A talk by Prof. Albert-László Barabási, leading expert in the field of network analysis.
Due to an unexpected emergency, the event is now postponed until March 2022. We apologises for any inconveniences. Thank you for your interest in our event series!
Our current approach to success is driven by the belief that predicting exceptional impact requires us to detect extraordinary ability. Despite the long-standing interest in the problem, even experts remain notoriously bad at predicting long-term impact. Success becomes suddenly predictable, however, if we see it not as an individual but a collective phenomenon: for something to be successful, it is not enough to be novel or appealing, but we all must agree that it is worthy of praise. If we accept the collective nature of success, its signatures can be uncovered from the many pieces of data around us using the tools of network and data sciences.
In this talk, Prof. Albert-László Barabási, leading expert in the field of network theory, will focus on success in science as a way to testing our ability to measure and predict success. He will show that the future impact of research papers can be predicted by decoding the community’s early reaction to it. Moving to scientific careers, he ask the question whether we can predict when will scientists make their highest impact discovery and how to assign credit to collaborative work. The uncovered patterns point towards a general, quantitative theory of success and signal the emergence of a new research field - The Science of Success.
