Report to the President's research committee on social trends on social statistics in the United States.

Vol. I. Next steps in the development of social statistics, by S. A. Rice and collaborators.--vol. II. A guide to the statistics of social trends in the United States, by Florence Du Bois.--vol. III. Guides to vital statistics in the United States, by Joseph V. De Porte.--vol. IV. A guide to statistical series relating to wages in the United States, by Meredith B. Givens and Ernestine Wilke.

Economic and social statistics,

Includes bibliography.

Poverty in Baltimore and its causes: study of social statistics in the city of Baltimore for the years 1916-1917.

Text on p. [2] and [3] of cover.

A Framework for Citizen-Centred Social Statistics and Analysis (Working Paper 48)

Economic policy-making has long been more integrated than social policy-making in part because the statistics and much of the analysis that supports economic policy are based on a common conceptual framework – the system of national accounts. People interested in economic analysis and economic policy share a common language of communication, one that includes both concepts and numbers. This paper examines early attempts to develop a system of social statistics that would mirror the system of national accounts, particular the work on the development of social accounts that took place mainly in the 60s and 70s. It explores the reasons why these early initiatives failed but argues that the preconditions now exist to develop a new conceptual framework to support integrated social statistics – and hence a more coherent, effective social policy. Optimism is warranted for two reasons. First, we can make use of the radical transformation that has taken place in information technology both in processing data and in providing wide access to the knowledge that can flow from the data. Second, the conditions exist to begin to shift away from the straight jacket of government-centric social statistics, with its implicit assumption that governments must be the primary actors in finding solutions to social problems. By supporting the decision-making of all the players (particularly individual citizens) who affect social trends and outcomes, we can start to move beyond the sterile, ideological discussions that have dominated much social discourse in the past and begin to build social systems and structures that evolve, almost automatically, based on empirical evidence of ‘what works best for whom’. The paper describes a Canadian approach to developing a framework, or common language, to support the evolution of an integrated, citizen-centric system of social statistics and social analysis. This language supports the traditional social policy that we have today; nothing is lost. However, it also supports a quite different social policy world, one where individual citizens and families (not governments) are seen as the central players – a more empirically-driven world that we have referred to as the ‘enabling society’.

A system of indicators for monitoring social cohesion in Latin America

Includes bibliography

Establishing social statistical databases for evidenced-based social policy formulation in the Caribbean

Includes bibliography

Report of the training workshop on the ECLAC methodology for assessing the macroeconomic, social and environmental impacts of natural disasters

.--Attendance.--Opening.--Agenda.--Special aspects of disasters in the context of small island States in the Caribbean.--Methodological and conceptual aspects of assessment.--Sector evaluation.--Infrastructure.--Economic (productive) sectors.--Information systems.--Effects of damages.--Institutional capacity.--Definition of the reconstruction strategy.--Closing remarks by presenters of the methodology.--Feedback, critique and comments on the ECLAC methodology.--Disaster assessment experiences.--Policy implications.--Follow-up.

Basic statistics of the Community. Comparison with some European countries, Canada, the United States of America and the Union of Soviet Socialist Republics 1965. Sixth edition

Population; labour force; national product; agriculture; energy; industry; transport; external trade; social statistics; standard of living; trends of major economic indicators in the countries of the Community; supplementary statistics on iron and steel-trends from 1959-64.

Basic Statistics of the Community. Comparison with some European countries, the United States of America and with the Union of Socialist Soviet Republics. Fifth Edition. November 1964

Population; labour force; national product; agriculture; energy; industry; transport; external trade; social statistics; standar5d of living; trends of major economic indicators in the countries of the community; supplementary statistics on iron and steel-trends from 1956-63

Public assistance statistics.

Mode of access: Internet.

The Olivia Framework:Concepts for Use in Finely-Grained, Integrated Social Policy Analysis (Working Paper 45)

The Olivia framework is a set of concepts and measures that, when mature, will allow users to describe, in a consistent and integrated manner, everything about individuals and institutions that is of potential interest to social policy. The present paper summarizes the current stage of development in achieving this highly ambitious goal. The current version of the framework supports analysis of social trends and policy responses from many perspectives: • The point-in-time, resource-flow perspectives that underlie most traditional, economics-based policy analysis. • Life-course perspectives, including both transitions/trajectories analysis and asset-based analysis. • Spatial perspectives that anchor people in space and history and that provide a link to macro-analysis. • The perspective of the purposes/goals of individuals and institutions, including the objectives of different types of government programming. The concepts of the framework, which are all potentially measurable, provide a language that can support integrated analysis in all these areas at a much finer level of description than is customary. It provides a language that is especially well suited for analysis of the incremental policy changes that are typical of a mature welfare state. It supports both qualitative and quantitative analysis, enabling some integration between the two. It supports citizen-centric as well as a government-centric view of social policy. In its current version, the concepts are most highly developed as they related to social policies as they related to labour markets, equality and social integration, care-giving, immigration, income security, sustainability, and social and economic well-being more generally. However the paper points to likely extensions in the areas of health, justice and safety.

GIS-integrated mathematical modeling of social phenomena at macro- and micro- levels—a multivariate geographically-weighted regression model for identifying locations vulnerable to hosting terrorist safe-houses: France as case study

Adaptability and invisibility are hallmarks of modern terrorism, and keeping pace with its dynamic nature presents a serious challenge for societies throughout the world. Innovations in computer science have incorporated applied mathematics to develop a wide array of predictive models to support the variety of approaches to counterterrorism. Predictive models are usually designed to forecast the location of attacks. Although this may protect individual structures or locations, it does not reduce the threat—it merely changes the target. While predictive models dedicated to events or social relationships receive much attention where the mathematical and social science communities intersect, models dedicated to terrorist locations such as safe-houses (rather than their targets or training sites) are rare and possibly nonexistent. At the time of this research, there were no publically available models designed to predict locations where violent extremists are likely to reside. This research uses France as a case study to present a complex systems model that incorporates multiple quantitative, qualitative and geospatial variables that differ in terms of scale, weight, and type. Though many of these variables are recognized by specialists in security studies, there remains controversy with respect to their relative importance, degree of interaction, and interdependence. Additionally, some of the variables proposed in this research are not generally recognized as drivers, yet they warrant examination based on their potential role within a complex system. This research tested multiple regression models and determined that geographically-weighted regression analysis produced the most accurate result to accommodate non-stationary coefficient behavior, demonstrating that geographic variables are critical to understanding and predicting the phenomenon of terrorism. This dissertation presents a flexible prototypical model that can be refined and applied to other regions to inform stakeholders such as policy-makers and law enforcement in their efforts to improve national security and enhance quality-of-life.