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Open Research and Reproducibility Across Disciplines

Open Research and Reproducibility Across Disciplines Online

Monday, February 13, 2023
3:00pm - 4:00pm
Time Zone:
Eastern Time - US & Canada (change)
This is an online event. Event URL will be sent via registration email.
  Data Services classes     LoveData  
Registration has closed.

The sharing of data, code, and methods is becoming more widespread across academia. Open scholarship advocates consider “reproducibility,” the ability for a third party to replicate research results, essential. Additionally, an increasing number of funders and journals require publication of data–a term often loosely defined–alongside a paper. But “reproducibility” can mean different things, depending on the kind of work a scholar does. For some, it might mean sharing a spreadsheet of data; for others, it might extend to detailing a specific physical testing environment. Data Services is excited to host a panel of scholars from a range of disciplines who seriously consider reproducibility as a part of their scholarship, for a discussion about how reproducibility plays a role in their work, and how they see the ecosystem of research sharing changing in the future. 



  • Juliana Freire, Professor of Data Science and Computer Science; 

  • Fraida Fund, Research Assistant Professor, Electrical and Computer Engineering; 

  • David W. Hogg, Professor of Physics and Data Science; 

  • Jonathan Winawer, Associate Professor of Psychology and Neural Science

Event Organizer

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NYU Data Services