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Futures studies, futures research, futurism research, futurism, or futurology is the systematic, interdisciplinary and holistic study of social/technological advancement, and other environmental trends; often for the purpose of exploring how people will live and work in the future.
Future miniaturization of transistors Cashierless store: Limited commercialization Civic technology: Research and development, projects Smart cities, more responsive government Smart city, e-democracy, open data, intelligent environment: Digital scent technology: Diffusion Smell-O-Vision, iSmell: DNA digital data storage: Experiments Mass data ...
The objective of these models is to assess the possibility that a unit in another sample will display the same pattern. Predictive model solutions can be considered a type of data mining technology. The models can analyze both historical and current data and generate a model in order to predict potential future outcomes. [14]
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
Future technology-related topics include: Emerging technologies , technologies that are perceived as capable of changing the status quo Futures studies (also called futurology), the study of postulating possible, probable, and preferable futures and the worldviews and myths that underlie them
The materials in the Data Science and Predictive Analytics (DSPA) textbook have been peer-reviewed in the Journal of the American Statistical Association, [5] International Statistical Institute’s ISI Review Journal, [3] and the Journal of the American Library Association. [4] Many scholarly publications reference the DSPA textbook. [6] [7]
The suit comes as tensions are growing over the future of the department, which gives out billions in grants for K-12 schooling programs and administers more than $1.5 trillion in federal student ...
The Fourth Paradigm: Data-intensive Scientific Discovery is a 2009 anthology of essays on the topic of data science.Editors Tony Hey, Kristin Michele Tolle, and Stewart Tansley claim in the book's description that it presents the first broad look at the way that increasing use of data is bringing a paradigm shift to the nature of science.