement of stakeholders, and technical development. Features of the new edition include: Updated chapters that explain new techniques and recent developments in the field; New and updated international case studies that demonstrate conservation decision-making in practice, including assessments of the conservation of objects in some of the world’s major cultural institutions; Full-colour illustrations that demonstrate conservation in practice. Textile Conservation will be essential reading for conservators around the world. It will also be of great interest to academics and students engaged in the study of the conservation of textiles, as well as museum and heritage professionals. |
| computational social science masters: Political Communication in the Time of Coronavirus Peter Van Aelst, Jay G. Blumler, 2021-09-13 This book examines how the COVID-19 pandemic impacted the flows of communication between politicians, journalists, and citizens. Distinguished contributors grapple with how the pandemic, as a global unexpected event, disrupted the communication process and changed the relationships between politics, media, and publics, the three central players of political communication. Using different methodologies, they scrutinize changes in government communication, (new) media coverage, and public opinion during this crisis. The book moves beyond the USA and Western Europe to include cases from Eastern Europe, Latin America, and Asia, taking into account how variations in the political context, the media system and personal leadership can influence how the COVID-19 pandemic challenged the political communication process. It is an ideal text for advanced students and scholars of political communication, political science, and media studies. Chapter 13 of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license available at http://www.taylorfrancis.com. |
COMPUTATIONAL definition | Cambridge English Dictionary
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Discover everything about the word "COMPUTATIONAL" in English: meanings, translations, synonyms, pronunciations, examples, and grammar insights - all in one comprehensive guide.
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Learn about the four cornerstones of computational thinking including decomposition, pattern recognition, abstraction and algorithms.
Computational Definition & Meaning - YourDictionary
Computational definition: Of or relating to
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COMPUTATIONAL definition | Cambridge English Dictionary
COMPUTATIONAL meaning: 1. involving the calculation of answers, amounts, results, etc.: 2. using computers to study…. Learn more.
COMPUTATIONAL Definition & Meaning - Merriam-Webster
The meaning of COMPUTATION is the act or action of computing : calculation. How to use computation in a sentence.
Computation - Wikipedia
Mechanical or electronic devices (or, historically, people) that perform computations are known as computers. …
Computational science - Wikipedia
Computational science, also known as scientific computing, technical computing or scientific computation (SC), is a division of …
Computational - Definition, Meaning & Synonyms - Vocabulary…
Computational is an adjective referring to a system of calculating or "computing," or, more commonly today, work involving …
