Spreadsheets And Stories: STP & A presentation, Oct 26, 2013

"Fuehlometer"
(Feel-‐o-‐meter)

or
"Public
Face":
Julius
von
Bismarck,

Benjamin
Maus,
and
Richard
Wilhelmer

Lindau
Island,
Germany
2010
Berlin,
Germany
2012-‐2013
Algorithm
created
by
Frauhenhofer
Ins@tute
richardwilhelmer.com/projects/fuhl-‐o-‐meter

emotions = DATA

DATA challenges are NOT NEW challenges

27%
EXPERTISE

24%
23%

TIME/PRIORITIES

DATA

TECHNOLOGY

22%
6%

MONEY

CHALLENGES MOST CITED BY NONPROFITS (related to data)
NTEN,
The
State
of
Nonproﬁt
Data,
p.14
(2012)

WE COLLECT IT but WE DON’T USE IT

99%
TRACK METRICS
(IN SOME FORM)

26%
USE DATA TO
INFORM DECISIONS
(ARTS/CULTURE)

HOW MUCH OF YOUR DATA IS PUT TO WORK?

NTEN,
The
State
of
Nonproﬁt
Data,
p.14
(2012)

{ lesson no. 1 }
DATA does not equal ANSWERS

70% of CHANGE projects FAIL

Adapted
from
McKinsey
&
Co.

SENSE MAKING IS NEEDED

MEASURE

What is inherent?
What is conditional?
What do I want to do differently?

ASSESS

Framework for Thinking

REACT

?

!

RESPOND

Latest Thing to
“change the world”

David
Poole
“The
Impact
of
New
Technologies
on
the
Arts”
(2013)

WHAT HAPPENS AFTER THE HYPE?

Adapted
from
Gartner,
Inc.
(1995)

“As we proceed towards proﬁt & progress
with data, let us encourage artists,
noelists, performers & poets to take
an active role in the conersation.”
—Jer orp
New York Times Data Artist in Residence

“Big
data
is
not
the
new
oil,”
HBR
blog
(2012)

REFLECTING ABSENCE
9/11 memorial by Michael Arad

2,982 names + 1,200 adjacency requests
THE NAMES ARRANGEMENT
algorithm by Jer Thorp
9/11
Memorial
by
architect
Michael
Arad.
Photo
source
whitehouse.gov

TALENTS for THE ROBOTIC AGE:
WHAT HUMANS can BRING to the TABLE

Marty
Neumeier
(2012)

“Adopt a humble attitude and
look at the problem om
a number of perspectives.”
—Marty Neumeier

Metaskills:
Five
Talents
for
the
Robo:c
Age
(2012)

TRY DIFFERENT HATS

!!!!!

Edward
De
Bono,
Six
Thinking
Hats
(1985)

MORE BRAINS ARE BETTER THAN ONE

!!!!!!!!!!

Edward
De
Bono,
Six
Thinking
Hats
(1985)

{ lesson no. 2 }
SYSTEMS shape OUTCOMES

BE WARY of TIDY METRICS
for COMPLEX PROBLEMS

INDICATORS = cutting CUBES out of CLOUDS

AMBIGUITY is more INCLUSIVE = NEW IDEAS

REALITY = ENGAGING COMPLEXITY

“ere is nothing worse than a sharp
image of a fuzzy concept.”
—Ansel Adams

quoted
by
Ann
Markusen:
“Fuzzy
Indicators,
Proxy
Data,”
Createquity.com

(11-‐09-‐2012)

“As any good social scientist knows,
we aren’t dealing with a laboratory
here where the eﬀects only of arts
interventions can be isolated om
other factors at work…”
—Ann Markusen

“Fuzzy
Indicators,
Proxy
Data,”
Createquity.com

(11-‐09-‐2012)

ACTIONS exist in a COMPLEX ECOSYSTEM

? = DATA*
So

What do we
BELIEVE

?

?

Where is our
PLACE

Now

?
Now

Now

who is
OUR who?
So

?

So

How will we
SUCCEED

?

?

who is
THEIR
who?

What do we
NEED

*nothing happens without people
Adapted
from
the
Monitor
Ins?tute
(2013)
with
thanks
to
Kevin
Hughes
(2012)

WE GET WHAT WE ASK FOR

“Systems, like the three wishes in
a fairy tale have a terrible tendency
to produce exactly & only what
you ask them to produce.”
—Dana Meadows

Thinking
In
Systems:
A
Primer
(2008)

{ lesson no. 3 }
MEASURE what MATTERS

GOOD CLINICAL RESEARCH

ASK AN IMPORTANT QUESTION

&
ANSWER IT RELIABLY

Tenet
of
“good
clinical
research”
cited
by
The
Lancet,
leading
medical
journal

GOOD ARTS LEADERSHIP

what will we change?
ASK AN IMPORTANT QUESTION

&
ANSWER IT RELIABLY

responsively

*Annabel
Beerel,
Leadership
and
Change
Management
(2009)

ASK: WHAT WILL YOU CHANGE?
ANSWER: RESPONSIVELY

[how?]

ASK good*
QUESTIONS
+
LISTEN
+
SHARE
+
RESPOND

*define good?

CHANGE = LOSS
Active

EMOTIONAL INTENSITY

Anger
Response: legitimize — anger
comes from loss of control, don’t
take personally, listen

Acceptance
Bargaining

Denial
Response: avoid confrontation,
strengthen relationship, focus on
smaller/first steps

Response: don’t (will redefine the
change), “there can be no deal”

Exploration
Response: test new options, acknowledge
progress, build confidence

Immobilization

n

tio
Reac
e
hang

C
ative

Neg

Passive

Response: reward and acknowledge progress,
identify lessons learned, prepare for new change

Depression

HOPE

Response: provide support, note resources available,
encourage responsibility, reframe to test

TIME

Q: must leaders manage individual
transition through the grief cycle?
Adapted
from
Change
Consul3ng
Associates,
Kubler-‐Ross,
On
Death
and
Dying,
Conner,
Managing
at
the
Speed
of
Change
and
IMA,
Inc.

CHANGE = LIFE

A: only if they are dying!
In longitudinal studies on
loss, nearly 50% of the
population report no
debilitating grief at all.
Another 20% recover on
their own with no lasting
debilitation.
Only 1/3 of the population
is debilitated by loss.
Research
by
George
Bonanno
2002-‐2012
cited
by
Andrew
Zolli

CHANGE = FEAR & PLEASURE

BRAIN
FRONT

{

let’s do this!

K

Amygdala
(fear)

{

Basel Structures
(pleasure)

BA
C

what’s going on?!

Adapted
from
James
Zull,
The
Art
of
Changing
the
Brain,
p.
57
(2002)

“People actually LIKE change.
ey just don’t like to BE changed.”
—Marty Neumeier

Metaskills:
Five
Talents
for
the
Robo:c
Age
(2012)

SPREADSHEETS

+&

stories

thank you
Snow Dowd
Arts Leadership MFA
Seattle University 2013

snow@theMAKERS.com
www.slideshare.net/snowdowd

Experience
Music
Project
TRG
Case
Study,
SeaHle
WA

Online
9cket
purchases

up
from
1%
to
22%
and

growing
in
2013.
Tripled
patron
data

captures.
Admissions
revenue

increased
$1.5
million
in

two
years—up
37%.
Per
9cket
revenue
up

27%
since
2010.
hap://www.trgarts.com
hap://www.empmuseum.org

strategy = DATA

Invest
YYC:

City
of
Calgary,
Alberta
Crowd-‐funding
for
local
arts

projects.
Launched
Feb
26,
2013.
Approx.
$400,000
invested
to

develop
custom
code
base

now
available
as
a
“white

label”
solu9on.
www.investyyc.com

choice = DATA

CultureBlocks:

Philadelphia,
PA
Research
2009-‐2012

Public
access
site

launched
April
30,
2013
Oﬃce
of
Arts,
Culture
&
Crea@ve

Economy
w/
collabora@on
from
SIAP
funding
from
NEA,
Our
Town,
ArtPlace

Data
sets
from
local
&

na9onal
sources.
Layered,
ﬁltered,
custom

maps
+
reports.
www.cultureblocks.com

place = DATA

Splash:
Sea[le,
WA
Mul9-‐year
ﬁnancials

available
in
friendly

data
visualiza9ons
and
PDF
downloads.
Compelling
personal

stories
about

individuals
being

helped.
splash.org/achildsright

sharing = DATA

Proving.it:
Splash
Sea[le,
WA
Online
mapping
to

document
over
700

clean
water
projects

in
7
countries.

www.proving.it

proof = DATA

Improving
Care

with
Data:
Sea[le
Children’s

Hospital
Implemen@ng
IBM
PureData™

System
for
Analy@cs

Real-‐3me
pa3ent
data

and
treatment
with
up-‐
to-‐date
informa3on
on

outcomes
for
speciﬁc

interven3ons.
www.brightlightconsul@ng.co
m/clients/client-‐stories/
seaale-‐childrens-‐hospital

care = DATA

Hole
in
Space:
Kit
Galloway,
Kit
&

Sherrie
Rabinowitz
Los
Angeles
/
New
York,

November
1980
Funded
by
The
Broadway
Department
Store,
NEA,
other

private
sponsors.

Public
Communica9on
Sculpture

at
Lincoln
Center,
NYC
and

Century
City,
LA
for
three
3
days.
No
signage,
explana9on
or

sponsor
logos.
www.youtube.com/watch?v=QSMVtE1QjaU
Photography
|
©
Galloway,
Kit;
Rabinowitz,
Sherrie

connection = DATA

Social
Progress
Index
Launched
April
11,
2013
Skoll
World
Forum,
Oxford
UK

Created
by
Michael

Porter
(Harvard

Business
School)
as

an
alterna9ve
to

ranking
on
GDP.

Social
Progress

Capacity
Index
in

development.
Network
of
partners
in
50

countries.
Goal
to
grow
to
at

least
120
countries.
www.socialprogressimpera?ve.org

life = DATA

Spreadsheets And Stories: STP & A presentation, Oct 26, 2013

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Spreadsheets And Stories: STP & A presentation, Oct 26, 2013