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This is the first ever historical dictionary of South Sudan as an independent nation. It focuses on the events, peoples, and cultures of South Sudan that were once treated as marginal to the grand narrative of Sudanese national history, but without disentangling South Sudan from wider historical connections across the Nile Valley and Northeast Africa. With an interpretive introduction by the three authors, it offers new perspectives on historical events and personalities, extensive coverage of recent events and current affairs, short biographies of leading social and political figures, an extensive chronology, a comprehensive bibliography, and maps based on current research illustrating specific issues confronting the new nation. Building on the classical anthropological and historical studies of South Sudanese peoples as well as new research, especially by South Sudanese authors, it provides a foundation on which to build new research on South Sudan and new perspectives on its shared history with Sudan and the wider region.

Historical Dictionary of South Sudan contains a chronology, an introduction, and an extensive bibliography. The dictionary section has more than 500 cross-referenced entries on important personalities as well as aspects of the country's politics, economy, foreign relations, religion, and culture. This book is an excellent resource for students, researchers, and anyone wanting to know more about South Sudan.

This is an edited collection of sustainability efforts in academic libraries, partnering with various types of institutions and organizations, including libraries from higher education that are public or private, research universities, degree-awarding or vocational, among others. This volume includes research, case studies, and reflective narratives from academic libraries and their collaborations working with varied partners toward operationalizing the United Nations' (UN) Sustainable Development Goals (SDGs).

This collection offers valuable insight into how academic library partnerships, both direct and indirect, contribute to sustainability efforts, with a focus on social equity, economic feasibility, and environmental stewardship to nurture community resilience. Structured into five sections, it highlights the global impact of academic libraries and their partners in adopting and implementing the SDGs to drive social change. These sections specifically explore how libraries are: serving the mission of higher education, extending education to sustainable cities, becoming embedded in communities, forming partnerships for greater impact, and achieving cross-cutting impacts across various initiatives.

These insightful chapters include innovative strategies and global perspectives on some of the cutting-edge work initiated and/or led by academic libraries to build sustainable and resilient communities, through collaborative ventures and out-of-the-box partnerships.

The Handbook of Reconfiguring Interpretation in PostQualitative Research addresses different roles, functions, and reconfigurations of interpretation in qualitative and postqualitative research.

This book connects interpretation to its histories while revisioning and reconfiguring what the future of interpretation and interpretive practices could be like and how different interpretations can shape qualitative and postqualitative relationalities, discourses, affects, and materialities. It addresses different roles, functions, and reconfigurations of interpretation in qualitative and postqualitative research. What happens to interpretation when it is put into different theoretical frames including postmodernism, posthumanism, postcolonialism? What has changed and how do different epistemological and ontological spaces offer different insights about interpretation and shape diverse uses for interpretation? How does interpretation function and what does it produce during these rapidly shifting cultural and political times?

This Handbook can be used as a main text for introduction to qualitative research courses, advanced courses focusing on interpretation, post qualitative research practices, or social science methodologies. It could also be used as a supplementary textbook for qualitative methods courses including qualitative design, representation, and (post)practices courses.

This method involves research participants listing what they know or think about the researcher's topic. This book incorporates free-list analyses with other analytical methods and demonstrates their broad applicability. The book starts with descriptive methods, then outlines a predictive statistical framework. The author explains how to collect, clean, and manage free-list data and how to use R to calculate and visualize them.

New to research? This book helps you understand, think about and interpret each stage of the research process before you dive in. The holistic coverage helps you 'think through' each step, from formulating questions and selecting methods to collecting data and analyzing results.

With new content on the ethics of digital research, online interviews and data protection, you will also find:

• 10 new Student Research Spotlights that demonstrate how you can foster a reflexive mindset;
• A strong emphasis on social justice, including principles for culturally-responsive research and methodologies that challenge colonial perspectives;
• 34 case studies of real-world research that apply theory to global contexts, from Portugal to Germany to Canada.

This new edition is essential for any undergraduate or postgraduate student looking to conduct social research with confidence and capability.

Interpretation in Qualitative Research: Key Concepts in Qualitative Research is an edited collection that makes a methodological contribution to the conceptual connections around/with/for/to interpretation, and it offers contemporary concept provocations to the literature on interpretation.

Written for advanced undergraduate and early postgraduate students, as well as researchers seeking an entry point into a new area of study, it provides an introductory understanding of the key concept of interpretation in qualitative and postqualitative research across disciplines while working both with and against diverse interpretative traditions. This book touches upon different roles, functions, and reconfigurations of interpretation in (post)qualitative research and in different transdisciplinary, theoretical, and geopolitical contexts. Short, creatively crafted entries connect interpretation to its historical, discursive, and methodological roots while revisioning and reconfiguring what futures and becomings of interpretation might be like.

Interpretation in Qualitative Research can be used as a main text for introduction to qualitative research courses and advanced courses focusing on interpretation or interpretive sciences. It could also be used as a supplementary textbook for qualitative and postqualitative method courses, including data collection and research design courses.

Grounded in examples from across the social sciences, this book walks you through the process of doing quantitative text analysis step by step. Clear and accessible, it empowers you to progress from beginner level to understanding and using computational social science concepts with ease. Covering key steps in the research process like ethics, data collection, and model choice, it helps you develop important research skills - and equips you with the programming tools you need to handle text data without error.

The textbook offers R software guidance at an easy-to-follow pace, the book presents the coding skills you need to collect and prepare data, providing a strong foundation as you move into data analysis. It will:

? Help you develop key data skills like cleaning, managing, classifying and visualizing data

? Encourage your ability to be critical and reflective when dealing with data

? Offer clear guidance on using messy, real-world data and big data from sources like Wikipedia

Supported by practical online resources including extensive coding examples and software guidance, this book will give you confidence in applying your programming skills and enable you to take control of handling textual data in your own research.

The ever-expanding availability of spatial data continues to revolutionise research. This book is your go-to guide to getting the most out of handling, mapping and analysing location-based data.

Without assuming prior knowledge of GIS, geocomputation or R, this book helps you understand spatial analysis and mapping and develop your programming skills, from learning about scripting and writing functions to point pattern analysis and spatial attribute analysis.

The book:

• Illustrates approaches to analysis on a range of datasets that are new to this edition.

• Enables you to put your skills into practice with embedded exercises and over 30 self-test questions.

• Showcases the possibilities of using spatial analysis to explore spatial inequalities.

Whether you're an R novice or experienced user, this book equips upper undergraduates, postgraduates and researchers with the tools needed for spatial data handling and rich analysis.

Elevate your research with the Third Edition of this classic guide. Master the "what," "how," and "why" of literature reviews and fully realise the potential of your scholarly work and evidence-based practice. By taking you on an intellectual journey, this book helps you streamline the process of searching, managing workflows and structuring different types of literature reviews. This is a totally revised and updated classic text on Literature reviewing for the AI age. It includes:

?Comprehensive explanation of the different types of review, evidence, and evaluation.

?New and more contemporary examples illustrating the many ways of conducting a literature review, including how to exploit the latest developments in AI apps.

?A "core skills" framework to help you turn your research experience into employability.

?A critical thinking focus that will not only help enhance your creativity, thinking and practical skills but also stimulate your intellectual curiosity and engagement with your research.

In combining a critical, philosophical approach with an expertly selected body of practical examples, the Third Edition of Chris Hart's landmark retains the strength of the original and successful previous editions, while helping researchers attain higher levels of knowledge and skills.

Local participation is increasingly seen as a central and ethical part of environmental research. As such, many environmental efforts are becoming increasingly participatory. Participation, as a string of literature has shown, has many political, economic, social, and epistemic consequences, and ethics is fluid, polyvalent, and contextual. 'Right is right, wrong is wrong' is dangerous rhetoric that centres western experiences and forecloses the myriad realities and relations bundled within and forced upon marginalised experiences. Both participation and ethics - as concepts and praxis - cast decades-long shadows over field research (particularly in anthropology), yet much of these discussions are left at the threshold of interdisciplinary spaces, where participation, traditional and Indigenous knowledge, and co-production are brought in to sanitise and legitimise environmental actions. Where are our lessons learned and what ought we to make of their absence? The first half of this volume offers ethnographic examples that allow us to begin to ask whether participation (in the capitalist machinery and colonial legacies of academic knowledge) is ever even ethical. The second half of the book is dedicated to anti-solutions: refusals to define problems and approaches in fixed, closed terms from which equations, calculations, and solutions can be derived.

This book provokes important new discussions about ethical participation in environmental field research by bringing to the fore the fluid nature of both ethics and participation. The volume aims to provide critical intervention for students and researchers across natural and social sciences whose fieldwork includes engagement with local communities and stakeholders, as well as conservation policymakers and practitioners who consult and work with local communities.

Introduction to Political Analysis in R is a comprehensive guide for students and researchers eager to delve into the intersection of data science, statistics, and political science. Aimed at equipping readers with the essential quantitative skills to analyze political data, the book bridges practical coding techniques in R with foundational statistical concepts, emphasizing real-world applications in politics.

The text adopts a progressive structure, beginning with the basics of R and data manipulation before advancing to more complex topics such as data visualization, spatial analysis, text analysis, and modeling. Through accessible language and engaging examples-ranging from U.S. election forecasting to global development trends-it demystifies complex analytical methods. Each chapter integrates coding exercises and real-world datasets to reinforce learning, fostering independent data analysis skills.

Designed for undergraduate political science majors, this book is also a valuable resource for anyone seeking to understand data-driven political analysis, whether for academic research, professional development, or personal curiosity.

Key features include:

• Integrates data science and statistics with a political science focus, offering hands-on coding practice using the R programming language.
• Provides real-world datasets and step-by-step exercises, enabling students to directly apply concepts to political phenomena such as gerrymandering.
• Features a progressive chapter structure, progressing from foundational data handling to advanced methods like text analysis, spatial mapping, and linear modeling.
• Emphasizes accessible coding for beginners, fostering self-sufficiency in data analysis without requiring prior statistical expertise.
• Bridges theory and application with examples that engage students' interest in politics while developing transferable analytical skills.

H. Whitt Kilburn is Associate Professor of Political Science, Grand Valley State University, Allendale, Michigan.

The human resources (HR) function for libraries can range in size and scope, depending on the size of the library. The complexities of HR today call for a guiding manual to help keep the multitude of processes fair, legal, and accurate. This book provides the level of detail for new and seasoned HR leaders to use to staff and operate their libraries with the best employees they can find. It offers legal advice from labor law attorneys, and operational steps, policies, and processes from Dr. Steve Albrecht, a longtime HR consultant for municipal government.
Even with the support of an HR Department (however large or small), all library leaders who have supervisory responsibility over their staff (hiring, firing, performance evaluation, assigning job duties) must have a working, updated knowledge of HR issues related to employing people in their branches. (And don't forget that even student interns, unpaid volunteers, and part-time employees have similar employment rights as full-time, paid employees.) This means that besides the myriad of other duties required to run a safe, efficient, useful library for the community, library leaders - from the Director, to the department heads, to the managers, to the frontline supervisors, to the PIC (Person in Charge on each work shift) - each must know what they can and cannot do when it comes to HR laws, policies, guidelines, and best practices.
This includes:
legal issues related to screening interviewing, and hiring applicants; successful on-boarding and new-employee orientation programs; coaching for improved work performance or employee behavior; mentoring employees for both promotional opportunities and succession planning; the challenges of attendance, sick leave, ADA and FMLA issues; fair and legal performance evaluations; working with employees in a union or an association; HR practices related to testing, promoting, disciplining, or terminating library employees; and keeping all employees motivated and connected, using wellness, stress management, and programs to prevent burnout or "quiet quitting." Other books for library leaders may touch on HR issues as part of a broader look at supervising employees. This book will focus on it.

The contributions in Exploring Contemporary Classification Practices analyse various aspects of classification and their importance to contemporary debates surrounding cultural heritage and information access.

Specific focus is on systems of classification, media technologies, and cultural institutions (such as libraries, archives, and museums) and how they respond to challenges, including classificatory bias, truth, neutrality, institutional tradition, and technological innovation. Raising awareness of classification practices in modern culture serves to emphasize how sorting things into categories is both an everyday accomplishment and a highly cultural and political activity with consequences for those who are classified and for those who classify. Throughout this book, 'classification' is defined as the practice and activity of systematically ordering and categorizing entities to bring structure and understanding to diverse contexts. This book addresses several timely issues both in terms of theoretical advancement and empirical diversity. The scholarly discussion on the classification and organization of knowledge has developed with digital technologies from a bibliographic paradigm into something much wider, as the need for metadata and classification has become critical for usability and legitimacy. This development has also led research on classification and knowledge organization to confront a new, post-humanist reality with not only emerging varieties of information currents in society, but also the development of new theoretical and methodological strands, such as post-colonial and intersectional perspectives, and digital humanities methodologies. In doing so, this book seeks to address critical questions for the archives, library, and museum sectors concerning the organization of information.

Exploring Contemporary Classification Practices will, therefore be of interest to academics, researchers, and practitioners with interests in library and information science, archives, cultural heritage, and digital heritage.

Refugees and displacement are defining issues of the 21st century, with over 70 million asylum seekers, refugees, and stateless individuals forced from their homes as of 2020. Every two seconds, one person is forcibly displaced due to climate change, global epidemics, and ongoing conflicts. The SAGE Encyclopedia of Refugee Studies, edited by members of The Critical Refugee Studies Collective, serves as a vital and comprehensive resource for understanding the historical, political, and cultural dimensions of displacement.

Featuring over 250 authoritative articles, this landmark reference work is organized into three key themes: law, politics, and policy; humanitarianism and humanitarian organizations; and media, culture, and storytelling. Drawing from disciplines such as migration studies, Indigenous studies, critical race studies, environmental studies, sociology, political science, law, anthropology, and the arts, this encyclopedia critically examines refugee issues in relation to imperialism, racism, patriarchy, and militarism.

Beyond academic analysis, The SAGE Encyclopedia of Refugee Studies centers refugee voices through narratives, first-person accounts, and visual storytelling, highlighting the lived experiences, communities, and creative expressions of displaced individuals. This essential resource is invaluable for scholars, educators, policymakers, community-based organizations, and refugees themselves.

Cross-cultural comparison is gaining increasing importance in the context of globalization and the internationalization of many areas of lifeThe aim of this volume is to provide a concise and practical introduction to the methods of cross-cultural research. In particular, the possibilities and limitations of cross-cultural survey research are addressed. The book offers a solid foundation for a critical approach to cross-cultural studies, but it also imparts basic knowledge for conducting one's own cross-cultural research.

This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasizing network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. The book aims to present challenges and innovative solutions in community structure detection, incorporating diversity into problem-solving. Furthermore, it explores the applications of identified community structures within network analysis, offering insights into social network dynamics.

• Investigates the practical applications and uses of community structures identified from network analysis across various domains of real-world networks
• Highlights the challenges encountered in analyzing community structures and presents state-of-the-art approaches designed to address these challenges
• Spans into various domains like business intelligence, marketing, and epidemics, examining influential node detection and crime within social networks
• Explores methodologies for evaluating the quality and accuracy of community detection models
• Examines a diverse range of challenges and offers innovative solutions in the field of detecting community structures from social networks

The book is a ready reference for researchers and scholars of Computer Science and Computational Social Systems working in the area of Community Structure Analysis from Social Network Data.

Social Network Analysis and Text Mining for Big Data presents cutting-edge methods and tools that bridge the gap between text mining and social network analysis research while also providing new insights for analyzing (big) textual and network data. These tools are designed to cater to the needs of both business analysts and researchers to facilitate the creation of groundbreaking analytics.

Beginning with clear definitions of social network analysis and text mining, this book benefits from a thoughtfully curated selection of methods and tools, drawn from the authors' extensive research in the field. The focus then shifts to demonstrate how the interplay between words and networks can unlock the full potential of big data analytics. A centerpiece of the book is the Semantic Brand Score (SBS), a versatile and powerful metric for assessing brand importance through text analysis. All of the above is corroborated and illustrated with practical applications and case studies showing the value of these analytics in supporting change and improved managerial decisions. It also introduces a specialized software tool which enables users to perform the analyses detailed in the text.

This book is a must-read for business leaders, marketing professionals, policymakers, researchers, and university students. It offers practical insights and actionable advice for achieving increased performance of companies and societal actions. The writing is tailored to make complex concepts accessible to both experienced researchers and readers who are new to the field.