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Participation at IV 2022

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Our group presented at this year’s Information Visualisation Conference (iV 2022) two papers entitled “Visual Analytics for Systematic Reviews According to PRISMA” and “Visual Collaboration – An Approach for Visual Analytical Collaborative Research”. In addition, Professor Kawa Nazemi, the head of the research group, was a co-chair of the conference and chaired the program committee and various sessions and tracks. Due to the ease of COVID travel restrictions, we were able to participate in person Vienna. The iV 2022 is an international conference that aims to provide a foundation for integrating information visualization’s human-centered, technological and strategic aspects to promote international exchange, cooperation, and development.

Paper #1: Visual Analytics for Systematic Reviews According to PRISMA

Lead author: Lennart B. Sina

Abstract:
Systematic reviews play an essential role in various disciplines. Particularly, in biomedical sciences, systematic reviews according to a predefined schema and protocol are how related literature is analyzed. Although a protocol-based systematic review is replicable and provides the required information to reproduce each step and refine them, such a systematic review is time-consuming and may get complex. To face this challenge, automatic methods can be applied that support researchers in their systematic analysis process. The combination of artificial intelligence for automatic information extraction from scientific literature with interactive visualizations as a Visual Analytics system can lead to sophisticated analysis and protocoling of the review process. We introduce in this paper a novel Visual Analytics approach and system that enables researchers to visually search and explore scientific publications and generate a protocol based on the PRISMA protocol and the PRISMA statement.

Link to paper/fulltext: Soon available

Paper #2: Visual Collaboration – An Approach for Visual Analytical Collaborative Research

Lead author: Midhad Blazevic

Abstract:

Studies have shown that collaboration in scientific fields is rising and considered enormously important. However, collaboration has proved to be challenging for various reasons, among others, the requirements for human-machine workflows. The importance of scientific collaboration lies in the complexity of the challenges that are faced today. The more complex the challenge, the more scientists should work together. The current form of collaboration in the scientific community is not as intelligent as it should be. Scientists have to multitask with various applications, often losing cognitive focus. Collaboration itself is very nearsighted as it is usually conducted not solely based on expertise but instead on social or local networks. We introduce a single-source visual collaboration approach based on learning methods in this work. We use machine learning and natural language processing approaches to improve the traditional research and development process and create a system that facilitates and encourages collaboration based on expertise, enhancing the research collaboration process in many ways. Our approach combines collaborative Visual Analytics with enhanced collaboration techniques to support researchers from different disciplines

Link to paper/fulltext: Soon available

Call for Articles to Special Issue in Journal of Electronics

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Prof. Dr.-Ing. Kawa Nazemi is organizing together with Prof. Dr. Egils Ginters and Dr. Michael Bažant a special issue on “Visual Analytics, Simulation, and Decision-Making Technologies” in the MDPI Journal of Electronics.

The Journal of Electronics is an international, peer-reviewed, open-access journal on the science of electronics and its applications published semimonthly online by MDPI. It publishes reviews, research articles, short communications, and letters. The aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided.

With the recent rise in cutting-edge technologies such as artificial intelligence, new and unsolved societal economic challenges can be solved sophisticatedly. Disciplines such as visual analytics, simulation, data analytics, natural language processing, and image and video processing combined with the human in the interaction loop have led to new systems, methods, concepts, and architectural designs that help us to face societal challenges, e.g., climate, mobility, sustainability, smart city. Furthermore, these approaches lead to predicting likely future scenarios in the economy. These enhancements enable gathering the market relevance of upcoming technologies, analyzing the competitors and other forthcoming competitive technologies, and analyzing new markets for technologies. Thus, the aspect of sustainability plays an increasing role, even in market positioning or in the development and deployment of new technologies.

In this Special Issue, we are interested in systems, system architectures, computational techniques, methods and models, and literature reviews in the areas of analytical decision making, collaborative work, sustainability, economy, simulation, object monitoring, and behavior detection.

From a methodological point of view, the focus is on combining technological approaches from various disciplines to provide new ways and methods for analyzing data and models and enabling novel approaches for solving societal and economic challenges. On the practical side, we are looking for algorithms, software, prototypes, and demonstrators of decision-making support with the human-in-the-loop in various application fields. Topics of interest include but are not limited to the following:

  • Visual analytics and information visualization
  • Artificial intelligence and machine learning
  • Simulation and modeling for digital twins
  • Collaboration systems and collaborative work
  • Data analytics and natural language processing
  • Analytical systems for mobility, transportation, and traffic
  • Analytical systems for sustainability and environment
  • Analytical systems for corporate foresight
  • Analytical systems for smart manufacturing
  • Technologies for smart city, virtual, and augmented reality applications
  • Quantum and high-performance computing use
  • Digital wallet and blockchain synergy
  • Fault diagnosis in cyber-physical systems
  • Predictive maintenance in Industry 4.0
  • Object monitoring and behavior detection

If you are interested in the journal and in submitting an article, please note the information on the special issue website: Special Issue “Visual Analytics, Simulation, and Decision-Making Technologies”.

Book appeared – Integrating Artificial Intelligence and Visualization

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Professor Kawa Nazemi edited together with colleagues from the London South Bank University, Instituto Superior de Engenharia de Lisboa, and the Central Washington University enhanced contributions of selected papers of the International Conference on Information Visualisation particularly on the intersection of artificial intelligence and visualization. The book will appear in the series Studies in Computational Intelligence by Springer Nature. The book “Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery” is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytics. A long-standing challenge of artificial intelligence (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is a fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering “n-D glasses,” where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain.
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Call for Papers to the International Information Visualisation Conference (iV 2022)

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We are again co-organizing the track International Symposium Visual Analytics and Data Science (VA) at the next International Information Visualisation Conference (iV 2022) in Vienna, Austria on 19-22 July 2022. The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centered, technological and strategic aspects of information visualization to promote international exchange, cooperation, and development.

In the present information era, most aspects of our lives depend on and are driven by data, information, knowledge, user experience, and culture. Information Visualisation, Visual Analytics, Business Intelligence, Machine Learning, and Data Science are only a few research areas of the current state of art enabling to increase the comprehension of the information on which is based the infrastructure of our society. The International Conference on Information Visualisation is concentrated around these hot topics. As in the previous edition, also this year there will be the opportunity of starting international cooperations and European research projects, and of discussing with international relevance keynote speakers. The conference is articulated in symposia, with details and further information available on the Symposia webpage.

 

Your work may be submitted as

 

These submissions include, but are not limited to

  • Information Visualisation Theory & Practice
  • Narrative
  • Visualization and Storytelling
  • Glyphs: Shapes, Icons, Text and Imagery in Visualization
  • Information Visualization Evaluation
  • Visual Analytics
  • Social media analytics
  • GeoVisual Analytics and Spatial-Temporal Analytics
  • Knowledge Visualization and Visual Thinking
  • Advances in Interactive and Visual Data Clustering
  • Visualisation in Business Intelligence and Open Data
  • Knowledge Domain Visualisation
  • Open Source Intelligence and Web Mining & Web Visualization
  • Co-operative Design Visualisation
  • Human-Computer Interaction for Information Visualization
  • Graph and Network Visualisation
  • Digital Humanities Knowledge Visualization
  • BioMedical Visualization
  • Visualization, Art, & Design
  • Symposium of Digital Art and Gallery
  • Augmented Reality Visualization and Art
  • Computer Animation, Information Visualisation, and Digital Effects
  • Computer Games and their applications (CGa)
  • Multimedia and E-learning
  • Digital Entertainment

 

Interested parties in the area of Visual Computing are invited to submit paper their proposal until 15 March 2022 via the conference submission system.

Please note our summarization of the 26th International Conference Information Visualization (iV 2022) event.

Elected in the Board of Publication Chairs @ International Information Visualisation Conference (iV2020)

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Professor Dr. Kawa Nazemi was elected as member of the publication chair board of the International Information Visualisation Conference (iV 2020) in Vienna, Austria. The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centered, technological and strategic aspects of information visualization to promote international exchange, cooperation and development.

The scope of the conference covers the following topics:

  • Combining visual and computational methods of Data Analysis, Machine Learning and Artificial Intelligence
  • Visual Analytics models and approaches
  • Novel Visual Analytics applications
  • Visual Trend Analytics
  • Visual Analytics of spatial, temporal, and spatio-temporal data
  • Knowledge construction and management in Visual Analytics
  • Guidance in Visual Analytics
  • Intelligent approaches of Visual Analytics and Data Science
  • Adaptive Visual Analytics
  • Cognitive approaches and explanations for Visual Analytics
  • Visual Analytics for explaining AI
  • Visualization of Data Mining algorithms
  • Empirical performance studies
  • Evaluation of Visual Data Mining methods
  • Collaborative Visual

Please note that the IV2020 will be held online and the submission deadline was extended. The processings will be published as usual in IEEE Xplore.

Our Group co-organizes the main symposium 12th International Symposium Visual Analytics and Data Science.

VIS-Group co-organizes the International Information Visualisation Conference (iV2020)

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We are co-organizing the track International Symposium Visual Analytics and Data Science (VA) at the next International Information Visualisation Conference (iV 2020) in Vienna, Austria on 28-31 July 2020. The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centered, technological and strategic aspects of information visualization to promote international exchange, cooperation and development.

Interested parties in the arae of Visual Computing are invited to submit paper propsals until 15 March 2020 via the conference submission system. Please note the covered topics and the call for papers, as well as the submision guidelines.

Please note our summarization to the 24rd International Conference Information Visualization (iV 2020) event.

Talk on Artificial Intelligence and Data Analytics at WissDok

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WissDok is an annual event for scientific and media documentation of public media organizations. The event focuses on the pragmatic-current edge of technical, organizational and scientific development in the documentation in its role as an incarnation of information science. The invited speakers deliver an annual update on the current development of various dimensions in this professional field in approximately 2-hour sessions. The event is part of the wissDok program and an offer to the specialist with opportunity for discussion.

At wissDok our team, represented by Lukas Kaupp, will give a talk about Artificial Intelligence and Data Analytics. The talk will cover three main aspects: (1) Overview on Artificial Intelligence, (2) Machine Learning and (3) Data Analytics. All parts are covered by an introduction to the foundations, current state-of-the-art approaches and upcoming research trends.

Summer School: From Smart to Intelligent Cities – Concepts, Methods, Digital Transformation

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At the EFST Summer School 2018 (from 18th to 22nd of June) on the University of Split Prof. Nazemi gives lectures on “Intelligent Visualizations in Future Policy Modelling” and “Data Analysis for eGovernance and eParticipation”. The lectures are a summary of current researches in this field as well as gained results in national and European research project on e-Government actions for Cities.

The concepts of Smart and Intelligent Cities constitute a breakthrough in contemporary urban development and management. The Smart City notion has gained much popularity in the past years, but recently also the concept of Intelligent City – base on cognitive, learning and knowledge principles – has become en vogue. They prompted not also many debates but also many urban planning initiatives informed and influenced by rapid development of smart technologies and growing interest in digital transformation of public services. By presenting the most prominent challenges of these concepts and enabling technologies, participants will get an opportunity to understand and contribute to the challenges faced by modern cities and to explore more efficient solutions resulting from swift technology development and digital transformation initiatives in this specific context.

The Summer School offers a unique opportunity to learn and discuss about structures, actors, processes and challenges of regional and urban development and management in dialogue with international academic experts and practitioners. This will be achieved through lectures from leading academics and experts in the field.

The program can be downloaded here.

Tag Archive for: Intelligent Visualization

WissDok 2019

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WissDok is an annual event for scientific and media documentation of public media organizations. The event focuses on the pragmatic-current edge of technical, organizational and scientific development in the documentation in its role as an incarnation of information science. The invited speakers deliver an annual update on the current development of various dimensions in this professional field in approximately 2-hour sessions. The event is part of the wissDok program and an offer to the specialist with opportunity for discussion.

The symposium at the Mediencampus is part of the wissDok program and an offer to the specialist public with opportunity for discussion. At the symposium our team will give a talk about Artificial Intelligence and Data Analytics.

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