Republic of Angola Poverty and Social Impact Analysis

10.1596/25105 ◽  
2016 ◽  
Author(s):  
Keyword(s):  
Social Impact ◽  
Impact Analysis

scholarly journals A Methodology for Assessing the Impact of Living Labs on Urban Design: The Case of the Furnish Project

2021 ◽  
Vol 13 (8) ◽  
pp. 4562
Author(s):  
Inés Aquilué ◽  
Angélica Caicedo ◽  
Joan Moreno ◽  
Miquel Estrada ◽  
Laia Pagès
Keyword(s):  
Urban Design ◽  
Social Impact ◽  
Impact Analysis ◽  
Public Spaces ◽  
Phase Model ◽  
Qualitative Assessment ◽  
Tactical Urbanism ◽  
Living Labs ◽  
The Impact ◽  
Loop Scheme

This paper presents a framework to support the assessment of urban design projects through Urban Living Labs (ULLs). The framework is based on the Tactical Urbanism (TU) practices and involves the use of Mobile Urban Elements (MUE) in uncertain and potentially confusing conditions (e.g., the COVID-19 context). The methodology includes the application of the Four-Phase Model (problem and ideation; development; implementation, testing and assessment; final proposal) and a quantitative and qualitative assessment. The proposed assessment criteria were developed through an evaluation according to three aspects: (1) feasibility impact; (2) social impact; and (3) spatial impact. The methodology was applied to Furnish, an urban design project based on a ULL and prototyping, which was recently developed in five European cities. The empirical results, obtained using the impact analysis, indicate that the prototypes developed in the project are transferable to other cities and generate social interaction in public spaces. The applied research showed that the Four-Phase Model may be used as a new and improved iterative design process: the LOOP Scheme. The application of this assessment methodology to ULLs may provide valuable information for the future planning of urban interventions in public spaces.

scholarly journals Open Education for a Better World: A Mentoring Programme Fostering Design and Reuse of Open Educational Resources for Sustainable Development Goals

Open Praxis ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 409 ◽  
Author(s):  
Tanja Urbančič ◽  
Anja Polajnar ◽  
Mitja Jermol
Keyword(s):  
Sustainable Development ◽  
Social Impact ◽  
Sustainable Development Goals ◽  
Impact Analysis ◽  
Open Educational Resources ◽  
Educational Resources ◽  
Open Education ◽  
Online Mentoring ◽  
Educational Materials ◽  
Development Goals

An international online mentoring programme Open Education for a Better World (OE4BW) has been developed to unlock the potential of open education in achieving the UN Sustainable Development Goals. The programme provides an innovative approach to building Open Educational Resources, connecting developers of educational materials with experts volunteering as mentors. The model of the programme has been carefully designed and tested in two subsequent implementations in years 2018 and 2019. Results have proved the model to be useful for building capacities in open education, while producing concrete educational materials with great potential for social impact. Analysis of results has been used to suggest further improvements needed for enabling the program to be used on an even larger scale. The paper presents the development of the OE4BW model, its main characteristics, implementation results and guidelines for the future.

Benefits realisation management: social impact analysis

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
José Santos ◽  
Álvaro Dias ◽  
Renato Lopes Da Costa ◽  
Ricardo Santos ◽  
Leandro Pereira
Keyword(s):  
Social Impact ◽  
Impact Analysis

scholarly journals Spatial Modelling to Inform Public Health Based on Health Surveys: Impact of Unsampled Areas at Lower Geographical Scale

2020 ◽  
Vol 17 (3) ◽  
pp. 786
Author(s):  
Kevin Watjou ◽  
Christel Faes ◽  
Yannick Vandendijck
Keyword(s):  
Public Health ◽  
Health Surveys ◽  
Social Impact ◽  
Impact Analysis ◽  
School Attendance ◽  
Auxiliary Information ◽  
Spatial Modelling ◽  
Population Characteristics ◽  
Demographic And Health Surveys ◽  
Governmental Organizations

Small area estimation is an important tool to provide area-specific estimates of population characteristics for governmental organizations in the context of education, public health and care. However, many demographic and health surveys are unrepresentative at a small geographical level, as often areas at a lower level are not included in the sample due to financial or logistical reasons. In this paper, we investigated (1) the effect of these unsampled areas on a variety of design-based and hierarchical model-based estimates and (2) the benefits of using auxiliary information in the estimation process by means of an extensive simulation study. The results showed the benefits of hierarchical spatial smoothing models towards obtaining more reliable estimates for areas at the lowest geographical level in case a spatial trend is present in the data. Furthermore, the importance of auxiliary information was highlighted, especially for geographical areas that were not included in the sample. Methods are illustrated on the 2008 Mozambique Poverty and Social Impact Analysis survey, with interest in the district-specific prevalence of school attendance.

A framework for social impact analysis of large dams: A case study of cascading dams on the Upper-Mekong River, China

2013 ◽  
Vol 117 ◽  
pp. 131-140 ◽  
Author(s):  
Pu Wang ◽  
James P. Lassoie ◽  
Shikui Dong ◽  
Stephen J. Morreale
Keyword(s):  
Social Impact ◽  
Impact Analysis ◽  
Mekong River ◽  
Large Dams
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