Library Hours
Mon-Thur 8 a.m. -- Midnight
Friday 8 a.m. -- 6 p.m.
Saturday 10 a.m. -- 6 p.m.
Sunday 10 a.m. -- Midnight
Reference Hours
Mon-Wed 10 a.m. -- 5 p.m.
6 p.m. -- 9 p.m.
Thursday 10 a.m. -- 5 p.m.
Friday 1 p.m. -- 4 p.m
Saturday (Closed)
Sunday (Closed)
Archives Hours
Contact: archives@willamette.edu for an appointment.
Note: The library is open to the general public Monday-Friday from 8 a.m. to 6 p.m. and on Saturday from 10 a.m. to 6 p.m.
These will help guide you to find other types of information.
Book Reviews Newspaper Articles
Books Speeches
Dictionaries Statistics
Government Info Videos/DVDs
Journal Articles
Librarians are here to help with your research!
You can set up an individual research consultation with me to:
- Determine the best places to begin your research.
- Develop effective search strategies.
- Locate & get the info you need
- Help request materials from other libraries
- Find additional info from bibliographies and reference lists
- Judge the quality & reliability of information
- Use information ethically (e.g. plagiarism and copyright)
- Cite information correctly (e.g. APA style)
- Show and use citation tools
- Determine the differences between literature types
- Diagnose whether something is peer-reviewed
Course taught by: Haiyan Cheng
Colloquium Associate: Tyler Bontrager
Campus Partner: Jessica Cardinal-Lanier
Social media, mobile computing, self-driving cars, virtual reality, chatbots...enormous amounts of data are generated around us every second. International Data Corporation predicts that over 175 zettabyte (270 or 1021) of data will be created by 2025. Efficient use of data can help with business intelligence, improving public health, finding cures to diseases, and improving our quality of life. Misuse of data can threaten our privacy and reinforce biases.
In this class, we will address issues around data collection, management, analysis, and data-driven decision making. Students will practice asking good questions using given data, and finding data sources to answer them. Course materials include research articles, videos and books such as Algorithms of Oppression, The Book of Beautiful Questions and Automating inequality. Students will work on both individual and group projects.
Orcid: