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Editor's Notes

• #3: Representation matters People need to see themselves in history For cultural orgs, it’s a matter of relevance. Get your phones ready for the last slide.
• #4: Revise standard K-12 American history timeline As long as history follows the traditional timeline, the experiences of women and diverse U.S. populations are marginalized WE CAN DO BETTER
• #5: The barriers to entry into K12 history curriculum are high. Racial distribution of the 178 women 63% White, Zero Asian American women? disability rights, Native American rights, LGBTQ, or migrant labor movements are way underrepresented WE CAN DO BETTER
• #6: The biases online reflect our culture Took 5 years for international Wiki women in red project to improve representation by just under 3% Same biases in our collections. A giant ingest of Japanese footballers can bring this number back down. WE CAN DO BETTER
• #7: Look inside. Where is the context? The stories? Barrier for entry is too high WE CAN DO BETTER
• #8: Google does it. Books, context, images. Thank you Wikipedia. Why don’t we go the way of Tate and add Wikipedia to our websites? WE CAN DO BETTER
• #9: Digital trail of one woman in Smithsonian Roxie Collie Laybourne was single line in finding aid. Anyone able to tell why she’s important? A plan took off in 1960 from Boston Logon’s airport plane crashed 6 seconds later and 62 people died. Sent feathers to Smithsonian?
• #10: With the majority of staff blogging, we start to create context w/ blog posts and WISW Secondary sources
• #11: Started new field of science and helped solve criminal cases. Taught taxidermy to city kids. “Do your work and keep your mouth shut, and they will respect you, man or woman. And that’s why I got along as well as I did in a man’s world.”
• #12: After an edit-a-thon in 2012, she averages 1000 views/month on Wikipedia Have we taken this bio back? I CAN DO BETTER
• #13: Wikipedia has problems. A wiki newbie wrote this article Marked for take down Women and diverse populations have less secondary souces Hey, WE CAN DO BETTER
• #14: We gotta do it at scale As a National Museum complex, it’s on Smithsonian to test out
• #15: Curators to comb collections for names and stories Instead of exhibits, structured data + digital resources
• #16: AWHI Digital Curator, History of Women in Science Building on staff crowd-sourced list Named in honor of Dr. Vicki Funk Reached out to her network for female firsts and seconds, even if didn’t have scientist title 125 names in structured data Now over 400
• #17: Can machine learning help w/ gender representation when tools have biases. Dunno But it can help analyze patterns & improve things at scale
• #18: Smithsonian Data Science Lab Collection recordsonline , only 100,000 of 14 million are tagged with “women” in the topic fields. Topic fields for records tagged with “women.” Natural Language Processing and Topic Modeling to analyze what topics more likely to be associated with women than others? Information for curators
• #19: Seen crowds surface women They share our resources more than we ever can Let’s diversify what they do and involve the world – building middle school curriculum for Smithsonian TC to transcribe girl history
• #20: I’m sorry but our vocabularies could use a major update. We don’t come close to the nuances of gender. WE CAN DO BETTER Phones ready?
• #21: Snap this and add to our worklists with your resources These women have been sidelined and silenced long enough. Taylor Swift “I’m so sick of running as fast as I can wondering if I’d get there quicker if I was a man.”