Did #Data_Visualization Erase the Woman from Women’s Work?
▻https://nightingaledvs.com/did-data-visualization-erase-the-woman-from-womens-work
As the world changed over the past two years, more and more of my friends took to handcrafts like quilting and knitting as a counterbalance..
]]>White Supremacy in Data - Ayodele Odubela
▻https://www.youtube.com/watch?v=ZOk0kfmHVJg
Che cos’è il “femminismo dei dati” e perché Bologna è una città apripista
►https://www.editorialedomani.it/politica/italia/che-cose-il-femminismo-dei-dati-e-perche-bologna-e-una-citta-apripi
Che cos’è il “femminismo dei dati” e perché Bologna è una città apripista
Bologna pubblicherà dati di genere e adotterà indicatori di impatto di genere fin dalla programmazione di attività e spesa. Altre città seguiranno l’esempio per portare in Italia il «data feminism» che considera i dati come dispositivo di potere dai quali quindi partire per ridurre le diseguaglianze
]]>Data Feminism
▻https://data-feminism.mitpress.mit.edu
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask : Data science by whom ? Data science for whom ? Data science with whose interests in mind ? The (...)
#algorithme #féminisme #racisme #technologisme #sexisme #BigData
]]>Is bad data killing women?
▻https://www.bbc.co.uk/sounds/play/w3csynkn
The impact of leaving women’s bodies out of research ranges from phones that are too big for female hands, to women being more likely to die if they’re in a car accident. Kim Chakenetsa talks to Caroline Criado Perez and Lauren Klein, two women investigating the data gender gap and how to resolve it. Source: BBC Sounds
]]>Invisible Women by Caroline Criado Perez – a world designed for men | Books | The Guardian
▻https://www.theguardian.com/books/2019/feb/28/invisible-women-by-caroline-criado-perez-review
The problem with feminism is that it’s just too familiar. The attention of a jaded public and neophiliac media may have been aroused by #MeToo, with its connotations of youth, sex and celebrity, but for the most part it has drifted recently towards other forms of prejudice, such as transphobia. Unfortunately for women, though, the hoary old problems of discrimination, violence and unpaid labour are still very much with us. We mistake our fatigue about feminism for the exhaustion of patriarchy. A recent large survey revealed that more than two thirds of men in Britain believe that women now enjoy equal opportunities. When the writer and activist Caroline Criado Perez campaigned to have a female historical figure on the back of sterling banknotes, one man responded: “But women are everywhere now!”
]]>What We Are Doing – Our Data Bodies
▻https://www.odbproject.org/about/what-we-are-doing
Based in marginalized neighborhoods in Charlotte, North Carolina, Detroit, Michigan, and Los Angeles, California, we are:
Looking at digital data collection and our human rights;
Helping local communities, community organizations, and social support networks;
Growing a national conversation on safety, privacy, and data protection needs of marginalized communities; and,
Showing how different data systems impact re-entry, fair housing, public assistance, and community development.
]]>En #France, le décompte des cas de #cancer n’est effectué que pour 22 % de la population
►https://www.lemonde.fr/sciences/article/2019/01/22/cancers-aucune-donnee-pour-78-de-la-population-francaise_5412764_1650684.htm
Qu’importe la vague de registres nationaux qui déferle sur l’#Europe, la France, ce territoire présentant l’un des taux de cancers les plus forts du monde, une #agriculture intensive sur 30 % de sa surface et quelque 500 000 sites industriels distincts, la France donc serait pour Philippe-Jean Bousquet « à la pointe » du suivi épidémiologique.
]]>#Data_for_Black_Lives. Data as protest. Data as accountability. Data as collective action.
Data for Black Lives is a group of activists, organizers, and mathematicians committed to the mission of using data science to create concrete and measurable change in the lives of Black people.
Since the advent of computing, #big_data and algorithms have penetrated virtually every aspect of our social and economic lives. These new data systems have tremendous potential to empower communities of color. Tools like statistical modeling, data visualization, and crowd-sourcing, in the right hands, are powerful instruments for fighting bias, building progressive movements, and promoting civic engagement.
But history tells a different story, one in which data is too often wielded as an instrument of oppression, reinforcing inequality and perpetuating injustice. Redlining was a data-driven enterprise that resulted in the systematic exclusion of Black communities from key financial services. More recent trends like predictive policing, risk-based sentencing, and predatory lending are troubling variations on the same theme. Today, discrimination is a high-tech enterprise.
Data for Black Lives seeks to mobilize scientists around racial justice issues. At our conference in November, we will convene over two hundred data scientists, computer programmers, racial justice activists, and elected officials to discuss the role that data can and should play in Black communities. Join us January 2019 at MIT for our second annual conference
▻http://d4bl.org
#données #résistance #Noirs
ping @fil @simplicissimus @reka
How to think differently about doing good as a creative person
▻https://thecreativeindependent.com/guides/how-to-think-differently-about-doing-good-as-a-creative-pers
A guide to avoiding “creative savior complex” when working on social impact projects, written by Omayeli Arenyeka and illustrated by Neta Bomani.
Intersectionality, illustrated. | Ententa’s Magic
▻https://ententasmagic.wordpress.com/2013/04/14/intersectionality-illustrated
#intersectionnalité #cartographie #visualisation #data_feminism
Cartographies des marges : intersectionnalité, politique de l’identité et violences contre les femmes de couleur | Cairn.info
►https://www.cairn.info/revue-cahiers-du-genre-2005-2-page-51.htm
Kimberlé Williams Crenshaw et Oristelle Bonis
Dans Cahiers du Genre 2005/2 (n° 39)
]]>Les vidéos de la conférence #Information+ 2018 sont en ligne
>> si vous voulez voir et écouter Sandra Rendgen (sur Minard), Sol Kawage (sur al couleur), Jessica Bellamy (sur l’utilisation de la visualisation de données pour le peuple), Fernanda Viégas (sur la visualisation du #machine_learning et de ses biais), Valentina D’Efilippo (sur les cartes du monde tracées de tête), Nadieh Bremer (sur le projet “Bussed Out”), ou encore Catherine D’Ignazio (#data_feminism) … et bien d’autres…
]]>Gender, Race and Power – AI Now Institute
▻https://medium.com/@AINowInstitute/gender-race-and-power-5da81dc14b1b
Over the past year, the AI Now Institute has been examining many of these political and historical intersections through our multi-year research program focused on gender, race, and power in AI. We will shortly publish a report and an academic paper with the first phase of research findings. In light of recent events, we wanted to provide a preview of some of our work as a contribution to the emerging movement and the discussion around it.
(...)
some of the things we’ve been reading of late:
– Sara Ahmed, On Being Included: Racism and Diversity in Institutional Life.
– Barriers to Equality in Academia: Women in Computer Science at MIT.
– Joy Buolamwini, Amazon’s Symptoms of FML — Failed Machine Learning — Echo the Gender Pay Gap and Policing Concerns.
– Catherine D’Ignazio and Lauren Klein, Data Feminism.
– Mar Hicks, How to Kill Your Tech Industry.
– Os Keyes, The Misgendering Machines: Trans/HCI Implications of Automatic Gender Recognition.
– Susan Leavy, Gender Bias in Artificial Intelligence: The Need for Diversity and Gender Theory in Machine Learning.
– Shaka McGlotten, Black Data, in No Tea No Shade: New Writings in Black Queer Studies.
– Vidisha Mishra and Madhulika Srikumar, Predatory Data: Gender Bias in Artificial Intelligence, in Digital Debates — CyFy Journal 2017.
– Joy Rankin, Tech-Bro Culture Was Written in the Code.
– The Invisible Worker #1: The Platform Worker.
(cf. l’article pour les liens)
]]>Pour plus d’un introduction sur la construction de la masculinité il faut écouter Les couilles sur la table : ▻https://soundcloud.com/lescouilles-podcast/des-villes-viriles #masculinité #virilité #genre #féminisme
]]> Numbered Lives, by Jacqueline Wernimont
Life and Death in Quantum Media
▻https://mitpress.mit.edu/books/numbered-lives
À paraître fin décembre, un autre livre sur le #data_feminism
A feminist media history of quantification, uncovering the stories behind the tools and technologies we use to count, measure, and weigh our lives and realities.
]]>Les enfants « sans bras » du Morbihan sont plus nombreux que les seuls recensés à Guidel
▻https://www.francebleu.fr/infos/faits-divers-justice/les-enfants-sans-bras-du-morbihan-sont-plus-nombreux-que-les-seuls-recens
« On explique comment à nos enfants ? » lance un père de famille lors de la réunion publique qui a suivi, alors qu’Aurélie Bingler témoigne au micro d’Hélène Chevallier. Elle habite à Calan à une vingtaine de kilomètres de Guidel. Sa fille Lola, née en novembre 2011, n’a pas de main droite. Elle n’a pas été prise en compte dans les cas de Guidel. _"_On a été complètement oubliés, on ne nous a jamais posé de questions, on ne s’occupe pas de nous", estime Aurélie. « On était là pour expliquer qu’il y a d’autres cas aux alentours, et pour nous, rien. Je pense que ça peut être la même chose, c’est dans les mêmes années de naissance, on vit tous dans le milieu rural : ça fait beaucoup de coïncidences dans un petit périmètre. »
]]>Data Feminism, by Catherine D’Ignazio and Lauren Klein (Book preview — call for comments)
▻https://bookbook.pubpub.org/data-feminism
Welcome to the community review site for Data Feminism. Thank you for your generosity and time in choosing to read and comment on this manuscript draft. The review period for this draft will close on January 7, 2019, although the ability to leave comments will still be available after that point.
#data_feminism le livre !
cf. ►https://visionscarto.net/visualisation-donnees-feministe pour une intro rapide