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Towards smart city making government data work with big data analysis

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Presentation for HKUST Management Development Program for HKSAR Officers

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Towards smart city making government data work with big data analysis

  1. 1. Towards Smart City Making Government Data Work with Big Data Analysis Charles Mok Legislative Councillor (IT) 24 Sep 2015 Management Development Program for HKSAR government
  2. 2. / Everyone is V talking about“. ..
  3. 3. GOVERNMENT IS MORE DATA- DRIVEN THAN MOST COMPANIES - DJ Patil Chief Data Scientist of USA Ex-Linkedln Chief Scientist
  4. 4. 8' gm la . .,l J M? 3:5 [‘: >', —k". ‘Tl": .l‘_ ‘ M % A ’~: ;‘, i,/ 5: w m r+~;4 - 5: SCALE OF DATA FORMS OF DATA vo LU M E F M VARIETY VELOCITY A ll F VERACITY ANALYSIS OF DATA-FLOW V A UNCERTAINTY OF DATA
  5. 5. Global Open Data Index 2014 : El E E m > A F " .3 3?? E: 5% E2 EE ‘2 E9 5-’ 52%" 55 ‘:5 3 »§ 3 . :E SE 8% a& 8:2 2% 2; 5’ 3: £5 5.‘: :8 3o 3.5 5°°'* ‘ “““°‘“"“9“°"‘ rm Ex rm :3: in salt Ex :21: "70 3 °°"”“’“ Ea: an an 3'” Em ‘*7’ En: El! lief. “ rm rm 5:: la: E112 rm *9” ‘ "”‘““" En; can hJL" EEK Em Em Em mil E1: 7"“ ‘ ‘“““”“ an E11 lax E1’ in mi: 72“ 7 “°""z”"‘”“ at an. “ :3: lm an In an 73° 7 "°”'““ an Ear am rm :3: Ex: ml rm "0 ? ”“'‘*“‘‘‘'‘*‘ E112 Tm ‘IE1 at at an 7°“ ' °*'”°"V mt £21: EEC mi: 225: EEC an m: Ex: “'3 "“ '""’“ Em lax: EEK an in mi an "'7‘ "‘ En la: my En Eu: :3: '57“ Hong Kong ranks #52, China ranks #54 (out of 90 regions surveyed)
  6. 6. What kind of data is in your department's possession?
  7. 7. Where are they stored? How are they used?
  8. 8. The data in and around government is enormous. .. along with its complexity, number of sources and chaflenges
  9. 9. Challenges on government Meeting public expectations on responsiveness and service quality Pressure for transparency and accountability Continuing resources and budget constraints Impact of technology on operations “ii. —'. ':'; s‘ I I‘; ‘I .
  10. 10. Are the data from your unit publicly available on data. gov, hk? . » , . a
  11. 11. _ >Fl - 333 D/ lT/ l.G0l/ .HK *1 HOME DATA - APPLICATIONS 5;-‘3‘P3' “"4”? Data categories i “ : I_ an . ‘ ’ . I lb‘ 4!; " V . A. l ~ City Managemei Employment and Labour . _i (( )) 17 I I l I I I ‘ . I 7?: Environment Finance Food Health Housing IT and Broadcasting D W Law and Security Population Recreation and Culture Social Welfare Transport Miscellaneous ti)
  12. 12. What about those sitting in your archive or computers? _ : ‘ ram l l Em tan GT5 = __; lEe—- mi FT: "T: h Em-9 . _jj j_a g
  13. 13. This talk is about Harness the extraordinary power of govt's data sets, unlock its vast potential for progress
  14. 14. iiii y? "Data can enable government to do existing things more . , cheaply, do existing things %' better and do new things we '. ’s= :~%: ’ don't currently do. " ‘ , I l I . '- i3 " " ‘ I , ‘L_‘: _ . .. ,._, _ . ‘ ‘ ‘X — Tom Heath, head of research at the Open Data / nst/ “tute ' pr. »:
  15. 15. I ‘ N I Data analysis can help. .. . i Connecting the dots, visualising trends, I I ask the right questions to generate insight i, - s“§‘ ZI‘ / / ‘ ‘ an fi, i_. ___. £ _ _ _ . _- —’: :: V L>/ /’ & , —”’/ I ]/ 4”’ , ’ / F , ” I / fa / / / , ”’ / ’ / / I , -— ®r / z i / ,’ I ‘ / ,’ I / // I / / / // _. —‘@ ’ -—’ / / _— / _—’
  16. 16. big data analysis Decision Prediction Analysis Storage Collection
  17. 17. A1. Data Mining in a nutshell The non-trivial extraction of novel, ' implicit, and actionable knowledge from large databases and in a timely manner.
  18. 18. Global trend: Govt, data and smart cities Singapore: Smart Nation vision USA: US$160M "Smart Cities" Initiative China: State Council issued 3 development plans on big data
  19. 19. Example: ana| ytics. usa. gov = .III= ,ll_"ill‘-1§. ... l=i= i.. :{%V'~' l= '-22>-1-anew: _ _ _ 4 , _ J , Top 20 Pages people on government websites now Visits Today Eastern THTIE
  20. 20. M1 M5,‘ Hong Kong is moving forward 1. Digital 21 strategy 2. Budget 2014: make data publicly available 3. Releasing Budget data in machine-readable format 4. Revamped data. gov. hk launched 5. Smart city pilot study announced in East Kowloon 6. Commission on Strategic Development report: Smart City
  21. 21. Case #1: Education Learning about learning US Dept of Education's foray into big data — To explore the use of data mining to apply lessons for learning specific competencies — To analyze courses, schools, and even entire districts Hong Kong startup, partents and educators exploring EduTech
  22. 22. Case #2: Public health and hygiene By Hong Kong civic tech community using government open data — Licentheck (an Android and web app that provides a map view of Hong Kong with markers locating all licensed restaurants) - free service to check all licensed restaurants in Hong Kong — searchable interface to data provided by the Food and Environmental Hygiene Department httpzlldata-hk. comIprojects/ LicenCheckl
  23. 23. Case #3: Transport OpenTripP| anner Analyst: from providing info for passengers to spatial analysis, urban planning, accessibility research, and transportation engineering Analytical tools enabling data-driven decision making, alternatives analysis, and public outreach around service changes and infrastructure development y s __ ______. ., , , g use-tnunniwa: -o ll » seam-canoe-(trams; OpenTripPlanner 1 ~ 1-
  24. 24. Case #4: Environment City: Boulder, Colorado, USA Challenge: evaluate the health of its urban forest and find ways to retain and manage it , A Solution: high-res satellite imagery repository for GIS data programme to seek out healthy or damaged ‘ A canopy >>> judge the efficacy of conservation projects
  25. 25. What else? it Help social workers make better decisions about when and how to intervene 6 Personalising public services (e. g. social welfare) 6 Detecting fraud and error (e. g. voter registration) l. '_, ‘|]I. :1.: 'r5’}L ; '-. I 'l- ‘| ;|~(-. ,- "! :V. .i. -. mp
  26. 26. ism“-in ‘mm /1“ p . ... ... . .2 -®- " Overcoming the silo and ‘-. -:. -‘: :._: i I : : A : ‘ an :51: Vlmrmnl a o o u a o a on etll . . : .. Making ‘. :r, : : .;— u A: l‘=1'. : - I I: -I 2:: for meaningful use ; : Paradigm shift towards i: I.. :-- ‘I “ma ‘Ia : ‘:: :i I . . : =i: «:i :5 5 E ‘. =i - :1, :1 I‘ . I“i~-= =.i v: stem data breaches and fraud [ 3 E . =- 1: -‘ ; .:i. : :2 ii: if: :~. ': /specialists with domain knowledge I 3 : _ . l__ ii [2 ’', f:'. ' : _ I‘ ‘_i, |'i4i : i t Z‘. ':".7,I: '., ."' __— jl 3333i ‘i I—: ~ _: :-4
  27. 27. Data innovation for a smarter, more agile government i. ;L; i.; _». . You can make it happen
  28. 28. L" A" ‘; iitftfi Food for thought: Takeaways identify data and content that are vital to your mission Identify how, when, where and to whom information should be made available Determine appropriate data management, governance and security practices identify and prioritise the data analytics projects that deliver the most value Collaborate with the civic tech movement and other departments iii
  29. 29. Find out more. .. "All INSTA lASS| C—ESSENT| Al READING. " —lJAIlEl. HULK" . llllllill IJF EHWMNM IN7EllI5(N£[Allll IUEUS h‘ The Secret to Ilot Siartups. Smart Investing. Savvy Marketing, and Fast Innovation JOEL GURINL ?
  30. 30. 5 ; ;.j: ::: ..: .,~. _ " . ,; Eff‘ C. .r . -a’i2.'. £“‘ . _ a ie« I M 2 . - . ‘ ‘tiiV cg‘? ted A ‘ ‘Lt: e; Thankyou char| esmok@charlesmok. hk wvvw. charlesmok. hk Facebook: Charles Mok Efijlfi

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