estrid, to random German
@estrid@assemblag.es avatar

Steven Jackson, @stefan_laser_, @sister0 and I invite abstracts to the panel "Planetary Data Infrastructures" at the @stseasst and @4Sweb 2024 .

The panel explores expanded engagements with networked infrastructures, both concrete and speculative, that help foster more response-able, aesthetic, cooperative, and sustainable planetary relations.

Note! We invite conventional but also experimental formats: audiovisual performances, poetry - don't hold back!
https://nomadit.co.uk/conference/easst-4s2024/panel/14242

stefanlaser,
@stefanlaser@social.tchncs.de avatar

@estrid @stefan_laser_ @sister0 Yes, join our panel P193 in Amsterdam:

> With the concept “planetary data infrastructures”, the panel explores expanded engagements with networked infrastructures, both concrete and speculative, that help foster more response-able, aesthetic, cooperative, and sustainable planetary relations. We invite conventional and experimental formats.

@sts @ecologies

DataGeekB, to demography
@DataGeekB@mastodon.social avatar

Census Bureau experts recommend NOT using the Post Enumeration Survey (PES) to update the 2020 population estimates because "While the PES is helpful in identifying coverage issues at the national level, it is not able to identify them as accurately at lower levels of geography because of its design. The PES sample size was simply too small."

https://www.census.gov/newsroom/blogs/random-samplings/2023/12/recommendations-2020-pes-coverage-results-in-vintage-2023-pop-estimates.html

@demography @sociology

KidsData, to publichealth
@KidsData@sfba.social avatar

Looking back at your
childhood, before age 18 did you feel that no one in your family loved you or thought you were special?

This childhood adversity question was added to BRFSS survey in 2021.

In California 13% of respondents answered “yes."

Learn more: https://www.pacesconnection.com/fileSendAction/fcType/5/fcOid/532057831089994134/fodoid/532057831089994130/FINAL%20BRFSS%20Report_Oct.%202023.pdf

@medmastodon @publichealth

PopResearchCtrs, to demography
@PopResearchCtrs@sciences.social avatar

The National Couples' Health and Time Study (NCHAT) is the first fully powered, population-representative study of couples in America containing large samples of sexual, gender, and racial and ethnic diverse individuals.

Learn more about this new resource: https://pubmed.ncbi.nlm.nih.gov/37859760/

@demography @sociology

eric, to ethics
@eric@social.coop avatar

@military @ethics 🧵

I am starting a thread on killing at warfare:

eric,
@eric@social.coop avatar

"While casualty counting during modern conflicts is deficient due to organizational, political or strategic reasons, the international organizations responsible for collecting such data […] face difficulties to access the conflict scene, resulting in under-reported, unreliable or no-reported data."

A meta-analysis published in 2021: https://www.frontiersin.org/articles/10.3389/fpubh.2021.765261/full

JustCodeCulture, to histodons
@JustCodeCulture@mastodon.social avatar

Congratulations to CBI Sr. Research Fellow William Aspray who just published Understanding Information History: The Case of America in 1920 (Springer).

@histodons

https://link.springer.com/book/10.1007/978-3-031-44134-9#about-this-book

yo_bj, to random
@yo_bj@glammr.us avatar

"Big Publishing is clearly seeing nothing but dollar signs as apps like Hoopla gobble up identity-linked data on readers—and so it would be natural to put our hope in public libraries, which view patron privacy as a fundamental right essential to a functioning democracy." - https://www.fastcompany.com/90996547/e-books-are-fast-becoming-tools-of-corporate-surveillance

Bonus fun fact - OverDrive's reading history setting only hides the history. The data is still being collected - https://ldhconsultingservices.com/deception-by-design/

dbsalk,
@dbsalk@mastodon.social avatar

@demerara @yo_bj @scissortail I keep coming back to this quote from the "100 Things We've Lost to the Internet" by Pamela Paul: "The United States remains the sole developed country without some kind of federal consumer protection law or agency."

@bookstodon

bibliolater, to linguistics
@bibliolater@qoto.org avatar

"In applied linguistics generally and bilingualism research in particular, psychological variables remain a much under-investigated sub-category of individual differences compared with cognitive ones. To better understand the under-researched psychological effects of bilingualism, this study investigated well-being, a psychological construct, based on a big-data survey."

Wang, J., & Wei, R. (2023). Is bilingualism linked to well-being? Evidence from a big-data survey. Bilingualism: Language and Cognition, 1-11. doi: https://doi.org/10.1017/S1366728923000603 @linguistics @psychology

solderandchaos, to edutooters
@solderandchaos@mastodon.me.uk avatar

Do you consider yourself a data scientist of any variety? Maybe it makes up a bit of your job, maybe it’s all of it, but if you went to school in the UK and can spare quarter of an hour to reflect on a few things it would be hugely appreciated.

Link here: https://lborocmc.fra1.qualtrics.com/ife/form/SV_7PdY9nlUCvITTw2

#datascience #data
@edutooters @academicchatter

estelle, to random
@estelle@techhub.social avatar

The terrible human toll in Gaza has many causes.
A chilling investigation by +972 highlights efficiency:

  1. An engineer: “When a 3-year-old girl is killed in a home in Gaza, it’s because someone in the army decided it wasn’t a big deal for her to be killed.”

  2. An AI outputs "100 targets a day". Like a factory with murder delivery:

"According to the investigation, another reason for the large number of targets, and the extensive harm to civilian life in Gaza, is the widespread use of a system called “Habsora” (“The Gospel”), which is largely built on artificial intelligence and can “generate” targets almost automatically at a rate that far exceeds what was previously possible. This AI system, as described by a former intelligence officer, essentially facilitates a “mass assassination factory.”"

  1. "The third is “power targets,” which includes high-rises and residential towers in the heart of cities, and public buildings such as universities, banks, and government offices."

🧶

estelle,
@estelle@techhub.social avatar

Behind any aircraft that takes off for an attack, there are thousands of soldiers, men and women, who make the information accessible to the pilot. "They produce the targets and make the targets accessible. To set a target, it’s a process with lots of factors that need to be approved. The achievement, the collateral damage and the level of accuracy. For that, you have to interconnect intelligence, (weapon) fire, C4I [an integrated military communications system, including the interaction of troops, intelligence and communication equipment] and more," said Nati Cohen, currently a reservist in the Exercises Division of the C4I Division of the army.

Published in 2021 in a security mag: https://israeldefense.co.il/en/node/50155 @military

estelle,
@estelle@techhub.social avatar

"The unit is engaged in the same kind of AI work that the world’s biggest tech companies, like Google, Facebook and China’s Baidu are doing in a race to apply machine learning to such functions as self-driving cars, analysis of salespeople’s telephone pitches and cybersecurity — or to fight Israel’s next war more intelligently."

“I’ve always loved algorithms. I was already involved with them in high school and worked in the field. When I [was] drafted I wanted to combine the technology with a combat,” Maj. Sefi Cohen, 34, recalls.

The unit’s only female member left recently. so for the moment it’s an all-male team. Cohen says: “Everyone who’s here is the tops.”

"Tiny IDF Unit Is Brains Behind Israeli Army Artificial Intelligence", Haaretz, 2017: https://www.haaretz.com/israel-news/2017-08-15/ty-article/tiny-idf-unit-is-brains-behind-israeli-army-artificial-intelligence/0000017f-e35b-d7b2-a77f-e35fc8f40000

estelle,
@estelle@techhub.social avatar

Lt.-Col. Nurit Cohen Inger has overseen at the Israeli ’s Computer Service Directorate. She showed her enthusiasm on to JNS.org in 2017:

“The top level in this field of big data is to have a system that makes recommendations on what to do, based on the data. We are there.”

In theory, this could figure out where to direct strikes, to achieve maximum damage.

Inger said AI “can influence every step and small decision in a conflict, and the entire conflict itself.”

“For this system to work, it has to function at a very high level,” she added. “AI is a machine that has the intelligence characteristics of a person—in this case, by giving recommendations.”

Human commanders will still make the final decisions, Inger said, but they will receive “very precise and relevant recommendations. This is happening, and it will happen much more.”

https://www.jns.org/artificial-intelligence-shaping-the-idf-in-ways-never-imagined-2/ @dataGovernance @data @ai @israel @ethics @military @idf

kris_inwood, to econhist
@kris_inwood@mas.to avatar

On line seminar tomorrow for key research using confidential micro data!
2 papers: “Child Penalties in Canada,” by Connolly, Fontaine & Haeck AND “A scientific approach to addressing social issues using administrative data,” by Green, Simard-Duplain, Sweetman & Warburton.
https://crdcn.ca/events/crdcn-cpp-webinar-5/
@economics @demography @socialscience @sociology @politicalscience @geography @anthropology @econhist @devecon

DataGeekB, to demography
@DataGeekB@mastodon.social avatar

Today, a young American woman between the ages of 25 and 34 face higher mortality rates than at any other point in more than 50 years. And had the mortality rate remained flat between 2000 and 2021, nearly 40,000 young women would not have died.
~Sara Srygley of PRB

https://www.prb.org/articles/today-young-women-in-the-united-states-are-more-likely-to-die-than-at-any-point-since-the-1960s/

@demography @sociology @publico_bot

bibliolater, to psychology
@bibliolater@qoto.org avatar

"Our findings demonstrate a dampening effect on perceptual, emotional, and evaluative processing of presumed deepfake smiles, but not angry expressions, adding new specificity to the debate on the societal impact of AI-generated content."

Eiserbeck, A., Maier, M., Baum, J. et al. Deepfake smiles matter less—the psychological and neural impact of presumed AI-generated faces. Sci Rep 13, 16111 (2023). https://doi.org/10.1038/s41598-023-42802-x @psychology

aram, to bookstodon
@aram@aoir.social avatar

New article from me & @jesse in @RollingStone:

We Spied on Trump’s ‘Southern White House’ From Our Couches

(a preview of our forthcoming @themitpress book THE SECRET LIFE OF DATA)

https://www.rollingstone.com/culture/culture-features/data-brokers-trump-tech-spying-privacy-threat-1234897098/

@bookstodon @commodon @jkehoe

b_rain, to startrek
@b_rain@troet.cafe avatar
sreedevkkumar, to mastodonindians
@sreedevkkumar@journa.host avatar
michael, to plants
@michael@social.tree.dance avatar

The USDA's 2023 plant hardiness zone introduces two new zones (12 and 13) to account for hotter weather, and it harnesses better GIS technology to delineate warmer urban areas, cooler elevated areas and even warmer areas downwind from large bodies of water.

all in all they used 13,625 weather reporting stations to create the map. it's the first update since 2012 and utilizes 30 years of data.

https://planthardiness.ars.usda.gov/pages/map-creation

@plants #tech #climate #data #gardening #agriculture

sreedevkkumar, to mastodonindians
@sreedevkkumar@journa.host avatar
W_P_A, to android
@W_P_A@mastodon.social avatar
kris_inwood, to econhist
@kris_inwood@mas.to avatar

Geoffrey Brooke & Lydia Cheung in @APEHR link military to birth records showing 1/3 of NZ soldiers 1899-1902 misrepresented their age. The young tended to overstate & older men understate age. There was no age heaping. Misreporting does not affect patterns of height by age. Useful analysis of incentives to misreport.
https://doi.org/10.1111/aehr.12276
@economics @demography @socialscience @sociology @politicalscience @geography @anthropology @econhist @devecon #history #histodons #NZ #data #datascience

MinisterratCis, to random
@MinisterratCis@fedihum.org avatar

Der neue Band der Ministerratsprotokolle ist erschienen:

Die Protokolle des cisleithanischen Ministerrates 1867–1918 Bd. VIII: 1914–1918, Teilband 1:
23. Juli 1914 – 22. November 1916,
bearb. von Wladimir Fischer-Nebmaier,
mit einer Einleitung von Wladimir Fischer-Nebmaier – Anatol Schmied-Kowarzik (Wien 2023).

Verfügbar in Print und online. http://mrp.oeaw.ac.at

type,
@type@literatur.social avatar

@MinisterratCis @wladimirfischer @histodons @dh

Der neue Release der TEI-Daten zu den der ist nun auch draußen, siehe https://zenodo.org/doi/10.5281/zenodo.4568291

Mit dabei: Bd. VIII: 1914–1918, Teilband 1: 23. Juli 1914 – 22. November 1916, bearb. von Wladimir Fischer-Nebmaier,
mit einer Einleitung von Wladimir Fischer-Nebmaier – Anatol Schmied-Kowarzik (Wien 2023).

DataGeekB, to demography
@DataGeekB@mastodon.social avatar

The U.S. Census Bureau is seeking nominations for the National Advisory Committee on Racial, Ethnic and Other Populations (NAC).

For details on responsibilities and how to submit a nomination:
https://www.federalregister.gov/documents/2023/11/08/2023-24662/request-for-nominations-of-members-to-serve-on-the-national-advisory-committee-on-racial-ethnic-and

#Census #2020Census #2030Census #Data #Statistics #Race #RaceEquity #Ethnicity #Diversity #Representation #RepresentationMatters #Demography @demography @sociology

sreedevkkumar, to mastodonindians
@sreedevkkumar@journa.host avatar

Majority of sitting MLAs in 5 poll-bound states are crorepatis, many face criminal cases, shows data

In all the five states analysed, those aged 50 and above comprise the majority of the MLAs. No state has done too well when it comes to female representation.

Read more: https://www.moneycontrol.com/news/assembly-elections/rajasthan/majority-of-sitting-mlas-in-5-poll-bound-states-are-crorepatis-many-face-criminal-cases-shows-data-11676631.html

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