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| data science at nasa: Science Advice to NASA Joseph K. Alexander, 2017 This book documents highlights of NASA's interactions with outside scientific advisors over the agency's full lifetime and draws lessons from that history for research managers, decision makers, and scientists.The book is divided into three parts--the first two being focused on history and the third on synthesis and analysis. Part 1 briefly examines early forerunner activities at NACA and in the decade leading up to NASA's formation, and it then considers NASA's use of outside advice during its first three decades. Part 2 picks up the story in 1988 and follows it up to 2016. Part 3 examines a sampling of case studies, discusses recurring characteristics of notably successful advisory activities, and provides a glimpse at what past experience might imply for the future of scientific advice at NASA. The last two chapters provide big-picture summaries of themes that have emerged from earlier discussions. |
| data science at nasa: Our Warming Planet: Topics In Climate Dynamics Cynthia Rosenzweig, David Rind, Andrew Lacis, Danielle Peters, 2018-01-18 The processes and consequences of climate change are extremely heterogeneous, encompassing many different fields of study. Dr David Rind in his career at the NASA Goddard Institute for Space Studies and as a professor at Columbia University has had the opportunity to explore many of these subjects with colleagues from these diverse disciplines. It was therefore natural for the Lectures in Climate Change series to begin with his colleagues contributing lectures on their specific areas of expertise.This first volume, entitled Our Warming Planet: Topics in Climate Dynamics, encompasses topics such as natural and anthropogenic climate forcing, climate modeling, radiation, clouds, atmospheric dynamics/storms, hydrology, clouds, the cryosphere, paleoclimate, sea level rise, agriculture, atmospheric chemistry, and climate change education. Included with this publication are downloadable PowerPoint slides of each lecture for students and teachers around the world to be better able to understand various aspects of climate change.The lectures on climate change processes and consequences provide snapshots of the cutting-edge work being done to understand what may well be the greatest challenge of our time, in a form suitable for classroom presentation. |
| data science at nasa: EOS Data Products Handbook Michael D. King, 2003 Description of the data products that will be produced from the named scientific missions. |
| data science at nasa: Beyond Earth Asif A. Siddiqi, 2018 This is a completely updated and revised version of a monograph published in 2002 by the NASA History Office under the original title Deep Space Chronicle: A Chronology of Deep Space and Planetary Probes, 1958-2000. This new edition not only adds all events in robotic deep space exploration after 2000 and up to the end of 2016, but it also completely corrects and updates all accounts of missions from 1958 to 2000--Provided by publisher. |
| data science at nasa: Perspectives on Data Science for Software Engineering Tim Menzies, Laurie Williams, Thomas Zimmermann, 2016-07-14 Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community's leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid. - Presents the wisdom of community experts, derived from a summit on software analytics - Provides contributed chapters that share discrete ideas and technique from the trenches - Covers top areas of concern, including mining security and social data, data visualization, and cloud-based data - Presented in clear chapters designed to be applicable across many domains |
| data science at nasa: NASA's Scientist-Astronauts Shayler David, Colin Burgess, 2007-09-19 This book provides unique access to the story of how scientists were accepted into the American Space Programme, and reveals how, after four difficult decades, the role of the heroic test pilot astronaut has been replaced by men and women who are science orientated space explorers. |
| data science at nasa: Astronautics and Aeronautics, 1964 United States. National Aeronautics and Space Administration Scientific and Technical Information Division, 1965 |
| data science at nasa: NASA Activities , 1990 |
| data science at nasa: Ames Research Center , 1968 |
| data science at nasa: Principal-Investigator-Led Missions in the Space Sciences National Research Council, Division on Engineering and Physical Sciences, Space Studies Board, Committee on Principal-Investigator-Led Missions in the Space Sciences, 2006-04-22 Principal Investigator-Led (PI-led) missions are an important element of NASA's space science enterprise. While several NRC studies have considered aspects of PI-led missions in the course of other studies for NASA, issues facing the PI-led missions in general have not been subject to much analysis in those studies. Nevertheless, these issues are raising increasingly important questions for NASA, and it requested the NRC to explore them as they currently affect PI-led missions. Among the issues NASA asked to have examined were those concerning cost and scheduling, the selection process, relationships among PI-led team members, and opportunities for knowledge transfer to new PIs. This report provides a discussion of the evolution and current status of the PIled mission concept, the ways in which certain practices have affected its performance, and the steps that can carry it successfully into the future. The study was done in collaboration with the National Academy of Public Administration. |
| data science at nasa: Science With The Cherenkov Telescope Array The Cta Consortium, 2018-12-31 This book summarizes the science to be carried out by the upcoming Cherenkov Telescope Array, a major ground-based gamma-ray observatory that will be constructed over the next six to eight years. The major scientific themes, as well as core program of key science projects, have been developed by the CTA Consortium, a collaboration of scientists from many institutions worldwide.CTA will be the major facility in high-energy and very high-energy photon astronomy over the next decade and beyond. CTA will have capabilities well beyond past and present observatories. Thus, CTA's science program is expected to be rich and broad and will complement other major multiwavelength and multimessenger facilities. This book is intended to be the primary resource for the science case for CTA and it thus will be of great interest to the broader physics and astronomy communities. The electronic version (e-book) is available in open access. |
| data science at nasa: Machine Learning and Data Science in the Power Generation Industry Patrick Bangert, 2021-01-14 Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting. - Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful - Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them - Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems - Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls |
| data science at nasa: Text Mining with R Julia Silge, David Robinson, 2017-06-12 Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling. |
| data science at nasa: Shaping Science Janet Vertesi, 2020-11-06 In Shaping Science, Janet Vertesi draws on a decade of immersive ethnography with NASA’s robotic spacecraft teams to create a comparative account of two great space missions of the early 2000s. Although these missions featured robotic explorers on the frontiers of the solar system bravely investigating new worlds, their commands were issued from millions of miles away by a very human team. By examining the two teams’ formal structures, decision-making techniques, and informal work practices in the day-to-day process of mission planning, Vertesi shows just how deeply entangled a team’s local organizational context is with the knowledge they produce about other worlds. Using extensive, embedded experiences on two NASA spacecraft teams, this is the first book to apply organizational studies of work to the laboratory environment in order to analyze the production of scientific knowledge itself. Engaging and deeply researched, Shaping Science demonstrates the significant influence that the social organization of a scientific team can have on the practices of that team and the results they yield. |
| data science at nasa: NASA Space Flight Program and Project Management Handbook Nasa, 2018-03-21 This book is in full-color - other editions may be in grayscale (non-color). The hardback version is ISBN 9781680920512 and the paperback version is ISBN 9781680920505. The NASA Space Flight Program and Project Management Handbook (NASA/SP-2014-3705) is the companion document to NPR 7120.5E and represents the accumulation of knowledge NASA gleaned on managing program and projects coming out of NASA's human, robotic, and scientific missions of the last decade. At the end of the historic Shuttle program, the United States entered a new era that includes commercial missions to low-earth orbit as well as new multi-national exploration missions deeper into space. This handbook is a codification of the corporate knowledge for existing and future NASA space flight programs and projects. These practices have evolved as a function of NASA's core values on safety, integrity, team work, and excellence, and may also prove a resource for other agencies, the private sector, and academia. The knowledge gained from the victories and defeats of that era, including the checks and balances and initiatives to better control cost and risk, provides a foundation to launch us into an exciting and healthy space program of the future. |
| data science at nasa: How NASA Builds Teams Charles J. Pellerin, 2009-07-07 Every successful organization needs high-performance teams to compete and succeed. Yet, technical people are often resistant to traditional touchy-feely teambuilding. To improve communication, performance, and morale among NASA’s technical teams, former NASA Astrophysicist Dr. Charlie Pellerin developed the teambuilding process described in How NASA Builds Teams—an approach that is proven, quantitative, and requires only a fraction of the time and resources of traditional training methods. This 4-D process has boosted team performance in hundreds of NASA project teams, engineering teams, and management teams, including the people responsible for NASA’s most complex systems — the Space Shuttle, space telescopes, robots on Mars, and the mission back to the moon. How NASA Builds Teams explains how the 4-D teambuilding process can be applied in any organization, and includes a fast, free on-line behavioral assessment to help your team and the individual members understand each other and measure the key driver of team performance, the social context. Moreover, these simple, logical processes appeal strongly to technical teams who eschew touchy-feely training. Pellerin applies simple, elegant principles from his physics background to the art teambuilding, such as the use of a coordinate system to analyze the characteristics of team performance into actionable elements. The author illustrates the teambuilding process with entertaining stories from his decade as NASA’s Director for Astrophysics and subsequent 15 years of working closely with NASA and outside business teams. For example, he tells how the processes in the book enabled him to initiate the space mission to fix the Hubble Space Telescope’s flawed mirror. Free downloadable resources will help you: Identify your teammates’ innate personalities Diagram your culture (And compare it to your customer’s) Measure the coherency of your project’s paradigm (Get this wrong and you will be fired!) and Learn to meet people’s need to feel valued by you. Further, you can download and use Pellerin’s most powerful tool for influencing the outcome of any difficult situation: the Context Shifting Worksheet. |
| data science at nasa: Data Feminism Catherine D'Ignazio, Lauren F. Klein, 2020-03-31 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. |
| data science at nasa: Supporting Research and Data Analysis in NASA's Science Programs National Research Council, Division on Engineering and Physical Sciences, Commission on Physical Sciences, Mathematics, and Applications, Space Studies Board, Task Group on Research and Analysis Programs, 1998-11-16 Effective science, clearly a mandate for the National Aeronautics and Space Administration (NASA), involves asking significant questions about the physical and biological world and seeking definitive answers. Its product is new knowledge that has value to the nation. NASA's flight projects are highly visible and usually the most costly elements of this process, but they are only a part of the science enterprise. Flight projects are founded on research that defines clear scientific goals and questions, designs missions to address those questions, and develops the required technologies to accomplish the missions. This research is funded primarily by NASA's research and analysis (R&A) programs. Data from flight projects are transformed into knowledge through analysis and synthesis-research that is funded both by R&A and by the data analysis (DA) portion of mission operations and data analysis (MO&DA) programs. R&A and DA programs are the subject of this report and are grouped for convenience under the heading of research and data analysis (R&DA). |
| data science at nasa: NASA Strategic Plan United States. National Aeronautics and Space Administration, 1994 |
| data science at nasa: NASA Historical Data Book Jane Van Nimmen, 1988 |
| data science at nasa: Rise of the Rocket Girls Nathalia Holt, 2016-04-05 The riveting true story of the women who launched America into space. In the 1940s and 50s, when the newly minted Jet Propulsion Laboratory needed quick-thinking mathematicians to calculate velocities and plot trajectories, they didn't turn to male graduates. Rather, they recruited an elite group of young women who, with only pencil, paper, and mathematical prowess, transformed rocket design, helped bring about the first American satellites, and made the exploration of the solar system possible. For the first time, Rise of the Rocket Girls tells the stories of these women -- known as human computers -- who broke the boundaries of both gender and science. Based on extensive research and interviews with all the living members of the team, Rise of the Rocket Girls offers a unique perspective on the role of women in science: both where we've been, and the far reaches of space to which we're heading. If Hidden Figures has you itching to learn more about the women who worked in the space program, pick up Nathalia Holt's lively, immensely readable history, Rise of the Rocket Girls. -- Entertainment Weekly |
| data science at nasa: Grading NASA's Solar System Exploration Program National Research Council, Division on Engineering and Physical Sciences, Space Studies Board, Committee on Assessing the Solar System Exploration Program, 2008-04-25 The NASA Authorization Act of 2005 directed the agency to ask the NRC to assess the performance of each division in the NASA Science directorate at five-year intervals. In this connection, NASA requested the NRC to review the progress the Planetary Exploration Division has made in implementing recommendations from previous, relevant NRC studies. This book provides an assessment of NASA's progress in fulfilling those recommendations including an evaluation how well it is doing and of current trends. The book covers key science questions, flight missions, Mars exploration, research and analysis, and enabling technologies. Recommendations are provided for those areas in particular need of improvement. |
| data science at nasa: NASA/TREK Constance Penley, 1997-06-17 In this investigation and celebration of America's fascination with space, Constance Penley, a professor of film studies and women's studies at the University of California, illustrates issues of sex and sexuality in the world of science and technology and examines the widely held prejudices against women in this area. 20 photos. |
| data science at nasa: Storytelling with Data Cole Nussbaumer Knaflic, 2015-10-09 Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it! |
| data science at nasa: EOS Science Plan , 1999 |
| data science at nasa: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-11-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
| data science at nasa: International Reference Guide to Space Launch Systems Steven J. Isakowitz, Joseph P. Hopkins, Joshua B. Hopkins, 2004 This bestselling reference guide contains the most reliable and comprehensive material on launch programs in Brazil, China, Europe, India, Israel, and the United States. Packed with illustrations and figures, this edition has been updated and expanded, and offers a quick and easy data retrieval source for policy makers, planners, engineers, launch buyers, and students. |
| data science at nasa: Lunar Sourcebook Grant Heiken, David Vaniman, Bevan M. French, 1991-04-26 The only work to date to collect data gathered during the American and Soviet missions in an accessible and complete reference of current scientific and technical information about the Moon. |
| data science at nasa: Data Science For Dummies Lillian Pierson, 2021-08-20 Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today. |
| data science at nasa: The Data Science Design Manual Steven S. Skiena, 2017-07-01 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) |
| data science at nasa: Human-Centered Data Science Cecilia Aragon, Shion Guha, Marina Kogan, Michael Muller, Gina Neff, 2022-03-01 Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns. |
| data science at nasa: The NASA Kepler Mission Steve B.. Howell, 2020-09-15 This book covers the numerous, paradigm changing scientific discoveries in exoplanets and other areas of astrophysics made possible by the NASA Kepler and K2 Missions. It is suitable for the interested layperson, pupils of science and space missions, and advanced science students and researchers. |
| data science at nasa: Katherine Johnson M. M. Eboch, 2019-08-11 Book Features: • 24 pages, 10 inches x 8 inches • Ages 6-9, Grades 1-3 leveled readers • Simple, easy-to-read pages with illustrations • Features vocabulary and comprehension and extension activities • Includes reading tips, a timeline, and a glossary The Magic Of Reading: Prepare to take off into a reading adventure that is out of this world with Women in Science and Technology: Katherine Johnson—a 24-page biography of the NASA mathematician who helped launch some of the first space flights. Hands-On Reading Adventure: The first launch into space was nothing short of extraordinary, and neither was NASA mathematician Katherine Johnson. Follow along on Katherine's journey, paving the way for the first flights and exploration into space. Features: More than just an exciting book about space exploration, this kids book also includes a vocabulary list, reading tips for interaction and engagement, and extension and comprehension activities. A glossary and timeline are also included. Leveled Books: Vibrant illustrations and leveled text work together to engage readers and promote reading comprehension skills. This leveled book engages 1st—3rd graders through new vocabulary and high-interest topics like space exploration. Why Rourke Educational Media: Since 1980, Rourke Publishing Company has specialized in publishing engaging and diverse non-fiction and fiction books for children in a wide range of subjects that support reading success on a level that has no limits. |
| data science at nasa: Why Mars W. Henry Lambright, 2014-06-10 Traces NASA’s torturous journey to Mars from the fly-bys of the 1960s to landing rovers and seeking life today. Mars has captured the human imagination for decades. Since NASA’s establishment in 1958, the space agency has looked to Mars as a compelling prize, the one place, beyond the Moon, where robotic and human exploration could converge. Remarkably successful with its roaming multi-billion-dollar robot, Curiosity, NASA’s Mars program represents one of the agency’s greatest achievements. Why Mars analyzes the history of the robotic Mars exploration program from its origins to today. W. Henry Lambright examines the politics and policies behind NASA's multi-decade quest, illuminating the roles of key individuals and institutions along with their triumphs and defeats. Lambright outlines the ebbs and flows of policy evolution, focusing on critical points of change and factors that spurred strategic reorientation. He explains Mars exploration as a striking example of “big science” and describes the ways a powerful advocacy coalition—composed of NASA decision makers, the Jet Propulsion Laboratory, the Mars academic science community, and many others—has influenced governmental decisions on Mars exploration, making it, at times, a national priority. The quest for Mars stretches over many years and involves billions of dollars. What does it take to mount and give coherence to a multi-mission, big science program? How do advocates and decision makers maintain goals and adapt their programs in the face of opposition and budgetary stringency? Where do they succeed in their strategies? Where do they fall short? Lambright’s insightful book suggests that from Mars exploration we can learn lessons that apply to other large-scale national endeavors in science and technology. |
| data science at nasa: NASA's Science Activation Program National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Committee to Assess Science Activation, 2020-06-01 The National Aeronautics and Space Administration (NASA) is one of the United States' leading federal science, technology, engineering, and mathematics (STEM) agencies and plays an important role in the landscape of STEM education. In 2015, NASA's Science Mission Directorate (SMD) created the Science Activation (SciAct) program to increase the overall coherence of SMD's education efforts, to support more effective, sustainable, and efficient use of SMD science discoveries for education, and to enable NASA scientists and engineers to engage more effectively and efficiently in the STEM learning environment with learners of all ages. SciAct is now transitioning into its second round of funding, and it is beneficial to review the program's portfolio and identify opportunities for improvement. NASA's Science Activation Program: Achievements and Opportunities assesses SciAct's efforts towards meeting its goals. The key objectives of SciAct are to enable STEM education, improve U.S. scientific literacy, advance national education goals, and leverage efforts through partnerships. This report describes and assesses the history, current status, and vision of the program and its projects. It also provides recommendations to enhance NASA's efforts through the SciAct program. |
| data science at nasa: Be the Outlier Shrilata Murthy, 2020-07-27 According to LinkedIn's third annual U.S. Emerging Jobs Report, the data scientist role is ranked third among the top-15 emerging jobs in the U.S. Though the field of data science has been exploding, there didn't appear to be a comprehensive resource to help data scientists navigate the interview process... until now. In Be the Outlier: How to Ace Data Science Interviews, data scientist Shrilata Murthy covers all aspects of a data science interview in today's industry. Murthy combines her own experience in the job market with expert insight from data scientists with Google, Facebook, Amazon, NASA, Aetna, MBB & Big 4 consulting firms, and many more. In this book, you'll learn... the foundational knowledge that is key to any data science interview the 100-Word Story framework for writing a stellar resume what to expect from a variety of interview styles (take-home, presentation, case study, etc.), and actionable ways to differentiate yourself from your peers. By using real-world examples, practice questions, and sample interviews, Murthy has created an easy-to-follow guide that will help you crack any data science interview. After reading Be the Outlier, get ready to land your dream job in data science. |
| data science at nasa: Practical Data Science with R Nina Zumel, John Mount, 2014-04-10 Summary Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day data science tasks without a lot of academic theory or advanced mathematics. Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence, and decision support, it shows you how to design experiments (such as A/B tests), build predictive models, and present results to audiences of all levels. This book is accessible to readers without a background in data science. Some familiarity with basic statistics, R, or another scripting language is assumed. What's Inside Data science for the business professional Statistical analysis using the R language Project lifecycle, from planning to delivery Numerous instantly familiar use cases Keys to effective data presentations About the Authors Nina Zumel and John Mount are cofounders of a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science at win-vector.com. Table of Contents PART 1 INTRODUCTION TO DATA SCIENCE The data science process Loading data into R Exploring data Managing data PART 2 MODELING METHODS Choosing and evaluating models Memorization methods Linear and logistic regression Unsupervised methods Exploring advanced methods PART 3 DELIVERING RESULTS Documentation and deployment Producing effective presentations |
| data science at nasa: Murmurs of Earth Carl Sagan, 2013-04-02 In 1977, two extraodinary spacecraft called Voyager were launched to the stars. Affixed to each Voyager craft was a gold-coated copped phonograph record as a message to possible extra-terrestrial civilizations that might encounter the spacecraft in some distant space and time. Each record contained 118 photographs of our planet; almost 90 minutes of the world's greatest music; an evolutionary audio essay on The Sounds of Earth; and greetings in almost sixty human languages (and one whale language). This book is an account, written by those chiefly responsible for the contents of the Voyager Record, of why they did it, how they selected the repertoire, and precisely what the record contains. |
| data science at nasa: NASA Graphics Standards Manual Jesse Reed, Hamish Smyth, 2015-09 The NASA Graphics Standards Manual, by Richard Danne and Bruce Blackburn, is a futuristic vision for an agency at the cutting edge of science and exploration. Housed in a special anti-static package, the book features a foreword by Richard Danne, an essay by Christopher Bonanos, scans of the original manual (from Danne's personal copy), reproductions of the original NASA 35mm slide presentation, and scans of the Managers Guide, a follow-up booklet distributed by NASA. |
| data science at nasa: Supporting Research and Data Analysis in NASA's Science Programs , 1998 |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
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Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Roadmap for In-Space Propulsion Technology - NASA …
advancement of aeronautics and space science. The NASA Scientific and Technical Information (STI) program plays a key part in helping NASA maintain this important role. ... scientific and …
Evolving NASA’s Data and Information Systems for Earth …
6. Science Data Product Algorithm Input: Any ancillary data or other data sets used in generation or calibration of the data or derived product; ancillary data description and documentation 7. …
Home Page - NASA-ISRO SAR Mission (NISAR)
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NASA ESDS Citizen Science Data Working Group White …
science data collection and management; information on ensuring usability of citizen science data and communication regarding its use; and best practices for long-term archival of citizen …
Increasing Discoverability Across Planetary Science Data …
The early focus of PDS was on capturing, restoring, and preserving science data from NASA’s planetary missions. PDS settled on version 3 of its standard, better known as “PDS3”. While …
NASA Aerospace Technology (AST) Qualification and Rating …
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RESEARCH OPPORTUNITIES IN SPACE AND EARTH SCIENCES
data and returned samples from the Earth or space; • Earth surface observations and field campaigns that support and/or complement SMD science missions to support NASA …
Earth Systems Digital Twins (ESDT) - NASA Technical Reports …
Jun 15, 2023 · Why Digital Twins in Earth Science? AIST •Well documented data covering the entire Earth have now been collected continuously for more than 50 years, not only from space …
Landsat 7 Science Data Users Handbook - NASA
The Landsat 7 Science Data User's Handbook is a living document prepared by the Landsat Project Science Office at NASA's Goddard Space Flight Center in Greenbelt, Maryland. Its …
Earth Science Data Literacy - NASA Technical Reports Server …
users’ needs. NASA EarthdataWebinars show users how to: discover and access NASA Earth science data; learn how to use a variety of data products and tools across the Earth science …
Commercial SmallSat Data Acquisition (CSDA) Program …
proposed will characterize the utility of the CSDA data holdings in the context of NASA Earth Science research and applications. ROSES.48 ~November 2024 •Expansion of use of NASA …
Mars Atmosphere and Volatile Evolution Mission
The Laboratory for Atmospheric and Space Physics (LASP) combines all aspects of space exploration through our expertise in science, engineering, mission operations, and data …
Commercial Satellite Data Acquisition Program BlackSky …
by NASA’s Commercial Data Acquisition (CSDA) Program. TSatellite he purpose of the evaluation is to determine the utility of the BlackSky data for the NASA Earth science research and …
Presentation - assets.science.nasa.gov
6. Data Fusion: AI integrates data from multiple satellite sources, creating a comprehensive and cohesive dataset that improves analysis and decision-making. 7. Improved Data Visualization: …
NASA s public access plan
NASA’s culture of open data access to all NASA funded research. This plan also extends NASA’s culture of open data access to all NASA-funded research, including data products that are not …
nasa geospatial data strategy 2021
commitment to an open data initiative has made NASA a leader and a steward of scientific data both within the United States and internationally. NASA’s Earth Science Data System (ESDS) …
Commercial SmallSat Data Acquisition (CSDA) Program …
proposed will characterize the utility of the CSDA data holdings in the context of NASA Earth Science research and applications. ROSES.48 ~November 2024 •Expansion of use of NASA …
The Big Data Wave - NASA
importance in our research and science is enormous. NASA is committed to making our data as accessible as possible, both for the benefit of our work and for the betterment of humankind. In …
ENABLING DYNAMIC DATA GOVERNANCE IN SCIENCE
Storage Where data, code, metadata and information are stored People Data stewards: Curate metadata, gather and organize information, adhere to open science principles, execute against …
EARTH SCIENCE DEEP LEARNING: APPLICATIONS AND …
phenomenon) data for case study analysis. Earth science data search systems are currently limited to specifying a query parameter that includes space and time of an event. This is a …
JSC Engineering, Technology and Science Contract Data
Data Requirements Description (DRD) and shall govern that data required for this contract. The contractor shall furnish data defined by the DRDs listed on the Data Requirements List (DRL) …
LISA Science implementation study charter final - NASA
including elements of the science data pipeline and a science archive. NASA currently is making contributions to LISA as a junior partner including a substantial fraction of the science …
423-SPEC-001 NASA Earth Science Data Preservation …
May 3, 2022 · NASA Earth Science Data Preservation Content Specification 423-SPEC-001, Revision C Effective Date: May 2022 ii Check the ESDIS Doc Server at https://ops1 …
The Value of Being a Trustworthy Repository - NASA …
The Value of Being a Trustworthy Repository. Paper IN23A-01, December 10, 2019. Fall AGU Meeting, San Francisco, CA. Jeanne Behnke. 1 and Hampapuram (Rama) Ramapriyan1,2. …
The Big Data Wave - NASA
importance in our research and science is enormous. NASA is committed to making our data as accessible as possible, both for the benefit of our work and for the betterment of humankind. In …
3B42 3B43 doc V7 150408 - NASA Global Precipitation …
(PPS, formerly the TRMM Science Data and Information System), NASA Goddard Space Flight Center, Code 610.2, Greenbelt, Maryland. ... The TMPA draws on data from several *data …
Digital Twins and Living Models at NASA - NASA Technical …
Earth Science Systems NASA ESTO Advanced Information Systems Technology (AIST) Earth System Digital Twins (ESDT) Thrust • an interactive and integrated multidomain, multiscale, …
423- PLAN-001, Revision A Earth Science Data and …
Sep 13, 2018 · NASA Earth Science Data and Information Policy 423- SPEC-001 NASA Earth Science Preservation Specification 8Check ESDIS CM library, https://ops1- …
Space Administration Earth Science - NASA
a designated NASA Data Center for Earth science. The GHRC provides both historical and current Earth science data, information, and products from satellite, airborne, and surface …
NASA_VIIRS_L1B_UG_August_2021
Characterization Support Team (VCST), NASA VIIRS Geolcation group, and the NASA Earth Science Data and Information System (ESDIS) project. 1.2 Questions/Feedback, etc. If you …
Laser Interferometer Space Antenna (LISA) NASA Science …
including elements of the science data pipeline and a science archive. NASA currently is making contributions to LISA as a junior partner including a substantial fraction of the science …
The TESS Science Processing Operations Center - NASA
data rate a orded by TESS’ closer orbit to Earth. Table1lists the relevant quantities determining data rate and total data volume for the original data collected on board each spacecraft once …
NASA’s Transform to Open Science (TOPS) - Exoplanet …
Open Science 101: A community-developed introduction to . core open science skills Know how to write a NASA open science and data management plan Learn about tools and best practices …
NASA OFFICE OF INSPECTOR GENERAL
The Earth Science Data Systems (ESDS) Program within the Science Mission Directorate (SMD) oversees the life cycle of NASA’s Earth science data—from acquisition through processing and …
The Kepler Science Data Processing Pipeline Source Code …
the science data processing steps is given inJenkins et al.(2010a). The Pipeline source code is primarily written in Java and MATLAB. For the most part, the data processing and analysis …
PACE Technical Report Series, Volume - NASA Technical …
October 2020 PACE Science Data Product Selection Plan Jeremy Werdell, NASA Goddard Space Flight Center, Greenbelt, Maryland Bryan Franz, NASA Goddard Space Flight Center, …
Visualization, Exploration, and Data Analysis (VEDA)
NASA data on the cloud Vision: VEDA Components: Analysis-ready data catalogfor consistent access to a variety of NASA Earth Science datasets. Analytics platformfor interactive analysis …
Mission Architecture Concepts for Time-Resolved Science
NASA operates science processing, archive, and distribution 3. ... Estimates The hosted payload, phased implementation mission architecture reduces mission cost and risk, and delivers …
Data Access and Visualization of Model data at the GES …
DISC) is one of the 12 NASA EOSDIS DAACS that manage, archive and distributes the Earth science data as part of NASA’s Earth Science Data Systems Program. We provide the support …
Earth Science to Action Strategy - NASA
EARTH SCIENCE DIVISION NASA Core Values As part of our NASA Earth science enterprise, we adopt and adhere to the fundamental five NASA core values: • Safety: NASA’sconstant …
LUNAR SURFACE DATA BOOK - NASA Technical Reports …
Oct 6, 2022 · these missions are available through NASA's Planetary Data System (PDS), NASA's Space Science Data Coordinated Archive (NSSDC), and the PDS' Analyst Notebook. …
PACE Technical Report Series, Volume 9
Earth Science at NASA, NOAA, and USGS, entitled . Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond. PACE will extend the high quality …
Earth System Digital Twins (ESDT) Technology for NASA Earth …
May 26, 2022 · for NASA Earth Science Jacqueline Le Moigne LPS'2022 May 26, 2022 101001110101 111 011010101110 000 1010111000010 1110 11011010101 11011010101 0 …
ROSES Open Science and Data Management Plan Template
1.1 Expected data types, formats, volumes, and standards Describe the scientifically useful data expected to be produced from the proposed activities. Include: • types of data to be produced …
NASA’S EVOLVING KA-BAND NETWORK CAPABILITIES TO …
2. Science and Exploration Drivers As NASA’s science and exploration capabilities mature, the instruments, payloads, and operational needs are driving significant increases in data volume …
National Aeronautics and Space Administration - NASA
NASA’s Applied Remote Sensing Training Program 8 Machine Learning Frameworks in Python • Python-based tools dominate the machine learning frameworks based on Kaggle's 2021 State …
Earth Science Data Systems 2020 Program Highlights
Program oversees the life cycle of NASA Earth science data – from acquisition through processing and distribution – and seeks to maximize the scientific return from NASA Earth …
The Artemis Program - NASA Technical Reports Server (NTRS)
science activities such as imaging, sampling, and instrument deployment. • A thoughtfully-planned, skillfully-collected, carefully-returned, and meticulously-curated set of samples from …
Europa Clipper Instrument Summaries
Data Rate Total Science Data Per Encounter for all three sensors both high and low rate = 0.359 Gbits (high data rate for science data: 1209.6 bits/second per sensor, 4 hours per 14.2 day …
NASA
the body of data needed to make definitive, scientific conclusions about UAP. At NASA, we use data and the tools of science to explore the unknown in the atmosphere and space. In June …
