Crowdsourced Data Management

Crowdsourced Data Management PDF

Author: Guoliang Li

Publisher: Springer

Published: 2018-10-12

Total Pages: 159

ISBN-13: 9811078475

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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.

Crowdsourced Data Management

Crowdsourced Data Management PDF

Author: Guoliang Li

Publisher:

Published: 2018

Total Pages:

ISBN-13: 9789811078484

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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.

Crowdsourced Data Management

Crowdsourced Data Management PDF

Author: Adam Marcus

Publisher:

Published: 2015-11-18

Total Pages: 186

ISBN-13: 9781680830903

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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.

Crowdsourcing: Concepts, Methodologies, Tools, and Applications

Crowdsourcing: Concepts, Methodologies, Tools, and Applications PDF

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2019-05-03

Total Pages: 1677

ISBN-13: 1522583637

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With the growth of information technology, many new communication channels and platforms have emerged. This growth has advanced the work of crowdsourcing, allowing individuals and companies in various industries to coordinate efforts on different levels and in different areas. Providing new and unique sources of knowledge outside organizations enables innovation and shapes competitive advantage. Crowdsourcing: Concepts, Methodologies, Tools, and Applications is a collection of innovative research on the methods and applications of crowdsourcing in business operations and management, science, healthcare, education, and politics. Highlighting a range of topics such as crowd computing, macrotasking, and observational crowdsourcing, this multi-volume book is ideally designed for business executives, professionals, policymakers, academicians, and researchers interested in all aspects of crowdsourcing.

Natural Language Data Management and Interfaces

Natural Language Data Management and Interfaces PDF

Author: Yunyao Li

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 136

ISBN-13: 3031018621

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The volume of natural language text data has been rapidly increasing over the past two decades, due to factors such as the growth of the Web, the low cost associated with publishing, and the progress on the digitization of printed texts. This growth combined with the proliferation of natural language systems for search and retrieving information provides tremendous opportunities for studying some of the areas where database systems and natural language processing systems overlap. This book explores two interrelated and important areas of overlap: (1) managing natural language data and (2) developing natural language interfaces to databases. It presents relevant concepts and research questions, state-of-the-art methods, related systems, and research opportunities and challenges covering both areas. Relevant topics discussed on natural language data management include data models, data sources, queries, storage and indexing, and transforming natural language text. Under natural language interfaces, it presents the anatomy of these interfaces to databases, the challenges related to query understanding and query translation, and relevant aspects of user interactions. Each of the challenges is covered in a systematic way: first starting with a quick overview of the topics, followed by a comprehensive view of recent techniques that have been proposed to address the challenge along with illustrative examples. It also reviews some notable systems in details in terms of how they address different challenges and their contributions. Finally, it discusses open challenges and opportunities for natural language management and interfaces. The goal of this book is to provide an introduction to the methods, problems, and solutions that are used in managing natural language data and building natural language interfaces to databases. It serves as a starting point for readers who are interested in pursuing additional work on these exciting topics in both academic and industrial environments.

The Crowdsourced Performance Review: How to Use the Power of Social Recognition to Transform Employee Performance

The Crowdsourced Performance Review: How to Use the Power of Social Recognition to Transform Employee Performance PDF

Author: Eric Mosley

Publisher: McGraw-Hill Professional

Published: 2013-05-29

Total Pages: 273

ISBN-13: 0071817980

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Praise for The Crowdsourced Performance Review: "Take advantage of the technology and data available to you and turn the dreaded performance review into a powerful force for decision-making and culture-building by using the methods outlined in this clear and clever guide." --Daniel H. Pink, author of To Sell Is Human and Drive "Social technologies aren't just changing how people interact, they're fundamentally changing how businesses must engage with people inside and outside their organization. In The Crowdsourced Performance Review, Mosley shows HR and business leaders why a 'groundswell' approach for employee recognition is the key to driving better employee performance. This is one of the most innovative enterprise uses of crowdsourcing I've seen." --Charlene Li, founder of Altimeter Group, author of Open Leadership, and coauthor of Groundswell "In what is easily the most comprehensive and provocative Globoforce book to date, Mosley lays out a clear vision for how modern recognition systems can be integrated with performance management. This is one of the most interesting, innovative, and potentially important new approaches to performance management that I have seen in many years of working on this topic." --Gerald Ledford, Senior Research Scientist, Center for Effective Organizations, Marshall School of Business, University of Southern California "The Crowdsourced Performance Review should be at the top of every HR professional's reading list. It shows convincingly why the traditional performance review doesn't work and how social recognition is the key to a performance system that actually makes an impact." --Kevin Kruse, Forbes Leadership columnist and bestselling author of Employee Engagement 2.0 "As a pioneer in multirater feedback, I love Eric's new application! Social media comes to visit the performance appraisal. Many minds can be better than one! Read this and find out how." --Marshall Goldsmith, author of New York Times bestsellers MOJO and What Got You Here Won't Get You There Fix the Performance Review with the Wisdom of Crowds! Today's most successful companies are transforming their predictable "one-way" review processes into dynamic, collaborative systems that apply the latest social technologies. Instead of a one-time annual evaluation of performance, managers and employees receive collective feedback from everyone across their company. It's all achieved through crowdsourcing, and it generates more accurate, actionable results than traditional methods. With The Crowdsourced Performance Review, you'll create a review system that gathers the feedback of many, so you can make better, more informed decisions. And this new model is simpler than you think. It's based on three innovations: CROWDSOURCING: Applying the same techniques that companies like Apple, Angie's List, and Zagat use to inform customers, you can gather the same kind of data to inform managers. SOCIAL MEDIA TECHNOLOGIES: The most revolutionary communication tools since the telephone, these technologies have singlehandedly created a new language of business. ORGANIZATIONAL CULTURE: When managed well, it's one of the most effective tools for building and maintaining a competitive advantage. These three assets come together for the purpose of evaluating performance in the practice of social recognition--a system in which all employees recognize each other's great work on a daily basis. Social recognition creates engagement, energy, and even happiness in a company--leading to the ultimate goal of a Positivity-Dominated Workplace.

Crowdsourced Health

Crowdsourced Health PDF

Author: Elad Yom-Tov

Publisher: MIT Press

Published: 2016-03-11

Total Pages: 155

ISBN-13: 026233481X

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How data from our health-related Internet searches can lead to discoveries about diseases and symptoms and help patients deal with diagnoses. Most of us have gone online to search for information about health. What are the symptoms of a migraine? How effective is this drug? Where can I find more resources for cancer patients? Could I have an STD? Am I fat? A Pew survey reports more than 80 percent of American Internet users have logged on to ask questions like these. But what if the digital traces left by our searches could show doctors and medical researchers something new and interesting? What if the data generated by our searches could reveal information about health that would be difficult to gather in other ways? In this book, Elad Yom-Tov argues that Internet data could change the way medical research is done, supplementing traditional tools to provide insights not otherwise available. He describes how studies of Internet searches have, among other things, already helped researchers track to side effects of prescription drugs, to understand the information needs of cancer patients and their families, and to recognize some of the causes of anorexia. Yom-Tov shows that the information collected can benefit humanity without sacrificing individual privacy. He explains why people go to the Internet with health questions; for one thing, it seems to be a safe place to ask anonymously about such matters as obesity, sex, and pregnancy. He describes in detrimental effects of “pro-anorexia” online content; tells how computer scientists can scour search engine data to improve public health by, for example, identifying risk factors for disease and centers of contagion; and tells how analyses of how people deal with upsetting diagnoses help doctors to treat patients and patients to understand their conditions.

Crowdsourcing For Dummies

Crowdsourcing For Dummies PDF

Author: David Alan Grier

Publisher: John Wiley & Sons

Published: 2013-03-27

Total Pages: 391

ISBN-13: 111994385X

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Give your business the edge with crowd-power! Crowdsourcing is an innovative way of outsourcing tasks, problems or requests to a group or community online. There are lots of ways business can use crowdsourcing to their advantage: be it crowdsourcing product ideas and development, design tasks, market research, testing, capturing or analyzing data, and even raising funds. It offers access to a wide pool of talent and ideas, and is an exciting way to engage the public with your business. Crowdsourcing For Dummies is your plain-English guide to making crowdsourcing, crowdfunding and open innovation work for you. It gives step-by-step advice on how to plan, start and manage a crowdsourcing project, where to crowdsource, how to find the perfect audience, how best to motivate your crowd, and tips for troubleshooting.

Development Research in Practice

Development Research in Practice PDF

Author: Kristoffer Bjärkefur

Publisher: World Bank Publications

Published: 2021-07-16

Total Pages: 388

ISBN-13: 1464816956

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Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University