Pulse Lab Jakarta Launch Presentation

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Presentation from the official launch event for Pulse Lab Jakarta, held in Indonesia on 1 October 2012. Presentation includes a background on "Big Data for Development," a showcase of Pulse Lab Jakarta's initial social media analysis research results, and roadmap for the Lab. http://www.unglobalpulse.org/PLJLaunch

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Pulse Lab Jakarta Launch Presentation

  1. 1. BAPPENAS  Launch EventPeluncuran1 October 2012 / 1 Oktober 2012 Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  2. 2. Ir. Wismana AdiSuryabrataDeputy Minister for Development Funding,Bappenas   Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  3. 3. Prof. Dr. Armida S.AlisjahbanaMinister of National DevelopmentPlanning Agency / Head of Bappenas     Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  4. 4. Mr. El-MostafaBenlamlihUnited Nations Resident Coordinator   Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  5. 5. Robert KirkpatrickDirector, UN Global Pulse   Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  6. 6. HARNESSING THE POWER OF BIG DATA FOR GLOBAL DEVELOPMENT Robert Kirkpatrick
  7. 7. HyperconnectivityAirplane Flights Telephone CallsInternet Traffic Social Networking Real-time isn’t just faster. It’s different.
  8. 8. 20th-Century tools…
  9. 9. Welcome to the age of BIG DATAVolume. Velocity. Variety….
  10. 10. Phoenician alphabet invented ca. 1000 B.C.E.
  11. 11. 955 million users
  12. 12. 400 million tweets per day…. or, 4600 per second
  13. 13. 400 million tweets = 7 terabytes of data… …..or120,000 file cabinets full of paper
  14. 14. If social networks were countries…1.3 billion 1.2 billion 955 million ~500 million 309 million 238 million
  15. 15. Jakarta - 9 million tweets every day
  16. 16. PRIVATE SECTOR Monitor operations…in real time Track market trends…in real timeGet customer feedback…in real time GLOBAL DEVELOPMENT Unemployment? Food Security? Public Health? Education? Migration? Disaster Relief?
  17. 17. BIG DATA IN REAL TIME: OPPORTUNITIES1.  Better early warning: Faster detection of anomalies in at the onset of a crisis allows rapid, effective, efficient response.2.  Real-time awareness: A more accurate and up-to- date picture of population needs and concerns informs better design of programs and policies;3.  Real-time feedback: Understand sooner where programs and policies are NOT working and make rapid, adaptive adjustments until progress is on track.
  18. 18. BIG DATA, PRIVACY, AND HUMAN RIGHTSGlobal Pulse privacy guidelines: •  Never analyze personally identifiable data Never analyze confidential data •  Never seek to re-identify individuals
  19. 19. EXAMPLE: AIRTIME CREDIT PURCHASE DATA
  20. 20. SIZE AND FREQUENCY PREDICT HOUSEHOLD INCOME Higher household income Average size of purchase Lower household income Average # of purchases / month
  21. 21. CALLING PATTERNS AND ECONOMIC OPPORTUNITY Lower Highersocioeconomic level socioeconomic level
  22. 22. MEN AND WOMEN USE THEIR PHONES DIFFERENTLYMen: Women:•  Fewer calls •  More calls•  Shorter calls •  Longer calls•  Smaller social network •  Larger social network•  More work-related calls •  More personal calls
  23. 23. Mobile phone locations predict cholera outbreaks
  24. 24. Using mobile phone movement to assess H1N1 response
  25. 25. TWITTER PREDICTS H1N1 INFLUENZA
  26. 26. GOOGLE SEARCHES FOR SYMPTOMS PREDICT DENGUE
  27. 27. RECENT SEARCHES FOR JOBS, COMMODITY PRICES
  28. 28. GLOBAL PULSE 2011THREE PROOF OFCONCEPT PROJECTS
  29. 29. Tracking Commodity Pricesthrough Online RetailAdvertising
  30. 30. Generating Real-Time Inflation Indices1 2 3 4 5Use1scraping1 Connect1to1 Find1individual1 Store1key1item1 Calculate1technology online1retailers items informa-on1in1 PriceStats1 a1database Indexes • Date • Item • Price • Descrip-on
  31. 31. ARGENTINA BRAZIL CHILECOLOMBIA URUGUAY VENEZUELA
  32. 32. URUGUAY Uruguay Bread Index (daily data) Uruguay Bread & Cereals CPI (monthly data)
  33. 33. Online Discussions & Unemployment Ireland
  34. 34. Online Discussions & Unemployment United States
  35. 35. Tweets per day about food,during Ramadan in Indonesia Start of Ramadan End of Ramadan
  36. 36. Tweets predict food basket inflation (rice, chilies, fish, sugar, corn, cooking oil)Tweets about theprice of rice(per month)OfficialFood Price Inflation(monthly from 25 cities)
  37. 37. ABOUTGLOBAL PULSE
  38. 38. Dynamic Development?
  39. 39. Data Philanthropy?
  40. 40. PULSE LABSR&D INNOVATION STRATEGY 1.  Partner with governments to establish Pulse Labs around the world. 2.  Build world-class teams of data scientists, engineers, and policy experts 3.  Partner with private sector for access to real-time data and cutting edge technology 4.  Design and conduct exploratory research 5.  Build an open source toolkit for real-time monitoring 6.  Support broad adoption of useful innovations 7.  Share everything we learn and build
  41. 41. Pulse Lab NetworkPulse Lab Jakarta…………October 2012Pulse Lab Kampala……….January 2013Other locations…………...???
  42. 42. Dr. LukitaDinarsyah TuwoVice Minister of National DevelopmentPlanning Agency / Bappenas     Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  43. 43. Initial Research Findingsfrom Pulse Lab Jakarta   Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  44. 44. Indonesia & Social Media Indonesia 5th in worldwide Twitter users & volume 90% of Indonesian Internet users are on Facebook 10-25% of Indonesian regularly access Internet, including via Internet cafes and mobile devices Language barriers, local slang and Indonesia-specific sites present new challenges for social media analytics.Source: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  45. 45. Pulse Lab JakartaAn innovation lab for real-time, Big Data analysis  Source: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  46. 46. Research Agenda2012-2013  Regions of focus: •  Jakarta •  Jogja •  Makassar (South Sulawesi) •  Medan (North Sumatera) Topic of focus: •  Changes in social welfare, especailly as related to food prices, fuel prices (transport and cooking) and employmentSource: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  47. 47. Research Agenda2012-2013   Approaches for Exploration: •  Social Media & Twitter Analysis •  Mobile CDR Analysis •  Rapid Mobile SurveysSource: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  48. 48. Research Questions2012-2013   How are these topics discussed on Social Media? •  Which social media sources? •  How much relevant conversation is there? How can we monitor how they affect Indonesians? •  Which analytical approaches? •  Which technological capabilities?Source: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  49. 49. Pre-Launch Research TopicsInitial Exploration   1 Food Prices •  Staple foods (sembako), rice (beras), sugar (gula), eggs (telur) 2 Fuel Prices •  Vehicle fuel (bensin), oil fuel (BBM), LPG (elpiji) 3 Unemployment •  Unemployed (pengangguran), severance pay (pesangon)Source: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  50. 50. Proof of Concept ResearchInitial Exploration   101001 001001 Data Sources 001110 •  Sources: Twitter, Facebook, Blogs, News… 010011 •  Real-time data + 2-year historical archive Analytical Approaches •  Identify trending topics in online conversation •  Assess mood and sentiment for those topics Results •  Correlate with official data sources (CPI, unemployment) •  Visualize trends & map the resultsSource: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  51. 51. Research Tool 1Crimson Hexagon: ForSight  Source: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  52. 52. Research Tool 2SAS Social Media Analytics and SAS Text Miner  Source: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  53. 53. The Signals Are Getting Stronger  è Big increase in volume of relevant conversations over 18 months 40000   35000   minyak  (oil)   ketahanan  pangan  (food  security)   30000   budidaya  (cul>va>on)   25000   telur  (eggs)   20000   15000   10000   5000   0   Indonesians are increasingly using social media to discuss basic needsSource: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  54. 54. So Are the Temporal Correlations  è Listening to social conversations provides insight on official data 2.5   2   1.5   1   0.5   0   -­‐0.5   -­‐1   -­‐1.5   Social  Media  Food  Index   -­‐2   BAPPENAS  Food  Price  Index   -­‐2.5  Source: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  55. 55. Overview of Preliminary Findings   Food prices influenced by global events 1 •  Global soy bean shortage •  Rising prices in Indonesia •  Online complaints about affording food •  New tool to detect impact faster? 2 Fuel prices affected by government policy •  Cuts in subsidies => price rise •  Social outcry - worry, uncertainty, anger •  New tool to estimate vulnerability? 3 Social media predicts official statistics •  New tool to derive price index?Source: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  56. 56. The Way Forward  Building up Pulse Lab capabilities:•  Build interdisciplinary R&D team that consists of Government, private sector, academia, NGOs and development partners.•  Develop a framework for ensuring data privacyDeveloping Partnerships:•  Secure access to new sources of real-time data, particularly with mobile carriers.•  Secure access to state-of-the-art technology for analysis•  Translate analysis technologies into Bahasa and other local languages•  Collaborate with BIG and CSIRO on geo-location projects.Source: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  57. 57. Next Steps   •  Through key partnerships and projects, continue to explore the usefulness of new digital data sources and new analytical tools. •  After gaining 2 years’ of experience with the Pulse Lab approach, assess whether this approach can contribute usefully to improvements in social protection, early warning, and Government Development PlanningSource: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  58. 58. Dr. ViviYulaswati, MSCDirector of Social Protection and Welfare /Bappenas  
  59. 59. Social Media Research:Methods and Preliminary Results  
  60. 60. OUTLINE   1. Mining Social Media: Topics & Research Questions 2. Research Tools & Results •  Crimson Hexagon •  SAS 3. DiscussionSource: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  61. 61. TOPICS FOR EXPLORATION   1. Food Prices staple food (sembako), rice (beras), sugar (gula), eggs (telur) 2. Fuel Prices vehicle fuel (bensin), oil fuel (BBM), LPG (elpiji)Source: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  62. 62. BIG QUESTIONS   •  How are food and fuel prices in Indonesia being discussed on Social Media? •  How can we monitor how they affect Indonesians? •  Can social media serve as a real-time approximation of official statistics?Source: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  63. 63. OUTLINE   1. Mining Social Media: Topics & Research Questions 2. Research Tools & Results •  Crimson Hexagon •  SAS 3. DiscussionSource: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  64. 64. Crimson Hexagon: MethodsStep   1   Human  Training   Select     Choose   Define   Label   Data  Sources   Keywords   Categories   Examples   beras Posi>ve   OR telur OR gula Neutral   I  love  when  mrice  cooks   If  tofu  p um     eggs  instead  of  tempeh…   goes  higher,  I  can’t   Hope  prices  rmore  ore!     afford  any   ise  m :(   Nega>ve   Irrelevant  èHuman  labels  a  few  examples  to  teach  machine.  
  65. 65. Crimson Hexagon: MethodsStep   2   Machine  Classifica9on   Consume   Match   Detect   Examine   Data  Sources   Keywords   Categories   Results   beras Posi>ve   +4%   OR telur OR gula Neutral   -­‐1%   Nega>ve   +3%   Irrelevant   -­‐1%  èMachine  analyzes  millions  of  tweets  automa>cally.  
  66. 66. Food Prices: Global Influence 23  July   25  -­‐  27  July   Global  soy  bean  price  hike.  Indonesian   DPR  urges  government   produc>on  of  tempe  and  tofu  cut  back.   to  reduce  soy  bean   import  duty  and  give   subsidy.   10-­‐22  July:  Not  many  men>ons  of  ‘tempe’  and  ‘tahu’   10  July  –  2  August  2012   Global  soy  bean  shortage.   23  -­‐  28  July  ‘tahu’  and  ‘tempe’  become   Spikes  of  comments  on  tempe   and  tofu  hot  topics  in  Bahasa  tweets  
  67. 67. Food Prices: Example Tweets “nyokap  ngomel-­‐ngomel  harga  tempe  tahu  naik  :D”       “Harga  Kedelai  Naik,  Sbecause  the  tdit,  buruan  nonton  sp  :D”   tar   “udeh..  kebanyakan  emes>nya  u  emerintah  Bprice’s  u ono  n “mom’s  grumbling   ngomong  l P empe  tahu   eri  Subsidi”     “Harga  tempe  hprice  kedelai  nkenapa    k-­‐  Nega9ve  subsidy”   ise  (Jul  26,  2012)   “Soy  bean  arga   hise,  Govt.  supposed  to  gmpor?,  rice  r keburu  naik..,   r mmm,   aik  lagi...”     -­‐ edelai  i ive   to  pmemangnya  tanah   Indonesia  ga  isubur  ud-­‐-­‐  Atnnouncement  with  no  t  en9ment  (Jul  2bean   “disaat  harga  tyou  tntuk  empe  nuch,  alhamdulillah  mama  msoy   8,  2012)   “stop   t..   ahu   alked  edelai?  #curhatpenggemartempe”      an   ktoo  m aik,   go  watch  i s before  the   asih   bikin  price  up  up..,  hmmm,  why  w t price’s   again...”   “Tempe  ahu  dan  tempe  balado  :D”   e  import  soy  bean?,  is  Indonesian  land   inferCle  to  his  tofu  and  tempe  price  hike,  thanks  God  mom  sCll  can  6,  2012)   “during  t plant  soy?  #tempe-­‐lover’s-­‐vent-­‐out”   no  emo9on  (Jul  2 -­‐-­‐  Realize  price  rise,   cook  spicy  tahu  and  tempe  :Confused  reac>on  to  price  rise  (Jul  28,  2012)    -­‐-­‐   D“      -­‐-­‐  Posi9ve/unaffected  by  price  rise  (Jul  30,  2012)   10  July  –  2  August  2012   Global  soy  bean  shortage.  ‘tahu’  and  ‘tempe’  become  hot  topics  in  Bahasa  tweets  
  68. 68. Food Prices: Crisis Passes 23  July  -­‐  2  Aug   ‘tempe’  and  ‘tahu’  hot  debate   14  -­‐  21  Aug     Ramadhan  /  Idul  Fitri   10  July  –  25  August  2012   Ramadhan  /  Idul  Fitri  Food  men>ons  not  as  high  as  during  ‘tempe’  &  ‘tahu’  crisis  
  69. 69. Food Prices: The Next Topic “Tempe  tahu  udh  naik  harga,  skrng  daging  menyusul  +_+“     “Tempe  tahu  price  has  hiked,  now  meat  follows  +_+  ”    -­‐-­‐  Aug  16,  2012   “Dedek  jgn  keseringan  minta  dibua>n  mie  telor  ya.  harga  sembako   “Langsung  belanja,  harga  daging  naik  !  mentok  sekilo  30rb.  #lol  “   naik.  mamah  susah.”   “Let’s  go  shopping  now,  meat  price  hike!  It  reached  Rp  30.000  per   “LiFle  kid,  please  don’t  ask  to  cook  noodle  egg  too  oGen.  The   kg.  #lol  ”   staple  food  price’s  hiking.  Mom’s  troubled.”    -­‐-­‐  Aug  14,  2012    -­‐-­‐  Aug  16,  2012   14  -­‐  21  August     ‘daging’  (meat)  and  ‘sembako’  (staple  food)   become  main  topics  
  70. 70. Food Prices: Social vs Official Spikes  in  social   media  conversa>ons   about  food  prices…   2   …  are  reflected  in   1.5  CPI,  %  change   infla>on  sta>s>cs   1   measured  by  govt.   0.5   0   -­‐0.5   February   March   April   May   June   July   August   -­‐1  
  71. 71. Fuel Prices: Local Event “BBM  naik  ,  harga  makanan  juga  naik  x_x  “     “Fuel  price  has  hiked,  now  food  follows    x_x  ”    -­‐-­‐  Mar  27,  2012   “Waduh  bbm  naik  harga  makanan  naik  saya  bs  agak  kurusan  ntar”   “Whoa..    Fuel  price  rise,  the  food  price  rise,  then  I  will  become   “Bagi  rakyat  kecil  bkn  masalah  u/  mngurangi  pnggunaan  BBM,  tp   slimmer”   efek  domino  dr  knaikan  BBM  (harga  pangan,  trnsportasi  umum    -­‐-­‐  Mar  26,  2012   naik)  yg  memberatkan”     “For  poor,  reducing  fuel  usage  is  not  the  problem,  but  the  domino   effects  of  fuel  price  rise  (food,  public  transportaCon  price  rise)  is”    -­‐-­‐  ”  Mar  30,  2012   18  March  –  7  April   Fuel  subsidy  cut  plan  and  protests:  ‘bbm’,  ‘makanan’  &   ‘sembako’  trending  topics  
  72. 72. Fuel Prices: Timeline 27  Mar:  Massive  protests  against   fuel  price  rise  in  Jakarta.   25  Mar:  Some  DPR  members  agree  to   increase  fuel  price.  Protests  began   31  Mar:  Govt.   several  days  before.   announces  it   22  Feb:  News  of  government  plan  to   will  restore   increase  subsidized  fuel  price   subsidies.  Few  men>ons  of  “Fuel”  on  Twiner   15  Feb  –  15  April  2012  Government  plan  to  reduce   fuel  subsidies  triggered   protests  
  73. 73. Comparing Crises Tweets  about  food   18  Mar  -­‐  7  Apr   23  July  -­‐  2  Aug  Fuel  subsidy  cut  plan  and   ‘tempe’  and  ‘tahu’  hot  debate   protests  against  it  
  74. 74. Social Protection Programs ‘Social  Protec>on  Program’  – men>ons  gepng  higher  over  >me,   esp.  near  Jakarta  Governor  elec>on   11  July  ‘12:     20  September  ‘12:     Jakarta  governor  elec>on,     Jakarta  governor  elec>on,     1st  round   2nd  round  
  75. 75. OUTLINE   1. Mining Social Media: Topics & Research Questions 2. Research Tools & Results •  Crimson Hexagon •  SAS 3. DiscussionSource:
  76. 76. SAS Analytic Workflow1)  Over  200,000  new     5)  Explore  results  and  correlate   3)  Capture  sen>ment   with  official  sta>s>cs  to  official  Indonesian  language   and  mood  for  Bahasa     BPS  sta>s>cs  :  Consumer  Price  documents  per  day   Index  (CPI)  for  12  common  foods   Global  Pulse   Sen>ment,   Topic  &   Internet   Relevance   Mood  &   Geography   Interac>ve  Conversa>on   Filter   Influence   Categories   Dashboard   2)  Extract  conversa>ons   4)  Detect  loca>on,  price,   about  rice,  cooking  oil,   availability,  specific   fuel,  employment,  etc.   govt.  programs,  etc.    anxious,      confident,    confused,      hos>le,      sad,      happy   (-”-) ;-) ((+_+)) :@ :( :)
  77. 77. hnp://youtube.com/watch?v=MK-­‐aHVfQ3BI  
  78. 78. Indonesian Data Densityè Data density across archipelagos of Indonesia
  79. 79. The signals are growing strongerèBig increase in volume of relevant conversations over 18 months 40000   35000   minyak  (oil)   ketahanan  pangan  (food  security)   30000   budidaya  (cul>va>on)   25000   telur  (eggs)   20000   15000   10000   5000   0  Indonesians are increasingly using social media to discuss basic needs
  80. 80. BSo are the temporal correlationsèListening to social conversations provides insight on official data 2.5   2   1.5   1   0.5   0   -­‐0.5   -­‐1   -­‐1.5   Social  Media  Food  Index   Social   edia  Food  Index   -­‐2     BPS  Food  PFood  ndex  I  ndex   BAPPENAS   rice  I Price   -­‐2.5  
  81. 81. Linear Regression Analysis Social  Media  Topics   BAPPENAS  Sta>s>cs    0.9%   Agricultural  Cul9va9on     (budidaya  pertanian)   Eggs    -­‐0.5%   (telur)   Food  Security     =   0.89   Infla>on  (CPI)    0.1%   (ketahanan  pangan)   Cooking  Oil    -­‐0.1%   (minyak  goreng)     Regression  Weights   Correla9on  Coefficient   The  predic>ve  power  of        0  =  no  rela>onship   each  conversa>on  topic        1  =  perfect  correla>on  
  82. 82. OUTLINE   1. Mining Social Media: Topics & Research Questions 2. Research Tools & Results •  Crimson Hexagon •  SAS 3. DiscussionSource:
  83. 83. ADVANTAGES   •  Real-time detection of trends to understand community concerns & coping mechanisms •  Detect quick response to social protection plans and policies •  Augment and complement official statistics with real time indicatorsSource:
  84. 84. CAVEATS   •  Current social media users do not represent the entire population => can’t measure direct response to poverty issues •  Twitter content good for immediate, short-term trends => does not capture long-term aspirations and intentions •  Machine classification methodologies need human supervision => are not able to deal with sarcasm, and complex human communications •  Correlation ≠ Causation •  Noise, rumors & reliabilitySource:
  85. 85. NEXT STEPS   New applications –  health –  natural disasters –  intention to migrate New datasets –  additional social media sources –  mobile phone call detail records (CDRs) New research projects ready to start –  UNICEF (child welfare and education) –  ILO (female labor condition and employment access)Source:
  86. 86. OktorialdiMA, PhDHead of PUSDATIN, Bappenas   Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  87. 87. Pulse Lab Operations &Roadmap   Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  88. 88. Innovation LifecyclePhase 1 – Research   PHASE 1 – Research Phase Carry out a series of “Proof of Concept” projects exploring the utility of various sources of new digital data: •  Exploratory research on social media, mobile data (CDRs) and other relevant sources •  Development or adaptation of technology tools for analysis •  Conduct analysis of historical data, and compare against official statistics, to look for correlations and proxy indicators •  Publication and sharing of findingsSource: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  89. 89. Innovation LifecyclePhase 2 – Prototype PHASE 2 – Prototype Phase If Proof-of-Concept phase proves that there are useful insights within the new data source, built prototypes for real-time monitoring: •  Obtain sustainable access to digital data source in real- time •  Develop technology prototype for ongoing analysis •  Sample from 4 cities: Medan, Jakarta, Jogjakarta, MakassarSource: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  90. 90. Innovation LifecyclePhase 3 – Implementation PHASE 3 – Use of Data in Real-Time Decision Making and Planning If prototypes are useful to the work of line ministries and programme planning, mainstream and operationalize the technique and the tools: •  Mainstreaming use of new indicator/data source •  Expand to larger-scale operational data analysis after a year •  Operationalize data monitoring software, hardware and human expertiseSource: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  91. 91. YEAR 1 ROADMAP(2012 – 2013) ² Move to permanent Lab space ² Series of Proof-of-Concept research projects and prototypes ² Forge new partnerships around data, technology and expertise ² Development of legal and data privacy frameworks ² Organize workshops & meet-ups on Big Data for Development ² Knowledge sharing & publication of findings from research projectsSource: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  92. 92. Work with Pulse Lab JakartaResearch Project Partners •  Explore and test new digital data sources that could contribute to real time program monitoring, or complement an existing monitoring system. •  Test data sources that could serve as proxy development indicators.Source: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  93. 93. Partner with Pulse Lab JakartaInnovation Partners •  Data Sharing Partners •  Research Partners •  Technology Partners •  Host a Training Session •  Academic Fellowships •  Funding SupportSource: Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  94. 94. Q&A Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  95. 95. InnovationShowcaseCSIRO SAS InternationalMercy Corps Microsoft LIFENokia Life PoliticaWave   Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  96. 96. BAPPENAS   Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012
  97. 97. Thank You! Pulse Lab Jakarta Launch / Jakarta, Indonesia / 1 October 2012

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