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Center for Open and REproducible Science (CORES) Fall lecture series

Center for Open and REproducible Science (CORES) Fall lecture series

September 14, 2021

The Center for Open and REproducible Science is proud to present our virtual Fall lecture series intended to introduce the community to four open science practices: reproducible data analysis, reproducible modeling, reproducible manuscripts, and sharing research objects. Each practice will have an associated conceptual and practical component.

 

The conceptual lecture aims to discuss what the practice is and how it places into the context of transparent and reproducible research. While the practical session will show how to implement the practice in one’s research. 

 

This event is open to the public - please share with your colleagues interested in open science! 

 

When: The lecture series will run every Thursday from September 30 to November 18

Time: Each lecture will start at 3pm (pacific time) except the November 4 lecture (this one will start at 11am pacific time)

RSVP: https://bit.do/coreslectureseries2021

Where: Please RSVP at the link above for the zoom room information. The meeting link will be sent out when you register. We will be meeting in the same room each week. If you do not receive a zoom link, please email Franklin (ffein@stanford.edu)

 

Speaker and topics:

Name of talk

Speaker

Type

Date of talk

Time 

(pacific time)

Reproducible Data Analysis

Maya Mathur 

Conceptual

Sept 30

3pm

Reproducible Data Analysis

Jan Voelkel 

Practical

Oct 7

3pm

Reproducible Modeling

Percy Liang 

Conceptual

Oct 14

3pm

Reproducible Modeling

Armin Thomas

Practical

Oct 21

3pm

Reproducible Manuscript 

Mike Frank

Conceptual

Oct 28

3pm

Reproducible Manuscript 

Shilaan Alzahawi

Practical

Nov 4

11am

Sharing Research Objects 

John Borghi

Conceptual

Nov 11

3pm

Sharing Research Objects 

Zac Painter

Practical

Nov 18

3pm

 

Please feel free to email Franklin (ffein@stanford.edu) with any questions!

 

See you there!

Center for Open and REproducible Science