Science of Science Summer School (S4) 2022

August 1 - 12, 2022, Virtually hosted by the School of Information Studies at Syracuse University, NY, USA

Cost: Free, but apply

Apply by: July 2, 2022

S4 will introduce you to foundational and emerging questions, theories, and methods for science of science. We will review the big questions regarding knowledge production and the role of individuals, teams, countries, institutions, and funding agencies in making this possible. We will review machine learning, artificial intelligence, network science, and other topics to answer these questions. The school will be heavily based on Python, scikit-learn, TensorFlow/Keras, networkx, and the JupyterLab environment. We will provide a curated web-based environment with all software packages and relevant datasets pre-installed, so you will not need anything installed on your computer.

The first week of summer school, August 1 - August 5, 2022:

Interest-based suggested matching for group projects
Synchronous lectures and presentations by leaders in the field
Opportunities for group discussion about lectures
Opportunities for socializing

The second week of summer school, August 8 - August 12, 2021:

Synchronous (Zoom) lectures from mentors and speakers
One-on-one or small group meetings with mentors
Project presentations and results by the end of week August 12, 2021
(Optional) mini-grant proposal submission by August 12, 2021

Speakers/mentors:

Aaron Clauset, Associate Professor, Colorado University, Boulder
Ludo Waltman, Professor, Leiden University
Roberta Sinatra, Associate Professor, ITU Copenhagen
Julia Lane, Professor, New York University
Daniel Romero, Associate Professor, University of Michigan
Patricia Feeney, Head of Metadata, Crossref
Bei Yu, Professor, Syracuse University
Arunas Radzvilavicius, Editor, Nature Human Behaviour
Nihar B. Shah, Assistant Professor, CMU
Tom Hope, Assistant Professor, HUJI, and Research Scientist, Allen AI (AI2)

Organizers:

Daniel Acuna, iSchool, Syracuse University
Stephen V. David, Oregon Health & Science University

These are a sample of the topics to be covered at S4:

Computational discovery of new knowledge
Predictability and analysis of success
Problems and opportunities in scientific peer review
Issues in replication and reproducibility
Economics of science and science policy
Analysis of open access scientific literature and other scientific artifacts
Evolution of scientific ideas
Age, gender, and mentorship effects on science
Scientific misconduct and computational research integrity
Bring your topic to the school if we have missed something!
These are some of the techniques you will learn about:
Machine Learning / Artificial Intelligence
Network Science / Complex systems
Informetrics / Scientometrics / Bibliometrics
Visualization
Econometrics / Causal inference
Library Science

Partially sponsored by NSF's "Collaborative Research: Social Dynamics of Knowledge Transfer Through Scientific Mentorship and Publication" award #1933803

Science of Science Summer School (S4) Application

https://s4.scienceofscience.org

Bei Yu @LANTIS Lab

Professor, PhD Program Director

School of Information Studies
Syracuse University