Jul 16 (Saturday), 2022 | 8 AM-noon EST | 8 PM-midnight Beijing | Click here to enter online zoom meeting
Time Session Speaker Title
8:00-8:10 Welcome Lingfei Wu
University of Pittsburgh
8:10-8:30 Invited talk Steve Fiore
UCF & INSciTS (2022 President)
Science of Team Science: Past, Current, and Future
8:30-10:00 Frontiers in the Science of Team Science (Host: Junming Huang)
8:30-8:50 Invited talk Jinhyuk Yun
Soongsil U
Quantifying Team Chemistry in Scientific Collaboration
8:50-9:10 Invited talk Fengli Xu
University of Chicago
Flat Teams Drive Scientific Innovation
9:10-9:30 Invited talk Dongbo Shi
Shanghai Jiao Tong University
Can the Brain Drain of Elite Scientists be Reversed? Evidence from China’s Young Thousand Talents Program
9:30-9:50 Invited talk Yian Yin
Cornell University (incoming AP)
Adaptability and the Pivot Penalty in Science
9:50-10:00 Tea break
10:00-11:00 Editor Panel: Invisible Authors, Science Gatekeepers, or Both? (Host: Partrick Park)
Mary Elizabeth Sutherland
Ludo Waltman
Quantitative Science Studies (QSS)
Kevin Boyack
Journal of the Association for Information Science and Technology (JASIST)
11:00-12:00 Scholar Panel: What is a social “mechanism”? How did you measure it? (Host: Lingfei Wu)
Lianghao Dai
Zhejiang U, Dept. of Sociology
Yi Bu
Dept. of Information Management, Peking University
An Zeng
Beijing Normal University, School of Systems Science
Jiang Li
Journal of Informetrics
Erin Leahey
University of Arizona, School of Sociology
Donna Ginther
University of Kansas, Dept. of Economics & NBER
Yong-Yeol Ahn
Indiana University Bloomington, Luddy School of Informatics, Computing, and Engineering
12:00-12:10 Concluding remarks Junming Huang
Princeton University
The past century has been characterized by a dramatic increase in the scale and complexity of science and technology, growing specialization, and a transition from individual innovation to collaborative discovery. This shift has been driven by a high expectation for “team science”, that scientists in teams will achieve breakthroughs otherwise difficult to attain through individual or simple additive efforts. Yet, two problems at the foundation of team science call for thorough investigation lest this high expectation devolve into underdelivered promise. First, the challenges of collectively generating new ideas in teams, along with the funding biases that favor teams that apply existing paradigms to solve production challenges over those that propose unprecedented ideas that could alter knowledge flows can both stifle, slow down, and create imbalance in the progress of science. Second, the growth of individual scientists has become an overlooked topic at an age when most scientists spend considerable time working in teams, which is likely to constrain creative thinking, to curtail due credit, and to undermine career progression. Taken together, the steady increase in the size and complexity of research teams presents an urgent need to understand how individual scientists can learn, progress, and effectively innovate in teams. The satellite aims to achieve a collective understanding of these problems and their variations across fields by bringing together scientists, practitioners, policymakers, and beyond.

Lingfei Wu

University of Pittsburgh

Junming Huang

Princeton University

Patrick Park

Carnegie Mellon University