computational social science certificate: 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 certificate: Proceedings of the 4th International Conference on New Computational Social Science (ICNCSS 2024) ROSHAN CHITRAKAR; MATA LILIANA; DAN DOBROTA; CHEW., Roshan Chitrakar, 2024 |
computational social science certificate: Introduction to Computational Social Science Claudio Cioffi-Revilla, 2013-12-31 This reader-friendly textbook is the first work of its kind to provide a unified Introduction to Computational Social Science (CSS). Four distinct methodological approaches are examined in detail, namely automated social information extraction, social network analysis, social complexity theory and social simulation modeling. The coverage of these approaches is supported by a discussion of the historical context, as well as by a list of texts for further reading. Features: highlights the main theories of the CSS paradigm as causal explanatory frameworks that shed new light on the nature of human and social dynamics; explains how to distinguish and analyze the different levels of analysis of social complexity using computational approaches; discusses a number of methodological tools; presents the main classes of entities, objects and relations common to the computational analysis of social complexity; examines the interdisciplinary integration of knowledge in the context of social phenomena. |
computational social science certificate: Comparative Textual Media N. Katherine Hayles, Jessica Pressman, 2013-12-01 For the past few hundred years, Western cultures have relied on print. When writing was accomplished by a quill pen, inkpot, and paper, it was easy to imagine that writing was nothing more than a means by which writers could transfer their thoughts to readers. The proliferation of technical media in the latter half of the twentieth century has revealed that the relationship between writer and reader is not so simple. From telegraphs and typewriters to wire recorders and a sweeping array of digital computing devices, the complexities of communications technology have made mediality a central concern of the twenty-first century. Despite the attention given to the development of the media landscape, relatively little is being done in our academic institutions to adjust. In Comparative Textual Media, editors N. Katherine Hayles and Jessica Pressman bring together an impressive range of essays from leading scholars to address the issue, among them Matthew Kirschenbaum on archiving in the digital era, Patricia Crain on the connection between a child’s formation of self and the possession of a book, and Mark Marino exploring how to read a digital text not for content but for traces of its underlying code. Primarily arguing for seeing print as a medium along with the scroll, electronic literature, and computer games, this volume examines the potential transformations if academic departments embraced a media framework. Ultimately, Comparative Textual Media offers new insights that allow us to understand more deeply the implications of the choices we, and our institutions, are making. Contributors: Stephanie Boluk, Vassar College; Jessica Brantley, Yale U; Patricia Crain, NYU; Adriana de Souza e Silva, North Carolina State U; Johanna Drucker, UCLA; Thomas Fulton, Rutgers U; Lisa Gitelman, New York U; William A. Johnson, Duke U; Matthew G. Kirschenbaum, U of Maryland; Patrick LeMieux; Mark C. Marino, U of Southern California; Rita Raley, U of California, Santa Barbara; John David Zuern, U of Hawai‘i at Mānoa. |
computational social science certificate: 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 certificate: 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 certificate: Handbook of Computational Social Science, Volume 2 Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu, Lars 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 second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into 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 scientific and engineering sectors. |
computational social science certificate: Peterson's Graduate Programs in the Social Sciences 2011 Peterson's, 2011-07-01 Peterson's Graduate Programs in the Social Sciences contains a wealth of information on colleges and universities that offer graduate work in Area & Cultural Studies; Communication & Media; Conflict Resolution & Mediation/Peace Studies; Criminology & Forensics; Economics; Family & Consumer Sciences; Geography; Military & Defense Studies; Political Science & International Affairs; Psychology & Counseling; Public, Regional, & Industrial Affairs; Social Sciences; and Sociology, Anthropology, & Archaeology. Institutions listed include those in the United States, Canada, and abroad that are accredited by U.S. accrediting agencies. 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, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. Readers will find helpful links to in-depth descriptions that offer additional detailed information about a specific program or department, faculty members and their research, and much more. In addition, there are 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 certificate: 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 certificate: Advances in Computational Social Science Shu-Heng Chen, Takao Terano, Ryuichi Yamamoto, Chung-Ching Tai, 2014-05-22 This volume is a post-conference publication of the 4th World Congress on Social Simulation (WCSS), with contents selected from among the 80 papers originally presented at the conference. WCSS is a biennial event, jointly organized by three scientific communities in computational social science, namely, the Pacific-Asian Association for Agent-Based Approach in Social Systems Sciences (PAAA), the European Social Simulation Association (ESSA), and the Computational Social Science Society of the Americas (CSSSA). It is, therefore, currently the most prominent conference in the area of agent-based social simulation. The papers selected for this volume give a holistic view of the current development of social simulation, indicating the directions for future research and creating an important archival document and milestone in the history of computational social science. Specifically, the papers included here cover substantial progress in artificial financial markets, macroeconomic forecasting, supply chain management, bank networks, social networks, urban planning, social norms and group formation, cross-cultural studies, political party competition, voting behavior, computational demography, computational anthropology, evolution of languages, public health and epidemics, AIDS, security and terrorism, methodological and epistemological issues, empirical-based agent-based modeling, modeling of experimental social science, gaming simulation, cognitive agents, and participatory simulation. Furthermore, pioneering studies in some new research areas, such as the theoretical foundations of social simulation and categorical social science, also are included in the volume. |
computational social science certificate: Graduate & Professional Programs: An Overview 2015 (Grad 1) Peterson's, 2014-12-23 Graduate & Professional Programs: An Overview 2015 contains over 2,000 university and college profiles with detailed information on the degrees available, enrollment figures, tuition, financial support, housing, faculty, research affiliations, library facilities, and contact information. This graduate guide enables students to explore program listings by field, geographic area, and institution. Two-page in-depth descriptions, written by each featured institution, give complete details on the graduate study available. Up-to-date appendixes list institution changes since the last edition and abbreviations used in the guide. Graduate & Professional Programs: An Overview 2015 is the latest in Peterson's 40+ year history of providing prospective students with the most up-to-date graduate school information available. |
computational social science certificate: Agent-based Modeling of Tax Evasion Sascha Hokamp, Laszlo Gulyas, Matthew Koehler, Sanith Wijesinghe, 2018-02-12 The only single-source guide to understanding, using, adapting, and designing state-of-the-art agent-based modelling of tax evasion A computational method for simulating the behavior of individuals or groups and their effects on an entire system, agent-based modeling has proven itself to be a powerful new tool for detecting tax fraud. While interdisciplinary groups and individuals working in the tax domain have published numerous articles in diverse peer-reviewed journals and have presented their findings at international conferences, until Agent-based Modelling of Tax Evasion there was no authoritative, single-source guide to state-of-the-art agent-based tax evasion modeling techniques and technologies. Featuring contributions from distinguished experts in the field from around the globe, Agent-Based Modelling of Tax Evasion provides in-depth coverage of an array of field tested agent-based tax evasion models. Models are presented in a unified format so as to enable readers to systematically work their way through the various modeling alternatives available to them. Three main components of each agent-based model are explored in accordance with the Overview, Design Concepts, and Details (ODD) protocol, each section of which contains several sub elements that help to illustrate the model clearly and that assist readers in replicating the modeling results described. Presents models in a unified and structured manner to provide a point of reference for readers interested in agent-based modelling of tax evasion Explores the theoretical aspects and diversity of agent-based modeling through the example of tax evasion Provides an overview of the characteristics of more than thirty agent-based tax evasion frameworks Functions as a solid foundation for lectures and seminars on agent-based modelling of tax evasion The only comprehensive treatment of agent-based tax evasion models and their applications, this book is an indispensable working resource for practitioners and tax evasion modelers both in the agent-based computational domain and using other methodologies. It is also an excellent pedagogical resource for teaching tax evasion modeling and/or agent-based modeling generally. |
computational social science certificate: Graduate Programs in the Humanities, Arts and Social Sciences 2008 Peterson's Guides Staff, Peterson's, 2007-11 The six volumes of Peterson's Annual Guides to Graduate Study, the only annually updated reference work of its kind, provide wide-ranging information on the graduate and professional programs offered by accredited colleges and universities in the United States and U.S. territories and those in Canada, Mexico, Europe, and Africa that are accredited by U.S. accrediting bodies. Books 2 through 6 are divided into sections that contain one or more directories devoted to individual programs in a particular field. Book 2 contains more than 12,500 programs of study in 152 disciplines of the humanities, arts, and social sciences. |
computational social science certificate: Peterson's Graduate & Professional Programs: An Overview--Profiles of Institutions Offering Graduate & Professional Work Peterson's, 2011-06-01 Graduate & Professional Programs: An Overview--Profiles of Institutions Offering Graduate & Professional Work contains more than 2,300 university/college profiles that offer valuable information on graduate and professional degree programs and certificates, enrollment figures, tuition, financial support, housing, faculty, research affiliations, library facilities, and contact information. |
computational social science certificate: Peterson's Graduate and Professional Programs Peterson's Guides Staff, Peterson's, 2007-12 The six volumes of Peterson's Annual Guides to Graduate Study, the only annually updated reference work of its kind, provide wide-ranging information on the graduate and professional programs offered by accredited colleges and universities in the United States and U.S. territories and those in Canada, Mexico, Europe, and Africa that are accredited by U.S. accrediting bodies. Books 2 through 6 are divided into sections that contain one or more directories devoted to individual programs in a particular field. Book 1 includes institutional profiles indicating the degrees offered, enrollment figures, admission and degree requirements, tuition, financial aid, housing, faculty, research projects and facilities, and contacts at more than 2,000 institutions. |
computational social science certificate: Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas Ted Carmichael, Zining Yang, 2020-05-27 This book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2018 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 25 – 28, 2018, at the Drury Plaza Hotel. CSS investigates social and behavioral dynamics in both nature and society, through computer simulation, network analysis, and the science of complex systems. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings. What follows is a diverse representation of new approaches and research findings, using the tools of CSS and Agent-Based Modeling (ABM) in exploring complex phenomena across many different domains. Readers will not only have the methods and results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. This book, we hope, will appeal to any researchers and students working in the social sciences, broadly defined, who aim to better understand and apply the concepts of Complex Adaptive Systems to their work. |
computational social science certificate: Peterson's Graduate Schools in the U.S. 2010 Peterson's, 2009 Shares overviews of nearly one thousand schools for a variety of disciplines, in a directory that lists educational institutions by state and field of study while sharing complementary information about tuition, enrollment, and faculties. |
computational social science certificate: Graduate Programs in the Humanities, Arts & Social Sciences 2015 (Grad 2) Peterson's, 2014-11-25 Peterson's Graduate Programs in the Humanities, Arts & Social Sciences 2015 contains details on more than 11,000 graduate programs of study across all relevant disciplines-including the arts and architecture, communications and media, psychology and counseling, political science and international affairs, economics, and sociology, anthropology, archaeology, and more. Informative data profiles include facts and figures on accreditation, degree requirements, application deadlines and contact information, financial support, faculty, and student body profiles. Two-page in-depth descriptions, written by featured institutions, offer complete details on specific graduate programs, schools, or departments as well as information on faculty research. Comprehensive directories list programs in this volume, as well as others in the graduate series. |
computational social science certificate: Graduate & Professional Programs: An Overview 2011 (Grad 1) Peterson's, 2011-05-01 An Overview contains more than 2,300 university/college profiles that offer valuable information on graduate and professional degrees and certificates, enrollment figures, tuition, financial support, housing, faculty, research affiliations, library facilities, and contact information. This graduate guide enables students to explore program listings by field and institution. Two-page in-depth descriptions, written by administrators at featured institutions, give complete details on the graduate study available. Readers will benefit from the expert advice on the admissions process, financial support, and accrediting agencies. |
computational social science certificate: Graduate Programs in Business, Education, Information Studies, Law & Social Work 2014 (Grad 6) Peterson's, 2013-12-20 Peterson's Graduate Programs in Business, Education, Information Studies, Law & Social Work 2014 contains comprehensive profiles of more than 11,000 graduate programs in disciplines such as, accounting & finance, business administration & management, education, human resources, international business, law, library & information studies, marketing, social work, transportation management, and more. Up-to-date info, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable data on degree offerings, professional accreditation, jointly offered degrees, part-time & 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. Also find 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 certificate: Trends in Computational Social Choice Ulle Endriss, 2017 Computational social choice is concerned with the design and analysis of methods for collective decision making. It is a research area that is located at the interface of computer science and economics. The central question studied in computational social choice is that of how best to aggregate the individual points of view of several agents, so as to arrive at a reasonable compromise. Examples include tallying the votes cast in an election, aggregating the professional opinions of several experts, and finding a fair manner of dividing a set of resources amongst the members of a group -- Back cover. |
computational social science certificate: Graduate & Professional Programs: An Overview 2014 (Grad 1) Peterson's, 2014-01-09 Peterson's Graduate & Professional Programs: An Overview 2014 contains more than 2,250 university/college profiles that offer valuable information on graduate and professional degrees and certificates, enrollment figures, tuition, financial support, housing, faculty, research affiliations, library facilities, and contact information. This graduate guide enables students to explore program listings by field and by institution. Two-page in-depth descriptions, written by administrators at featured institutions, give complete details on the graduate study available. Readers will benefit from the expert advice on the admissions process, financial support, and accrediting agencies. |
computational social science certificate: Peterson's Graduate Programs in the Biological & Biomedical Sciences; Anatomy; and Biochemistry Peterson's, 2011-05-01 Peterson's Graduate Programs in the Biological & Biomedical Sciences,Anatomy, and Biochemistry contains a wealth of information on colleges and universities that offer graduate/professional degrees in these cutting-edge fields. Profiled institutions include those in the United States, Canada, and abroad that are accredited by U.S. accrediting agencies. 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, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. Readers will find helpful links to in-depth descriptions that offer additional detailed information about a specific program or department, faculty members and their research, and much more. In addition, there are 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 certificate: Computational Social Networks Ajith Abraham, 2012-08-14 This book is the second of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, concentrating on topics relating to security and privacy (the other two volumes review Tools, Perspectives, and Applications, and Mining and Visualization in CSNs). Topics and features: presents the latest advances in security and privacy issues in CSNs, and illustrates how both organizations and individuals can be protected from real-world threats; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, and the representation and analysis of social networks, with a focus on issues of security, privacy, and anonymization; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology. |
computational social science certificate: Graduate Programs in Engineering & Applied Sciences 2011 (Grad 5) Peterson's, 2011-05-01 Peterson's Graduate Programs in Engineering & Applied Sciences contains a wealth of information on colleges and universities that offer graduate degrees in the fields of Aerospace/Aeronautical Engineering; Agricultural Engineering & Bioengineering; Architectural Engineering, Biomedical Engineering & Biotechnology; Chemical Engineering; Civil & Environmental Engineering; Computer Science & Information Technology; Electrical & Computer Engineering; Energy & Power engineering; Engineering Design; Engineering Physics; Geological, Mineral/Mining, and Petroleum Engineering; Industrial Engineering; Management of Engineering & Technology; Materials Sciences & Engineering; Mechanical Engineering & Mechanics; Ocean Engineering; Paper & Textile Engineering; and Telecommunications. 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, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. As an added bonus, readers will find a helpful See Close-Up link to in-depth program descriptions written by some of these institutions. These Close-Ups offer detailed information about the specific program or department, faculty members and their research, and links to the program Web site. In addition, there are valuable articles on financial assistance and support at the graduate level and the graduate admissions process, with special advice for international and minority students. Another article discusses important facts about accreditation and provides a current list of accrediting agencies. |
computational social science certificate: Peterson's Graduate Programs in the Physical Sciences 2011 Peterson's, 2011-05-01 Peterson's Graduate Programs in the Physical Sciences contains a wealth of information on colleges and universities that offer graduate work in Astronomy and Astrophysics, Chemistry, Geosciences, Marine Sciences and Oceanography, Meteorology and Atmospheric Sciences, and Physics. The institutions listed include those in the United States, Canada, and abroad that are accredited by U.S. accrediting bodies. Up-to-date information, 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, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. As an added bonus, readers will find a helpful See Close-Up link to in-depth program descriptions written by some of these institutions. These Close-Ups offer detailed information about the physical sciences program, faculty members and their research, and links to the program or department's Web site. In addition, there are valuable articles on financial assistance and support at the graduate level and the graduate admissions process, with special advice for international and minority students. Another article discusses important facts about accreditation and provides a current list of accrediting agencies. |
computational social science certificate: Graduate Schools in the U.S. 2011 Peterson's, 2010-07-01 Peterson's Graduate Schools in the U.S. is the snapshot paperback version of the hardcover Peterson's Graduate & Professional Programs: An Overview (book one of the six-volume hardcover Grad series). This book includes articles with information on how to finance a graduate education, tips on choosing the right program, and why accreditation is important. It has up-to-date information on hundreds of U.S. institutions that offer master's and doctoral degree programs in a wide range of fields--from accounting to zoology--with facts and figures on enrollment, faculty, computer and library facilities, expenses, and contact information. The program listings are searchable by state or filed and includes an alphabetical school index. |
computational social science certificate: Peterson's Graduate Programs in Biomedical Engineering & Biotechnology, Chemical Engineering, and Civil & Environmental Engineering 2011 Peterson's, 2011-05-01 Peterson's Graduate Programs in Biomedical Engineering & Biotechnology, Chemical Engineering, and Civil & Environmental Engineering contains a wealth of information on colleges and universities that offer graduate degrees in these cutting-edge fields. The institutions listed include those in the United States, Canada, and abroad that are accredited by U.S. accrediting bodies. 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, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. Readers will find helpful links to in-depth descriptions that offer additional detailed information about a specific program or department, faculty members and their research, and much more. In addition, there are 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 certificate: Peterson's Graduate Programs in Biophysics; Botany & Plant Biology; and Cell, Molecular, & Structural Biology Peterson's, 2011-05-01 Peterson's Graduate Programs in the Biophysics; Botany & Plant Biology; and Cell, Molecular, & Structural Biology contains a wealth of information on universities that offer graduate/professional degrees in these cutting-edge fields. Profiled institutions include those in the United States, Canada, and abroad that are accredited by U.S. accrediting agencies. 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, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. Readers will find helpful links to in-depth descriptions that offer additional detailed information about a specific program or department, faculty members and their research, and much more. In addition, there are 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 certificate: The Digital Black Atlantic Roopika Risam, Kelly Baker Josephs, 2021-03-16 Exploring the intersections of digital humanities and African diaspora studies How can scholars use digital tools to better understand the African diaspora across time, space, and disciplines? And how can African diaspora studies inform the practices of digital humanities? These questions are at the heart of this timely collection of essays about the relationship between digital humanities and Black Atlantic studies, offering critical insights into race, migration, media, and scholarly knowledge production. The Digital Black Atlantic spans the African diaspora’s range—from Africa to North America, Europe, and the Caribbean—while its essayists span academic fields—from history and literary studies to musicology, game studies, and library and information studies. This transnational and interdisciplinary breadth is complemented by essays that focus on specific sites and digital humanities projects throughout the Black Atlantic. Covering key debates, The Digital Black Atlantic asks theoretical and practical questions about the ways that researchers and teachers of the African diaspora negotiate digital methods to explore a broad range of cultural forms including social media, open access libraries, digital music production, and video games. The volume further highlights contributions of African diaspora studies to digital humanities, such as politics and representation, power and authorship, the ephemerality of memory, and the vestiges of colonialist ideologies. Grounded in contemporary theory and praxis, The Digital Black Atlantic puts the digital humanities into conversation with African diaspora studies in crucial ways that advance both. Contributors: Alexandrina Agloro, Arizona State U; Abdul Alkalimat; Suzan Alteri, U of Florida; Paul Barrett, U of Guelph; Sayan Bhattacharyya, Singapore U of Technology and Design; Agata Błoch, Institute of History of Polish Academy of Sciences; Michał Bojanowski, Kozminski U; Sonya Donaldson, New Jersey City U; Anne Donlon; Laurent Dubois, Duke U; Amy E. Earhart, Texas A&M U; Schuyler Esprit, U of the West Indies; Demival Vasques Filho, U of Auckland, New Zealand; David Kirkland Garner; Alex Gil, Columbia U; Kaiama L. Glover, Barnard College, Columbia U; D. Fox Harrell, MIT; Hélène Huet, U of Florida; Mary Caton Lingold, Virginia Commonwealth U; Angel David Nieves, San Diego State U; Danielle Olson, MIT; Tunde Opeibi (Ope-Davies), U of Lagos, Nigeria; Jamila Moore Pewu, California State U, Fullerton; Anne Rice, Lehman College, CUNY; Sercan Şengün, Northeastern U; Janneken Smucker, West Chester U; Laurie N.Taylor, U of Florida; Toniesha L. Taylor, Texas Southern U. |
computational social science certificate: Peterson's Graduate Programs in Neuroscience & Neurobiology; Nutrition; and Parasitology Peterson's, 2011-05-01 Peterson's Graduate Programs in Neuroscience & Neurobiology; Nutrition; and Parasitology contains a wealth of information on universities that offer graduate/professional degrees in these cutting-edge fields. 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, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. Readers will find helpful links to in-depth descriptions that offer additional detailed information about a specific program or department, faculty members and their research, and much more. In addition, there are 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 certificate: The Communication Crisis in America, And How to Fix It Mark Lloyd, Lewis A. Friedland, 2016-10-27 with foreword by Michael X. Delli Carpini, Annenberg School for Communication, University of Pennsylvania, USA This book critiques U.S. public policy about communication and offers guidelines to improve public safety and create strong democratic communities. The lack of effective emergency communication, basic information about health care, education, jobs and the economy, and civic life is at a crisis state, creating problems for the whole community, not just a vulnerable few. The Communications Crisis in America is not because of changing markets or new technology, it is the failure of public policy. The authors include economists, sociologists, journalists, lawyers and a diverse group of media and communication scholars, all offering an urgent call to action and difficult, but achievable steps forward. |
computational social science certificate: Graduate Programs in Business, Education, Information Studies, Law & Social Work 2015 (Grad 6) Peterson's, 2014-12-30 Graduate Programs in Business, Education, Information Studies, Law & Social Work 2015 contains helpful facts and figures on more than 11,000 graduate programs. The comprehensive directory includes more than 1,850 institutions and their programs in all of the relevant disciplines such as accounting and finance, business management, education, law, library and information sciences, marketing, social work, and many more. Informative data profiles feature facts and figures on accreditation, degree requirements, application deadlines, contact information, financial support, faculty, and student body profiles. Two-page in-depth descriptions, written by featured institutions, offer complete details on specific graduate program, school, or department as well as information on faculty research. Comprehensive directories list programs in this volume, as well as others in the graduate series. |
computational social science certificate: Encyclopedia of Cloud Computing San Murugesan, Irena Bojanova, 2016-05-09 The Encyclopedia of Cloud Computing provides IT professionals, educators, researchers and students with a compendium of cloud computing knowledge. Authored by a spectrum of subject matter experts in industry and academia, this unique publication, in a single volume, covers a wide range of cloud computing topics, including technological trends and developments, research opportunities, best practices, standards, and cloud adoption. Providing multiple perspectives, it also addresses questions that stakeholders might have in the context of development, operation, management, and use of clouds. Furthermore, it examines cloud computing's impact now and in the future. The encyclopedia presents 56 chapters logically organized into 10 sections. Each chapter covers a major topic/area with cross-references to other chapters and contains tables, illustrations, side-bars as appropriate. Furthermore, each chapter presents its summary at the beginning and backend material, references and additional resources for further information. |
computational social science certificate: Peterson's Graduate Schools in the U.S., 2008 Peterson's Guides Staff, 2007 Petersons compact guide is perfect for those who are seeking a graduate education. Abbreviated overviews of nearly 1,000 schools provide an array of possibilities in a variety of academic disciplinesfrom accounting to zoology. School listings by state or field of study. The latest information on enrollment, expenses, faculty, and more. Tips on finding the right program to suit every aspiration |
computational social science certificate: Graduate Programs in the Physical Sciences, Mathematics, Agricultural Sciences, the Environment & Natural Resources 2011 (Grad 4) Peterson's, 2011-05-01 Peterson's Graduate Programs in the Physical Sciences, Mathematics, Agricultural Sciences, the Environment & Natural Resources contains a wealth of information on colleges and universities that offer graduate work in these exciting fields. The institutions listed include those in the United States and Canada, as well international institutions that are accredited by U.S. accrediting bodies. Up-to-date information, 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, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. Readers will find helpful links to in-depth descriptions that offer additional detailed information about a specific program or department, faculty members and their research, and much more. In addition, there are 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 certificate: Peterson's Graduate Programs Programs in Mathematics 2011 Peterson's, 2011-05-01 Peterson's Graduate Programs in Mathematics contains a wealth of information on colleges and universities that offer graduate work in Applied Mathematics, Applied Statistics, Biomathematics, Biometry, Biostatistics, Computational Sciences, Mathematical and Computational Finance, Mathematics, and Statistics. The institutions listed include those in the United States, Canada, and abroad that are accredited by U.S. accrediting bodies. Up-to-date information, 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, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. Readers will find helpful links to in-depth descriptions that offer additional detailed information about a specific program or department, faculty members and their research, and much more.In addition, there are 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 certificate: Envisioning the Data Science Discipline National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-03-05 The need to manage, analyze, and extract knowledge from data is pervasive across industry, government, and academia. Scientists, engineers, and executives routinely encounter enormous volumes of data, and new techniques and tools are emerging to create knowledge out of these data, some of them capable of working with real-time streams of data. The nation's ability to make use of these data depends on the availability of an educated workforce with necessary expertise. With these new capabilities have come novel ethical challenges regarding the effectiveness and appropriateness of broad applications of data analyses. The field of data science has emerged to address the proliferation of data and the need to manage and understand it. Data science is a hybrid of multiple disciplines and skill sets, draws on diverse fields (including computer science, statistics, and mathematics), encompasses topics in ethics and privacy, and depends on specifics of the domains to which it is applied. Fueled by the explosion of data, jobs that involve data science have proliferated and an array of data science programs at the undergraduate and graduate levels have been established. Nevertheless, data science is still in its infancy, which suggests the importance of envisioning what the field might look like in the future and what key steps can be taken now to move data science education in that direction. This study will set forth a vision for the emerging discipline of data science at the undergraduate level. This interim report lays out some of the information and comments that the committee has gathered and heard during the first half of its study, offers perspectives on the current state of data science education, and poses some questions that may shape the way data science education evolves in the future. The study will conclude in early 2018 with a final report that lays out a vision for future data science education. |
computational social science certificate: Learning to Teach in the Secondary School Susan Capel, Marilyn Leask, Sarah Younie, Elizabeth Hidson, Julia Lawrence, 2022-07-29 The market leading text for beginning teachers on all undergraduate, postgraduate and school-based routes to QTS, this is an essential introduction to the key skills and knowledge needed to become a successful teacher. Offering advice on all aspects of teaching and learning, this ninth edition has been thoroughly updated to reflect changes in the field and covers key new topics, including the science of learning, online pedagogies and working with your mentor. There are also expanded units on diversity and inclusion and teacher wellbeing. The text includes a wealth of examples and tasks to support you in successfully applying theory to practice, and in critically reflecting on and analysing your practice to maximise pupil learning. The wide range of pedagogical features supports both school- and university-based work up to Masters level. Written by experts in the field, the 41 concise units are underpinned by evidence-informed practice and focus on what you need to know to thrive in the classroom, including: lesson planning; curriculum; managing behaviour; online lessons and digital resources; effective communication with pupils; how pupils learn; assessment, marking and feedback; diversity and inclusion; special educational needs and disabilities (SEND); managing stress, workload and time; applying for jobs, developing as a professional and networking. The book is extended and enhanced through a companion website that includes: Animated explainer videos, to introduce and summarise key topics; A selection of downloadable and editable tables and figures from the book, so that the most practical elements can be taken out of study and into practice; Additional material and interactive features to support selected units, such as focus questions for lesson observations, and flashcards to help analyse student behaviour; Bonus content, including ‘Starting to Teach’ chapters and a mapping document, supporting you to make links between the ninth edition chapters and key teaching standards. Supported by the subject-specific titles in the Learning to Teach Subjects in the Secondary School and A Practical Guide to Teaching Subjects in the Secondary School Series, it is an essential purchase for every aspiring secondary school teacher. |
computational social science certificate: Graduate Schools in the U.S. , 2007 |
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. Computer science is an academic field that involves the study of computation.
Computational science - Wikipedia
Computational science, also known as scientific computing, technical computing or scientific computation (SC), is a division of science, and more specifically the Computer Sciences, …
Computational - Definition, Meaning & Synonyms
Computational is an adjective referring to a system of calculating or "computing," or, more commonly today, work involving computers. Tasks with a lot of computational steps are best …
COMPUTATIONAL definition in American English - Collins Online …
Computational means using computers. Students may pursue research in any aspect of computational linguistics. Collins COBUILD Advanced Learner’s Dictionary. Copyright © …
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Define computational. computational synonyms, computational pronunciation, computational translation, English dictionary definition of computational. n. 1. a. The act or process of …
COMPUTATIONAL - Definition & Translations | Collins English …
Discover everything about the word "COMPUTATIONAL" in English: meanings, translations, synonyms, pronunciations, examples, and grammar insights - all in one comprehensive guide.
What is computational thinking? - Introduction to computational …
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
computation.
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. Computer science is an academic field that involves the study of computation.
Computational science - Wikipedia
Computational science, also known as scientific computing, technical computing or scientific computation (SC), is a division of science, and more specifically the Computer Sciences, …
Computational - Definition, Meaning & Synonyms - Vocabulary.com
Computational is an adjective referring to a system of calculating or "computing," or, more commonly today, work involving computers. Tasks with a lot of computational steps are best …
COMPUTATIONAL definition in American English - Collins Online …
Computational means using computers. Students may pursue research in any aspect of computational linguistics. Collins COBUILD Advanced Learner’s Dictionary. Copyright © …
Computational - definition of computational by ... - The Free …
Define computational. computational synonyms, computational pronunciation, computational translation, English dictionary definition of computational. n. 1. a. The act or process of …
COMPUTATIONAL - Definition & Translations | Collins English …
Discover everything about the word "COMPUTATIONAL" in English: meanings, translations, synonyms, pronunciations, examples, and grammar insights - all in one comprehensive guide.
What is computational thinking? - Introduction to computational
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
computation.