Enhancing Mesh Deformation Realism: Dynamic Mesostructure Detailing and Procedural Microstructure Synthesis

Propomos uma solução para gerar dados de mapas de relevo dinâmicos para simular deformações em superfícies macias, com foco na pele humana. A solução incorpora a simulação de rugas ao nível mesoestrutural e utiliza texturas procedurais para adicionar detalhes de microestrutura estáticos. Oferece flexibilidade além da pele humana, permitindo a geração de padrões que imitam deformações em outros materiais macios, como couro, durante a animação. As soluções existentes para simular rugas e pistas de deformação frequentemente dependem de hardware especializado, que é dispendioso e de difícil acesso. Além disso, depender exclusivamente de dados capturados limita a direção artística e dificulta a adaptação a mudanças. Em contraste, a solução proposta permite a síntese dinâmica de texturas que se adaptam às deformações subjacentes da malha de forma fisicamente plausível. Vários métodos foram explorados para sintetizar rugas diretamente na geometria, mas sofrem de limitações como auto-interseções e maiores requisitos de armazenamento. A intervenção manual de artistas na criação de mapas de rugas e mapas de tensão permite controle, mas pode ser limitada em deformações complexas ou onde maior realismo seja necessário. O nosso trabalho destaca o potencial dos métodos procedimentais para aprimorar a geração de padrões de deformação dinâmica, incluindo rugas, com maior controle criativo e sem depender de dados capturados. A incorporação de padrões procedimentais estáticos melhora o realismo, e a abordagem pode ser estendida além da pele para outros materiais macios.We propose a solution for generating dynamic heightmap data to simulate deformations for soft surfaces, with a focus on human skin. The solution incorporates mesostructure-level wrinkles and utilizes procedural textures to add static microstructure details. It offers flexibility beyond human skin, enabling the generation of patterns mimicking deformations in other soft materials, such as leater, during animation. Existing solutions for simulating wrinkles and deformation cues often rely on specialized hardware, which is costly and not easily accessible. Moreover, relying solely on captured data limits artistic direction and hinders adaptability to changes. In contrast, our proposed solution provides dynamic texture synthesis that adapts to underlying mesh deformations. Various methods have been explored to synthesize wrinkles directly to the geometry, but they suffer from limitations such as self-intersections and increased storage requirements. Manual intervention by artists using wrinkle maps and tension maps provides control but may be limited to the physics-based simulations. Our research presents the potential of procedural methods to enhance the generation of dynamic deformation patterns, including wrinkles, with greater creative control and without reliance on captured data. Incorporating static procedural patterns improves realism, and the approach can be extended to other soft-materials beyond skin

A model for soap film dynamics with evolving thickness

Previous research on animations of soap bubbles, films, and foams largely focuses on the motion and geometric shape of the bubble surface. These works neglect the evolution of the bubble’s thickness, which is normally responsible for visual phenomena like surface vortices, Newton’s interference patterns, capillary waves, and deformation-dependent rupturing of films in a foam. In this paper, we model these natural phenomena by introducing the film thickness as a reduced degree of freedom in the Navier-Stokes equations and deriving their equations of motion. We discretize the equations on a nonmanifold triangle mesh surface and couple it to an existing bubble solver. In doing so, we also introduce an incompressible fluid solver for 2.5D films and a novel advection algorithm for convecting fields across non-manifold surface junctions. Our simulations enhance state-of-the-art bubble solvers with additional effects caused by convection, rippling, draining, and evaporation of the thin film

Online Neural Path Guiding with Normalized Anisotropic Spherical Gaussians

The variance reduction speed of physically-based rendering is heavily affected by the adopted importance sampling technique. In this paper we propose a novel online framework to learn the spatial-varying density model with a single small neural network using stochastic ray samples. To achieve this task, we propose a novel closed-form density model called the normalized anisotropic spherical gaussian mixture, that can express complex irradiance fields with a small number of parameters. Our framework learns the distribution in a progressive manner and does not need any warm-up phases. Due to the compact and expressive representation of our density model, our framework can be implemented entirely on the GPU, allowing it produce high quality images with limited computational resources

Generative Street Addresses from Satellite Imagery

We describe our automatic generative algorithm to create street addresses from satellite images by learning and labeling roads, regions, and address cells. Currently, 75% of the world’s roads lack adequate street addressing systems. Recent geocoding initiatives tend to convert pure latitude and longitude information into a memorable form for unknown areas. However, settlements are identified by streets, and such addressing schemes are not coherent with the road topology. Instead, we propose a generative address design that maps the globe in accordance with streets. Our algorithm starts with extracting roads from satellite imagery by utilizing deep learning. Then, it uniquely labels the regions, roads, and structures using some graph- and proximity-based algorithms. We also extend our addressing scheme to (i) cover inaccessible areas following similar design principles; (ii) be inclusive and flexible for changes on the ground; and (iii) lead as a pioneer for a unified street-based global geodatabase. We present our results on an example of a developed city and multiple undeveloped cities. We also compare productivity on the basis of current ad hoc and new complete addresses. We conclude by contrasting our generative addresses to current industrial and open solutions. Keywords: road extraction; remote sensing; satellite imagery; machine learning; supervised learning; generative schemes; automatic geocodin

Augmented Reality Markerless Multi-Image Outdoor Tracking System for the Historical Buildings on Parliament Hill

[EN] Augmented Reality (AR) applications have experienced extraordinary growth recently, evolving into a well-established method for the dissemination and communication of content related to cultural heritage¿including education. AR applications have been used in museums and gallery exhibitions and virtual reconstructions of historic interiors. However, the circumstances of an outdoor environment can be problematic. This paper presents a methodology to develop immersive AR applications based on the recognition of outdoor buildings. To demonstrate this methodology, a case study focused on the Parliament Buildings National Historic Site in Ottawa, Canada has been conducted. The site is currently undergoing a multiyear rehabilitation program that will make access to parts of this national monument inaccessible to the public. AR experiences, including simulated photo merging of historic and present content, are proposed as one tool that can enrich the Parliament Hill visit during the rehabilitation. Outdoor AR experiences are limited by factors, such as variable lighting (and shadows) conditions, caused by changes in the environment (objects height and orientation, obstructions, occlusions), the weather, and the time of day. This paper proposes a workflow to solve some of these issues from a multi-image tracking approach.This work has been developed under the framework of the New Paradigms/New Tools for Heritage Conservation in Canada, a project funded through the Social Sciences and Humanities Research Council of Canada (SSHRC).Blanco-Pons, S.; Carrión-Ruiz, B.; Duong, M.; Chartrand, J.; Fai, S.; Lerma, JL. (2019). Augmented Reality Markerless Multi-Image Outdoor Tracking System for the Historical Buildings on Parliament Hill. Sustainability. 11(16):1-15. https://doi.org/10.3390/su11164268S1151116Bekele, M. K., Pierdicca, R., Frontoni, E., Malinverni, E. S., & Gain, J. (2018). A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage. Journal on Computing and Cultural Heritage, 11(2), 1-36. doi:10.1145/3145534Gimeno, J., Portalés, C., Coma, I., Fernández, M., & Martínez, B. (2017). Combining traditional and indirect augmented reality for indoor crowded environments. A case study on the Casa Batlló museum. Computers & Graphics, 69, 92-103. doi:10.1016/j.cag.2017.09.001Kolivand, H., El Rhalibi, A., Shahrizal Sunar, M., & Saba, T. (2018). ReVitAge: Realistic virtual heritage taking shadows and sky illumination into account. Journal of Cultural Heritage, 32, 166-175. doi:10.1016/j.culher.2018.01.020Amakawa, J., & Westin, J. (2017). New Philadelphia: using augmented reality to interpret slavery and reconstruction era historical sites. International Journal of Heritage Studies, 24(3), 315-331. doi:10.1080/13527258.2017.1378909Kim, J.-B., & Park, C. (2011). Development of Mobile AR Tour Application for the National Palace Museum of Korea. Lecture Notes in Computer Science, 55-60. doi:10.1007/978-3-642-22021-0_7Barrile, V., Fotia, A., Bilotta, G., & De Carlo, D. (2019). Integration of geomatics methodologies and creation of a cultural heritage app using augmented reality. Virtual Archaeology Review, 10(20), 40. doi:10.4995/var.2019.10361Analysis of Tracking Accuracy for Single-Camera Square-Marker-Based Tracking. In Third Workshop on Virtual and Augmented Reality of the GI-Fachgruppe VR/AR, Koblenz, Germany, 2006http://campar.in.tum.de/Chair/PublicationDetail?pub=pentenrieder2006giCirulis, A., & Brigmanis, K. B. (2013). 3D Outdoor Augmented Reality for Architecture and Urban Planning. Procedia Computer Science, 25, 71-79. doi:10.1016/j.procs.2013.11.009You, S., Neumann, U., & Azuma, R. (1999). Orientation tracking for outdoor augmented reality registration. IEEE Computer Graphics and Applications, 19(6), 36-42. doi:10.1109/38.799738Wither, J., Tsai, Y.-T., & Azuma, R. (2011). Indirect augmented reality. Computers & Graphics, 35(4), 810-822. doi:10.1016/j.cag.2011.04.010Radkowski, R., & Oliver, J. (2013). Natural Feature Tracking Augmented Reality for On-Site Assembly Assistance Systems. Lecture Notes in Computer Science, 281-290. doi:10.1007/978-3-642-39420-1_30Rao, J., Qiao, Y., Ren, F., Wang, J., & Du, Q. (2017). A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization. Sensors, 17(9), 1951. doi:10.3390/s17091951Hoppe, H., DeRose, T., Duchamp, T., McDonald, J., & Stuetzle, W. (1993). Mesh optimization. Proceedings of the 20th annual conference on Computer graphics and interactive techniques - SIGGRAPH ’93. doi:10.1145/166117.166119Rossignac, J., & Borrel, P. (1993). Multi-resolution 3D approximations for rendering complex scenes. Modeling in Computer Graphics, 455-465. doi:10.1007/978-3-642-78114-8_29Gross, M. H., Staadt, O. G., & Gatti, R. (1996). Efficient triangular surface approximations using wavelets and quadtree data structures. IEEE Transactions on Visualization and Computer Graphics, 2(2), 130-143. doi:10.1109/2945.506225Botsch, M., Pauly, M., Rossl, C., Bischoff, S., & Kobbelt, L. (2006). Geometric modeling based on triangle meshes. ACM SIGGRAPH 2006 Courses on - SIGGRAPH ’06. doi:10.1145/1185657.1185839Pietroni, N., Tarini, M., & Cignoni, P. (2010). Almost Isometric Mesh Parameterization through Abstract Domains. IEEE Transactions on Visualization and Computer Graphics, 16(4), 621-635. doi:10.1109/tvcg.2009.96Khan, D., Yan, D.-M., Ding, F., Zhuang, Y., & Zhang, X. (2018). Surface remeshing with robust user-guided segmentation. Computational Visual Media, 4(2), 113-122. doi:10.1007/s41095-018-0107-yGuidi, G., Russo, M., Ercoli, S., Remondino, F., Rizzi, A., & Menna, F. (2009). A Multi-Resolution Methodology for the 3D Modeling of Large and Complex Archeological Areas. International Journal of Architectural Computing, 7(1), 39-55. doi:10.1260/147807709788549439Remondino, F., & El-Hakim, S. (2006). Image-based 3D Modelling: A Review. The Photogrammetric Record, 21(115), 269-291. doi:10.1111/j.1477-9730.2006.00383.xBruno, F., Bruno, S., De Sensi, G., Luchi, M.-L., Mancuso, S., & Muzzupappa, M. (2010). From 3D reconstruction to virtual reality: A complete methodology for digital archaeological exhibition. Journal of Cultural Heritage, 11(1), 42-49. doi:10.1016/j.culher.2009.02.006Unity, The Photogrammetry Workflowhttps://unity.com/solutions/photogrammetry.Blanco, S., Carrión, B., & Lerma, J. L. (2016). REVIEW OF AUGMENTED REALITY AND VIRTUAL REALITY TECHNIQUES IN ROCK ART. Proceedings of the ARQUEOLÓGICA 2.0 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation. doi:10.4995/arqueologica8.2016.3561Behzadan, A. H., & Kamat, V. R. (2010). Scalable Algorithm for Resolving Incorrect Occlusion in Dynamic Augmented Reality Engineering Environments. Computer-Aided Civil and Infrastructure Engineering, 25(1), 3-19. doi:10.1111/j.1467-8667.2009.00601.xTian, Y., Long, Y., Xia, D., Yao, H., & Zhang, J. (2015). Handling occlusions in augmented reality based on 3D reconstruction method. Neurocomputing, 156, 96-104. doi:10.1016/j.neucom.2014.12.081Tian, Y., Guan, T., & Wang, C. (2010). Real-Time Occlusion Handling in Augmented Reality Based on an Object Tracking Approach. Sensors, 10(4), 2885-2900. doi:10.3390/s10040288

Applied Visualization in the Neurosciences and the Enhancement of Visualization through Computer Graphics

The complexity and size of measured and simulated data in many fields of science is increasing constantly. The technical evolution allows for capturing smaller features and more complex structures in the data. To make this data accessible by the scientists, efficient and specialized visualization techniques are required. Maximum efficiency and value for the user can only be achieved by adapting visualization to the specific application area and the specific requirements of the scientific field. Part I: In the first part of my work, I address the visualization in the neurosciences. The neuroscience tries to understand the human brain; beginning at its smallest parts, up to its global infrastructure. To achieve this ambitious goal, the neuroscience uses a combination of three-dimensional data from a myriad of sources, like MRI, CT, or functional MRI. To handle this diversity of different data types and sources, the neuroscience need specialized and well evaluated visualization techniques. As a start, I will introduce an extensive software called \"OpenWalnut\". It forms the common base for developing and using visualization techniques with our neuroscientific collaborators. Using OpenWalnut, standard and novel visualization approaches are available to the neuroscientific researchers too. Afterwards, I am introducing a very specialized method to illustrate the causal relation of brain areas, which was, prior to that, only representable via abstract graph models. I will finalize the first part of my work with an evaluation of several standard visualization techniques in the context of simulated electrical fields in the brain. The goal of this evaluation was clarify the advantages and disadvantages of the used visualization techniques to the neuroscientific community. We exemplified these, using clinically relevant scenarios. Part II: Besides the data preprocessing, which plays a tremendous role in visualization, the final graphical representation of the data is essential to understand structure and features in the data. The graphical representation of data can be seen as the interface between the data and the human mind. The second part of my work is focused on the improvement of structural and spatial perception of visualization -- the improvement of the interface. Unfortunately, visual improvements using computer graphics methods of the computer game industry is often seen sceptically. In the second part, I will show that such methods can be applied to existing visualization techniques to improve spatiality and to emphasize structural details in the data. I will use a computer graphics paradigm called \"screen space rendering\". Its advantage, amongst others, is its seamless applicability to nearly every visualization technique. I will start with two methods that improve the perception of mesh-like structures on arbitrary surfaces. Those mesh structures represent second-order tensors and are generated by a method named \"TensorMesh\". Afterwards I show a novel approach to optimally shade line and point data renderings. With this technique it is possible for the first time to emphasize local details and global, spatial relations in dense line and point data.In vielen Bereichen der Wissenschaft nimmt die Größe und Komplexität von gemessenen und simulierten Daten zu. Die technische Entwicklung erlaubt das Erfassen immer kleinerer Strukturen und komplexerer Sachverhalte. Um solche Daten dem Menschen zugänglich zu machen, benötigt man effiziente und spezialisierte Visualisierungswerkzeuge. Nur die Anpassung der Visualisierung auf ein Anwendungsgebiet und dessen Anforderungen erlaubt maximale Effizienz und Nutzen für den Anwender. Teil I: Im ersten Teil meiner Arbeit befasse ich mich mit der Visualisierung im Bereich der Neurowissenschaften. Ihr Ziel ist es, das menschliche Gehirn zu begreifen; von seinen kleinsten Teilen bis hin zu seiner Gesamtstruktur. Um dieses ehrgeizige Ziel zu erreichen nutzt die Neurowissenschaft vor allem kombinierte, dreidimensionale Daten aus vielzähligen Quellen, wie MRT, CT oder funktionalem MRT. Um mit dieser Vielfalt umgehen zu können, benötigt man in der Neurowissenschaft vor allem spezialisierte und evaluierte Visualisierungsmethoden. Zunächst stelle ich ein umfangreiches Softwareprojekt namens \"OpenWalnut\" vor. Es bildet die gemeinsame Basis für die Entwicklung und Nutzung von Visualisierungstechniken mit unseren neurowissenschaftlichen Kollaborationspartnern. Auf dieser Basis sind klassische und neu entwickelte Visualisierungen auch für Neurowissenschaftler zugänglich. Anschließend stelle ich ein spezialisiertes Visualisierungsverfahren vor, welches es ermöglicht, den kausalen Zusammenhang zwischen Gehirnarealen zu illustrieren. Das war vorher nur durch abstrakte Graphenmodelle möglich. Den ersten Teil der Arbeit schließe ich mit einer Evaluation verschiedener Standardmethoden unter dem Blickwinkel simulierter elektrischer Felder im Gehirn ab. Das Ziel dieser Evaluation war es, der neurowissenschaftlichen Gemeinde die Vor- und Nachteile bestimmter Techniken zu verdeutlichen und anhand klinisch relevanter Fälle zu erläutern. Teil II: Neben der eigentlichen Datenvorverarbeitung, welche in der Visualisierung eine enorme Rolle spielt, ist die grafische Darstellung essenziell für das Verständnis der Strukturen und Bestandteile in den Daten. Die grafische Repräsentation von Daten bildet die Schnittstelle zum Gehirn des Menschen. Der zweite Teile meiner Arbeit befasst sich mit der Verbesserung der strukturellen und räumlichen Wahrnehmung in Visualisierungsverfahren -- mit der Verbesserung der Schnittstelle. Leider werden viele visuelle Verbesserungen durch Computergrafikmethoden der Spieleindustrie mit Argwohn beäugt. Im zweiten Teil meiner Arbeit werde ich zeigen, dass solche Methoden in der Visualisierung angewendet werden können um den räumlichen Eindruck zu verbessern und Strukturen in den Daten hervorzuheben. Dazu nutze ich ein in der Computergrafik bekanntes Paradigma: das \"Screen Space Rendering\". Dieses Paradigma hat den Vorteil, dass es auf nahezu jede existierende Visualiserungsmethode als Nachbearbeitunsgschritt angewendet werden kann. Zunächst führe ich zwei Methoden ein, die die Wahrnehmung von gitterartigen Strukturen auf beliebigen Oberflächen verbessern. Diese Gitter repräsentieren die Struktur von Tensoren zweiter Ordnung und wurden durch eine Methode namens \"TensorMesh\" erzeugt. Anschließend zeige ich eine neuartige Technik für die optimale Schattierung von Linien und Punktdaten. Mit dieser Technik ist es erstmals möglich sowohl lokale Details als auch globale räumliche Zusammenhänge in dichten Linien- und Punktdaten zu erfassen

All-Women Initiatives in Art and Technology 1986-2020. Atenea: Mentoring and Networking Project in Steam

[ES] La presente tesis doctoral es una exploración sobre las iniciativas auto-organizadas de mujeres que han surgido en la intersección del arte y la tecnología a nivel internacional. Estas iniciativas comunitarias han ido apareciendo en lugares donde existe una escena de arte y nuevos medios, la cual es generalmente de dominación masculina y baja en diversidad. Este trabajo de investigación es un mapeo de este fenómeno tecno-social y artístico, tratando de identificar las primeras prácticas. A través de entrevistas, encuestas y métodos de investigación etnográfica, esta tesis aspira a comprender el contexto que ha dado lugar a semejantes iniciativas a lo largo de tres décadas y media, examinando las diferentes tipologías por los formatos, extensión, espacio y estructura que éstas han adoptado para afrontar la situación de las mujeres en estas áreas. Existe un vació de referencias sobre formas organizativas y de comisariado en las áreas de arte y tecnología. Además, la literatura general señala las subculturas digitales de los noventa, tales como el ciberfeminismo y el movimiento DIY, como los primeros y principales referentes para las alianzas de mujeres y el activismo translocal en la era digital. Sin embargo, las estrategias de colaboración y segregación en áreas de arte y tecnología no han sido analizadas desde los estudios feministas desde una perspectiva histórica en profundidad. Por lo tanto, esta tesis establece la relación entre dichas iniciativas con la historia de los grupos de mujeres artistas y espacios de arte alternativos, la historia de las mujeres en el arte de nuevos medios y la cultura de redes. Las nuevas tecnologías de la información y comunicación han permitido nuevas formas de comunicación y conectividad transfronterizas; sin embargo, este trabajo investiga en qué medida estas iniciativas dependen de las TIC para el establecimiento de su comunidad, comparado con los formatos analógicos. Con los resultados, esta tesis aspira a convertirse en una fuente de referencias que enriquezca la escasa bibliografía de la temática, proporcionando una lista de formas organizativas y de comisariado, así como las practicas más tempranas nunca publicadas, y en conjunto contribuir a la historiografía actual sobre mujeres. Por último, a la vez que se comenta la situación actual de las mujeres en las áreas de arte y tecnología, este trabajo presenta Atenea, un proyecto de mentorización y networking para mujeres en las artes y carreras STEM. Atenea está compuesto de un programa de actividades con diferentes actividades organizativas y de comisariado, así como una plataforma de networking. Adicionalmente, el proyecto tiene un programa enfocado en transmitir conocimientos STEM a niñas a través de prácticas artísticas con tecnología de la mano de mujeres artistas nacionales como mentoras.[CAT] La present tesi doctoral és una exploració sobre les iniciatives autoorganitzades de dones que han sorgit en la intersecció de l'art i la tecnologia a nivell internacional. Aquestes iniciatives comunitàries han anat apareixent en llocs on hi ha una escena d'art i nous mitjans, la qual és generalment de dominació masculina i baixa en diversitat. Aquest treball de recerca és un mapeig d'aquest fenomen tecno-social i artístic, tractant d'identificar les primeres pràctiques. A través d'entrevistes, enquestes i mètodes d'investigació etnogràfica, aquesta tesi aspira a comprendre el context que ha donat lloc a semblants iniciatives al llarg de tres dècades i mig, examinant les diferents tipologies pels formats, extensió, espai i estructura que aquestes han adoptat per afrontar la situació de les dones en aquestes àrees. Hi ha un buit de referències sobre formes organitzatives i de comissariat en les àrees d'art i tecnologia. A més, la literatura general assenyala les subcultures digitals dels noranta, com ara el ciberfeminisme i el moviment DIY, com els primers i principals referents per a les aliances de dones i l'activisme translocal en l'era digital. No obstant això, les estratègies de col·laboració i segregació en àrees d'art i tecnologia no han estat analitzades des dels estudis feministes des d'una perspectiva històrica en profunditat. Per tant, aquesta tesi estableix la relació entre aquestes iniciatives amb la història dels grups de dones artistes i espais d'art alternatius, la història de les dones en l'art de nous mitjans i la cultura de xarxes. Les noves tecnologies de la informació i comunicació han permès noves formes de comunicació i connectivitat transfrontereres; però, aquest treball investiga en quina mesura aquestes iniciatives depenen de les TIC per a l'establiment de la seva comunitat, comparat amb els formats analògics. Amb els resultats, aquesta tesi aspira a convertir-se en una font de referències que enriqueixi l'escassa bibliografia de la temàtica, proporcionant una llista de formes organitzatives i de comissariat, així com les pràctiques més primerenques mai publicades, i en conjunt contribuir a la historiografia actual sobre dones. Finalment, alhora que es comenta la situació actual de les dones en les àrees d'art i tecnologia, aquest treball presenta Atenea, un projecte de mentorització i networking per a dones en les arts i carreres STEM. Atenea està compost d'un programmea d'activitats amb diferents activitats organitzatives i de comissariat, així com una plataforma de networking. Addicionalment, el projecte té un programmea enfocat a transmetre coneixements STEM a nenes a través de pràctiques artístiques amb tecnologia de la mà de dones artistes nacionals com mentores.[EN] This dissertation explores a series of all-women self-organised initiatives that have emerged at the intersection of art and technology internationally. These grassroot initiatives have continued to appear in places where there is a new media arts scene, generally male-dominated and low in diversity. This research work is a mapping of this techno-social and artistic phenomenon, attempting to identify its earliest practices. Through interviews, surveys and ethnographic research, this thesis seeks to comprehend the context that has given rise to such initiatives over three decades and half, examining the different typologies by formats, extension, space and structure that they have adopted to address the situation of women in these fields. There is a void of references on all-women curatorial and organisational forms in art and technology. Moreover, general literature points at digital subcultures of the 1990s such as cyberfeminism and DIY movement as first referents for women's alliance and translocal activism in the digital age. However, collaboration and segregation strategies in new media arts have not been discussed in feminist scholarship from a deeper historical perspective. Therefore, this dissertation elaborates the linkage of such initiatives to early history of all-women art groups and alternative art spaces, history of women in new media arts and to network cultures. New information and communication technologies have enabled new forms of communication and connectivity cross-borders; however, this work investigates in which measure these initiatives are dependent upon ICT for the establishment of a community, compared to analog formats. With the results, this dissertation aims to become a source of references that enriches the scarce bibliography on the topic, providing a list of curatorial and organisational forms with the earliest and unpublished practices that altogether contribute to current women's historiography. Lastly, while discussing the current situation of women in art and technology fields, this works presents Atenea, a mentoring and networking platform for women in Arts and STEM careers. Atenea is comprised of a programme having different organizational, curatorial and networking activities. Additionally, the platform has a project focused on teaching STEM skills to girls through new media arts with female artists as mentors. Keywords: All-women, self-organised, initiatives, new media arts, digital arts, electronic arts, art, technology, activism, mapping, alternative art spaces, collaboration, segregation, ICT, digital age, virtual, community, network cultures, feminism, cyberfeminism, Atenea, STEM, STEAM, girls, organisational, curatorial, networking platform, mentoring,Robles Mateo, E. (2020). All-Women Initiatives in Art and Technology 1986-2020. Atenea: Mentoring and Networking Project in Steam [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/159248TESI