Der Einsatz von neuronalen Netzen in Edge-Geräten und deren Einbindung in unser tägliches Leben findet immer mehr Beachtung. Ihre hohen Rechenkosten machen jedoch viele eingebettete Anwendungen zu einer Herausforderung. Das Hauptziel meiner Doktorarbeit ist es, einen Beitrag zur Lösung dieses Dilemmas zu leisten: die Optimierung neuronaler Netze und die Entwicklung entsprechender neuronaler Verarbeitungseinheiten für Endgeräte. Diese Arbeit nahm die algorithmische Forschung als Ausgangspunkt und wandte dann deren Ergebnisse an, um das Architekturdesign von Neural Processing Units (NPUs) zu verbessern. Die Optimierung neuronaler Netzwerkmodelle begann mit der Quantisierung neuronaler Netzwerke mit einfacher Präzision und entwickelte sich zu gemischter Präzision. Die Entwicklung der NPU-Architektur folgte den Erkenntnissen der Algorithmusforschung, um ein Hardware/Software Co-Design zu erreichen. Darüber hinaus wurde ein neuartiger Ansatz zur gemeinsamen Entwicklung von Hardware und Software vorgeschlagen, um das Prototyping und die Leistungsbewertung von NPUs zu beschleunigen. Dieser Ansatz zielt auf die frühe Entwicklungsphase ab. Er hilft Entwicklern, sich auf das Design und die Optimierung von NPUs zu konzentrieren und verkürzt den Entwicklungszyklus erheblich. Im Abschlussprojekt wurde ein auf maschinellem Lernen basierender Ansatz angewendet, um die Rechen- und Speicherressourcen der NPU zu erkunden and optimieren. Die gesamte Arbeit umfasst mehrere verschiedene Bereiche, von der Algorithmusforschung bis zum Hardwaredesign. Sie alle arbeiten jedoch an der Verbesserung der Inferenz-Effizienz neuronaler Netze. Die Optimierung der Algorithmen zielt insbesondere darauf ab, den Speicherbedarf und die Rechenkosten von neuronalen Netzen zu verringern. Das NPU-Design hingegen konzentriert sich auf die Verbesserung der Nutzung von Hardwareressourcen. Der vorgeschlagene Ansatz zur gemeinsamen Entwicklung von Software und Hardware verkürzt den Entwurfszyklus und beschleunigt die Entwurfsiterationen. Die oben dargestellte Reihenfolge entspricht dem Aufbau dieser Dissertation. Jedes Kapitel ist einem Thema gewidmet und umfasst relevante Forschungsarbeiten, Methodik und Versuchsergebnisse.:1 Introduction 2 Convolutional Neural Networks 2.1 Convolutional layer 2.1.1 Padding 2.1.2 Convolution 2.1.3 Batch Normalization 2.1.4 Nonlinearity 2.2 Pooling Layer 2.3 Fully Connected Layer 2.4 Characterization 2.4.1 Composition of Operations and Parameters 2.4.2 Arithmetic Intensity 2.5 Optimization 3 Quantization with Double-Stage Squeeze-and-Threshold 19 3.1 Overview 3.1.1 Binarization 3.1.2 Multi-bit Quantization 3.2 Quantization of Convolutional Neural Networks 3.2.1 Quantization Scheme 3.2.2 Operator fusion of Conv2D 3.3 Activation Quantization with Squeeze-and-Threshold 3.3.1 Double-Stage Squeeze-and-Threshold 3.3.2 Inference Optimization 3.4 Experiment 3.4.1 Ablation Study of Squeeze-and-Threshold 3.4.2 Comparison with State-of-the-art Methods 3.5 Summary 4 Low-Precision Neural Architecture Search 39 4.1 Overview 4.2 Differentiable Architecture Search 4.2.1 Gumbel Softmax 4.2.2 Disadvantage and Solution 4.3 Low-Precision Differentiable Architecture Search 4.3.1 Convolution Sharing 4.3.2 Forward-and-Backward Scaling 4.3.3 Power Estimation 4.3.4 Architecture of Supernet 4.4 Experiment 4.4.1 Effectiveness of solutions to the dominance problem 4.4.2 Softmax and Gumbel Softmax 4.4.3 Optimizer and Inverted Learning Rate Scheduler 4.4.4 NAS Method Evaluation 4.4.5 Searched Model Analysis 4.4.6 NAS Cost Analysis 4.4.7 NAS Training Analysis 4.5 Summary 5 Configurable Sparse Neural Processing Unit 65 5.1 Overview 5.2 NPU Architecture 5.2.1 Buffer 5.2.2 Reshapeable Mixed-Precision MAC Array 5.2.3 Sparsity 5.2.4 Post Process Unit 5.3 Mapping 5.3.1 Mixed-Precision MAC 5.3.2 MAC Array 5.3.3 Support of Other Operation 5.3.4 Configurability 5.4 Experiment 5.4.1 Performance Analysis of Runtime Configuration 5.4.2 Roofline Performance Analysis 5.4.3 Mixed-Precision 5.4.4 Comparison with Cortex-M7 5.5 Summary 6 Agile Development and Rapid Design Space Exploration 91 6.1 Overview 6.1.1 Agile Development 6.1.2 Design Space Exploration 6.2 Agile Development Infrastructure 6.2.1 Chisel Backend 6.2.2 NPU Software Stack 6.3 Modeling and Exploration 6.3.1 Area Modeling 6.3.2 Performance Modeling 6.3.3 Layered Exploration Framework 6.4 Experiment 6.4.1 Efficiency of Agile Development Infrastructure 6.4.2 Effectiveness of Agile Development Infrastructure 6.4.3 Area Modeling 6.4.4 Performance Modeling 6.4.5 Rapid Exploration and Pareto Front 6.5 Summary 7 Summary and Outlook 123 7.1 Summary 7.2 Outlook A Appendix of Double-Stage ST Quantization 127 A.1 Training setting of ResNet-18 in Table 3.3 A.2 Training setting of ReActNet in Table 3.4 A.3 Training setting of ResNet-18 in Table 3.4 A.4 Pseudocode Implementation of Double-Stage ST B Appendix of Low-Precision Neural Architecture Search 131 B.1 Low-Precision NAS on CIFAR-10 B.2 Low-Precision NAS on Tiny-ImageNet B.3 Low-Precision NAS on ImageNet Bibliography 137 / Deploying neural networks on edge devices and bringing them into our daily lives is attracting more and more attention. However, its expensive computational cost makes many embedded applications daunting. The primary objective of my doctoral studies is to make contributions towards resolving this predicament: optimizing neural networks and designing corresponding efficient neural processing units for edge devices. This work took algorithmic research, specifically the optimization of deep neural networks, as a starting point and then applied its findings to steer the architecture design of Neural Processing Units (NPUs). The optimization of neural network models started with single precision neural network quantization and progressed to mixed precision. The NPU architecture development followed the algorithmic research findings to achieve hardware/software co-design. Furthermore, a new approach to hardware and software co-development was introduced, aimed at expediting the prototyping and performance assessment of NPUs. This approach targets early-stage development. It helps developers to focus on the design and optimization of NPUs and significantly shortens the development cycle. In the final project, a machine learning-based approach was applied to explore and optimize the computational and memory resources of the NPU. The entire work covers several different areas, from algorithmic research to hardware design. But they all work on improving the inference efficiency of neural networks. Specifically, algorithm optimization aims to reduce the memory footprint and computational cost of neural networks. The NPU design, on the other hand, focuses on improving the utilization of hardware resources. The proposed software and hardware co-development approach shortens the design cycle and speeds up the design iteration. The order presented above corresponds to the structure of this dissertation. Each chapter corresponds to a topic and covers relevant research, methodology, and experimental results.:1 Introduction 2 Convolutional Neural Networks 2.1 Convolutional layer 2.1.1 Padding 2.1.2 Convolution 2.1.3 Batch Normalization 2.1.4 Nonlinearity 2.2 Pooling Layer 2.3 Fully Connected Layer 2.4 Characterization 2.4.1 Composition of Operations and Parameters 2.4.2 Arithmetic Intensity 2.5 Optimization 3 Quantization with Double-Stage Squeeze-and-Threshold 19 3.1 Overview 3.1.1 Binarization 3.1.2 Multi-bit Quantization 3.2 Quantization of Convolutional Neural Networks 3.2.1 Quantization Scheme 3.2.2 Operator fusion of Conv2D 3.3 Activation Quantization with Squeeze-and-Threshold 3.3.1 Double-Stage Squeeze-and-Threshold 3.3.2 Inference Optimization 3.4 Experiment 3.4.1 Ablation Study of Squeeze-and-Threshold 3.4.2 Comparison with State-of-the-art Methods 3.5 Summary 4 Low-Precision Neural Architecture Search 39 4.1 Overview 4.2 Differentiable Architecture Search 4.2.1 Gumbel Softmax 4.2.2 Disadvantage and Solution 4.3 Low-Precision Differentiable Architecture Search 4.3.1 Convolution Sharing 4.3.2 Forward-and-Backward Scaling 4.3.3 Power Estimation 4.3.4 Architecture of Supernet 4.4 Experiment 4.4.1 Effectiveness of solutions to the dominance problem 4.4.2 Softmax and Gumbel Softmax 4.4.3 Optimizer and Inverted Learning Rate Scheduler 4.4.4 NAS Method Evaluation 4.4.5 Searched Model Analysis 4.4.6 NAS Cost Analysis 4.4.7 NAS Training Analysis 4.5 Summary 5 Configurable Sparse Neural Processing Unit 65 5.1 Overview 5.2 NPU Architecture 5.2.1 Buffer 5.2.2 Reshapeable Mixed-Precision MAC Array 5.2.3 Sparsity 5.2.4 Post Process Unit 5.3 Mapping 5.3.1 Mixed-Precision MAC 5.3.2 MAC Array 5.3.3 Support of Other Operation 5.3.4 Configurability 5.4 Experiment 5.4.1 Performance Analysis of Runtime Configuration 5.4.2 Roofline Performance Analysis 5.4.3 Mixed-Precision 5.4.4 Comparison with Cortex-M7 5.5 Summary 6 Agile Development and Rapid Design Space Exploration 91 6.1 Overview 6.1.1 Agile Development 6.1.2 Design Space Exploration 6.2 Agile Development Infrastructure 6.2.1 Chisel Backend 6.2.2 NPU Software Stack 6.3 Modeling and Exploration 6.3.1 Area Modeling 6.3.2 Performance Modeling 6.3.3 Layered Exploration Framework 6.4 Experiment 6.4.1 Efficiency of Agile Development Infrastructure 6.4.2 Effectiveness of Agile Development Infrastructure 6.4.3 Area Modeling 6.4.4 Performance Modeling 6.4.5 Rapid Exploration and Pareto Front 6.5 Summary 7 Summary and Outlook 123 7.1 Summary 7.2 Outlook A Appendix of Double-Stage ST Quantization 127 A.1 Training setting of ResNet-18 in Table 3.3 A.2 Training setting of ReActNet in Table 3.4 A.3 Training setting of ResNet-18 in Table 3.4 A.4 Pseudocode Implementation of Double-Stage ST B Appendix of Low-Precision Neural Architecture Search 131 B.1 Low-Precision NAS on CIFAR-10 B.2 Low-Precision NAS on Tiny-ImageNet B.3 Low-Precision NAS on ImageNet Bibliography 137

This thesis examines the collaborative development of corporate responsibility (CR) standards from the perspective of organisational learning theory. The author proposes that standards development projects can be understood as Network Learning episodes where learning is reflected in changes in structures, interpretations and practices accompanied by learning processes. Network Learning alone is seen as insufficient to reflect the diverse contributions and outcomes in the special case of CR standards. Concepts from multi-stakeholder learning like the role of dissensus in learning and the empowerment of weaker stakeholders are therefore used to create a synthesis of the two theories in a single conceptual framework. This framework is then tested against a pilot case and three case studies of corporate social responsibility (CSR) standards including the development of the new ISO international standard on social responsibility (SR). The data validates and extended this framework to yield a Multi-Stakeholder Network Learning theory capable of describing the how participants and non-participant stakeholders learn in this context. New concepts are generated from the data, like dislocated learning, which demonstrate how participants in the process and those they represent can experience quite different learning outcomes. Stakeholders whose learning is aligned with the learning of their participant representatives truly have a stake in these influential standards. However, where representatives fail to learn from those represented, the latter's stake is diminished. By shedding light on the mechanisms of effective collaborative learning this work contributes to learning theory, the practice of standardization and the normative stakeholder empowerment agenda.

Abstract: Title: An It consulting company and its relationship with customers Level: C-examination Bachelor’s degree in innovation, design and technology. IDT, 15hp. VT 17th Authors: Jonatan Clemens & Staffan Hjalmarsson Handler: Anette Strömberg Objective: The aim of the study was to investigate how a major company meets the users and their needs as well as where and how the interaction with the user is done. Suggestions for areas of change are proposed in connection with the completion of the study. Research questions: -How does a consulting firm work with customers/users? -Are their work methods similar to what is described as successful in research on customer involvement? -Can work processes be improved? Method: The authors have used the qualitative method that has been developed as oral semi-structured interviews. The study is based much on hermeneutic form which means that one summarizes his own interpretations to get a deeper understanding. Conclusion: A conjunction and analysis of theoretical areas dealt with and empirical information led to the conclusion that there are indications that the company largely do not work according to established research the paper deals with. Assignment purpose: The essay should mainly have contributed to a deeper understanding on the subject of customer relations and should contribute beneficial information for a consulting firm regarding their client work. / Sammanfattning: Titel: Ett IT-konsultföretag och dess relation till kunder Nivå: C-uppsats: Examensarbete för kandidatexamen i innovationsteknik 15.0 hp. VT 17. Författarna: Jonatan Clemens & Staffan Hjalmarsson Handledare: Anette Strömberg Datum: 2016-11-07 - 2017-01-12 Syfte: Syftet med studien var att undersöka hur ett större företag möter användare och deras behov samt var och hur interaktion med dessa användare sker. Förslag på förändringsområden föreslås i samband med fullföljd studie. Forskningsfrågor: -Hur arbetar ett konsultföretag med kunder/användare? -Liknar deras arbetssätt vad som beskrivs som framgångsrikt i forskning om kundinvolvering? -Kan arbetsprocesserna förbättras? Metod: Författarna har använt sig av en kvalitativ metod som tagits fram i form av muntliga semistrukturerade intervjuer. Studien Bygger mycket på hermeneutisk form som innebär att man sammanfattar sina egna tolkningar för att få en djupare förståelse. Resultat: En sammanvägning och analys av genomgångna teoretiska områden och empiri gav slutsatsen att det finns indikationer på att företaget till stor del inte arbetar efter etablerad forskning uppsatsen behandlar. Uppsatsens bidrag: Uppsatsen har framförallt bidragit till en djupare förståelse kring ämnet kundrelationer samt ska bidra med fördelaktig information för konsultföretaget gällande deras arbete.

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

La caractérisation des applications en vue de les préparer pour les nouvelles architectures et les porter sur des systèmes très étendus est une étape importante pour pouvoir anticiper les modifications nécessaires. Comme les machines Exascale sont prévues pour la période 2018-2020, l'étude des applications et leur préparation pour ces machines s'avèrent donc essentielles. Nous nous intéressons aux applications d'imagerie sismique et en particulier à l'application Reverse Time Migration (RTM) car elle est très utilisée par les pétroliers dans le cadre de l'exploration sismique.La première partie de nos travaux a porté sur l'étude du cœur de calcul de l'application RTM qui consiste en un calcul de différences finies dans le domaine temporel (FDTD). Nous avons caractérisé cette partie de l'application en soulevant les aspects architecturaux des machines actuelles ayant un fort impact sur la performance, notamment les caches, les bandes passantes et le prefetching. Cette étude a abouti à l'élaboration d'un modèle de performance permettant de prédire le trafic DRAM des FDTD. La deuxième partie de la thèse se focalise sur l'impact de l'hétérogénéité et le parallélisme sur la FDTD et sur RTM. Nous avons choisi l'architecture manycore d’Intel, Xeon Phi, et nous avons étudié une implémentation "native" et une implémentation hétérogène et hybride, la version "symmetric". Enfin, nous avons porté l'application RTM sur un cluster hétérogène, Stampede du Texas Advanced Computing Center (TACC), où nous avons effectué des tests de scalabilité allant jusqu'à 64 nœuds contenant des coprocesseurs Xeon Phi et des processeurs Sandy Bridge ce qui correspond à presque 5000 cœurs / As we are expecting Exascale systems for the 2018-2020 time frame, performance analysis and characterization of applications for new processor architectures and large scale systems are important tasks that permit to anticipate the required changes to efficiently exploit the future HPC systems. This thesis focuses on seismic imaging applications used for modeling complex physical phenomena, in particular the depth imaging application called Reverse Time Migration (RTM). My first contribution consists in characterizing and modeling the performance of the computational core of RTM which is based on finite-difference time-domain (FDTD) computations. I identify and explore the major tuning parameters influencing performance and the interaction between the architecture and the application. The second contribution is an analysis to identify the challenges for a hybrid and heterogeneous implementation of FDTD for manycore architectures. We target Intel’s first Xeon Phi co-processor, the Knights Corner. This architecture is an interesting proxy for our study since it contains some of the expected features of an Exascale system: concurrency and heterogeneity.My third contribution is an extension of the performance analysis and modeling to the full RTM. This adds communications and IOs to the computation part. RTM is a data intensive application and requires the storage of intermediate values of the computational field resulting in expensive IO accesses. My fourth contribution is the final measurement and model validation of my hybrid RTM implementation on a large system. This has been done on Stampede, a machine of the Texas Advanced Computing Center (TACC), which allows us to test the scalability up to 64 nodes each containing one 61-core Xeon Phi and two 8-core CPUs for a total close to 5000 heterogeneous cores

This case study provides new insights on the designer role in co-design processes. Co-design has shifted the designer role into a facilitator, which requires a new skillset. In this thesis, this new role is investigated through the three psychological constructs; empowerment, ownership and power dynamics. The process consists of two main parts: pre-study and case study. In the pre-study, designers with different roles are interviewed about co-design. In the case study, three co-design sessions are observed and the facilitators interviewed in retrospect. Several strategies and actions are identified for empowering participants, some for the participants to feel ownership and almost none for balancing out power dynamics. The identified strategies include using straightforward methods and having a selfless mindset. However, there are indications that long term relationships are prioritized over actual outputs. This notion might be explained by the fact that the case companies are consultants. The need to always satisfy the clients makes the facilitators disregard some of the power differences in the room.

In modern cyber-physical systems (CPSs) where the control signals are generally transmitted via shared communication networks, there is a desire to balance the closed-loop control performance with the communication cost necessary to achieve it. In this context, aperiodic real-time scheduling of control tasks comes into being and has received increasing attention recently. It is well known that model predictive control (MPC) is currently widely utilized in industrial control systems and has greatly increased profits in comparison with the proportional integral-derivative (PID) control. As communication and networks play more and more important roles in modern society, there is a great trend to upgrade and transform traditional industrial systems into CPSs, which naturally requires extending conventional MPC to communication-efficient MPC to save network resources. Motivated by this fact, we in this thesis propose robust MPC and scheduling co-design algorithms to networked CPSs possibly affected by both parameter uncertainties and additive disturbances. In Chapter 2, a dynamic event-triggered robust tube-based MPC for constrained linear systems with additive disturbances is developed, where a time-varying pre-stabilizing gain is obtained by interpolating multiple static state feedbacks and the interpolating coefficient is determined via optimization at the time instants when the MPC-based control is triggered. The original constraints are properly tightened to achieve robust constraint optimization and a sequence of dynamic sets used to test events are derived according to the optimized coefficient. We theoretically show that the proposed algorithm is recursively feasible and the closed-loop system is input-to-state stable (ISS) in the attraction region. Numerical results are presented to verify the design. In Chapter 3, a self-triggered min-max MPC strategy is developed for constrained nonlinear systems subject to both parametric uncertainties and additive disturbances, where the robust constraint satisfaction is achieved by considering the worst case of all possible uncertainty realizations. First, we propose a new cost function that relaxes the penalty on the system state in a time period where the controller will not be invoked. With this cost function, the next triggering time instant can be obtained at current time instant by solving a min-max optimization problem where the maximum triggering period becomes a decision variable. The proposed strategy is proved to be input-to-state practical stable (ISpS) in the attraction region at triggering time instants under some standard assumptions. Extensions are made to linear systems with additive disturbances, for which the conditions reduce to a linear matrix inequality (LMI). Comprehensive numerical experiments are performed to verify the correctness of the theoretical results. / Graduate

Jewellery as a tool in the identification of the deceased is increasingly referenced within the scientific process of Forensic Human Identification (FHI). Jewellery’s prevalence in society, connection to both place and geographic region, potential to corroborate primary methods of identification (such as DNA, fingerprinting, or odontology), and robust physical form, means it progressively contributes to practices surrounding identification in a number of forensic fields. Physical marks or characteristics such as hallmarks or serial numbers, personal inscriptions or engravings, representational symbols (such as medals, badges of office, religious iconography or military insignia), and genealogical or gemmological markings, may also prove useful in informing investigators much about a piece - and potentially - the individual to whom it may have belonged. Despite this, jewellery is an approach to establishing human identity that has yet to be explicitly investigated from the perspective of either forensic science or jewellery design. The aim of this research has been to explore the potential of jewellery and highlight its significance within this context, through employing the processes and approaches of design. Informed by my own background in both jewellery and service design; I sought to co-design the interdisciplinary proposition of Forensic Jewellery as an extension of my own personal design practice, in addition to a broader hybrid methodology through which the dualistic perspective(s) of both forensic science and jewellery design may come to be mutually explored. By centring my methodology upon my practice, the research serves to document and reflect upon my auto-ethnographic experiences in inadvertently ‘prototyping’ my emergent new role as a Forensic Jeweller – a jewellery designer engaged within, or whose work pertains to, the field of forensic science. Through a range of forensic-based fieldwork, I sought to immerse myself within various communities of forensic practice by way of considering how a design practitioner may come to add value to this otherwise polarised field - a highly subjective and interpretive framework that has remained wholly unconsidered within forensic science. In simultaneously considering the impact of the perspective of forensics upon the broader field of jewellery design, I came to capture some of the otherwise restricted narratives of Forensic Jewellery emerging from the developing research context through a series of theoretically-informed design ‘reconstructions’: objects, concepts, and scenarios (representational, propositional, and metaphorical); educational material, and series of public engagement activities. The research thus culminates in a unique portfolio of practice – written, conceptual, and visual – with relevance to both forensic science and jewellery design history, theory, and practice. Original contributions to knowledge are demonstrated through the direct study of jewellery within real-world forensic settings through combined theory and practice, while the theoretical and conceptual debates surrounding identity, death, and the human body present within the field of jewellery design are simultaneously extended through the inclusion of forensics as a perspective. The research additionally demonstrates how the visual and tangible sensibilities of design can help to attend to otherwise challenging, emotional, or difficult subjects, capture and communicate tacit knowledge or anecdotal evidence, and ultimately contribute to the development of new and emergent research contexts.

Submitted by William Justo Figueiro (williamjf) on 2015-07-08T20:39:25Z No. of bitstreams: 1 01b.pdf: 2119244 bytes, checksum: 602de758dff9b7e00a3b45ff92be7875 (MD5) / Made available in DSpace on 2015-07-08T20:39:25Z (GMT). No. of bitstreams: 1 01b.pdf: 2119244 bytes, checksum: 602de758dff9b7e00a3b45ff92be7875 (MD5) Previous issue date: 2013 / Nenhuma / O processo de desenvolvimento de novos produtos apresenta-se como uma prática cada vez mais colaborativa. A partir de um modelo de inovação aberta que reconhece o valor das ideias geradas fora dos seus limites, as empresas passam a inserir participantes externos em diversas etapas da cadeia de criação de valor. Nesse sentido, o objetivo deste trabalho é discutir a interação entre atores externos e organizações que ocorre especificamente na etapa de design do desenvolvimento de novos produtos, no processo denominado codesign. Para tanto, é desenvolvida uma pesquisa-ação no âmbito de um projeto de codesign entre uma empresa do setor calçadista, usuários dos seus produtos e outros atores externos, focando na atuação do designer e no seu papel de mediação nas interações projetuais. Os principais resultados obtidos são a discussão da geração coletiva de conhecimento em um processo de codesign realizado em âmbito organizacional, da identificação dos atores e de seus papeis, da função de plataformas on-line, do uso de ferramentas projetuais. Finalmente, a pesquisa aponta para a possibilidade do codesign assumir um valor estratégico para o desenvolvimento organizacional. / The process of new product development is presented as a more collaborative practice. From an open innovation model that recognizes the value of ideas generated outside its limits, companies come to insert external participants in various stages of the value creation chain. From this, our goal is to analyze the interaction between external actors and organizations that occurs specifically in the design stage of new product development, in a process called co-design. For this, is developed an action research that involves a co-design project between company, users of their products and other external participants, focusing into the involvement of the designer and its role in mediating project interactions. The main results are the discussion of the collective generation of knowledge in a co-design process performed in the organizational context, the identification of the actors and their roles, the role of online platforms, the use of projective tools. Finally, the research points to the possibility of co-design assuming a strategic value for organizational development.

Submitted by William Justo Figueiro (williamjf) on 2015-07-08T23:00:52Z No. of bitstreams: 1 14b.pdf: 24498229 bytes, checksum: ec699a354ffbcf3b557be1b79222896d (MD5) / Made available in DSpace on 2015-07-08T23:00:52Z (GMT). No. of bitstreams: 1 14b.pdf: 24498229 bytes, checksum: ec699a354ffbcf3b557be1b79222896d (MD5) Previous issue date: 2013-03-26 / UNISINOS - Universidade do Vale do Rio dos Sinos / A era da informação trouxe mudanças essenciais nos sistemas de produção, distribuição e consumo. Essas transformações têm conduzido a mudanças nos processos de Design, hoje desenvolvidos por redes de projeto cada vez mais complexas: amplas, abertas, interdisciplinares, interfuncionais e interoganizacionais. Nesse contexto, a técnica de construção de cenários pode ser particularmente útil para aproximar os diversos atores ao redor de determinadas questões facilitando o compartilhamento de informação e a elaboração colaborativa de conhecimentos projetuais. Apesar da prática disciplinar já usar essa técnica difusamente, ainda são raros os estudos que enfrentam a construção de cenários especificamente dentro dos limites do processo projetual. Com isso, o objetivo geral desta pesquisa é discutir os processos de projetação por cenário à luz das transformações sociais, tecnológicas e, consequentemente, disciplinares. Para tanto, a estratégia da pesquisa-ação foi escolhida para observar ativamente o desempenho dos atores ao longo dos processos de construção de cenários. As atividades de pesquisa e projeto foram desenvolvidas junto ao Projeto Rede Sow. Trata-se de um projeto colaborativo que envolve o desenvolvimento tecnológico de uma plataforma web para o compartilhamento de informações entre os moradores de uma comunidade local. O projeto é coordenado pelo Pólo de Inovação Tecnológica do Vale do Paranhana - Encosta da Serra e pelas Faculdades Integradas de Taquara com recursos da Secretaria da Ciência, Inovação e Desenvolvimento Tecnológico do RS. A discussão realizada neste trabalho buscou contemplar aspectos relacionados ao significado e aos processos associados aos cenários para avançar na direção de uma tecnologia capaz de mediar a complexidade das redes de projeto colaborativas. Como resultados observa-se que os cenários podem ser entendidos como um evento capaz de incluir as interações entre os atores nos processos de co-design. Além disso, o trabalho evidenciou que o uso dos cenários pode caracterizar uma estratégia projetual específica. Discutiu-se a respeito do "projeto por cenários", uma tecnologia que pode catalisar o caráter estratégico do design com técnicas de construção especialmente focadas na flexibilidade. / The evolving information age has brought essential changes in production, distribution and consumption systems. Such transformation has conducted to changes in design processes, currently developed by complex design networks: they are open, interdisciplinary, cross-functional and interorganizational. In said context, scenario building techniques might be particularly useful for approaching the many actors involved towards certain issues as it aids the sharing of information and the elaboration of collaborative design knowledge. Even though the discipline diffusely employs this method, studies lack to refer to scenario building within the limits set out to design processes. Therefore, the main objective of this research is to discuss scenario building processes from the perspective of social, technological and disciplinary transformations. For that reason, an action-research strategy was chosen to allow active observation of the actors’ performance while building scenarios. Research and project were developed along the Sow Network Project, which is a collaborative enterprise focusing on the technological development of a web platform that allows information sharing among residents of a local community. The project is coordinated by a regional Technology Innovation Cluster (Pólo de Inovação Tecnológica do Vale do Paranhana – Encosta da Serra) and a local college (Faculdades Integradas de Taquara), and is funded by Rio Grande do Sul’s Department of Sciences, Innovation and Technologic Development. The reflections accomplished in this research contemplate issues associated with meaning and scenario building processes towards achieving a technology that enables mediating the complexity of collaborative design networks. As for the results, we have observed that scenarios could be understood as events that include interaction among the actors in codesign processes. Furthermore, it was evidenced that scenario practices are able to define a specific design strategy. The idea of “designing through scenarios” was discussed, as it is a technology that might catalyze the strategic feature of design by using building methods mainly focused on flexibility.