Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Corso pisa-2 dh-2017
1. Digital Humanities | Pisa febbraio-aprile 2017 | Luca De Biase
2. Futuro How to be humans
in the digital age
http://blog.debiase.com
2. 8:30 - 10:00 10:15 - 11:45 12:00 - 13:30 14:15 - 15:45 16:00 - 17:30 17:45 - 19:15
24 febbraio x x x
2 marzo x x x
3 marzo x x
23 marzo x x x
24 marzo x x
6 aprile x x x
7 aprile x x
3. DIGITAL soluzioni power law moore’s law shannon fogg & co.
infosfera
futuro
innovazione
felicità
piattaforma
conoscenza
diritti
HUMAN domande discernimento narrazione responsablità ricerca
4. DIGITAL soluzioni power law moore’s law shannon fogg & co.
infosfera 24 febbraio
futuro 2 marzo
innovazione 3 marzo
felicità 23 marzo
piattaforma 24 marzo
conoscenza 6 aprile
diritti 7 aprile
HUMAN domande discernimento narrazione responsablità ricerca
5. DIGITAL soluzioni power law moore’s law shannon fogg & co.
infosfera digitalizzazione polarizzazione esponenziale algoritmo nicchia
futuro shift pattern senso evoluzione arte & scienza
innovazione immaginazione abilitazione selezione sperimentazione adozione
felicità ecologia fini & mezzi ambiente relazioni cultura
piattaforma interfaccia codice filtro motivazione incentivo
conoscenza valore verità metodo contesto design
diritti privacy accesso interoperabilità neutralità sicurezza
HUMAN domande discernimento narrazione responsablità ricerca
16. Oggi e domani parliamo di:
❖ come si organizza la conoscenza per pensare il futuro
❖ come si organizza la conoscenza per fare innovazione
17. Data science is an interdisciplinary and pervasive paradigm aiming to turn data into knowledge and value. Data may be
structured or unstructured, big or small, static or streaming. Knowledge and value may be provided in the form of predictions,
automated decisions, models learned from data, or any type of data visualization delivering insights. Data science includes data
extraction, data preparation, data exploration, data transformation, storage and retrieval, computing infrastructures, various
types of data mining and statistical learning, presentation of explanations and predictions, and the exploitation of results taking
into account ethical, social, legal, and business aspects.
Data science emerged due to three concurring factors, unleashed by the digital transformation of society: a) the advent of Big
Data; b) the advances in data analysis and learning techniques; and c) the advances in scalable high-performance computing
infrastructures. The three factors together are an explosive mix: big data provide the critical mass of factual examples to learn
from; analytics are able to learn predictive models and behavioral patterns from these data; scalable computing platforms make
to ingest the data and perform the analytics feasible in practice.
18. Digital Humanities | Pisa febbraio-aprile 2017 | Luca De Biase
Il futuro
“We shape our buildings;
thereafter they shape us”.
Winston Churchill
19. per decidere ci facciamo un’idea del futuro
possiamo leggere i fatti come finestre per conoscere il futuro?
20. Cassie, robot bipede di Agility Robotics, spin-off dell’Oregon State University.
http://www.futurix.it/2017/02/cassie-robot-levoluzione-della-specie_78.html
alcuni fatti parlano di futuro in modo più evidente degli altri
22. Shift happens
❖ Deep Knowledge Ventures hires Vital,
an algorithm, for the board
❖ Narrative sciences writes financial
articles for Forbes with no human
involvement
❖ Watson, IBM, is better than most
physicians in reading medical analysis
❖ A self-driving car, by Alphabet
Google, has not been responsible of
any accidents after 3 millions miles on
the road (there have been 17 small
accidents caused by cars that were
driven by humans)
23. Shift happens
❖ Digital technologies have taken
most of human information
recording
❖ The web has changed a lot of
industries (music, news,
tourism, banks, and counting)
❖ But a lot more is coming
24. Shift happens
❖ Big data
❖ Robotics
❖ Nanotechnology
❖ Biotechnology
❖ Neuro-science
❖ Particle physics
❖ Additive production
❖ Artificial intelligence
❖ Collective intelligence
❖ Sharing economy
❖ Climate change
❖ Space exploration
❖ Startups
❖ Bitcoin
25. A robot suitcase which
follows you is made by the
Israeli startup NUA Robotics.
It is full of sensors, computer
vision and robotics
26. Lily is a drone that follows you
whereever you go and takes pictures
or movies about everything you do
27. Teslasuit is a virtual reality
device for full immersion
experiences
28. –Carl Benedikt Frey and Michael A. Osborne, Oxford University
“According to our estimates, about 47 percent of
total US employment is at risk”.
THE FUTURE OF EMPLOYMENT: HOW SUSCEPTIBLE ARE JOBS TO
.COMPUTERISATION?
http://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
30. ❖ sei un cittadino o un lavoratore preoccupato del futuro?
❖ sei interessato al futuro per migliorare i tuoi progetti?
❖ stai cercando opportunità nel contesto del Big Shift?
35. Che cosa succederà?
❖ Che cosa sappiamo di non sapere?
❖ Che cosa non sappiamo di non sapere?
36. Che cosa succederà?
❖ Siamo influenzati da ciò che vogliamo?
❖ Siamo influenzati da ciò che speriamo?
❖ Siamo influenzati dal pregiudizio?
37. Che cosa succederà?
❖ Abbiamo bisogno di una migliore comprensione del
futuro per migliorare i nostri progetti?
38. Abbiamo bisogno di un’epistemologia
❖ Fare la Domanda
❖ Cercare nel mondo
❖ Mappare le possibilità;
❖ fare la prossima Domanda
Jamais Cascio, futuris, Futures Thinking: The Basics
http://www.fastcompany.com/1362037/futures-thinking-basics
39. Abbiamo bisogno di un’epistemologia
❖ The Dragon - what we know that we don’t know
❖ The Black Swan - what we know doesn’t fit the theory
❖ The Mule - what we don’t know that we don’t know
Jamais Cascio, futuris, Futures Thinking: The Basics
http://www.fastcompany.com/1362037/futures-thinking-basics
40. Abbiamo bisogno di una strategia
❖ Non c’è una possibile previsione: è possibile definire
una strategia per costruire sistemi anti-fragili
Nassim Nicholas Taleb, The Black Swan, 2007
Nassim Nicholas Taleb's Home Page: http://www.fooledbyrandomness.com
Two quotes form Taleb’s new book: “Rationality is avoidance of systemic ruin.”
And “Rationality is indistinguishable from precaution.”
44. How we decide?
❖ Daniel Kahneman, Thinking,
Fast and Slow, Penguin, 2013
45. How we decide?
❖ We usually go with the first
idea that comes to our mind
❖ Reasoning is rare
❖ The first idea, intuition, comes
for repeated messages, deep
rooted ideas, culture, prejudice
and other things
❖ Some intuitive decisions are
made in terms of the way we
look at the future
46. ❖ We decide by intuition
❖ What we decide builds the future
❖ Sometimes there is reasoning, most of the times not
❖ The ideas we have about the future shape in some ways
our decision making
❖ The ideas we have about the future shape the future
51. Narratives
❖ This is where humanities and
techno-science collide and
generate what we are - for now
- calling: digital humanities
❖ Both science and arts are a sort
of research in unknown
territories
❖ They just use different tools.
And they should be talking
more between each other
52. Narratives
Financial values
The only judge is the market value,
which in turn is defined by future ability
to make profits. This means, for example,
that if humans cost too much, they will
be replaced by robots. This means that if
a startup has more financial backing it
will win on every competing idea.
Because the best is the financially
healthier. The rest is secondary.
53. Narratives
Techno-progress
What works wins. There are laws in
technological progress which allow us to
understand what will happen. The
Moore’s law commands on all of them.
And it describes the future in terms of
exponential explosion of the power of
computing. Which will extend to every
digitally powered machine. Exponential
growth is inevitable. Resistance is futile.
54. Narratives
Ecological stories
Everything is interconnected.
Phenomena coevolve. There is a plurality
of life forms and the more there are the
better for the health of the environment.
Pollution happens when consumption of
resources exceeds the generation of
resources. Every species growth arrives
to its limits. Every mutation looks for its
niche. Equilibrium is in diversity.
55. Narratives create a perspective
❖ People need to choose and a narrative creates an idea of
what a choice will bring
❖ Storytelling can be a sort of manipulation of the will of
people
❖ Freedom is consciousness about the narrative we think
we live in
56. –Carlo Goldoni
“I cannot write what is true,
because if I did nobody would believe me.
Thus, I write what is likely”.
57. Narratives need to be credible
❖ If people experience a life that is defined by a narrative,
they are brought to think that the narrative is the truth
❖ If a narrative is shared by the vast majority and is not
challenged, it tends to become self-fulfilling
❖ People live in an environment which is build by its
architects with a narrative in mind
58. Future thinking readings:
❖ Al Gore, The future, WH Allen, 2013
❖ James Canton, The extreme future, Dutton, 2006
❖ Joel Garreau, Radical evolution, Broadway Books, 2005
59. Future thinking readings:
❖ Age of networked matter. http://www.iftf.org/aonm/
❖ Future visions. http://news.microsoft.com/
futurevisions/
❖ Fantascienza come racconto del futuro http://
blog.debiase.com/2016/01/15/fantascienza-come-
racconto-del-futuro/
60. Future thinking readings:
❖ FUTURES THINKING: THE BASICS
❖ http://www.fastcompany.com/1362037/futures-thinking-basics
❖ FUTURES THINKING: ASKING THE QUESTION
❖ http://www.fastcompany.com/1413317/futures-thinking-asking-question
❖ FUTURES THINKING: SCANNING THE WORLD
❖ http://www.fastcompany.com/1470137/futures-thinking-scanning-world
❖ FUTURES THINKING: A BIBLIOGRAPHY
❖ http://www.fastcompany.com/1617780/futures-thinking-bibliography
61. Future thinking readings:
❖ Future timelinehttp://futuretimeline.net
❖ How to see into the future. http://www.ft.com/intl/cms/s/
2/3950604a-33bc-11e4-
ba62-00144feabdc0.html#axzz3zPYJLR8D
❖ CHAMP
● Comparisons are important: use relevant comparisons as a starting point;
● Historical trends can help: look at history unless you have a strong reason to expect
change;
● Average opinions: experts disagree, so find out what they think and pick a midpoint;
● Mathematical models: when model-based predictions are available, you should take
them into account;
● Predictable biases exist and can be allowed for. Don’t let your hopes influence your
forecasts, for example; don’t stubbornly cling to old forecasts in the face of news.
62. If we think the future as narratives:
❖ We don’t know the future, we just build it, by acting
now and generating consequences
❖ We act now by thinking in a way that is understandable
in terms of narratives
❖ The future is not the future of technology: it is a mix of
scientific, technological and humanistic knowledge
63. –Tom Perrault, Harvard Business Review
“But there will be a limit to how far computers can
replace humans. What can’t be replaced in any
organization imaginable in the future is precisely
what seems overlooked today: liberal arts skills,
such as creativity, empathy, listening, and vision.
These skills, not digital or technological ones, will
hold the keys to a company’s future success.”.
Digital Companies Need More Liberal Arts Majors
https://hbr.org/2016/01/digital-companies-need-more-liberal-arts-majors
65. It’s what happens in the info-sphere
❖ The info-sphere is no abstract notion: it is build of
nature, cables, platforms, information, knowledge,
networks, social relations, algorithms…
❖ The info-sphere evolves by projects and failures, visions
and experiments, startups and mega-companies,
software and hardware, power and critics.
❖ Innovation is the name of the game. And it shows some
evolutionary patterns
