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With the recent expansion of urban greening interventions, the definition of spatial indicators to measure the provision of urban greenery has become of pivotal importance in informing the policy-design process. By analyzing the stability…

Physics and Society · Physics 2023-08-11 Alice Battiston , Rossano Schifanella

Urban morphology has a significant impact on sustainable urban outcomes in the ecological, social, and economic sectors. Nonetheless, academics lack clarity and consensus on how to quantify urban morphology indicators, which impedes…

Physics and Society · Physics 2025-08-13 Mahshid Gorjian

This paper explores the relationship between author-level bibliometric indicators and the researchers the "measure", exemplified across five academic seniorities and four disciplines. Using cluster methodology, the disciplinary and…

Digital Libraries · Computer Science 2016-10-06 Lorna Wildgaard

It is hard to establish whether a company supports internal sustainability efforts (ISEs) like gender equality, diversity, and general staff welfare, not least because of lack of methodologies operationalizing these internal sustainability…

Social and Information Networks · Computer Science 2023-04-14 Indira Sen , Daniele Quercia , Licia Capra , Matteo Montecchi , Sanja Šćepanović

In this work we propose a framework to construct Market-Implied Sustainability (MIS) scores for individual firms by exploiting fund-level sustainability classifications and granular portfolio holdings. The central idea is that the relative…

Portfolio Management · Quantitative Finance 2026-03-17 Rosella Giacometti , Gabriele Torri , Marco Bonomelli , Davide Lauria

Entropy measures of probability distributions are widely used measures in ecology, biology, genetics, and in other fields, to quantify species diversity of a community. Unfortunately, entropy-based diversity indices, or diversity indices…

Populations and Evolution · Quantitative Biology 2014-08-14 Karim T. Abou-Moustafa

Introduction. It is well known that social contact patterns differ from country to country. This variation coincides with significant socioeconomic heterogeneity that complicates the design of effective non-pharmaceutical interventions.…

Dynamical Systems · Mathematics 2023-03-31 Evans Kiptoo Korir , Zsolt Vizi

In the context of cluster analysis and graph partitioning, many external evaluation measures have been proposed in the literature to compare two partitions of the same set. This makes the task of selecting the most appropriate measure for a…

Machine Learning · Computer Science 2021-02-09 Nejat Arinik , Vincent Labatut , Rosa Figueiredo

Background Sepsis is one of the most life-threatening circumstances for critically ill patients in the US, while a standardized criteria for sepsis identification is still under development. Disparities in social determinants of sepsis…

Machine Learning · Computer Science 2021-12-16 Hanyin Wang , Yikuan Li , Andrew Naidech , Yuan Luo

Decomposition analysis is a critical tool for understanding the social and spatial dimensions of segregation and diversity. In this paper, I highlight the conceptual, mathematical, and empirical distinctions between segregation and…

Methodology · Statistics 2024-02-22 Elizabeth Roberto

The traditional approach to the quantitative study of segregation is to employ indices that are selected by ``desirable properties''. Here, we detail how information theory underpins entropy-based indices and demonstrate how desirable…

Physics and Society · Physics 2022-12-15 Boris Barron , Yunus A. Kinkhabwala , Chriss Hess , Matthew Hall , Itai Cohen , Tomás A. Arias

The Sustainable Development Goals (SDGs) were introduced by the United Nations in order to encourage policies and activities that help guarantee human prosperity and sustainability. SDG frameworks produced in the finance industry are…

Machine Learning · Computer Science 2023-08-08 Qingzhi Hu , Daniel Daza , Laurens Swinkels , Kristina Ūsaitė , Robbert-Jan 't Hoen , Paul Groth

Prevention and intervention work done within community settings often face unique analytic challenges for rigorous evaluations. Since community prevention work (often geographically isolated) cannot be controlled in the same way other…

Social and Information Networks · Computer Science 2018-01-29 Hsuan-Wei Lee , G. Robin Gauthier , Jerreed D. Ivanich , Lisa Wexler , Bilal Khan , Kirk Dombrowski

Understanding the community conditions that best support universal access and improved childhood outcomes allows ultimately to improve decision-making in the areas of planning and investment across the early stages of childhood development.…

Computers and Society · Computer Science 2019-03-26 Cody Griffith , Varoon Mathur , Catherine Lin , Kevin Zhu

Composite development indicators used in policy making often subjectively aggregate a restricted set of indicators. We show, using dimensionality reduction techniques, including Principal Component Analysis (PCA) and for the first time…

General Economics · Economics 2020-03-27 Anshul Verma , Orazio Angelini , Tiziana Di Matteo

Implementing circular economy (CE) principles is increasingly recommended as a convenient solution to meet the goals of sustainable development. New tools are required to support practitioners, decision-makers and policy-makers towards more…

Computers and Society · Computer Science 2019-01-10 Michael Saidani , Bernard Yannou , Yann Leroy , François Cluzel , Alissa Kendall

As sustainability becomes an increasing priority throughout global society, academic and research institutions are assessed on their contribution to relevant research publications. This study compares four methods of identifying research…

Digital Libraries · Computer Science 2022-12-06 Philip James Purnell

Cities become mission-critical zones during pandemics and it is vital to develop a better understanding of the factors that are associated with infection levels. The COVID-19 pandemic has impacted many cities severely; however, there is…

The financial industry should be involved in mitigating the risk of downturns in the financial wellbeing indices around the world by implementing well-developed financial tools such as insurance instruments on the underlying wellbeing…

Portfolio Management · Quantitative Finance 2023-03-13 Thilini V. Mahanama , Abootaleb Shirvani , Svetlozar Rachev

Peer-grouping is used in many sectors for organisational learning, policy implementation, and benchmarking. Clustering provides a statistical, data-driven method for constructing meaningful peer groups, but peer groups must be compatible…

Applications · Statistics 2021-07-14 Daniel William Kennedy , Jessica Cameron , Paul Pao-Yen Wu , Kerrie Mengersen