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Reproducibility Workshop Series: Introduction to Reproducibility, Panel, and Reception! In-Person


Join us as we launch the fall Workshop series on Reproducibility for Biomedical Researchers! This session will start with an overview of the reproducibility "crisis" and highlight solutions for making research more reproducible. We will then hear from a panel of UCSF and Bay Area researchers about how they work to improve reproducibility in their work. Finally, we will conclude with a reception giving you a chance to connect with UCSF colleagues over food and drink! Please register below.

Learning Objectives 

By the end of this session, learners will be able to:

  • Define reproducibility in the context of the biomedical sciences
  • Describe two causes of non-reproducible research
  • Identify one practice or tool to improve the reproducibility of their work

Instructor: Ariel Deardorff - UCSF Library Data Science Initiative


  • Stephen Floor, PhD - UCSF 
  • Byron Smith, PhD - Gladstone
  • Seemay Chou, PhD - UCSF
  • Perrine Janiaud, PhD - Stanford 

Speaker Bio

Ariel Deardorff is the UCSF Data Services Librarian and member of the Library’s Data Science Team. She teaches classes and does research on data management, open science, and reproducibility in the health sciences. She has a Master’s degree from the University of British Columbia and was a National Library of Medicine Associate Fellow before arriving at UCSF.

This workshop is part of a series on Biomedical Reproducibility. Other workshops in this series include:

Thursday, Sep 19 2019
3:30pm - 5:00pm
Time Zone:
Pacific Time - US & Canada (change)
Mission Hall 1401
Mission Bay
  Data Science     Data Science > Data Management     Open Access     Special Event  
Registration has closed.

Event Organizer

Profile photo of Ariel Deardorff
Ariel Deardorff

Data Services Librarian