Explores the relationship between social characteristics of scientists and the interpersonal sharing of technological knowledge. The findings illuminate attributes of reputation conducive to the voluntary transfer of timely, relevant, technological knowle
Knowledge Sharing among Scientists:Why Reputation Matters for R&D in Multinational Firms P. Ensign
Knowledge Sharing among Scientists:Why Reputation Matters for R&D in Multinational Firms. 1st ed. 2009 Prescott C. Ensign, Melissa M. Appleyard
Explores the relationship between social characteristics of scientists and the interpersonal sharing of technological knowledge. The findings illuminate attributes of reputation conducive to the voluntary transfer of timely, relevant, technological knowledge among individual R&D scientists in the same multidivisional, multinational firm.
Knowledge Sharing among Scientists ab 93.49 EURO Why Reputation Matters for R&D in Multinational Firms. 1st ed. 2009
Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects. Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineering Explains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfalls Provides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge research Addresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data Tim Menzies is a professor in computer science (WVU) and a former software research chair at NASA. He has published 200+ refereed articles, many in the area on data mining and SE. His research includes artificial intelligence, data mining and search-based software engineering. He is best known for his work on the PROMISE open source repository of data for reusable software engineering experiments.
This book advises and supports novice researchers in taking their first steps into the world of scientific research. Through practical tips and tricks presented in a clear, concise and step-wise manner, the book describes the entire research process from idea to publication. It also gives the reader insight into the vast opportunities a research career can provide. The books target demographic is aspiring researchers within the biomedical professions, be it medical students, young doctors, nurses, engineers, physiotherapists etc. The book will help aspirational inexperienced researchers turn their intentions into actions, providing crucial guidance for successful entry into the field of biomedical research. Peter Agger MD PhD is an assistant professor pursuing a senior research career within congenital heart disease. In parallel he is in clinical training to become a paediatrician. He is co-author on numerous peer reviewed papers and he is an experienced teacher and supervisor for young researchers and medical doctors. Robert S. Stephenson BSc PhD is a Marie Sk?odowska-Curie fellow and a full time researcher within the field of functional cardiac anatomy. He has published several peer reviewed papers including ground-breaking work on the cardiac conduction system. He has been affiliated with several universities across the globe and is an experienced teacher. J. Michael Hasenkam MD DMSc is a professor of experimental cardiac surgery and has been a full-time researcher for 25 years. He has published more than 250 peer reviewed papers and contributed to 3 books and has extensive experience in teaching and supervising young researchers. For three years he was the vice-dean of the Faculty of Health, Aarhus University, focusing on sharing of knowledge including collaborations between the university and the private sector.
To go through the pages of the Autobiography of Mario Bunge is to accompany him through dozens of countries and examine the intellectual, political, philosophical and scientific spheres of the last hundred years. It is an experience that oscillates between two different worlds: the different and the similar, the professional and the personal. It is an established fact that one of his great loves was, and still is, science. He has always been dedicated to scientific work, teaching, research, and training men and women in multiple disciplines. Life lessons fall like ripe fruit from this book, bringing us closer to a concept, a philosophical idea, a scientific digression, which had since been uncovered in numerous notes, articles or books. Bunge writes about the life experiences in this book with passion, naturalness and with a colloquial frankness, whether they be persecutions, banishment, imprisonment, successes, would-be losses, emotions, relationships, debates, impressions or opinions about people or things. In his pages we pass by the people with whom he shared a fruitful century of achievements and incredible depths of thought. Everything is remembered with sincerity and humor. This autobiography is, in truth, Bunge on Bunge, sharing everything that passes through the sieve of his memory, as he would say. Marios many grandchildren are a testament to his proud standing as a family man, and at the age of 96 he gives us a book for everyone: for those who value the memories that hold the trauma of his life as well as for those who share his passion for science and culture. Also, perhaps, for some with whom he has had disagreements or controversy, for he still deserves recognition for being a staunch defender of his convictions. Mario Bunge is a renowned and celebrated academic and philosopher. He is originally from Argentina, but has been active in Canada since the mid 1960s. At 95 years of age, he has a PhD in physico-mathematical sciences,, sixteen honorary doctorates and four honorary professorships. His current researches revolves around philosophy of the social sciences, philosophy of mind, and metaphysics.
This book explores the opportunities and challenges of the sharing economy and innovative transportation technologies with regard to urban mobility. Written by government experts, social scientists, technologists and city planners from North America, Europe and Australia, the papers in this book address the impacts of demographic, societal and economic trends and the fundamental changes arising from the increasing automation and connectivity of vehicles, smart communication technologies, multimodal transit services, and urban design. The book is based on the Disrupting Mobility Summit held in Cambridge, MA (USA) in November 2015, organized by the City Science Initiative at MIT Media Lab, the Transportation Sustainability Research Center at the University of California at Berkeley, the LSE Cities at the London School of Economics and Politics and the Innovation Center for Mobility and Societal Change in Berlin.
Python Forensics provides many never-before-published proven forensic modules, libraries, and solutions that can be used right out of the box. In addition, detailed instruction and documentation provided with the code samples will allow even novice Python programmers to add their own unique twists or use the models presented to build new solutions. Rapid development of new cybercrime investigation tools is an essential ingredient in virtually every case and environment. Whether you are performing post-mortem investigation, executing live triage, extracting evidence from mobile devices or cloud services, or you are collecting and processing evidence from a network, Python forensic implementations can fill in the gaps. Drawing upon years of practical experience and using numerous examples and illustrative code samples, author Chet Hosmer discusses how to: Develop new forensic solutions independent of large vendor software release schedules Participate in an open-source workbench that facilitates direct involvement in the design and implementation of new methods that augment or replace existing tools Advance your career by creating new solutions along with the construction of cutting-edge automation solutions to solve old problems Provides hands-on tools, code samples, and detailed instruction and documentation that can be put to use immediately Discusses how to create a Python forensics workbench Covers effective forensic searching and indexing using Python Shows how to use Python to examine mobile device operating systems: iOS, Android, and Windows 8 Presents complete coverage of how to use Python scripts for network investigation Chet Hosmer is the Chief Scientist & Sr. Vice President at Allen Corporation and a co-founder of WetStone Technologies, Inc. Chet has been researching and developing technology and training for the digital forensic market for almost two decades. He has also been a frequent contributor to technical and news stories relating to digital investigation and has been interviewed and quoted by IEEE, The New York Times, The Washington Post, Government Computer News, Salon.com and Wired Magazine. Chet also serves as a visiting professor at Utica College where he teaches in the Cybersecurity Graduate program. Chet delivers keynote and plenary talks on various cyber security related topics around the world each year.