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
940
0
Share
NYPL Labs @ Wiki ♡ Maps 2015
NYPL Labs @ Wiki ♡ Maps 2015
Helsinki, Finland, February 5, 2015
Mauricio Giraldo
February 05, 2015
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
380
From food to buildings and beyond: what happens when a library opens its digital collections to human-computer collaboration
mgiraldo
2
210
Aprendizajes de trabajo en bibliotecas digitales
mgiraldo
0
180
building inspector
mgiraldo
0
110
Talk at the NYU ITP Data Art class / Spring 2017
mgiraldo
0
190
Humanidades Digitales en los laboratorios de la Biblioteca Pública de New York
mgiraldo
0
120
FOSS4G Nara/Tokyo
mgiraldo
0
2.1k
Human-Computer Collaboration at NYPL Labs
mgiraldo
2
500
NYPL Labs @ Eyeo Festival 2015
mgiraldo
1
790
Other Decks in Technology
See All in Technology
AIガバナンス実践 - 生成AIコネクタのデータ漏洩リスクと実務対策
knishioka
0
180
生成 AI × MCP で切り拓く次世代 SRE!自律型運用への挑戦と開発者体験の進化
_awache
0
140
最低限これだけ押さえれ大丈夫_Claude Enterprise/Team企業展開ガバナンス入門
tkikuchi
1
760
TypeScript Compiler APIとPHP-Parserを活用し、TypeScriptとPHPで型を共有する
shuta13
0
350
Dynamic Workersについて
yusukebe
2
580
React、まだ楽しくて草
uhyo
7
4k
Databricks における 生成AIガバナンスの実践
taka_aki
1
300
AIを「創る」と「使う」の循環 — HRテックが実践するリアルなAI組織実装
taketo957
0
1.4k
Cloud Run のアップデート 触ってみる&紹介
gre212
0
300
Mastering Ruby Box
tagomoris
3
150
[モダンアプリ勉強会]今更聞けないGit/GitHub入門
tsukuboshi
0
240
Platform Engineering as a Product: Criteria for Improvement and Multi-Tenant Design
kumorn5s
0
490
Featured
See All Featured
How to Grow Your eCommerce with AI & Automation
katarinadahlin
PRO
1
200
Odyssey Design
rkendrick25
PRO
2
680
The Curious Case for Waylosing
cassininazir
1
370
30 Presentation Tips
portentint
PRO
1
310
Making Projects Easy
brettharned
120
6.7k
Scaling GitHub
holman
464
140k
Visualization
eitanlees
152
17k
Marketing to machines
jonoalderson
1
5.3k
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.5k
Music & Morning Musume
bryan
47
7.2k
Data-driven link building: lessons from a $708K investment (BrightonSEO talk)
szymonslowik
1
1.1k
Crafting Experiences
bethany
1
170
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