From Data to Knowledge - Measuring, Predicting and Visualizing Science
There is no escape from the expansion of information, so that structuring and locating meaningful knowledge becomes ever more difficult. This conference aims at tackling this issue by gathering information professionals, sociologists, bibliometricians, physicists, digital humanities scholars and computer scientists to exchange their views on problems of data mining and data curation when studying Science. The combination of insights from complexity theory and knowledge organization will improve our understanding of the collective, self-organized nature of human knowledge production and will support the development of new principles and methods of data representation, processing, and archiving. Ultimately, our goal is to improve our understanding on how to create interactive maps of knowledge.
In particular, they have invited experts in:
- data mining and pattern recognition,
- modelling of social media,
- analysis and visualization of complex data.
Why information grows?
Social systems explained via their relationship to economy, biology, knowledge, ...
08.10.2015 - 18h15 : César Hidalgo (MIT)
Can a better understanding of the world’s complexity enable us to develop national industrial policies to raise living standards?
In a radical rethink of what an economy is, one of WIRED magazine’s 50 People Who Could Change the World, César Hidalgo argues that it is the measure of a nation’s cultural complexity – the nexus of people, ideas and invention - rather than its GDP or per-capita income, that explains the success or failure of its economic performance. To understand the growth of economies, Hidalgo argues, we first need to understand the growth of order itself. Cesar visits the RSA to present a new view of the relationship between individual and collective knowledge, linking information theory, economics and biology to explain the deep evolution of social and economic systems.
Free entrance, in English (no translation)
Full program here
Venue: Mundaneum, Rue de Nimy 76 Mons, Belgium.
Registration : +32 (0)65 31 53 43 or email@example.com