Healthcare systems, driven by increased demand due to growth in chronic diseases and population, suffer from lack of staffing and facility resources. Many major hospitals have long waiting lists and have subsequently pushed their production close to maximum capacity due to the high demand for services. The consequences are lack of overview of the operations and lack of coordination between healthcare staff, which leads to treatment delays. Surgery planning or scheduling is an important part of production planning in hospitals, which is considered highly complex due to high variability and many decisions variables that need to be considered. Those responsible for surgery planning are often considered to lack the right tools to support them in evaluating the many different decision factors.   Simulation is a technology within the field of operations research which has been applied to aid with surgery planning problems and to look for process improvements. Many studies however use a simplified approach to the surgery planning, due to the complexities of the planning problem. Studies have further argued that surgery planning fails to consider downstream resources and the negative effects it has on utilization of those resources. This thesis is based on a case study at one of Sweden’s major hospitals and aims to explore how simulation could become a decision support to help with surgery planning and identifying what process improvements such a tool could be aimed at. The surgery planning decision making process is first analyzed using a hierarchical framework for hospitals’ production planning. The results were that the decision making process regarding patient flows needs to be improved by taking both a top-down and bottom-up strategy for better information flow and coordination. The study further concludes that improved coordination and information sharing are important factors to improve patient flow through the hospital, which could be supported by the usage of Discrete Event Simulation for decision making. The ideal decision support tool is however considered the simulation tool embedded with an online system to support bed management decisions which could increase patient throughput. Such a tool could help to decrease the demand for the hospital’s beds by discharging patients quicker. In addition, it could support the bottom-up strategy for coordination, while implementing a multi-method or hybrid simulation could further support the top-down part of the strategy.

Energy management concerns were raised in France after the oil crisis in the 1970s. From then, the local actors developed policies to better control the energy production and consumption on the territories. Climate considerations and the need to limit greenhouse gases (GHG) emissions were then added to these energy issues in the early 2000s. The Climate Plans first appeared in France in 2004, in the National Climate Plan. This regulatory document outlined the desire to apply national and European energy and climate objectives at the territorial level. This initiative laid the foundations for the principle of territorial climate-air-energy planning, which became statutory in 2015 for Public Establishment of Intercommunal Cooperation with over 50,000 inhabitants. A regulatory framework has defined the ins and outs of this planning exercise, but the first results have shown that not all local authorities have fully taken up these planning issues, due to a lack of internal competence, means and method to answer the formal exercise. Tot heir credit, the regulatory objectives imposed by the National Low Carbon Strategy were quickly judged to be out of touch and disconnected from local reality, particularly for industrial territories. More recently, a growing number of local authorities have chosen to flesh out their territorial strategy by drawing up an Energy Master Plan, a roadmap that outlines a comprehensive and integrated approach to managing energy resources. Based on a case study of the Urban Community of Dunkirk, this thesis investigates how local authorities have taken up these energy and climate planning challenges, the difficulties they face, and how the Plan Climat-Air-Energie Territoriaux (Local Climate Air Energy Plan) could become essential monitoring tools for the low-carbon transition of territories if they were equipped with real decision-support tools. The case of the Urban Community of Dunkirk is emblematic. Responsible for 4% of France's GHG emissions due to its port and industrial activities, the urban area has committed itself to implementing accelerated decarbonisation. An exploratory study is carried out based on a comparative analysis of the 2022 revised climate plan of the Urban Community of Dunkirk and the Energy Master Plan developed by the Greater Lyon Metropolis in 2019, as well as a series of interviews with the departments and researchers specialising in environmental and territorial planning. On the one hand, results identified approximations in the calculations of emissions reduction, and in particular on the formulation of the working and calculation hypotheses for energy and carbon trends by 2050 in the revised climate plan of the Urban Community of Dunkirk. They led to a lack of clarity in the presentation of the territorial strategy defined by the community. On the other hand, results showed that the Energy Master Plan of Grand Lyon allows to build a more robust action plan, whose strength lies in integrating economic, temporal, technical and governance issues. However, a number of limitations have been identified, related to the cumbersome nature of implementing integrated tools for local authorities and the rapid obsolescence of the energy diagnoses carried out on territories resulting from a difficult updating process. Finally, results showed that the decision-support tools that will be developed must meet the technical needs of fine-tuned modelling of territories, the practical needs of coordinating actions over time and measuring their impact, and the cross-sectoral needs of organising governance between all the players involved. / Energifrågorna aktualiserades i Frankrike efter oljekrisen på 1970-talet. Därefter utvecklade de lokala aktörerna strategier för att hantera energiförbrukningen på sina territorier. Klimathänsyn och behovet av att begränsa utsläppen av växthusgaser lades sedan till dessa energifrågor i början av 2000-talet. Klimatplanerna dök först upp i Frankrike 2004, i den nationella klimatplanen. I detta lagstiftningsdokument beskrevs önskan att tillämpa nationella och europeiska energi- och klimatmål på territoriell nivå. Detta initiativ lade grunden till principen om lokal klimat-, luft- och energiplanering, som 2015 blev lagstadgad för offentliga inrättningar för interkommunalt samarbete med över 50 000 invånare. Ett regelverk har definierat hur denna planering ska gå till, men de första resultaten har visat att inte alla lokala myndigheter har tagit sig an dessa planeringsfrågor fullt ut, på grund av brist på intern kompetens, medel och metoder för att svara på den formella uppgiften. De lagstadgade mål som infördes genom den nationella strategin för låga koldioxidutsläpp bedömdes snabbt vara verklighetsfrämmande och inte kopplade till den lokala verkligheten, särskilt för industriområden. På senare tid har ett växande antal lokala myndigheter valt att konkretisera sin territoriella strategi genom att utarbeta en energiplan, en färdplan som beskriver en omfattande och integrerad strategi för att hantera energiresurser. Med utgångspunkt i en fallstudie av stadsregionen Dunkerque undersöker denna avhandling hur lokala myndigheter har tagit sig av dessa utmaningar inom energi- och klimatplanering, vilka svårigheter de möter och hur den lokala klimat- och energiplanen (Plan Climat-Air-Energie Territoriaux) skulle kunna bli viktiga övervakningsverktyg för den koldioxidsnåla omställningen av territorier om de utrustades med verkliga beslutsstödsverktyg. Fallet med den urbana gemenskapen i Dunkerque är emblematiskt. Stadsområdet står för 4% av Frankrikes utsläpp av växthusgaser på grund av sin hamn- och industriverksamhet, och har åtagit sig att genomföra en snabbare utfasning av fossila bränslen. En explorativ studie genomförs baserad på en jämförande analys av den reviderade klimatplanen 2022 för Dunkerque och Energy Master Plan som utvecklades av Greater Lyon Metropolis 2019, samt en serie intervjuer med avdelningar och forskare som är specialiserade på miljö- och territoriell planering. Å ena sidan identifierar resultaten approximationer i beräkningarna av utsläppsminskningar, och i synnerhet i formuleringen av arbets- och beräkningshypoteser för energi- och koldioxidtrender fram till 2050 i den reviderade klimatplanen för Dunkerques stadsgemenskap. De leder till en brist på tydlighet i presentationen av den territoriella strategi som fastställts av kommunen. Å andra sidan visar resultaten att Grand Lyons energimasterplan gör det möjligt att bygga en mer robust handlingsplan, vars styrka ligger i att integrera ekonomiska, tidsmässiga, tekniska och styrningsfrågor. Vi har dock identifierat ett antal begränsningar som rör den besvärliga implementeringen av integrerade verktyg för lokala myndigheter och den snabba föråldringen av de energidiagnoser som utförts på territorier till följd av en svår uppdateringsprocess. Slutligen visade sig att det behövs utveckla beslutsverktyg som måste uppfylla de tekniska behoven av finjusterad modellering av territorier, de praktiska behoven av att samordna åtgärder över tid och mäta deras effekter, samt de sektorsövergripande behoven av att organisera styrning mellan alla aktörer som är involverade.

This thesis aims to study the design possibilities for supporting explorative form-finding in 3D modeling applications. For today’s many design professions, 3D forms are achieved partly in engagement with digital environments. Use of software has far exceeded final idea execution, extending to the early phases of design work in which the outcome is not predetermined. This insight led designers of interactive systems support sketching and ideating activities by reducing the risk of experimentation and cognitive effort demanded from user. Yet, there has been less emphasis on traditional design and craft practice that acknowledges engagement with materials and effort spent on work as an integral part of creative process.The notion of exploration in the scope of this thesis attempts to incorporate such aspects. Relevant literature about workshop practice in design and craft has been reviewed, as well as examples of CAD technologies that aid designers. In this light, HCI perspectives on the design of creativity support tools and games have been discussed. The thesis work aimed to concretize this background by building a design strategy and an interactive artifact. A 3D form-finding application concept using objects in modeling space to indirectly manipulate geometry, “kfields”, has been developed and evaluated with users at various stages. The thesis concludes by reflecting on the findings of different design stages and proposing further directions for design.

La transition énergétique est un enjeu majeur actuel et des années à venir. Parmi les défis qu’elle va soulever figure la limitation des impacts environnementaux de la production d’électricité. Pour cela, des outils d’aide à la décision, simples d’utilisation et suffisamment précis, considérant les aspects environnementaux et permettant d’optimiser les choix énergétiques futurs, doivent être mis en place. L’analyse environnementale d’une filière de conversion d’énergie est un sujet complexe. Elle comporte en effet deux niveaux. Le niveau « filière », caractérise le profil global d’impacts environnementaux des systèmes, et le niveau « système » caractérise leurs impacts, permettant ainsi une analyse intra-filière. Pour répondre à ce besoin de caractérisation en deux niveaux, nous proposons une méthodologie générique permettant de développer des modèles d’estimation des profils environnementaux de chacune des filières et d’estimer simplement ceux des systèmes qui la composent sans avoir à réaliser une étude détaillée. Cette méthodologie repose sur la définition d’un modèle d’Analyse de Cycle de Vie paramétré prenant en compte, par Analyse Globale de Sensibilité, un large échantillon de systèmes représentatif des configurations observées en pratique au sein des filières. Dans un second temps, des modèles simplifiés estimant les performances environnementales des systèmes sont définis, en fonction de quelques paramètres clefs identifiés comme expliquant la plus grande part de variance des impacts environnementaux de la filière. Cette méthodologie de réduction de modèle a été appliquée à la filière éolienne terrestre en Europe et à la filière photovoltaïque résidentielle en France. / The energy transition debate is a key issue for today and the coming years. One of the challenges is to limit the environmental impacts of electricity production. Decision support tools, sufficiently accurate, simple to use, accounting for environmental aspects and favoring future energetic choices, must be implemented. However, the environmental assessment of the energy pathways is complex, and it means considering a two levels characterization. The “energy pathway” is the 1st level and corresponds to its environmental distribution, to compare overall pathways. The “system pathway” is the 2nd level and compares environmental impacts of systems within each pathway. We have devised a generic methodology covering both necessary characterization levels by estimating the energy pathways environmental profiles while allowing a simple comparison of its systems environmental impacts. This methodology is based on the definition of a parameterized Life Cycle Assessment model and considers, through a Global Sensitivity Analysis, the environmental impacts of a large sample of systems representative of an energy pathway. As a second step, this methodology defines simplified models based on few key parameters identified as inducing the largest variability in the energy pathway environmental impacts. These models assess in a simple way the systems environmental impacts, avoiding any complex LCAs. This reduction methodology has been applied to the onshore wind power energy pathway in Europe and the photovoltaic energy pathway in France.

Advancements in creative artificial intelligence (AI) are leading to systems that can actively work together with designers in tasks such as ideation, i.e. the creation, development, and communication of ideas. In human group work, making suggestions and explaining the reasoning behind them as well as comprehending other group member’s explanations aids reflection, trust, alignment of goals and inspiration through diverse perspectives. Despite their ability to inspire through independent suggestions, state-of-the-art creative AI systems do not leverage these advantages of group work due to missing or one-sided explanations. For other use cases, AI systems that explain their reasoning are already gathering wide research interest. However, there is a knowledge gap on the effects of explanations on creativity. Furthermore, it is unknown whether a user can benefit from also explaining their contributions to an AI system. This thesis investigates whether reciprocal explanations, a novel technique which combines explanations from and to an AI system, improve the designers’ and AI’s joint exploration of ideas. I integrated reciprocal explanations into an AI aided tool for mood board design, a common method for ideation. In our implementation, the AI system uses text to explain which features of its suggestions match or complement the current mood board. Occasionally, it asks for user explanations providing several options for answers that it reacts to by aligning its strategy. A study was conducted with 16 professional designers who used the tool to create mood boards followed by presentations and semi-structured interviews. The study emphasized a need for explanations that make the principles of the system transparent and showed that alignment of goals motivated participants to provide explanations to the system. Also, enabling users to explain their contributions to the AI system facilitated reflection on their own reasons. / Framsteg inom kreativ artificiell intelligens (AI) har lett till system som aktivt kan samarbeta med designers under idéutformningsprocessen, dvs vid skapande, utveckling och kommunikation av idéer. I grupparbete är det viktigt att kunna göra förslag och förklara resonemanget bakom dem, samt förstå de andra gruppmedlemmarnas resonemang. Detta ökar reflektionsförmågan och förtroende hos medlemmarna, samt underlättar sammanjämkning av mål och ger inspiration genom att höra olika perspektiv. Trots att system, baserade på kreativ artificiell intelligens, har förmågan att inspirera genom sina oberoende förslag, utnyttjar de allra senaste kreativa AI-systemen inte dessa fördelar för att facilitera grupparbete. Detta är på grund av AI-systemens bristfälliga förmåga att resonera över sina förslag. Resonemangen är ofta ensidiga, eller saknas totalt. AI-system som kan förklara sina resonemang är redan ett stort forskningsintresse inom många användningsområden. Dock finns det brist på kunskap om AI-systemens påverkan på den kreativa processen. Dessutom är det okänt om en användare verkligen kan dra nytta av möjligheten att kunna förklara sina designbeslut till ett AI-system. Denna avhandling undersöker om ömsesidiga förklaringar, en ny teknik som kombinerar förklaringar från och till ett AI system, kan förbättra designerns och AI:s samarbete under utforskningen av idéer. Jag integrerade ömsesidiga förklaringar i ett AI-hjälpmedel som underlättar skapandet av stämningsplank (eng. mood board), som är en vanlig metod för konceptutveckling. I vår implementering använder AI-systemet textbeskrivningar för att förklara vilka delar av dess förslag som matchar eller kompletterar det nuvarande stämningsplanket. Ibland ber den användaren ge förklaringar, så den kan anpassa sin förslagsstrategi efter användarens önskemål. Vi genomförde en studie med 16 professionella designers som använde verktyget för att skapa stämningsplank. Feedback samlades genom presentationer och semistrukturerade intervjuer. Studien betonade behovet av förklaringar och resonemang som gör principerna bakom AI-systemet transparenta för användaren. Höjd sammanjämkning mellan användarens och systemets mål motiverade deltagarna att ge förklaringar till systemet. Genom att göra det möjligt för användare att förklara sina designbeslut för AI-systemet, förbättrades också användarens reflektionsförmåga över sina val.

Creative artificial intelligence (AI) is often explored in terms of machine intelligence on a philosophical basis. As a counter-reaction, there have been calls for user-centered creative AI. This thesis aims to make visible creative practitioners’ needs, values, and ethical perspectives that might inform us on the construction of future creative AI tools. It also discusses the need for pragmatic aesthetics as a holistic design approach. Five artists of different backgrounds were invited to a co-speculative workshop where they expressed their thoughts and imaginings regarding creativity, creative tools, and AI. The results suggest that we need to be mindful of virtue ethics, N-creativity, exploration, intuition, trust, and agency when designing creative AI tools. Furthermore, the findings were used to propose design sensitivities aimed at AI researchers and designers. Future research is needed in order to make conclusions about the practical value of the proposed design sensitivities. / Kreativ artificiell intelligens (AI) undersöks ofta i termer av maskinintelligens med filosofiska grunder. Som en motreaktion har det förordnats mer användarcentrerad kreativ AI. Denna avhandling syftar till att synliggöra kreativa utövares behov, värderingar och etiska perspektiv som kan informera oss om hur framtida kreativa AI-verktyg bör konstrueras. Den diskuterar även behovet av pragmatisk estetik som en holistisk designstrategi. Fem konstnärer av olika bakgrund deltog i en samspekulativ workshop där de uttryckte sina tankar och föreställningar om kreativitet, kreativa verktyg och AI. Resultaten pekar på att dessa verktyg bör designas med begrepp som dygdetik, N-kreativitet, utforskande, intuition, tillit och datainverkan i åtanke. Vidare användes resultaten för att föreslå designkänsligheter riktade till AI-forskare och designers. Vidare forskning krävs för att kunna dra slutsatser kring designkänsligheternas praktiska nytta.

This master's thesis is oriented on software development processes improvement techniques. It presents modern approaches of process development and analyses problems of their management and usage in various life cycle phases. In connection with these techniques it brings draft of support tool, which increases automatization of processes development with pertinent cooperation with other tools, as one of presumptions of improvement of their quality.

<p>Field-edge buffers are a promising way to address nonpoint source pollution from agricultural runoff, but concentrated runoff flow often renders standard fixed-width linear buffers ineffective. AgBufferBuilder (ABB) is a tool within ESRI ArcMap Geographic Information Systems software that designs and evaluates targeted, nonlinear buffers based on hydrologic modeling and other field-specific parameters. We tested ABB on n=45 Areas of Interest (AOIs) stratified based on estimated sediment loading across three sub-watersheds within Michigan’s Saginaw Bay watershed to evaluate the effectiveness of ABB relative to existing practices across a wide range of landscape conditions. We modeled tractor movement around ABB buffer designs to assess more realistic versions of the likely final designs. ABB regularly failed to deliver the desired 75% sediment capture rate using default 9 m x 9 m output raster resolution, with Proposed buffers capturing from 0% to 68.49% of sediment within a given AOI (mean=37.56%). Differences in sediment capture between Proposed and Existing buffers (measured as Proposed – Existing) ranged from -48% to 66.81% of sediment (mean=24.70%). Proposed buffers were estimated to capture more sediment than Existing buffers in 37 of 45 AOIs, representing potential for real improvements over Existing buffers across the wider landscape. In 13 of 45 AOIs, ABB buffers modified for tractor movement captured more sediment than Existing buffers using less total buffer area. We conducted a collaborative design process with three Saginaw Bay watershed farmers to assess their willingness to implement ABB designs. Feedback indicated farmers may prefer in-field erosion control practices like cover cropping and grassed waterways over field-edge ABB designs. More farmer input is needed to better assess farmer perspectives on ABB buffers and to identify preferred data-based design alternatives. Engineered drainage systems with raised ditch berms and upslope catch basins piped underground directly into ditches were encountered several times during site visits. ABB only models surface flow and does not recognize drain output flow entering waterways. Modified ABB functionality that models buffers around drain inlets would greatly improve its functionality on drained sites. This may be accomplishable through modification of user-entered AOI margins but requires further investigation. Unfortunately, the existing tool is built for outdated software and is not widely accessible to non-expert users. We suggest that an update of this tool with additional functionality and user accessibility would be a useful addition in the toolbox of conservation professionals in agricultural landscapes.</p>