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Smart Cities,
     Open Data and SMW
                       SMWCon Spring 2012
                          Carlsbad, CA




Watch it on YouTube!
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The
                Dat    Com
                    a Ts    ing
                         unam
                              i!!!




Confidential               Copyright © 2011 MCUBE Technologies
                8
Confidential          Copyright © 2011 MCUBE Technologies
                8
Background
Citywide	
  Events	
  Calendar
Electronics	
  Stores
Parking	
  Facili7es
Sidewalk	
  Cafes
Laundry	
  Facili7es
Financial	
  Empowerment	
  Centers
IPIS	
  (Integrated	
  Property	
  Informa7on	
  System)
City	
  government	
  retrofit	
  projects
NYC	
  Civil	
  Service	
  Titles
NYC	
  Department	
  of	
  Educa7on	
  Job	
  Titles
Lis7ng	
  of	
  cultural	
  organiza7ons	
  with	
  vital	
  stats
Programs	
  Funding	
  for	
  FY2010
Land	
  cover
Reservoir	
  and	
  Dam	
  sta7s7cs
Hydrostats
TSA	
  Entertainment	
  venues
TSA	
  Food	
  and	
  Beverage	
  loca7ons
TSA	
  Hotels
TSA	
  screens
TSA	
  pedestrian	
  counts
Lincoln	
  Square	
  BID	
  Business	
  List
Museums	
  and	
  galleries
City	
  government	
  retrofit	
  projects
School	
  Point	
  Loca7ons
School	
  Zones
2009	
  School	
  Survey
2010	
  School	
  Survey
Main Goals
•   stimulate development of apps
    that improve access to info
    and govt transparency,
    and;


•   encourage innovation & the
    creation of new IP with
    commercial potential
CROWDSOURCING
CROWDSOURCING
      +
INCENTIVIZED
 COMPETITION
      =
INNOVATION
CROWDSOURCING
CROWDSOURCING

•   Challenge:
    Improve Recommendation Algorithm
    by 10%

• Dataset:
                                                      STATISTICS
 • 100 million ratings (training set)   •       just 6 days into contest,
 • Half a million Users                         Cinematch bested by 1%


 • 18 thousand movies                   •       20,000 Teams, 150 countries

                                        •       Entrants:
• Prize:                                    •     Bell Labs
    One million US Dollars
                                            •     Opera Solutions

                                            •     Well-renowned universities
CROWDSOURCING

•   Challenge:
    Improve Recommendation Algorithm
    by 10%

• Dataset:
                                                      STATISTICS
 • 100 million ratings (training set)   •       just 6 days into contest,
 • Half a million Users                         Cinematch bested by 1%


 • 18 thousand movies                   •       20,000 Teams, 150 countries

                                        •       Entrants:
• Prize:                                    •     Bell Labs
    One million US Dollars
                                            •     Opera Solutions

                                            •     Well-renowned universities
CROWDSOURCING
• Washington DC CTO - Vivek Kundra
•   First Federal CIO - Vivek Kundra

•   Open Government Initiative

    •   Recovery.gov

    •   Data.gov

    •   USAspending.gov

    •   IT Dashboard

    •   Performance.gov

    •   Fedspace

    •   Citizen Services Dashboard
•   First Federal CIO - Vivek Kundra

•   Open Government Initiative

    •   Recovery.gov

    •   Data.gov

    •   USAspending.gov

    •   IT Dashboard

    •   Performance.gov

    •   Fedspace

    •   Citizen Services Dashboard
•   First Federal CIO - Vivek Kundra

•   Open Government Initiative

    •   Recovery.gov

    •   Data.gov

    •   USAspending.gov

    •   IT Dashboard

    •   Performance.gov

    •   Fedspace

    •   Citizen Services Dashboard
•   First Federal CIO - Vivek Kundra

•   Open Government Initiative

    •   Recovery.gov

    •   Data.gov

    •   USAspending.gov

    •   IT Dashboard

    •   Performance.gov

    •   Fedspace

    •   Citizen Services Dashboard
•   First Federal CIO - Vivek Kundra

•   Open Government Initiative

    •   Recovery.gov




                          }
    •   Data.gov                     Li fe
                                 S u pp o r
                                            t
    •   USAspending.gov

    •   IT Dashboard

    •   Performance.gov

    •   Fedspace

    •   Citizen Services Dashboard
•   First Federal CIO - Vivek Kundra

           •   Open Government Initiative

               •
                  sh   ed
                   Recovery.gov




                                     }
         e t• sla           o u Li fe
                           t S pp
  B u dg          i lli on
                   Data.gov

            • m
                                   ort
       $ 34 o n    USAspending.gov

fr o m •m i l l i
       $8
                   IT Dashboard

               •   Performance.gov

               •   Fedspace

               •   Citizen Services Dashboard
Open Data in NYC




Council Member Gale Brewer
Open Data in NYC




Council Member Gale Brewer
Int. No. 29: Accessibility to Public Data Sets


    “...requires that all public data sets
    maintained by City agencies shall be made
    available on the Internet through a single
    web portal, formatted to enable viewing by
    web browsers and mobile devices and also in
    their raw or unprocessed form.”
ch and
                                      b io ni

            Principles
•   Cost Effective

•   Easy to Use (Developers/Publishers/Citizens)

•   based on Open Standards

•   Low Adoption Curve

•   Help Accelerate Open Data Innovation

•   Useable Data Now!
The Next Web of Open Linked Data
         February 2009
Useable Data Now
•   “Beautiful” Website

•   Useable by Developers/Publishers/Citizens

•   based on Open Standards

•   Low Adoption Curve

•   Help Accelerate Open Data Innovation

•   Useable Data Now!
What	
  NYCBigApps	
  Developers	
  
                                    were	
  Doing


                                             Download &
                                             Decipher


                 ETL             Text
              Processes


Siloed Data
                             •   Spend inordinate amount of time interpreting data

                             •   Massaged Data was then staged locally

                             •   Developers kept reinventing the wheel

                             •   Limited Data mashups

                             •   Applications disconnected from NYCDatamine
                                                                             42
There must be a
  Better Way
How it Started

•   Oct 12, 2010 - NYCBigApps 2.0 announced

•   Nov 9, 2010 - NYCBigApps 2.0 kickoff meeting

•   late Nov 2010 - spoke with Revelytix/Spry about
    collaborating

•   early Dec 2010 - started work on NYCDataWeb

•   Jan 26, 2011 ~4:30p - submitted entry
What	
  We	
  Did


                            Domain
                            Ontology
                                                      Query &
                                                      Results



                                                                 Cache       Optimizer
              Definitions
                                                                 Re-Writer   Planner
Siloed Data
                                                                 Indexes     Rules




                                       Re-Writer    Optimizer   Mapping
                                                                Ontology
                                       Indexes      Planner                  Rules

                                                                Metadata
                                                                Ontology
                                                                                       47
“Beautiful” Website
“Beautiful” Website
       Three dashboards were built
• NYC Agile Analytics (Spry)
• NYCreation (SMW+)
  - visualized SPARQL query results
• NYCmantics (SMW+)
  - NYC datamine explorer
What’s Next?
Phase 2
•   Integrate NYCreation    •   Make it easier for
    and NYCmantics              Citizens

•   Incorporate the whole   •   Incorporate the best of
    NYC datamine                Socrata and data.gov

•   Make it easier for      •   Position SMW+ as the
    Publishers                  accelerated data mashup
                                platform
•   Make it easier for
    Developers              •   ...powered by NYC
                                DataWeb
Phase 3
•   Open-source                   •   Make it easier STILL for
    collaboration with                Publishers, Developers
    Revelytix                         and Citizens
    (more info at SemTech 2011)

                                  •   Widespread adoption of
•   <Your city here>                  SMW/SMW+
    DataWeb
                                  •   ... keep standing on the
•   DataWeb Deployment                shoulders of giants
    Framework bundle
Phase 3
•   Open-source                   •   Make it easier STILL for
    collaboration with                Publishers, Developers
    Revelytix                         and Citizens
    (more info at SemTech 2011)

                                  •   Widespread adoption of
•   <Your city here>                  SMW/SMW+
    DataWeb
                                  •   ... keep standing on the
•   DataWeb Deployment                shoulders of giants
    Framework bundle
Phase 3
•   Open-source                   •   Make it easier STILL for
    collaboration with                Publishers, Developers
    Revelytix                         and Citizens
    (more info at SemTech 2011)

                                  •   Widespread adoption of
•   <Your city here>                  SMW/SMW+
    DataWeb
                                  •   ... keep standing on the
•   DataWeb Deployment                shoulders of giants
    Framework bundle
The Genesis of
            Ontodia
•   Oct 4, 2011 - “Find your next Startup Partner”
    meetup - NYEBN

•   Oct 5, 2011 - Steve Jobs dies

•   Oct 11, 2011 - NYCBigApps 3.0 announced

•   Oct 17, 2011 - Joel leaves TCG

•   Oct 25, 2011 - Ontodia, LLC formed
Your time is limited. Don’t
     waste your time living
       someone else’s life.
We’re here to put a dent in
  the universe. Otherwise,
        why even be here?
Computers for the 
       rest of us.
Semantics for the 
      rest of us.
D8 Conference - Steve Jobs Interview
           June 1, 2010
CROWDKNOWING




                     Human-powered,
                  Machine-accelerated,
        Collective Knowledge Systems
“Smart” Cities brand of Ontodia
"Over	
  the	
  next	
  decade,	
  cities	
  will	
  continue	
  to	
  grow	
  larger	
  
at	
  a	
  rapid	
  pace.	
  At	
  the	
  same	
  time,	
  new	
  technologies	
  will	
  
unlock	
  massive	
  streams	
  of	
  data	
  about	
  cities	
  and	
  their	
  
residents.	
  As	
  these	
  forces	
  collide,	
  they	
  will	
  turn	
  every	
  city	
  
into	
  a	
  unique	
  civic	
  laboratory—a	
  place	
  where	
  technology	
  
is	
  adapted	
  in	
  novel	
  ways	
  to	
  meet	
  local	
  needs."	
  

                       December	
  2010.	
  	
  Institute	
  of	
  the	
  Future's	
  2020	
  Forecast	
  –	
  
                                   The	
  Future	
  of	
  Cities,	
  Information	
  and	
  Inclusion.	
  
Ci4es:
Worldwide,	
  city	
  leaders	
  and	
  managers	
  need	
  cost-­‐effective	
  &	
  smart	
  solutions
  Popula'on	
  Growth:
     -­‐ 221	
  cities	
  globally	
  with	
  more	
  than	
  1	
  million	
  citizens
       -­‐	
  China	
  will	
  move	
  300	
  million	
  people	
  to	
  cities	
  by	
  2020
       -­‐	
  90%	
  of	
  these	
  cities	
  are	
  in	
  emerging	
  markets
       -­‐	
  In	
  2008,	
  more	
  people	
  lived	
  in	
  cities	
  (3.3	
  billion),	
  by	
  2030,	
  5	
  billion
       -­‐ Cities	
  are	
  more	
  efJicient	
  and	
  have	
  less	
  environmental	
  impact
  Cost	
  of	
  City	
  Services:
  Aging	
  infrastructure,	
  resource	
  constraints	
  &	
  waste
     -­‐ Washington	
  DC’s	
  water	
  system	
  has	
  elements	
  that	
  date	
  to	
  the	
  Civil	
  War
       -­‐ InefJiciency,	
  leaks	
  and	
  waste	
  rival	
  maintenance	
  and	
  expansion	
  costs


                 source:	
  Gartner	
  –	
  Is	
  Smart	
  Cities	
  the	
  Next	
  Big	
  Market?	
  	
  March	
  2011
Why NYC?
•   City Population:             •   Gross Metropolitan Product:
    8.1 million (2010 Census)        USD $ 1.28 Trillion
                                     (Greyhill Advisors)
•   Metro NYC Population:
    18.9 million (2010 Census)   •   DOITT annual budget:
                                     USD $325 million
•   City Density:
    10,630/km2 (2010 Census)     •   ~120 City Agencies/
                                     Departments, each with
•   Metro NYC Density:               multiple datasources and
                                     standards
    1,085.7/km2 (2010 Census)

•   50 million visitors a year   •   Second only to Silicon Valley for
                                     most startups
Why NYC?
•   Jan 24, 2011 - First Chief Digital Officer Appointed

•   May 16, 2011 - NYC Digital Roadmap released

•   Dec 19, 2011 - Cornell University-Technion-Israel
    Institute of Technology announced

•   Mar 7, 2012 - NYC Open Data Bill passed

•   April 17, 2012 - NYC Open Data Standards wiki
    launched

•   April 17, 2012 - NYCBigApps 3.0 awards ceremony
ROAD MAP FOR THE


DIGITAL
CITY
                                           ACHIEVING
                                           NEW YORK
                                           CITY’S
                                           DIGITAL
                                           FUTURE
      the city of new york • spring 2011
ROAD MAP FOR THE


DIGITAL
CITY
                                           ACHIEVING
                                           NEW YORK
                                           CITY’S
                                           DIGITAL
                                           FUTURE
      the city of new york • spring 2011
ROAD MAP FOR THE


DIGITAL
CITY
                                           ACHIEVING
                                           NEW YORK
                                           CITY’S
                                           DIGITAL
                                           FUTURE
      the city of new york • spring 2011
ROAD MAP FOR THE


       DIGITAL
       CITY
                                                  ACHIEVING
                                                  NEW YORK
                                                  CITY’S
                                                  DIGITAL
                                                  FUTURE
             the city of new york • spring 2011




NYC
Open
Data
ROAD MAP FOR THE


   DIGITAL
   CITY
                                              ACHIEVING
                                              NEW YORK
                                              CITY’S
                                              DIGITAL
                                              FUTURE
         the city of new york • spring 2011




NYC
Open
Data
ROAD MAP FOR THE




                                                                 Linked
          DIGITAL
          CITY
                                                     ACHIEVING
                                                     NEW YORK
                                                     CITY’S
                                                     DIGITAL
                                                     FUTURE
                the city of new york • spring 2011




APIs                                                              Data
       NYC
       Open
        ???
       Data
Developers,
        Businesses,
       Citizens, etc.
                 ROAD MAP FOR THE




                                                                        Linked
                 DIGITAL
                 CITY
                                                            ACHIEVING
                                                            NEW YORK
                                                            CITY’S
                                                            DIGITAL
                                                            FUTURE
                       the city of new york • spring 2011




APIs                                                                     Data
            NYC
            Open
             ???
            Data
Supercalifragilistic-
exponentially
HUGE OPEN DATA!!!
0. Huge Open Data
1. Extract Metadata

2. Derive ExtraMetadata
  (Semantics + Statistics + Algorithm + Crowd)


3. Do Federated Queries on both the
   Metadata AND the Data



Crowdknowing
Crowdknowing
Human-powered, Machine-accelerated,
   Collective Knowledge Systems
Crowdknowing
     Human-powered, Machine-accelerated,
        Collective Knowledge Systems




                                   Ontology, Inferencing, Semantic
   Curation, Comments,
                                 Mapping, Query Federation, Statistics,
  Feedback, Bug Reports,
                                   Pattern Recognition, Multivariate
Likes, Shares, Profile, Votes,
                                  Analysis & Forecasting, Automated
    Subscribes, Tagging,
                                     linking, Feeds, Notifications
        etc. etc. etc.
                                             etc. etc. etc.
...is primarily an
Open Data Developer resource
Hans Rosling
Shows the best stats you've ever seen
            February 2006
... that “Search Function”
and something for the everyday user
New York > Manhattan > Midtown > Times Square > 42nd Street


                                   What do you want?


     Top Gluten-free Restaurants

     Eat for less than $10

     Discount Broadway Tickets

    Item 4
    Michelin-rated restaurants

     Events in the next hour




        Tourist        Resident        Business        Developer   Government
Semantic
Web
PUBLIC
We need your help & feedback




     A Smart Data Exchange for All Data NYC

              Find out more at
      http://nyc.pediacities.com/facets
CREDITS
•   Lego Faceparty picture by RichardAM (http://www.richard-am.net/)
•   Lego Inauguration Pictures from various Flickr Users (sluggobear, Atwater,
    Dan Hontz)
•   Lego Luke looses his Hand by Flickr user wwwayazdotcom
•   Tim Berners-Lee highlight from TED (http://www.ted.com/talks/
    tim_berners_lee_on_the_next_web.html)
•   Hans Rosling highlight from TED (http://www.ted.com/talks/
    hans_rosling_shows_the_best_stats_you_ve_ever_seen.html)
•   FlowerPowerpont2.pptx provided by Anna Rosling Rönnlund of gapminder
•   several images taken from NYC.gov properties
•   Various screenshots provided by Revelytix, Spry Inc. and TCG Software
    Services

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Smart Cities, Open Data and SMW - SMWCon Spring 2012 Keynote

  • 1. Smart Cities, Open Data and SMW SMWCon Spring 2012 Carlsbad, CA Watch it on YouTube!
  • 2.
  • 3.
  • 4.
  • 15.
  • 16.
  • 17. The Dat Com a Ts ing unam i!!! Confidential  Copyright © 2011 MCUBE Technologies 8
  • 18. Confidential  Copyright © 2011 MCUBE Technologies 8
  • 19.
  • 21.
  • 22.
  • 23. Citywide  Events  Calendar Electronics  Stores Parking  Facili7es Sidewalk  Cafes Laundry  Facili7es Financial  Empowerment  Centers IPIS  (Integrated  Property  Informa7on  System) City  government  retrofit  projects NYC  Civil  Service  Titles NYC  Department  of  Educa7on  Job  Titles Lis7ng  of  cultural  organiza7ons  with  vital  stats Programs  Funding  for  FY2010
  • 24. Land  cover Reservoir  and  Dam  sta7s7cs Hydrostats TSA  Entertainment  venues TSA  Food  and  Beverage  loca7ons TSA  Hotels TSA  screens TSA  pedestrian  counts Lincoln  Square  BID  Business  List Museums  and  galleries City  government  retrofit  projects School  Point  Loca7ons School  Zones 2009  School  Survey 2010  School  Survey
  • 25. Main Goals • stimulate development of apps that improve access to info and govt transparency, and; • encourage innovation & the creation of new IP with commercial potential
  • 26.
  • 27.
  • 29. CROWDSOURCING + INCENTIVIZED COMPETITION = INNOVATION
  • 31. CROWDSOURCING • Challenge: Improve Recommendation Algorithm by 10% • Dataset: STATISTICS • 100 million ratings (training set) • just 6 days into contest, • Half a million Users Cinematch bested by 1% • 18 thousand movies • 20,000 Teams, 150 countries • Entrants: • Prize: • Bell Labs One million US Dollars • Opera Solutions • Well-renowned universities
  • 32. CROWDSOURCING • Challenge: Improve Recommendation Algorithm by 10% • Dataset: STATISTICS • 100 million ratings (training set) • just 6 days into contest, • Half a million Users Cinematch bested by 1% • 18 thousand movies • 20,000 Teams, 150 countries • Entrants: • Prize: • Bell Labs One million US Dollars • Opera Solutions • Well-renowned universities
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39. • Washington DC CTO - Vivek Kundra
  • 40. First Federal CIO - Vivek Kundra • Open Government Initiative • Recovery.gov • Data.gov • USAspending.gov • IT Dashboard • Performance.gov • Fedspace • Citizen Services Dashboard
  • 41. First Federal CIO - Vivek Kundra • Open Government Initiative • Recovery.gov • Data.gov • USAspending.gov • IT Dashboard • Performance.gov • Fedspace • Citizen Services Dashboard
  • 42. First Federal CIO - Vivek Kundra • Open Government Initiative • Recovery.gov • Data.gov • USAspending.gov • IT Dashboard • Performance.gov • Fedspace • Citizen Services Dashboard
  • 43. First Federal CIO - Vivek Kundra • Open Government Initiative • Recovery.gov • Data.gov • USAspending.gov • IT Dashboard • Performance.gov • Fedspace • Citizen Services Dashboard
  • 44. First Federal CIO - Vivek Kundra • Open Government Initiative • Recovery.gov } • Data.gov Li fe S u pp o r t • USAspending.gov • IT Dashboard • Performance.gov • Fedspace • Citizen Services Dashboard
  • 45. First Federal CIO - Vivek Kundra • Open Government Initiative • sh ed Recovery.gov } e t• sla o u Li fe t S pp B u dg i lli on Data.gov • m ort $ 34 o n USAspending.gov fr o m •m i l l i $8 IT Dashboard • Performance.gov • Fedspace • Citizen Services Dashboard
  • 46.
  • 47.
  • 48. Open Data in NYC Council Member Gale Brewer
  • 49. Open Data in NYC Council Member Gale Brewer
  • 50.
  • 51. Int. No. 29: Accessibility to Public Data Sets “...requires that all public data sets maintained by City agencies shall be made available on the Internet through a single web portal, formatted to enable viewing by web browsers and mobile devices and also in their raw or unprocessed form.”
  • 52.
  • 53. ch and b io ni Principles • Cost Effective • Easy to Use (Developers/Publishers/Citizens) • based on Open Standards • Low Adoption Curve • Help Accelerate Open Data Innovation • Useable Data Now!
  • 54. The Next Web of Open Linked Data February 2009
  • 55. Useable Data Now • “Beautiful” Website • Useable by Developers/Publishers/Citizens • based on Open Standards • Low Adoption Curve • Help Accelerate Open Data Innovation • Useable Data Now!
  • 56. What  NYCBigApps  Developers   were  Doing Download & Decipher ETL Text Processes Siloed Data • Spend inordinate amount of time interpreting data • Massaged Data was then staged locally • Developers kept reinventing the wheel • Limited Data mashups • Applications disconnected from NYCDatamine 42
  • 57. There must be a Better Way
  • 58. How it Started • Oct 12, 2010 - NYCBigApps 2.0 announced • Nov 9, 2010 - NYCBigApps 2.0 kickoff meeting • late Nov 2010 - spoke with Revelytix/Spry about collaborating • early Dec 2010 - started work on NYCDataWeb • Jan 26, 2011 ~4:30p - submitted entry
  • 59.
  • 60.
  • 61. What  We  Did Domain Ontology Query & Results Cache Optimizer Definitions Re-Writer Planner Siloed Data Indexes Rules Re-Writer Optimizer Mapping Ontology Indexes Planner Rules Metadata Ontology 47
  • 63. “Beautiful” Website Three dashboards were built • NYC Agile Analytics (Spry) • NYCreation (SMW+) - visualized SPARQL query results • NYCmantics (SMW+) - NYC datamine explorer
  • 64.
  • 65.
  • 66.
  • 67.
  • 68.
  • 69.
  • 70.
  • 71.
  • 72.
  • 73.
  • 74.
  • 75.
  • 76.
  • 77.
  • 78.
  • 79.
  • 80.
  • 81.
  • 82.
  • 83.
  • 85. Phase 2 • Integrate NYCreation • Make it easier for and NYCmantics Citizens • Incorporate the whole • Incorporate the best of NYC datamine Socrata and data.gov • Make it easier for • Position SMW+ as the Publishers accelerated data mashup platform • Make it easier for Developers • ...powered by NYC DataWeb
  • 86. Phase 3 • Open-source • Make it easier STILL for collaboration with Publishers, Developers Revelytix and Citizens (more info at SemTech 2011) • Widespread adoption of • <Your city here> SMW/SMW+ DataWeb • ... keep standing on the • DataWeb Deployment shoulders of giants Framework bundle
  • 87. Phase 3 • Open-source • Make it easier STILL for collaboration with Publishers, Developers Revelytix and Citizens (more info at SemTech 2011) • Widespread adoption of • <Your city here> SMW/SMW+ DataWeb • ... keep standing on the • DataWeb Deployment shoulders of giants Framework bundle
  • 88. Phase 3 • Open-source • Make it easier STILL for collaboration with Publishers, Developers Revelytix and Citizens (more info at SemTech 2011) • Widespread adoption of • <Your city here> SMW/SMW+ DataWeb • ... keep standing on the • DataWeb Deployment shoulders of giants Framework bundle
  • 89. The Genesis of Ontodia • Oct 4, 2011 - “Find your next Startup Partner” meetup - NYEBN • Oct 5, 2011 - Steve Jobs dies • Oct 11, 2011 - NYCBigApps 3.0 announced • Oct 17, 2011 - Joel leaves TCG • Oct 25, 2011 - Ontodia, LLC formed
  • 90.
  • 91. Your time is limited. Don’t waste your time living someone else’s life.
  • 92. We’re here to put a dent in the universe. Otherwise, why even be here?
  • 93. Computers for the  rest of us.
  • 94. Semantics for the  rest of us.
  • 95. D8 Conference - Steve Jobs Interview June 1, 2010
  • 96.
  • 97.
  • 98. CROWDKNOWING Human-powered, Machine-accelerated, Collective Knowledge Systems
  • 100.
  • 101. "Over  the  next  decade,  cities  will  continue  to  grow  larger   at  a  rapid  pace.  At  the  same  time,  new  technologies  will   unlock  massive  streams  of  data  about  cities  and  their   residents.  As  these  forces  collide,  they  will  turn  every  city   into  a  unique  civic  laboratory—a  place  where  technology   is  adapted  in  novel  ways  to  meet  local  needs."   December  2010.    Institute  of  the  Future's  2020  Forecast  –   The  Future  of  Cities,  Information  and  Inclusion.  
  • 102. Ci4es: Worldwide,  city  leaders  and  managers  need  cost-­‐effective  &  smart  solutions Popula'on  Growth: -­‐ 221  cities  globally  with  more  than  1  million  citizens -­‐  China  will  move  300  million  people  to  cities  by  2020 -­‐  90%  of  these  cities  are  in  emerging  markets -­‐  In  2008,  more  people  lived  in  cities  (3.3  billion),  by  2030,  5  billion -­‐ Cities  are  more  efJicient  and  have  less  environmental  impact Cost  of  City  Services: Aging  infrastructure,  resource  constraints  &  waste -­‐ Washington  DC’s  water  system  has  elements  that  date  to  the  Civil  War -­‐ InefJiciency,  leaks  and  waste  rival  maintenance  and  expansion  costs source:  Gartner  –  Is  Smart  Cities  the  Next  Big  Market?    March  2011
  • 103. Why NYC? • City Population: • Gross Metropolitan Product: 8.1 million (2010 Census) USD $ 1.28 Trillion (Greyhill Advisors) • Metro NYC Population: 18.9 million (2010 Census) • DOITT annual budget: USD $325 million • City Density: 10,630/km2 (2010 Census) • ~120 City Agencies/ Departments, each with • Metro NYC Density: multiple datasources and standards 1,085.7/km2 (2010 Census) • 50 million visitors a year • Second only to Silicon Valley for most startups
  • 104. Why NYC? • Jan 24, 2011 - First Chief Digital Officer Appointed • May 16, 2011 - NYC Digital Roadmap released • Dec 19, 2011 - Cornell University-Technion-Israel Institute of Technology announced • Mar 7, 2012 - NYC Open Data Bill passed • April 17, 2012 - NYC Open Data Standards wiki launched • April 17, 2012 - NYCBigApps 3.0 awards ceremony
  • 105.
  • 106.
  • 107.
  • 108.
  • 109.
  • 110. ROAD MAP FOR THE DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011
  • 111. ROAD MAP FOR THE DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011
  • 112. ROAD MAP FOR THE DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011
  • 113. ROAD MAP FOR THE DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011 NYC Open Data
  • 114. ROAD MAP FOR THE DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011 NYC Open Data
  • 115. ROAD MAP FOR THE Linked DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011 APIs Data NYC Open ??? Data
  • 116. Developers, Businesses, Citizens, etc. ROAD MAP FOR THE Linked DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011 APIs Data NYC Open ??? Data
  • 118.
  • 119. 0. Huge Open Data 1. Extract Metadata 2. Derive ExtraMetadata (Semantics + Statistics + Algorithm + Crowd) 3. Do Federated Queries on both the Metadata AND the Data Crowdknowing
  • 120. Crowdknowing Human-powered, Machine-accelerated, Collective Knowledge Systems
  • 121. Crowdknowing Human-powered, Machine-accelerated, Collective Knowledge Systems Ontology, Inferencing, Semantic Curation, Comments, Mapping, Query Federation, Statistics, Feedback, Bug Reports, Pattern Recognition, Multivariate Likes, Shares, Profile, Votes, Analysis & Forecasting, Automated Subscribes, Tagging, linking, Feeds, Notifications etc. etc. etc. etc. etc. etc.
  • 122. ...is primarily an Open Data Developer resource
  • 123.
  • 124. Hans Rosling Shows the best stats you've ever seen February 2006
  • 125. ... that “Search Function” and something for the everyday user
  • 126. New York > Manhattan > Midtown > Times Square > 42nd Street What do you want? Top Gluten-free Restaurants Eat for less than $10 Discount Broadway Tickets Item 4 Michelin-rated restaurants Events in the next hour Tourist Resident Business Developer Government
  • 128. PUBLIC
  • 129.
  • 130. We need your help & feedback A Smart Data Exchange for All Data NYC Find out more at http://nyc.pediacities.com/facets
  • 131. CREDITS • Lego Faceparty picture by RichardAM (http://www.richard-am.net/) • Lego Inauguration Pictures from various Flickr Users (sluggobear, Atwater, Dan Hontz) • Lego Luke looses his Hand by Flickr user wwwayazdotcom • Tim Berners-Lee highlight from TED (http://www.ted.com/talks/ tim_berners_lee_on_the_next_web.html) • Hans Rosling highlight from TED (http://www.ted.com/talks/ hans_rosling_shows_the_best_stats_you_ve_ever_seen.html) • FlowerPowerpont2.pptx provided by Anna Rosling Rönnlund of gapminder • several images taken from NYC.gov properties • Various screenshots provided by Revelytix, Spry Inc. and TCG Software Services