Academic literature on the topic 'Social indicators'

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Journal articles on the topic "Social indicators"

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Costa, Giuseppe, and Teresa Spadea. "I dati per la misura delle disuguaglianze di salute: adeguatezza, accessibilitÀ, integrazione." SALUTE E SOCIETÀ, no. 1 (March 2009): 43–57. http://dx.doi.org/10.3280/ses2009-001005.

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- Scientific literature provides substantial evidence on how socioeconomic circumstances influence health, showing that this association holds with any indicator of socioeconomic position, independently of the theoretical approach on which is based. The open question on the indicators used to represent socioeconomic position is: are they equal proxy of a third variable, social classification or stratification, or do they capture specific dimensions of this stratification, the impact of which would be measurable independently of the others? This paper gives a tentative answer, from the epidemiological point of view, examining the indicators of socioeconomic position most used in health research (education, employment status, occupational class, income and goods), particularly focusing on their meaning, i.e. what they intend to measure, together with how data are elicited and the validity and limitations of the indicators. Keywords: indicators, education, social class, income, sources, epidemiology, social determinants of health. Parole chiave: indicatori, istruzione, classe sociale, reddito, fonti, epidemiologia, determinanti sociali di salute.
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Vogel, Joachim. "Social indicators and social reporting." Statistical Journal of the United Nations Economic Commission for Europe 11, no. 4 (December 1, 1994): 241–60. http://dx.doi.org/10.3233/sju-1994-11402.

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Unceta, Alfonso, Javier Castro-Spila, and Javier García Fronti. "Social innovation indicators." Innovation: The European Journal of Social Science Research 29, no. 2 (January 12, 2016): 192–204. http://dx.doi.org/10.1080/13511610.2015.1127137.

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FELSON, MARCUS. "Social Indicators for Criminology." Journal of Research in Crime and Delinquency 30, no. 4 (November 1993): 400–411. http://dx.doi.org/10.1177/0022427893030004003.

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Driskell, James E., Eduardo Salas, and Tripp Driskell. "Social Indicators of Deception." Human Factors: The Journal of the Human Factors and Ergonomics Society 54, no. 4 (May 11, 2012): 577–88. http://dx.doi.org/10.1177/0018720812446338.

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Carley, Michael, and Eduardo Bustelo. "Social indicators and development." Project Appraisal 1, no. 4 (December 1986): 266–68. http://dx.doi.org/10.1080/02688867.1986.9726580.

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Kesteloot, Hugo. "Social indicators of development." Health Policy 38, no. 2 (November 1996): 132–33. http://dx.doi.org/10.1016/0168-8510(96)81524-7.

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Vári, Anna, Zoltán Ferencz, Miklós Oláh, György Pataki, Bálint Csatári, Zsuzsanna Flachner, Orsolya Pallaghy, and Tibor Várkonyi. "Indicators of social sustainability." Tájökológiai Lapok 6, no. 1-2 (August 11, 2008): 107–17. http://dx.doi.org/10.56617/tl.4152.

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Rahmat Safe’i, Irwan Sukri Banuwa, Wahyu Hidayat, Rudi Hilmanto, and Rommy Qurniati. "Formulation of Quality Assurance Social Indicators in Community Forest Health Assessment." Journal of Sylva Indonesiana 7, no. 01 (February 29, 2024): 48–54. http://dx.doi.org/10.32734/jsi.v7i01.13710.

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Community forests provide benefits to their functions and roles in meeting community needs and environmental sustainability based on economic, social, and ecological perspectives. Social indicators play this role in the sustainability of community forest health. This study aims to obtain a weighted value (quality assurance) of social indicators in assessing the health of community forests. The stages of research carried out included, among others, conducting interviews with questionnaire instruments with respondents, determining the priority scale with the Analytic Hierarchy Process (AHP) method, and determining eigenvalues with the Analytic Networking Process (ANP) method. Based on the results of the study, four social indicators can describe the health condition of community forests: education indicators, employment indicators, participation indicators, and institutional indicators. These indicators have the same level of importance, where the eigenvalues obtained do not have significant differences. It means that community forest farmers have realized that social indicators can support environmental sustainability in aspects of forest health. Thus, the weighted values obtained by social indicators from the highest to the lowest are indicator participation (0.29), education indicator (0.27), institutional indicator (0.23), and employment indicator (0.21). The formation of farmer groups needs to be done to improve local institutions. Therefore, they can support community forest management regulations
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McEwin, Marion. "Social indicators and social statistics in Australia." Statistical Journal of the United Nations Economic Commission for Europe 12, no. 3-4 (October 1, 1995): 309–18. http://dx.doi.org/10.3233/sju-1995-123-409.

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Dissertations / Theses on the topic "Social indicators"

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Gartrell, Charles M. "Enhancing Recommender Systems Using Social Indicators." Thesis, University of Colorado at Boulder, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3635830.

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Recommender systems are increasingly driving user experiences on the Internet. In recent years, online social networks have quickly become the fastest growing part of the Web. The rapid growth in social networks presents a substantial opportunity for recommender systems to leverage social data to improve recommendation quality, both for recommendations intended for individuals and for groups of users who consume content together. This thesis shows that incorporating social indicators improves the predictive performance of group-based and individual-based recommender systems. We analyze the impact of social indicators through small-scale and large-scale studies, implement and evaluate new recommendation models that incorporate our insights, and demonstrate the feasibility of using these social indicators and other contextual data in a deployed mobile application that provides restaurant recommendations to small groups of users.

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Chan, Wai, and 陳衛. "Social indicators for health in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1989. http://hub.hku.hk/bib/B31975689.

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Richard, Florian. "Beyond Corporate Social Responsibility Reporting and Indicators." Thesis, KTH, Mark- och vattenteknik (flyttat 20130630), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171851.

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Over the past few years, the expectations of stakeholders regarding Sustainable Development have strengthened the importance of CSR or Sustainable Development practices in companies. In France, NRE laws and more recently the Grenelle Environment Forum required from companies to disclose and publish information on environmental, social and societal issues. On the international level, the Global Reporting Initiative gives a framework for CSR reporting. Companies tend to improve their CSR policies by setting action plans, objectives, and publishing dedicated reports. Subsequently, to assess their performance, companies need to design specific indicators in order to measure environmental, social and societal information. It is all the more challenging that intangible information, such as biodiversity or human capital, are very difficult to evaluate. Still, when comparing the performance of companies, even in the same sector of activity, it appears that indicators are actually very hetero-geneous and do not allow to perform a proper comparison. This thesis will explore current practices of CSR or Sustainable Development reporting and more specifically the use of indicators in the private sector as well as their limitations and areas for improvement. A mutli-method approach, including a literature review, a case-study and an interview, has been used to perform the research.
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Monteiro, Pedro Miguel Pedrosa dos Santos. "Deprivation indicators on poverty and social exclusion." Master's thesis, Instituto Superior de Economia e Gestão, 2010. http://hdl.handle.net/10400.5/2925.

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Mestrado em Economia e Políticas Públicas
The purpose of this dissertation is to study the material deprivation indicators applied to the most recent conceptions of poverty and social exclusion, namely in the context of the European Union enlargement towards Eastern Europe. Social indicators are useful instruments for monitoring and evaluating a country’s level of development, providing means to assess the results and impacts of the politics pursued. In the framework of Poverty there has been an effort to introduce a wider and more complete concept of poverty in the construction of the indicators, pointing out the multidimensional nature of poverty, in opposition to the single use of monetary indicators, based on inputs, such as the measures of income. In recent years, with the generalization of the use of deprivation indicators, there has been a complementary approach to poverty measurement, focused on non-monetary measures that are concerned with the capacity of individuals to reach certain patterns of life and well-being. Deprivation indicators currently used allow us to measure the lack of material goods, but also to evaluate restrictions on the access to social life. Consistent Poverty is defined as the situation in which the incomes of an individual are inferior to a predetermined threshold, and simultaneously, there is a marginalization towards another dimension of daily life, such as having financial difficulties (to solve debt) or housing degradation. Through an empirical analysis, we will observe the way in which income indicators combine with deprivation indicators, in order to identify and suggest the adequate indicators and methodology for the measurement of poverty and social exclusion, in Portugal and in the European Union.
O objectivo desta dissertação é estudar os indicadores de privação aplicados às concepções de pobreza e exclusão social mais recentes, nomeadamente no contexto do alargamento da União Europeia a leste. Os indicadores sociais são instrumentos indispensáveis na avaliação e monitorização do nível de desenvolvimento de um país, permitindo estimar os resultados e impactos das políticas prosseguidas. No âmbito da Pobreza, tem sido desenvolvido um trabalho no sentido de introduzir conceitos mais amplos e completos de pobreza na construção dos indicadores, salientando a sua natureza multidimensional, em contraste com o simples uso dos indicadores monetários baseados em “inputs”, como são, por exemplo, as medidas de rendimento. Nos últimos anos, a generalização do uso dos indicadores de privação tem levado à implementação de uma abordagem complementar na medição da pobreza baseada em medidas não monetárias relacionadas com a capacidade dos indivíduos em atingir determinados padrões de vida e bem-estar. Os indicadores de privação usados actualmente permitem, de uma forma geral, medir a capacidade de aquisição de bens e serviços, mas também, apreciar restrições no acesso à vida em sociedade. A Pobreza Consistente é definida como a situação em que os rendimentos de um indivíduo são inferiores a um determinado patamar e, simultaneamente, se verifica uma marginalização em relação a outras dimensões da vida quotidiana, como sejam as dificuldades financeiras (em pagar empréstimos) ou a degradação habitacional. Por meio de uma análise empírica, iremos observar de que forma se ajustam e combinam os indicadores de rendimentos e os indicadores de privação, no intuito de identificar as metodologias e os indicadores mais adequados na medição da pobreza e exclusão social, em Portugal e na União Europeia.
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Yan, Xiaojuan. "Stock market valuation of corporate social responsibility indicators." Thesis, University of Exeter, 2012. http://hdl.handle.net/10036/3594.

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Renneboog et al (2008) argue that it remains to be seen whether corporate social responsibility (CSR) can be priced. In light of this, this thesis tests the performance and market valuation of CSR indicators by using a comprehensive set of KLD indicators. Chapter Three of this thesis examines the effect of CSR on financial performance by incorporating CSR into the investment process. As no clear break point is found for the normalised KLD score, the net KLD score is used as an alternative portfolio metric. In addition, most KLD indicators are found to have insignificant alphas for the high-scoring, low-scoring, and long-short portfolios—meaning that investors do not earn abnormal returns through a long-short strategy. Moreover, insignificant alphas are recorded for most of the indicators under the best-in-class approach—meaning that the application of industry classification does not affect results. Finally, both the conditional Ferson and Schadt (1996) model and conditional three-factor model are used as robustness checks, with most indicators having insignificant alphas for these conditional models. As such, the results imply that there is neither outperformance nor underperformance when using portfolios formed with CSR scores; however, there are significant differences in factor loadings between high-scoring and low-scoring CSR portfolios. Chapter Four uses a framework consistent with the Peasnell (1982) and Ohlson (1995) model to examine whether CSR is reflected in share prices. The CSR indicator is treated as the “other information” variable, and the association between CSR and market price is estimated by controlling for book value of equity, net income and dividends. Although the market is found to value different KLD indicators differently, most of the indicators are found to have positive impact on market value (except for corporate governance and human rights). R&D and advertising expenditure are both added to the valuation model for robustness checking purposes. Some of the CSR indicators—and especially for the case of environment—are not valued during the earlier stages, but become increasingly valued over time. The ten industries are also found to have varying effects on market valuation. In summary, high-scoring CSR firms display higher valuations than low-scoring CSR firms, and thus it can be concluded that a socially responsible agenda does not conflict with maximising shareholder value. Since most of the CSR indicators in Chapter Four lead to positive market price valuations, Chapter Five aims to disaggregate the value effect into the separate components of ROE ratio, the implied cost of capital (ICC) and growth rate. Three different methodologies are used to test the relationship between CSR, ICC and the long-run growth rate. The relationship between CSR and growth rate is positive with all of the methodologies. However, the different methodologies return differing results for the relationship between CSR and ICC, which may be due to the different assumptions made by each approach. Furthermore, it suggests that long-run growth rate differences in general may be more important than ICC differences. Finally, most KLD indicators are found to have significantly higher P/V and ROE1 ratios for the high-scoring CSR portfolios than for the low-scoring CSR portfolios.
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De, Jongh Derick. "Indicators of corporate social performance in South Africa." Thesis, University of Pretoria, 2003. http://hdl.handle.net/2263/27494.

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Moller, Valerie, Cecil Wele Manona, Hees C. Van, E. Pillay, and A. Tobi. "Living in Grahamstown East/Rini: a social indicators report." Rhodes University, Institute of Social and Economic Research, 2001. http://hdl.handle.net/10962/d1010769.

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[From the preface]: The ‘Living in Grahamstown East/Rini’ project takes its title from a series of reports on social indicators initiated by Statistics South Africa. The popular series aims to communicate to ordinary people the statistics on living conditions in various parts of the country. The first two booklets in the series, Living in South Africa and Living in Gauteng, were based on survey data for South Africa and Gauteng Province (CSS: 1996; 1997). In similar vein, this booklet presents statistics on living conditions in Grahamstown East/Rini for ready reference by community organisations, local planning and policy-makers, scholars, and the general public. [From the introduction]: This report is intended to serve the needs of information users. The source of information is a representative sample survey of 862 Grahamstown East/Rini households conducted in May 1999. The report serves as a reference work for municipal planners and policymakers, community organisations, and interested citizens. It is hoped that the reported social indicators will be useful for drawing up business plans for community development projects. The information in this report is mainly factual. It is based on self-reports collected from households in Grahamstown East/Rini. In time, the facts contained in this report will date. They will then gain historical value for scholars with an interest in learning "how things were" to compare the situation in Grahamstown East/Rini in 1999 with later developments and changes in living conditions and lifestyles
This was edited by Valerie Møller, with contributions by Cecil W. Manona, Charlotte van Hees, Edmund Pillay and Andile Tobi
Digitised by Rhodes University Library on behalf of the Institute of Social and Economic Research (ISER)
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Potts, Tavis William. "Sustainability indicators in marine capture fisheries." Connect to this title online, 2003. http://eprints.utas.edu.au/234/.

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Mann, Monica Constance. "Verbal and nonverbal expressions as indicators of social and emotional functioning among social anhedonics." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3594.

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Thesis (M.A.) -- University of Maryland, College Park, 2006.
Thesis research directed by: Dept. of Psychology. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Duarte, Bruno Miguel Gonçalves. "Impact of social economic indicators on RSI incidence and success." Master's thesis, NSBE - UNL, 2009. http://hdl.handle.net/10362/9473.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics
In this project we study the influence of socio-economic characteristics on the percentage of beneficiaries of “Rendimento Social de Inserção” (RSI) and on the percentage of exits from the RSI program that occur due to a change in income. The results indicate that the % of beneficiaries tend to increase with unemployment, younger people and reduced families, whereas it tends to reduce with high education levels and GDP. As for the % of exists from the RSI, the results we obtained show evidence that, on the one hand, they tend to increase with higher education, and on the other hand, they tend to reduce with unemployment, reduced income of the beneficiaries before entering the program, nuclear families and Local Purchasing Power.
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Books on the topic "Social indicators"

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Manson, Sharon. Healthy community indicators: Lessons from the social indicator movement. Vancouver, B.C: Centre for Human Settlements, University of British Columbia, 1990.

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Subramanian, S. Social Values and Social Indicators. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0428-7.

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Trinidad and Tobago. Central Statistical Office., ed. Social indicators, 1985-1992. Port of Spain, Trinidad and Tobago: Office of the Prime Minister, Central Statistical Office, 1996.

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Office, United Nations Statistical, ed. Handbook on social indicators. New York: United Nations, 1989.

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International Bank for Reconstruction and Development. Socio-Economic Data Division., ed. Social indicators of development 1994. Washington, D.C: John Hopjins Press, 1994.

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Esping-Andersen, Gøsta. Social indicators and welfare monitoring. Geneva, Switzerland: United Nations Research Institute for Social Development, 2000.

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Philippines. National Economic and Development Authority. and Maintenance of the ESIA Indicator System Project., eds. 1986 economic and social indicators. [Philippines]: Maintenance of the ESIA Indicator System Project, National Economic and Development Authority, 1987.

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Bank, World, ed. Social indicators of development, 1994. Baltimore, MD: Published for the World Bank, by Johns Hopkins University Press, 1994.

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Haley, Sharman. Social indicators for Arctic mining. Anchorage, Alaska: Institute of Social and Economic Research, University of Alaska Anchorage, 2011.

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M, Sönmez, ed. Turkey: Economic and social indicators. [Ankara]: [EMA], 1990.

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Book chapters on the topic "Social indicators"

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Michalos, Alex C. "Social Indicators." In Encyclopedia of Quality of Life and Well-Being Research, 6086–88. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2764.

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Scott, Wolf. "Social Indicators." In Social Problems and Mental Health, 133–37. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003261919-40.

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Michalos, Alex C. "Social Indicators." In Encyclopedia of Quality of Life and Well-Being Research, 6583–85. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_2764.

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Cassatella, Claudia. "Assessing Visual and Social Perceptions social perception of Landscape." In Landscape Indicators, 105–40. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0366-7_6.

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Herrmann, Peter, Laurent J. G. van der Maesen, and Alan Walker. "Social Quality Indicators." In Social Quality, 94–115. London: Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1007/978-0-230-36109-6_5.

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Michalos, Alex C. "Social Indicators Research." In Encyclopedia of Quality of Life and Well-Being Research, 6088–91. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2765.

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Nelken, David. "Criticising Social Indicators." In Organized Crime, Corruption and Crime Prevention, 77–82. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01839-3_10.

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Michalos, Alex C. "Social Indicators Research." In Encyclopedia of Quality of Life and Well-Being Research, 6585–88. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_2765.

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Ferriss, Abbott L. "Social Acceptance." In Social Indicators Research Series, 11–20. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9148-2_2.

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Antonucci, Toni C., and Kristine J. Ajrouch. "Social Resources." In Social Indicators Research Series, 49–64. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5682-6_4.

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Conference papers on the topic "Social indicators"

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Ackerman, Mark S., and Brian Starr. "Social activity indicators." In the 8th annual ACM symposium. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/215585.215969.

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Feng, Fuli, Liqiang Nie, Xiang Wang, Richang Hong, and Tat-Seng Chua. "Computational Social Indicators." In SIGIR '17: The 40th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3077136.3080773.

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Berlanga, Rafael, Indira Lanza-Cruz, and Maria Jose Aramburu. "Quality Indicators for Social Business Intelligence." In 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2019. http://dx.doi.org/10.1109/snams.2019.8931862.

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"Social media monitoring for health indicators." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.k1.robinson.

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Wollscheid, Sabine, and Vera Schwach. "Commissioned public R&D publications in the social sciences. A document analysis of societal impacts of research." In 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). International Conference on Science, Technology and Innovation Indicators, 2023. http://dx.doi.org/10.55835/6437db50a4b8003b07e3f4b9.

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This paper investigates the impact of social sciences, a recent field for considering the societal impacts of science. It is based on a purposeful selection of R&D publications, commissioned by Norwegian ministries, governmental agencies, and public bodies, aimed for the application for public sector. The concept societal impact is here defined as active and potential influential, and interactions between public research organisations (PRO) and governmental agencies and other public bodies in the areas of education and social welfare. We argue that the interactions lead to favourable outputs. We examine interactions, i.e., exchanges between researchers and stakeholders from governmental agencies and public bodies, in which scientifically robust and societally relevant knowledge is constructed and valued. In investigating interactions, we focus on qualitative and quantitative indicators of direct social interactions and indirect interactions through texts (see e.g., Spaape & van Drooge, 2011).
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Irvine, John, Janet Lepanto, John Regan, and Mon Young. "Deriving economic and social indicators from imagery." In 2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2012). IEEE, 2012. http://dx.doi.org/10.1109/aipr.2012.6528213.

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Bluszcz, Anna. "SOCIAL DEVELOPMENT INDICATORS - QUALITY OF LIFE INDEX." In 4th SGEM International Multidisciplinary Scientific Conferences on SOCIAL SCIENCES and ARTS Proceedings. STEF92 Technology, 2017. http://dx.doi.org/10.5593/sgemsocial2017/33/s12.089.

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Surbeck, Cristiane Q., and Helene Hilger. "Social Sustainability and Important Indicators in Infrastructure." In World Environmental and Water Resources Congress 2014. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413548.208.

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Dotsenko, Angelina, and Tatiana Shapovalova. "Comprehensive Аnalysis of the System of Statistical Indicators of the Labor Market." In SOCIOLOGY – SOCIAL WORK AND SOCIAL WELFARE – REGULATION OF SOCIAL PROBLEMS. NDSAN (MFC - coordinator of the NDSAN), 2020. http://dx.doi.org/10.32437/sswswproceedings-2020.adts.

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Sander, Tom, and Phoey-Lee Teh. "Determining the indicators of social capital theory to social network sites." In 2014 3rd International Conference on User Science and Engineering (i-USEr). IEEE, 2014. http://dx.doi.org/10.1109/iuser.2014.7002714.

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Reports on the topic "Social indicators"

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Odası, İstanbul Ticaret. Social and economic indicators of İstanbul. İstanbul, Türkiye: İstanbul Ticaret Üniversitesi Kütüphane ve Dokümantasyon Daire Başkanlığı, January 2011. http://dx.doi.org/10.63057/ticaretrapor.2024.87.

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Yıldırım, Tolga. Social and economic indicators of İstanbul 2017. İStanbul, Türkiye: İstanbul Ticaret Üniversitesi Kütüphane ve Dokümantasyon Daire Başkanlığı, January 2018. http://dx.doi.org/10.63057/ticaretrapor.2024.34.

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Babat, Bihter. Social and economic indicators of İstanbul 2021. İStanbul, Türkiye: İstanbul Ticaret Üniversitesi Kütüphane ve Dokümantasyon Daire Başkanlığı, January 2022. http://dx.doi.org/10.63057/ticaretrapor.2024.33.

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Nordic Council of Ministers, Nordic Council of Ministers. Social Indicators in the Forest Sector in Northern Europe. Nordic Council of Ministers, December 2013. http://dx.doi.org/10.6027/tn2013-584.

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Rose, Andree E., and Christina M. Hesse. Indicators of Suicide Found on Social Networks: Phase 2. Fort Belvoir, VA: Defense Technical Information Center, October 2015. http://dx.doi.org/10.21236/ad1007350.

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Hesse, Christina M., Craig Bryan, and Andree E. Rose. Indicators of Suicide Found on Social Networks: Phase 1. Fort Belvoir, VA: Defense Technical Information Center, October 2015. http://dx.doi.org/10.21236/ada633259.

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Futterman, Robert, Mario Orlandi, and Steven Schinke. Handbook of Social Climate Indicators for the U.S. Army. Fort Belvoir, VA: Defense Technical Information Center, August 1991. http://dx.doi.org/10.21236/ada243405.

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Elmer, Matt, Chris Miller, Matt Reeves, and Travis Warziniack. Forest vulnerability assessments—integrating social and ecological indicators and scores. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2023. http://dx.doi.org/10.2737/rmrs-rn-96.

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Corley, Courtney D., Svitlana Volkova, Jeremiah Rounds, Lauren E. Charles-Smith, Joshua J. Harrison, Joshua A. Mendoza, and Keith S. Han. Biosurveillance Using Clinical Diagnoses and Social Media Indicators in Military Populations. Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1345453.

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Camarena, José Andrée, Luciana Galeano, Luis Morano, Jorge Puig, Daniel Riera-Crichton, Carlos Vegh, Lucila Venturi, and Guillermo Vuletin. Fooled by the Cycle: Permanent versus Cyclical Improvements in Social Indicators. Cambridge, MA: National Bureau of Economic Research, August 2019. http://dx.doi.org/10.3386/w26199.

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