De opkomst van de meritocratie

Thi­js Klein­paste heeft een mooie boekbe­sprek­ing van Michael Young’s De opkomst van de mer­i­to­cratie in de Ned­er­landse Boekengids. Een paar pas­sages die ik vooral sterk vond hieronder.

De grote ver­di­en­ste van Young is dat hij inzichtelijk maakt hoe onschuldige principes als ‘beloning naar ver­di­en­ste’ volkomen kun­nen ontsporen als ze wor­den ingezet bin­nen een verder onveran­derd soci­aal en economisch stelsel. Con­creet: som­mi­gen een uitverko­ren posi­tie geven in een maatschap­pelijke hiërar­chie en anderen opdra­gen om hun plek te kennen. 

Het klassen­be­lang van de mer­i­to­cratie is abstracter. Het belan­grijk­ste is om allereerst een klasse of kaste te bli­jven om zo de voorde­len daar­van te kun­nen bli­jven oog­sten. In iedere mod­erne staat wordt macht uit­geoe­fend – of mer­i­to­cratis­ch­er gezegd: moet er bestu­urd wor­den – en als er dan toch een kaste moet zijn die deze taak vervult, laat dat die van de hoogst gediplomeer­den zijn. De mer­i­to­cratie repro­duceert zichzelf door deze gedachte mee te geven aan elke nieuwe licht­ing die tot haar uitverko­ren rangen toe­treedt: dat zij de juiste, met recht geroepen groep is om de wereld te orde­nen. Niet de arbei­der­sklasse, niet de ongelei­de democ­ra­tie, niet het gekri­oel van belan­gen­groep­jes – maar zij. Alle mater­iële voorde­len van de mer­i­to­cratie vloeien voort uit het in stand houden van die uitverko­ren status.

Te vaak lijkt de gedachte te zijn dat verte­gen­wo­ordig­ing en het bedi­enen van belan­gen onprob­lema­tisch in elka­ars ver­lengde liggen. Om die zelfge­noegza­amheid te door­breken is ken­nelijk iets stel­ligers nodig, zoals de gedachte dat waar man­agers en bestu­ur­ders zijn, er ges­taakt moet kun­nen wor­den: dat waar macht wordt uit­geoe­fend en waar aan­wi­jzin­gen wor­den gegeven, zij die de aan­wi­jzin­gen moeten opvol­gen kun­nen stem­men met hun voeten. Dat con­flict omar­md wordt en niet wordt gezien als iets wat gevaar­lijk is voor de maatschap­pelijke lieve vrede, de ‘economie’, of zelfs de democ­ra­tie. Con­flict is ongetwi­jfeld gevaar­lijk voor de hege­monie van de man­ag­er en diens klasse van droomkoninkjes, en daarmee voor de soev­ere­initeit van de mer­i­to­cratis­che orde, maar dat gevaar is zow­el heilza­am als noodza­ke­lijk. Een van de lessen van het boek van Young is immers ook dat je moet kiezen: zelf een rev­o­lu­tie mak­en, of wacht­en tot die uitbreekt.

Zelf lezen: https://www.nederlandseboekengids.com/20221116-thijs-kleinpaste/

PhD update – September 2022

Sev­en months since the last update. Much bet­ter than the gap of three years between the pre­vi­ous two. These past months I feel like I have begun to reap the rewards of the grunt work of the last cou­ple of years. Two papers final­ly saw the light of day, as well as a course syl­labus. Read on for some more details.

Things that hap­pened:

First, a pair of talks. In Feb­ru­ary I pre­sent­ed on “Con­testable AI & Civic Co-Design” as part of a pan­el chaired by Roy Ben­dor at Rein­vent­ing the City. A PDF of my slides is avail­able on the contestable.ai web­site, here. In March, I pre­sent­ed at the AiTech Ago­ra. The title of the talk is “Mean­ing­ful Human Con­trol Through Con­testa­bil­i­ty by Design” and the slides are avail­able here.

In Feb­ru­ary a short inter­view was pub­lished by Bold Cities, a smart city research cen­ter I am loose­ly affil­i­at­ed with.

Then, in March, came a big moment for me, with the pub­li­ca­tion of my first jour­nal arti­cle in AI & Soci­ety. Here’s the abstract, and ref­er­ence. It’s avail­able open access.

The increas­ing use of arti­fi­cial intel­li­gence (AI) by pub­lic actors has led to a push for more trans­paren­cy. Pre­vi­ous research has con­cep­tu­al­ized AI trans­paren­cy as knowl­edge that empow­ers cit­i­zens and experts to make informed choic­es about the use and gov­er­nance of AI. Con­verse­ly, in this paper, we crit­i­cal­ly exam­ine if trans­paren­cy-as-knowl­edge is an appro­pri­ate con­cept for a pub­lic realm where pri­vate inter­ests inter­sect with demo­c­ra­t­ic con­cerns. We con­duct a prac­tice-based design research study in which we pro­to­type and eval­u­ate a trans­par­ent smart elec­tric vehi­cle charge point, and inves­ti­gate experts’ and cit­i­zens’ under­stand­ing of AI trans­paren­cy. We find that cit­i­zens expe­ri­ence trans­paren­cy as bur­den­some; experts hope trans­paren­cy ensures accep­tance, while cit­i­zens are most­ly indif­fer­ent to AI; and with absent means of con­trol, cit­i­zens ques­tion transparency’s rel­e­vance. The ten­sions we iden­ti­fy sug­gest trans­paren­cy can­not be reduced to a prod­uct fea­ture, but should be seen as a medi­a­tor of debate between experts and citizens.

Alfrink, Kars, Ianus Keller, Neelke Doorn, and Gerd Kortuem. “Ten­sions in Trans­par­ent Urban AI: Design­ing a Smart Elec­tric Vehi­cle Charge Point.” AI & SOCIETY, March 31, 2022. https://doi.org/10/gpszwh.

In April, the Respon­si­ble Sens­ing Lab pub­lished a report on “Respon­si­ble Drones”, to which I con­tributed a lit­tle as par­tic­i­pant on work­shops that lead up to it.

A sec­ond big mile­stone for me was mak­ing pub­lic the syl­labus for indus­tri­al design engi­neer­ing mas­ter elec­tive course “AI & Soci­ety” (no rela­tion to the jour­nal) which I have been devel­op­ing under the guid­ance of my super­vi­sor Gerd Kortuem over the past cou­ple of years. The syl­labus con­tains a read­ing list, as well as many self-guid­ed design exer­cis­es. Here’s a short description:

Arti­fi­cial Intel­li­gence (AI) is increas­ing­ly used by a vari­ety of orga­ni­za­tions in ways that impact soci­ety at scale. This 6 EC mas­ter elec­tive course aims to equip stu­dents with tools and meth­ods for the respon­si­ble design of pub­lic AI. Dur­ing sev­en weeks stu­dents attend a full-day ses­sion of lec­tures and work­shops. Stu­dents col­lab­o­rate on a group design project through­out. At the end, stu­dents indi­vid­u­al­ly deliv­er a short paper.

ID5417 Arti­fi­cial Intel­li­gence and Society

The third big mile­stone was the pub­li­ca­tion of my sec­ond jour­nal arti­cle in Minds & Machines. It is the the­o­ret­i­cal cor­ner­stone of my the­sis, a pro­vi­sion­al frame­work for design­ing con­testa­bil­i­ty into AI sys­tems. Abstract and ref­er­ence fol­low. This one is also open access.

As the use of AI sys­tems con­tin­ues to increase, so do con­cerns over their lack of fair­ness, legit­i­ma­cy and account­abil­i­ty. Such harm­ful auto­mat­ed deci­sion-mak­ing can be guard­ed against by ensur­ing AI sys­tems are con­testable by design: respon­sive to human inter­ven­tion through­out the sys­tem life­cy­cle. Con­testable AI by design is a small but grow­ing field of research. How­ev­er, most avail­able knowl­edge requires a sig­nif­i­cant amount of trans­la­tion to be applic­a­ble in prac­tice. A proven way of con­vey­ing inter­me­di­ate-lev­el, gen­er­a­tive design knowl­edge is in the form of frame­works. In this arti­cle we use qual­i­ta­tive-inter­pre­ta­tive meth­ods and visu­al map­ping tech­niques to extract from the lit­er­a­ture sociotech­ni­cal fea­tures and prac­tices that con­tribute to con­testable AI, and syn­the­size these into a design framework. 

Alfrink, Kars, Ianus Keller, Gerd Kortuem, and Neelke Doorn. “Con­testable AI by Design: Towards a Frame­work.” Minds and Machines, August 13, 2022. https://doi.org/10/gqnjcs.

Around the same time in August, Fabi­an Geis­er, whom I had been men­tor­ing for some time, grad­u­at­ed with a fas­ci­nat­ing mas­ter the­sis and project with the title “Reimag­in­ing the smart allo­ca­tion of road space in Ams­ter­dam for fair­ness”.

And final­ly, as these things were going on, I have been qui­et­ly chip­ping away at a third paper that applies the con­testable AI by design frame­work to the phe­nom­e­non of cam­era cars used by munic­i­pal­i­ties. My aim was to cre­ate an exam­ple of what I mean by con­testable AI, and use the exam­ple to inter­view civ­il ser­vants about their views on the chal­lenges fac­ing imple­men­ta­tion of con­testa­bil­i­ty in the pub­lic AI sys­tems they are involved with. I’ve sub­mit­ted the man­u­script, titled “Con­testable Cam­era Cars: A spec­u­la­tive design explo­ration of pub­lic AI that is open and respon­sive to dis­pute”, to CHI, and will hear back ear­ly Novem­ber. Fin­gers crossed for that one.

Look­ing ahead:

So what’s next? Well, I have lit­tle under a year left on my PhD con­tract, so I should real­ly begin wrap­ping up. I am con­sid­er­ing a final pub­li­ca­tion, but have not set­tled on any top­ic in par­tic­u­lar yet. Cur­rent inter­ests include AI sys­tem mon­i­tor­ing, visu­al meth­ods, and more besides. Once that final paper is in the can I will turn my atten­tion to putting togeth­er the the­sis itself, which is paper-based, so most­ly requires writ­ing an over­all intro­duc­tion and con­clu­sion to book­end the includ­ed pub­li­ca­tions. Should be a piece of cake, right?

And after the PhD? I am not sure yet, but I hope to remain involved in research and teach­ing, while at the same time per­haps get­ting a bit more back into design prac­tice besides. If at all pos­si­ble, hope­ful­ly in the domain of pub­lic sec­tor appli­ca­tions of AI.

That’s it for this update. I will be back at some point when there is more news to share.

PhD update – January 2022

It has been three years since I last wrote an update on my PhD. I guess anoth­er post is in order. 

My PhD plan was for­mal­ly green-lit in Octo­ber 2019. I am now over three years into this thing. There are rough­ly two more years left on the clock. I update my plans on a rolling basis. By my lat­est esti­ma­tion, I should be ready to request a date for my defense in May 2023. 

Of course, the pan­dem­ic forced me to adjust course. I am lucky enough not to be locked into par­tic­u­lar meth­ods or cas­es that are fun­da­men­tal­ly incom­pat­i­ble with our cur­rent predica­ment. But still, I had to change up my meth­ods, and recon­sid­er the sequenc­ing of my planned studies. 

The con­fer­ence paper I men­tioned in the pre­vi­ous update, using the MX3D bridge to explore smart cities’ log­ic of con­trol and city­ness, was reject­ed by DIS. I per­formed a rewrite, but then came to the con­clu­sion it was kind of a false start. These kinds of things are all in the game, of course.

The sec­ond paper I wrote uses the Trans­par­ent Charg­ing Sta­tion to inves­ti­gate how notions of trans­par­ent AI dif­fer between experts and cit­i­zens. It was final­ly accept­ed late last year and should see pub­li­ca­tion in AI & Soci­ety soon. It is titled Ten­sions in Trans­par­ent Urban AI: Design­ing A Smart Elec­tric Vehi­cle Charge Point. This piece went through mul­ti­ple major revi­sions and was pre­vi­ous­ly reject­ed by DIS and CHI.

A third paper, Con­testable AI by Design: Towards A Frame­work, uses a sys­tem­at­ic lit­er­a­ture review of AI con­testa­bil­i­ty to con­struct a pre­lim­i­nary design frame­work, is cur­rent­ly under review at a major phi­los­o­phy of tech­nol­o­gy jour­nal. Fin­gers crossed.

And cur­rent­ly, I am work­ing on my fourth pub­li­ca­tion, tan­gen­tial­ly titled Con­testable Cam­era Cars: A Spec­u­la­tive Design Explo­ration of Pub­lic AI Sys­tems Respon­sive to Val­ue Change, which will be based on empir­i­cal work that uses spec­u­la­tive design as a way to devel­op guide­lines and exam­ples for the afore­men­tioned design frame­work, and to inves­ti­gate civ­il ser­vants’ views on the path­ways towards con­testable AI sys­tems in pub­lic administration.

Once that one is done, I intend to do one more study, prob­a­bly look­ing into mon­i­tor­ing and trace­abil­i­ty as poten­tial lever­age points for con­testa­bil­i­ty, after which I will turn my atten­tion to com­plet­ing my thesis. 

Aside from my research, in 2021 was allowed to devel­op and teach a mas­ter elec­tive cen­tered around my PhD top­ic, titled AI & Soci­ety. In it, stu­dents are equipped with tech­ni­cal knowl­edge of AI, and tools for think­ing about AI ethics. They apply these to a design stu­dio project focused on con­cep­tu­al­iz­ing a respon­si­ble AI-enabled ser­vice that address­es a social issue the city of Ams­ter­dam might con­ceiv­ably strug­gle with. Stu­dents also write a brief paper reflect­ing on and cri­tiquing their group design work. You can see me on Vimeo do a brief video intro­duc­tion for stu­dents who are con­sid­er­ing the course. I will be run­ning the course again this year start­ing end of February.

I also men­tored a num­ber of bril­liant mas­ter grad­u­a­tion stu­dents: Xueyao Wang (with Jacky Bour­geois as chair) Jooy­oung Park, Loes Sloet­jes (both with Roy Ben­dor as chair) and cur­rent­ly Fabi­an Geis­er (with Euiy­oung Kim as chair). Work­ing with stu­dents is one of the best parts of being in academia.

All of the above would not have been pos­si­ble with­out the great sup­port from my super­vi­so­ry team: Ianus Keller, Neelke Doorn and Gerd Kortuem. I should also give spe­cial men­tion to Thi­js Turel at AMS Institute’s Respon­si­ble Sens­ing Lab, where most of my empir­i­cal work is situated.

If you want to dig a lit­tle deep­er into some of this, I recent­ly set up a web­site for my PhD project over at contestable.ai.

Research Through Design Reading List

After post­ing the list of engi­neer­ing ethics read­ings it occurred to me I also have a real­ly nice col­lec­tion of things to read from a course on research through design taught by Pieter Jan Stap­pers, which I took ear­li­er this year. I fig­ured some might get some use out of it and I like hav­ing it for my own ref­er­ence here as well. 

The back­bone for this course is the chap­ter on research through design by Stap­pers and Giac­car­di in the ency­clo­pe­dia of human-com­put­er inter­ac­tion, which I high­ly recommend. 

All of the read­ings below are ref­er­enced in that chap­ter. I’ve read some, quick­ly gut­ted oth­ers for mean­ing and the remain­der is still on my to-read list. For me per­son­al­ly, the things on anno­tat­ed port­fo­lios and inter­me­di­ate-lev­el knowl­edge by Gaver and Löw­gren were the most imme­di­ate­ly use­ful and applic­a­ble. I’d read the Zim­mer­man paper ear­li­er and although it’s pret­ty con­crete in its pre­scrip­tions I did not real­ly latch on to it.

  1. Brandt, Eva, and Thomas Binder. “Exper­i­men­tal design research: geneal­o­gy, inter­ven­tion, argu­ment.” Inter­na­tion­al Asso­ci­a­tion of Soci­eties of Design Research, Hong Kong 10 (2007).
  2. Gaver, Bill, and John Bow­ers. “Anno­tat­ed port­fo­lios.” inter­ac­tions 19.4 (2012): 40–49.
  3. Gaver, William. “What should we expect from research through design?.” Pro­ceed­ings of the SIGCHI con­fer­ence on human fac­tors in com­put­ing sys­tems. ACM, 2012.
  4. Löw­gren, Jonas. “Anno­tat­ed port­fo­lios and oth­er forms of inter­me­di­ate-lev­el knowl­edge.” Inter­ac­tions 20.1 (2013): 30–34.
  5. Stap­pers, Pieter Jan, F. Sleeswijk Viss­er, and A. I. Keller. “The role of pro­to­types and frame­works for struc­tur­ing explo­rations by research through design.” The Rout­ledge Com­pan­ion to Design Research (2014): 163–174.
  6. Stap­pers, Pieter Jan. “Meta-lev­els in Design Research.”
  7. Stap­pers, Pieter Jan. “Pro­to­types as cen­tral vein for knowl­edge devel­op­ment.” Pro­to­type: Design and craft in the 21st cen­tu­ry (2013): 85–97.
  8. Wensveen, Stephan, and Ben Matthews. “Pro­to­types and pro­to­typ­ing in design research.” The Rout­ledge Com­pan­ion to Design Research. Tay­lor & Fran­cis (2015).
  9. Zim­mer­man, John, Jodi For­l­izzi, and Shel­ley Even­son. “Research through design as a method for inter­ac­tion design research in HCI.” Pro­ceed­ings of the SIGCHI con­fer­ence on Human fac­tors in com­put­ing sys­tems. ACM, 2007.

Bonus lev­el: sev­er­al items relat­ed to “mud­dling through”…

  1. Flach, John M., and Fred Voorhorst. “What mat­ters?: Putting com­mon sense to work.” (2016).
  2. Lind­blom, Charles E. “Still Mud­dling, Not Yet Through.” Pub­lic Admin­is­tra­tion Review 39.6 (1979): 517–26.
  3. Lind­blom, Charles E. “The sci­ence of mud­dling through.” Pub­lic Admin­is­tra­tion Review 19.2 (1959): 79–88.

Engineering Ethics Reading List

I recent­ly fol­lowed an excel­lent three-day course on engi­neer­ing ethics. It was offered by the TU Delft grad­u­ate school and taught by Behnam Taibi with guest lec­tures from sev­er­al of our faculty.

I found it par­tic­u­lar­ly help­ful to get some sug­ges­tions for fur­ther read­ing that rep­re­sent some of the foun­da­tion­al ideas in the field. I fig­ured it would be use­ful to oth­ers as well to have a point­er to them. 

So here they are. I’ve quick­ly gut­ted these for their mean­ing. The one by Van de Poel I did read entire­ly and can high­ly rec­om­mend for any­one who’s doing design of emerg­ing tech­nolo­gies and wants to escape from the informed con­sent conundrum. 

I intend to dig into the Doorn one, not just because she’s one of my pro­mot­ers but also because resilience is a con­cept that is close­ly relat­ed to my own inter­ests. I’ll also get into the Flori­di one in detail but the con­cept of infor­ma­tion qual­i­ty and the care ethics per­spec­tive on the prob­lem of infor­ma­tion abun­dance and atten­tion scarci­ty I found imme­di­ate­ly applic­a­ble in inter­ac­tion design.

  1. Stil­goe, Jack, Richard Owen, and Phil Mac­naght­en. “Devel­op­ing a frame­work for respon­si­ble inno­va­tion.” Research Pol­i­cy 42.9 (2013): 1568–1580.
  2. Van den Hov­en, Jeroen. “Val­ue sen­si­tive design and respon­si­ble inno­va­tion.” Respon­si­ble inno­va­tion (2013): 75–83.
  3. Hans­son, Sven Ove. “Eth­i­cal cri­te­ria of risk accep­tance.” Erken­nt­nis 59.3 (2003): 291–309.
  4. Van de Poel, Ibo. “An eth­i­cal frame­work for eval­u­at­ing exper­i­men­tal tech­nol­o­gy.” Sci­ence and engi­neer­ing ethics22.3 (2016): 667–686.
  5. Hans­son, Sven Ove. “Philo­soph­i­cal prob­lems in cost–benefit analy­sis.” Eco­nom­ics & Phi­los­o­phy 23.2 (2007): 163–183.
  6. Flori­di, Luciano. “Big Data and infor­ma­tion qual­i­ty.” The phi­los­o­phy of infor­ma­tion qual­i­ty. Springer, Cham, 2014. 303–315.
  7. Doorn, Neelke, Pao­lo Gar­doni, and Colleen Mur­phy. “A mul­ti­dis­ci­pli­nary def­i­n­i­tion and eval­u­a­tion of resilience: The role of social jus­tice in defin­ing resilience.” Sus­tain­able and Resilient Infra­struc­ture (2018): 1–12.

We also got a draft of the intro chap­ter to a book on engi­neer­ing and ethics that Behnam is writ­ing. That looks very promis­ing as well but I can’t share yet for obvi­ous reasons.

PhD update – January 2019

Thought I’d post a quick update on my PhD. Since my pre­vi­ous post almost five months have passed. I’ve been devel­op­ing my plan fur­ther, for which you’ll find an updat­ed descrip­tion below. I’ve also put togeth­er my very first con­fer­ence paper, co-authored with my super­vi­sor Gerd Kortuem. It’s a case study of the MX3D smart bridge for Design­ing Inter­ac­tive Sys­tems 2019. We’ll see if it gets accept­ed. But in any case, writ­ing some­thing has been huge­ly edu­ca­tion­al. And once I final­ly fig­ured out what the hell I was doing, it was sort of fun as well. Still kind of a trip to be paid to do this kind of work. Look­ing ahead, I am set­ting goals for this year and the near­er term as well. It’s all very rough still but it will like­ly involve research through design as a method and maybe object ori­ent­ed ontol­ogy as a the­o­ry. All of which will serve to oper­a­tionalise and eval­u­ate the use­ful­ness of the “con­testa­bil­i­ty” con­cept in the con­text of smart city infra­struc­ture. To be continued—and I wel­come all your thoughts!


Design­ing Smart City Infra­struc­ture for Contestability

The use of infor­ma­tion tech­nol­o­gy in cities increas­ing­ly sub­jects cit­i­zens to auto­mat­ed data col­lec­tion, algo­rith­mic deci­sion mak­ing and remote con­trol of phys­i­cal space. Cit­i­zens tend to find these sys­tems and their out­comes hard to under­stand and pre­dict [1]. More­over, the opac­i­ty of smart urban sys­tems pre­cludes full cit­i­zen­ship and obstructs people’s ‘right to the city’ [2].

A com­mon­ly pro­posed solu­tion is to improve cit­i­zens under­stand­ing of sys­tems by mak­ing them more open and trans­par­ent [3]. For exam­ple, GDPR pre­scribes people’s right to expla­na­tion of auto­mat­ed deci­sions they have been sub­ject­ed to. For anoth­er exam­ple, the city of Ams­ter­dam offers a pub­licly acces­si­ble reg­is­ter of urban sen­sors, and is com­mit­ted to open­ing up all the data they collect.

How­ev­er, it is not clear that open­ness and trans­paren­cy in and of itself will yield the desired improve­ments in under­stand­ing and gov­ern­ing of smart city infra­struc­tures [4]. We would like to sug­gest that for a sys­tem to per­ceived as account­able, peo­ple must be able to con­test its workings—from the data it col­lects, to the deci­sions it makes, all the way through to how those deci­sions are act­ed on in the world.

The lead­ing research ques­tion for this PhD there­fore is how to design smart city infrastructure—urban sys­tems aug­ment­ed with inter­net-con­nect­ed sens­ing, pro­cess­ing and actu­at­ing capabilities—for con­testa­bil­i­ty [5]: the extent to which a sys­tem sup­ports the abil­i­ty of those sub­ject­ed to it to oppose its work­ings as wrong or mistaken.

Ref­er­ences

  1. Bur­rell, Jen­na. “How the machine ‘thinks’: Under­stand­ing opac­i­ty in machine learn­ing algo­rithms.” Big Data & Soci­ety 3.1 (2016): 2053951715622512.
  2. Kitchin, Rob, Pao­lo Car­dul­lo, and Cesare Di Feli­cianto­nio. “Cit­i­zen­ship, Jus­tice and the Right to the Smart City.” (2018).
  3. Abdul, Ashraf, et al. “Trends and tra­jec­to­ries for explain­able, account­able and intel­li­gi­ble sys­tems: An hci research agen­da.” Pro­ceed­ings of the 2018 CHI Con­fer­ence on Human Fac­tors in Com­put­ing Sys­tems. ACM, 2018.
  4. Anan­ny, Mike, and Kate Craw­ford. “See­ing with­out know­ing: Lim­i­ta­tions of the trans­paren­cy ide­al and its appli­ca­tion to algo­rith­mic account­abil­i­ty.” New Media & Soci­ety 20.3 (2018): 973–989.
  5. Hirsch, Tad, et al. “Design­ing con­testa­bil­i­ty: Inter­ac­tion design, machine learn­ing, and men­tal health.” Pro­ceed­ings of the 2017 Con­fer­ence on Design­ing Inter­ac­tive Sys­tems. ACM, 2017.

Books I’ve read in 2018

Goodreads tells me I’ve read 48 books in 2018. I set myself the goal of 36 so it looks like I beat it hand­i­ly. But includ­ed in that count are quite a few role­play­ing game books and comics. If I dis­card those I’m left with 28 titles. Still a decent amount but noth­ing par­tic­u­lar­ly remark­able. Below are a few lists and some notes to go with them.

Most of the non-fic­tion is some­where on the inter­sec­tion of design, tech­nol­o­gy and Left pol­i­tics. A lot of this read­ing was dri­ven by my desire to devel­op some kind of men­tal frame­work for the work we were doing with Tech Sol­i­dar­i­ty NL. More recently—since I start­ed my PhD—I’ve most­ly been read­ing text­books on research method­ol­o­gy. Hid­den from this list is the aca­d­e­m­ic papers I’ve start­ed con­sum­ing as part of this new job. I should fig­ure out a way of shar­ing some of that here or else­where as well.

I took a break from tech­nol­o­gy and indulged in a deep dive into the his­to­ry of the thir­ty year’s war with a mas­sive non-fic­tion treat­ment as well as a clas­sic picaresque set in the same time peri­od. While read­ing these I was tran­si­tion­ing into my new role as a father of twin boys. Some­what relat­ed was a brief his­to­ry of The Nether­lands, which I’ve start­ed rec­om­mend­ing to for­eign­ers who are strug­gling to under­stand our idio­syn­crat­ic lit­tle nation and go beyond superficialities. 

Then there’s the fic­tion, which in the begin­ning of the year con­sist­ed of high­brow weird and his­tor­i­cal nov­els but then ven­tured into clas­sic fan­ta­sy and (utopi­an) sci-fi ter­ri­to­ry. Again, most­ly because of a jus­ti­fi­able desire for some escapism in the sleep deprived evenings and nights.

Hav­ing men­tioned the arrival of our boys a few times it should come as no sur­prise that I also read a cou­ple of par­ent­ing books. These were more than enough for me and real­ly to be hon­est I think par­ent­ing is a thing best learned through prac­tice. Espe­cial­ly if you’re rais­ing two babies at once.

So that’s it. I’ve set myself the mod­est goal of 24 books for this year because I’m quite sure most of my read­ing will be papers and such. Here’s to a year of what I expect will be many more late night and ear­ly morn­ing read­ing ses­sions of escapist weird fiction.

Pre­vi­ous years: 2017, 2016, 2015, 2011, 2009.

Starting a PhD

Today is the first offi­cial work day of my new doc­tor­al researcher posi­tion at Delft Uni­ver­si­ty of Tech­nol­o­gy. After more than two years of lay­ing the ground work, I’m start­ing out on a new challenge. 

I remem­ber sit­ting out­side a Jew­el cof­fee bar in Sin­ga­pore1 and going over the var­i­ous options for what­ev­er would be next after shut­ting down Hub­bub. I knew I want­ed to delve into the impact of machine learn­ing and data sci­ence on inter­ac­tion design. And large­ly through process of elim­i­na­tion I felt the best place for me to do so would be inside of academia.

Back in the Nether­lands, with help from Ianus Keller, I start­ed mak­ing inroads at TU Delft, my first choice for this kind of work. I had vis­it­ed it on and off over the years, coach­ing stu­dents and doing guest lec­tures. I’d felt at home right away.

There were quite a few twists and turns along the way but now here we are. Start­ing this month I am a doc­tor­al can­di­date at Delft Uni­ver­si­ty of Technology’s fac­ul­ty of Indus­tri­al Design Engineering. 

My research is pro­vi­sion­al­ly titled ‘Intel­li­gi­bil­i­ty and Trans­paren­cy of Smart Pub­lic Infra­struc­tures: A Design Ori­ent­ed Approach’. Its main object of study is the MX3D smart bridge. My super­vi­sors are Gerd Kortuem and Neelke Doorn. And it’s all part of the NWO-fund­ed project ‘BRIdg­ing Data in the built Envi­ron­ment (BRIDE)’.

Below is a first rough abstract of the research. But in the months to come this is like­ly to change sub­stan­tial­ly as I start ham­mer­ing out a prop­er research plan. I plan to post the occa­sion­al update on my work here, so if you’re inter­est­ed your best bet is prob­a­bly to do the old RSS thing. There’s social media too, of course. And I might set up a newslet­ter at some point. We’ll see.

If any of this res­onates, do get in touch. I’d love to start a con­ver­sa­tion with as many peo­ple as pos­si­ble about this stuff.

Intel­li­gi­bil­i­ty and Trans­paren­cy of Smart Pub­lic Infra­struc­tures: A Design Ori­ent­ed Approach

This phd will explore how design­ers, tech­nol­o­gists, and cit­i­zens can uti­lize rapid urban man­u­fac­tur­ing and IoT tech­nolo­gies for design­ing urban space that express­es its intel­li­gence from the inter­sec­tion of peo­ple, places, activ­i­ties and tech­nol­o­gy, not mere­ly from the pres­ence of cut­ting-edge tech­nol­o­gy. The key ques­tion is how smart pub­lic infra­struc­ture, i.e. data-dri­ven and algo­rithm-rich pub­lic infra­struc­tures, can be under­stood by lay-people.

The design-ori­ent­ed research will uti­lize a ‘research through design’ approach to devel­op a dig­i­tal expe­ri­ence around the bridge and the sur­round­ing urban space. Dur­ing this extend­ed design and mak­ing process the phd stu­dent will con­duct empir­i­cal research to inves­ti­gate design choic­es and their impli­ca­tions on (1) new forms of par­tic­i­pa­to­ry data-informed design process­es, (2) the tech­nol­o­gy-medi­at­ed expe­ri­ence of urban space, (3) the emerg­ing rela­tion­ship between res­i­dents and “their” bridge, and (4) new forms of data-informed, cit­i­zen led gov­er­nance of pub­lic space.

  1. My Foursquare his­to­ry and 750 Words archive tell me this was on Sat­ur­day, Jan­u­ary 16, 2016. []

An Introduction to Value Sensitive Design

Phnom Bakheng
Phnom Bakheng

At a recent Tech Sol­i­dar­i­ty NL meet­up we dove into Val­ue Sen­si­tive Design. This approach had been on my radar for a while so when we con­clud­ed that for our com­mu­ni­ty it would be use­ful to talk about how to prac­tice eth­i­cal design and devel­op­ment of tech­nol­o­gy, I fig­ured we should check it out. 

Val­ue Sen­si­tive Design has been around for ages. The ear­li­est arti­cle I came across is by Batya Fried­man in a 1996 edi­tion of Inter­ac­tions mag­a­zine. Iron­i­cal­ly, or trag­i­cal­ly, I must say I have only heard about the approach from aca­d­e­mics and design the­o­ry nerds. In indus­try at large, Val­ue Sen­si­tive Design appears to be—to me at least—basically unknown. (A recent excep­tion would be this inter­est­ing mar­riage of design sprints with Val­ue Sen­si­tive Design by Cen­ny­dd Bowles.)

For the meet­up, I read a hand-full of papers and cob­bled togeth­er a deck which attempts to sum­marise this ’framework’—the term favoured by its main pro­po­nents. I went through it and then we had a spir­it­ed dis­cus­sion of how its ideas apply to our dai­ly prac­tice. A report of all of that can be found over at the Tech Sol­i­dar­i­ty NL website.

Below, I have attempt­ed to pull togeth­er the most salient points from what is a rather dense twen­ty-plus-slides deck. I hope it is of some use to those pro­fes­sion­al design­ers and devel­op­ers who are look­ing for bet­ter ways of build­ing tech­nol­o­gy that serves the inter­est of the many, not the few.

What fol­lows is most­ly adapt­ed from the chap­ter “Val­ue Sen­si­tive Design and Infor­ma­tion Sys­tems” in Human–computer inter­ac­tion in man­age­ment infor­ma­tion sys­tems: Foun­da­tions. All quotes are from there unless oth­er­wise noted.

Background

The depar­ture point is the obser­va­tion that “there is a need for an over­ar­ch­ing the­o­ret­i­cal and method­olog­i­cal frame­work with which to han­dle the val­ue dimen­sions of design work.” In oth­er words, some­thing that accounts for what we already know about how to deal with val­ues in design work in terms of the­o­ry and con­cepts, as well as meth­ods and techniques. 

This is of course not a new con­cern. For exam­ple, famed cyber­neti­cist Nor­bert Wiener argued that tech­nol­o­gy could help make us bet­ter human beings, and cre­ate a more just soci­ety. But for it to do so, he argued, we have to take con­trol of the technology.

We have to reject the “wor­ship­ing [of] the new gad­gets which are our own cre­ation as if they were our mas­ters.” (Wiener 1953)

We can find many more sim­i­lar argu­ments through­out the his­to­ry of infor­ma­tion tech­nol­o­gy. Recent­ly such con­cerns have flared up in indus­try as well as soci­ety at large. (Not always for the right rea­sons in my opin­ion, but that is some­thing we will set aside for now.) 

To address these con­cerns, Val­ue Sen­si­tive Design was devel­oped. It is “a the­o­ret­i­cal­ly ground­ed approach to the design of tech­nol­o­gy that accounts for human val­ues in a prin­ci­pled and com­pre­hen­sive man­ner through­out the design process.” It has been applied suc­cess­ful­ly for over 20 years. 

Defining Values

But what is a val­ue? In the lit­er­a­ture it is defined as “what a per­son or group of peo­ple con­sid­er impor­tant in life.” I like this def­i­n­i­tion because it is easy to grasp but also under­lines the slip­pery nature of val­ues. Some things to keep in mind when talk­ing about values:

  • In a nar­row sense, the word “val­ue” refers sim­ply to the eco­nom­ic worth of an object. This is not the mean­ing employed by Val­ue Sen­si­tive Design.
  • Val­ues should not be con­flat­ed with facts (the “fact/value dis­tinc­tion”) espe­cial­ly inso­far as facts do not log­i­cal­ly entail value.
  • Is” does not imply “ought” (the nat­u­ral­is­tic fallacy).
  • Val­ues can­not be moti­vat­ed only by an empir­i­cal account of the exter­nal world, but depend sub­stan­tive­ly on the inter­ests and desires of human beings with­in a cul­tur­al milieu. (So con­trary to what some right-wingers like to say: “Facts do care about your feelings.”)

Investigations

Let’s dig into the way this all works. “Val­ue Sen­si­tive Design is an iter­a­tive method­ol­o­gy that inte­grates con­cep­tu­al, empir­i­cal, and tech­ni­cal inves­ti­ga­tions.” So it dis­tin­guish­es between three types of activ­i­ties (“inves­ti­ga­tions”) and it pre­scribes cycling through these activ­i­ties mul­ti­ple times. Below are list­ed ques­tions and notes that are rel­e­vant to each type of inves­ti­ga­tion. But in brief, this is how I under­stand them: 

  1. Defin­ing the spe­cif­ic val­ues at play in a project;
  2. Observ­ing, mea­sur­ing, and doc­u­ment­ing people’s behav­iour and the con­text of use;
  3. Analysing the ways in which a par­tic­u­lar tech­nol­o­gy sup­ports or hin­ders par­tic­u­lar values.

Conceptual Investigations

  • Who are the direct and indi­rect stake­hold­ers affect­ed by the design at hand?
  • How are both class­es of stake­hold­ers affected?
  • What val­ues are implicated?
  • How should we engage in trade-offs among com­pet­ing val­ues in the design, imple­men­ta­tion, and use of infor­ma­tion sys­tems (e.g., auton­o­my vs. secu­ri­ty, or anonymi­ty vs. trust)?
  • Should moral val­ues (e.g., a right to pri­va­cy) have greater weight than, or even trump, non-moral val­ues (e.g., aes­thet­ic preferences)?

Empirical Investigations

  • How do stake­hold­ers appre­hend indi­vid­ual val­ues in the inter­ac­tive context?
  • How do they pri­ori­tise com­pet­ing val­ues in design trade-offs?
  • How do they pri­ori­tise indi­vid­ual val­ues and usabil­i­ty considerations?
  • Are there dif­fer­ences between espoused prac­tice (what peo­ple say) com­pared with actu­al prac­tice (what peo­ple do)?

And, specif­i­cal­ly focus­ing on organisations:

  • What are organ­i­sa­tions’ moti­va­tions, meth­ods of train­ing and dis­sem­i­na­tion, reward struc­tures, and eco­nom­ic incentives?

Technical Investigations

Not a list of ques­tions here, but some notes:

Val­ue Sen­si­tive Design takes the posi­tion that tech­nolo­gies in gen­er­al, and infor­ma­tion and com­put­er tech­nolo­gies in par­tic­u­lar, have prop­er­ties that make them more or less suit­able for cer­tain activ­i­ties. A giv­en tech­nol­o­gy more read­i­ly sup­ports cer­tain val­ues while ren­der­ing oth­er activ­i­ties and val­ues more dif­fi­cult to realise.

Tech­ni­cal inves­ti­ga­tions involve the proac­tive design of sys­tems to sup­port val­ues iden­ti­fied in the con­cep­tu­al investigation.

Tech­ni­cal inves­ti­ga­tions focus on the tech­nol­o­gy itself. Empir­i­cal inves­ti­ga­tions focus on the indi­vid­u­als, groups, or larg­er social sys­tems that con­fig­ure, use, or are oth­er­wise affect­ed by the technology. 

Significance

Below is a list of things that make Val­ue Sen­si­tive Design dif­fer­ent from oth­er approach­es, par­tic­u­lar­ly ones that pre­ced­ed it such as Com­put­er-Sup­port­ed Coop­er­a­tive Work and Par­tic­i­pa­to­ry Design.

  1. Val­ue Sen­si­tive Design seeks to be proac­tive
  2. Val­ue Sen­si­tive Design enlarges the are­na in which val­ues arise to include not only the work place
  3. Val­ue Sen­si­tive Design con­tributes a unique method­ol­o­gy that employs con­cep­tu­al, empir­i­cal, and tech­ni­cal inves­ti­ga­tions, applied iter­a­tive­ly and integratively
  4. Val­ue Sen­si­tive Design enlarges the scope of human val­ues beyond those of coop­er­a­tion (CSCW) and par­tic­i­pa­tion and democ­ra­cy (Par­tic­i­pa­to­ry Design) to include all val­ues, espe­cial­ly those with moral import.
  5. Val­ue Sen­si­tive Design dis­tin­guish­es between usabil­i­ty and human val­ues with eth­i­cal import.
  6. Val­ue Sen­si­tive Design iden­ti­fies and takes seri­ous­ly two class­es of stake­hold­ers: direct and indirect.
  7. Val­ue Sen­si­tive Design is an inter­ac­tion­al theory
  8. Val­ue Sen­si­tive Design builds from the psy­cho­log­i­cal propo­si­tion that cer­tain val­ues are uni­ver­sal­ly held, although how such val­ues play out in a par­tic­u­lar cul­ture at a par­tic­u­lar point in time can vary considerably

[ad 4] “By moral, we refer to issues that per­tain to fair­ness, jus­tice, human wel­fare and virtue, […] Val­ue Sen­si­tive Design also accounts for con­ven­tions (e.g., stan­dard­i­s­a­tion of pro­to­cols) and per­son­al values”

[ad 5] “Usabil­i­ty refers to char­ac­ter­is­tics of a sys­tem that make it work in a func­tion­al sense, […] not all high­ly usable sys­tems sup­port eth­i­cal values”

[ad 6] “Often, indi­rect stake­hold­ers are ignored in the design process.”

[ad 7] “val­ues are viewed nei­ther as inscribed into tech­nol­o­gy (an endoge­nous the­o­ry), nor as sim­ply trans­mit­ted by social forces (an exoge­nous the­o­ry). […] the inter­ac­tion­al posi­tion holds that while the fea­tures or prop­er­ties that peo­ple design into tech­nolo­gies more read­i­ly sup­port cer­tain val­ues and hin­der oth­ers, the technology’s actu­al use depends on the goals of the peo­ple inter­act­ing with it. […] through human inter­ac­tion, tech­nol­o­gy itself changes over time.”

[ad 8] “the more con­crete­ly (act-based) one con­cep­tu­alis­es a val­ue, the more one will be led to recog­nis­ing cul­tur­al vari­a­tion; con­verse­ly, the more abstract­ly one con­cep­tu­alis­es a val­ue, the more one will be led to recog­nis­ing universals”

How-To

Val­ue Sen­si­tive Design doesn’t pre­scribe a par­tic­u­lar process, which is fine by me, because I believe strong­ly in tai­lor­ing your process to the par­tic­u­lar project at hand. Part of being a thought­ful design­er is design­ing a project’s process as well. How­ev­er, some guid­ance is offered for how to pro­ceed in most cas­es. Here’s a list, plus some notes.

  1. Start with a val­ue, tech­nol­o­gy, or con­text of use
  2. Iden­ti­fy direct and indi­rect stakeholders
  3. Iden­ti­fy ben­e­fits and harms for each stake­hold­er group
  4. Map ben­e­fits and harms onto cor­re­spond­ing values
  5. Con­duct a con­cep­tu­al inves­ti­ga­tion of key values
  6. Iden­ti­fy poten­tial val­ue conflicts
  7. Inte­grate val­ue con­sid­er­a­tions into one’s organ­i­sa­tion­al structure

[ad 1] “We sug­gest start­ing with the aspect that is most cen­tral to your work and interests.” 

[ad 2] “direct stake­hold­ers are those indi­vid­u­als who inter­act direct­ly with the tech­nol­o­gy or with the technology’s out­put. Indi­rect stake­hold­ers are those indi­vid­u­als who are also impact­ed by the sys­tem, though they nev­er inter­act direct­ly with it. […] With­in each of these two over­ar­ch­ing cat­e­gories of stake­hold­ers, there may be sev­er­al sub­groups. […] A sin­gle indi­vid­ual may be a mem­ber of more than one stake­hold­er group or sub­group. […] An organ­i­sa­tion­al pow­er struc­ture is often orthog­o­nal to the dis­tinc­tion between direct and indi­rect stakeholders.”

[ad 3] “one rule of thumb in the con­cep­tu­al inves­ti­ga­tion is to give pri­or­i­ty to indi­rect stake­hold­ers who are strong­ly affect­ed, or to large groups that are some­what affect­ed […] Attend to issues of tech­ni­cal, cog­ni­tive, and phys­i­cal com­pe­ten­cy. […] per­sonas have a ten­den­cy to lead to stereo­types because they require a list of “social­ly coher­ent” attrib­ut­es to be asso­ci­at­ed with the “imag­ined indi­vid­ual.” […] we have devi­at­ed from the typ­i­cal use of per­sonas that maps a sin­gle per­sona onto a sin­gle user group, to allow for a sin­gle per­sona to map onto to mul­ti­ple stake­hold­er groups”

[ad 4] “In some cas­es, the cor­re­spond­ing val­ues will be obvi­ous, but not always.”

[ad 5] “the philo­soph­i­cal onto­log­i­cal lit­er­a­ture can help pro­vide cri­te­ria for what a val­ue is, and there­by how to assess it empirically.”

[ad 6] “val­ue con­flicts should usu­al­ly not be con­ceived of as “either/or” sit­u­a­tions, but as con­straints on the design space.”

[ad 7] “In the real world, of course, human val­ues (espe­cial­ly those with eth­i­cal import) may col­lide with eco­nom­ic objec­tives, pow­er, and oth­er fac­tors. How­ev­er, even in such sit­u­a­tions, Val­ue Sen­si­tive Design should be able to make pos­i­tive con­tri­bu­tions, by show­ing alter­nate designs that bet­ter sup­port endur­ing human values.”

Considering Values

Human values with ethical import often implicated in system design
Human val­ues with eth­i­cal import often impli­cat­ed in sys­tem design

This table is a use­ful heuris­tic tool for val­ues that might be con­sid­ered. The authors note that it is not intend­ed as a com­plete list of human val­ues that might be impli­cat­ed. Anoth­er more elab­o­rate tool of a sim­i­lar sort are the Envi­sion­ing Cards.

For the ethics nerds, it may be inter­est­ing to note that most of the val­ues in this table hinge on the deon­to­log­i­cal and con­se­quen­tial­ist moral ori­en­ta­tions. In addi­tion, the authors have chose sev­er­al oth­er val­ues relat­ed to sys­tem design.

Interviewing Stakeholders

When doing the empir­i­cal inves­ti­ga­tions you’ll prob­a­bly rely on stake­hold­er inter­views quite heav­i­ly. Stake­hold­er inter­views shouldn’t be a new thing to any design pro­fes­sion­al worth their salt. But the authors do offer some prac­ti­cal point­ers to keep in mind.

First of all, keep the inter­view some­what open-end­ed. This means con­duct­ing a semi-struc­tured inter­view. This will allow you to ask the things you want to know, but also cre­ates the oppor­tu­ni­ty for new and unex­pect­ed insights to emerge. 

Laddering—repeatedly ask­ing the ques­tion “Why?” can get you quite far.

The most impor­tant thing, before inter­view­ing stake­hold­ers, is to have a good under­stand­ing of the sub­ject at hand. Demar­cate it using cri­te­ria that can be explained to out­siders. Use descrip­tions of issues or tasks for par­tic­i­pants to engage in, so that the sub­ject of the inves­ti­ga­tion becomes more concrete. 

Technical Investigations

Two things I find inter­est­ing here. First of all, we are encour­aged to map the rela­tion­ship between design trade-offs, val­ue con­flicts and stake­hold­er groups. The goal of this exer­cise is to be able to see how stake­hold­er groups are affect­ed in dif­fer­ent ways.

The sec­ond use­ful sug­ges­tion for tech­ni­cal inves­ti­ga­tions is to build flex­i­bil­i­ty into a prod­uct or service’s tech­ni­cal infra­struc­ture. The rea­son for this is that over time, new val­ues and val­ue con­flicts can emerge. As design­ers we are not always around any­more once a sys­tem is deployed so it is good prac­tice to enable the stake­hold­ers to adapt our design to their evolv­ing needs. (I was very much remind­ed of the approach advo­cat­ed by Stew­art Brand in How Build­ings Learn.)

Conclusion

When dis­cussing mat­ters of ethics in design with peers I often notice a reluc­tance to widen the scope of our prac­tice to include these issues. Fre­quent­ly, folks argue that since it is impos­si­ble to fore­see all the poten­tial con­se­quences of design choic­es, we can’t pos­si­bly be held account­able for all the ter­ri­ble things that can hap­pen as a result of a new tech­nol­o­gy being intro­duced into society.

I think that’s a mis­un­der­stand­ing of what eth­i­cal design is about. We may not always be direct­ly respon­si­ble for the con­se­quences of our design (both good and bad). But we are respon­si­ble for what we choose to make part of our con­cerns as we prac­tice design. This should include the val­ues con­sid­ered impor­tant by the peo­ple impact­ed by our designs. 

In the 1996 arti­cle men­tioned at the start of this post, Fried­man con­cludes as follows:

As with the tra­di­tion­al cri­te­ria of reli­a­bil­i­ty, effi­cien­cy, and cor­rect­ness, we do not require per­fec­tion in val­ue-sen­si­tive design, but a com­mit­ment. And progress.” (Fried­man 1996)

I think that is an apt place to end it here as well.

References

  • Fried­man, Batya. “Val­ue-sen­si­tive design.” inter­ac­tions 3.6 (1996): 16–23.
  • Fried­man, Batya, Peter Kahn, and Alan Born­ing. “Val­ue sen­si­tive design: The­o­ry and meth­ods.” Uni­ver­si­ty of Wash­ing­ton tech­ni­cal report (2002): 02–12.
  • Le Dan­tec, Christo­pher A., Eri­ka She­han Poole, and Susan P. Wyche. “Val­ues as lived expe­ri­ence: evolv­ing val­ue sen­si­tive design in sup­port of val­ue dis­cov­ery.” Pro­ceed­ings of the SIGCHI con­fer­ence on human fac­tors in com­put­ing sys­tems. ACM, 2009.
  • Born­ing, Alan, and Michael Muller. “Next steps for val­ue sen­si­tive design.” Pro­ceed­ings of the SIGCHI con­fer­ence on human fac­tors in com­put­ing sys­tems. ACM, 2012.
  • Frei­d­man, B., P. Kahn, and A. Born­ing. “Val­ue sen­si­tive design and infor­ma­tion sys­tems.” Human–computer inter­ac­tion in man­age­ment infor­ma­tion sys­tems: Foun­da­tions (2006): 348–372.

Books I’ve read in 2017

Return­ing to what is some­thing of an annu­al tra­di­tion, these are the books I’ve read in 2017. I set myself the goal of get­ting to 36 and man­aged 38 in the end. They’re list­ed below with some com­men­tary on par­tic­u­lar­ly mem­o­rable or oth­er­wise note­wor­thy reads. To make things a bit more user friend­ly I’ve gone with four broad buck­ets although as you’ll see with­in each the picks range across gen­res and subjects.

Fiction

I always have one piece of fic­tion or nar­ra­tive non-fic­tion going. I have a long-stand­ing ‘project’ of read­ing cult clas­sics. I can’t set­tle on a top pick for the first cat­e­go­ry so it’s going to have to be a tie between Lowry’s alco­hol-drenched tale of lost love in pre-WWII Mex­i­co, and Salter’s unmatched lyri­cal prose treat­ment of a young couple’s liaisons as imag­ined by a lech­er­ous recluse in post-WWII France.

When I feel like some­thing lighter I tend to seek out sci-fi writ­ten from before I was born. (Con­tem­po­rary sci-fi more often than not dis­ap­points me with its lack of imag­i­na­tion, or worse, nos­tal­gia for futures past. I’m look­ing at you, Cline.) My top pick here would be the Stru­gatsky broth­ers, who blew me away with their weird tale of a world for­ev­er changed by the inex­plic­a­ble vis­it by some­thing tru­ly alien.

I’ve also con­tin­ued to seek out works by women, although I’ve been less strict with myself in this depart­ment than pre­vi­ous years. Here I’m ashamed to admit it took me this long to final­ly read any­thing by Woolf because Mrs Dal­loway is every bit as good as they say it is. I rec­om­mend seek­ing out the anno­tat­ed Pen­guin addi­tion for addi­tion­al insights into the many things she references.

I’ve also some­times picked up a new­er book because it popped up on my radar and I was just real­ly excit­ed about read­ing it. Most notably Dolan’s retelling of the Ili­ad in all its glo­ri­ous, sad and gory detail, updat­ed for today’s sensibilities.

Literary non-fiction

Each time I read a nar­ra­tive treat­ment of his­to­ry or cur­rent affairs I feel like I should be doing more of it. All of these are rec­om­mend­ed but Kapuś­cińs­ki tow­ers over all with his heart-wrench­ing first-per­son account of the Iran­ian revolution.

Non-fiction

A few books on design and tech­nol­o­gy here, although most of my ‘pro­fes­sion­al’ read­ing was con­fined to aca­d­e­m­ic papers this year. I find those to be a more effec­tive way of get­ting a han­dle on a par­tic­u­lar sub­ject. Books pub­lished on my méti­er are noto­ri­ous­ly fluffy. I’ll point out Löw­gren for a tough but reward­ing read on how to do inter­ac­tion design in a non-dog­mat­ic but reflec­tive way.

I got into left­ist pol­i­tics quite heav­i­ly this year and tried to edu­cate myself a bit on con­tem­po­rary anti-cap­i­tal­ist think­ing. Fisher’s book is a most inter­est­ing and also amus­ing diag­no­sis of the cur­rent polit­i­cal and eco­nom­ic world sys­tem through a cul­tur­al lens. It’s a shame he’s no longer with us, I won­der what he would have made of recent events.

Game books

I decid­ed to work my way through a bunch of role­play­ing game books all ‘pow­ered by the apoc­a­lypse’ – a fam­i­ly of games which I have been aware of for quite a while but haven’t had the oppor­tu­ni­ty to play myself. I like read­ing these because I find them odd­ly inspi­ra­tional for pro­fes­sion­al pur­pos­es. But I will point to the orig­i­nal Apoc­a­lypse World as the one must-read as Bak­er remains one of the design­ers I am absolute­ly in awe of for the ways in which he man­ages to com­bine sys­tem and fic­tion in tru­ly inven­tive ways.

  • The Per­ilous Wilds, Jason Lutes
  • Urban Shad­ows: Polit­i­cal Urban Fan­ta­sy Pow­ered by the Apoc­a­lypse, Andrew Medeiros
  • Dun­geon World, Sage LaTorra
  • Apoc­a­lypse World, D. Vin­cent Baker

Poetry

I don’t usu­al­ly read poet­ry for rea­sons sim­i­lar to how I basi­cal­ly stopped read­ing comics ear­li­er: I can’t seem to find a good way of dis­cov­er­ing worth­while things to read. The col­lec­tion below was a gift, and a delight­ful one.

As always, I wel­come sug­ges­tions for what to read next. I’m shoot­ing for 36 again this year and plan to pro­ceed rough­ly as I’ve been doing lately—just mean­der from book to book with a bias towards works that are non-anglo, at least as old as I am, and prefer­ably weird or inventive. 

Pre­vi­ous years: 2016, 2015, 2011, 2009.