Albert-László Barabási Talk at NYU: Quantifying Outcomes in Individual Careers, from Science to Art

We cordially invite you to a talk and book signing event with Albert-László Barabási, hosted by Dr. György Buzsáki, Professor of Neuroscience at the New York University School of Medicine.

The Formula: Quantifying Outcomes in Individual Careers, from Science to Art

Common wisdom goes something like this: Performance drives success, hence work hard and success will follow. But as we’ve all witnessed, that’s not always the case. Here I aim to quantify success in science and arts by realizing that while your performance is about you, your success is about “us”—meaning that success is a collective and measurable quantity that captures how your peers observe and recognize your performance. This approach allows us to explore, using the tools of science, the emergence of impact, and quantify our ability to measure and predict success. I will discuss when will a scientist make her highest impact discovery, how to assign credit to collaborative work, and the role of professional and institutional networks in the emergence of impact and recognition in both science and art.

Albert-László Barabási holds appointments at the Network Science Institute at Northeastern University, Division of Network Medicine at Harvard Medical School and Department of Network and Data Sciences at Central European University. A native of Transylvania, Romania, he received his Masters in Theoretical Physics at the Eötvös University in Budapest, Hungary and Ph.D. at Boston University. He is the author of the newly released The Formula: The Universal Laws of Success (2018), Linked (2002), and Bursts (2010) and the textbook Network Science (Cambridge, 2017), and co-edited Network Medicine (Harvard, 2015). His work lead to the discovery of scale-free networks and to the so-called ‘Barabási-Albert model’ that explains the widespread emergence of the scale-free property in biological, technological and social systems, which continues to make him one of the most cited scientists today.

Join us Thursday Dec 13th at 4pm for talk, followed by reception and book signing. For questions contact [email protected]

http://formula.barabasi.com/

The event is free and open to the public. We would appreciate if you indicate your attendance here: barabasi.eventbrite.com

 











When: Thu., Dec. 13, 2018 at 4:00 pm - 6:00 pm
Where: NYU (Other)
Washington Square Area
212-998-1212
Price: Free
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We cordially invite you to a talk and book signing event with Albert-László Barabási, hosted by Dr. György Buzsáki, Professor of Neuroscience at the New York University School of Medicine.

The Formula: Quantifying Outcomes in Individual Careers, from Science to Art

Common wisdom goes something like this: Performance drives success, hence work hard and success will follow. But as we’ve all witnessed, that’s not always the case. Here I aim to quantify success in science and arts by realizing that while your performance is about you, your success is about “us”—meaning that success is a collective and measurable quantity that captures how your peers observe and recognize your performance. This approach allows us to explore, using the tools of science, the emergence of impact, and quantify our ability to measure and predict success. I will discuss when will a scientist make her highest impact discovery, how to assign credit to collaborative work, and the role of professional and institutional networks in the emergence of impact and recognition in both science and art.

Albert-László Barabási holds appointments at the Network Science Institute at Northeastern University, Division of Network Medicine at Harvard Medical School and Department of Network and Data Sciences at Central European University. A native of Transylvania, Romania, he received his Masters in Theoretical Physics at the Eötvös University in Budapest, Hungary and Ph.D. at Boston University. He is the author of the newly released The Formula: The Universal Laws of Success (2018), Linked (2002), and Bursts (2010) and the textbook Network Science (Cambridge, 2017), and co-edited Network Medicine (Harvard, 2015). His work lead to the discovery of scale-free networks and to the so-called ‘Barabási-Albert model’ that explains the widespread emergence of the scale-free property in biological, technological and social systems, which continues to make him one of the most cited scientists today.

Join us Thursday Dec 13th at 4pm for talk, followed by reception and book signing. For questions contact [email protected]

http://formula.barabasi.com/

The event is free and open to the public. We would appreciate if you indicate your attendance here: barabasi.eventbrite.com

 

Buy tickets/get more info now