Join us for the next installment of our Thinking with Data lecture series as we are joined by Dr. Greg Matthews! Dr. Greg Matthews, Associate Professor and Director for Data Science at Loyola University, will discuss the historical importance of context and technology in art. He argues that “Data Art” is the next logical step for the art world and discusses how people can get involved in making data art. 

According to Dr. Matthews, “Artists throughout history have created art that is a reflection of the society that they are living in and experiencing.  One of the most dominating features of the society we are currently living in is the massive amount of data that is continuously being collected; we live in a big data world.  It is natural then that artists would begin to reflect on this aspect of society and incorporate data into their art.  In this talk, I give a brief history of technology and data in art followed by a summary of data art from the 21st century.” If you would like to view some of Dr. Matthews’ art, visit his art webpage.

Dr. Matthews will be giving his lecture “Thinking with Data: Beyond Data Visualization – Data as Art!” on Thursday, May 19th at 3:30 pm in the DREAM lab in Knight Library; you can register for the lecture here. Dr. Matthews will also be at Coffee + Data && Code (in-person & online) the next day, Friday, May 20th at noon in the DREAM lab; you can register for Coffee + Data && Code here. We look forward to seeing you there!

The UO Libraries’ Statistical Help Desk is available this term Monday – Friday 11 am – 4 pm in the DREAM Lab and by appointment (in person or via Zoom). We offer help with statistics, statistical software like R, SPSS, Python, research design, GIS, git/GitHub, Zotero, and qualitative software such as Dedoose. 

This term we will be offering the following workshops and events:

• Learn Programming and Data Management
  • Introduction to R, Tuesdays and Thursdays from noon to 1:30, April 5 thru May 12, in-person or online. This 12-part workshop series will cover R basics from setting up the program and manipulating data frames to creating reports and publication quality graphics.
  • Introduction to Python, Mondays and Wednesdays from noon to 1:30, April 11 thru April 27, in-person or online. This 8-part workshop series will introduce you to programming in Python including data analysis, visualization, and debugging.
  • Dedoose for Research for Absolute Beginners, Wednesday April 20, 2:00 to 4:00, in-person or online. Learn the basics of Dedoose, an application for data analysis in mixed methods research.
  • A Very Short Introduction to GitHub, Monday April 4, noon to 12:45, in-person or online. Learn about GitHub, the importance of version control, and how to use the essential functions of GitHub.
  • Building Digital archives and Storytelling with CollectionBuilder, Fridays 3:00 to 4:30, April 15 thru May 6, in-person or online. This 3-part workshop series will teach you how to create a digital archive website using CollectionBuilder, including skills such as building a digital archive, using markdown to create webpages, and customizing your project.
• Attend a talk
  • Data Trouble with special guest Dr. Miriam Posner, assistant professor at the UCLA School of Information; Thursday April 14 from 5:00 to 6:30 pm. This talk discusses the relationship between data and the humanities.
  • Beyond Data Visualization: Data as Art, with special guest Dr. Greg Matthews, associate professor, and Director of Data Science at Loyola University Chicago; date and time to be announced.
• Meet up with other people interested in data and code
  • Coffee + Data && Code meetings for anyone working with data, every Friday at noon from April 1 through June 3, providing free coffee for all in-person attendees.

You can view all our workshops and events here.

Please join us on Friday, November 19, 2021, 3:00pm to 5:00pm to celebrate and recognize the Percent for Art sculpture recently installed in the Price Science Commons. Sculptor Lee Imonen will discuss his vision and creative process for the work titled, “1116 Pages”.

In addition, we will explore the recently completed technology refresh of the Visualization Lab now equipped with three new 87-inch screens and an enhanced computerized display wall.

This event is free and open to the public. Accommodations for people with disabilities will be provided if requested in advance by calling 541-346-3056, or email libadmin@uoregon.edu.

Please welcome our new statistical consultant, Sabrina Reis. Sabrina is a fourth-year student double majoring in Data Science and Mathematics and Computer Science (MaCS) with minors in Geography and Spanish. Sabrina can provide assistance with Python, R, SQL, project management, advanced statistical analysis in research settings, and more. To schedule an appointment with Sabrina or another consultant, visit our page here.