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Author: Biljana Adebambo Publisher: ISBN: Category : Languages : en Pages : 61
Book Description
Using a novel dataset containing the forecasts of both buy-side and sell-side analysts, and individual investors, we find that crowdsourced earnings forecasts are more accurate than expert forecasts of sell-side analysts. Examining the economic mechanisms that generate superior crowd forecasts, we find that the diversity of contributors and their geographical proximity to firm locations improve forecast accuracy. The crowdsourced consensus is a better measure of the market's true earnings expectations as earnings surprise based on this consensus generates stronger market reactions. A trading strategy based on the difference between the two consensus estimates yields an abnormal 10-day return of 0.465-1.975%.
Author: Biljana Adebambo Publisher: ISBN: Category : Languages : en Pages : 61
Book Description
Using a novel dataset containing the forecasts of both buy-side and sell-side analysts, and individual investors, we find that crowdsourced earnings forecasts are more accurate than expert forecasts of sell-side analysts. Examining the economic mechanisms that generate superior crowd forecasts, we find that the diversity of contributors and their geographical proximity to firm locations improve forecast accuracy. The crowdsourced consensus is a better measure of the market's true earnings expectations as earnings surprise based on this consensus generates stronger market reactions. A trading strategy based on the difference between the two consensus estimates yields an abnormal 10-day return of 0.465-1.975%.
Author: Jeff Howe Publisher: Crown Currency ISBN: 0307449327 Category : Business & Economics Languages : en Pages : 322
Book Description
“The amount of knowledge and talent dispersed among the human race has always outstripped our capacity to harness it. Crowdsourcing corrects that—but in doing so, it also unleashes the forces of creative destruction.” —From Crowdsourcing First identified by journalist Jeff Howe in a June 2006 Wired article, “crowdsourcing” describes the process by which the power of the many can be leveraged to accomplish feats that were once the province of the specialized few. Howe reveals that the crowd is more than wise—it’s talented, creative, and stunningly productive. Crowdsourcing activates the transformative power of today’s technology, liberating the latent potential within us all. It’s a perfect meritocracy, where age, gender, race, education, and job history no longer matter; the quality of work is all that counts; and every field is open to people of every imaginable background. If you can perform the service, design the product, or solve the problem, you’ve got the job. But crowdsourcing has also triggered a dramatic shift in the way work is organized, talent is employed, research is conducted, and products are made and marketed. As the crowd comes to supplant traditional forms of labor, pain and disruption are inevitable. Jeff Howe delves into both the positive and negative consequences of this intriguing phenomenon. Through extensive reporting from the front lines of this revolution, he employs a brilliant array of stories to look at the economic, cultural, business, and political implications of crowdsourcing. How were a bunch of part-time dabblers in finance able to help an investment company consistently beat the market? Why does Procter & Gamble repeatedly call on enthusiastic amateurs to solve scientific and technical challenges? How can companies as diverse as iStockphoto and Threadless employ just a handful of people, yet generate millions of dollars in revenue every year? The answers lie within these pages. The blueprint for crowdsourcing originated from a handful of computer programmers who showed that a community of like-minded peers could create better products than a corporate behemoth like Microsoft. Jeff Howe tracks the amazing migration of this new model of production, showing the potential of the Internet to create human networks that can divvy up and make quick work of otherwise overwhelming tasks. One of the most intriguing ideas of Crowdsourcing is that the knowledge to solve intractable problems—a cure for cancer, for instance—may already exist within the warp and weave of this infinite and, as yet, largely untapped resource. But first, Howe proposes, we need to banish preconceived notions of how such problems are solved. The very concept of crowdsourcing stands at odds with centuries of practice. Yet, for the digital natives soon to enter the workforce, the technologies and principles behind crowdsourcing are perfectly intuitive. This generation collaborates, shares, remixes, and creates with a fluency and ease the rest of us can hardly understand. Crowdsourcing, just now starting to emerge, will in a short time simply be the way things are done.
Author: Louis E. Boone Publisher: John Wiley & Sons ISBN: 1119905818 Category : Languages : en Pages : 658
Book Description
Enable students to evaluate and provide solutions to today's global business challenges and thrive in today's fast-paced business environment. Rooted in the basics of business, Contemporary Business, 4th Canadian Edition provides students a foundation upon which to build a greater understanding of current business practices and issues that affect their lives. Written with attention toward global technology trends, and Environmental, Social, and Governance (ESG), Contemporary Business, 4th Canadian Edition encourages learners to grow and leverage intercultural aptitude, real-world problem-solving, and data analytics skills.
Author: Adam Marcus Publisher: ISBN: 9781680830903 Category : Computers Languages : en Pages : 186
Book Description
Crowdsourced Data Management: Industry and Academic Perspectives aims to narrow the gap between academics and practitioners in this burgeoning field. It simultaneously introduces academics to real problems that practitioners encounter every day, and provides a survey of the state of the art for practitioners to incorporate into their designs.
Author: Artemis Skarlatidou Publisher: UCL Press ISBN: 1787356124 Category : Science Languages : en Pages : 400
Book Description
Little did Isaac Newton, Charles Darwin and other ‘gentlemen scientists’ know, when they were making their scientific discoveries, that some centuries later they would inspire a new field of scientific practice and innovation, called citizen science. The current growth and availability of citizen science projects and relevant applications to support citizen involvement is massive; every citizen has an opportunity to become a scientist and contribute to a scientific discipline, without having any professional qualifications. With geographic interfaces being the common approach to support collection, analysis and dissemination of data contributed by participants, ‘geographic citizen science’ is being approached from different angles. Geographic Citizen Science Design takes an anthropological and Human-Computer Interaction (HCI) stance to provide the theoretical and methodological foundations to support the design, development and evaluation of citizen science projects and their user-friendly applications. Through a careful selection of case studies in the urban and non-urban contexts of the Global North and South, the chapters provide insights into the design and interaction barriers, as well as on the lessons learned from the engagement of a diverse set of participants; for example, literate and non-literate people with a range of technical skills, and with different cultural backgrounds. Looking at the field through the lenses of specific case studies, the book captures the current state of the art in research and development of geographic citizen science and provides critical insight to inform technological innovation and future research in this area.
Author: Guoliang Li Publisher: Springer ISBN: 9811078475 Category : Computers Languages : en Pages : 169
Book Description
This book provides an overview of crowdsourced data management. Covering all aspects including the workflow, algorithms and research potential, it particularly focuses on the latest techniques and recent advances. The authors identify three key aspects in determining the performance of crowdsourced data management: quality control, cost control and latency control. By surveying and synthesizing a wide spectrum of studies on crowdsourced data management, the book outlines important factors that need to be considered to improve crowdsourced data management. It also introduces a practical crowdsourced-database-system design and presents a number of crowdsourced operators. Self-contained and covering theory, algorithms, techniques and applications, it is a valuable reference resource for researchers and students new to crowdsourced data management with a basic knowledge of data structures and databases.
Author: Steven S. Skiena Publisher: Springer ISBN: 3319554441 Category : Computers Languages : en Pages : 456
Book Description
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
Author: Calazans Campelo, Cláudio Elízio Publisher: IGI Global ISBN: 1522524479 Category : Technology & Engineering Languages : en Pages : 380
Book Description
Geographic data is a valuable source of information in modern society. By utilizing alternative sources of this data, the availability and potential applications of geographic information systems can be increased. Volunteered Geographic Information and the Future of Geospatial Data is a pivotal reference source for the latest scholarly research on information gathering from volunteers, as opposed to official agencies and private companies, to compile geospatial data. Highlighting a range of pertinent topics such as regional landscape mapping, road safety, and land usage, this book is ideally designed for researchers, academics, students, professionals, and practitioners interested in the growing area of volunteered geographic information.
Author: Catherine D'Ignazio Publisher: MIT Press ISBN: 0262358530 Category : Social Science Languages : en Pages : 328
Book Description
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.
Author: Biljana Adebambo
Author: Biljana Adebambo
Author: Jeff Howe
Author: Louis E. Boone
Author: Adam Marcus
Author: Artemis Skarlatidou
Author: Guoliang Li
Author: Steven S. Skiena
Author: Calazans Campelo, Cláudio Elízio
Author: Catherine D'Ignazio
Author: Michael Edward Shin