Workshop: Machine Learning and Artificial Intelligence, July

Workshop: Machine Learning and Artificial Intelligence, July

July 2019
Mary Gates Hall Room TBD
Time TBD (based upon Doodle Poll)

Are you interested in learning more about Artificial Intelligence and Machine Learning but DON’T have a background in statistics, machine learning, data science? Those with no experience in these topics are welcome! You should consider taking part in this workshop!

Please fill out this Doodle Poll for availability

Call for Proposals: ACRL WA-OR Joint Fall Conference, Aug 9

Call for Proposals: ACRL WA-OR Joint Fall Conference

Deadline for Submissions: August 9, 2019

October 24-25, 2019
Pack Forest Conference Center, Eatonville, WA

Whiteness and Racism in Academic Libraries: Dismantling Structures of Oppression

The Fall 2019 conference takes place amongst intensified organizing of white nationalists on college campuses, continued brutality against black and brown communities, policies that restrict immigration and border movement, and policing of body rights. In libraries we are making strategic claims towards equity, diversity and inclusion, yet our profession remains centered on cultures of white supremacy. Continue reading

Community: Hack Library School Blog – Navigating Workplace Culture [Series]: The Search

Navigating Workplace Culture [Series]: The Search

Kelli’s third Hack Library School (HLS) post is now up! It is part of a series that focuses on navigating the workplace culture within the LIS field. This particular article provides  useful advice on how to search for an internship. All of the suggestions, whether it be making a list of your own personal values (to see if they align), researching the organization online or through your social network, or considering the geographic and cultural environment (if the internship is not where you live) are also very applicable to a job search.

Fellowship: Fall Data Science Fellowship Opportunity, July 8

Fellowship: Fall Data Science Fellowship Opportunity

Deadline: Early applications due July 8

Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship. Continue reading