生命周期评价与环境伦理

评价材料与环境协调性的生命周期评价方法有环境伦理的哲学基础,是环境伦理的核心观点的科学体现。然而,从科学角度来看的生命周期评价方法的局限性则未必真是它的局限性,在对其作出环境伦理学的说明之后,有些局限性不过是哲学与科学的内在矛盾的体现,是科学自身的局限性的折射而已。     

文化差异对国际商务交流活动的影响

通过讨论在不同文化环境下,国际商务活动呈现的差异,从微观的角度分析文化差异在人际交流、商务洽谈、管理风格、商务决策和企业结构等方面对国际商务交流的影响。     

Identifying and implementing pathways for organizational change – using the Framework for the Assessment of Children in Need and their Families as a case example

Change within social work organizations is incessant. This has implications for senior managers and elected members who have to manage these changes. The Department of Health has introduced new guidance entitled the Framework for the Assessment of Children in Need and their Families ( Department of Health 1999a ). The guidance is based on a number of principles that require an attitudinal shift in terms of assessing ways of safeguarding children and promoting their welfare. This paper describes strategic approaches to the effective introduction of the framework within social services departments and other child welfare organizations. Two models have been adapted from practice: the actual framework for assessing children and their families and the Protchaska and DiClementi model of change. These models complement each other. The adapted Assessment Framework provides a structure to assess the readiness of the organization for the implementation of the new framework. The model of change provides a schema for planning, implementing and reviewing the introduction and operation of the Framework for the Assessment of Children in Need and their Families. Although the focus of the paper is the introduction of the new guidance , the models can be utilized by senior managers in any social care organization who are facilitating major changes in the organization.     

Using theory of change as a framework for examining community context and philanthropic impact

As part of the process of examining their theory of change (TOC) and reflecting on grant making activity, one Midwestern foundation employed a multipronged strategy to assess 209 community-based mental health grants across seven years of funding. This article details the evaluation approach, which comprised these areas of the TOC: grantees’ use of evidence-based interventions, cultural competency, quality improvement, community collaboration, and use of integrated care. Inductive analyses identified grantees’ use of innovative practices, trauma-informed care, and use of validated instruments. In an iterative exercise spanning multiple years, the foundation and researchers found ways to gather information about community capacity and impact while simultaneously minimizing grantee data collection/reporting burden. Findings revealed that community agencies were improving in their uptake of evidence-based interventions and use of validated instruments. Community grantee use of trauma informed care also improved over the study period. Grantee desire to collaborate and coordinate services within the community was also strong. The research also revealed that in multiple domains (such as technology and non-profit operating costs) grantees needed support in building agency capacity. These findings shed light on which aspects of the foundation’s TOC were being addressed through funding, and which areas of the community needed additional support.     

Development of an Asset Value Map for Disaster Risk Assessment in China by Spatial Disaggregation Using Ancillary Remote Sensing Data

The extent of economic losses due to a natural hazard and disaster depends largely on the spatial distribution of asset values in relation to the hazard intensity distribution within the affected area. Given that statistical data on asset value are collected by administrative units in China, generating spatially explicit asset exposure maps remains a key challenge for rapid postdisaster economic loss assessment. The goal of this study is to introduce a top‐down (or downscaling) approach to disaggregate administrative‐unit level asset value to grid‐cell level. To do so, finding the highly correlated “surrogate” indicators is the key. A combination of three data sets—nighttime light grid, LandScan population grid, and road density grid, is used as ancillary asset density distribution information for spatializing the asset value. As a result, a high spatial resolution asset value map of China for 2015 is generated. The spatial data set contains aggregated economic value at risk at 30 arc‐second spatial resolution. Accuracy of the spatial disaggregation reflects redistribution errors introduced by the disaggregation process as well as errors from the original ancillary data sets. The overall accuracy of the results proves to be promising. The example of using the developed disaggregated asset value map in exposure assessment of watersheds demonstrates that the data set offers immense analytical flexibility for overlay analysis according to the hazard extent. This product will help current efforts to analyze spatial characteristics of exposure and to uncover the contributions of both physical and social drivers of natural hazard and disaster across space and time.     

Critically assessing digital documents: materiality and the interpretative role of software

As a contribution to the ongoing tradition of critically assessing documents for research, this paper aims to highlight materiality as a key factor in the co-shaping of knowledge derived from digital documents. The paper first builds upon prior debates in document studies with work from the fields of Science and Technology Studies, and Communication Studies, to establish the role of document materiality in the interpretative process. By first establishing digital documents’ material reality as electrical signal, the paper then discusses the interpretative role of software, in both the representation of that signal for human interpretation and the production of the document through software tools. Finally, the paper considers the implications for persistence and access to digital documents posed by their material reality and the private archival contexts in which they often reside.     

Data Science: A Powerful Catalyst for Cross-Sector Collaborations to Transform the Future of Global Health—Developing a New Interactive Relational Mapping Tool (Demo)

ABSTRACT

The increasingly complex and rapidly changing global health and socioeconomic landscape requires fundamentally new ways of thinking, acting, and collaborating to solve growing systems challenges. Cross-sectoral collaborations between governments, businesses, international organizations, private investors, academia, and nonprofits are essential for lasting success in achieving the Sustainable Development Goals (SDGs), and securing a prosperous future for the health and well-being of all people (United Nations, n.d United Nations. (n.d.). SDGs: Sustainable development knowledge platform. Sustainable Development United Nations. Retrieved from https://sustainabledevelopment.un.org/ [Google Scholar].). Our aim is to use data science and innovative technologies to map diverse stakeholders and their initiatives around SDGs and specific health targets—with particular focus on SDG 3 (Good Health & Well Being) and SDG 17 (Partnerships for the Goals)—to accelerate cross-sector and multidisciplinary collaborations. Initially, the mapping tool focuses on Geneva, Switzerland as the world center of global health diplomacy with over 80 key stakeholders and influencers present. As we develop the next level pilot, we aim to build on users’ interests, with a potential focus on non-communicable diseases (NCDs) as one of the emerging and most pressing global health issues that requires new collaborative approaches. Building on this pilot, we can later expand beyond only SDG 3 to other SDGs.