Vulnerability and Adaptation to Climate Change
Vulnerability and Adaptation to Climate Change

Author: Joel B. Smith

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 422

ISBN-13: 9401736537

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Martin Parry University College, London, UK The 13 country studies collected in this re Adaptations Assessment published by the port represent the first of what is likely to Intergovernmental Panel on Climate Change become a worldwide, country-by-country (Carter et al., 1994) as an agreed technical estimate of the likely impacts of, and appro set of scientific methods for climate impact priate adaptations to, greenhouse-gas-in assessment and has written its own guidance duced global climate change. document, Guidance for Vulnerability and Adaptation Assessment (U.S. CSP, 1994). Under the U.N. Framework Convention on The u.S. Country Studies Program devel Climate Change (UNFCCC), signatories oped the Guidance and other reviews of agreed to two near-term actions and one ma methodology into a nonspecialist set of jor subsequent one. The two near-term ac workbooks for use at the country level, tions are to make annual estimates of the which, backed up by advice from experi emissions and sinks of greenhouse gases, enced scientists from the United States and which are now being reported as part of a other countries, enabled local scientists to country-by-country inventory developed by conduct their own vulnerability and adapta the U.N. Environment Programme, the Or tion assessments.

CENFOR
CENFOR

Author: United States. Bureau of the Census

Publisher:

Published: 1971

Total Pages: 1326

ISBN-13:

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Envisioning the Data Science Discipline
Envisioning the Data Science Discipline

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2018-03-05

Total Pages: 69

ISBN-13: 0309465052

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The need to manage, analyze, and extract knowledge from data is pervasive across industry, government, and academia. Scientists, engineers, and executives routinely encounter enormous volumes of data, and new techniques and tools are emerging to create knowledge out of these data, some of them capable of working with real-time streams of data. The nation's ability to make use of these data depends on the availability of an educated workforce with necessary expertise. With these new capabilities have come novel ethical challenges regarding the effectiveness and appropriateness of broad applications of data analyses. The field of data science has emerged to address the proliferation of data and the need to manage and understand it. Data science is a hybrid of multiple disciplines and skill sets, draws on diverse fields (including computer science, statistics, and mathematics), encompasses topics in ethics and privacy, and depends on specifics of the domains to which it is applied. Fueled by the explosion of data, jobs that involve data science have proliferated and an array of data science programs at the undergraduate and graduate levels have been established. Nevertheless, data science is still in its infancy, which suggests the importance of envisioning what the field might look like in the future and what key steps can be taken now to move data science education in that direction. This study will set forth a vision for the emerging discipline of data science at the undergraduate level. This interim report lays out some of the information and comments that the committee has gathered and heard during the first half of its study, offers perspectives on the current state of data science education, and poses some questions that may shape the way data science education evolves in the future. The study will conclude in early 2018 with a final report that lays out a vision for future data science education.

Data-Driven Innovation Big Data for Growth and Well-Being
Data-Driven Innovation Big Data for Growth and Well-Being

Author: OECD

Publisher: OECD Publishing

Published: 2015-10-06

Total Pages: 456

ISBN-13: 9264229353

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This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.