datæcologies.

Commenting on data dashboards and viz technologies: techs come from other places - Tableau, IBM, etc. Cities rely on this tech but have to buy into the way vendors want them to; little funds for bespoke infrastructure.

@dourish speaking last night on ‘data’ as political tool in urban government: it’s not about ‘numbers’ but rather ‘authority’ - whomever has the most data wins. #datathenandnow /cc @uwescience

.@lindsaypoirier's recent (excellent) talk from @uwescience- 'Critiques of Pure (t)Reason: Historical Perspectives on Semantic Data Infrastructure' - is now available for your viewing pleasure! youtu.be/pXoVsCoincI

@scritic on engineering markets at #AmAnth2018: MOOC reformers seamlessly blend elements of Silicon Vally cyberutopianism and American educational progressivism

Carolina Cruz-Neida from @eacualr on #dataviz: the ‘big’ness of data not just a matter of size; also about complex relationships within the data and size of the problem to be solved #BDHubs @MWBigDataHub

Sally Rockey of @FoundationFAR: Does a farmer who buys analytics back from a company still own their data that was used to produce those analytics? #digitalagriculture #BDHubs @MWBigDataHub @NSF_CISE

@SabinaLeonelli on ‘context’: certain data more tractable than others for given groups, leading to stratification, advantages, and disadvantages #HSS2018

Nicole Nelson (@UWHistoryDept) delivers inaugural ‘Data Then and Now’ lecture at @uwescience with stellar talk on Latour, the reproducibility crisis, and links from lab to data practices cc/ @hcdeUW @SimpsonCenter #datasciencestudies

A very special Halloween edition of David Ribes’ famed rendering of @BrunoLatourAIME’s ‘Give Me A Laboratory and I Will Raise the World’ @hcdeUW

A busy morning at @NYU_CUSP mapping out + enacting the Translational Data Science ecosystem @NEbigdatahub @westbigdatahub @NSF_CISE (complete with plug for more #ethnography of #datascience)