Author: cxdig

Complexity Weekend. October 16-18, 2020

Meet new collaborators and learn Complexity Science by doing

Complexity Science is an interdisciplinary and inclusive framework for studying, designing, and controlling Complex system behavior, such as global pandemics, extreme weather events, electoral politics, economic recovery and poverty, and much more. Over the course of one weekend, you will experience Complexity from a variety of perspectives, while developing solutions to real-world problems in a team setting, such as:

 

  • Information flow in a time of global connectivity
  • Adaptive planning for communities amidst turbulence and uncertainty
  • Addressing climate change and extreme weather events
  • Ensuring fair and accurate elections
  • Evaluating shelter-in-place policy efficacy during a pandemic
  • Building resiliency into businesses, governments, and families
  • Healthcare policy and efficacy
  • Mental health and wellness
  • Any other difficult and ongoing problems you can identify

Source: www.complexityweekend.com

A global network for network medicine

Bradley A. Maron, Lucia Altucci, Jean-Luc Balligand, Jan Baumbach, Peter Ferdinandy, Sebastiano Filetti, Paolo Parini, Enrico Petrillo, Edwin K. Silverman, Albert-László Barabási, Joseph Loscalzo & International Network Medicine Consortium
npj Systems Biology and Applications volume 6, Article number: 29 (2020)

 

Network Medicine is now an established scientific discipline, having generated key insights on integrated mechanisms underlying complex human diseases. The next discovery phase will emphasize innovating analytics that optimize networks for advancing precision medicine. Accomplishing this goal will require organizing a scientifically diverse team studying big datasets shared globally.

Source: www.nature.com

Complexity science approach to economic crime

János Kertész and Johannes Wachs discuss how complexity science and network science are particularly useful for identifying and describing the hidden traces of economic misbehaviour such as fraud and corruption.

 

Nature Reviews Physics (2020)

Source: www.nature.com

AI and Its New Winter: from Myths to Realities

Luciano Floridi 
Philosophy & Technology volume 33, pages1–3(2020)

 

The trouble with seasonal metaphors is that they are cyclical. If you say that artificial intelligence (AI) got through a bad winter, you must also remember that winter will return, and you better be ready. An AI winter is that stage when technology, business, and the media get out of their warm and comfortable bubble, cool down, temper their sci-fi speculations and unreasonable hypes, and come to terms with what AI can or cannot really do as a technology (Floridi 2019), without exaggeration. Investments become more discerning, and journalists stop writing about AI, to chase some other fashionable topics and fuel the next fad.

Source: link.springer.com