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Storytelling,
narratives and
connections for
policy entrepreneurs
MARCO RICORDA
03 June 2022
School of Transnational
Governance
Introduction
I
International Centre for Migration Policy Development -
ICMPD
President of the European Parliament Antonio Tajani
MEP Guy Verhofstadt
Joint Research Centre of the European Commission
EU at Expo MIlano 2015
European Commission
Bruegel
TRAINER - MARCO RICORDA
Nothing makes you more
formidable than verbal
competence, to be able to
articulate and marshal your
arguments.
Get everything in order, get your
information straight, to go to war
with words.
Table of Contents
Research background
Storytelling
Connections
Best practices
Exercise
I
II
III
IV
V
3
6
9
10
13
Page
Research Background
I
Why storytelling
matters (probably
more than you
think)
Research Background
I
A STORY IS “one thing happens in consequence of
another”
Story consists of a collection of stories about characters
joined in some common problem as fixers (heroes),
causes (villains) or the harmed (victims) in a temporal
trajectory (plot), leading towards resolution within a
particular setting or context
Frank, 2010
Research Background
I
Ganz sees a story as crafted of three elements:
• plot
• character
• moral
Ganz, 2011
"An account of a sequence of events in the order in
which they occurred so as to make a normative point”
Polletta, 2006
Research Background
I
Aesop and
Phaedrus
Research Background
I
Aesop and
Phaedrus
• Animal protagonists
• Short stories
• "Fairly" realistic
• Moral
• Natural environments
• Human characters
• Long Stories
• Fantastic environments
• Always happy ending
• Stories of heroic deeds
Research Background
I
INDIVIDUAL
DECISION MAKING
Research Background
I
Research Background
I
HUMANS THINK:
• AUTOMATICALLY
• SOCIALLY
• WITH MENTAL MODELS
Research Background
I
FORGET THE
"DEFICIT MODEL"
Research Background
I
The way in which information is presented is crucial. In
the case of automatic or fast thinking, this means that
information has to be packaged in a manner that
takes into account people’s inherent cognitive biases
and ensures that the information is quickly and
easily—and accurately—grasped.
Research Background
I
FRAMES (AND VALUES)
Research Background
I
Research Background
I
Research Background
I
Research Background
I
Research Background
I
“Each of us walks around with a bunch of stories in our heads
about the way the world works. And whatever we confront,
whatever facts are presented to us, whatever data we run into,
we filter through these stories. And if the data agrees with our
stories, we’ll let it in and if it doesn’t, we’ll reject it. So, if you’re
trying to give people new information that they don’t have,
they’ve got to have a story in their head that will let that data
in"
Goodman, 2016
Research Background
I
DECISION-MAKING
PROCESS AND CONTEXT
Research Background
I
“seems reasonable, has a clear message and is
available at the right time”
Research Background
I
INSIDE TRACKS
AND
OUTSIDE TRACKS
Research Background
I
INSIDE TRACKS
Research Background
I
OUTSIDE TRACKS
Research Background
I
INSIDE TRACKS
AND
OUTSIDE TRACKS
Research Background
I
EVIDENCE
Research Background & Motivation
I
"it is necessary for researchers to
become policy entrepreneurs "
Young and Mendizabal (2009)
Research Background & Motivation
I
EVIDENCE VS VALUES
3
Research Background
I
POLICY FACTS
VS
POLITICAL FACTS
Research Background
I
Research Background
I
Whose knowledge is
valued, and whose
evidence counts
Research Background
I
Research Background
I
Research merely offers
alternative courses of
action, but does not
tell us what to do.
Research Background
I
In democracy it is not enough
for something simply to be the
best option—people must reach
agreement that it is the best
option”.
Research Background
I
In an “evidence-obsessed
world”, policymakers and
citizens are able to avoid key
questions of what “ought to be”
Research Background
I
“Policymaking is about politics,
and evidence is only one of
many variables in playing
politics”
Research Background
I
Stories can always be told to
different effect and “turn against
those who conscripted them
Devolping a strategy
I
DEVELOPING A STRATEGY
Devolping a strategy
I
• Identifying the policy issue
• Identifying and mapping the audience
• Selecting an appropriate messenger
• Getting the timing right and understanding the rhythms of the policy
process
• Building relationships and networks, and mapping the broader political
context
• Developing a theory of change
• Developing a communication strategy along with appropriate messages
• Developing a monitoring and evaluation strategy
Devolping a strategy
I
TELLING EFFECTIVE STORIES
3
Devolping a strategy
I
STORYTELLING GOAL
3
Devolping a strategy
I
3
Devolping a strategy
I
3
Three key elements of an effective debunking effort:
• the refutation should focus on key facts rather than the
myths;
• any mention of myths should be preceded by explicit
warnings to the reader that what they are about to read is
false;
• and the refutation should provide a narrative explaining why
the myth is wrong and why it was initially advanced
Research Background
I
4
IMPACTFUL
STORIES
Devolping a strategy
I
3
Devolping a strategy
I
3
“climate’s heart”
carbon
dioxide
“heat-trapping
blanket”
the
ocean
Research Background & Motivation
I
4
DEALING WITH
NUMBERS
Research Background
I
4
• numbers should not be used only to highlight crises
they should also be used to tell stories that allow
people to see possible solutions.
• It is important to help people to grasp the
significance of numbers by using metaphors or
comparisons with familiar things.
• Numbers should not be used only to describe a
situation but also to show how it arose and how it
might be dealt with
Research Background & Motivation
I
4
VISUAL
STORYTELLING
Research Background & Motivation
I
4
Research Background & Motivation
I
4
CASE STUDIES
Best practice
I
4
"There once was a library ..."
Best practice
I
4
TURNING THE TIDE
Best practice
I
Best practice
I
Apple #ShotOniPhone
Best practice
I
LINKEDIN
SLIDES
Making connections
I
4
CONNECTION
S
Making connections
I
4
Making connections
I
SAY WHAT YOU WANT TO SAY
4
Exercise
I
LET'S GET PRACTICAL
4
Exercise
I
ELEVATOR PITCH
4
Hypotheses Development
II
Hypothesis 1
A conservative MEP
6
Johannis Klugman
Nationality: Austrian
Age: 42
Party: OVP
Committee: LIBE, ITRE
Hypotheses Development
II
Hypothesis 2
A Head of Unit in the European Commission
6
Xenia Papadopoulou
Nationality: Greek
Age: 45
Organization: European
Commission
Directorate General: MOVE -
Sustainable Transport Unit
Hypotheses Development
II
Hypothesis 3
A socialist Commissioner from a Northern EU country
6
Sven Svensson
Nationality: Swedish
Age: 50
Organization: European
Commission
Portofolio: Environment and
sustainable development
Hypotheses Development
II
Hypothesis 3
A liberal mayor from Southern European city
6
Clara Aziz
Nationality: Italian
Age: 32
Organization: City of Sicily
Portofolio: Economy and local
entrepreneurship
Thank you
for listening
The End

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Storytelling for policy entrepreneurs