1. A platform for Crowdsourcing
and Collaborative Design Tools
Ing. Giacomo Tazzini
Dott. Riccardo Apreda
Ing. Gualtiero Fantoni
Tazzini G., Apreda R., Fantoni G. 1

2. The research team and our proposal
Multidisciplinary
research team
Management and mechanical
engineering
Physics
Mathematics
Economics
Computer science
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3. Introduction
• The idea and its novelty
• Development guidelines to come a fully-
functional prototype
• Internationality of the project
• Market and competitors
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4. The idea and its novelty
• Starting point: the crowdsourcing model
• Company rewards only the winner
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Problem
Solution

5. The idea and its novelty
• Problems in Crowdsourcing platform:
– To guarantee the fair reward
– To reach an agreement about the real contribution
of each participant
– To give a chance to all participants to learn from
the problem solving process
• Starting point: KBS paradigm (Knowledge,
Business and Social implication)
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6. The idea and its novelty
• Propose Features of the LILIT platform:
– Effective equality among peers
– Fairness of the reward and protection of ideas
– Discovery of hidden knowledge to capture the
heuristics
– Dedicate and customized suggestions
– Human-driven machine learning
• Central point:
“I solve a problem and I teach you, you solve a problem
and you teach me”.
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7. Development guidelines to come
to a fully-functional prototype
• Many tools to save and enrich the work
Tool name Goal Short description Functioning
Radar Suggest the best
team to work in a
problem solving
session
Use the output
information of Rewind
with a series of other
parameters
Interpolates the output of
discussion with users’
profiles and with existing
knowledge.
Rewind Connect people and
their ideas and track
the solvers’
behaviors, strategies
and methods.
Tool for understand the
way people solve
problems and discover
which are the natural
solution patterns. It
helps finding which
heuristics are most
efficient since closer to
natural functioning of
mind.
Scans the problem solving
session to find the
connection of solvers and
ideas. This is possible
thanks to a specific
Computational Linguistic
algorithms.
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8. • Many tools to save and enrich the work
Tool name Goal Short description Functioning
Past Plus Total access to
Cultural Resources.
Management of
knowledge
Enables the recovering
of the information
present in technical and
scientific literature
PAST plus enables the
clever extraction of
inventive principles,
smart solutions and
technical “tricks of the
trade”.
Booster Suggests creative
hints to solvers in a
systematic way
Provides a series of
visual and ideal cues to
boost imagination and
suggests new uncharted
horizons
Search several databases
for solutions and variants
(technical, biological,
artistic, visual, etc.).
Proposes a cloud of hints.
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Development guidelines to come
to a fully-functional prototype

9. Internationality of the project
• The idea is ready for the internationalization:
– Algorithms just based on English
– Servers run 24/7
• Doubt:
– To check the system when it is at fully capacity
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10. Market and Competitors
• Area USA:
– Innocentive
– NineSigma
• Euro:
– IdSpace
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11. • Product and service development
• Students, researchers, professors in University
• Freelancers, pensioners, workers and so on
Market and Competitors
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Customers
Market

12. Thank you
for your attention
g.tazzini@gmail.com
apreda.riccardo@gmail.com
g.fantoni@ing.unipi.it
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