2016 digicoplife - digital transformation world · culture, risk management (commercial, security)...
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Dig
iCO
PLi
fe
Wor
ksho
p M
onda
y M
ay 9
th20
16
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2
Th
e w
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d o
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eve
lop
me
nt
ne
ed
s D
ata
Ap
ril 2015
Th
e L
aw
, P
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Eth
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Ora
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En
erg
y
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6
120 K
m n
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ff g
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ject
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ww
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s.com
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7
© 2
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8
Op
tim
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th
e d
ep
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en
to
f th
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rid
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lee
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rgy
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urc
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ng
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om
© 2
016
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ive!
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9
Ep
ide
mio
log
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Mig
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2
Sve
taM
ilush
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ep
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case
fo
r 1
case
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ala
ria
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201
6 |
1
3
Cri
sis
ma
na
ge
me
nt
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016
TM
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ive!
201
6 |
1
4
Fin
din
gp
eo
ple
mo
st
at
risk
wit
ha
po
ve
rty
ind
ex
Goi
ngfr
oman
epi
sodi
cfie
ldsu
rvey
…to
a fr
eshe
r, a
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ore
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e:
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nge D
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chal
lenges,
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t w
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016
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um L
ive!
201
6 |
1
6
Usin
gn
etw
ork
da
ta in
cre
ati
ve
ne
w w
ays…
Se
nsin
g t
he
We
ath
er
via
ra
dio
lin
ks
…o
r e
ve
n la
rge
so
lar
fla
res ?
Eric
sson
mic
ro w
eath
er, o
n O
rang
e S
witz
erla
nd
So
lar
po
we
red
an
ten
na
are
be
ing
mo
nit
ore
d 2
4/7
© 2
016
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ive!
201
6 |
1
7
In t
ime
s o
f c
risis
, n
etw
ork
da
ta c
ou
ldsiz
e t
he
ris
ks
Pro
ject w
ith U
niv
ers
ité L
ibre
de B
ruxe
lles
(ULB
) and
Ora
ng
e L
ab
s
© 2
016
TM
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um L
ive!
201
6 |
1
8
Th
e c
ha
lle
ng
es t
o a
dd
ress
to p
rovid
ea
cc
ess
to p
riva
ted
ata
in
sa
fea
nd
re
sp
on
sib
lew
ay
are
nu
me
rou
s…
Sho
rt li
stof
issu
es t
o ad
dres
s
�G
over
nanc
e, R
egul
atio
n, E
thic
sof
Priv
acy
and
Usa
ges,
…
�Q
ualit
y/re
pres
enta
tivity
of d
ata
and
met
hodo
logi
es
�A
vaila
bilit
yof
robu
stda
ta s
harin
g pl
atfo
rms
enab
ling
smoo
thop
erat
ions
, with
loca
l par
tner
sec
osys
tem
s, …
�C
reat
ing
a m
arke
tby
findi
ngpa
ying
cust
omer
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dequ
ate
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ines
s M
odel
san
d bu
ildin
g th
e fir
st s
ucce
ssst
orie
s
�Le
ader
ship
, pr
iorit
ies,
acc
ount
abili
ty,
tran
spar
ency
, dec
isio
nm
akin
g,…
�C
ultu
re, r
isk
man
agem
ent (
com
mer
cial
, sec
urity
)
�S
kills
, dat
a sp
ecia
lists
, kno
wle
dge
build
ing
& s
harin
g, …
�C
apac
itybu
ildin
g, T
echn
olog
ies,
ano
nym
isat
ion,
sta
ndar
ds,..
�D
esig
n is
sues
of «
usin
gD
ata»
in a
fiel
dan
d in
reg
ions
with
little
data
lit
erac
yan
d ci
vil r
isks
, … b
oth
in d
evel
oppe
dan
d de
velo
ppin
gco
untr
ies
Bu
t…
© 2
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9
So
no
ww
ha
t?…
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016
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2
0
Usin
g p
riva
te d
ata
fo
r so
cie
ty n
ee
ds a
ro
bu
st
so
luti
on
2012-13 2014-152013 & 142013
Pio
neerin
g C
halle
nges…
Exc
iting r
esu
lts…
But
still
nasc
ent
solu
tions…
•A
d-h
oc r
ese
arc
h fo
r D
eve
lop
ment
ap
plic
atio
ns
•U
ncle
ar
co
st/b
enefit
s o
r b
usi
ness
mo
dels
•D
iffic
ult
to s
cale
/ s
ust
ain
•C
om
ple
x g
ove
rnance
•P
rivacy
risks
vs
Util
ity
•R
eg
ula
tion is
sues
© 2
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1
To
cra
ck
th
e P
riva
cy P
rob
lem
…c
ha
ng
e t
he
pa
rad
igm
Privacy
Util
ity
Cost per analysis
Vo
lum
e
Scalin
g in
a c
ost
effi
cie
nt
way
Bre
aki
ng t
he P
rivacy/
Util
ity T
rad
eoff
Pro
vid
eaccess
to r
icher
but
hid
den
data
Red
uce
the c
ost
x10
by
stand
ard
isatio
n
& o
penin
gth
e c
od
e
Brin
g th
e co
de to
the
data
… n
ot th
e da
ta to
the
code
…
© 2
016
TM
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ive!
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2
© 2
016
TM
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2
3
OP
AL
is a
ne
w s
olu
tio
n f
or
pri
va
te d
ata
sh
ari
ng
OP
AL
plat
form
unl
ocks
the
pote
ntia
l of p
rivat
e da
ta fo
r pu
blic
goo
d in
a p
rivac
y-co
nsci
entio
us, s
cala
ble,
soc
ially
and
eco
nom
ical
ly s
usta
inab
le m
anne
r.
OP
AL
guid
ing
prin
cipl
es a
re to
:
1.Im
prov
e lo
ng-t
erm
dec
isio
n m
akin
g an
d su
ppor
t tac
tical
ope
ratio
ns
2.Le
vera
ge th
e va
lue
of o
pen-
sour
ce, a
gile
and
sca
labl
e te
chno
logi
es
3.A
ddre
ss m
ultip
le p
rivac
y an
d se
curit
y ch
alle
nges
4.C
atal
yze
a vi
bran
t and
incl
usiv
e lo
cal d
ata
ecos
yste
m
5.S
tren
gthe
n ac
coun
tabi
lity
and
accu
racy
for
the
ethi
cal u
se o
f dat
a
… b
egl
obal
lyav
aila
ble
by 2
020,
and
laun
ched
in 4
cou
ntrie
s by
mid
2017
© 2
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2
4
Lo
ca
l O
PA
L p
latf
orm
s e
na
ble
“S
afe
An
sw
ers
”
Inst
itutio
n as
king
for
data
/pro
xies
OP
AL
Dev
Team
OP
AL
brin
g th
e co
de to
the
data
local T
elc
o X
YZ
Po
vert
yP
roxy
Po
pd
ensi
ty
Glo
bal K
now
led
ge B
uild
ing
& A
lgorit
hm
Cert
ificatio
n•N
atio
nal s
tatis
tics,
exp
ert
s,
Acad
em
ics,
Cro
wd
s,…
data
Q&
A
OP
AL
local R
eta
il X
YZ
Price
bask
et
local B
ank
AB
C
Bank
of
cert
ified
Op
en
Alg
orith
ms
with t
heir k
ey
& OP
AL o
pen
so
urc
e
so
ftw
are
Lo
cal e
ng
agem
ent b
oard
with P
riva
cy
and
Eth
ics
revi
ew
The p
latf
orm
co
nta
ins t
he
ano
nym
ous d
ata
and
rem
ain
s
behin
d t
he p
rovi
ders
firew
alls
Only
Safe
pre
-agre
ed
Answ
ers
are
exp
ort
ed
1
2
4 3P
rice
…
…
Loca
l OP
AL
ecos
yste
m
Cert
ificatio
n k
ey
© 2
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2
525
Priv
acy
of in
divi
dual
s
�E
.g. R
isks
of r
e-id
entif
icat
ion
A m
ult
iple
pri
va
cy p
rese
rvin
g p
latf
orm
Data formattingOpt-out
Sensitive people
Encrypted pseudo-nymous
DB
Ban
dico
ot a
nd
stan
dard
libs
Privacy and Security unit*
Au
the
nti
cati
on
an
d
Qu
ery
pa
ram
ete
rs
An
swe
rs
* V
ali
da
te q
ue
rie
s,
an
swe
rs,
ad
d n
ois
e,
etc
Da
ta
CD
R,
an
ten
na
file
s, e
tc
Libr
ary
of
Ope
n
algo
rithm
s
Logs
OPA
L
Governance
Crowd
Sh
are
co
de
, n
ot
da
ta
Priv
acy
of g
roup
s, s
ocie
ty�
E.g
. Ris
ks to
sec
urity
, di
scrim
inat
ion
Priv
acy
of c
ompa
nies
�E
.g. R
isks
to p
enet
ratio
n ra
te, c
ompe
titiv
e in
telli
genc
e
© 2
016
TM
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um L
ive!
201
6 |
2
626
OP
Alw
illbe
com
patib
le w
ithth
e T
MF
orum
arch
itect
ure
© 2
016
TM
For
um L
ive!
201
6 |
2
727OP
AL
ca
nsta
rt«
sm
all
& lo
wc
ost»
, b
efo
resc
alin
g-u
p
ex: P
rovi
dem
obili
tyin
form
atio
n th
isho
urto
dep
loy
serv
ices
& s
taff
Pro
vide
rea
l-tim
e pe
rson
al h
ealth
ris
k to
use
rs in
m
obili
ty
(«B
igD
ata
»)
ex: m
easu
relit
erac
yde
aggr
egat
edby
ge
nder
ex: O
ptim
ise
dist
ribut
ion
of
drug
sin
func
tion
of d
isea
ses
geog
r.,
cale
ndar
even
ts,…
«R
eal T
ime
»
Op
era
tio
n
Manag
em
ent
Po
licie
s &
Co
nsultin
g
Sin
gle
Data
so
urc
e
Multip
le d
ata
so
urc
es
Variety
of
so
urc
es f
or
Data
analy
sis
Customer Time (Velocity)
SLO
WE
RD
ata
refresh
(yearly
, q
uart
erly
)
Fast
er:
(mo
nth
ly…
daily
…)
© 2
016
TM
For
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2
8
Pro
toty
pin
go
n M
ob
ilit
y, P
op
, M
ala
ria
& w
ea
the
r
Def
ine
priv
acy
para
met
ers
then
call
the
algo
rithm
s
© 2
016
TM
For
um L
ive!
201
6 |
2
9
Pro
toty
pin
go
n M
ob
ilit
y, P
op
, M
ala
ria
& w
ea
the
r
Only
pre
-agre
ed
& s
afe
alg
orit
hm
sre
sults
are
pre
sente
d
Resu
ltscan
feed
any
analy
tics/
Data
V
izfo
r fu
rther
data
cro
ssin
g&
analy
sis
(Illu
stra
tion w
ithM
icro
soft P
ow
erB
I)
Base
do
n A
no
nym
ous
Seneg
alC
DR
20
13
© 2
016
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201
6 |
3
030OP
AL
ca
nh
elp
wit
he
asy
or
dif
fic
ult
to s
ha
red
ata
Ans
wer
ssh
arab
lew
ithca
utio
n to
lim
itco
mm
erci
al r
iks
Eas
ier
to s
hare
Diff
icul
tto
shar
e
Diff
icul
tto
shar
efo
r re
puta
tion
risk
and
loss
of p
oten
tial
valu
e
No
n
pers
onal
Data
‘Ano
nym
ised
’
Pers
onnal
Data
Data
ab
out
co
re b
usin
ess
No
n C
ore
busin
ess d
ata
Co
mm
erc
ial risks
Reputation risks
© 2
016
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For
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ive!
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3
1
Use
Ca
se
on
Clim
ate
resilie
nc
eO
PA
L co
uld
prov
ide
agre
gate
dda
ta o
n po
pula
tion
pres
ence
& w
eath
erm
easu
res
as in
put t
o C
limat
eR
isk
miti
gatio
n se
rvic
es c
ompa
nies
Mob
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Net
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For
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201
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© 2
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For
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201
6 |
3
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Th
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Em
manuel L
eto
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Data
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lie S
houp
Data
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Alliance
Yve
s-A
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IT, H
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Ale
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MIT
Med
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ab
Zb
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w S
more
da
Ora
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Willia
m H
offm
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World
Econom
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oru
m
Bria
n S
weatt
MIT
Med
ia L
ab
Kofo
Sanusi
OD
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