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Author: Daniel P. Harrison Publisher: Russell Sage Foundation ISBN: 1610446429 Category : Social Science Languages : en Pages : 99
Book Description
A volume in the Social Science Frontiers series, which are occasional publications reviewing new fields for social science development. These occasional publications seek to summarize recent work being done in particular areas of social research, to review new developments in the field, and to indicate issues needing further investigation. The publications are intended to help orient those concerned with developing current research programs and broadening the use of social science in the policy-making process. A Volume in the Russell Sage Foundation's Social Science Frontiers Series
Author: Daniel P. Harrison Publisher: Russell Sage Foundation ISBN: 1610446429 Category : Social Science Languages : en Pages : 99
Book Description
A volume in the Social Science Frontiers series, which are occasional publications reviewing new fields for social science development. These occasional publications seek to summarize recent work being done in particular areas of social research, to review new developments in the field, and to indicate issues needing further investigation. The publications are intended to help orient those concerned with developing current research programs and broadening the use of social science in the policy-making process. A Volume in the Russell Sage Foundation's Social Science Frontiers Series
Author: Kenneth C. Land Publisher: Russell Sage Foundation ISBN: 1610446593 Category : Social Science Languages : en Pages : 424
Book Description
Deals in comprehensive fashion with a diverse array of objective and subjective social indicators and shows how these indicators can be used, potentially, to inform and perhaps guide social policy. Written with clarity and authority, it will be of paramount interest to those concerned with the interpretation and analysis of social indicators and to those interested in their use. For the former, it serves as an illuminating introduction to some of the analytical tasks that lie ahead in the study of social indicators. For the latter, it provides a solid foundation upon which future policy analysis may be based.
Author: J.S. Armstrong Publisher: Springer Science & Business Media ISBN: 9780792374015 Category : Business & Economics Languages : en Pages : 880
Book Description
This handbook summarises knowledge from experts and empirical studies. It provides guidelines that can be applied in fields such as economics, sociology, and psychology. Includes a comprehensive forecasting dictionary.
Author: National Academies of Sciences, Engineering, and Medicine Publisher: National Academies Press ISBN: 030947387X Category : Social Science Languages : en Pages : 91
Book Description
Beginning in October 2017, the National Academies of Sciences, Engineering, and Medicine organized a set of workshops designed to gather information for the Decadal Survey of Social and Behavioral Sciences for Applications to National Security. The second workshop focused on emerging trends and methods in international security and this publication summarizes the presentations and discussions from this workshop.
Author: Rokia Missaoui Publisher: Springer ISBN: 3319534203 Category : Computers Languages : en Pages : 263
Book Description
The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field.
Author: Tai-hoon Kim Publisher: Springer ISBN: 3642356036 Category : Computers Languages : en Pages : 371
Book Description
This volume constitutes the refereed proceedings of the International Conferences, EL, DTA and UNESST 2012, held as part of the Future Generation Information Technology Conference, FGIT 2012, Kangwondo, Korea, in December 2012. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of education and learning, database theory and application and u- and e-service, science and technology.
Author: Brian Field Publisher: Routledge ISBN: 1351062484 Category : Science Languages : en Pages : 227
Book Description
Originally published in 1987, Forecasting Techniques for Urban and Regional Planning is an introduction to the various analytical techniques which have been developed and applied in urban and regional analysis in planning practice. The subjects covered are population, housing, employment, transport, shopping, recreation, and integrated forecasting. Each technique, placed in the context of policy formulation and political matters, is presented both verbally and mathematically, and it separating characteristic is illustrated with detailed but simple practical examples. The techniques examined are set in a policy context and their practical limitations are identified.
Author: Michael C. Dietze Publisher: Princeton University Press ISBN: 0691160570 Category : Science Languages : en Pages : 284
Book Description
An authoritative and accessible introduction to the concepts and tools needed to make ecology a more predictive science Ecologists are being asked to respond to unprecedented environmental challenges. How can they provide the best available scientific information about what will happen in the future? Ecological Forecasting is the first book to bring together the concepts and tools needed to make ecology a more predictive science. Ecological Forecasting presents a new way of doing ecology. A closer connection between data and models can help us to project our current understanding of ecological processes into new places and times. This accessible and comprehensive book covers a wealth of topics, including Bayesian calibration and the complexities of real-world data; uncertainty quantification, partitioning, propagation, and analysis; feedbacks from models to measurements; state-space models and data fusion; iterative forecasting and the forecast cycle; and decision support. Features case studies that highlight the advances and opportunities in forecasting across a range of ecological subdisciplines, such as epidemiology, fisheries, endangered species, biodiversity, and the carbon cycle Presents a probabilistic approach to prediction and iteratively updating forecasts based on new data Describes statistical and informatics tools for bringing models and data together, with emphasis on: Quantifying and partitioning uncertainties Dealing with the complexities of real-world data Feedbacks to identifying data needs, improving models, and decision support Numerous hands-on activities in R available online
Author: Andrea Ceron Publisher: Routledge ISBN: 1317134133 Category : Political Science Languages : en Pages : 196
Book Description
The importance of social media as a way to monitor an electoral campaign is well established. Day-by-day, hour-by-hour evaluation of the evolution of online ideas and opinion allows observers and scholars to monitor trends and momentum in public opinion well before traditional polls. However, there are difficulties in recording and analyzing often brief, unverified comments while the unequal age, gender, social and racial representation among social media users can produce inaccurate forecasts of final polls. Reviewing the different techniques employed using social media to nowcast and forecast elections, this book assesses its achievements and limitations while presenting a new technique of "sentiment analysis" to improve upon them. The authors carry out a meta-analysis of the existing literature to show the conditions under which social media-based electoral forecasts prove most accurate while new case studies from France, the United States and Italy demonstrate how much more accurate "sentiment analysis" can prove.
Author: Daniel P. Harrison
Author: Daniel P. Harrison
Author: Kenneth C. Land
Author: J.S. Armstrong
Author: National Academies of Sciences, Engineering, and Medicine
Author: Rokia Missaoui
Author: Tai-hoon Kim
Author: Brian Field
Author: Michael C. Dietze
Author: Andrea Ceron
Author: David F. Hendry