Biography

My research explores how interconnectedness and organizations shapes the scientific, artistic and business world around us. I employ a highly multidisciplinary approach—combining tools and techniques from Computational Social Science, Data Science, and Network Science with theory from Sociology. My current focus is in the Science of Science where my group analyzes and models how organizational structure and strategic decisions impact innovation, creativity, and success.

Before arriving at UVA, I received a joint Ph.D. degree in Informatics (focusing on complex networks) and Cognitive Science from Indiana University, Bloomington, an MSc from King’s College London in complex systems modeling and a BA in mathematics from Cornell University.

Recent News

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[05/08/24] Gates organized the inagural Data Is Art competition at UVA. Congratulations to Julia Daser and Pepi Ng for their winning animatronic data visualization!

[04/24/24] New paper Mapping Philanthropic Support of Science published in Scientific Reports.

[02/22/24] New paper Translating interdisciplinary knowledge for gender equity: Quantifying the impact of NSF ADVANCE published in Social Science Quarterly.

[02/16/24] Invited presentation on The increasing fragmentation of global science limits the diffusion of ideas at SDS-Darden Collaboratory for Applied Data Science in Business.

[11/28/23] New paper A network-based normalized impact measure reveals successful periods of scientific discovery across disciplines featured on the cover of PNAS.

[10/30/23] New paper Quantifying Hierarchy and Prestige in US Ballet Academies as Social Predictors of Career Success published in Scientific Reports.

[09/27/23] Invited presentation on Beyond Core-Periphery: Uncovering the Impacts of Scientific Networks on Resources and Recognition at Northwester Institute on Complex Systems.

[08/01/23] Welcome Jianjian Gao as a new Postdoc in our lab!

[05/31/23] Congratulations Dr. Yessica Herrera-Guzman who successfully defended her disseration with highest honors!

[03/08/23] New paper Reproducible Science of Science at scale: pySciSci published in Quantitative Science Studies.

Projects

.js-id-Research

ADVANCE Networks

Quantifying how the NSF ADVANCE program potentially facilitated the exchange of expertise and knowledge about gender equity and organizational transformation.

pySciSci

pySciSci: A python package for the science of science.

Systemic Inequality in Science & Art

Quantifying systemic gender and nationality inequality in science and art.

CluSim

CluSim: a package for calculating clustering similarity.

Clustering Analysis

A deep dive into clustering similarity.

Canalization & Control in Complex Systems

Quantifying canalization & control in complex dynamical systems.

CANA

CANAlization: Control & Redundancy in Boolean Networks.

Autopoiesis

Emergent individuals as organizations.

Code

.js-id-Code

ADVANCE Networks

Quantifying how the NSF ADVANCE program potentially facilitated the exchange of expertise and knowledge about gender equity and organizational transformation.

pySciSci

pySciSci: A python package for the science of science.

Systemic Inequality in Science & Art

Quantifying systemic gender and nationality inequality in science and art.

CluSim

CluSim: a package for calculating clustering similarity.

Clustering Analysis

A deep dive into clustering similarity.

Canalization & Control in Complex Systems

Quantifying canalization & control in complex dynamical systems.

CANA

CANAlization: Control & Redundancy in Boolean Networks.

Autopoiesis

Emergent individuals as organizations.

Meet the Team

Principal Investigators

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Alexander J. Gates

Assistant Professor

Postdocs

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Jianjian Gao

Postdocs

Computational Social Science, Network Science, Science of Science, Policy Innovation and Diffusion

Visitors

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Charles Levine

Visiting Student

Alumni

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