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#DH recommender system:

If you liked what I had to say about #DataFeminism (zfdg.de/wp-2026), you may also like what I have to say about the role of data work in computational history:
doi.org/10.3390/hist...

#DigitalHumanities #ComputationalHumanities #history #Skystorians

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Data Feminism Review: Why Data Is Never Neutral A thought-provoking review of Data Feminism exploring how data bias, power structures, and intersectional feminism shape the way statistics are collected, interpreted, and trusted.

I just finished Data Feminism by Catherine D’Ignazio and Lauren F. Klein and WOW. This book completely reframes how we think about data, bias, and power. If you’ve ever trusted a statistic without questioning it, this one’s for you. Smart, eye-opening, and necessary reading. #DataFeminism

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Original post on hcommons.social

New paper out: "*Beyond* Data Feminism" ( @sarahalang and Elena Suarez Cronauer, my emphasis) in the hopes of making more people realize that it potentially applies to them. Too many (mostly male presumably) researchers assume it does not to them even when they are ready to "forward it to my […]

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#radicalsoftware #machinevision #neuralarchive #neuralmag #womenintechnology#mediaarthistory #digitalpioneers #digitalheritage #retrofuture #cyberfeminism #technofeminism #womenintech #feministfuture #datafeminism #femtech #artandtechnology #arttech #artandtech #audiovisualart

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Beyond Data Feminism. Towards Ethical Data Work in the (Digital) Humanities | ZfdG - Zeitschrift für digitale Geisteswissenschaften The working paper discusses the toolkit Catherine D'Ignazio's and Lauren F. Klein's Data Feminism Manifesto provides with its feminist principles and how to address bias and ethics in the Digital Huma...

#DataFeminism appeared in 2020.
How come it’s still not established in #DigitalHumanities?
Interest seems to have died down 😕

We provide an overview of its principles tailored to #DH in our working paper ⬇️
zfdg.de/wp_2026

PS: Take part in the open public review process!
#DHd2026

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Die Umfrage zu Diskriminierung in Deutschland. Mach mit. Drei gute Gründe, bei der großen Umfrage zu Diskriminierung mitzumachen: 1. Deine Stimme hilft, Diskriminierung sichtbar zu machen.

diskriminierung-umfrage.de
Wie es in D'Ignazio's / Klein's #datafeminism so schon heißt: "What Gets Counted Counts"

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Photo by Steve Johnson on Unsplash: https://unsplash.com/fr/photos/une-enseigne-au-neon-avec-des-lumieres-rouges-CVZslmK9DVQ?utm_source=unsplash&utm_medium=referral&utm_content=creditShareLink

Photo by Steve Johnson on Unsplash: https://unsplash.com/fr/photos/une-enseigne-au-neon-avec-des-lumieres-rouges-CVZslmK9DVQ?utm_source=unsplash&utm_medium=referral&utm_content=creditShareLink

[New op-ed] Who holds the power? Rethinking health data governance through a Data Feminism lens, By Anamika Kundu of the @eui-eu.bsky.social policyreview.info/articles/new... #datafeminism #EHDS #Regulation

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📯 #DigitalHistoryOFK Sarah Lang presents “Tackling Data Gaps through Digital Humanities Practice” -- on documentation, transparency & auditing to foster inclusive, ethical DH

📅 10 Dec., 4-6 pm (CET), online
ℹ️ Abstract: dhistory.hypotheses....

#DH #DataFeminism #DecolonizingDH #4memory

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Slides for my #OAWeek talk @uottawabiblio.bsky.social @uottawa.ca today:
“Who owns our knowledge? A data feminist perspective on closed research infrastructure”
doi.org/10.5281/zeno... #ScholCommLab #openaccess #AcademicSky #datafeminism

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Ein schwarz-weiß Bild auf dem rechts und links Finger zu sehen sind, die einen Filmstreifen waagrecht halten. Auf dem Filmstreifen sind vier verschiedene Fotos und Grafiken integriert: Eine Liste mit Zahlenreihen, ein abstraktes Bild, das an einen Blitz erinnert, Server in einem Rechenzentrum, eine historische Filmkamera und eine Diskette. Credits: Jonas Poehlmann

Ein schwarz-weiß Bild auf dem rechts und links Finger zu sehen sind, die einen Filmstreifen waagrecht halten. Auf dem Filmstreifen sind vier verschiedene Fotos und Grafiken integriert: Eine Liste mit Zahlenreihen, ein abstraktes Bild, das an einen Blitz erinnert, Server in einem Rechenzentrum, eine historische Filmkamera und eine Diskette. Credits: Jonas Poehlmann

We’ve published our interview series on data practices, provenance, and categorizations in film history!✨

The series consists of seven interviews with data editors, scholars, software developers, and project managers from our project partners Women Film Pioneers […]

[Original post on fedihum.org]

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Am Mittwoch lohnt das frühe Aufstehen für den #histag25! 8:30 Hörsaal 4 moderiere ich die Sektion “#Daten und #Macht. Politiken der #Digitalisierung und ihre Auswirkungen auf die historische Forschung” - mit Kerstin von der Krone, Elena Suárez-Cronauer und Sabine […]

[Original post on fedihum.org]

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Das Programm der GfM2025 in Paderborn am Donnerstag, 18.09.2025 in der Session von 14:00-15:30 Uhr. DAVIF PI Dr. Sarah-Mai Dang ist mit dem Vortrag "Von Big Data zu Big Gaps. Eine machtkritische Perspektive auf Leerstellen in Datensammlungen" im Panel "“(Daten-)Sammlungs-Politiken”" vertreten.

Das Programm der GfM2025 in Paderborn am Donnerstag, 18.09.2025 in der Session von 14:00-15:30 Uhr. DAVIF PI Dr. Sarah-Mai Dang ist mit dem Vortrag "Von Big Data zu Big Gaps. Eine machtkritische Perspektive auf Leerstellen in Datensammlungen" im Panel "“(Daten-)Sammlungs-Politiken”" vertreten.

Nächste Woche findet vom 16.-19. September die #GfM2025 in Paderborn statt!

Wir freuen uns schon sehr auf das spannende Panel “(Daten-)Sammlungs-Politiken” am Donnerstag, 18. September mit einem Vortrag von #DAVIF PI @SarahMaiDang, in dem sie anhand von […]

[Original post on fedihum.org]

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Three wheel charts have text above that say ‘make data feminist’ in purple, blue and orange text.

Three wheel charts have text above that say ‘make data feminist’ in purple, blue and orange text.

Make Data Feminist

Too often, the lives of women and gender-diverse people are invisible in #data.

Without a feminist approach, women and gender-diverse people will continue to be overlooked and underrepresented with real-world impacts.

#DataFeminism #GenderEquality

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A colourful bar graph with purple, orange and blue bars sits above text that reads ‘data is not neutral’.

A colourful bar graph with purple, orange and blue bars sits above text that reads ‘data is not neutral’.

Every dataset reflects choices: what’s measured, what’s ignored, who’s included, and who’s left out.

Data can reinforce the very inequalities we’re trying to reduce. This is why a #Feminist and #Inclusive approach is critical.

#DataBias #DataFeminism #InclusiveData #DataEthics

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#womenintechnology #feministfuture #datafeminism #femtech #postphotography #performanceart #digitalperformance #artreview #neuralmag #neuralmagazine

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Screenshot der Startseite für die GfM2025, die vom 16.-19.09.25 an der Universität Paderborn stattfinden wird.

Screenshot der Startseite für die GfM2025, die vom 16.-19.09.25 an der Universität Paderborn stattfinden wird.

Das Programm der #GfM2025 wurde veröffentlicht✨

#DAVIF PI @SarahMaiDang ist mit dem Vortrag “Von Big Data zu Big Gaps. Eine machtkritische Perspektive auf Leerstellen in Datensammlungen” auf der Jahrestagung der Gesellschaft für Medienwissenschaft an der […]

[Original post on fedihum.org]

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PremisWomenDataviz — Visualization for Transparency Foundation Els Premis Women in DataViz 2025 neixen per reconèixer, impulsar i visibilitzar les dones que treballen la visualització de dades, un àmbit clau dins del sector tecnològic i comunicatiu. Aquest projecte vol contribuir a trencar la bretxa de gènere i a generar nous referents femenins en el món del dataviz.

👩‍💻 Has creat visualitzacions de dades amb impacte?
El Premi Women in DataViz reconeix la trajectòria de dones que transformen dades en coneixement 📊
🏆 2.000 € per visibilitzar el teu talent!
📌 Informa’t: fundaciovit.org/premiswomendataviz
#PremisWomenDataViz #DataFeminism

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PremisWomenDataviz — Visualization for Transparency Foundation Els Premis Women in DataViz 2025 neixen per reconèixer, impulsar i visibilitzar les dones que treballen la visualització de dades, un àmbit clau dins del sector tecnològic i comunicatiu. Aquest projecte vol contribuir a trencar la bretxa de gènere i a generar nous referents femenins en el món del dataviz.

🎓 Tens entre 18 i 30 anys i ha treballat en la visualització de dades?
El Premi Talent Jove dels #PremisWomenDataViz et busca!
500 € i reconeixement per fer visible el teu talent 📊💪
📌 Participa-hi: fundaciovit.org/premiswomendataviz
#VitFoundation #Dataviz #DataFeminism #JovesEnTech

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PremisWomenDataviz — Visualization for Transparency Foundation Els Premis Women in DataViz 2025 neixen per reconèixer, impulsar i visibilitzar les dones que treballen la visualització de dades, un àmbit clau dins del sector tecnològic i comunicatiu. Aquest projecte vol contribuir a trencar la bretxa de gènere i a generar nous referents femenins en el món del dataviz.

🎉 Ja estan oberts els Premis Women in DataViz!
💻 Vols visibilitzar el teu talent amb dades? Presenta’t i comparteix el teu projecte!
🏆 Fins a 2.000 € en premis.
ℹ️ Més info: www.fundaciovit.org/premiswomend...
#VitFoundation #Dataviz #PremisWomenDataViz #DataFeminism

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🎉 Hem tancat la 1a setmana del #30DaysWomenDatavizChallenge !

Introducció superada ✅ i ara... primer repte del cap de setmana!
La setmana vinent entrem de ple en codificació visual i creació de gràfics 📊💻
#Dataviz #VitFoundation #DataFeminism

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🗓️ Ja portem 2 dies de #30DaysWomenDatavizChallenge !
Estem fent els primers passos amb HTML, JavaScript i Observable per entendre com funcionen les visualitzacions web 📊💻
Grans iniciatives comencen amb bones bases!
#Dataviz #VitFoundation #DataFeminism

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🚨 Ja no queda res! Aquest dilluns arrenca la sessió informativa del #30DaysWomenDatavizChallenge 🎉
Ens trobem amb les participants per obrir un mes ple de dades, visualitzacions i empoderament digital 💪📊
#Dataviz #ViTFoundation #DataFeminism #DatavizCatalunya

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We wish @uofnorthdakota.bsky.social Professor & @ctgualbany.bsky.social Visiting Scholar @mylifeofthemind.bsky.social a speedy & safe trip home! Thank you for your contributions to our #DigitalGovernment research & teaching us about #DataFeminism #CookieSalad & other #NorthDakota delicacies!!

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Panel B7 | Gaps, Possibilities, Vampirism: Feminist Interventions in Film and Media Historiographical Narratives

Chair | Thomas Scherer (European University Viadrina Frankfurt (Oder))

Room G.1.5

sarah-Mai Dang (Philipps-Universitat Marburg) | Missing Data. Exploring Algorithmic Bias and Power in Film and Media Historical Research

Elisa Linseisen (HfBK Hamburg) & Lisa Gotto (University of Vienna) | How to not become a vampire. Approaches to Unfinished Films and Histories

Laura Katharina Miicke (JGU Mainz) | Too Fragmented to Pay Attention. Gaps vs. Stereotypes in Early Women Film Spectatorship

Josephine Diecke (University of Zzurich) | Reconstructing and Reimagining ‘Someone Else’s Spectral Images: The Case of Chetna Vora

Panel B7 | Gaps, Possibilities, Vampirism: Feminist Interventions in Film and Media Historiographical Narratives Chair | Thomas Scherer (European University Viadrina Frankfurt (Oder)) Room G.1.5 sarah-Mai Dang (Philipps-Universitat Marburg) | Missing Data. Exploring Algorithmic Bias and Power in Film and Media Historical Research Elisa Linseisen (HfBK Hamburg) & Lisa Gotto (University of Vienna) | How to not become a vampire. Approaches to Unfinished Films and Histories Laura Katharina Miicke (JGU Mainz) | Too Fragmented to Pay Attention. Gaps vs. Stereotypes in Early Women Film Spectatorship Josephine Diecke (University of Zzurich) | Reconstructing and Reimagining ‘Someone Else’s Spectral Images: The Case of Chetna Vora

Panel D14 | Uncovering Amateur Media Histories: Digital Approaches to Archival Collections

Supported by | Amateur Media Cultures

Chair | Alexandra Schneider (Johannes Gutenberg University Mainz)

Room B.1.2

Tim van der Heijlden (Open University of the Netherlands) & Lauren Tilton (University of Richmond) | Exploring Amateur Media Collections at Scale Through Distant Viewing

Andrea Mariani (University of Udine) | Amateur Film as Lossy Media: Overscanning and the Digital Fac-simile

Charles Tepperman (University of Calgary) | Mapping a Global Vernacular: Data (Trouble) and Amateur Film History Between the Wars

Respondent | Sarah-Mai Dang (Philipps-Universitat Marburg)

Panel D14 | Uncovering Amateur Media Histories: Digital Approaches to Archival Collections Supported by | Amateur Media Cultures Chair | Alexandra Schneider (Johannes Gutenberg University Mainz) Room B.1.2 Tim van der Heijlden (Open University of the Netherlands) & Lauren Tilton (University of Richmond) | Exploring Amateur Media Collections at Scale Through Distant Viewing Andrea Mariani (University of Udine) | Amateur Film as Lossy Media: Overscanning and the Digital Fac-simile Charles Tepperman (University of Calgary) | Mapping a Global Vernacular: Data (Trouble) and Amateur Film History Between the Wars Respondent | Sarah-Mai Dang (Philipps-Universitat Marburg)

So excited for the start of the #NECS2025 conference today in Lisbon!

Looking forward to the contributions by #DAVIF PI @SarahMaiDang who will discuss the effects of missing data on research in film and media studies (Thursday, 19 June) and respond to papers on […]

[Original post on fedihum.org]

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Banner of the NECS 2025 conference hosted by Lusófona University in Lisbon from 18-21 June 2025. The theme of the conference is Discovering/Uncovering. Navigating the Complexities of Screen Media.

Banner of the NECS 2025 conference hosted by Lusófona University in Lisbon from 18-21 June 2025. The theme of the conference is Discovering/Uncovering. Navigating the Complexities of Screen Media.

The final program of #NECS2025 in Lisbon is now available with two contributions by #DAVIF PI @SarahMaiDang!

✨ On Thursday, 19 June at 11am she will give a paper on missing data, algorithmic bias and power in film and media studies (room G.1.5 - panel B7)

✨ On […]

[Original post on fedihum.org]

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The seven principles of data feminisms with a corresponding shape. The principles include: examine power, challenge power, elevate emotion and embodiment, rethink binaries and hierarchies, embrace pluralism, consider context, and make labour visible.

The seven principles of data feminisms with a corresponding shape. The principles include: examine power, challenge power, elevate emotion and embodiment, rethink binaries and hierarchies, embrace pluralism, consider context, and make labour visible.

#DataFeminism is a powerful lens on data rooted in intersectional feminism, reimagining how we collect, analyse & use data for justice.

Developed by Catherine D’Ignazio & Lauren F. Klein, it's a must-read for equality-driven changemakers.

🔗 data-feminism.mitpress.mit.edu

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Bianca Sedmak, Sarah-Mai Dang, Pauline Junginger, Kristina Rose und Natalie Filipiak sitzen an einem Restauranttisch neben einer belebten Straße und blicken in die Kamera.

Bianca Sedmak, Sarah-Mai Dang, Pauline Junginger, Kristina Rose und Natalie Filipiak sitzen an einem Restauranttisch neben einer belebten Straße und blicken in die Kamera.

Wie beeinflussen institutionelle Datenpraktiken unser Verständnis von Filmgeschichte?

Diese und andere Fragen haben wir heute mit Bianca Sedmak, Kristina Rose und Natalie Filipiak von unserem Projektpartner DFF - Deutsches Filminstitut & Filmmuseum diskutiert […]

[Original post on fedihum.org]

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Catherine D'Ignazio 
Emilie Jäger Lecture

Catherine D'Ignazio Emilie Jäger Lecture

Congratulations to @kanarinka.bsky.social from @mit.edu who has been awarded the Emilie Jäger Prize for her research in the field of #DataFeminism. On May 14, she will give a talk entitled "Digital In/Justice and Data Feminism" 👉 digital-in-justice.unibe.ch/index_eng.html

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Catherine D'Ignazio 
Emilie Jäger Lecture

Catherine D'Ignazio Emilie Jäger Lecture

Herzliche Gratulation an @kanarinka.bsky.social vom @mit.edu, die für ihre Forschung im Bereich #DataFeminism mit dem Emilie Jäger Preis ausgezeichnet wird. Am 14. Mai hält sie einen Vortrag mit dem Titel «Digital In/Justice and Data Feminism». 👉 digital-in-justice.unibe.ch/index_eng.html

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6. The Numbers Don’t Speak for Themselves Principle #6 of Data Feminism is to Consider Context. Data feminism asserts that data are not neutral or objective. They are the products of unequal social relations, and this context is essential for...

#BDCAM25 Roundtable "Expanding Computational Research of #BornDigital Collections"
TIL from Valérie Schafer about #DataFeminism (data are not neutral or objective) & "Big Dick Data" data-feminism.mitpress.mit.edu/pub/czq9dfs5...

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