Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
NYPL Labs @ Wiki ♡ Maps 2015
Search
Mauricio Giraldo
February 05, 2015
Technology
0
910
NYPL Labs @ Wiki ♡ Maps 2015
NYPL Labs @ Wiki ♡ Maps 2015
Helsinki, Finland, February 5, 2015
Mauricio Giraldo
February 05, 2015
Tweet
Share
More Decks by Mauricio Giraldo
See All by Mauricio Giraldo
Aereo: An experimental bird’s eye view of the digital collections from the State Library of New South Wales
mgiraldo
0
370
From food to buildings and beyond: what happens when a library opens its digital collections to human-computer collaboration
mgiraldo
2
190
Aprendizajes de trabajo en bibliotecas digitales
mgiraldo
0
170
building inspector
mgiraldo
0
110
Talk at the NYU ITP Data Art class / Spring 2017
mgiraldo
0
180
Humanidades Digitales en los laboratorios de la Biblioteca Pública de New York
mgiraldo
0
120
FOSS4G Nara/Tokyo
mgiraldo
0
2k
Human-Computer Collaboration at NYPL Labs
mgiraldo
2
480
NYPL Labs @ Eyeo Festival 2015
mgiraldo
1
760
Other Decks in Technology
See All in Technology
バクラクのSREにおけるAgentic AIへの挑戦/Our Journey with Agentic AI
taddy_919
1
490
バニラVisaギフトカードを棄てるのは結構大変
meow_noisy
0
160
[続・営業向け 誰でも話せるOCI セールストーク] AWSよりOCIの優位性が分からない編(2026年2月20日開催)
oracle4engineer
PRO
0
140
【2026年版】生成AIによる情報システムへのインパクト
taka_aki
0
190
三菱UFJ銀行におけるエンタープライズAI駆動開発のリアル / Enterprise AI_Driven Development at MUFG Bank: The Real Story
muit
10
20k
【PyCon mini Shizuoka 2026】生成AI時代に画像処理やオーディオ処理のノードエディターを作る理由
kazuhitotakahashi
0
200
Master Dataグループ紹介資料
sansan33
PRO
1
4.4k
All About Sansan – for New Global Engineers
sansan33
PRO
1
1.4k
Lookerの最新バージョンv26.2がやばい話
waiwai2111
1
140
研究開発部メンバーの働き⽅ / Sansan R&D Profile
sansan33
PRO
4
22k
Webアクセシビリティ技術と実装の実際
tomokusaba
0
150
AWS CDK の目玉新機能「Mixins」とは / cdk-mixins
gotok365
2
290
Featured
See All Featured
How To Speak Unicorn (iThemes Webinar)
marktimemedia
1
400
The Illustrated Children's Guide to Kubernetes
chrisshort
51
52k
A Modern Web Designer's Workflow
chriscoyier
698
190k
How to Align SEO within the Product Triangle To Get Buy-In & Support - #RIMC
aleyda
1
1.4k
Self-Hosted WebAssembly Runtime for Runtime-Neutral Checkpoint/Restore in Edge–Cloud Continuum
chikuwait
0
380
Paper Plane
katiecoart
PRO
0
47k
Agile that works and the tools we love
rasmusluckow
331
21k
B2B Lead Gen: Tactics, Traps & Triumph
marketingsoph
0
64
AI Search: Where Are We & What Can We Do About It?
aleyda
0
7.1k
sira's awesome portfolio website redesign presentation
elsirapls
0
170
Optimising Largest Contentful Paint
csswizardry
37
3.6k
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.2k
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
None
None
NYPL Labs
None
None
None
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
1
start with a prototype
None
None
None
None
None
None
None
menus.nypl.org
200k dishes in 13k menus
made the case for NYPL Labs
it started with a prototype
None
None
None
None
None
None
None
None
“wouldn’t it be cool if…?”
None
None
None
A FEW DAYS later…
None
None
distill the task to its critical components
prototypes help determine viability
prototypes help communicate the idea
–@mikeindustries “a prototype is worth a thousand meetings”
None
None
“great! it’s just polish now, right?”
2
“polish” takes (a lot of) time
None
None
3 months later…* *REAL NUMBER
None
None
stereo.nypl.org
None
None
None
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…
None
None
so far 47,000 images created
another “smaller” example
None
None
None
None
None
None
took about 2 weeks
spacetime.nypl.org
A FEW HOURS later…
None
a good problem to have?
also, polish can wait
None
None
could use a redesign
None
None
None
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”
3
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
None
None
None
“let’s take 90 days to redesign this”
(huge red flag)
there are always surprises usually not the good kind of
surprises
None
None
None
None
“we have to have this feature”
18 months later…
None
None
None
None
None
None
None
None
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
4
hackathons are starting points
None
None
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
None
“wouldn’t it be cool if…?”
None
None
can we automate this?
None
None
None
None
None
None
None
None
None
FIVE WEEKS later…
None
github.com/NYPL/map-vectorizer
None
None
~80k building footprints in a day instead of years
None
this resulted in a new question
“is the output any good?”
…so we did a prototype
None
None
None
None
buildinginspector.nypl.org
2 MONTHS later…
None
None
None
None
84%: YES 7%: FIX or about 91% good enough
we ♥ our contributors
we ♥ our contributors
…so we did more prototypes!
None
None
1 million classifications so far! ~18 months since launch
None
None
None
None
…and it all started in a hackathon
recap
None
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