The digitally connected world has become a large, swirling sea of information stripped of context. The Digital Economy as a Complex System
The digital economy is a complex system, but orthodox economic theory is unable to handle such complexity. For some decades economists have realized that the conventional theoretical models are not consistent with data on what people and institutions actually do, and a new behavioral economics is emerging. The science of complex systems developed over the last 50 years has developed many new ideas and methods for analyzing the non-linear non-equilibrium dynamics of complex systems. Responding to the failures of orthodox economics, those managing the global economy are willing and able to embrace and lead in this new way of looking at economic systems. Thus, economics is evolving and better able to inform decision making in the public and private sectors.
This offers new ways of sthinking about the digital economy for entrepreneurs and policy makers which in turn will provide many new example of real-world complexity. The digital economy will drive the creation of future wealth and prosperity, co-evolving with the science of complex systems. We postulate that the research in complex systems will enable better understanding of the digital economy, augment existing economic models and improve their prediction powers.
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A Conversation with Behnaz Arzani: Shaping the future of network management
Behnaz Arzani, a principal researcher at Microsoft Research, discusses her pioneering work in automated network management the challenges of managing large-scale networks, particularly during incidents, and the role of AI and heuristics in addressing these challenges. The conversation also covers her recently open-sourced project, MetaOpt, which helps network operators analyze and improve the impact of various network algorithms in use. ...
