"Data do not speak for themselves. Data must be narrated—put to work in particular contexts, sunk into narratives that give them shape and meaning, and mobilized as part of broader processes of interpretation and meaning-making." @dourish@Imagenaciones
Two scalar moves in data science: 1. move datum➡️ data set, the claim that these data are sufficiently "alike" as to be able to be combined, compared, added, & divided 2. move large ➡️ small implicit in the drawing of conclusions or categories from data analysis 2/
The granularity of the data, both spatially and temporally, radically reconfigured the work that they had to do. The very fact of a digital trace produced the necessity of an account, leaving them with less time for their previous responsibilities to parolees and to the public 3/
The responsibility that they felt that they could still discharge, and which occupied an ever-greater amount of time, was one towards *organizational processes*, or even to the data itself. 4/
"Data makes sense only to the extent that we have frames for making sense of it, and the difference between a productive data analysis and a random-number generator is a narrative account of the meaningfulness of their outputs." 5/
Classifications are not neutral. The way in which categories are defined and who defines them tell a story of power. 2/
Increasingly, populations are segmented & differentially treated. Surveillance sorts people into categories, assigning worth or risk, in ways that have real effects on their life chances. 3/
As a mother, I can't wait until my 6 year old can be vaccinated against covid. My #1 reason is that I hope to reduce her chances of getting long covid or suffering any long-term effects. I want to share some of my personal thoughts here. 1/
First, in the USA the FDA has approved the vaccine for 5-11 year olds. This vaccine has been incredibly well studied and is safe. 2/ theguardian.com/world/2021/oct…
It will take years before we fully understand the long-term consequences of covid, but the studies so far (primarily in adults) of damage to a variety of organs, including the brain, vascular system, and immune system are deeply disturbing. 3/
- Millions of people are disabled with long covid (a horrific illness)
- This is going to be VERY expensive
- There are big financial incentives to downplay the severity & prevalence
- Concerted efforts similar to the climate denial playbook
It is critical for physicians, scientists, & public health officials to realize they are not dealing with an orthodox scientific debate, but a well-funded sophisticated denialist campaign based on ideological & corporate interests -- @GYamey@gorskon
"It quickly became apparent that daily, close contact with the data was necessary to understand what states were reporting... At first, we just thought you could pull numbers off dashboards. As it turned out, we actually needed to do deep research.”
Valuable data work lesson 1/
"Building automated tooling facilitated our manual data collection and was crucial to our ability to verify data. Ultimately, though, human scrutiny was needed to develop a deep understanding of the data." 2/
"States frequently changed how, what, and where they reported data... Had we set up a fully automated data capture system in March 2020, it would have failed within days." 3/
"The framing of so-called US-China 'AI arms race' is increasingly used to justify expansion of large tech corporations’ AI capabilities, while acting as a defense against critical work calling for restraint, reflection, & regulation of AI tech & firms."
It is critical to hold both Chinese and US actors accountable for the rights violations they perpetuate. Instead, debates around which state’s technologically-mediated harms are “worse” tend to erase efforts to resist technology-related rights violations within China.
"We often see arguments that portray any check on American tech companies as allowing or endorsing China to grow. In this framing, AI (and the Big Tech companies capable of producing it) is conflated with the national security interests of the US."
Also, let's not forget ventilation as a very powerful and under-utilized tool.
Setting incentives based on R<1 would be more motivating to use all our options to get there, not solely vaccines (which are great, but in many places not enough on their own)