Upgrade to PRO for Only $50/Year—Limited-Time Offer! 🔥
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
840
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
360
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
160
building inspector
mgiraldo
0
97
Talk at the NYU ITP Data Art class / Spring 2017
mgiraldo
0
170
Humanidades Digitales en los laboratorios de la Biblioteca Pública de New York
mgiraldo
0
110
FOSS4G Nara/Tokyo
mgiraldo
0
2k
Human-Computer Collaboration at NYPL Labs
mgiraldo
2
480
NYPL Labs @ Eyeo Festival 2015
mgiraldo
1
740
Other Decks in Technology
See All in Technology
SREには開発組織全体で向き合う
koh_naga
0
380
30分であなたをOmniのファンにしてみせます~分析画面のクリック操作をそのままコード化できるAI-ReadyなBIツール~
sagara
0
180
IAMユーザーゼロの運用は果たして可能なのか
yama3133
2
490
AWSを使う上で最低限知っておきたいセキュリティ研修を社内で実施した話 ~みんなでやるセキュリティ~
maimyyym
2
1.8k
ウェルネス SaaS × AI、1,000万ユーザーを支える 業界特化 AI プロダクト開発への道のり
hacomono
PRO
0
140
AIの長期記憶と短期記憶の違いについてAgentCoreを例に深掘ってみた
yakumo
4
440
Databricks向けJupyter Kernelでデータサイエンティストの開発環境をAI-Readyにする / Data+AI World Tour Tokyo After Party
genda
1
560
Jakarta Agentic AI Specification - Status and Future
reza_rahman
0
110
AWS Security Agentの紹介/introducing-aws-security-agent
tomoki10
0
310
プロンプトやエージェントを自動的に作る方法
shibuiwilliam
13
11k
20251219 OpenIDファウンデーション・ジャパン紹介 / OpenID Foundation Japan Intro
oidfj
0
160
AI 駆動開発勉強会 フロントエンド支部 #1 w/あずもば
1ftseabass
PRO
0
400
Featured
See All Featured
Code Reviewing Like a Champion
maltzj
527
40k
How To Speak Unicorn (iThemes Webinar)
marktimemedia
1
340
Optimizing for Happiness
mojombo
379
70k
Building an army of robots
kneath
306
46k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
132
19k
A Tale of Four Properties
chriscoyier
162
23k
Embracing the Ebb and Flow
colly
88
4.9k
Visual Storytelling: How to be a Superhuman Communicator
reverentgeek
2
390
Building a Modern Day E-commerce SEO Strategy
aleyda
45
8.3k
Skip the Path - Find Your Career Trail
mkilby
0
22
The Cost Of JavaScript in 2023
addyosmani
55
9.4k
Agile that works and the tools we love
rasmusluckow
331
21k
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