Conference talk at ISWC 2011 for the award winning outrageous ideas track, October 2011, Bonn, Germany

1. An
Integrated
Socio-­‐Technical
Crowdsourcing
Pla8orm
for
Accelera;ng
Returns
in
eScience
Karl
Aberer,
Alexey
Boyarsky,
Philippe
Cudré-­‐Maurox,
Gianluca
Demar-ni,
and
Oleg
Ruchayskiy

2. Science
Yesterday
Today
GiIed
Individuals
Collabora;ve
Effort

3. OPERA
Collabora;on

4. Scien;st-­‐Computer
Symbiosis
• A
single
scien;st
has
no
more
the
capacity
to
process
all
the
informa;on
– High
complexity
of
systems
and
workflows
– Various
fields
of
exper;se
involved
• New
discoveries
will
emerge
from
community-­‐based
socio-­‐technical
systems

5. Community-­‐based
Socio-­‐technical
Systems
• Such
pla8orms
will
be
useful
– Locally
to
the
scien;st
– By
extrac;ng
knowledge
used
globally
• They
will
enable
cross-­‐pollina;on
– All
ar;facts
need
to
be
interoperable
– Higher
order
logic
to
combine
them

6. Science
Tomorrow
Collec;ve
Intelligence

7. What
do
we
need?
• Highly-­‐expressive
machine-­‐readable
formats
– Ontologies
of
unprecedented
quality
– Implicit
knowledge
available
in
the
head
of
the
experts
• Understanding
concepts,
assump;ons,
phenomena,
abstrac;ons
• Create
a
mental
map
of
a
research
field
• Understand
analysis
methods

8. A
Giant
Crowdsourcing
Conceptualiza;on
Machine

9. Towards
Self-­‐Awareness
• A
Scien;fic
infrastructure
– Complex
ontological
networks
– Capture
the
scien;fic
process
– Automate
rou;ne
opera;ons
– Share
scien;fic
ar;facts
• Experts
will
train
the
system
with
their
daily
ac;vi;es

10. An
“entropy-­‐reduc;on”
machine
• Relate
en;;es
• Provide
lineage
informa;on
• Discriminate
conflic;ng
informa;on
• Reason
and
infer
new
data

11. The
Web:
a
Collec;ve
Intelligence
engine
• Informa;on
systems
are
not
instruments
• A
catalyst
for
the
scien;fic
progress
• Reason
and
combine
scien;fic
ar;facts
at
very
large
scale
• Individual
scien;st
will
not
be
able
to
fully
appreciate
models
and
methods

12. Scien;fic
progress
Time
Now