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Improving Representation of Women's History Through Digital Curation
1. Effie Kapsalis, Smithsonian @digitaleffie
Imagine the Future of Righting Our
Wrongs
IGNITE MCN
NOVEMBER 5, 2019
2. “When you’re invisible,
people assume you’ve done
nothing.”
Edith P. Mayo, curator emerita, Smithsonian's National Museum of American
History
MCN 201902
3. Whose history is this?
MCN 20193
Where are the Women? A Report on the Status of Women
in the U.S. Social Studies Standards
http://bit.ly/349OmrL
4. MCN 201904
Where are the Women? A Report on the Status of Women
in the U.S. Social Studies Standards
http://bit.ly/349OmrL
5. MCN 20195
18% of Wikipedia bios are
about women*
*It took Wiki Women in Red 5 years working internationally to
increase this number from 15.53% to 18.1% in September 2019.
12. MCN 2019012
African American advertising
The ”original Lois Lane,” founder of the Black
Fashion Museum, 1979. Deemed “not notable.”
13. MCN 2019013
CrowdsourcingDigital Curators Machine
Learning
New Digital Resources on American Women’s History
Smithsonian American Women’s History Initiative
Collections as Data
14. Digital
Curators
Surface “hidden figures” to
create structured data and
trusted digital resources.
MCN 201914
Caroline Jones
Spearheaded
advertising
campaigns to include
diverse populations
and changed the way
Americans thought
about popular brands.
17. Visualizing the landscape of
digital data with topic modeling
MCN 201917
"topic":["Flowers","Equipment","Needlework","Textile
Working","Trees","Women","Sewing","Architecture","Nature","Ecology","Porch","Gardens”]
"Plants","Portraits”]
"topic”:["Women","Society and social change","Portraits","Hair
Accessory","Landscapes","Necklace","Costume","Socialite","Jewelry","Pearl”]
"topic”:["Women","Big band music","Jazz","Musicians","Bands (Music)”]
:"topic”:["Dance","Figure group","Adobe","Rites and
ceremonies","Women","Domestic","Architecture","Landscapes”]
18. MCN 201918
Crowdsourcing
Invite the “crowd” in to
surface stories, improve
data, and share results.
Sandra Cisneros
First Mexican-
American writer to
have her work
published by a
mainstream American
publisher.
21. THANKS!
Effie Kapsalis, Senior Digital Program
Officer Smithsonian American Women’s
History InitiativeIGNITE MCN
NOVEMBER 5, 2019
Editor's Notes
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.
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
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
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
Look inside.
Where is the context? The stories?
Barrier for entry is too high
WE CAN DO BETTER
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
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?
With the majority of staff blogging, we start to create context w/ blog posts and WISW
Secondary sources
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.”
After an edit-a-thon in 2012, she averages 1000 views/month on Wikipedia
Have we taken this bio back?
I CAN DO BETTER
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
We gotta do it at scale
As a National Museum complex, it’s on Smithsonian to test out
Curators to comb collections for names and stories
Instead of exhibits, structured data + digital resources
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
Can machine learning help w/ gender representation when tools have biases.
Dunno
But it can help analyze patterns & improve things at scale
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
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
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?
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.”