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Getting Results Workshop Summary


 Getting Results Workshop Summary
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Getting Results Workshop Summary


 Getting Results Workshop Summary
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Author : United Way of Central Carolinas
language : en
Publisher:
Release Date : 1990

Getting Results Workshop Summary written by United Way of Central Carolinas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Communication categories.




Summary Of A Workshop On The Future Of Antennas


Summary Of A Workshop On The Future Of Antennas
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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 2012-11-07

Summary Of A Workshop On The Future Of Antennas written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-07 with Computers categories.


The Workshop on the Future of Antennas was the second of three workshops conducted by the National Research Council's Committee for Science and Technology Challenges to U.S. National Security Interests. The objectives of the workshop were to review trends in advanced antenna research and design, review trends in commercials and military use of advanced antennas that enable improved communication, data transfer, soldier health monitoring, and other overt and covert methods of standoff data collection. The first day's sessions, consisting of five presentations and discussions on antennas and wireless communications and control, were open to committee members, staff, guests, and members of the public. The second day was a data-gathering session addressing vulnerabilities, indicators, and observables; presentations and discussions during this session included classified material and were not open to the public. The committee's role was limited to planning and convening the workshop. This report is organized by topic in the order of presentation and discussion at the workshop. For Day 1 the topics were Future of Antennas, Commercial State of the Art of Wireless Communications and Control, Military State of the Art of Wireless Communications and Control, and Future Trends in Antenna Design and Wireless Communications and Control. For Day 2 the topics were Vulnerabilities of Ubiquitous Antennas, and Indicators and Observables, followed by a wrap-up discussion. Summary of a Workshop on the Future of Antennas describes what happened at the workshop.



Seventh National Stakeholder Workshop Summary Report Chicago Illinois May 27 28 1999


Seventh National Stakeholder Workshop Summary Report Chicago Illinois May 27 28 1999
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Author :
language : en
Publisher: DIANE Publishing
Release Date :

Seventh National Stakeholder Workshop Summary Report Chicago Illinois May 27 28 1999 written by and has been published by DIANE Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




The Data Analysis Workshop


The Data Analysis Workshop
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Author : Gururajan Govindan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-29

The Data Analysis Workshop written by Gururajan Govindan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-29 with Computers categories.


Learn how to analyze data using Python models with the help of real-world use cases and guidance from industry experts Key FeaturesGet to grips with data analysis by studying use cases from different fieldsDevelop your critical thinking skills by following tried-and-true data analysisLearn how to use conclusions from data analyses to make better business decisionsBook Description Businesses today operate online and generate data almost continuously. While not all data in its raw form may seem useful, if processed and analyzed correctly, it can provide you with valuable hidden insights. The Data Analysis Workshop will help you learn how to discover these hidden patterns in your data, to analyze them, and leverage the results to help transform your business. The book begins by taking you through the use case of a bike rental shop. You'll be shown how to correlate data, plot histograms, and analyze temporal features. As you progress, you'll learn how to plot data for a hydraulic system using the Seaborn and Matplotlib libraries, and explore a variety of use cases that show you how to join and merge databases, prepare data for analysis, and handle imbalanced data. By the end of the book, you'll have learned different data analysis techniques, including hypothesis testing, correlation, and null-value imputation, and will have become a confident data analyst. What you will learnGet to grips with the fundamental concepts and conventions of data analysisUnderstand how different algorithms help you to analyze the data effectivelyDetermine the variation between groups of data using hypothesis testingVisualize your data correctly using appropriate plotting pointsUse correlation techniques to uncover the relationship between variablesFind hidden patterns in data using advanced techniques and strategiesWho this book is for The Data Analysis Workshop is for programmers who already know how to code in Python and want to use it to perform data analysis. If you are looking to gain practical experience in data science with Python, this book is for you.



Project Summary Of Improving Processes For Obtaining And Utilizing Traffic Data For Highway Design


Project Summary Of Improving Processes For Obtaining And Utilizing Traffic Data For Highway Design
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Author : Jason A. Crawford
language : en
Publisher:
Release Date : 2004

Project Summary Of Improving Processes For Obtaining And Utilizing Traffic Data For Highway Design written by Jason A. Crawford and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Roads categories.




Design Thinking For Training And Development


Design Thinking For Training And Development
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Author : Sharon Boller
language : en
Publisher: Association for Talent Development
Release Date : 2020-06-09

Design Thinking For Training And Development written by Sharon Boller and has been published by Association for Talent Development this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-09 with Business & Economics categories.


Better Learning Solutions Through Better Learning Experiences When training and development initiatives treat learning as something that occurs as a one-time event, the learner and the business suffer. Using design thinking can help talent development professionals ensure learning sticks to drive improved performance. Design Thinking for Training and Development offers a primer on design thinking, a human-centered process and problem-solving methodology that focuses on involving users of a solution in its design. For effective design thinking, talent development professionals need to go beyond the UX, the user experience, and incorporate the LX, the learner experience. In this how-to guide for applying design thinking tools and techniques, Sharon Boller and Laura Fletcher share how they adapted the traditional design thinking process for training and development projects. Their process involves steps to: Get perspective. Refine the problem. Ideate and prototype. Iterate (develop, test, pilot, and refine). Implement. Design thinking is about balancing the three forces on training and development programs: learner wants and needs, business needs, and constraints. Learn how to get buy-in from skeptical stakeholders. Discover why taking requests for training, gathering the perspective of stakeholders and learners, and crafting problem statements will uncover the true issue at hand. Two in-depth case studies show how the authors made design thinking work. Job aids and tools featured in this book include: a strategy blueprint to uncover what a stakeholder is trying to solve an empathy map to capture the learner’s thoughts, actions, motivators, and challenges an experience map to better understand how the learner performs. With its hands-on, use-it-today approach, this book will get you started on your own journey to applying design thinking.



Sharing Clinical Research Data


Sharing Clinical Research Data
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Author : Institute of Medicine
language : en
Publisher: National Academies Press
Release Date : 2013-06-07

Sharing Clinical Research Data written by Institute of Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-07 with Medical categories.


Pharmaceutical companies, academic researchers, and government agencies such as the Food and Drug Administration and the National Institutes of Health all possess large quantities of clinical research data. If these data were shared more widely within and across sectors, the resulting research advances derived from data pooling and analysis could improve public health, enhance patient safety, and spur drug development. Data sharing can also increase public trust in clinical trials and conclusions derived from them by lending transparency to the clinical research process. Much of this information, however, is never shared. Retention of clinical research data by investigators and within organizations may represent lost opportunities in biomedical research. Despite the potential benefits that could be accrued from pooling and analysis of shared data, barriers to data sharing faced by researchers in industry include concerns about data mining, erroneous secondary analyses of data, and unwarranted litigation, as well as a desire to protect confidential commercial information. Academic partners face significant cultural barriers to sharing data and participating in longer term collaborative efforts that stem from a desire to protect intellectual autonomy and a career advancement system built on priority of publication and citation requirements. Some barriers, like the need to protect patient privacy, pre- sent challenges for both sectors. Looking ahead, there are also a number of technical challenges to be faced in analyzing potentially large and heterogeneous datasets. This public workshop focused on strategies to facilitate sharing of clinical research data in order to advance scientific knowledge and public health. While the workshop focused on sharing of data from preplanned interventional studies of human subjects, models and projects involving sharing of other clinical data types were considered to the extent that they provided lessons learned and best practices. The workshop objectives were to examine the benefits of sharing of clinical research data from all sectors and among these sectors, including, for example: benefits to the research and development enterprise and benefits to the analysis of safety and efficacy. Sharing Clinical Research Data: Workshop Summary identifies barriers and challenges to sharing clinical research data, explores strategies to address these barriers and challenges, including identifying priority actions and "low-hanging fruit" opportunities, and discusses strategies for using these potentially large datasets to facilitate scientific and public health advances.



Training Students To Extract Value From Big Data


Training Students To Extract Value From Big Data
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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 2015-01-16

Training Students To Extract Value From Big Data written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-16 with Mathematics categories.


As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now that the amount of information exceeds a human's ability to examine, let alone absorb, it. Data sets are increasingly complex, and this potentially increases the problems associated with such concerns as missing information and other quality concerns, data heterogeneity, and differing data formats. The nation's ability to make use of data depends heavily on the availability of a workforce that is properly trained and ready to tackle high-need areas. Training students to be capable in exploiting big data requires experience with statistical analysis, machine learning, and computational infrastructure that permits the real problems associated with massive data to be revealed and, ultimately, addressed. Analysis of big data requires cross-disciplinary skills, including the ability to make modeling decisions while balancing trade-offs between optimization and approximation, all while being attentive to useful metrics and system robustness. To develop those skills in students, it is important to identify whom to teach, that is, the educational background, experience, and characteristics of a prospective data-science student; what to teach, that is, the technical and practical content that should be taught to the student; and how to teach, that is, the structure and organization of a data-science program. Training Students to Extract Value from Big Data summarizes a workshop convened in April 2014 by the National Research Council's Committee on Applied and Theoretical Statistics to explore how best to train students to use big data. The workshop explored the need for training and curricula and coursework that should be included. One impetus for the workshop was the current fragmented view of what is meant by analysis of big data, data analytics, or data science. New graduate programs are introduced regularly, and they have their own notions of what is meant by those terms and, most important, of what students need to know to be proficient in data-intensive work. This report provides a variety of perspectives about those elements and about their integration into courses and curricula.



Environmental Assessment Methodology Workshop Summary And Recommendations


Environmental Assessment Methodology Workshop Summary And Recommendations
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Author :
language : en
Publisher:
Release Date : 1979

Environmental Assessment Methodology Workshop Summary And Recommendations written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Environmental impact analysis categories.




Sharing Clinical Research Data


Sharing Clinical Research Data
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Author : Forum on Drug Discovery, Development, and Translation
language : en
Publisher: National Academies Press
Release Date : 2013-05-21

Sharing Clinical Research Data written by Forum on Drug Discovery, Development, and Translation and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-21 with Medical categories.


Pharmaceutical companies, academic researchers, and government agencies such as the Food and Drug Administration and the National Institutes of Health all possess large quantities of clinical research data. If these data were shared more widely within and across sectors, the resulting research advances derived from data pooling and analysis could improve public health, enhance patient safety, and spur drug development. Data sharing can also increase public trust in clinical trials and conclusions derived from them by lending transparency to the clinical research process. Much of this information, however, is never shared. Retention of clinical research data by investigators and within organizations may represent lost opportunities in biomedical research. Despite the potential benefits that could be accrued from pooling and analysis of shared data, barriers to data sharing faced by researchers in industry include concerns about data mining, erroneous secondary analyses of data, and unwarranted litigation, as well as a desire to protect confidential commercial information. Academic partners face significant cultural barriers to sharing data and participating in longer term collaborative efforts that stem from a desire to protect intellectual autonomy and a career advancement system built on priority of publication and citation requirements. Some barriers, like the need to protect patient privacy, pre- sent challenges for both sectors. Looking ahead, there are also a number of technical challenges to be faced in analyzing potentially large and heterogeneous datasets. This public workshop focused on strategies to facilitate sharing of clinical research data in order to advance scientific knowledge and public health. While the workshop focused on sharing of data from preplanned interventional studies of human subjects, models and projects involving sharing of other clinical data types were considered to the extent that they provided lessons learned and best practices. The workshop objectives were to examine the benefits of sharing of clinical research data from all sectors and among these sectors, including, for example: benefits to the research and development enterprise and benefits to the analysis of safety and efficacy. Sharing Clinical Research Data: Workshop Summary identifies barriers and challenges to sharing clinical research data, explores strategies to address these barriers and challenges, including identifying priority actions and "low-hanging fruit" opportunities, and discusses strategies for using these potentially large datasets to facilitate scientific and public health advances.