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[CHI 2023 Course] Transparent Practices for Quantitative Empirical Research
by Fumeng Yang 04 Mar '23

04 Mar '23

We are offering a course on *“Transparent Practices for Quantitative Empirical Research”* at CHI 2023 (hybrid course). The course will cover the following topics: * Planning, analyzing, and sharing quantitative research * Transparency for frequentist and Bayesian data analysis * Transparency-oriented visualizations *Target audience*: HCI researchers and students who already have elementary knowledge in quantitative research design and statistical analysis 3 online sessions + 1 hybrid session *Online dates*: 12, 14, and 17 April 2023 *Online Time*: 9:00–10:15 (Pacific) = 11:00–12:15 (Central) = 12:00–13:15 (Eastern) = 18:00–19:15 (Europe) *The hybrid date at CHI 2023*: 24 April, late-morning session (Hamburg time, TBA) *Max number of participants*: 40 Instructors: * Chat Wacharamanotham <https://chatchavan.github.io/> (Swansea University) * Fumeng Yang <http://www.fmyang.com/> (Northwestern University) * Abhraneel Sarma <http://abhsarma.github.io/> (Northwestern University) * Xiaoying Pu <https://abhsarma.github.io/transparent-quant-chi-2023-website/xiaoyingpu.gi…> Further information and registration: https://abhsarma.github.io/transparent-quant-chi-2023-website <https://abhsarma.github.io/transparent-quant-chi-2023-website> We’d be grateful if you could forward this announcement to people in your network who may be interested in this course! Thanks!

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ESANN 2023 - 2nd call for papers and announcement of special sessions
by Michel Verleysen 03 Mar '23

03 Mar '23

ESANN 2023 - 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges (Belgium) and online, 4-5-6 October 2023 https://www.esann.org Call for papers The call for papers is available at https://www.esann.org. Deadline for submissions: May 2, 2023. The ESANN conferences cover machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. In addition to regular sessions, 7 special sessions will be organized on the following topics: - Efficient Learning In Spiking Neural Networks - Quantum Artificial Intelligence - Green Machine Learning - Graph Representation Learning - Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness - Neuro-Symbolic AI: Techniques, Applications, and Challenges - Machine Learning Applied to Sign Language ESANN 2023 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years. The conference will be organized in hybrid mode. In-person participation is preferred, however online participation is possible for those who prefer not to travel. The physical conference will be organized in Bruges, one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum. We hope to receive your submission to ESANN 2023 and to see you in Bruges or online! ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen UCLouvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann@uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann@uclouvain.be ========================================================

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Lecturer in Management and the Creative Industries (University of York)
by Jonathan Hook 02 Mar '23

02 Mar '23

Lecturer in Management and the Creative Industries (University of York) Role: Lecturer in Management and the Creative Industries (equiv. to Assistant Prof) Institution: University of York Contract type: Full time, permanent Salary: £42,155 to £51,805 per year Closing: 20th March 2023 https://www.jobs.ac.uk/job/CXP854/lecturer-in-management-and-the-creative-i… Applications are invited for a full-time, open Lectureship in Management and the Creative Industries, available from September 2023. The successful candidate will join the innovative and rapidly expanding School of Arts and Creative Technologies (ACT) and work closely in collaboration with the School for Business and Society (SBS). The School of ACT brings together research, teaching and public engagement in the creative industries (including music, film, television, theatre, and interactive media); its facilities include a bespoke £30m building with superb industry-standard equipment, which opened in 2010. The SBS has just recently moved to a newly designed, state-of-the-art facility. The University of York is a research-intensive Russell Group university, and the post holder will be appointed on a research and teaching contract. Role The successful candidate will mainly contribute to our two postgraduate programmes in management, the MA in Management in the Creative and Cultural Industries and the new MA in Music, Management and Marketing. S/he will undertake PhD supervision as appropriate, and enhance the School’s reputation for highly innovative, impactful research. The ideal candidate will understand both the theory and professional practices of the creative industries – ideally with a global, or at least not solely western-centric, perspective – and they will be able to adapt their teaching to meet the needs of students from both the UK and overseas. Some administrative duties are also part of this role, including participation in relevant School committees as well as activities related to pastoral care, student recruitment and public outreach. Skills, Experience and Qualification needed - A PhD in an area relevant to management and the creative and cultural industries. - Appropriate academic professional and teaching qualifications, or a willingness to complete York’s - Postgraduate Certificate in Academic Practice. - Specialist knowledge in Management, Marketing, and/or Entrepreneurship, Business, and Strategy as they apply to creative and cultural industry businesses and environments. - Demonstrable ability to develop research objectives, projects, and proposals, to publish/disseminate work in appropriate, high-profile ways, and to deliver presentations at conferences and other events. - A commitment to citizenship, including the ability to perform administrative tasks in a timely fashion, and to contribute to the collegial and collaborative ethos of the School of ACT. More information and apply: https://www.jobs.ac.uk/job/CXP854/lecturer-in-management-and-the-creative-i… Contact for questions: marta.herrero(a)york.ac.uk

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Vacancy: Fully-Funded PhD Position for Visual Analytics Applied to Fine-Arts Analysis at TU Delft, Netherlands
by Thomas Höllt 02 Mar '23

02 Mar '23

Fully-Funded PhD Position for Visual Analytics Applied to Fine-Arts Analysis The Computer Graphics and Visualization (CGV)<http://graphics.tudelft.nl/> group at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)<https://www.tudelft.nl/en/eemcs/the-faculty/>, TU Delft invites applications for full-time doctoral candidates in the area of Visualization and Visual Analytics applied to analysis of Fine-Art. Together with the Rijksmuseum Amsterdam and the department of Material Science and Engineering at TU Delft, we are already working on Visual Analytics methods for identifying pigments in historical paintings (e.g., see https://www.thomashollt.com/publications/2022_gch_andra/) The successful candidate will continue this collaboration with several possible topics such as the identification of layering structures in paintings, reasoning on the aging process of identified pigments, or the simulation of different lighting conditions. For this, we work with hyperspectral and other high-dimensional imaging data modalities. Besides workflows and design of visual representations, the project will provide different opportunities to work on methodological improvements for the analysis of this data. An example is the adaptation of dimensionality reduction algorithms for information visualization or the improvement of the acquisition process by (partially) predicting modalities using machine learning methods. The CGV group investigates realistic, perceptual, and expressive rendering, visualization of scientific and medical data, interaction and game technologies, and modelling of 3D content. Our goal is to develop methods to produce virtual worlds and provide high-quality display solutions efficiently and effectively. We aim for solutions to produce instructive illustrations with real-world applications (e.g., medical visualization, or flooding simulations) and make use of perceptual findings to increase the effectiveness of the displayed information. Our work is often multi-disciplinary and combines aspects of various fields, such as physics, parallel programming, algorithms, perception, or numerical methods. Full details and the application procedure can be found here<https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?…>. For any questions you can contact me directly at t.hollt-1(a)tudelft.nl<mailto:t.hollt-1@tudelft.nl> -- Thomas Höllt, Assistant Professor Computer Graphics and Visualization https://graphics.tudelft.nl<https://graphics.tudelft.nl/> Department of Intelligent Systems Faculty of Electrical Engineering, Mathematics and Computer Science Delft University of Technology

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TU/e (Eindhoven) - Assistant professor positions in visualization and related areas
by Fernando Paulovich 01 Mar '23

01 Mar '23

We are Hiring! The Eindhoven University of Technology (TU/e), one of the world's top-ranked institutions in innovation, has an ambitious plan to address the ever-increasing demand for high-tech strategic workforce for the Netherlands. Embedded in the Brainport Region, a booming science hub hotspot with more than 230 high-tech companies and start-ups, it is time for the Department of Mathematics and Computer Science to grow to keep pace. And we are growing substantially. No less than 25 talented assistants, associates, or full professors will be hired. As one of the pillars of this growth, the visualization cluster ( https://vis.win.tue.nl/) is looking for applications with solid visualization and computer graphics research backgrounds willing to generate impact. With a long history of award-winning contributions and several spin-off start-ups, we are especially interested in applicants focusing on *visual analytics* in a broad sense, *visual text analytics*, *bioinformatics visualization*, *computer-human interaction*, and *immersive data analytics* to deepen and broaden our expertise. Interested? Please visit our website for an offer you can't refuse! https://bit.ly/3Xhmnld Or if you have any questions, please do not hesitate to contact us. All the best, Prof. Dr. Anna Vilanova (a.vilanova(a)tue.nl) Dr. Fernando Paulovich (f.paulovich(a)tue.nl) -- -------------- Fernando V. Paulovich, Ph.D. Associate Professor in Visual Analytics for Data Science Department of Mathematics and Computer Science TU Eindhoven Email: f.paulovich(a)tue.nl De Zaale, Metaforum MF 7.089 PO Box 513, 5600 MB Eindhoven The Netherlands -------------

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Job Vacancy: Assistant or Associate Professor in GIScience at WUR
by Zhao, Jiayan 01 Mar '23

01 Mar '23

Dear colleagues, The GRS group<https://www.wur.nl/en/research-results/chair-groups/environmental-sciences/…> at Wageningen University & Research is hiring a Tenure-Track Assistant or Associate Professor in Geo-information Science. Please consider applying or pass this along: https://www.wur.nl/nl/vacature/assistant-or-associate-professor-in-geo-info… Kind regards, Jiayan Jiayan Zhao, PhD Assistant Professor Laboratory of Geo-information Science and Remote Sensing Wageningen University & Research Email: jiayan.zhao(a)wur.nl<mailto:jiayan.zhao@wur.nl>

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Conferences: IEEE VR Early Bird Registration Deadline in 2 Days
by IEEE VR Publicity 27 Feb '23

27 Feb '23

The conference welcomes all attendees to register early at discounted costs. https://ieeevr.org/2023/attend/registration/ <https://ieeevrpublicity-dot-yamm-track.appspot.com/2-yES0lYCxuHHtO5_l2L6RuE…> Considering the possible time difference between on-site and online participants, we introduce a new double-time mode to the conference that records the live paper sessions and replays them after 12 hours (Shanghai night time) so that online participants may attend the conference at their convenient time anywhere on earth. [image: beacon]

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Ph.D. position in Prescriptive Visual Analytics (correct subject)
by Fernando Paulovich 27 Feb '23

27 Feb '23

Ph.D. in Prescriptive Visual Analytics We are looking for a motivated Ph.D. candidate who wants to develop exciting visual analytics methods to advance the concept of Prescriptive Visual Analytics (PsVA). A step further of predictive visual analytics to suggest the best actions based on a prediction and illustrate each action's implications into the predicted outcome. It is a fully funded position with the Visualization cluster of the TU Eindhoven under the supervision of Dr. Fernando Paulovich. The visualization cluster (https://research.tue.nl/en/organisations/visualization) at TU/e has a strong track record in visualization and visual analytics for ML models and high-dimensional data. It has generated several award-winning contributions at major visualization conferences (IEEE VIS, IEEE InfoVis, IEEE VAST, EuroVis); several successful start-up companies (MagnaView, Process Gold, and SynerScope); and several techniques that are used on a large scale worldwide. More details can be found at: https://jobs.tue.nl/en/vacancy/phd-in-prescriptive-visual-analytics-984009.… Please, contact Dr. Paulovich at f.paulovich[at]tue.nl if you have any questions. All the best, Fernando -- -------------- Fernando V. Paulovich, Ph.D. Associate Professor in Visual Analytics for Data Science Department of Mathematics and Computer Science TU Eindhoven Email: f.paulovich(a)tue.nl De Zaale, Metaforum MF 7.089 PO Box 513, 5600 MB Eindhoven The Netherlands -------------

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Ph.D. position in Prescritive Visual Analytics
by Fernando Paulovich 27 Feb '23

27 Feb '23

Ph.D. in Prescritive Visual Analytics We are looking for a motivated Ph.D. candidate who wants to develop exciting visual analytics methods to advance the concept of Prescriptive Visual Analytics (PsVA). A step further of predictive visual analytics to suggest the best actions based on a prediction and illustrate each action's implications into the predicted outcome. It is a fully funded position with the Visualization cluster of the TU Eindhoven under the supervision of Dr. Fernando Paulovich. The visualization cluster (https://research.tue.nl/en/organisations/visualization) at TU/e has a strong track record in visualization and visual analytics for ML models and high-dimensional data. It has generated several award-winning contributions at major visualization conferences (IEEE VIS, IEEE InfoVis, IEEE VAST, EuroVis); several successful start-up companies (MagnaView, Process Gold, and SynerScope); and several techniques that are used on a large scale worldwide. More details can be found at: https://jobs.tue.nl/en/vacancy/phd-in-prescriptive-visual-analytics-984009.… Please, contact Dr. Paulovich at f.paulovich[at]tue.nl if you have any questions. All the best, Fernando -- -------------- Fernando V. Paulovich, Ph.D. Associate Professor in Visual Analytics for Data Science Department of Mathematics and Computer Science TU Eindhoven Email: f.paulovich(a)tue.nl De Zaale, Metaforum MF 7.089 PO Box 513, 5600 MB Eindhoven The Netherlands -------------

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PhD position in "Visualisation in Citizen Science" at University of Warwick
by Turkay, Cagatay 27 Feb '23

27 Feb '23

PhD in Visualisation in Citizen Science -- Facilitating wider participation and community building in citizen science through visualisation We are looking for a PhD candidate who will join us to conduct research in the topic of visualisation in/for citizen science and how visualisation could broaden participation and support community building in citizen science projects. The position is funded by the Leverhulme TRANSFORM<https://warwick.ac.uk/fac/arts/schoolforcross-facultystudies/igsd/transform/> Doctoral training programme based at the University of Warwick and the successful candidate will work with an interdisciplinary mix of supervisors interested in visualisation, participation and methodologies. Candidates will join the vibrant PhD cohort at the Centre for Interdisciplinary Methodologie<https://warwick.ac.uk/fac/cross_fac/cim/>s and the Institute for Global Sustainable Development<https://warwick.ac.uk/fac/arts/schoolforcross-facultystudies/igsd/> at the University of Warwick, UK. The project will also involve a close collaboration with researchers form the UK Centre for Ecology and Hydrology (UKCEH) who work on biodiversity modelling in the UK. Together with this interdisciplinary team, there is potential for real-world impact and contribute to the global sustainable development goals of the TRANSFORM programme. Further details of the project and expected profile can be found here: https://warwick.ac.uk/fac/arts/schoolforcross-facultystudies/igsd/transform… This is a fully funded position within the TRANSFORM programme and application details can be found here: https://warwick.ac.uk/fac/arts/schoolforcross-facultystudies/igsd/transform… The deadline for applications is 11.59pm on 20 March 2023. Get in touch with Cagatay Turkay at cagatay.turkay(a)warwick.ac.uk for questions. Please feel free to share with anyone who you think might be interested. Thanks, Cagatay. Dr Cagatay Turkay Professor Centre for Interdisciplinary Methodologies University of Warwick & Turing Fellow @ The Alan Turing Institute w: https://warwick.ac.uk/fac/cross_fac/cim/people/cagatay-turkay

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