Relevant bibliographies by topics / Science and Design

Academic literature on the topic 'Science and Design'

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Published: 6 September 2023

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Journal articles on the topic "Science and Design"

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Deni, Michela. "Des sciences du design � la science du design." Langages N�213, no. 1 (2019): 93. http://dx.doi.org/10.3917/lang.213.0093.

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王, 光宇. "Exploration of Packaging Design Based on Social Science Methodology." Design 08, no. 02 (2023): 189–93. http://dx.doi.org/10.12677/design.2023.82026.

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李, 明超. "Research on Content Design of STEAM Online Science Education Products." Design 08, no. 01 (2023): 120–29. http://dx.doi.org/10.12677/design.2023.81018.

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Rajamäki, Jyri. "Design Science Research towards Privacy by Design in Maritime Surveillance ICT Systems." Information & Security: An International Journal 43, no. 2 (2019): 196–214. http://dx.doi.org/10.11610/isij.4316.

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Carneiro, Luciana Emirena dos Santos, and Mauricio Barcellos Almeida. "Design Science." Brazilian Journal of Information Science 13, no. 3 (September 27, 2019): 68–80. http://dx.doi.org/10.36311/1981-1640.2019.v13n3.07.p68.

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A presente pesquisa mapeia os avanços no campo teórico da Design Science a partir de um conjunto de trabalhos brasileiros. O objetivo é demonstrar a partir do estudo de um dos trabalhos uma forma de organizar o campo teórico no contexto da Ciência da Informação, usando a representação em um mapa bibliométrico sobre o assunto. Desenvolve-se um estudo qualitativo por meio de uma pesquisa descritiva que parte de uma premissa geral sobre Design Science e agrega premissas intermediárias ou particulares ao termo. Os dados utilizados para construção da pesquisa são compostos pelo universo de teses brasileiras que abordaram o assunto ou tiveram o termo Design Science presente no título de seus trabalhos, e, adicionalmente um conjunto de trabalhos brasileiros relevantes sobre o tema que estavam disponíveis no banco de dados da CAPES na data da consulta. Os dados coletados da revisão de literatura serviram de referêncial para análise de um mapa bibliométrico de uma tese sobre o assunto, especialmente criado com a função de representar o conhecimento sobre a temática disponível nas teses brasileiras, facilitar os estudos consultivos e as futuras pesquisas sobre no campo da Design Science. De forma específica, espera-se que os resultados com a pesquisa ofereçam: a) descrição do comportamento do termo de Design Science, a partir dos trabalhos consultados, face à sua representatividade em diversas áreas do conhecimento; b) apresentação do termo Design Science em uma perspectiva transdisciplinar; c) representação do conhecimento sobre a temática como forma de organização do campo.
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Yang, Perry PJ, and Yoshiki Yamagata. "Urban Systems Design: From “science for design” to “design in science”." Environment and Planning B: Urban Analytics and City Science 46, no. 8 (September 14, 2019): 1381–86. http://dx.doi.org/10.1177/2399808319877770.

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Cooper, Rachel. "Design: Soft Science, Hard Science?" Design Journal 5, no. 1 (March 2002): 1. http://dx.doi.org/10.2752/146069202789378413.

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Berglund, Henrik. "Entrepreneurship as Design and Design Science." Journal of Business Venturing Design 1, no. 1-2 (July 2021): 100012. http://dx.doi.org/10.1016/j.jbvd.2022.100012.

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Rossi, Matti, Ola Henfridsson, Kalle Lyytinen, and Keng Siau. "Design Science Research." Journal of Database Management 24, no. 3 (July 2013): 1–8. http://dx.doi.org/10.4018/jdm.2013070101.

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In this introductory piece to the special issue on design science research (DSR) in information systems, the authors probe the past research in DSR, introduce the papers in the special issue, discuss their contributions to the field, and conclude the paper by highlighting some potential directions for future research. To provide a good overview of the research domain, the authors review the key research approaches (or processes) that have been proposed and identify the concrete products of DSR that come in the form of artifacts. As the production of artifact is only part of the DSR process, the authors discuss the role of theorizing about these results and propose avenues for future design-oriented research. It is the authors’ strong belief that DSR should be at the heart of information systems discipline because it invites people to research the issues surrounding the development and organizational implementation of new systems.
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Friedrich, Jürgen. "Design science 97." AI & Society 10, no. 2 (June 1996): 199–217. http://dx.doi.org/10.1007/bf01205282.

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Dissertations / Theses on the topic "Science and Design"

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Puhachova, Anna, and L. V. Roienko. "Is graphic design art or science?" Thesis, Наукова платформа Open Science Laboratory, 2020. https://er.knutd.edu.ua/handle/123456789/16302.

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У статті розглядаються основні аспекти та сфери застосування графічного дизайну.
Graphic design is described as the process of visual communication and problem-solving through the use of typography, photography, iconography and illustration.
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Dresch, Aline. "Design Science e Design Science Research como Artefatos Metodológicos para Engenharia de Produção." Universidade do Vale do Rio dos Sinos, 2013. http://www.repositorio.jesuita.org.br/handle/UNISINOS/4075.

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Submitted by William Justo Figueiro (williamjf) on 2015-06-29T19:45:25Z No. of bitstreams: 1 51.pdf: 3383250 bytes, checksum: e454f028d4d3ae7e8c56d5b0ad1440fd (MD5)
Made available in DSpace on 2015-06-29T19:45:25Z (GMT). No. of bitstreams: 1 51.pdf: 3383250 bytes, checksum: e454f028d4d3ae7e8c56d5b0ad1440fd (MD5) Previous issue date: 2013
CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Para garantir que uma pesquisa seja reconhecida como sólida e potencialmente relevante, tanto pelo campo acadêmico quanto pela sociedade em geral, ela deve demonstrar que foi desenvolvida com rigor e que é passível de debate e verificação. É neste âmbito que um método de pesquisa robusto se torna imprescindível para o sucesso na condução de um estudo. Este estudo busca contribuir para a comunidade de Engenharia de Produção argumentando pela necessidade de adotar-se um método de pesquisa centrado na evolução de uma “Ciência do Projeto” (Design Science), evidenciando seu sentido e suas formas de operacionalização. Para desenvolvimento deste estudo utilizou-se uma abordagem metodológica teórico-conceitual fundamentada em ampla revisão da literatura. A partir da revisão da literatura, foi possível verificar que os conceitos da proposta metodológica associada à pesquisa em Design Science, são pertinentes e aplicáveis à Engenharia de Produção. O trabalho apresenta um histórico conceitual a respeito da Design Science e da Design Science Research, a importância da definição das Classes de Problemas e dos Artefatos gerados no âmbito da pesquisa, e os principais passos para operacionalizar a Design Science Research. Para aprofundar o entendimento da pauta em questão, o trabalho também propõe comparações e análises sobre a Design Science e a sua relação com as ciências tradicionais. Ao final, o estudo busca apresentar alguns cuidados para a utilização e validação da Design Science Research.
To ensure that research is recognized as potentially relevant and solid, by both academic field and society in general, it must demonstrate that it was developed with rigor and is liable to debate and verification. It is in this context that a robust research method becomes essential to successfully conduct a study. This study seeks to contribute with the Production Engineering community debating the need to adopt a method of research focused on the evolution of Design Science, showing its meaning and its ways of operation. For this study was used an approach based on theoretical and conceptual extensive literature review. From the literature review, was possible to assert that the concepts associated with the proposed methodological research on Design Science are relevant and applicable to Production Engineering. This dissertation presents a conceptual history about the Design Science and Design Science Research, the importance of defining the Classes of Problems and Artifacts generated from a research, and key steps to operationalize the Design Science Research. To deepen the understanding of the staff concerned, this study also proposes comparisons and analyzes on the Design Science and its relationship with the traditional sciences. Finally, the study discusses some attenttion points for the use and validation of Design Science Research.
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Ralph, David Paul. "Fundamentals of software design science." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/29536.

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This dissertation comprises three essays on software design science, the philosophical, theoretical and empirical study of software creation and modification including its phenomenology, methodology and causality. The essays consider three limitations evident in the software design science literature: 1) lack of a precisely-defined, well-understood vocabulary; 2) difficulties surrounding empirical research; 3) lack of theory concerning the design process’s structure and organization. The first essay presents an extensive review of definitions of design, revealing nontrivial disagreements regarding its nature and scope. Following this, a formal definition of design and a conceptual model of design projects are constructed. The definition incorporates seven elements – agent, object, environment, goals, primitives, requirements and constraints. The conceptual model views design projects as temporal trajectories of work systems, in which human agents design systems for stakeholders, using resources and tools. This provides a detailed, defensible basis for theoretical and empirical software design science research. The second essay addresses the difficulties of empirical software design science research by elucidating a broad, bipolar conflict in design literature between two incompatible beliefs: 1) the belief that design is an innately cognitive, approximately rational, plan-centered activity (Reason-Centric Perspective); 2) the belief that design is an emergent phenomenon, improvised through continual interaction between agents and environments (Action-Centric Perspective). Each perspective is operationalized through a software design process theory: the Function-Behavior-Structure Framework (chosen for the Reason-Centric Perspective) and the Sensemaking-Coevolution-Implementation Framework (proposed for the Action-Centric Perspective). The third essay presents a survey study comparing these perspectives and theories. Responses from 1384 software development professionals in 65 countries indicate that the Sensemaking-Coevolution-Implementation Framework more accurately describes the structure and organization of their design processes than the Function-Behavior-Structure Framework. Gender, education, experience, nationality, occupation, team size, project duration, firm size, methodologies in use, and the nature of the software had no measurable effect on this finding. This supports a theory of the design process’s structure and organization and facilitates several streams of empirical research including studies of design project success.
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Felix, Allison. "Design Based Science and Higher Order Thinking." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/71746.

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Technological/engineering design based learning (T/E DBL) provides a context in which students may utilize content knowledge and skills to develop prototype solutions to real-world problems. In science education, design based science (DBS) utilizes technological/engineering design based approaches in science education as a means for enhancing the purpose of and relevance for scientific inquiry by contextualizing it within the goal of developing a solution to a real-world problem. This study addressed the need to investigate the ways in which students utilize higher order thinking skills, demonstrated through the use of knowledge associated with declarative, schematic, and strategic cognitive demand when in engaged in DBS activities. The purpose of this study was to determine what relationships exist between engagement in DBS and changes in students' depth of understanding of the science concepts associated with the development of design solutions. Specifically, the study determined how students' abilities to demonstrate an understanding of the science concepts, required by assessments of different cognitive demand, change as they were engaged in a design-based science unit associated with heat transfer. Utilizing two assessment instruments, a pre/post-1/post-2 test and content analysis of student design portfolios based on Wells (2012) and utilizing Li's (2001) system to code student responses, the following research question was addressed: What changes in students' science concept knowledge (declarative, schematic, and strategic demand) are evidenced following engagement in design based learning activities? Although the results are not generalizable to other populations due to the limitations associated with the study, it can be concluded that design based learning activities incorporated in science courses can foster higher order thinking. Results from the study suggests that students' abilities to demonstrate their understanding of certain science concepts through higher order thinking, including utilizing concept knowledge strategically in open-ended problem solving, increased following engagement in design based learn activities. Results have implications in technological/engineering design education, in science education, and in integrative STEM education. Implications include the utility of design portfolios as both an assessment instrument and learning tool to ensure that concept knowledge is explicitly connected to and used in the design activity.
Ed. D.
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林煜 and Yuk Lam. "Hong Kong Science Park." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B31982001.

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Bowser, Anne Elizabeth. "Cooperative design, cooperative science| Investigating collaborative research through design with floracaching." Thesis, University of Maryland, College Park, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10129884.

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This dissertation presents a case study of collaborative research through design with Floracaching, a gamified mobile application for citizen science biodiversity data collection. One contribution of this study is the articulation of collaborative research through design (CRtD), an approach that blends cooperative design approaches with the research through design methodology (RtD). Collaborative research through design is thus defined as an iterative process of cooperative design, where the collaborative vision of an ideal state is embedded in a design. Applying collaborative research through design with Floracaching illustrates how a number of cooperative techniques—especially contextual inquiry, prototyping, and focus groups—may be applied in a research through design setting. Four suggestions for collaborative research through design (recruit from a range of relevant backgrounds; take flexibility as a goal; enable independence and agency; and, choose techniques that support agreement or consensus) are offered to help others who wish to experiment with this new approach. Applying collaborative research through design to Floracaching yielded a new prototype of the application, accompanied by design annotations in the form of framing constructs for designing to support mobile, place-based citizen science activities. The prototype and framing constructs, which may inform other designers of similar citizen science technologies, are a second contribution of this research.

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Karlsson, Jimmy, and Emanuel Niska. "Tidsdistortion i metodkomponenter - En design science-ansats." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-44366.

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Tobias, Eklund, and Joakim Spehar. "CPlanner : Kursplaneringsprototyp med Design Science och Scrum." Thesis, Uppsala universitet, Institutionen för informatik och media, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202215.

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Utveckling av planeringssystem är ett komplext designproblem som kräver både en hög grad av flexibilitet men även struktur. I samband med planering är det ett flertal aktörer, aktiviteter och resurser som måste beaktas. Kunnandet när det gäller planering finns ofta koncentrerad till ett fåtal nyckelpersoner. Det är därför ingen tillfällighet att många företag, organisationer och även universitet idag bedriver sin planering i beprövade enanvändarsystem som Excel fast att det finns starkt behov för standardiserat fleranvändarsystem. Uppsala universitet är inget undantag trots dess storlek med över 40 000 studenter, 6 200 anställda, 130 utbildningsprogram och 2000 fristående kurser. Kursplaneringen bedrivs med hjälp av enanvändarsystem där man är beroende av ett antal nyckelpersoner för att planeringen skall fungera. Uppsatsens syfte är att undersöka och belysa den problematik som finns i samband med utveckling av planeringssystem genom att utveckla en prototyp för ett kursplaneringssystem. Den forskningsstrategi som används är Design Science och den utvecklingsmetodik som används är Scrum. Prototypen har utvärderats regelbundet under utvecklingen genom formativ utvärdering. Uppsatsens kunskapsbidrag utgörs av metodkunskap som visar hur Scrum och Design Science kan kombineras samt modellkunskap som visar den grundläggande strukturen för ett kursplaneringssystem.
Development of planning system is a complex design problem that requires both a high degree of flexibility but also structure. In the context of planning, there are several actors, activities and resources that must be considered. Expertise in planning is often concentrated in a few key individuals. It is therefore no coincidence that many businesses, organizations and even universities currently conducts its planning in proven single-user system like Excel even though there is a strong need for standardized multi-user system. Uppsala University is no exception, despite its size, with over 40,000 students, 6,200 employees, 130 programs and 2000 courses. Course planning is conducted using single-user system and which is dependent on a number of key individuals to plan to work. The essay aims to investigate and illustrate the problems that are associated with the development of the planning system by developing a prototype of a course scheduling system. The research strategy used is Design Science and the development methodology that is used is Scrum. The prototype has been evaluated regularly during development through formative evaluation. The essays knowledge contribution is methodological knowledge that shows both how Scrum and Design Science can be combined and model knowledge, which shows the basic structure of a course scheduling system.
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Matias, Ana Cátia António. "Design science : gamificação para a sustentabilidade ambiental." Master's thesis, Instituto Superior de Economia e Gestão, 2019. http://hdl.handle.net/10400.5/19529.

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Mestrado em Gestão de Sistemas de Informação
É imperativo alterar a forma como consumimos e como tratamos os resíduos que advêm desse mesmo consumo, e as crianças são o mais potente motor desta mudança. Assim, é importante conhecermos esta geração e adaptar a forma como nos dirigimos à mesma. A geração Alfa nasceu, e está a crescer, rodeada de tecnologia e é muito facilmente motivada por todas as características da mesma. Como tal, importa incluir ferramentas de ensino que entusiasmem e cativem esta geração. A gamificação é uma técnica que pode ser um complemento muito poderoso ao ensino, permitindo aos educadores motivar, mais facilmente, os seus alunos. Através da Design Science Research, foi desenhado um artefacto com o objetivo de educar crianças para a sustentabilidade ambiental e para as questões ambientais mais pertinentes. Este artefacto consiste num sistema gamificado, que poderá ser aplicado em contexto escolar. O artefacto foi validado através de seis entrevistas ao público-alvo e a especialistas. Essas entrevistas tiveram como objetivo compreender a adequação das técnicas utilizadas ao público-alvo e, se estas poderão solucionar o problema identificado. Através destas, foi possível perceber que a gamificação pode ser um motivador eficaz para as crianças. Dado que a solução desenhada lhes permite aplicarem os conhecimentos adquiridos quase imediatamente, os jogadores/alunos estão a consolidar os conceitos adquiridos de uma forma muito interativa e intuitiva. A utilização de jogos no ensino mostrou ser uma mais valia não só para os alunos como também para os professores, através da análise da informação recolhida pelo sistema.
It is imperative to change the way we consume and dispose of the waste that comes from it, and children are the most powerful engine for this change. Thus, it is important to know this generation and adapt the way we address them. The Alpha generation was born, and is developing, surrounded by technology and is very easily motivated by its characteristics. As such, it is important to include tools that excite and captivate this generation. Gamification is a technique that can be a very powerful complement to teaching, allowing educators to more easily motivate their students. Through Design Science Research, an artifact was designed with the purpose of educating children on environmental sustainability and some of the most relevant environmental issues. This artifact is a gamified system, that can be applied in a school context. The artifact was validated through six interviews with the target audience and specialists. Those interviews aimed to understand the adequacy of the techniques used to the target audience and, if those could be a solution for the identified problem. Through these it was possible to realize that gamification can be an effective motivator for children. Given the fact that the designed solution allows them to apply their acquired knowledge almost immediately, players/students are consolidating the acquired concepts in a very interactive and intuitive way. The use of games in teaching was proven to be an asset not only for students but also for teachers, through the analysis of the data collected by the system.
info:eu-repo/semantics/publishedVersion
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Klaasen, I. T. "Knowledge-based design developing urban & regional design into a science /." Delft : Delft University Press, 2004. http://www.ebrary.com/.

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Books on the topic "Science and Design"

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Hubka, Vladimir, and W. Ernst Eder. Design Science. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-3091-8.

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Friedman, Ken. Design science and design education. Sandvika: Norwegian School of Management, 1997.

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Friedman, Ken. Design science and design education. Sandvika: Norwegian School of Management, 1997.

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Friedman, Ken. Design science and design education. Sandvika: Norwegian School of Management, 1997.

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Grover, Tarun, and Mugdha Thareja. Science in Design. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, LLC, [2021]: CRC Press, 2020. http://dx.doi.org/10.1201/9781003095217.

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Dresch, Aline, Daniel Pacheco Lacerda, and José Antônio Valle Antunes Jr. Design Science Research. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-07374-3.

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Knapp, Brian. Science and design. Reading: Regency, 1993.

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De Sordi, José Osvaldo. Design Science Research Methodology. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82156-2.

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Suh, Nam Pyo, Miguel Cavique, and Joseph Timothy Foley, eds. Design Engineering and Science. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49232-8.

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Volodina, Elena. Materials Science: Design, architecture. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1046078.

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The second volume of the textbook contains information about finishing materials, products and engineering systems in relation to the interior design of a modern building. Special attention is paid to the actual finishing materials, as well as their ecological and aesthetic characteristics, which are important for creating an expressive subject-spatial environment. The well-thought-out structure of the book allows you to successfully master the discipline in different formats of vocational education: secondary vocational, bachelor's, master's, professional retraining. The volume of the studied material is determined by the teacher in accordance with the work program. The content meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for students in the areas of training "Design", "Environment Design", "Architectural environment Design", "Architecture", "Architectural design". It will also be useful as a reference for practicing designers, architects, restorers, builders, teachers of materials science and a wide range of people interested in this field of knowledge.
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Book chapters on the topic "Science and Design"

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Edmondson, Amy C. "“Design Science”." In A Fuller Explanation, 258–69. Boston, MA: Birkhäuser Boston, 1987. http://dx.doi.org/10.1007/978-1-4684-7485-5_16.

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Hunziker, Stefan, and Michael Blankenagel. "Design Science Research Design." In Research Design in Business and Management, 97–116. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34357-6_6.

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Davis, Brent, Krista Francis, and Sharon Friesen. "Science." In STEM Education by Design, 89–110. New York: Routledge, 2019 |: Routledge, 2019. http://dx.doi.org/10.4324/9780429025143-6.

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Hubka, Vladimir, and W. Ernst Eder. "Quality of Design Science." In Design Science, 217–20. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-3091-8_10.

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Dresch, Aline, Daniel Pacheco Lacerda, and José Antônio Valle Antunes. "Design Science—The Science of the Artificial." In Design Science Research, 47–65. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07374-3_3.

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Dresch, Aline, Daniel Pacheco Lacerda, and José Antônio Valle Antunes. "Design Science Research." In Design Science Research, 67–102. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07374-3_4.

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Hirschberg, Urs, and Michael Stadler. "Design Science Labs." In Computer-Aided Architectural Design Futures (CAADFutures) 2007, 475–88. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6528-6_35.

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Siedhoff, Stina. "Design science research." In Seizing Business Model Patterns for Disruptive Innovations, 29–43. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-26336-2_3.

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Hubka, Vladimir, and W. Ernst Eder. "Future Tasks in Design Science." In Design Science, 221. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-3091-8_11.

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Hubka, Vladimir, and W. Ernst Eder. "Knowledge Systems (Science) and Designing." In Design Science, 35–47. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-3091-8_2.

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Conference papers on the topic "Science and Design"

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WAITE, Noel. "Antipodean Design Science: applied home." In Design frontiers: territories, concepts, technologies [=ICDHS 2012 - 8th Conference of the International Committee for Design History & Design Studies]. Editora Edgard Blücher, 2014. http://dx.doi.org/10.5151/design-icdhs-009.

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Eder, W. Ernst. "Design Science: Meta-Science to Engineering Design." In ASME 1990 Design Technical Conferences. American Society of Mechanical Engineers, 1990. http://dx.doi.org/10.1115/detc1990-0143.

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Abstract Following on from a paper presented at a previous Design Automation Conference (Eder 1986), this paper outlines some of the more recent insights concerning engineering design that have been developed by a small international group. Some of the models of designing and technical systems have been improved. A morphology of knowledge about designing and technical systems has been proposed, and extended to a morphology of knowledge itself. Some consequences are drawn from these developments, and summarized in this paper.
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Willem, Raymond A. "Design-Science Interactions." In ASME 1990 Design Technical Conferences. American Society of Mechanical Engineers, 1990. http://dx.doi.org/10.1115/detc1990-0142.

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Abstract Design and science interact in important ways for achieving both the goals of design (to create) and science (to know). Various forms of interactions are identified and discussed. It is concluded that due to the nature of science and design, these interactions are intinsic and vital to achieving the goals of both.
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Sullivan, Kevin, and Jeff Magee. "Science of design." In the 27th international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1062455.1062478.

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Wieringa, Roel. "Design science methodology." In the 32nd ACM/IEEE International Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1810295.1810446.

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Wieringa, Roel, and Hans Heerkens. "Design Science, Engineering Science and Requirements Engineering." In 2008 16th IEEE International Requirements Engineering Conference (RE). IEEE, 2008. http://dx.doi.org/10.1109/re.2008.63.

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Laplace, Ricelli, and Joel Peter Weber Letkemann. "Science Fictioning Participatory Design." In PDC 2022: Participatory Design Conference 2022. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3536169.3537775.

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Baskerville, Richard, Jan Pries-Heje, and John Venable. "Soft design science methodology." In the 4th International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1555619.1555631.

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Gross, Mark D., and Ellen Yi-Luen Do. "Design, art, craft, science." In the 2007 Symposium. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1496630.1496636.

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Ramnath, Satchit, Payam Haghighi, Jiachen Ma, Jami J. Shah, and Duane Detwiler. "Design Science Meets Data Science: Curating Large Design Datasets for Engineered Artifacts." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22377.

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Abstract Machine learning is opening up new ways of optimizing designs, but it requires large data sets for training and verification. The primary focus of this paper is to explain the trade-offs between generating a large data set and the level of idealization required to automate the process of generating such a data set. This paper discusses the efforts in curating a large CAD data set with the desired variety and validity of automotive body structures. A method to incorporate constraint networks to filter invalid designs, prior to the start of model generation is explained. Since the geometric configurations and characteristics need to be correlated to performance (structural integrity), the paper also demonstrates automated workflows to perform finite element analysis on 3D CAD models generated. Key simulation results can then be associated with CAD geometry and fed to the machine learning algorithms. With the increase in computing power and network speed, such datasets could assist in generating better designs, which could potentially be obtained by a combination of existing ones, or might provide insights into completely new design concepts meeting or exceeding the performance requirements. The approach is explained using the hood frame as an example, but the same can be adopted to other design components.
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Reports on the topic "Science and Design"

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Arthur, J., S. Boutet, J.-C. Castagna, H. Chapman, Y. Feng, W. Foyt, D. M. Fritz, et al. LCLS Ultrafast Science Instruments:Conceptual Design Report. Office of Scientific and Technical Information (OSTI), October 2007. http://dx.doi.org/10.2172/918010.

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Wawrzynek, John. Accelerating Science Driven System Design With RAMP. Office of Scientific and Technical Information (OSTI), May 2015. http://dx.doi.org/10.2172/1186854.

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Abbadini, Jeffrey J. Operational Design that Synthesizes Art and Science. Fort Belvoir, VA: Defense Technical Information Center, May 2011. http://dx.doi.org/10.21236/ada545959.

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Delgass, William Nicholas, Mahdi Abu-Omar, James Caruthers, Fabio Ribeiro, Kendall Thomson, and William Schneider. Catalysis Science Initiative: Catalyst Design by Discovery Informatics. Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1260972.

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Bullock, William C., W. R. Pittman, and Douglas C. Heinen. Facility Design Program Requirements for National Science Center. Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada242302.

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Levi, Carlos G. Science Underpinning TBC Design for Durability in Aggressive Environments. Fort Belvoir, VA: Defense Technical Information Center, October 2008. http://dx.doi.org/10.21236/ada487221.

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Lesko, K. T., S. Acheson, J. Alonso, P. Bauer, Y. D. Chan, W. Chinowsky, S. Dangermond, et al. Deep Underground Science and Engineering Laboratory - Preliminary Design Report. Office of Scientific and Technical Information (OSTI), May 2017. http://dx.doi.org/10.2172/1436627.

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Brodaric, B., D. Paul, M. R. St-Onge, and J. C. Harrison. The Tri-territorial (TriT) Bedrock Database design and science language. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2015. http://dx.doi.org/10.4095/296669.

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Bullock, William C., W. R. Pittman, and Douglas C. Heinen. Program Analysis and Design Requirements for tne National Science Center. Fort Belvoir, VA: Defense Technical Information Center, February 1991. http://dx.doi.org/10.21236/ada235925.

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Gordon, Mark S. Design of New Materials Using Computational Chemistry and Materials Science (CHSSI). Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada437419.

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