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  • 1
    In: Design Science, Cambridge University Press (CUP), Vol. 7 ( 2021)
    Abstract: The impact of engineered products is a topic of concern in society. Product impact may fall under the categories of economic, environmental or social impact, with the last category defined as the effect of a product on the day-to-day life of people. Design teams lack sufficient tools to estimate the social impact of products, and the combined impacts of economic, environmental and social impacts for the products they are designing. This paper aims to provide a framework for the estimation of product impact during product design. To estimate product impact, models of both the product and society are required. This framework integrates models of the product, scenario, society and impact into an agent-based model to estimate product impact. Although this paper demonstrates the framework using only social impact, the framework can also be applied to economic or environmental impacts individually or all three concurrently. Agent-based modelling has been used previously for product adoption models, but it has not been extended to estimate product impact. Having tools for impact estimation allows for optimising the product design parameters to increase the potential positive impact and reduce potential negative impact.
    Type of Medium: Online Resource
    ISSN: 2053-4701
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2830124-9
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  • 2
    In: Journal of Mechanical Design, ASME International, Vol. 145, No. 3 ( 2023-03-01)
    Abstract: While many tools and methodologies for assessing social impact exist and are used in the social science and global development fields, there is a lack of standard methods for considering the broader social impact of products in the engineering community. Some reasons these methods are not as widely used in the engineering community include designers not being aware of the methods, or methods not being widely applicable. The purpose of this research is to help designers and researchers find relevant design tools and methods for implementing social impact considerations. This is done through the classification of 374 papers in the Engineering for Global Development (EGD) literature along several dimensions including method purpose, industry sector, social impacts considered, sustainable development goals, paper setting, and data inputs required. This article describes how designers and researchers can use this set of classified papers to locate relevant design tools and methods to improve social impact considerations in their work.
    Type of Medium: Online Resource
    ISSN: 1050-0472 , 1528-9001
    Language: English
    Publisher: ASME International
    Publication Date: 2023
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  • 3
    Online Resource
    Online Resource
    ASME International ; 2023
    In:  Journal of Mechanical Design Vol. 145, No. 11 ( 2023-11-01)
    In: Journal of Mechanical Design, ASME International, Vol. 145, No. 11 ( 2023-11-01)
    Abstract: A key part of an engineer’s purpose is to create products and services that benefit society, or, in other words, to create products with a positive social impact. While engineers have many predictive models to aid in making design decisions about the functional performance or safety of a product, very few models exist for estimating or planning for the wide range of social impacts an engineered product can have. To model social impact, a model must contain representations of both the product and society. Agent-based modeling is a tool that can model society and incorporate social impact factors. In this paper, we investigate factors that have historically limited the usefulness of product adoption agent-based models and predictive social impact models through a systematic literature review. Common themes of limiting factors are identified, steps are presented to improve the usefulness of agent-based product adoption models and predictive social impact models, and a general process for the creation of agent-based social impact models is presented. Improving the usefulness of these predictive models can aid engineers in making better design decisions. Predictive social impact models can help identify areas in the design space to improve the social impact of products. When coupled with existing design methods, agent-based predictive social impact models can help increase the probability that a product achieves positive social impact.
    Type of Medium: Online Resource
    ISSN: 1050-0472 , 1528-9001
    Language: English
    Publisher: ASME International
    Publication Date: 2023
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  • 4
    Online Resource
    Online Resource
    ASME International ; 2022
    In:  Journal of Mechanical Design Vol. 144, No. 3 ( 2022-03-01)
    In: Journal of Mechanical Design, ASME International, Vol. 144, No. 3 ( 2022-03-01)
    Abstract: With limited time and resources available to carry out Engineering for Global Development (EGD) projects, it can be difficult to know where those resources should be allocated to have greater potential for meaningful impact. It is easy to assume that projects should occur in a particular location based on personal experience or where other development projects are taking place. This can be a consideration, but it may not lead to the greatest social impact. Where to work on a project and what problem to work on are key questions in the early stages of product development in the context of EGD. To aid in this process, this article presents a method for assessing global needs to ensure thoughtful use of limited EGD resources. We introduce a method for identifying locations where there is human need, gaps in technological achievement, and what the work environment is in a country. Results of the method are compared to what countries receive the most foreign aid dollars per capita. Measures were calculated using the principal component analysis on data from development agencies. These results can help practitioners in selecting where to undertake development projects with an eye toward targeting locations that may yield high levels of social impact.
    Type of Medium: Online Resource
    ISSN: 1050-0472 , 1528-9001
    Language: English
    Publisher: ASME International
    Publication Date: 2022
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  • 5
    In: Journal of Mechanical Design, ASME International, Vol. 145, No. 12 ( 2023-12-01)
    Abstract: This paper presents a methodology for predicting a product’s adoption and social impact using agent-based modeling (ABM) and neural networks to aid in decision-making related to the design and implementation of the product in a sociotechnical system. The collection of primary data on the social impact of a product is also outlined. Although this paper illustrates the method for improved cookstoves in Uganda, the general method can be applied to a wide range of contexts. A field study was carried out in Uganda, consisting of two phases of data collection. The data from the field work were used to train a neural network to predict if an individual would adopt an improved cookstove. Data collected from surveys and the trained adoption model were used to create an ABM to estimate adoption rates and social impacts experienced by households that had adopted technology and to assess social impact indicators. The contributions of this article are a method for collecting primary social impact data on a product and how to integrate those data into a predictive agent-based social impact model. This methodology also enables the examination of leverage points in the sociotechnical system to improve the social impact of a product as it is implemented in society.
    Type of Medium: Online Resource
    ISSN: 1050-0472 , 1528-9001
    Language: English
    Publisher: ASME International
    Publication Date: 2023
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  • 6
    Online Resource
    Online Resource
    Cambridge University Press (CUP) ; 2021
    In:  Proceedings of the Design Society Vol. 1 ( 2021-08), p. 101-110
    In: Proceedings of the Design Society, Cambridge University Press (CUP), Vol. 1 ( 2021-08), p. 101-110
    Abstract: The impact of products is becoming a topic of concern in society. Product impact may fall under the categories of economic, environmental, or social impact and is defined by the effect of a product on day-to-day life. Design teams lack sufficient tools to predict the impact of products they are designing. In this paper we present a framework for the prediction of product impact during product design. This framework integrates models of the product, scenario, society, and impact into an agent-based model to predict product impact. Although this paper focuses on social impact, the framework can also be applied to economic or environmental impacts. An illustration of using the framework is also presented. Agent-based modeling has been used previously for adoption models, but it has not been extended to predict product impact. Having tools for impact prediction allows for optimizing the product design parameters to increase potential positive impact and reduce potential negative impact.
    Type of Medium: Online Resource
    ISSN: 2732-527X
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2021
    detail.hit.zdb_id: 3053477-X
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  • 7
    Online Resource
    Online Resource
    ASME International ; 2024
    In:  Journal of Mechanical Design Vol. 146, No. 1 ( 2024-01-01)
    In: Journal of Mechanical Design, ASME International, Vol. 146, No. 1 ( 2024-01-01)
    Abstract: This article introduces 55 prompt questions that can be used by design teams to consider the social impacts of the engineered products they develop. These 55 questions were developed by a team of engineers and social scientists to help design teams consider the wide range of social impacts that can result from their design decisions. After their development, these 55 questions were tested in a controlled experiment involving 12 design teams. Given a 1-h period of time, 6 control teams were asked to identify many social impacts within each of the 11 social impact categories identified by Rainock et al. (2018, The Social Impacts of Products: A Review, Impact Assess. Project Appraisal, 36, pp. 230241), while 6 treatment groups were asked to do the same while using the 55 questions as prompts to the ideation session. Considering all 1079 social impacts identified by the teams combined and using 99% confidence intervals, the analysis of the data shows that the 55 questions cause teams to more evenly identify high-quality, high-variety, high-novelty impacts across all 11 social impact categories during an ideation session, as opposed to focusing too heavily on a subset of impact categories. The questions (treatment) do this without reducing the quantity, quality, or novelty of impacts identified, compared to the control group. In addition, using a 90% confidence interval, the 55 questions cause teams to more evenly identify impacts when low quality, low variety, and low novelty are not filtered out. As a point of interest, the case where low quality and low variety impacts are removed – but low novelty impacts are not – the treatment draws the same conclusion but with only 85% confidence.
    Type of Medium: Online Resource
    ISSN: 1050-0472 , 1528-9001
    Language: English
    Publisher: ASME International
    Publication Date: 2024
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  • 8
    In: Journal of Mechanical Design, ASME International, Vol. 145, No. 3 ( 2023-03-01)
    Abstract: Meeting the United Nations (UN) sustainable development goals efficiently requires designers and engineers to solve multi-objective optimization problems involving trade-offs between social, environmental, and economical impacts. This paper presents an approach for designers and engineers to quantify the social and environmental impacts of a product at a population level and then perform a trade-off analysis between those impacts. In this approach, designers and engineers define the attributes of the product as well as the materials and processes used in the product’s life cycle. Agent-based modeling (ABM) tools that have been developed to model the social impacts of products are combined with life cycle assessment (LCA) tools that have been developed to evaluate the pressures that different processes create on the environment. Designers and engineers then evaluate the trade-offs between impacts by finding non-dominated solutions that minimize environmental impacts while maximizing positive and/or minimizing negative social impacts. Product adoption models generated by ABM allow designers and engineers to approximate population level environmental impacts and avoid Simpson’s paradox, where a reversal in choices is preferred when looking at the population level impacts versus the individual product-level impacts. This analysis of impacts has the potential to help designers and engineers create more impactful products that aid in reaching the UN sustainable development goals.
    Type of Medium: Online Resource
    ISSN: 1050-0472 , 1528-9001
    Language: English
    Publisher: ASME International
    Publication Date: 2023
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  • 9
    In: Cell Metabolism, Elsevier BV, Vol. 20, No. 5 ( 2014-11), p. 840-855
    Type of Medium: Online Resource
    ISSN: 1550-4131
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2014
    detail.hit.zdb_id: 2174469-5
    SSG: 12
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  • 10
    Online Resource
    Online Resource
    Informa UK Limited ; 2004
    In:  Engineering Optimization Vol. 36, No. 6 ( 2004-12), p. 721-740
    In: Engineering Optimization, Informa UK Limited, Vol. 36, No. 6 ( 2004-12), p. 721-740
    Type of Medium: Online Resource
    ISSN: 0305-215X , 1029-0273
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2004
    detail.hit.zdb_id: 2029191-7
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