Wed 17 Apr 2019
Intro to DRIVA arts DRIVA
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Introduction to DRIVA arts DRIVA
Come and meet the team and find out more about the opportunity of DRIVA arts DRIVA: what support and resource are on offer and how it can benefit you commercially, creatively or both.
What could you do with access to data from one of the busiest transport hubs in the world?
The DRIVA arts DRIVA project is unlocking sets of unique, real-time big data and helping tech innovators to build from it and arts practitioners to create experiences from it.
This free event is for anyone with an interest in the future of digital data-driven innovation, creative and immersive experiences for audiences - and the superfusion between the two. Hear from the University of Brighton team and other project partners about how DRIVA arts DRIVA can help you open up unprecedented opportunities.
Donna Close FRSA
Donna Close is a Senior Research Fellow in the University of Brighton School of Media specialising in projects, partnerships and research that investigates the role that creativity and cultural production processes have in cultural, social and economic impact and in amplifying value. Current projects include: CLEVER, Arts DRIVA and XR Circus.
In practice, Donna is a creative producer and cultural strategist with 25 years’ experience as an arts and culture leader working across the private and public, commercial and cultural sectors. She has held senior roles in local government, higher education, large cultural organisations, creative SMEs and community and voluntary groups.
Stuart Hedley is the Knowledge Exchange Manager (Creative Futures) at the University of Brighton. He leads on specialist academic, practitioner and industry based knowledge relating to Creative Futures, including but not limited to art, architecture, design, media and humanities. Stuart has a strong track record of initiating and delivering successful cross discipline, innovative, pan-institutional initiatives and Knowledge Transfer Partnerships in higher education.
Dr Ran Song
Dr Ran Song is the Senior Lecturer in Visual Computing at the University of Brighton, Cultural Informatics Research Group and Brighton Data Analytics Group. He is also working with the Centre for Doctoral Training in Science and Engineering in Arts Heritage and Archaeology (SEAHA). Dr Song’s research, among many other things, is focused on shape analysis; mesh saliency; and multi-view surface reconstruction in 3D modeling and machine learning for digital media asset management.