Back to interaction (a reply to Barry)

I’m grate­ful to Bar­ry Brown for his com­ments on my short Inter­ac­tions piece, “After Inter­ac­tion”.
Bar­ry, as always, you’ve forced me to think more care­ful­ly about my mean­der­ings. Indeed, my inten­tion was to append a short reply to your com­ment, but your ques­tions have demand­ed more and, pre­dictably, words have got the bet­ter of me. This post, then, is my long-wind­ed response. Thank you for giv­ing me the chance to expand on my thoughts.

First, let me respond to your crit­i­cisms regard­ing the inter­min­glings of humans and non­hu­mans. (more…)

“Earthwide projects” at Shifting Borderlands, Aarhus 2015

I was delight­ed to par­tic­i­pate in last mon­th’s “Shift­ing Bor­der­lands” work­shop at the decen­ni­al Aarhus Con­fer­ence: Crit­i­cal Alter­na­tives . What an inspir­ing and mem­o­rable event! My sin­cer­est thanks to the organ­is­ers, Sil­via, Marisa, Lucian, Hrönn and Carl.
The posi­tion papers—from a won­der­ful mix of people—are all online here. My own text was a short but ram­bling piece on some still under­de­vel­oped ideas. I’ve been try­ing to think a lit­tle more crit­i­cal­ly about my role as a aca­d­e­mi­cian and a Microsoft researcher. Pre­dictably, in com­bi­na­tion, the roles raise all sorts of ques­tions and fric­tions for me. Increas­ing­ly, I’ve direct­ed my efforts at think­ing about the worlds I’ve helped to enact and ask­ing whether they are kinds of worlds that I would want to live in.
It’s hard to put it bet­ter than Don­na Haraway:

My piece, “Impact and Count­ing”, is avail­able here.

Har­away, D. (1988). Sit­u­at­ed knowl­edges: The sci­ence ques­tion in fem­i­nism and the priv­i­lege of par­tial per­spec­tive. Fem­i­nist stud­ies, 14(3): 579.

Presenting “Data in place”

We’re pre­sent­ing a paper at CHI this year on Teni­son Road.
Alex S. Tay­lor, Siân Lind­ley, Tim Regan, David Sweeney, Vasilis Vla­chokyr­i­akos, Lil­lie Grainger, Jes­sa Lin­gel (2015), Data-in-Place: Think­ing through the Rela­tions Between Data and Com­mu­ni­ty, CHI 2015.
Here’s the abstract:

We present find­ings from a year-long engage­ment with a street and its com­mu­ni­ty. The work explores how the pro­duc­tion and use of data is bound up with place, both in terms of phys­i­cal and social geog­ra­phy. We detail three strands of the project. First, we con­sid­er how res­i­dents have sought to curate exist­ing data about the street in the form of an archive with phys­i­cal and dig­i­tal com­po­nents. Sec­ond, we report endeav­ours to cap­ture data about the street’s envi­ron­ment, espe­cial­ly of vehi­cle traf­fic. Third, we draw on the pos­si­bil­i­ties afford­ed by tech­nolo­gies for polling opin­ion. We reflect on how these engage­ments have: mate­ri­alised dis­tinc­tive rela­tions between the com­mu­ni­ty and their data; sur­faced flows and con­tours of data, and spa­tial, tem­po­ral and social bound­aries; and enact­ed a mul­ti­plic­i­ty of ‘small worlds’. We con­sid­er how such a con­cep­tu­al­i­sa­tion of data-in-place is rel­e­vant to the design of technology.

Published Modelling Biology – working through (in-)stabilities and frictions

Just had our paper on Com­pu­ta­tion­al Biol­o­gy pub­lished in the online jour­nal Com­pu­ta­tion­al Cul­ture.
Alex S. Tay­lor, Jas­min Fish­er, Byron Cook, Samin Ish­ti­aq and Nir Piter­man (2014) Mod­el­ling Biol­o­gy – work­ing through (in-)stabilities and fric­tions. Com­pu­ta­tion­al Cul­ture, 1 (4).
modelling_bio
Abstract: Com­pu­ta­tion­al biol­o­gy is a nascent field reliant on soft­ware cod­ing and mod­el­ling to pro­duce insights into bio­log­i­cal phe­nom­e­na. Extreme claims cast it as a field set to replace con­ven­tion­al forms of exper­i­men­tal biol­o­gy, see­ing soft­ware mod­el­ling as a (more con­ve­nient) proxy for bench-work in the wet-lab. In this arti­cle, we deep­en and com­pli­cate the rela­tions between com­pu­ta­tion and sci­en­tif­ic ways of know­ing by dis­cussing a com­pu­ta­tion­al biol­o­gy tool, BMA, that mod­els gene reg­u­la­to­ry net­works. We detail the insta­bil­i­ties and fric­tions that sur­face when com­pu­ta­tion is incor­po­rat­ed into sci­en­tif­ic prac­tice, fram­ing the ten­sions as part of knowing-in-progress—the prac­ti­cal back and forth in work­ing things out. The work exem­pli­fies how soft­ware studies—and care­ful atten­tion to the mate­ri­al­i­ties of computation—can shed light on the emerg­ing sci­ences that rely on cod­ing and com­pu­ta­tion. Fur­ther, it puts to work a stand­point that sees com­pu­ta­tion as tight­ly entan­gled with forms of sci­en­tif­ic know­ing and doing, rather than a whole­sale replace­ment of them.

Published Data and life on the street

We’ve pub­lished a short com­men­tary on the Teni­son Road project in the new Big Data & Soci­ety jour­nal. Down­load it here (open access).
data_and_life
Tay­lor, A. S., Lind­ley, S., Regan, T., & Sweeney, D. (2014). Data and life on the street. Big Data & Soci­ety, 1(2).

Abstract: What does the abun­dance of data and pro­lif­er­a­tion of data-mak­ing meth­ods mean for the ordi­nary per­son, the per­son on the street? And, what could they come to mean? In this paper, we present an overview of a year-long project to exam­ine just such ques­tions and com­pli­cate, in some ways, what it is to ask them. The project is a col­lec­tive exer­cise in which we – a mix­ture of social sci­en­tists, design­ers and mak­ers – and those liv­ing and work­ing on one street in Cam­bridge (UK), Teni­son Road, are work­ing to think through how data might be mate­ri­alised and come to mat­ter. The project aims to bet­ter under­stand the speci­fici­ties and con­tin­gen­cies that arise when data is pro­duced and used in place. Mid-way through the project, we use this com­men­tary to give some back­ground to the work and detail one or two of the trou­bles we have encoun­tered in putting local­ly rel­e­vant data to work. We also touch on a method­olog­i­cal stand­point we are work­ing our way into and through, one that we hope com­pli­cates the sep­a­ra­tions between sub­ject and object in data-mak­ing and opens up pos­si­bil­i­ties for a gen­er­a­tive refig­ur­ing of the man­i­fold relations.

Short note on Solove’s ‘Nothing to Hide’

somethingtosay
Some ear­ly thoughts on data and pri­va­cy, think­ing with Solove’s Noth­ing to Hide:
Ear­ly on in his 2011 book, Noth­ing to Hide, Daniel Solove makes a provoca­tive claim. He writes:
“Legal and pol­i­cy solu­tions focus too much on the prob­lems under the Orwellian metaphor—those of surveillance—and aren’t ade­quate­ly address­ing the Kafkaesque problems—those of infor­ma­tion pro­cess­ing” p.26
Solove’s point here is that much of the legal wran­glings and pol­i­cy mak­ing sur­round­ing pri­va­cy are based on the premise that peo­ple have some­thing to hide. Thus the aims have, by and large, been tied to secur­ing pro­tec­tions against surveillance—operating with­in the rubric of an “Orwellian metaphor”.
The broad­er argu­ment Solove makes is that this treat­ment of pri­va­cy is miss­ing the prover­bial trick.  As a con­cept, pri­va­cy doesn’t sim­ply entail peo­ple want­i­ng to hide things. For starters, accord­ing to Solove, “[m]any peo­ple don’t care about con­ceal­ing the hotels they stay at, the cars they own, or the kind of bev­er­ages they drink.” p.25 “[M]uch of the data gath­ered in com­put­er data­bas­es isn’t par­tic­u­lar­ly sen­si­tive, such as one’s race, birth date, gen­der, address, or mar­i­tal sta­tus.” P.25
It isn’t so much the gath­er­ing of infor­ma­tion that mat­ters, Solove con­tends. It’s what agen­cies like gov­ern­ments are doing with it—the “infor­ma­tion processing”—that counts. The allu­sion is to a Kafkaesque world in which the rela­tions between agen­cies and indi­vid­u­als are man­aged and con­trolled through the analy­sis of infor­ma­tion or data. The pow­er, so to speak, is held by those who can both access the data and sub­ject it to sophis­ti­cat­ed analy­sis. I take this use of infor­ma­tion pro­cess­ing to be anal­o­gous to big data ana­lyt­ics and cer­tain­ly most of the exam­ples Solve refers to sup­port this.
I don’t know what Solove’s sources are for sug­gest­ing “most peo­ple” don’t care about the con­tent of the infor­ma­tion being gath­ered about them (this recent Guardian arti­cle appears to con­firm this). I do get his broad­er point though. Cer­tain­ly, it’s lim­it­ing to see pri­va­cy as exclu­sive­ly based on the premise that peo­ple have some­thing to hide. More­over, the pos­si­bil­i­ties big data ana­lyt­ics open up for dis­cov­er­ing some pret­ty per­son­al things about peo­ple do seem daunt­ing, if per­haps over-hyped.
Yet, with­out want­i­ng to dis­count Solove’s argu­ment, I want to pro­pose a dif­fer­ent way of think­ing about this issue of infor­ma­tion pro­cess­ing. Seen from the ground up, we might also start to ask what peo­ple them­selves want to say through their data and using ana­lyt­ics. When Solove writes about “most peo­ple” I think we need to begin think­ing about what this actu­al means and if there are ways of mak­ing claims like this action­able. So, a counter to the “noth­ing to hide argu­ment” could be that most people—given the knowl­edge and tools—have “some­thing to say”. That is they may want to have some say over how their infor­ma­tion is dis­trib­uted, aggre­gat­ed, analysed and inter­pret­ed and, ulti­mate­ly, how it is pro­duc­tive­ly put to work. This cer­tain­ly won’t solve the mul­ti­ple prob­lems sur­round­ing pri­va­cy, but it may at least redis­trib­ute the pow­er and, in the process, give peo­ple some new ways of express­ing themselves.
Oh, and as it hap­pens, this ques­tion of how to enable peo­ple to have some sort of say and con­trol over what gets done with their infor­ma­tion is one of the moti­va­tions for the new project we’re ramp­ing up in my group at Microsoft Research.
* A thank you to Jes­sa Lin­gel for point­ing me to the first quote above from Solove.