Data Reflection & Design
Wendy Chun, Kim Albrecht, Matthew Ritchie and Albert-László Barabási in conversation
Thu, November 04, 2021 7:00 pm CET
- Location
- Online
- Language
- English
In this panel, scientists, data engineers and artists will talk about Big Data and engage critically with ways to analyze, process and visualize it.
Big Data are data sets that are too large or too complex to be processed by conventional data processing software. Originally, Big Data was associated with three key terms: volume, variety and velocity. Challenges in Big Data analysis include data acquisition, data storage, data analysis, search, sharing, transmission, query, updating, information protection, data source, and, of course, visualization.
The event will be held in English.
Participants
Brooke Foucault Welles (Associate Professor, Northeastern University, Boston)
Martino Mauro (founder of Visual Artificial Intelligence Lab, MIT-IBM Research)
Carlo Ratti (architect, engineer and professor at MIT)
Heidi J. S. Tworek (Associate Professor of History and Public Policy; new book: »News From Germany«
