SlideShare a Scribd company logo
We	
  have	
  5	
  minutes	
  to	
  talk	
  to	
  a	
  group	
  of	
  tech	
  and	
  business	
  entrepreneurs	
  
par8cipa8ng	
  in	
  a	
  weekend	
  of	
  startup	
  brainstorming	
  at	
  #StartUpWeekend	
  in	
  
Khayelitsha,	
  Cape	
  Town.	
  
	
  
This	
  is	
  a	
  “leave	
  behind”	
  toolkit	
  that	
  aEendees	
  can	
  use	
  throughout	
  the	
  weekend,	
  and	
  
beyond.	
  
	
  
It	
  consists	
  of	
  a	
  series	
  of	
  ques8ons,	
  prompts	
  and	
  resources	
  that	
  can	
  help	
  to	
  refine	
  the	
  
idea	
  and	
  business	
  model	
  adopted.	
  	
  
	
  
These	
  are	
  not	
  necessarily	
  sequen8al,	
  but	
  can	
  be	
  seen	
  as	
  an	
  “itera8ve”	
  process	
  –	
  use	
  
them	
  in	
  the	
  order	
  best	
  suited	
  to	
  you	
  and	
  your	
  team,	
  and	
  feel	
  free	
  to	
  come	
  back	
  to	
  
any	
  ques8on	
  at	
  any	
  stage	
  of	
  your	
  process.	
  
	
  
1	
  
These	
  ques8ons	
  will	
  not	
  tell	
  you	
  what	
  to	
  see,	
  but	
  rather	
  advice	
  on	
  where	
  to	
  look	
  
	
  
2	
  
The	
  world	
  is	
  changing	
  at	
  a	
  rapid	
  pace.	
  Watch	
  some	
  of	
  the	
  “ShiL	
  Happens”	
  and	
  “Did	
  
you	
  know”	
  videos	
  in	
  Youtube	
  for	
  some	
  ideas	
  about	
  the	
  pace,	
  scale	
  and	
  direc8on	
  of	
  
change:	
  
ShiL	
  Happens	
  (2014	
  Remix):	
  hEps://www.youtube.com/watch?v=PcZg51Il9no	
  	
  
Did	
  you	
  know,	
  in	
  2028:	
  hEps://www.youtube.com/watch?v=QpEFjWbXog0	
  
	
  
This	
  has	
  implica8ons	
  for	
  (almost)	
  every	
  aspect	
  of	
  our	
  lives.	
  	
  
	
  
We	
  are	
  seeing	
  more	
  “city	
  data”	
  and	
  “city	
  tech”	
  research	
  groups	
  at	
  top	
  univers88es,	
  
state	
  and	
  privately	
  funded	
  R&D	
  Labs	
  for	
  these	
  themes	
  
	
  	
  
We	
  see	
  economic	
  consul8ng	
  and	
  city	
  planning	
  and	
  engineering	
  shiLing	
  from	
  the	
  
produc8on	
  of	
  sta8c	
  reports	
  and	
  plans,	
  to	
  dynamic	
  tools	
  that	
  respond	
  to	
  (almost)	
  real	
  
8me	
  changes	
  in	
  variables	
  
	
  
“Mobile	
  phones	
  are	
  the	
  new	
  mobility	
  –	
  with	
  Apps	
  that	
  tell	
  us	
  where	
  to	
  move,	
  what	
  
mode	
  of	
  transport	
  to	
  use,	
  and	
  that	
  help	
  us	
  book	
  8ckets	
  or	
  call	
  a	
  cab,	
  our	
  mobility	
  is	
  
inextricably	
  linked	
  to	
  our	
  phones”	
  –	
  do	
  you	
  agree?	
  What	
  will	
  be	
  the	
  next	
  “disrupter”	
  
in	
  this	
  space?	
  Locally,	
  we	
  already	
  have	
  many,	
  like	
  GoMetro;	
  Locomute,	
  Uber	
  and	
  
more!	
  
	
  
3	
  
“The	
  new	
  norm	
  is	
  uncertainty	
  and	
  technology	
  is	
  in	
  the	
  drivers	
  seat”	
  –	
  John	
  Rendon	
  
	
  
At	
  the	
  same	
  8me,	
  globally	
  as	
  much	
  as	
  locally,	
  we	
  witness	
  a	
  disconnect	
  between	
  
centres	
  of	
  power,	
  and	
  people	
  on	
  street.	
  People	
  want	
  par8cipa8on,	
  they	
  want	
  
feedback,	
  and	
  they	
  want	
  responses	
  to	
  their	
  needs,	
  ideas,	
  complaints…	
  when	
  they	
  do	
  
not	
  have	
  construc8ve	
  plamorms	
  for	
  this,	
  they	
  oLen	
  turn	
  to	
  one	
  of	
  the	
  oldest	
  
plamorms:	
  the	
  street	
  
	
  
With	
  rapid	
  urbanisa8on,	
  and	
  hard	
  economic	
  8mes	
  (now	
  more	
  than	
  ever?)	
  we	
  need	
  to	
  
make	
  efficient	
  use	
  of	
  physical	
  infrastructure	
  (our	
  roads,	
  our	
  built	
  environment,	
  our	
  
water,	
  energy	
  and	
  transport	
  networks	
  and	
  other	
  physical	
  assets).	
  Ar8ficial	
  
intelligence	
  and	
  data	
  analy8cs	
  are	
  suppor8ng	
  not	
  only	
  this	
  –	
  but	
  also	
  economic,	
  social	
  
and	
  cultural	
  development.	
  	
  
	
  
By	
  improving	
  the	
  intelligence	
  of	
  the	
  city,	
  we	
  can	
  learn,	
  adapt	
  and	
  innovate	
  and	
  
thereby	
  respond	
  more	
  effec8vely	
  and	
  promptly	
  to	
  changing	
  circumstances	
  (Smart	
  
City,	
  Wikipedia)	
  
	
  
John	
  Rendon	
  divides	
  countries	
  in	
  to	
  four	
  types:	
  
•  those	
  who	
  have	
  already	
  ridden	
  the	
  wave	
  of	
  transi8on,	
  landed	
  on	
  the	
  beach,	
  and	
  
are	
  saying	
  “what	
  a	
  ride”:	
  we	
  can	
  learn	
  lessons	
  from	
  these	
  places	
  	
  
•  those	
  who	
  have	
  ridden	
  the	
  wave,	
  and	
  are	
  messed	
  up,	
  have	
  their	
  back	
  to	
  the	
  series	
  
of	
  waves	
  s8ll	
  coming	
  
•  those	
  who	
  are	
  in	
  the	
  water,	
  but	
  wai8ng	
  for	
  the	
  wave,	
  ready	
  to	
  ride	
  it	
  
•  those	
  who	
  don't	
  even	
  see	
  the	
  water	
  yet	
  	
  	
  
	
  
I	
  would	
  add	
  a	
  5th:	
  those	
  who	
  see	
  the	
  wave	
  coming,	
  are	
  watching	
  it	
  come	
  closer,	
  and	
  
are	
  over-­‐analysing	
  the	
  size	
  and	
  speed	
  of	
  the	
  wave,	
  while	
  its	
  about	
  to	
  crash	
  right	
  over	
  
them	
  
	
  
Big	
  companies,	
  like	
  Google,	
  IBM,	
  Siemens,	
  SAP	
  –	
  they	
  see	
  the	
  wave.	
  They	
  are	
  
benefi8ng	
  by	
  locking	
  Ci8es	
  in	
  to	
  proprietary	
  systems.	
  	
  
	
  
They	
  are	
  also	
  inves8ng	
  heavily	
  in	
  R&D:	
  Google	
  has	
  collaborated	
  with	
  Doctoroff	
  on	
  
their	
  project	
  SideWalk	
  Labs,	
  with	
  applies	
  technology	
  to	
  solving	
  urban	
  problems	
  
	
  
Young	
  popula8ons	
  +	
  	
  high	
  growth	
  in	
  technology	
  =	
  new	
  expecta8ons	
  (of	
  service	
  
providers,	
  of	
  democra8c	
  process,	
  of	
  employers…)	
  
•  we	
  are	
  currently	
  preparing	
  students	
  for	
  jobs	
  that	
  don’t	
  yet	
  exist,	
  using	
  
technologies	
  that	
  don’t	
  yet	
  exist,	
  solving	
  problems	
  that	
  we	
  might	
  not	
  even	
  know	
  
exist	
  
•  yet	
  our	
  classrooms	
  look	
  the	
  same	
  as	
  they	
  did	
  half	
  a	
  century	
  ago	
  
4	
  
There	
  is	
  an	
  emerging	
  emphasis	
  on	
  collabora8on	
  and	
  learning	
  together,	
  not	
  "being	
  
taught"	
  	
  -­‐	
  online	
  efforts	
  like	
  “brilliantminds.org”	
  –	
  and	
  then	
  we	
  see	
  15year	
  olds	
  
developing	
  tech,	
  cures	
  etc	
  	
  
	
  
Disrup8ons:	
  “expect	
  the	
  staircase	
  to	
  move”	
  (John	
  Rendon	
  again)	
  
•  Ci8es	
  are	
  increasingly	
  recognised	
  as	
  prominent	
  as	
  centres	
  of	
  power	
  and	
  innova8on	
  
•  The	
  public	
  librariarian	
  now	
  needs	
  to	
  be	
  an	
  open	
  data	
  expert	
  	
  
•  Ci8es	
  are	
  shiLing	
  from	
  policies	
  &	
  plans,	
  to	
  principles	
  and	
  tools	
  
•  From	
  sta8c	
  reports,	
  to	
  algorithm-­‐driven	
  models	
  	
  
	
  
Traffic,	
  8nkering	
  and	
  stop	
  lights:	
  
•  Business	
  as	
  usual	
  /	
  government	
  8nkering:	
  “we	
  don't	
  build	
  a	
  traffic	
  light	
  un8l	
  there	
  
are	
  enough	
  accidents,	
  regardless	
  of	
  how	
  many	
  people	
  have	
  asked	
  for	
  a	
  traffic	
  
light”	
  
•  the	
  tech,	
  par8cipatory	
  govt.	
  wave	
  is	
  not	
  one	
  that	
  can	
  be	
  8nkered	
  through.	
  	
  	
  
Another	
  example:	
  “we	
  check	
  water	
  services	
  on	
  a	
  rota8onal	
  basis,	
  and	
  address	
  
problems	
  as	
  we	
  find	
  them”	
  vs.	
  “we	
  respond	
  to	
  real-­‐8me	
  feeds	
  on	
  water	
  quality	
  and	
  
flows	
  from	
  sensors	
  that	
  exist	
  through	
  the	
  water	
  system”	
  
	
  
Don't	
  view	
  the	
  world	
  as	
  a	
  "transac8on	
  economy"	
  -­‐	
  compe88on,	
  and	
  transac8ons	
  on	
  
set	
  terms	
  	
  	
  
But	
  a	
  rela8onship,	
  a	
  nego8a8on,	
  collabora8on	
  and	
  compe88on	
  	
  	
  
	
  
Ci#es	
  are	
  complex,	
  not	
  complicated:	
  
Complicated	
  problem	
  is	
  unpacked,	
  solved	
  in	
  pieces	
  and	
  aggregated	
  for	
  a	
  broad	
  
systems	
  engineering	
  solu8on	
  	
  
Complex	
  problems	
  change	
  when	
  you	
  engage	
  with	
  them…	
  
	
  
	
  
5	
  
Important	
  reading:	
  
7	
  steps	
  to	
  a	
  smart	
  city:	
  hEp://theurbantechnologist.com/seven-­‐steps-­‐to-­‐a-­‐smarter-­‐
city/	
  	
  
6	
  inconvenient	
  truths	
  about	
  smart	
  ci8es:	
  hEp://theurbantechnologist.com/
2015/02/15/6-­‐inconvenient-­‐truths-­‐about-­‐smart-­‐ci8es/	
  	
  
Best	
  prac8ce	
  from	
  Responsive	
  Ci8es:	
  hEp://www.amazon.com/The-­‐Responsive-­‐City-­‐
Communi8es-­‐Data-­‐Smart/dp/1118910907	
  	
  
Open	
  vs	
  proprietary:	
  hEps://www.fiware.org/2015/03/25/fiware-­‐a-­‐standard-­‐open-­‐
plamorm-­‐for-­‐smart-­‐ci8es/	
  	
  
Towards	
  open	
  urban	
  plamorms	
  for	
  smart	
  ci8es	
  and	
  communi8es:	
  hEp://
ec.europa.eu/digital-­‐agenda/en/news/memorandum-­‐understanding-­‐towards-­‐open-­‐
urban-­‐plamorms-­‐smart-­‐ci8es-­‐and-­‐communi8es	
  	
  
	
  
Proprietary	
  is	
  oLen	
  easier	
  to	
  procure,	
  but	
  risks	
  locking	
  a	
  city	
  in	
  to	
  a	
  single	
  service	
  
provider,	
  with	
  very	
  costly	
  licensing	
  fees,	
  update	
  fees	
  etc.	
  	
  
	
  
The	
  entrepreneur	
  also	
  has	
  more	
  opportuni8es	
  to	
  tap-­‐in	
  to	
  an	
  open,	
  global	
  system,	
  
than	
  to	
  try	
  and	
  connect	
  to	
  a	
  proprietary	
  backbone.	
  
6	
  
Components	
  of	
  Smart	
  City	
  Architecture:	
  hEp://theurbantechnologist.com/seven-­‐
steps-­‐to-­‐a-­‐smarter-­‐city/	
  	
  
7	
  
Please	
  find	
  more	
  info	
  on	
  the	
  local	
  open	
  data	
  ecosystem	
  here:	
  
hEp://www.wcedp.co.za/eic/blog/edp-­‐presents-­‐at-­‐erln-­‐technical-­‐working-­‐group-­‐on-­‐
data	
  	
  
	
  
Open	
  data	
  for	
  Smart	
  Ci#es:	
  hEp://www.slideshare.net/soeren1611/open-­‐data-­‐for-­‐
smart-­‐ci8es	
  	
  
	
  
Why	
  Open	
  Data?	
  
•  Govt.	
  produces	
  a	
  lot	
  of	
  data	
  –	
  untapped	
  value	
  
•  Enhances	
  transparency	
  &	
  innova8on	
  
•  The	
  value	
  of	
  data	
  supports	
  the	
  business	
  case	
  for	
  digital	
  economy,	
  digi8cally	
  
compe88ve	
  city,	
  smart	
  city	
  and	
  vica	
  versa	
  
•  There	
  are	
  no	
  at-­‐scale	
  “person-­‐centred	
  outcomes”	
  from	
  smart	
  city	
  ini8a8ves	
  if	
  its	
  
not	
  also	
  open	
  
•  The	
  web	
  has	
  engendered	
  a	
  culture	
  of,	
  and	
  expecta8on	
  for,	
  openness	
  that	
  
everyone	
  can	
  par8cipate	
  in:	
  we	
  expect	
  service	
  providers,	
  including	
  the	
  state,	
  to	
  
respond	
  on	
  twiEer,	
  to	
  have	
  Apps,	
  to	
  adapt	
  to	
  real-­‐8me	
  feedback	
  and	
  trends	
  
•  The	
  outputs	
  of	
  open	
  data	
  can	
  be	
  complimentary	
  to	
  other	
  objec8ves:	
  e.g.	
  
Intelligent	
  Mobility	
  and	
  Public	
  Transport	
  	
  
•  This	
  requires	
  intermediaries	
  to	
  support	
  understanding	
  between	
  the	
  subject	
  
maEer	
  experts	
  (e.g.	
  transport	
  planners)	
  and	
  techies.	
  Other	
  ci8es	
  have	
  	
  
8	
  
Many	
  interests	
  converge:	
  
•  innova8on,	
  entrepreneurship	
  &	
  commercial	
  
•  govt.	
  solu8on	
  finding,	
  crea8on	
  of	
  efficiencies	
  and	
  greater	
  effec8veness	
  in	
  state	
  
services;	
  increase	
  par8cipa8on	
  in	
  governmenE	
  process,	
  and	
  cool	
  apps	
  for	
  ci8zens	
  
(transport	
  etc)	
  making	
  the	
  city	
  more	
  aErac8ve	
  to	
  live	
  in	
  
•  media	
  (e.g.	
  wWazimap)	
  
•  social	
  audits	
  	
  
•  improve	
  local	
  government,	
  raise	
  the	
  civic	
  spirits,	
  increase	
  trust	
  between	
  ci8zens	
  
and	
  state	
  (IF	
  state	
  is	
  responsive	
  to	
  new	
  tools	
  and	
  the	
  feedback	
  into	
  the	
  system	
  
that	
  comes	
  from	
  that)	
  
	
  
	
  
9	
  
-­‐-­‐	
  inclusive	
  economic	
  growth	
  –	
  open	
  data	
  delivery	
  should	
  be	
  structured	
  in	
  a	
  way	
  that	
  
helps	
  to	
  bridge	
  inequality,	
  not	
  entrench	
  inequality	
  	
  
	
  
-­‐-­‐	
  A	
  lot	
  of	
  govt	
  data	
  is	
  collected	
  in	
  order	
  to	
  measure	
  ac8vi8es	
  –	
  but	
  how	
  can	
  this	
  data	
  
be	
  used	
  to	
  create	
  innova8ve	
  solu8ons?	
  	
  
10	
  
ODF	
  is	
  convened	
  by	
  the	
  EDP	
  
Different	
  interest	
  groups	
  working	
  on	
  the	
  implica8ons	
  of	
  open	
  data	
  for	
  their	
  sectors,	
  
and	
  for	
  how	
  they	
  work	
  with	
  government	
  (and	
  vica	
  versa)	
  
Join	
  in:	
  jodi@wcedp.co.za	
  
	
  
Note:	
  while	
  membership	
  is	
  free,	
  this	
  programme	
  is	
  under-­‐resourced,	
  we	
  rely	
  on	
  
partners	
  providing	
  their	
  own	
  #me,	
  venues	
  and	
  other	
  resources.	
  
11	
  
More	
  resources	
  on	
  the	
  green	
  economy	
  &	
  opportuni#es	
  in	
  tech:	
  
Western	
  Cape	
  Green	
  Economy	
  Report,	
  2014:	
  hEps://www.westerncape.gov.za/
110green/sites/green.westerncape.gov.za/files/documents/WCG%20Green
%20Economy%20Report%202014_0.pdf	
  	
  
	
  
•  Water	
  and	
  technology	
  in	
  a	
  transi8on	
  to	
  a	
  green	
  economy:	
  hEp://www.un.org/
waterforlifedecade/green_economy_2011/pdf/
info_brief_tools_technology_eng.pdf	
  	
  
•  Agriculture:	
  How	
  we	
  can	
  improve	
  agriculture,	
  food	
  and	
  water	
  with	
  open	
  data:	
  
hEp://www.godan.info/wp-­‐content/uploads/2015/04/ODI-­‐GODAN-­‐
paper-­‐27-­‐05-­‐20152.pdf	
  	
  
•  Air	
  Quality	
  (access	
  Cape	
  Town’s	
  air	
  quality	
  data	
  on	
  CCT	
  Open	
  data	
  portal)	
  
•  Waste	
  (access	
  Cape	
  Town’s	
  recycling	
  data	
  on	
  CCT	
  Open	
  data	
  portal)	
  
•  Energy	
  (Have	
  you	
  see	
  Durban’s	
  &	
  Google’s	
  respec8ve	
  solar	
  panel	
  poten8al	
  
mapping	
  tools?	
  Here	
  is	
  Durban’s:	
  hEp://www.durban.gov.za/City_Services/
energyoffice/Pages/Solar-­‐Map.aspx)	
  
•  Mobility	
  (low-­‐carbon	
  mobility	
  is	
  enabled	
  through	
  your	
  cell	
  phone...)	
  
•  Biodiversity	
  (access	
  on	
  relevant	
  data	
  and	
  research	
  on	
  the	
  CCT	
  open	
  data	
  portal,	
  
CapeNature,	
  or	
  Sustainable	
  Livelihoods	
  Founda8on)	
  
	
  
12	
  
These	
  ques#ons	
  will	
  not	
  tell	
  you	
  what	
  to	
  see,	
  but	
  rather	
  advise	
  on	
  where	
  to	
  look	
  
	
  
13	
  
Here	
  is	
  an	
  overview	
  of	
  the	
  ques8ons	
  that	
  you	
  can	
  cycle	
  through	
  throughout	
  the	
  
weekend.	
  
	
  
The	
  following	
  slides	
  unpack	
  these	
  in	
  more	
  detail,	
  and	
  provide	
  you	
  with	
  useful	
  ideas,	
  
examples	
  and	
  resources.	
  
	
  
Many	
  of	
  these	
  steps	
  are	
  interchangable	
  –	
  some	
  of	
  you	
  might	
  already	
  have	
  a	
  client,	
  
and	
  you’re	
  star8ng	
  with	
  empathy	
  for	
  their	
  needs.	
  Others	
  will	
  create	
  an	
  idea,	
  and	
  then	
  
think	
  about	
  the	
  client.	
  Make	
  it	
  an	
  itera8ve	
  process,	
  and	
  always	
  make	
  sure	
  you	
  have	
  
the	
  skills,	
  insight,	
  knowledge	
  required	
  to	
  understand	
  the	
  problem	
  you	
  are	
  addressing.	
  
	
  
14	
  
15	
  
1)  Spend	
  some	
  #me	
  thinking	
  about	
  the	
  Future	
  
	
  
Ask	
  kids	
  what	
  they	
  think	
  the	
  future	
  will	
  be	
  like…	
  
Be	
  the	
  catalyst	
  for	
  change,	
  not	
  the	
  obstacle,	
  or	
  at	
  the	
  very	
  least,	
  “ride	
  the	
  wave”	
  (vs.	
  
not	
  even	
  seeing	
  the	
  wave	
  coming,	
  or	
  standing	
  on	
  the	
  shore	
  analysing	
  the	
  reality,	
  size	
  
and	
  velocity	
  of	
  the	
  wave…)	
  
	
  
Expect	
  the	
  staircase	
  to	
  shiL…	
  disrup8ons	
  in	
  health,	
  water,	
  educa8on,	
  transport	
  +	
  -­‐	
  
are	
  you	
  the	
  next	
  disrupter?	
  
16	
  
2)	
  Think	
  about	
  scale:	
  are	
  you	
  building	
  a	
  prototype	
  to	
  sell	
  on	
  &	
  use	
  for	
  experience	
  or	
  
to	
  build	
  your	
  porPolio?	
  Or	
  are	
  you	
  growing	
  a	
  business?	
  
	
  
Ar8cle:	
  Don’t	
  do	
  a	
  startup,	
  build	
  a	
  business:	
  hEp://ventureburn.com/2015/09/dont-­‐
startup-­‐build-­‐business/	
  	
  
17	
  
3)	
  Diversify	
  your	
  team,	
  consult	
  &	
  collaborate	
  
	
  
This	
  image	
  is	
  just	
  an	
  example	
  –	
  the	
  exact	
  composi8on	
  and	
  skills,	
  (par8cularly	
  inner	
  
circle	
  on	
  the	
  diagram)	
  will	
  vary	
  greatly	
  based	
  on	
  the	
  idea.	
  
	
  
You	
  can	
  do	
  this	
  once	
  you	
  have	
  an	
  idea,	
  or	
  you	
  can	
  put	
  together	
  a	
  “dream	
  team”	
  of	
  
mixed	
  skills,	
  and	
  collabora8ve	
  people,	
  and	
  see	
  what	
  problems	
  and	
  solu8ons	
  you	
  
collec8vely	
  create.	
  
	
  
Resist	
  the	
  tempta#on	
  to	
  lead	
  with	
  the	
  tech,	
  lead	
  with	
  the	
  issue	
  you	
  are	
  solving.	
  
With	
  ci#es,	
  it	
  is	
  almost	
  certain	
  that	
  understanding	
  the	
  issue	
  will	
  requires	
  more	
  than	
  
just	
  technical	
  knowledge!	
  Chat	
  to	
  your	
  ethnographer,	
  anthropologist	
  or	
  marke#ng	
  
friends…	
  
	
  
A	
  note	
  on	
  language:	
  “Technical	
  Specialists”	
  =	
  “Subject	
  MaZer	
  Experts”	
  (SMEs)	
  
	
  
In	
  “government	
  speak”	
  these	
  are	
  technical	
  or	
  professional	
  officers;	
  in	
  “soLware	
  
developer	
  speak”	
  these	
  are	
  Subject	
  MaEer	
  Experts	
  (SMEs)	
  
	
  
18	
  
19	
  
4)	
  “Technology	
  is	
  the	
  answer,	
  but	
  what	
  is	
  the	
  ques#on?”	
  (Cedric	
  Price,	
  1956)	
  
What	
  city	
  or	
  ci8es	
  are	
  you	
  designing	
  for?	
  (tech	
  is	
  easily	
  exportable:	
  your	
  idea	
  doesn’t	
  
have	
  to	
  be	
  for	
  Cape	
  Town	
  –	
  Durban	
  also	
  has	
  Open	
  data,	
  as	
  do	
  many	
  African	
  ci8es;	
  
you	
  can	
  even	
  target	
  a	
  leading	
  Smart	
  City	
  in	
  Europe	
  or	
  America)	
  	
  
Get	
  to	
  know	
  your	
  market(s).	
  
	
  
Don’t	
  copy	
  and	
  paste	
  from	
  a	
  totally	
  different	
  context	
  and	
  think	
  it	
  will	
  work	
  here	
  in	
  
Cape	
  Town	
  –	
  our	
  system	
  fundamentals,	
  and	
  our	
  cultural	
  and	
  socio-­‐economic	
  factors,	
  
must	
  be	
  taken	
  in	
  to	
  considera8on	
  
	
  
20	
  
Think	
  big,	
  and	
  start	
  with	
  where	
  you	
  are:	
  what	
  is	
  something	
  that	
  you	
  would	
  find	
  
useful?	
  Is	
  this	
  something	
  that	
  many	
  e.g.	
  African	
  ci8es	
  might	
  also	
  benefit	
  from?	
  
•  Ci8es	
  are	
  complex	
  and	
  made	
  up	
  of	
  lots	
  of	
  parts:	
  
•  Housing	
  &	
  land	
  use	
  planning	
  
•  Transport	
  and	
  mobility	
  
•  Healthcare	
  
•  Educa8on	
  
•  Water	
  quality	
  
•  Air	
  quality	
  
•  Sanita8on	
  
•  Energy	
  
•  Social	
  care	
  (ECD	
  tools,	
  Apps	
  for	
  M&E	
  on	
  social	
  services?)	
  
•  Public	
  spaces,	
  parks,	
  libraries,	
  community	
  halls	
  –	
  can	
  we	
  have	
  an	
  app	
  to	
  find	
  the	
  
nearest	
  community	
  facility	
  (this	
  data	
  is	
  on	
  the	
  CCT	
  Open	
  Data	
  Portal)	
  and	
  rate	
  our	
  
experiences	
  of	
  them?	
  
•  Par8cipatory	
  structures	
  and	
  processes	
  (“have	
  your	
  say”,	
  open	
  budgets	
  and	
  open	
  
tenders	
  data	
  on	
  CCT	
  website)	
  –	
  what	
  other	
  ways	
  can	
  people	
  par8cipate	
  and	
  co-­‐
create	
  the	
  city?	
  
•  Here	
  are	
  examples	
  of	
  all	
  the	
  poten8al	
  that	
  street	
  lights	
  offer:	
  hEp://
www.oecd.org/s8/ieconomy/smart-­‐streetlight-­‐smart-­‐street-­‐smart-­‐city.pdf	
  	
  
	
  
21	
  
There	
  are	
  lots	
  of	
  typologies	
  out	
  there	
  to	
  help	
  you	
  find	
  your	
  niche…	
  
	
  
Here’s	
  one	
  from	
  the	
  Ripple	
  Effect	
  Group	
  that	
  looks	
  at	
  top-­‐down	
  vs	
  boEom-­‐up	
  
processes:	
  hEp://rippleffectgroup.com/2014/05/21/smarter-­‐smart-­‐intranets-­‐and-­‐
digital-­‐workplaces/	
  
	
  
	
  
	
  
22	
  
Here	
  are	
  some	
  more	
  typologies…	
  
	
  
(And	
  Google	
  image	
  will	
  lead	
  you	
  to	
  many,	
  many	
  more…)	
  
	
  
23	
  
5)	
  Think	
  outside	
  the	
  box	
  
	
  
While	
  a	
  cliched	
  saying,	
  do	
  think	
  about	
  integra8on	
  services,	
  or	
  meta	
  services.	
  	
  
	
  
An	
  example	
  of	
  this	
  is	
  an	
  App	
  that	
  helps	
  city	
  &	
  private	
  property	
  planners	
  and	
  
engineers	
  evaluate	
  the	
  universal	
  accessibility	
  of	
  their	
  design	
  –	
  its	
  not	
  doing	
  universal	
  
design,	
  its	
  helping	
  designers	
  think	
  about	
  this.	
  This	
  has	
  been	
  developed	
  locally	
  by	
  
Universal	
  Design	
  Africa:	
  hEp://www.udafrica.com	
  
	
  
Can	
  you	
  make	
  an	
  App	
  that	
  helps	
  city	
  planners	
  think	
  about	
  “smart”	
  when	
  doing	
  their	
  
designs?	
  How	
  would	
  a	
  transport	
  engineer	
  think	
  differently	
  using	
  a	
  tool	
  you	
  create	
  for	
  
her?	
  
24	
  
6)	
  Where	
  in	
  the	
  city	
  are	
  you	
  intervening/supply	
  a	
  solu#on	
  for?	
  
	
  
System	
  (read	
  the	
  fundamentals	
  from	
  boZom-­‐up):	
  	
  
•  Algorithms	
  (translates	
  data	
  into	
  value:	
  analy8cs	
  and	
  visualiza8on,	
  alerts,	
  reports)	
  	
  	
  
•  Screens	
  (this	
  is	
  an	
  access	
  issue	
  –	
  open	
  data	
  is	
  not	
  accessible	
  to	
  everyone;	
  we	
  need	
  
a	
  portal,	
  APIs,	
  and	
  visualisa8ons	
  and	
  applica8ons	
  of	
  the	
  data;	
  we	
  also	
  need	
  people	
  
to	
  have	
  access	
  to	
  screens	
  connected	
  to	
  the	
  web;	
  and	
  have	
  the	
  literacy	
  to	
  use	
  and/
or	
  produce	
  technology	
  and	
  related	
  content)	
  	
  	
  
•  Data	
  Governance	
  (policy	
  must	
  in	
  touch	
  with	
  security	
  concerns,	
  and	
  ci8zen	
  
concerns	
  more	
  than	
  poli8cal	
  concerns	
  –	
  luckily	
  global	
  standards	
  for	
  privacy,	
  
cleaning	
  data	
  of	
  iden8fying	
  informa8on,	
  and	
  meta-­‐data	
  standards	
  exist;	
  policy	
  
might	
  also	
  inform	
  aspects	
  around	
  data	
  colleciton	
  that	
  influence	
  the	
  “Vs”	
  of	
  Big	
  
Data)	
  	
  	
  
•  Sensors	
  (sensors	
  in	
  water,	
  energy,	
  traffic	
  lights	
  etc	
  -­‐	
  environmental	
  quality,	
  water	
  
quality,	
  light,	
  noise	
  etc	
  -­‐-­‐	
  real	
  8me	
  transmission	
  to	
  open	
  data	
  portal	
  as	
  per	
  
Chicago,	
  builds	
  trust	
  in	
  govt.	
  Collec8ng	
  more	
  and	
  more	
  data)	
  and	
  (the	
  old	
  way,	
  but	
  
important	
  for	
  qualita8ve	
  and	
  demographic:	
  surveys	
  -­‐	
  can	
  these	
  also	
  be	
  electronic	
  
and	
  more	
  regular?)	
  
•  Database	
  management:	
  start	
  with	
  inventory	
  of	
  what	
  is	
  known	
  (databases)	
  and	
  
what	
  could	
  be	
  known	
  	
  (what	
  is	
  known:	
  how	
  can	
  this	
  data	
  applied	
  to	
  be	
  more	
  
valuable?;	
  what	
  is	
  not	
  known:	
  are	
  their	
  opportuni8es	
  for	
  collec8on	
  through	
  smart	
  	
  
25	
  
Reuse:	
  
•  Your	
  product	
  or	
  service	
  may	
  create	
  new	
  data	
  available	
  for	
  –re-­‐use	
  in	
  another	
  
process	
  (e.g.	
  GoMetro	
  produces	
  data	
  of	
  poten@ally	
  of	
  use	
  to	
  transport	
  planners	
  
and	
  operators)	
  
	
  
ISOs	
  exist	
  for	
  sensors,	
  data	
  governance,	
  portals	
  and	
  more	
  
	
  
Look	
  for	
  OpenSource	
  plaIorms,	
  tools,	
  chips	
  and	
  more	
  
26	
  
7)	
  Who	
  is	
  your	
  client?	
  And	
  what	
  is	
  the	
  model	
  (once	
  off	
  sale,	
  regular	
  subscrip#on	
  
service,	
  partnering..?)	
  
UX	
  is	
  a	
  specialised	
  field,	
  understand	
  your	
  user	
  needs,	
  build	
  so	
  that	
  they	
  don’t	
  need	
  to	
  
“think”	
  	
  
	
  
If	
  government	
  is	
  your	
  intended	
  client,	
  THINK	
  CREATIVELY:	
  government	
  procurement	
  
systems	
  are	
  very	
  difficult	
  to	
  navigate,	
  and	
  typically	
  do	
  not	
  favour	
  innova8on	
  or	
  
pitches	
  (“unsolicited	
  bids”)	
  
•  Consider	
  going	
  “over	
  the	
  top”	
  direct	
  to	
  the	
  consumer,	
  or	
  to	
  a	
  service	
  provider	
  of	
  
government	
  (e.g.	
  the	
  transport	
  consultants;	
  or	
  the	
  traffic-­‐light	
  light	
  bulb	
  
suppliers..)	
  
•  Engage	
  with	
  public	
  sector	
  reform	
  for	
  procurement	
  of	
  innova8on	
  for	
  smarter	
  and	
  
greener	
  ci8es	
  through	
  the	
  Open	
  Data	
  Forum	
  or	
  the	
  Regional	
  Innova8on	
  Network	
  	
  
27	
  
28	
  
29	
  
Some	
  local	
  and	
  global	
  players	
  who	
  can	
  approach	
  for	
  insight,	
  skills,	
  services,	
  
networking	
  or	
  collabora8ons.	
  
	
  
30	
  
31	
  
32	
  
33	
  
There	
  are	
  many	
  research	
  and	
  private	
  and	
  non-­‐profit	
  efforts	
  around	
  the	
  growth	
  of	
  
urbanisa#on,	
  the	
  growth	
  in	
  data	
  and	
  tech;	
  and	
  how	
  these	
  intersect,	
  here	
  are	
  just	
  a	
  
few	
  	
  
	
  
MIT	
  has	
  no	
  fewer	
  than	
  four	
  separate	
  research	
  groups	
  focusing	
  on	
  this	
  issue	
  	
  
	
  
34	
  
This	
  is	
  not	
  an	
  advocacy	
  effort	
  for	
  techno-­‐topia…	
  
There	
  are	
  many	
  limita8ons	
  to	
  technical	
  solu8ons	
  for	
  human	
  challenges.	
  Let	
  us	
  not	
  be	
  
convinced	
  that	
  we	
  can	
  solve	
  poverty,	
  inequality,	
  rapid	
  urbanisa8on,	
  economic	
  and	
  
environmental	
  instability	
  from	
  behind	
  our	
  laptops.	
  	
  	
  
	
  
PEOPLE	
  must	
  be	
  at	
  the	
  heart	
  of	
  your	
  process.	
  	
  
We	
  will	
  always	
  need	
  qualita8ve	
  insights	
  and	
  nuances	
  and	
  stories	
  from	
  the	
  ground	
  
and	
  site	
  visits…	
  	
  
	
  
35	
  
Get	
  in	
  touch	
  &	
  follow	
  our	
  updates!	
  
	
  
36	
  

More Related Content

What's hot

Proposal: A new City of Oakland Technology Commission
Proposal: A new City of Oakland Technology Commission Proposal: A new City of Oakland Technology Commission
Proposal: A new City of Oakland Technology Commission
Phil Wolff
 
Introduction to Exponentials Insights 2016
Introduction to Exponentials Insights 2016Introduction to Exponentials Insights 2016
Introduction to Exponentials Insights 2016
Dean Bonehill ♠Technology for Business♠
 
Patient Heal Thyself
Patient Heal ThyselfPatient Heal Thyself
Patient Heal Thyself
University of Hertfordshire
 
Exponential Companies or the end of the Big Corporations
Exponential Companies or the end of the Big CorporationsExponential Companies or the end of the Big Corporations
Exponential Companies or the end of the Big Corporations
Olivier Gramaccia
 
Crowdfunding and crowd sourcing
Crowdfunding and crowd sourcingCrowdfunding and crowd sourcing
Crowdfunding and crowd sourcing
Somerco Research
 
Connect, communicate, collaborate
Connect, communicate, collaborateConnect, communicate, collaborate
Connect, communicate, collaborate
University of Hertfordshire
 
Cisco Live 2014: IoE in Action Public Sector Media Session
Cisco Live 2014: IoE in Action Public Sector Media SessionCisco Live 2014: IoE in Action Public Sector Media Session
Cisco Live 2014: IoE in Action Public Sector Media SessionMarc Musgrove
 
What could kill NSTIC? A friendly threat assessment in 3 parts.
What could kill NSTIC? A friendly threat assessment in 3 parts.What could kill NSTIC? A friendly threat assessment in 3 parts.
What could kill NSTIC? A friendly threat assessment in 3 parts.
Phil Wolff
 
New Industrial Revolution for Bestseller 2020
New Industrial Revolution for Bestseller 2020New Industrial Revolution for Bestseller 2020
New Industrial Revolution for Bestseller 2020
Robin Teigland
 
Booz Allen Field Guide to Data Science
Booz Allen Field Guide to Data Science Booz Allen Field Guide to Data Science
Booz Allen Field Guide to Data Science
Booz Allen Hamilton
 
How I accidentally built a tech startup — without any technological knowledge
How I accidentally built a tech startup — without any technological knowledgeHow I accidentally built a tech startup — without any technological knowledge
How I accidentally built a tech startup — without any technological knowledge
Dharmendra Rama
 
Exponential organizations Teodor Panayotov 10.11.14
Exponential organizations Teodor Panayotov 10.11.14Exponential organizations Teodor Panayotov 10.11.14
Exponential organizations Teodor Panayotov 10.11.14
Teodor V Panayotov
 
The World in 2025 - Future Agenda (2016)
The World in 2025 - Future Agenda (2016)The World in 2025 - Future Agenda (2016)
The World in 2025 - Future Agenda (2016)
Tim Jones
 
5 Strategies to Avoid the Digital Riptide
5 Strategies to Avoid the Digital Riptide5 Strategies to Avoid the Digital Riptide
5 Strategies to Avoid the Digital Riptide
John Mancini
 
Experience Probes for Exploring the Impact of Novel Products
Experience Probes for Exploring the Impact of Novel ProductsExperience Probes for Exploring the Impact of Novel Products
Experience Probes for Exploring the Impact of Novel Products
Mike Kuniavsky
 
Quantum Computing in Financial Services Executive Summary
Quantum Computing in Financial Services Executive SummaryQuantum Computing in Financial Services Executive Summary
Quantum Computing in Financial Services Executive Summary
MEDICI Inner Circle
 
Tom Davenport, Automation vs Augmentation; Big Data Summit 2015
Tom Davenport, Automation vs Augmentation; Big Data Summit 2015Tom Davenport, Automation vs Augmentation; Big Data Summit 2015
Tom Davenport, Automation vs Augmentation; Big Data Summit 2015
MassTLC
 
Career 3.0
Career 3.0Career 3.0
Career 3.0
John Pollock
 
Fibre broadband futures
Fibre broadband futuresFibre broadband futures
Fibre broadband futures
University of Hertfordshire
 
3.18.11 tim clark talk notes
3.18.11 tim clark talk notes3.18.11 tim clark talk notes
3.18.11 tim clark talk notesspicyben
 

What's hot (20)

Proposal: A new City of Oakland Technology Commission
Proposal: A new City of Oakland Technology Commission Proposal: A new City of Oakland Technology Commission
Proposal: A new City of Oakland Technology Commission
 
Introduction to Exponentials Insights 2016
Introduction to Exponentials Insights 2016Introduction to Exponentials Insights 2016
Introduction to Exponentials Insights 2016
 
Patient Heal Thyself
Patient Heal ThyselfPatient Heal Thyself
Patient Heal Thyself
 
Exponential Companies or the end of the Big Corporations
Exponential Companies or the end of the Big CorporationsExponential Companies or the end of the Big Corporations
Exponential Companies or the end of the Big Corporations
 
Crowdfunding and crowd sourcing
Crowdfunding and crowd sourcingCrowdfunding and crowd sourcing
Crowdfunding and crowd sourcing
 
Connect, communicate, collaborate
Connect, communicate, collaborateConnect, communicate, collaborate
Connect, communicate, collaborate
 
Cisco Live 2014: IoE in Action Public Sector Media Session
Cisco Live 2014: IoE in Action Public Sector Media SessionCisco Live 2014: IoE in Action Public Sector Media Session
Cisco Live 2014: IoE in Action Public Sector Media Session
 
What could kill NSTIC? A friendly threat assessment in 3 parts.
What could kill NSTIC? A friendly threat assessment in 3 parts.What could kill NSTIC? A friendly threat assessment in 3 parts.
What could kill NSTIC? A friendly threat assessment in 3 parts.
 
New Industrial Revolution for Bestseller 2020
New Industrial Revolution for Bestseller 2020New Industrial Revolution for Bestseller 2020
New Industrial Revolution for Bestseller 2020
 
Booz Allen Field Guide to Data Science
Booz Allen Field Guide to Data Science Booz Allen Field Guide to Data Science
Booz Allen Field Guide to Data Science
 
How I accidentally built a tech startup — without any technological knowledge
How I accidentally built a tech startup — without any technological knowledgeHow I accidentally built a tech startup — without any technological knowledge
How I accidentally built a tech startup — without any technological knowledge
 
Exponential organizations Teodor Panayotov 10.11.14
Exponential organizations Teodor Panayotov 10.11.14Exponential organizations Teodor Panayotov 10.11.14
Exponential organizations Teodor Panayotov 10.11.14
 
The World in 2025 - Future Agenda (2016)
The World in 2025 - Future Agenda (2016)The World in 2025 - Future Agenda (2016)
The World in 2025 - Future Agenda (2016)
 
5 Strategies to Avoid the Digital Riptide
5 Strategies to Avoid the Digital Riptide5 Strategies to Avoid the Digital Riptide
5 Strategies to Avoid the Digital Riptide
 
Experience Probes for Exploring the Impact of Novel Products
Experience Probes for Exploring the Impact of Novel ProductsExperience Probes for Exploring the Impact of Novel Products
Experience Probes for Exploring the Impact of Novel Products
 
Quantum Computing in Financial Services Executive Summary
Quantum Computing in Financial Services Executive SummaryQuantum Computing in Financial Services Executive Summary
Quantum Computing in Financial Services Executive Summary
 
Tom Davenport, Automation vs Augmentation; Big Data Summit 2015
Tom Davenport, Automation vs Augmentation; Big Data Summit 2015Tom Davenport, Automation vs Augmentation; Big Data Summit 2015
Tom Davenport, Automation vs Augmentation; Big Data Summit 2015
 
Career 3.0
Career 3.0Career 3.0
Career 3.0
 
Fibre broadband futures
Fibre broadband futuresFibre broadband futures
Fibre broadband futures
 
3.18.11 tim clark talk notes
3.18.11 tim clark talk notes3.18.11 tim clark talk notes
3.18.11 tim clark talk notes
 

Similar to Smart cities and open data

Fastrack institute Overview (Feb 2018)
Fastrack institute  Overview (Feb 2018)Fastrack institute  Overview (Feb 2018)
Fastrack institute Overview (Feb 2018)
ProductionScale
 
CyberSalon - Smart Citizens, Cities & the Case for CitySDK
CyberSalon - Smart Citizens, Cities & the Case for CitySDKCyberSalon - Smart Citizens, Cities & the Case for CitySDK
CyberSalon - Smart Citizens, Cities & the Case for CitySDK
Frank Kresin
 
ebusiness Strategy in Entrepreneurship 2: Pedro Eloy at SMECC - 20130903
ebusiness Strategy in Entrepreneurship 2: Pedro Eloy at SMECC - 20130903ebusiness Strategy in Entrepreneurship 2: Pedro Eloy at SMECC - 20130903
ebusiness Strategy in Entrepreneurship 2: Pedro Eloy at SMECC - 20130903smecchk
 
ebusiness Strategy in Entrepreneurship 1: Pedro Eloy at SMECC - 20130806
ebusiness Strategy in Entrepreneurship 1: Pedro Eloy at SMECC - 20130806ebusiness Strategy in Entrepreneurship 1: Pedro Eloy at SMECC - 20130806
ebusiness Strategy in Entrepreneurship 1: Pedro Eloy at SMECC - 20130806smecchk
 
SMACT and the City: How will the Internet of Things Change our Cities?
SMACT and the City: How will the Internet of Things Change our Cities?SMACT and the City: How will the Internet of Things Change our Cities?
SMACT and the City: How will the Internet of Things Change our Cities?
VINTlabs | The Sogeti Trendlab
 
4 External Forces Accelerating the Smart City Model
4 External Forces Accelerating the Smart City Model4 External Forces Accelerating the Smart City Model
4 External Forces Accelerating the Smart City Model
Dialexa
 
Enabling the digital business
Enabling the digital businessEnabling the digital business
Enabling the digital business
Daisy Group
 
D2 d 4-design 2 disrupt - mastering digital disruption with devops - en-web
D2 d 4-design 2 disrupt - mastering digital disruption with devops - en-webD2 d 4-design 2 disrupt - mastering digital disruption with devops - en-web
D2 d 4-design 2 disrupt - mastering digital disruption with devops - en-web
Rick Bouter
 
Report 4 design to disrupt devops eng - D2d Design 2 Disrupt
Report 4 design to disrupt devops eng - D2d Design 2 DisruptReport 4 design to disrupt devops eng - D2d Design 2 Disrupt
Report 4 design to disrupt devops eng - D2d Design 2 Disrupt
Rick Bouter
 
Rob van Kranenburg @ Thingscon Amsterdam
Rob van Kranenburg @ Thingscon AmsterdamRob van Kranenburg @ Thingscon Amsterdam
Rob van Kranenburg @ Thingscon Amsterdam
CLICKNL
 
ThingsConAMS - Stakeholders in a new world - Rob van Kranenburg
ThingsConAMS - Stakeholders in a new world - Rob van KranenburgThingsConAMS - Stakeholders in a new world - Rob van Kranenburg
ThingsConAMS - Stakeholders in a new world - Rob van Kranenburg
ThingsConAMS
 
CLICKNL DRIVE 2018 | 24 OCT | Designing with Future Emerging Technologies
CLICKNL DRIVE 2018 | 24 OCT | Designing with Future Emerging TechnologiesCLICKNL DRIVE 2018 | 24 OCT | Designing with Future Emerging Technologies
CLICKNL DRIVE 2018 | 24 OCT | Designing with Future Emerging Technologies
CLICKNL
 
how_the_digitalchannels_shape_the_future_of_shopping
how_the_digitalchannels_shape_the_future_of_shoppinghow_the_digitalchannels_shape_the_future_of_shopping
how_the_digitalchannels_shape_the_future_of_shoppingKarl Fredrik Lund
 
The Cognitive Digital Twin
The Cognitive Digital TwinThe Cognitive Digital Twin
The Cognitive Digital Twin
Dr. Ahmed El Adl, Ph.D.
 
The 2015 Innovation Forecast Report
The 2015 Innovation Forecast ReportThe 2015 Innovation Forecast Report
The 2015 Innovation Forecast Report
Wojciech Drewczyński
 
William Jephcote | Human-Centred Designer | Portfolio
William Jephcote   |   Human-Centred Designer   |   PortfolioWilliam Jephcote   |   Human-Centred Designer   |   Portfolio
William Jephcote | Human-Centred Designer | Portfolio
WilliamJephcote
 
mskanber-deloitte-nl-ps-smart-cities-report
mskanber-deloitte-nl-ps-smart-cities-reportmskanber-deloitte-nl-ps-smart-cities-report
mskanber-deloitte-nl-ps-smart-cities-reportM. Salih KANBER
 
Personal Footprint Account – degrowth conference 2014 – open space presentation
Personal Footprint Account – degrowth conference 2014 – open space presentationPersonal Footprint Account – degrowth conference 2014 – open space presentation
Personal Footprint Account – degrowth conference 2014 – open space presentation
Willi Schroll
 
Quarterly insights 2016 q3
Quarterly insights 2016 q3Quarterly insights 2016 q3
Quarterly insights 2016 q3
Mary Basel Christopher
 
Quarterly insights 2016 q3
Quarterly insights 2016 q3Quarterly insights 2016 q3
Quarterly insights 2016 q3
Mary Basel Christopher
 

Similar to Smart cities and open data (20)

Fastrack institute Overview (Feb 2018)
Fastrack institute  Overview (Feb 2018)Fastrack institute  Overview (Feb 2018)
Fastrack institute Overview (Feb 2018)
 
CyberSalon - Smart Citizens, Cities & the Case for CitySDK
CyberSalon - Smart Citizens, Cities & the Case for CitySDKCyberSalon - Smart Citizens, Cities & the Case for CitySDK
CyberSalon - Smart Citizens, Cities & the Case for CitySDK
 
ebusiness Strategy in Entrepreneurship 2: Pedro Eloy at SMECC - 20130903
ebusiness Strategy in Entrepreneurship 2: Pedro Eloy at SMECC - 20130903ebusiness Strategy in Entrepreneurship 2: Pedro Eloy at SMECC - 20130903
ebusiness Strategy in Entrepreneurship 2: Pedro Eloy at SMECC - 20130903
 
ebusiness Strategy in Entrepreneurship 1: Pedro Eloy at SMECC - 20130806
ebusiness Strategy in Entrepreneurship 1: Pedro Eloy at SMECC - 20130806ebusiness Strategy in Entrepreneurship 1: Pedro Eloy at SMECC - 20130806
ebusiness Strategy in Entrepreneurship 1: Pedro Eloy at SMECC - 20130806
 
SMACT and the City: How will the Internet of Things Change our Cities?
SMACT and the City: How will the Internet of Things Change our Cities?SMACT and the City: How will the Internet of Things Change our Cities?
SMACT and the City: How will the Internet of Things Change our Cities?
 
4 External Forces Accelerating the Smart City Model
4 External Forces Accelerating the Smart City Model4 External Forces Accelerating the Smart City Model
4 External Forces Accelerating the Smart City Model
 
Enabling the digital business
Enabling the digital businessEnabling the digital business
Enabling the digital business
 
D2 d 4-design 2 disrupt - mastering digital disruption with devops - en-web
D2 d 4-design 2 disrupt - mastering digital disruption with devops - en-webD2 d 4-design 2 disrupt - mastering digital disruption with devops - en-web
D2 d 4-design 2 disrupt - mastering digital disruption with devops - en-web
 
Report 4 design to disrupt devops eng - D2d Design 2 Disrupt
Report 4 design to disrupt devops eng - D2d Design 2 DisruptReport 4 design to disrupt devops eng - D2d Design 2 Disrupt
Report 4 design to disrupt devops eng - D2d Design 2 Disrupt
 
Rob van Kranenburg @ Thingscon Amsterdam
Rob van Kranenburg @ Thingscon AmsterdamRob van Kranenburg @ Thingscon Amsterdam
Rob van Kranenburg @ Thingscon Amsterdam
 
ThingsConAMS - Stakeholders in a new world - Rob van Kranenburg
ThingsConAMS - Stakeholders in a new world - Rob van KranenburgThingsConAMS - Stakeholders in a new world - Rob van Kranenburg
ThingsConAMS - Stakeholders in a new world - Rob van Kranenburg
 
CLICKNL DRIVE 2018 | 24 OCT | Designing with Future Emerging Technologies
CLICKNL DRIVE 2018 | 24 OCT | Designing with Future Emerging TechnologiesCLICKNL DRIVE 2018 | 24 OCT | Designing with Future Emerging Technologies
CLICKNL DRIVE 2018 | 24 OCT | Designing with Future Emerging Technologies
 
how_the_digitalchannels_shape_the_future_of_shopping
how_the_digitalchannels_shape_the_future_of_shoppinghow_the_digitalchannels_shape_the_future_of_shopping
how_the_digitalchannels_shape_the_future_of_shopping
 
The Cognitive Digital Twin
The Cognitive Digital TwinThe Cognitive Digital Twin
The Cognitive Digital Twin
 
The 2015 Innovation Forecast Report
The 2015 Innovation Forecast ReportThe 2015 Innovation Forecast Report
The 2015 Innovation Forecast Report
 
William Jephcote | Human-Centred Designer | Portfolio
William Jephcote   |   Human-Centred Designer   |   PortfolioWilliam Jephcote   |   Human-Centred Designer   |   Portfolio
William Jephcote | Human-Centred Designer | Portfolio
 
mskanber-deloitte-nl-ps-smart-cities-report
mskanber-deloitte-nl-ps-smart-cities-reportmskanber-deloitte-nl-ps-smart-cities-report
mskanber-deloitte-nl-ps-smart-cities-report
 
Personal Footprint Account – degrowth conference 2014 – open space presentation
Personal Footprint Account – degrowth conference 2014 – open space presentationPersonal Footprint Account – degrowth conference 2014 – open space presentation
Personal Footprint Account – degrowth conference 2014 – open space presentation
 
Quarterly insights 2016 q3
Quarterly insights 2016 q3Quarterly insights 2016 q3
Quarterly insights 2016 q3
 
Quarterly insights 2016 q3
Quarterly insights 2016 q3Quarterly insights 2016 q3
Quarterly insights 2016 q3
 

Recently uploaded

Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
OnBoard
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Welocme to ViralQR, your best QR code generator.
Welocme to ViralQR, your best QR code generator.Welocme to ViralQR, your best QR code generator.
Welocme to ViralQR, your best QR code generator.
ViralQR
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Nexer Digital
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
Dorra BARTAGUIZ
 
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
UiPathCommunity
 
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfSAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
Peter Spielvogel
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 

Recently uploaded (20)

Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Welocme to ViralQR, your best QR code generator.
Welocme to ViralQR, your best QR code generator.Welocme to ViralQR, your best QR code generator.
Welocme to ViralQR, your best QR code generator.
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
 
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
 
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfSAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 

Smart cities and open data

  • 1. We  have  5  minutes  to  talk  to  a  group  of  tech  and  business  entrepreneurs   par8cipa8ng  in  a  weekend  of  startup  brainstorming  at  #StartUpWeekend  in   Khayelitsha,  Cape  Town.     This  is  a  “leave  behind”  toolkit  that  aEendees  can  use  throughout  the  weekend,  and   beyond.     It  consists  of  a  series  of  ques8ons,  prompts  and  resources  that  can  help  to  refine  the   idea  and  business  model  adopted.       These  are  not  necessarily  sequen8al,  but  can  be  seen  as  an  “itera8ve”  process  –  use   them  in  the  order  best  suited  to  you  and  your  team,  and  feel  free  to  come  back  to   any  ques8on  at  any  stage  of  your  process.     1  
  • 2. These  ques8ons  will  not  tell  you  what  to  see,  but  rather  advice  on  where  to  look     2  
  • 3. The  world  is  changing  at  a  rapid  pace.  Watch  some  of  the  “ShiL  Happens”  and  “Did   you  know”  videos  in  Youtube  for  some  ideas  about  the  pace,  scale  and  direc8on  of   change:   ShiL  Happens  (2014  Remix):  hEps://www.youtube.com/watch?v=PcZg51Il9no     Did  you  know,  in  2028:  hEps://www.youtube.com/watch?v=QpEFjWbXog0     This  has  implica8ons  for  (almost)  every  aspect  of  our  lives.       We  are  seeing  more  “city  data”  and  “city  tech”  research  groups  at  top  univers88es,   state  and  privately  funded  R&D  Labs  for  these  themes       We  see  economic  consul8ng  and  city  planning  and  engineering  shiLing  from  the   produc8on  of  sta8c  reports  and  plans,  to  dynamic  tools  that  respond  to  (almost)  real   8me  changes  in  variables     “Mobile  phones  are  the  new  mobility  –  with  Apps  that  tell  us  where  to  move,  what   mode  of  transport  to  use,  and  that  help  us  book  8ckets  or  call  a  cab,  our  mobility  is   inextricably  linked  to  our  phones”  –  do  you  agree?  What  will  be  the  next  “disrupter”   in  this  space?  Locally,  we  already  have  many,  like  GoMetro;  Locomute,  Uber  and   more!     3  
  • 4. “The  new  norm  is  uncertainty  and  technology  is  in  the  drivers  seat”  –  John  Rendon     At  the  same  8me,  globally  as  much  as  locally,  we  witness  a  disconnect  between   centres  of  power,  and  people  on  street.  People  want  par8cipa8on,  they  want   feedback,  and  they  want  responses  to  their  needs,  ideas,  complaints…  when  they  do   not  have  construc8ve  plamorms  for  this,  they  oLen  turn  to  one  of  the  oldest   plamorms:  the  street     With  rapid  urbanisa8on,  and  hard  economic  8mes  (now  more  than  ever?)  we  need  to   make  efficient  use  of  physical  infrastructure  (our  roads,  our  built  environment,  our   water,  energy  and  transport  networks  and  other  physical  assets).  Ar8ficial   intelligence  and  data  analy8cs  are  suppor8ng  not  only  this  –  but  also  economic,  social   and  cultural  development.       By  improving  the  intelligence  of  the  city,  we  can  learn,  adapt  and  innovate  and   thereby  respond  more  effec8vely  and  promptly  to  changing  circumstances  (Smart   City,  Wikipedia)     John  Rendon  divides  countries  in  to  four  types:   •  those  who  have  already  ridden  the  wave  of  transi8on,  landed  on  the  beach,  and   are  saying  “what  a  ride”:  we  can  learn  lessons  from  these  places     •  those  who  have  ridden  the  wave,  and  are  messed  up,  have  their  back  to  the  series   of  waves  s8ll  coming   •  those  who  are  in  the  water,  but  wai8ng  for  the  wave,  ready  to  ride  it   •  those  who  don't  even  see  the  water  yet         I  would  add  a  5th:  those  who  see  the  wave  coming,  are  watching  it  come  closer,  and   are  over-­‐analysing  the  size  and  speed  of  the  wave,  while  its  about  to  crash  right  over   them     Big  companies,  like  Google,  IBM,  Siemens,  SAP  –  they  see  the  wave.  They  are   benefi8ng  by  locking  Ci8es  in  to  proprietary  systems.       They  are  also  inves8ng  heavily  in  R&D:  Google  has  collaborated  with  Doctoroff  on   their  project  SideWalk  Labs,  with  applies  technology  to  solving  urban  problems     Young  popula8ons  +    high  growth  in  technology  =  new  expecta8ons  (of  service   providers,  of  democra8c  process,  of  employers…)   •  we  are  currently  preparing  students  for  jobs  that  don’t  yet  exist,  using   technologies  that  don’t  yet  exist,  solving  problems  that  we  might  not  even  know   exist   •  yet  our  classrooms  look  the  same  as  they  did  half  a  century  ago   4  
  • 5. There  is  an  emerging  emphasis  on  collabora8on  and  learning  together,  not  "being   taught"    -­‐  online  efforts  like  “brilliantminds.org”  –  and  then  we  see  15year  olds   developing  tech,  cures  etc       Disrup8ons:  “expect  the  staircase  to  move”  (John  Rendon  again)   •  Ci8es  are  increasingly  recognised  as  prominent  as  centres  of  power  and  innova8on   •  The  public  librariarian  now  needs  to  be  an  open  data  expert     •  Ci8es  are  shiLing  from  policies  &  plans,  to  principles  and  tools   •  From  sta8c  reports,  to  algorithm-­‐driven  models       Traffic,  8nkering  and  stop  lights:   •  Business  as  usual  /  government  8nkering:  “we  don't  build  a  traffic  light  un8l  there   are  enough  accidents,  regardless  of  how  many  people  have  asked  for  a  traffic   light”   •  the  tech,  par8cipatory  govt.  wave  is  not  one  that  can  be  8nkered  through.       Another  example:  “we  check  water  services  on  a  rota8onal  basis,  and  address   problems  as  we  find  them”  vs.  “we  respond  to  real-­‐8me  feeds  on  water  quality  and   flows  from  sensors  that  exist  through  the  water  system”     Don't  view  the  world  as  a  "transac8on  economy"  -­‐  compe88on,  and  transac8ons  on   set  terms       But  a  rela8onship,  a  nego8a8on,  collabora8on  and  compe88on         Ci#es  are  complex,  not  complicated:   Complicated  problem  is  unpacked,  solved  in  pieces  and  aggregated  for  a  broad   systems  engineering  solu8on     Complex  problems  change  when  you  engage  with  them…       5  
  • 6. Important  reading:   7  steps  to  a  smart  city:  hEp://theurbantechnologist.com/seven-­‐steps-­‐to-­‐a-­‐smarter-­‐ city/     6  inconvenient  truths  about  smart  ci8es:  hEp://theurbantechnologist.com/ 2015/02/15/6-­‐inconvenient-­‐truths-­‐about-­‐smart-­‐ci8es/     Best  prac8ce  from  Responsive  Ci8es:  hEp://www.amazon.com/The-­‐Responsive-­‐City-­‐ Communi8es-­‐Data-­‐Smart/dp/1118910907     Open  vs  proprietary:  hEps://www.fiware.org/2015/03/25/fiware-­‐a-­‐standard-­‐open-­‐ plamorm-­‐for-­‐smart-­‐ci8es/     Towards  open  urban  plamorms  for  smart  ci8es  and  communi8es:  hEp:// ec.europa.eu/digital-­‐agenda/en/news/memorandum-­‐understanding-­‐towards-­‐open-­‐ urban-­‐plamorms-­‐smart-­‐ci8es-­‐and-­‐communi8es       Proprietary  is  oLen  easier  to  procure,  but  risks  locking  a  city  in  to  a  single  service   provider,  with  very  costly  licensing  fees,  update  fees  etc.       The  entrepreneur  also  has  more  opportuni8es  to  tap-­‐in  to  an  open,  global  system,   than  to  try  and  connect  to  a  proprietary  backbone.   6  
  • 7. Components  of  Smart  City  Architecture:  hEp://theurbantechnologist.com/seven-­‐ steps-­‐to-­‐a-­‐smarter-­‐city/     7  
  • 8. Please  find  more  info  on  the  local  open  data  ecosystem  here:   hEp://www.wcedp.co.za/eic/blog/edp-­‐presents-­‐at-­‐erln-­‐technical-­‐working-­‐group-­‐on-­‐ data       Open  data  for  Smart  Ci#es:  hEp://www.slideshare.net/soeren1611/open-­‐data-­‐for-­‐ smart-­‐ci8es       Why  Open  Data?   •  Govt.  produces  a  lot  of  data  –  untapped  value   •  Enhances  transparency  &  innova8on   •  The  value  of  data  supports  the  business  case  for  digital  economy,  digi8cally   compe88ve  city,  smart  city  and  vica  versa   •  There  are  no  at-­‐scale  “person-­‐centred  outcomes”  from  smart  city  ini8a8ves  if  its   not  also  open   •  The  web  has  engendered  a  culture  of,  and  expecta8on  for,  openness  that   everyone  can  par8cipate  in:  we  expect  service  providers,  including  the  state,  to   respond  on  twiEer,  to  have  Apps,  to  adapt  to  real-­‐8me  feedback  and  trends   •  The  outputs  of  open  data  can  be  complimentary  to  other  objec8ves:  e.g.   Intelligent  Mobility  and  Public  Transport     •  This  requires  intermediaries  to  support  understanding  between  the  subject   maEer  experts  (e.g.  transport  planners)  and  techies.  Other  ci8es  have     8  
  • 9. Many  interests  converge:   •  innova8on,  entrepreneurship  &  commercial   •  govt.  solu8on  finding,  crea8on  of  efficiencies  and  greater  effec8veness  in  state   services;  increase  par8cipa8on  in  governmenE  process,  and  cool  apps  for  ci8zens   (transport  etc)  making  the  city  more  aErac8ve  to  live  in   •  media  (e.g.  wWazimap)   •  social  audits     •  improve  local  government,  raise  the  civic  spirits,  increase  trust  between  ci8zens   and  state  (IF  state  is  responsive  to  new  tools  and  the  feedback  into  the  system   that  comes  from  that)       9  
  • 10. -­‐-­‐  inclusive  economic  growth  –  open  data  delivery  should  be  structured  in  a  way  that   helps  to  bridge  inequality,  not  entrench  inequality       -­‐-­‐  A  lot  of  govt  data  is  collected  in  order  to  measure  ac8vi8es  –  but  how  can  this  data   be  used  to  create  innova8ve  solu8ons?     10  
  • 11. ODF  is  convened  by  the  EDP   Different  interest  groups  working  on  the  implica8ons  of  open  data  for  their  sectors,   and  for  how  they  work  with  government  (and  vica  versa)   Join  in:  jodi@wcedp.co.za     Note:  while  membership  is  free,  this  programme  is  under-­‐resourced,  we  rely  on   partners  providing  their  own  #me,  venues  and  other  resources.   11  
  • 12. More  resources  on  the  green  economy  &  opportuni#es  in  tech:   Western  Cape  Green  Economy  Report,  2014:  hEps://www.westerncape.gov.za/ 110green/sites/green.westerncape.gov.za/files/documents/WCG%20Green %20Economy%20Report%202014_0.pdf       •  Water  and  technology  in  a  transi8on  to  a  green  economy:  hEp://www.un.org/ waterforlifedecade/green_economy_2011/pdf/ info_brief_tools_technology_eng.pdf     •  Agriculture:  How  we  can  improve  agriculture,  food  and  water  with  open  data:   hEp://www.godan.info/wp-­‐content/uploads/2015/04/ODI-­‐GODAN-­‐ paper-­‐27-­‐05-­‐20152.pdf     •  Air  Quality  (access  Cape  Town’s  air  quality  data  on  CCT  Open  data  portal)   •  Waste  (access  Cape  Town’s  recycling  data  on  CCT  Open  data  portal)   •  Energy  (Have  you  see  Durban’s  &  Google’s  respec8ve  solar  panel  poten8al   mapping  tools?  Here  is  Durban’s:  hEp://www.durban.gov.za/City_Services/ energyoffice/Pages/Solar-­‐Map.aspx)   •  Mobility  (low-­‐carbon  mobility  is  enabled  through  your  cell  phone...)   •  Biodiversity  (access  on  relevant  data  and  research  on  the  CCT  open  data  portal,   CapeNature,  or  Sustainable  Livelihoods  Founda8on)     12  
  • 13. These  ques#ons  will  not  tell  you  what  to  see,  but  rather  advise  on  where  to  look     13  
  • 14. Here  is  an  overview  of  the  ques8ons  that  you  can  cycle  through  throughout  the   weekend.     The  following  slides  unpack  these  in  more  detail,  and  provide  you  with  useful  ideas,   examples  and  resources.     Many  of  these  steps  are  interchangable  –  some  of  you  might  already  have  a  client,   and  you’re  star8ng  with  empathy  for  their  needs.  Others  will  create  an  idea,  and  then   think  about  the  client.  Make  it  an  itera8ve  process,  and  always  make  sure  you  have   the  skills,  insight,  knowledge  required  to  understand  the  problem  you  are  addressing.     14  
  • 15. 15  
  • 16. 1)  Spend  some  #me  thinking  about  the  Future     Ask  kids  what  they  think  the  future  will  be  like…   Be  the  catalyst  for  change,  not  the  obstacle,  or  at  the  very  least,  “ride  the  wave”  (vs.   not  even  seeing  the  wave  coming,  or  standing  on  the  shore  analysing  the  reality,  size   and  velocity  of  the  wave…)     Expect  the  staircase  to  shiL…  disrup8ons  in  health,  water,  educa8on,  transport  +  -­‐   are  you  the  next  disrupter?   16  
  • 17. 2)  Think  about  scale:  are  you  building  a  prototype  to  sell  on  &  use  for  experience  or   to  build  your  porPolio?  Or  are  you  growing  a  business?     Ar8cle:  Don’t  do  a  startup,  build  a  business:  hEp://ventureburn.com/2015/09/dont-­‐ startup-­‐build-­‐business/     17  
  • 18. 3)  Diversify  your  team,  consult  &  collaborate     This  image  is  just  an  example  –  the  exact  composi8on  and  skills,  (par8cularly  inner   circle  on  the  diagram)  will  vary  greatly  based  on  the  idea.     You  can  do  this  once  you  have  an  idea,  or  you  can  put  together  a  “dream  team”  of   mixed  skills,  and  collabora8ve  people,  and  see  what  problems  and  solu8ons  you   collec8vely  create.     Resist  the  tempta#on  to  lead  with  the  tech,  lead  with  the  issue  you  are  solving.   With  ci#es,  it  is  almost  certain  that  understanding  the  issue  will  requires  more  than   just  technical  knowledge!  Chat  to  your  ethnographer,  anthropologist  or  marke#ng   friends…     A  note  on  language:  “Technical  Specialists”  =  “Subject  MaZer  Experts”  (SMEs)     In  “government  speak”  these  are  technical  or  professional  officers;  in  “soLware   developer  speak”  these  are  Subject  MaEer  Experts  (SMEs)     18  
  • 19. 19  
  • 20. 4)  “Technology  is  the  answer,  but  what  is  the  ques#on?”  (Cedric  Price,  1956)   What  city  or  ci8es  are  you  designing  for?  (tech  is  easily  exportable:  your  idea  doesn’t   have  to  be  for  Cape  Town  –  Durban  also  has  Open  data,  as  do  many  African  ci8es;   you  can  even  target  a  leading  Smart  City  in  Europe  or  America)     Get  to  know  your  market(s).     Don’t  copy  and  paste  from  a  totally  different  context  and  think  it  will  work  here  in   Cape  Town  –  our  system  fundamentals,  and  our  cultural  and  socio-­‐economic  factors,   must  be  taken  in  to  considera8on     20  
  • 21. Think  big,  and  start  with  where  you  are:  what  is  something  that  you  would  find   useful?  Is  this  something  that  many  e.g.  African  ci8es  might  also  benefit  from?   •  Ci8es  are  complex  and  made  up  of  lots  of  parts:   •  Housing  &  land  use  planning   •  Transport  and  mobility   •  Healthcare   •  Educa8on   •  Water  quality   •  Air  quality   •  Sanita8on   •  Energy   •  Social  care  (ECD  tools,  Apps  for  M&E  on  social  services?)   •  Public  spaces,  parks,  libraries,  community  halls  –  can  we  have  an  app  to  find  the   nearest  community  facility  (this  data  is  on  the  CCT  Open  Data  Portal)  and  rate  our   experiences  of  them?   •  Par8cipatory  structures  and  processes  (“have  your  say”,  open  budgets  and  open   tenders  data  on  CCT  website)  –  what  other  ways  can  people  par8cipate  and  co-­‐ create  the  city?   •  Here  are  examples  of  all  the  poten8al  that  street  lights  offer:  hEp:// www.oecd.org/s8/ieconomy/smart-­‐streetlight-­‐smart-­‐street-­‐smart-­‐city.pdf       21  
  • 22. There  are  lots  of  typologies  out  there  to  help  you  find  your  niche…     Here’s  one  from  the  Ripple  Effect  Group  that  looks  at  top-­‐down  vs  boEom-­‐up   processes:  hEp://rippleffectgroup.com/2014/05/21/smarter-­‐smart-­‐intranets-­‐and-­‐ digital-­‐workplaces/         22  
  • 23. Here  are  some  more  typologies…     (And  Google  image  will  lead  you  to  many,  many  more…)     23  
  • 24. 5)  Think  outside  the  box     While  a  cliched  saying,  do  think  about  integra8on  services,  or  meta  services.       An  example  of  this  is  an  App  that  helps  city  &  private  property  planners  and   engineers  evaluate  the  universal  accessibility  of  their  design  –  its  not  doing  universal   design,  its  helping  designers  think  about  this.  This  has  been  developed  locally  by   Universal  Design  Africa:  hEp://www.udafrica.com     Can  you  make  an  App  that  helps  city  planners  think  about  “smart”  when  doing  their   designs?  How  would  a  transport  engineer  think  differently  using  a  tool  you  create  for   her?   24  
  • 25. 6)  Where  in  the  city  are  you  intervening/supply  a  solu#on  for?     System  (read  the  fundamentals  from  boZom-­‐up):     •  Algorithms  (translates  data  into  value:  analy8cs  and  visualiza8on,  alerts,  reports)       •  Screens  (this  is  an  access  issue  –  open  data  is  not  accessible  to  everyone;  we  need   a  portal,  APIs,  and  visualisa8ons  and  applica8ons  of  the  data;  we  also  need  people   to  have  access  to  screens  connected  to  the  web;  and  have  the  literacy  to  use  and/ or  produce  technology  and  related  content)       •  Data  Governance  (policy  must  in  touch  with  security  concerns,  and  ci8zen   concerns  more  than  poli8cal  concerns  –  luckily  global  standards  for  privacy,   cleaning  data  of  iden8fying  informa8on,  and  meta-­‐data  standards  exist;  policy   might  also  inform  aspects  around  data  colleciton  that  influence  the  “Vs”  of  Big   Data)       •  Sensors  (sensors  in  water,  energy,  traffic  lights  etc  -­‐  environmental  quality,  water   quality,  light,  noise  etc  -­‐-­‐  real  8me  transmission  to  open  data  portal  as  per   Chicago,  builds  trust  in  govt.  Collec8ng  more  and  more  data)  and  (the  old  way,  but   important  for  qualita8ve  and  demographic:  surveys  -­‐  can  these  also  be  electronic   and  more  regular?)   •  Database  management:  start  with  inventory  of  what  is  known  (databases)  and   what  could  be  known    (what  is  known:  how  can  this  data  applied  to  be  more   valuable?;  what  is  not  known:  are  their  opportuni8es  for  collec8on  through  smart     25  
  • 26. Reuse:   •  Your  product  or  service  may  create  new  data  available  for  –re-­‐use  in  another   process  (e.g.  GoMetro  produces  data  of  poten@ally  of  use  to  transport  planners   and  operators)     ISOs  exist  for  sensors,  data  governance,  portals  and  more     Look  for  OpenSource  plaIorms,  tools,  chips  and  more   26  
  • 27. 7)  Who  is  your  client?  And  what  is  the  model  (once  off  sale,  regular  subscrip#on   service,  partnering..?)   UX  is  a  specialised  field,  understand  your  user  needs,  build  so  that  they  don’t  need  to   “think”       If  government  is  your  intended  client,  THINK  CREATIVELY:  government  procurement   systems  are  very  difficult  to  navigate,  and  typically  do  not  favour  innova8on  or   pitches  (“unsolicited  bids”)   •  Consider  going  “over  the  top”  direct  to  the  consumer,  or  to  a  service  provider  of   government  (e.g.  the  transport  consultants;  or  the  traffic-­‐light  light  bulb   suppliers..)   •  Engage  with  public  sector  reform  for  procurement  of  innova8on  for  smarter  and   greener  ci8es  through  the  Open  Data  Forum  or  the  Regional  Innova8on  Network     27  
  • 28. 28  
  • 29. 29  
  • 30. Some  local  and  global  players  who  can  approach  for  insight,  skills,  services,   networking  or  collabora8ons.     30  
  • 31. 31  
  • 32. 32  
  • 33. 33  
  • 34. There  are  many  research  and  private  and  non-­‐profit  efforts  around  the  growth  of   urbanisa#on,  the  growth  in  data  and  tech;  and  how  these  intersect,  here  are  just  a   few       MIT  has  no  fewer  than  four  separate  research  groups  focusing  on  this  issue       34  
  • 35. This  is  not  an  advocacy  effort  for  techno-­‐topia…   There  are  many  limita8ons  to  technical  solu8ons  for  human  challenges.  Let  us  not  be   convinced  that  we  can  solve  poverty,  inequality,  rapid  urbanisa8on,  economic  and   environmental  instability  from  behind  our  laptops.         PEOPLE  must  be  at  the  heart  of  your  process.     We  will  always  need  qualita8ve  insights  and  nuances  and  stories  from  the  ground   and  site  visits…       35  
  • 36. Get  in  touch  &  follow  our  updates!     36