Spring 2020 Events and Workshops

Unless otherwise noted, all workshops take place in John M. Olin Library in Instruction Room 2 on Level A. 

February 

2/4: Data Management: Sharing and FAIRness (Part 2), 121 p.m.

2/7: Telling Your Story with ArcGIS Storymaps, 121 p.m. 

2/102/14: Love Data Week 

2/10: R vs Python: Love Them Both? Medical Campus, FLTC Room  

 301, 24 p.m. 

2/11: R vs Python: Love Them Both? 10 a.m.12 p.m. 

2/12: Introduction to Tableau Public, FLTC Room 301, 10 a.m.12 p.m. 

2/12: Introduction to Tableau Public, 2-4 p.m 

2/13:

     9am – Breakfast and Users Group Kick-off Meeting, Olin Library, Room 142 

     10am – Presentation by Xiao-Li Meng, PhD.,Whipple V. N. Jones Professor of Statistics at Harvard University and the editor of the Harvard Data Science Review)

          AIBeatles, and Election— A Nano Tour of Data Science

What is data science (DS)? Some declare DS=CS (Computer Science), some consider DS=S (Statistics), and yet some even think DS=BS (but not Bayesian Statistics).  The truth is that DS is so broad that it is easier to understand it through its compliment. From that angle, DS is not just about deep learning, or prediction, or data analysis.  It is not a STEM discipline. It is not even a single discipline. This talk reports my experience as the founding Editor-in-Chief of Harvard Data Science Review (HDSR), and as a statistician, in exploring the landscape of DS.  I will first demonstrate its vastness by using articles in HDSR, which address questions ranging from “How does AI impact my life?” to “Who wrote In My Life?”. I will then demonstrate how statistical thinking helps to reveal a big data paradox, which provides an explanation of our collective failure in predicting 2016 US Presidential Election, as well as an insight into the 2020 election.

2/19: Data Management Planning and Practice (Part 1), 45 p.m. 

2/20: Telling Your Story with ArcGIS Story Maps, 45 p.m. 

2/26: Data Management: Sharing and FAIRness (Part 2), 45 p.m. 

2/27: Intro to QGIS – Vector Data, 46 p.m.  

March 

3/24WashU Data User’s Group Meeting, 45 p.m., Olin Library,  

 Instruction Room 3  

April 

4/21: WashU Data User’s Group Meeting, 45 p.m., Olin Library,  

 Instruction Room 3 

Dates to be confirmed:

 Responsible Conduct of Research Session (RCR), dates available soon at:  https://library.wustl.edu/services/data/workshops/  

About the author

As the Head of Data Services at Washington University in St. Louis, Moore directs services in digital data management, curation, analysis, visualization, literacies, and GIS. She was a co-PI on the IMLS grant, Community Standards for 3D Data Preservation (CS3DP), which continues to bring stakeholders together to establish agreement on how to make 3D data long-lasting (book forthcoming); a partner and curator in the Data Curation Network (DCN), which has created a shared curation model for institutions; a co-PI on the IMLS Specialized Data Curation Workshop grant, which is focused on training curators in DCN methods; and the WashU Representative for the Research Data Alliance, an international organization addressing research data. Moore is program faculty in International and Area Studies and a GIS instructor in the UCollege.