Open Research and Reproducibility Across Disciplines Online
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.
Participants:
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Juliana Freire, Professor of Data Science and Computer Science;
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Fraida Fund, Research Assistant Professor, Electrical and Computer Engineering;
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David W. Hogg, Professor of Physics and Data Science;
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Jonathan Winawer, Associate Professor of Psychology and Neural Science
- Date:
- Monday, February 13, 2023
- Time:
- 3:00pm - 4:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location/Library:
- Remote
- Online:
- This is an online event. Event URL will be sent via registration email.
- Type:
- Data Services classes Love Data Week
As a part of NYU's commitment to global inclusion, our events and initiatives are open to individuals of all backgrounds and identities.
