Chrono-Spatial Intelligence in Global Systems Science and Social Media: Predictions for Proactive Political Decision Making Niki Lambropoulos, London South Bank University, UK Habib Fardoun, King Abdulaziz University of Saudi Arabia Daniyal M. Alghazzawi, King Abdulaziz University of Saudi Arabia http://2016.hci.international/ Friday, 22 July 2016 08:00 – 10:00 S159: Serendipity Engineering via Creative Context-Aware Learning in Social Media Room: Pier 7 http://2016.hci.international/index.php?module=pagesmith&id=163#2

1. Chrono - Spatial Intelligence
Time - Space Intelligence
Chrono-Spatial Intelligence in Global Systems Science and Social Media:
Predictions for Proactive Political Decision Making
Niki Lambropoulos, London South Bank University, UK
Habib Fardoun, King Abdulaziz University of Saudi Arabia
Daniyal M. Alghazzawi, King Abdulaziz University of Saudi Arabia

2. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
Agenda
• Global Systems Science
– Social Media
• Human Patterns
• Chrono-Spatial Intelligence
• Proactive Decision Making
• Serendipity Engineering
• Conclusions

4. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
How to Make Big Choices in Life?

5. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
Global Systems Science (GSS)
Global Systems Science (GSS) is to
• provide scientific evidence
• support policy-making, public action and civic society
• collectively engage in societal action
(https://ec.europa.eu/digital-agenda/en/global-
systems-science)

6. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
Social * Political
Change our patterns
Think Big

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Human Beings + Social Media

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Patterns + Social Media

9. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
Time is culturally experienced
TIME

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Co-Incidences
Small Events Converging into Bigger Actions

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Time & Space Connections
What?
• Series of fortunate and unfortunate events
• Social media such as Twitter, Facebook, information on Web
• Homogeneity or other in correlations and associations
• Hints or possible undesirable movements
How?
• optimization methods for training forecast algorithms
• distributed forecast
• knowledge management on the cloud
• streaming media visualisation
• lines of actions behind appearance of events and unexpected actions
• processes for specific motives and patterns
Why?
• predictions, aid or prevention for effective and efficient proactive actions

12. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
1.0 2.0 3.0
• Web 1.0 was revolved around top-down Information
and E-commerce
• Web 2.0 moved beyond static pages allowing users to
interact and collaborate utilising Social Media
collaborative platforms
• Web 3.0 is about enhancing the
‘intelligence’ of the Web underlying
architecture, so the user and the
machine can recognise behavioural
patterns modify them and re-create
the virtual environment based upon
users’ own goals and dreams

13. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
1. Individual
2. We, Communities
3. We, the Ecosystem
SPACE

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Inter-Connectedness
Chance favours the connected mind.

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Threads of Our Selves Online
1.Personality traits
2.Behaviour

16. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
Detect the Patterns
http://radio-weblogs.com/0105910/images/newman_internet.gif http://dgeiu3fz282x5.cloudfront.net/g/l/l-86932.jpg

17. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
Understand the Patterns
Humans imitate
for themselves
& systems
• Behaviours
• Ways of
working
• Processes
• Organisational
structures
• <Other/>

19. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
Proposition

20. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
Chrono-Spatial Intelligence (CSI)
Social Media Research Platform
Three dimensions on effect:
• Form: level, slop, variance & cyclicity
• Permanence: continuous or discontinuous
• Immediacy: immediate or delayed

21. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
CSI Social Media Research
Context: events, people, time and locations can generate visible pathways, connections
Methods
• Time series design
• Big data Analysis
• Specific Focus Groups and Interviews
• Sequential Analysis (in series)
• Natural Language Processing
• Social Network Analysis
Analysis
• Data visualisation, semantic annotations, analytics
• Forecasting algorithms
– timelines on past, present and future actions and activities
– spatial intelligence for locations
– individuals and groups
– Information hubs
– Identification of context conditions
– peak points in data analysis
– abnormalities
• Proactive Decision Making
– Forecasting
– Serendipity Engineering

22. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
Politics & Serendipity
Deal with Uncertainty or Conflicting Evidence
• Proactive decision making
– Serendipity Engineering
• Big Data Analysis for
– integration and visualisation,
– cascading / escalating effects in social networks
– indicator-based and event-based surveillance

23. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
Serendipity
Serendipity is the process through which we
discover unknown unknowns.
Understanding it as an emergent property of
social networks, enables us to treat it as a
strategy for organizing people and sharing
ideas.

24. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
CSI & Serendipity Engineering
• Deal with randomness, interaction, chaos and complexity
• Create innovative aspects and directions
• Engineer accidental intentions by controlling
– directions for people flow
– concepts, ideas and their relationships
– structural holes for organisations
– benefits and problems
– restrictive or enhancing actions
– abnormalities
• Proactive Decision Making
• Deus Ex Machina

25. HCI International, Toronto, Canada, 17 - 22 July 2016 http://2016.hci.international
Conclusions
Chrono-Spatial Intelligence (CSI)
• Identify fortunate and unfortunate series of events
• Locate important ideas and individuals/groups
• Recognise apparent or hidden connections
• Be proactive in political decision making
CSI in strategic thinking
• Enable Big Data Social Media Research
• Engineer Serendipity to form new avenues
• Lower financial and human cost and resources
• Bring the right people to the right place at the right time
Future research
• CSI Platform implementation