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Lingfei Wu

A computational social scientist interested in measuring innovation in science and Technology, discovering effective team mechanisms to accelerate innovation, and desigining AI tools to automate innovation.





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Selected Publication

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Small Teams Disrupt

Large teams develop and small teams disrupt science and technology.

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Soft Skills Matter

Skill discrepancies between education and jobs reveal the need to supply soft skills.

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Networked Lives Accelerate

People interact faster and created more opportunties in larger cities and online communities.

INFSCI 3350 DOCTORAL SEMINAR

Quantifying Advances in Science and Technology

Instructor: Lingfei Wu

Study Group: The Geometry of Thinking

Thinking unthinkable - can machines push the limits of human reasoning? To answer this question, I am hosting a study group discussing the duality between reasoning and the geometry of data represetation learned by artificial neural networks. 

Teaching: Data Visualization

I am teaching the INFO VIZ class for graduate students from the School of Computing and Information at the University of Pittsburgh. I use my book prepared for data scientists who are interested in developing programming skills for data visualization.

Hackathon: The Future of Employment

I am organizing a hackaton to present the projects of my INFO VIZ students in analyzing and visualizing data on skills and jobs from Kaggle. This hackthon also connects consultants, scientists and artists to grow a community of ideas, data, grants, and research opportunities. 

Research

 
500 Million Workers  

Find Your Next Skill

To prepare the future workforce for the automation age, I work as a LinkedIn Economic Graph Scholar to analyze the skills of 500 million LinkedIn users and predict their optimal, next skills for salary using artificial neural networks.


10 Million Scholars 

Reset Your Innovation Clock

To promote innovation in science and technology, I identify 10 million scientists from the Web of Science dataset and analyze their citation records to reveal the aging effect. I also investigate the impact of institutional switch on innovation.

Service

2019/10                        
            

The Web Conference 2020

The Web and Society Track, programme committee member, invited by Yu-Ru Lin (U of Pittsburgh).

2019/06                       

The Science of Science in Beijing

Co-organize with James Evans (U of Chicago) and Jie Tang (Tsinghua U)

2019/06                       

Complex Networks, Geometry, and Machine Learning Retreat

Co-organize with Yi-Zhuang You (UCSB), Pan Zhang (CAS), Jiang-Zhang (BNU)

2019/05                       

NetSci 2019  

Machine Learning in Network Science Satellite Session, programme committee member, invited by Nicola Perra (ISI), M├írton Karsai (ENS Lyon), Bruno Ribeiro (Purdue), and Ciro Cattuto (ISI) 

Institutions

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School of Computing and Information

2019 - present

Assitant Professor

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The Department of Sociology, Knowledge Lab

2015    -   2018

Postdoctoral Researcher

Previous Talks and Visiting

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Address

The University of Chicago
Department of Sociology
1126 East 59th Street
Chicago, IL 60637

Contacts

wlf850927@gmail.com