last call to apply - science of science summer school

DE
Daniel E. Acuna
Tue, Jun 29, 2021 2:54 PM

Apologies for cross-posting

SCIENCE OF SCIENCE SUMMER SCHOOL (S4) 2021 – July 26 to August 6, 2021 - Virtual - Apply by July 2

This free, NSF-funded summer school is an intensive two-week school to happen between July 26-30 and August 2-6, 2021. It will be virtually hosted by Syracuse University's iSchool. The first week will be an intensive learning experience with synchronous and asynchronous materials, group projects, and social events. The second week will be more of a traditional conference where you will attend lectures and schedule one-on-one meetings with our fantastic lineup of mentors. Students of all levels across the world are invited to participate (the first week will have events in multiple time zones!)

S4 will introduce you to foundational and emerging questions, theories, and methods for science of science. We will survey how knowledge is produced and the role of individuals, teams, countries, institutions, and funding agencies in making this possible. We will review machine learning, deep learning, network science, and other methods 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.

Week 1: Synchronous and asynchronous learning on programming, data manipulation, analysis, and modeling with ML/AI/deep learning, group discussions, social events.

Week 2: Presentation and interaction with mentors and invited speakers. Project presentations.

Mentors (in alphabetical order)

  • Monya Baker, Nature Editor, commissions and edits opinion articles on improving science for Nature magazine

  • James A. Evans, Professor, Department of Sociology, University of Chicago

  • Vincent Larivière, Full Professor, Canada Research Chair on the Transformations of Scholarly Communication, l’Université de Montréal

  • Staša Milojević, Associate Professor, Department of Informatics, Indiana University, Bloomington

  • Cassidy R. Sugimoto, Professor and Tom and Marie Patton Chair in the School of Public Policy at Georgia Institute of Technology

  • Dashun Wang, Associate Professor, Kellogg School of Management, Northwestern University

  • Bruce Weinberg, Professor, Department of Economics, The Ohio State University

  • Jevin West, Associate Professor, Information School, University of Washington

Speakers

  • Luís A. Nunes Amaral, co-Director, Northwestern Institute on Complex Systems Professor of Chemical & Biological Engineering, Northwestern University

  • Ying Ding, Bill & Lewis Suit Professor, School of Information, the University of Texas at Austin

  • Beth Patin, Assistant Professor, iSchool, Syracuse University

  • Jian Qin, Professor, iSchool, Syracuse University

  • Lucy Lu Wang, Postdoctoral Investigator at the Allen Institute for AI (AI2) in the Semantic Scholar research group

Organizers:

  • Daniel Acuna, Assistant Professor, School of Information Studies, Syracuse University

  • Stephen V. David, Associate Professor of Otolaryngology-Head and Neck Surgery, School of Medicine, Oregon Health & Science University

Application by July 2, 2021 (notification by July 6, 2021):

https://scienceofscience.org/s4/

Apologies for cross-posting SCIENCE OF SCIENCE SUMMER SCHOOL (S4) 2021 – July 26 to August 6, 2021 - Virtual - Apply by July 2 This free, NSF-funded summer school is an intensive two-week school to happen between July 26-30 and August 2-6, 2021. It will be virtually hosted by Syracuse University's iSchool. The first week will be an intensive learning experience with synchronous and asynchronous materials, group projects, and social events. The second week will be more of a traditional conference where you will attend lectures and schedule one-on-one meetings with our fantastic lineup of mentors. Students of all levels across the world are invited to participate (the first week will have events in multiple time zones!) S4 will introduce you to foundational and emerging questions, theories, and methods for science of science. We will survey how knowledge is produced and the role of individuals, teams, countries, institutions, and funding agencies in making this possible. We will review machine learning, deep learning, network science, and other methods 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. Week 1: Synchronous and asynchronous learning on programming, data manipulation, analysis, and modeling with ML/AI/deep learning, group discussions, social events. Week 2: Presentation and interaction with mentors and invited speakers. Project presentations. Mentors (in alphabetical order) * Monya Baker, Nature Editor, commissions and edits opinion articles on improving science for Nature magazine * James A. Evans, Professor, Department of Sociology, University of Chicago * Vincent Larivière, Full Professor, Canada Research Chair on the Transformations of Scholarly Communication, l’Université de Montréal * Staša Milojević, Associate Professor, Department of Informatics, Indiana University, Bloomington * Cassidy R. Sugimoto, Professor and Tom and Marie Patton Chair in the School of Public Policy at Georgia Institute of Technology * Dashun Wang, Associate Professor, Kellogg School of Management, Northwestern University * Bruce Weinberg, Professor, Department of Economics, The Ohio State University * Jevin West, Associate Professor, Information School, University of Washington Speakers * Luís A. Nunes Amaral, co-Director, Northwestern Institute on Complex Systems Professor of Chemical & Biological Engineering, Northwestern University * Ying Ding, Bill & Lewis Suit Professor, School of Information, the University of Texas at Austin * Beth Patin, Assistant Professor, iSchool, Syracuse University * Jian Qin, Professor, iSchool, Syracuse University * Lucy Lu Wang, Postdoctoral Investigator at the Allen Institute for AI (AI2) in the Semantic Scholar research group Organizers: * Daniel Acuna, Assistant Professor, School of Information Studies, Syracuse University * Stephen V. David, Associate Professor of Otolaryngology-Head and Neck Surgery, School of Medicine, Oregon Health & Science University Application by July 2, 2021 (notification by July 6, 2021): https://scienceofscience.org/s4/