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Research in computing requires more than just understanding methodology, it demands practical skills in formulating questions, designing studies, analyzing data, and communicating findings. This book guides you through the complete research process using scaffolded, AI-assisted activities that have been classroom-tested with over 100 research students. Each chapter addresses a core competency: discovering your research interests, developing rigorous research questions, designing robust studies, conducting data analysis, practicing peer review, and mastering technical communication. You will learn to leverage AI as a tool throughout the research process while developing the critical thinking essential to quality scholarship. The pedagogical approach emphasizes active learning through structured activities with step-by-step guidance, making the book an indispensable resource for undergraduate and graduate research methods courses, as well as for independent study by computing professionals entering research.
Spanning the full AI Ph.D. journey, this practical guide offers clear, realistic, and action oriented advice for success. Designed as an end-to-end guide, the book leads readers from finding a research problem to experimentation, writing, conferences, and the final defense. Readers learn how to partner effectively with advisors, run productive meetings, and navigate review and rejection with confidence. The book provides guidance on responsible AI research and using LLMs effectively while safeguarding scientific integrity. The final stages of the PhD receive explicit focus, with advice on shaping publications into a coherent dissertation, preparing for the defense, and responding to examiners. This guide extends beyond graduation, exploring career paths in academia, industry, and the public sector while emphasizing transferable skills and strategic decisions. Ideal for Ph.D. students in AI and machine learning, as well as those considering starting a PhD, this book provides actionable advice that clarifies next steps and accelerates progress.
Einstein's theory of relativity, the butterfly effect, deep learning, game theory. If you've heard these buzzwords but are a bit fuzzy on the details, then this book is for you. Professor Lev Reyzin will take you on a fascinating whirlwind tour of the science behind these concepts, answering your burning questions about Pangea, DNA, and what exactly is quantum computing. Using clear language and emphasizing big ideas over technical details, this book shows that science can be enjoyed by everyone. Each chapter explores a different foundational scientific idea, ending with a brief history of the topic, further reading, and more technical details for the mathematically inclined reader. Much of science is developed through curiosity about the world around us, and this book will help feed that curiosity in you.
Women working in physics navigate unique challenges that your male colleagues rarely have to consider. This practical, research-based guide will help you tackle the various issues you are likely to encounter during your education and career in academia or industry. With each chapter focusing on a specific problem, the guidance is presented in a question-and-answer format that allows you to navigate directly to the advice you need. Chapters address a broad range of challenges, from thriving as a student and interviewing for jobs to improving self-confidence and timing maternity leave. Focus is placed on immediate and practical advice with the intention of constructing a positive framework that helps you improve your circumstances in an imperfect environment. Enriched with advice and stories from a group of women physicists with diverse experiences, the book provides you with the necessary tools and support for continuing your journey with confidence.
Chapter 9 focuses on using the CERIC method to compare two research articles. This chapter first motivates this practice as an essential activity in placing research in context and understanding the broader scope of a research area. It then discusses how one finds similar papers for comparison, emphasizing references, citations, and “similar paper” searches to select suitable articles for comparison. This chapter then delves into using the CERIC elements to conduct a detailed comparative analysis across texts, highlighting case studies to demonstrate this approach. This chapter describes methods of visually comparing CERIC elements to aid in interpreting commonalities and differences. It guides readers through turning the original CERIC reviews and comparisons into a coherent summary illustrated with practical examples.
Chapter 6 focuses on the CERIC element of Implications, providing a framework for understanding Implications in research articles. It highlights their role as indicators of future work and guides for expanding scientific inquiry. This chapter begins by defining Implications and how they manifest in different research areas. It also explores the common types of Implications, indicating incompleteness in the present work, pointing toward future validation studies, and suggesting future research directions. This chapter discusses how today’s implications often become tomorrow’s research questions, underscoring their importance in driving the progression toward new knowledge generation. This chapter distinguishes between Implications, Claims, and Context in research articles, providing comparative analysis and techniques for differentiation.
Chapter 12 extends the material from Chapters 8 to 10 to the production of an efficient literature review, including transitioning from critical reading and analysis to writing, curating an ecosystem of references, mapping the literature review process, and ultimately transforming a literature review into the introduction of a research paper. This chapter begins by outlining the transition from paper analysis to writing synthesis, highlighting techniques for integrating CERIC findings into coherent written work. It explores how CERIC can be applied in crafting annotated bibliographies and comprehensive literature reviews, detailing methods for finding and organizing relevant research using CERIC reviews and keywords. This chapter also introduces strategies for mapping the literature review ecosystem, which aids in identifying connections and gaps in existing research. Advanced techniques discussed include writing reviews in plain language, effective paraphrasing, and other strategies for the ethical construction of literature reviews.
Chapter 2 describes the historical development of modern scientific argumentation in the Toulmin et al. (1984) model. It describes the model’s strengths and weaknesses, leading to an overview of traditional and evidence-based reading strategies. Next, this chapter introduces the CERIC Method, an evidence-based form of categorical reading that allows readers to break down a research article into its five main components of argumentation: Claim, Evidence, Reasoning, Implications, and Context. It explores the potential benefits of enhancing reading comprehension of research articles by providing a structured approach to engaging with and analyzing research literature.
Chapter 11 shows how to use the CERIC framework to design and deliver compelling presentations of scientific research. It introduces the modified CCERI structure – Context, Claim, Evidence, Reasoning, and Implications – as a flexible guide for organizing talks and presentations in classrooms, journal clubs, lab meetings, and seminars. This chapter provides guidance on how to choose and present figures, explain reasoning clearly, and incorporate critique and comparison into the flow of a presentation. It provides strategies for maintaining clarity and engaging audiences across disciplines. It also explores collaborative formats, including live CERIC reviews, seminar prep sessions, and group discussions, showing how these activities build scientific literacy and foster active learning. Finally, it offers practical ways to gamify research discussions, making critical analysis fun, rigorous, and rewarding.
Chapter 13 extends the use of CERIC to include peer-based discussion and social collaborative annotation (SCA), aiming to enhance critical reading, peer engagement, and interdisciplinary learning. This chapter begins by discussing the unique benefits of SCA as a pedagogical tool, highlighting how it fosters active learning, structured discourse, and collective meaning-making in academic settings. It then provides an in-depth examination of digital tools for SCA, offering guidance on selecting platforms that align with instructional goals, accessibility needs, and institutional infrastructure. This chapter also presents best practices for incorporating CERIC into SCA discussion groups, demonstrating how structured annotation frameworks improve analytical skills, reading comprehension, and peer collaboration. Specific strategies – such as role-based annotation, color-coded highlights, and guided discussions – are outlined to help instructors maximize the impact of SCA on student learning outcomes. Finally, this chapter examines a real-world case study of a four-week doctoral course on interdisciplinary science policy research to illustrate the effectiveness of CERIC + SCA in fostering deeper engagement with primary literature.
Chapter 10 synthesizes the insights gained from Chapters 2 through 8 and focuses on the practical use of the CERIC method for critiquing research articles. This chapter starts by discussing the importance and process of peer review, emphasizing that not all published articles are inherently good, and revisiting some of the major types of missing information or errors in papers related to individual CERIC elements. Building on the foundation in Chapter 8, it examines how a CERIC review can build toward assessing the quality and effectiveness of a research paper’s central argument through its elements. This chapter guides readers on applying the CERIC method in peer reviewing research articles, providing a practical approach to critically assess a paper’s validity, coherence, and unique contribution.
Chapter 3 focuses on the essential element of research articles, the Claim, a declarative response to a research question signifying new knowledge. Claims are plain language, concise statements supported by evidence and reasoning, which makes them distinct from assumptions or opinions. The Claim is often located in the title, the abstract, and the conclusion section. Depending on the nature of the study, there are different types of Claims and differences between primary Claim(s), sub-claims, and findings that can evolve with the research field. This chapter provides several examples to illustrate how to establish the Claim in research papers across disciplines.