Keynote Speakers
Title of the Keynote Speech: A situated turn in ArtsIT
Bio:
Michel van Dartel (b.1976) is tenured Research Professor of Situated Art, Design and Technology at the Avans Centre of Applied Research for Art, Design and Technology (CARADT). He holds an MSc in cognitive psychology and a PhD in artificial intelligence, both from Maastricht University, and was affiliated with V2_Lab for the Unstable Media between 2005 and 2024. Alongside his work at CARADT, Van Dartel also acts as an independent curator and freelance advisor to art and design academies, presentation platforms, funding and governmental bodies.
Abstract
Living in cities shaped by data and functioning within the opaque structures of our techno-society demands art that can help us understand and reflect on our evolving relationship with these rapidly changing environments. In this keynote, van Dartel will argue that, to do so effectively, the production and presentation of work at the intersection of art and information technology must themselves be situated within these environments and structures—rather than confined to isolated technology labs, art studios, or the sterile settings of galleries, museums, and conferences. He will then illustrate the relevance of such a “situated turn” for the ArtsIT community through examples of situated art and design practices, as well as research conducted “in the wild” by his team at the Avans Centre for Applied Research in Art, Design and Technology.
Dept Chair and Professor of
Human Computer Interaction,
MBZUAI – Mohamed bin Zayed University of
Artificial Intelligence, UAE
Title:
Bio:
An Association for Computing Machinery (ACM) Fellow and former Vice President of both the ACM and ACM’s Special Interest Group on Human Computer Interaction (SIGCHI), she has consistently built bridges between abstract social science theory and large-scale commercial innovation. She is renowned for translating insights from psychology, cognitive science and work practice studies into actionable design principles for consumer and designer/developer products and platforms.
Abstract
The last years saw a steep increase in the number of wearable sensors and systems, mhealth and uhealth apps both in the clinical settings and in everyday life. Further large amounts of data both in the clinical settings (imaging, biochemical, medication, electronic health records, -omics), in the community (behavioral, social media, mental state, genetic tests, wearable driven bio-parameters and biosignals) as well as environmental stressors and data (air quality, water pollution etc.) have been produced, and made available to the scientific and medical community, powering the new AI/DL/ML based analytics for the identification of new digital biomarkers leading to new diagnostic pathways, updated clinical and treatment guidelines, and a better and more intuitive interaction medium between the citizen and the health care system.
Thus, the concept of connected and translational health has started evolving steadily, connecting pervasive health systems, using new predictive models, new approaches in biological systems modeling and simulation, as well as fusing data and information from different pipelines for more efficient diagnosis and disease management.
In this talk, we will present the current state-of-the-art in personalized health care by presenting cases from COVID-19 and COPD patients using advanced wearable vests and new technology sensors including lung sound and EIT, new outcome prediction models in COVID-19 ICU patients fusing X-Rays, lung sounds, and ICU parameters transformed via AI/ML/DL pipelines, new approaches fusing environmental stressors with -omics analytics for chronic disease management, and finally new ML/AI-driven methodologies for predicting mental health diseases including suicidality, anxiety, and depression.
