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NYPL Labs @ Wiki ♡ Maps 2015
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Mauricio Giraldo
February 05, 2015
Technology
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460
NYPL Labs @ Wiki ♡ Maps 2015
NYPL Labs @ Wiki ♡ Maps 2015
Helsinki, Finland, February 5, 2015
Mauricio Giraldo
February 05, 2015
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Transcript
mauricio giraldo arteaga @mgiraldo nypl labs a few things we’ve
learned so far wiki ♥ maps , helsinki, february 2015
hei
my name is mauricio
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NYPL Labs
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we’ve been at it for 3+ years
a few things we’ve learned so far
disclaimer
a few things we’ve i’ve learned so far
four things
practical
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start with a prototype
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menus.nypl.org
200k dishes in 13k menus
made the case for NYPL Labs
it started with a prototype
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“wouldn’t it be cool if…?”
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A FEW DAYS later…
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distill the task to its critical components
prototypes help determine viability
prototypes help communicate the idea
–@mikeindustries “a prototype is worth a thousand meetings”
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“great! it’s just polish now, right?”
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“polish” takes (a lot of) time
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3 months later…* *REAL NUMBER
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stereo.nypl.org
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still, three months is not that long when you’re used
to year-long projects
…and polish is good
LATER that day at 1:00AM…
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so far 47,000 images created
another “smaller” example
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took about 2 weeks
spacetime.nypl.org
A FEW HOURS later…
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a good problem to have?
also, polish can wait
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could use a redesign
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1.1 million more dishes and that’s even though we’re not
scanning menus as often
curatingmenus.org by @katie_rawson and @trevormunoz
@_BadTaste_ by @bibliotechy
polish works
“polish” is design
…but it takes time
“ok… so i just factor this in my planning”
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everything takes longer than anticipated
people are bad at making estimates* *S. Grimstada, M. Jørgensena,
2007; I. Newby-Clark, M. Ross, R. Buehler, D. Koehler, D. Griffin, 2007; V. Mahnič, T. Hovelja, 2012; and more…
(yeah, even in “agile development”)
people cannot estimate what they have not done
–@jasonfried “planning is guessing”
legacy website redesign ca. 2005
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“let’s take 90 days to redesign this”
(huge red flag)
there are always surprises usually not the good kind of
surprises
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“we have to have this feature”
18 months later…
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digitalcollections.nypl.org
start with a scope or a deadline
…but not both
don’t take too long
–@schuyler “if you're proud of your code you waited too
long to ship it”
…but take as long as it needs
…and prepare for surprises
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hackathons are starting points
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year
street names year
use type street names year
use type street names name year
material use type street names name year
material use type street names name class year
material use type street names address name class year
material use type street names address floors name class year
material use type street names address floors name class year
skylights
material use type street names address floors name class year
skylights backyards
material use type street names address floors name class geo
location year skylights backyards
footprint material use type street names address floors name class
geo location year skylights backyards
footprint material use type street names address floors name class
geo location year skylights backyards
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“wouldn’t it be cool if…?”
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can we automate this?
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FIVE WEEKS later…
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github.com/NYPL/map-vectorizer
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~80k building footprints in a day instead of years
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this resulted in a new question
“is the output any good?”
…so we did a prototype
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buildinginspector.nypl.org
2 MONTHS later…
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84%: YES 7%: FIX or about 91% good enough
we ♥ our contributors
we ♥ our contributors
…so we did more prototypes!
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1 million classifications so far! ~18 months since launch
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…and it all started in a hackathon
recap
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start with a prototype
start with a prototype polish takes time
start with a prototype polish takes time everything takes longer
than anticipated
start with a prototype polish takes time everything takes longer
than anticipated hackathons are starting points
thank you ♥ images from: NYPL digital collections - Wikimedia
Commons - Flickr user wallyg - Giphy - John Resig - Peter Leonard mauricio giraldo arteaga @mgiraldo nypl labs