Search Results for author:
Found 5 papers, 2 papers with code
Social AI and the Challenges of the Human-AI Ecosystem
In order to understand the impact of AI on socio-technical systems and design next-generation AIs that team with humans to help overcome societal problems rather than exacerbate them, we propose to build the foundations of Social AI at the intersection of Complex Systems, Network Science and AI.
The Clinical Trials Puzzle: How Network Effects Limit Drug Discovery
The depth of knowledge offered by post-genomic medicine has carried the promise of new drugs, and cures for multiple diseases.
Non-Coding RNAs Improve the Predictive Power of Network Medicine
Network Medicine has improved the mechanistic understanding of disease, offering quantitative insights into disease mechanisms, comorbidities, and novel diagnostic tools and therapeutic treatments.
Human Perception of Performance
Humans are routinely asked to evaluate the performance of other individuals, separating success from failure and affecting outcomes from science to education and sports.
Emergence of scaling in random networks
Systems as diverse as genetic networks or the world wide web are best described as networks with complex topology.
Disordered Systems and Neural Networks adap-org Statistical Mechanics Adaptation and Self-Organizing Systems
