Data and Society

Nowadays the amounts of data generated presents unique opportunities in research and technological innovations. This also raises a range of challenges, including data standards, analysis and visualization, as well as ethical considerations such as data protection, privacy and ownership.

In this symposium we want to explore the increasing role that data plays in our lives. The event will explore research and technological innovations that involve data and the society.

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09:40 - 10:00: Coffee

10:00 - 10:10: Welcome and introduction

10:10 - 11:45:  Data Integration / Data standards

  • Umer Zeeshan Ijaz (University of Glasgow) Analysis and integration of different sources of 'omics data in enviromental and medical science
  • Pável Vázquez (Hybrid Technology Hub-Centre for Organ on a Chip Technology, UiO) Developing FAIR based data solutions
  • Valeria Vitelli (Institute of Basic Medical Sciences, UiO) A Novel Probabilistic Vision for Combining Genomic Data
  • Discussion

11:45 - 12:25: LUNCH BREAK

12:25 - 13:45: Data Interpretation and Visualization

  • Mareile Kaufmann (PRIO/Department of Crimonology and Sociology of Law, UiO) The life cycle of an algorithm: understanding relationships between humans and technology
  • Vernon Lalone (Imperial College and Hybrid Technology Hub-Centre for Organ on a Chip Technology) 3D Visualization for the Microscopic Realm of Biomaterials: a Journey through Cells and Organoids
  • Martin Jones (Francis Crick Institute) Extracting meaning from Big Data in Volume Electron Microscopy
  • Discussion

13:45 - 14:00: Coffee Break

14:00 - 15:35: Machine Learning / Artificial Intelligence

  • Pär Sundström (Umeå University) Is it possible to build artificial minds?
  • Marcus Engebregtsen (BrainTech) Neuroscience and AI
  • Liv Hausken (Department of Media and Communication, UiO) Deepfake, Photography, and Society
  • Discussion


The event is hosted by the UiO:Life Science convergence environment: Organ on a chip and the Hybrid Technology Hub-Centre for Organ on a Chip Technology

Target audience: all convergence environments, and researchers without a strong background in data handling/analysis/visualization, and the increasing intrusive role that data play in our lives in the 21st century, these topics will also have a broader interest to the general public.

Published Nov. 18, 2019 2:31 PM - Last modified Dec. 14, 2020 6:47 PM