#MorePerfectUnion
#US #SiliconValley #BrOligarch #SamAltman #OpenAI #ChatGPT #Ai #AiEthics #EthicalAi #AiBias #ResponsibleAi #BlackFedi #BlackInAi #BIPOCinAi #DataEquity
https://www.youtube.com/watch?v=qnOmUWd-OII


New data reveals a critical imbalance: most SDG 16 impact evaluations are clustered in moderately fragile states, leaving both the most fragile and the most stable nations under-examined.
We need globally inclusive, evidence-based investments in peace, justice, and accountability. If we truly want to “leave no one behind,” this begins with data equity.
🔗 #SDG16 #PeaceJusticeInstitutions #GlobalGovernance #FragilityIndex #PolicyForChange #InclusiveDevelopment #DataEquity #BrilieForChange
In September the U.S. Census Bureau plans to meet with disability community stakeholders to better understand challenges in data availability and access for their community.
https://www.census.gov/newsroom/press-releases/2024/disability-data-needs.html
#Disability #Data #DataScience #Survey #Methodology #Equity #DataEquity
Last Thursday, Bhramar Mukherjee received the Marvin Zelen Award from the Harvard Biostatistics Department.
I wrote up some notes on her amazing talk on #DataEquity in Health Research — mostly for myself to write down many of the amazing points she made!
https://ctesta.com/posts/2024-05-12-Bhramar-Mukherjee-Marvin-Zellen-Award.html
Lots in there on the state of data equity in biostatistics, genomics, environmental justice, and how to work towards those goals in academia. Hope you enjoy!
Do you care about making sure children are counted accurately in the next census? That their needs are represented in other surveys?
The Census Bureau is seeking nominations to the Census Scientific Advisory Committee (CSAC).
Submit nominations
to [email protected]
with subject line “2024 CSAC Nominations”
by Feb 2, 2024
#Data #Statistics #Demography #Sociology #Economics #Survey #Equity #DataEquity #Epidemiology #PublicHealth #Planning @demography @sociology
I'm going to make a "how NOT to collect and present gender data in public health" presentation that's just 100 slides of examples of "Male, Female, Transgender" and "Male, Female, Transgender Man, Transgender Woman, Other" with giant red Xs through them
How fair is #FAIR?
Is it fair that institutions from poor countries pay as much for #PID|s as institutions from rich countries?
Is it fair that #accessibility only means #accessible online?
And there's more to discuss. Watch "FAIR enough? Building DH Resources in an Unequal World" by @rojascastroa ⬇️
#DataFeminism #DataEquity #FAIRdata #OpenScience #DigitalDivide #GlobalNorth #GlobalSouth
The world that Digital Humanities practitioners inhabit is a place defined by uneven distribution of wealth and systemic oppressions. As Boaventura de Sousa Santos argues in his recent book La cruel pedagogía del virus (The Cruel Pedagogy of the Virus) (Sousa Santos, 2020), the COVID-19 has exacerbated the inequalities in the Global North and in the Global South; but the unmask of inequalities is not a new topic in the field of Digital Humanities. For the last decade many scholars have been defending a critical approach to open access, computational tools, algorithms and cultural datasets (Galina, 2014; Fiormonte, Numerico and Tomasi, 2015; Rio Grande, 2018; Earhardt, 2018; Risam, 2019; Noble, 2019). In addition to the work of individuals, group initiatives like Global Outlook::DH have also enabled debates on social justice, diversity and inclusivity. In this presentation I aim to establish a dialogue with previous interventions that critique the Digital Humanities as a universalist, not situated and scientific field whose epistemological frameworks, methods and tools can be applied anywhere, anytime and under all conditions. To do so I will examine, expand and question the FAIR Principles initiated by FORCE11 . These principles are four: Findability, Accessibility, Interoperability and Reusability. They implicitly suggest a moral idea of “fairness” or “justice” that should guide “data producers and publishers” to maximize the “added-value gained by contemporary, formal scholarly digital publishing” (Wilkinson et al., 2016). Although the FAIR Principles were originated in the context of e-science, they have already been adopted by library associations like LIBER and some DH scholars have also evaluated them (Dunning, Smaele and Böhmer, 2017) and used them as guiding principles for developing digital archives (Calamai and Frontini, 2018). Drawing on examples derived from the Programming Historian en español (PHes) and the Proyecto Humboldt Digital (ProHD) , I will argue that, while the FAIR Principles can guide how we build DH resources in the Global North, any attempt to apply them in the Global South (especially in Latin American countries) may replicate colonialist practices that ignore the digital divide and local needs and practices in favor of hegemonic standards (Priani Saisó, 2019). This caveat is especially relevant for cooperation projects that involve scholars, librarians, archivists and other professionals with different backgrounds, that are based in different countries, speak different languages and have different needs and motivations. In brief, building FAIR resources is a praiseworthy goal, but in order to produce an emancipatory knowledge, that (perhaps) will repair some inequalities, we should avoid cultural cloning and cognitive extractivism and instead sustain an ecology of knowledge.
The Global Conversations webcast is a rebrand from the Urban Equity Chats. For these webcasts, I have decided to add a co-host, Preeya Rateja. These webcasts, similar to the Urban Equity Chats, are designed to engage with and inform the community of equity practitioners on global current trends and issues. These are designed to engage with global practitioners who have addressed challenges working in global organizations from an equity lens. Please reach out if you are interested in becoming a guest of the webcasts.