Data Science And Interdisciplinary Research
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| Author | : Institute of Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 332 |
| Release | : 2005-04-04 |
| Genre | : Science |
| ISBN | : 0309165482 |
Facilitating Interdisciplinary Research examines current interdisciplinary research efforts and recommends ways to stimulate and support such research. Advances in science and engineering increasingly require the collaboration of scholars from various fields. This shift is driven by the need to address complex problems that cut across traditional disciplines, and the capacity of new technologies to both transform existing disciplines and generate new ones. At the same time, however, interdisciplinary research can be impeded by policies on hiring, promotion, tenure, proposal review, and resource allocation that favor traditional disciplines. This report identifies steps that researchers, teachers, students, institutions, funding organizations, and disciplinary societies can take to more effectively conduct, facilitate, and evaluate interdisciplinary research programs and projects. Throughout the report key concepts are illustrated with case studies and results of the committee's surveys of individual researchers and university provosts.
| Author | : Tofael Ahamed |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2017 |
| Genre | : Agriculture |
| ISBN | : 9781536123944 |
This book provides a sound understanding for creating new knowledge, which takes three main forms: Exploratory research, which structures and identifies new problems; constructive research, which develops solutions to a problem; and empirical research, which tests the feasibility of a solution using empirical evidence. This book encompasses both qualitative and quantitative research and analysis. The reader should gain an understanding of the skills needed to design and undertake a research project, including legal and ethical requirements in planning research projects, choosing the best experimental design and analytical methods, and how to present data for extension to the wider community and establish the knowledge. Hands-on exercises are provided to improve reasoning skills, emphasising agricultural problems and issues to solve and interpret the experimental data to knowledge. The book covers research methods within these three forms with basic knowledge of research methodology. Design of experiments and significant results are interpreted through the scientific organisation and information in each of the chapters. The inherent discussion should help interdisciplinary graduate students and researchers accomplish their scientific experiments and write research articles. The cognitive writing style to interpret the observed data from experiments and surveys is emphasised in this book. The cognitive summary for each of the chapters is provided in the form of wording and graphics to focus on the chapter highlights as well as the use of analytical tools in the research. The utmost care is taken to present a varied range of research problems along with their solutions in agriculture and its allied fields, which should be of immense use to the readers interested in this topic.
| Author | : Celia Lury |
| Publisher | : Routledge |
| Total Pages | : 459 |
| Release | : 2018-07-06 |
| Genre | : Social Science |
| ISBN | : 131750125X |
The landscape of contemporary research is characterized by growing interdisciplinarity, and disciplinary boundaries are blurring faster than ever. Yet while interdisciplinary methods, and methodological innovation in general, are often presented as the ‘holy grail’ of research, there are few examples or discussions of their development and ‘behaviour’ in the field. This Routledge Handbook of Interdisciplinary Research presents a bold intervention by showcasing a diversity of stimulating approaches. Over 50 experienced researchers illustrate the challenges, but also the rewards of doing and representing interdisciplinary research through their own methodological developments. Featured projects cover a variety of scales and topics, from small art-science collaborations to the ‘big data’ of mass observations. Each section is dedicated to an aspect of data handling, from collection, classification, validation to communication to research audiences. Most importantly, Interdisciplinary Methods presents a distinctive approach through its focus on knowledge as process, defamiliarising and reworking familiar practices such as experimenting, archiving, observing, prototyping or translating.
| Author | : Brojo Kishore Mishra |
| Publisher | : Bentham Science Publishers |
| Total Pages | : 260 |
| Release | : 2023-09-27 |
| Genre | : Computers |
| ISBN | : 9815079018 |
Data Science and Interdisciplinary Research: Recent Trends and Applications is a compelling edited volume that offers a comprehensive exploration of the latest advancements in data science and interdisciplinary research. Through a collection of 10 insightful chapters, this book showcases diverse models of machine learning, communications, signal processing, and data analysis, illustrating their relevance in various fields. Key Themes: Advanced Rainfall Prediction: Presents a machine learning model designed to tackle the challenging task of predicting rainfall across multiple countries, showcasing its potential to enhance weather forecasting. Efficient Cloud Data Clustering: Explains a novel computational approach for clustering large-scale cloud data, addressing the scalability of cloud computing and data analysis. Secure In-Vehicle Communication: Explores the critical topic of secure communication in in-vehicle networks, emphasizing message authentication and data integrity. Smart Irrigation 4.0: Details a decision model designed for smart irrigation, integrating agricultural sensor data reliability analysis to optimize water usage in precision agriculture. Smart Electricity Monitoring: Highlights machine learning-based smart electricity monitoring and fault detection systems, contributing to the development of smart cities. Enhanced Learning Environments: Investigates the effectiveness of mobile learning in higher education, shedding light on the role of technology in shaping modern learning environments. Coastal Socio-Economy Study: Presents a case study on the socio-economic conditions of coastal fishing communities, offering insights into the livelihoods and challenges they face. Signal Noise Removal: Shows filtering techniques for removing noise from ECG signals, enhancing the accuracy of medical data analysis and diagnosis. Deep Learning in Biomedical Research: Explores deep learning techniques for biomedical research, particularly in the realm of gene identification using Next Generation Sequencing (NGS) data. Medical Diagnosis through Machine Learning: Concludes with a chapter on breast cancer detection using machine learning concepts, demonstrating the potential of AI-driven diagnostics.
| Author | : C.L. Palmer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 178 |
| Release | : 2013-06-29 |
| Genre | : Computers |
| ISBN | : 9401598436 |
Interdisciplinary inquiry has become more pervasive in recent decades, yet we still know little about the conduct of this type of research or the information problems associated with it. This book is one of few empirical studies of interdisciplinary knowledge practices. It examines how interdisciplinary scientists discover and exchange information and knowledge, highlighting how the boundaries between disciplines affect how information is used and how knowledge is constructed. It is written for scholars and practitioners with an interest in developing information systems and research environments to foster innovative scientific work. Target groups include researchers in information science, science studies, communication, as well as research administrators and information professionals.
| Author | : Roman Egger |
| Publisher | : Springer Nature |
| Total Pages | : 647 |
| Release | : 2022-01-31 |
| Genre | : Business & Economics |
| ISBN | : 3030883892 |
Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same time shaking the epistemological foundations and requiring new methods and analysis approaches. It allows for interdisciplinary cooperation between computer sciences and social and economic sciences, and complements the traditional research approaches. This book provides a broad basis for the practical application of data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential for interdisciplinary tourism research. Each method is presented in principle, viewed analytically, and its advantages and disadvantages are weighed up and typical fields of application are presented. The correct methodical application is presented with a "how-to" approach, together with code examples, allowing a wider reader base including researchers, practitioners, and students entering the field. The book is a very well-structured introduction to data science – not only in tourism – and its methodological foundations, accompanied by well-chosen practical cases. It underlines an important insight: data are only representations of reality, you need methodological skills and domain background to derive knowledge from them - Hannes Werthner, Vienna University of Technology Roman Egger has accomplished a difficult but necessary task: make clear how data science can practically support and foster travel and tourism research and applications. The book offers a well-taught collection of chapters giving a comprehensive and deep account of AI and data science for tourism - Francesco Ricci, Free University of Bozen-Bolzano This well-structured and easy-to-read book provides a comprehensive overview of data science in tourism. It contributes largely to the methodological repository beyond traditional methods. - Rob Law, University of Macau
| Author | : Allen F. Repko |
| Publisher | : SAGE |
| Total Pages | : 417 |
| Release | : 2008-05-29 |
| Genre | : Education |
| ISBN | : 1412959152 |
Introduction to Interdisciplinary Research offers comprehensive treatment of the interdisciplinary research process commonly used by interdisciplinarians. The concise and guided resource on the most commonly accepted interdisciplinary studies principles as applied to the research process covers topics such as: deciding how to choose disciplines relevant to the problem or topi; dealing with disciplinary and ideological bias; making explicit the rationale for taking an interdisciplinary approach, and choosing research methods appropriate to the problem or topic.
| Author | : Allen F. Repko |
| Publisher | : SAGE Publications |
| Total Pages | : 369 |
| Release | : 2011-02-07 |
| Genre | : Social Science |
| ISBN | : 1452224005 |
Case Studies in Interdisciplinary Research successfully applies the model of the interdisciplinary research process outlined by author Allen F. Repko in Interdisciplinary Research, (SAGE ©2008) to a wide spectrum of challenging research questions. Self-contained case studies, written by leaders in interdisciplinary research, and utilizing best-practice techniques in conducting interdisciplinary research shows students how to apply the interdisciplinary research process to a variety of problems.
| Author | : Institute of Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 144 |
| Release | : 2000-09-24 |
| Genre | : Medical |
| ISBN | : 0309070783 |
Interdisciplinary research is a cooperative effort by a team of investigators, each an expert in the use of different methods and concepts, who have joined in an organized program to attack a challenging problem. Each investigator is responsible for the research in their area of discipline that applies to the problem, but together the investigators are responsible for the final product. The need for interdisciplinary training activities has been detailed over the last 25 years in both public and private reports. The history of science and technology has even shown the important advances that arose from interdisciplinary research, including plate tectonics which brought together geologists, oceanographers, paleomagnetists, seismologists, and geophysicists to advance the ability to forecast earthquakes and volcanic eruptions. In recognition of this, the need to train scientists who can address the highly complex problems that challenge us today and fully use new knowledge and technology, and the fact that cooperative efforts have proved difficult, the National Institute of Mental Health (NIMH), the National Institutes of Health (NIH) Office of Behavioral and Social Sciences Research (OBSSR), the National Institute on Nursing Research (NINR), and the National Institute on Aging (NIA) requested that an Institute of Medicine (IOM) Committee be created to complete several tasks including: examining the needs and strategies for interdisciplinary training in the brain, behavioral, social, and clinical sciences, defining necessary components of true interdisciplinary training in these areas, and reviewing current educational and training programs to identify elements of model programs that best facilitate interdisciplinary training. Bridging Disciplines in the Brain, Behavioral, and Clinical Sciences provides the conclusions and recommendations of this committee. Due to evaluations of the success of interdisciplinary training programs are scarce, the committee could not specify the "necessary components" or identify the elements that "best facilitate" interdisciplinary training. However, after reviewing existing programs and consulting with experts, the committee identified approaches likely to be successful in providing direction for interdisciplinary endeavors at various career stages. This report also includes interviews, training programs, and workshop agendas used.
| Author | : Allen F. Repko |
| Publisher | : SAGE Publications |
| Total Pages | : 586 |
| Release | : 2016-10-12 |
| Genre | : Social Science |
| ISBN | : 150634691X |
The Second Edition provides a comprehensive introduction to interdisciplinary studies with an approach that is succinct, conceptual, and practical. Completely updated to reflect advances in the literature on research, learning, and assessment, the book describes the role of both disciplines and interdisciplinarity within the academy, and how these have evolved. Authors Allen F. Repko, Rick Szostak, and Michelle Phillips Buchberger effectively show students how to think like interdisciplinarians in order to facilitate their working with topics, complex problems, or themes that span multiple disciplines.
