Brief presentation of our OpenSystems UB Research Group activity mostly focused on Computational Social Science and in relation with Citizen Science Practices. Presentation in the COMSOTEC meeting held in Santander (Spetember 10, 2015). Facultad de Ciencias, Universidad de Cantabria, Santander.

1. Can
science
be
social?
Collec-ve
and
Ci-zen
Experimenta-on
in
Computa-onal
Social
Sciences
Josep
Perelló
Josep.perello@ub.edu
@JosPerello
@OpenSystemsUB
/
@CLabBarcelona
COMSOTEC
(10
September
2015).
Facultad
de
Ciencias,
Universidad
de
Cantabria,
Santander

2. What
is
Social?
DefiniKon
(Merrian
Webster):
:
relaKng
to
or
involving
acKviKes
in
which
people
spend
Kme
talking
to
each
other
or
doing
enjoyable
things
with
each
other
:
liking
to
be
with
and
talk
to
people
:
happy
to
be
with
people
:
of
or
relaKng
to
people
or
society
in
general

3. :
marked
by
or
passed
in
pleasant
companionship
with
friends
or
associates
<an
acKve
social
life>
:
of,
relaKng
to,
or
designed
for
sociability
<a
social
club>
:
of
or
relaKng
to
human
society,
the
interacKon
of
the
individual
and
the
group,
or
the
welfare
of
human
beings
as
members
of
society
<social
insKtuKons>
:
tending
to
form
cooperaKve
and
interdependent
relaKonships
with
others
:
being
such
in
social
situaKons
<a
social
drinker>

4. What
is
a
lab?

5. Open
Innova8on
New
paradigm
based
on
a
Quadruple
Helix
Model
where
government,
industry,
academia
and
civil
parKcipants
work
together
to
co-­‐create
the
future
and
drive
structural
changes
far
beyond
the
scope
of
what
any
one
organizaKon
or
person
could
do
alone.
User-­‐oriented
innovaKon
to
take
full
advantage
of
ideas'
cross-­‐
fer8lisa8on
leading
to
experimenta8on
and
prototyping
in
real
world
seBng.
Henry
Chesbroug
(2003)

6. Research
in
the
wild
Michel
Callon
(2003)
1. Researchers
in
the
wild
are
directly
concerned
with
the
knowledge
they
produce
because
they
are
both
the
objects
and
the
subjects
of
their
research.
2. Produc8on
and
appropria8on
overlap
to
a
large
extent,
since
it
is
one
group
that
in
the
same
movement
elaborates
and
uses
the
knowledge.
3. Incen8ves
are
of
a
different
nature,
for
what
is
at
issue
in
the
case
of
research
in
the
wild
is
fate
and
the
survival
of
the
group
whose
members
wish
to
save
their
lives.

7. Research
in
the
wild
Michel
Callon
(2003)
4.
Largely
as
a
consequence
of
the
preceding
points,
we
cannot
separate
the
elabora8on
of
knowledge
from
the
construc8on
of
an
iden8ty
because
this
idenKty
is
also
common
and
shared
before
being
individual.
5.
Research
in
the
wild
makes
a
strong
contribu8on
to
the
formula8on
of
problems
and
ques8ons
that
become
intelligible
for
confined
researchers,
some
of
whom
have
parKcipated
in
their
elaboraKon.
The
concerned
groups,
owing
to
their
investment
in
research,
are
no
longer
the
only
ones
concerned.

8. Collec8ve
Experimenta8on
By
contribuKng
to
a
beaer
understanding
of
these
new
and
complicated
collecKve
dynamics,
science
studies
will
enrich
debate
on,
and
the
performance
of,
the
collecKves.
Share
risk
with
all
parKcipants
CollecKve
experimentaKon
and
co-­‐create
the
soluKons
and
the
experiments
From
maaers
of
fact
to
maaers
of
concern
(Latour:
Ecology
vs.
Ecologism)

9.
“A
laboratory
experiment
is
a
rare,
costly,
local,
arKficial
set
up.”
Bruno
Latour

10. OpenSystems
Departament
de
Fisica
Fonamental
Universitat
de
Barcelona
www.ub.edu/
opensystems
@OpenSystemsUB
Since
2012
OpenSystems

11. When
dissemina8on
is
not
anymore
dissemina8on
MACBA
(Barcelona
Contemporary
Art
Museum)
Sistemes
Oberts
(2012/13-­‐2014/15).
Official
training
course
for
teachers.

12. When
dissemina8on
is
not
anymore
dissemina8on
A
fesKval
as
a
lab

13. Aerial
Cartography
of
a
Neighborhood
(Raval
Barcelona,
2015).
Public
Lab
When
dissemina8on
is
not
anymore
dissemina8on

14. Paral·lel (Molino)
Plaça de la Bella Dorita. Barcelona
Fecha: 19.00h. 15 abril 2015
Fotógrafos: Teb Raval; Basurama; Public Laboratory.
Herramienta: Mapknitter
Imágenes y mapa: http://mapknitter.org/maps/parallel-2015
Licencia: Dominio Público
Resolución: cm/pixel
Coordenadas: Latitud 41.3745415 Longitud 2.1677728
Cartógrafo: Pablo Rey Mazón
N
Cartogra a aérea de barri
Dentro del festival NOVUM 2015.
Taller de fotografía aérea con globos.
100m0200m50m150m

15. Barcelona
CiKzen
Science
Office
hap://cciutadana.barcelonalab.cat
@CCiutadana
Riu.NET
:
hap://riunet.net
AtrapaElTigre
:
hap://atrapaelKgre.com
Pollen
and
Allergies
:
hap://lap.uab.cat/aerobiologia
Seawatchers
:
hap://observadorsdelmar.cat
OpenSystems
:
hap://ub.edu/opensystems
Community
of
pracKce
with
5
different
research
groups
having
CiKzen
Science
projects.
Since
2012

16. Ci8zen
Science
“general
public
engagement
in
scienKfic
research
acKviKes
when
ciKzens
acKvely
contribute
to
science
either
with
their
intellectual
effort
or
surrounding
knowledge
or
with
their
tools
and
resources”
Green
Book
of
CiKzen
Science
SocienKze
(IberCivis,
EU
project)
OpenBeeResearch.
Urban
Bees
Project

17. hap://issuu.com/bcnlabcienciaciudadana

19. Urban
Bees:
Castell
dels
Tres
Dragons
(Museu
de
Ciències
Naturals),
HANGAR,
IMI-­‐Ayuntamiento
de
Barcelona,
ICUB-­‐Ayuntamiento
de
Barcelona,
UB
Sensors
(Arduino):
Humidity,
Temperature,
Bee-­‐Counter,
Sound,
Video
and
weight
SocienKze
(Ibercivis,
UZ),
EU
project.
Socios:
Melliferopolis
(FI)
i
OpenBeeLab
(FR).
www.openbeeresearch.org
(en
construcción)
OpenBeeResearch

25. Human
Behaviour
and
Games
Board
Game
Fes8val
DAU
2013
• 283
volunteers,
24,375
decisions
• TesKng
Efficient
Market
Hypothesis
• Decision
making
and
emergent
strategies
in
an
uncertain
environment.
• hap://mr-­‐banks.net
Results
• M.
GuKérrez-­‐Roig,
J.
Duch,
J.
Perelló,
in
preparaKon,
2015

27. with
Outliers
(Oscar
Marin)

28. Joint
work
on
I.
Bonhoure,
O.
Sagarra
and
M.
GuKérrez-­‐Roig
Shaping
a
solu8on:
the
Pop-­‐Up
Experiments
Experiments
Bee-­‐Path(1)
Bee-­‐Path(2)
Coopera8on(1)
Coopera8on(2)
Mr.
Banks(1)
Mr.
Banks(2)
Dr.
Brain
1.General
Informa8on
Date
June
2012
June
2013
Dec
2012
March
2014
Dec
2013
July
2015
Dec
2014
Topic
Human
Mobility
Human
Mobility
Social
Dilemmas
Social
Dilemmas
Decision
Making
Decision
Making
Social
Dilemmas
Number
of
volunteers
101a
68b
168
52
307
42
580
Number
of
records
10,312
GPS
points
10,315
GPS
pointsb
4,200
decisions
1,300
decisions
18,525
decisions
2,372
decisions
8,659
decisions
Budget
(approx.)
4,000
EUR
3,500
EUR
2,000
EUR
1,000
EUR
2,500
EUR
1,300
EUR
1,000
EUR

30. A
Pop-­‐Up-­‐Experiment
(PUE)
is
a
physical,
light,
very
flexible,
highly
adaptable,
reproducible,
transportable,
tuneable,
collecKve,
parKcipatory
and
public
experimental
set-­‐up
for
urban
contexts
that
(1) applies
CiKzen
Science
pracKces
and
ideals
to
provide
ground-­‐breaking
knowledge
and
(2) transforms
the
experiment
into
a
valuable,
socially
responsible,
consented
and
transparent
experience
to
non-­‐expert
volunteered
parKcipants
with
the
possibility
to
build
the
urban
commons
arisen
from
facts-­‐based
effecKve
knowledge
valid
for
both
ciKes
and
ciKzens.
Shaping
a
solu8on:
the
Pop-­‐Up
Experiments
Joint
work
with
I.
Bonhoure,
O.
Sagarra
and
M.
GuKérrez-­‐Roig

31. Pop-­‐up
Experiments
along
ci8zen
science
framework
1. CollecKve
ExperimentaKon
sharing
publicly
the
risk
with
all
parKcipants.
2. Volunteers
should
be
first
users
of
the
scienKfic
knowledge
being
produced.
3. Natural
experiments
in
real-­‐world.
An
alternaKve
to
virtual
labs
and
to
byassed
populaKons
in
social
experiments.
4. Clear
definiKon
of
the
quesKon.
Appealing
concept:
ParKcipants
are
curious!
5. Time
and
space
frames
controlled
since
it
is
a
one-­‐shot
experiment.
6. Light
infraestructure
easy
to
adapt
to
several
contexts.
Always
expect
the
uncertain.
7. Quick
and
flexible
configuraKon
of
teams
(but
large
and
complex
to
manage).
Joint
work
with
I.
Bonhoure,
O.
Sagarra
and
M.
GuKérrez-­‐Roig

32. Shaping
a
solu8on:
the
Pop-­‐Up
Experiments
Joint
work
with
I.
Bonhoure,
O.
Sagarra
and
M.
GuKérrez-­‐Roig

33. Joint
work
on
I.
Bonhoure,
O.
Sagarra
and
M.
GuKérrez-­‐Roig
Shaping
a
solu8on:
the
Pop-­‐Up
Experiments

34. Joint
work
on
I.
Bonhoure,
O.
Sagarra
and
M.
GuKérrez-­‐Roig
Shaping
a
solu8on:
the
Pop-­‐Up
Experiments

35. Joint
work
on
I.
Bonhoure,
O.
Sagarra
and
M.
GuKérrez-­‐Roig

36. With
the
support
of
Community
of
pracKce
in
CiKzen
Science
CiKzen
Science
Office.
Science
Unit
in
the
City
Council
Science
CommunicaKon
in
Bee-­‐Path
and
Complexity
Lab
Barcelona
(2014
SGR
608)
Mecánica
estadísKca
para
"big
data”:
adquisición,
análisis
y
modelización
(FIS2013-­‐47532-­‐C03-­‐02-­‐P)
HosKng
the
experiments.
Barcelona
InsKtute
of
Culture
Josep.perello@ub.edu
@JosPerello
@OpenSystemsUB
@CLabBarcelona
Big
thanks
to:
Isabelle
Bonhoure,
Mario
GuKérrez-­‐Roig,
Anxo
Sánchez,
Yamir
Moreno,
Jordi
Duch,
Inés
Garriga,
Nadala
Fernández,
Fran
Iglesias,
Pedro
Lorente,
Carlota
Segura,
Clàudia
Payrató,
Joan
Bernat
Ferrer,
DomesKc
Data
Streamers,
Oscar
Marín,
Outliers,
Albert
Díaz-­‐Guilera,
Oleguer
Sagarra,
Julia
Poncela-­‐Casasnovas,
Jesús
Gómez-­‐
Gardeñes,
Julian
Vicens,
Roi
Sastre,
Helena
Andrés,
Edouard
Cabay,
Elena
Poropat,
and
to
thousands
of
volunteers.