Is it time we stopped indulging the quantified selves to focus on the bigger prize of improving the health of nations? Behaviour change expert Stuart Bowden highlights how to use passive data from open sources to guide health decisions. He will illustrate how this data can be used to actively move people who are disengaged with their health to make and sustain positive change. In 20 years’ experience, Bowden has worked with and consulted for numerous government bodies and private sector businesses using geographical search, emotional and social response data to trigger people into action. In the session, he will discuss how the scale of this opportunity far outweighs the quantified self.

1. FROM INDULGING THE
QUANTIFIED SELVES TO
IMPROVING THE LIVES OF
THE FITBIT-FREE MASSES

2. •
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STUART BOWDEN, BEHAVIOUR CHANGE EXPERT
•
•

3. It is time to move away from indulging the
quantified selves to use passive data to
transform the health of the fitbit-free masses.
What is the scale of the opportunity that passive data
provides to improve the health of the masses?
Which data owners do governments need to engage in order
to reap the benefits of mass passive data-mining?
At what point does using data to improve people’s health turn
a nation into a big brother state?

4. Helping the disengaged masses
Data gathered from wearable tech users is only a small part of the whole story –
what about the vast majority of people who can’t afford wearables or simply
aren’t engaging with them?
Decisions are being made based on people who have the least need but are the
most visible because they are tech enabled and engaging.
How can we use open, passive data to actively move those who are disengaged to
make and sustain positive changes to their health?

5. MERGING GOOGLE SEARCH AND
UK GOVERNMENT DATA TO MAP THE
PREVALANCE OF UNHEALTHY BEHAVIOURS
AND THE APPETITE TO CHANGE

7. WORKING WITH UCL* TO MINE THE
SENTIMENT AND EMOTIONS OF
SOCIAL DATA THROUGHOUT THE
SMOKING QUIT JOURNEY

8. PASSIVE DATA UNVEILS THE EMOTIONS EXPERIENCED THROUGHOUT THE QUITTING JOURNEY…

9. Symptom Week 1 Week 2 Week 3 Week 4 Week 5 post
Craving 1139 247 195 81 25 32
Stress 549 105 61 33 10 17
Constipation 416 125 61 69 22 50
Annoy 300 33 14 22 3 8
Anxious 253 89 25 31 7 11
Hungry 177 40 15 19 5 5
Sick 158 44 17 18 5 4
Depress 128 20 22 9 5 15
Headache 36 7 3 5 5 0
Concern 17 6 3 2 0 0
Diarrhoea 12 3 0 0 0 0
…AND DETERMINES EXACTLY THE SYMPTOMS WHICH CREATE THESE EMOTIONS

10. MESSAGES CAN TARGET QUITTERS ACCURATELY BASED ON THEIR EMOTIONS AND SENTIMENT EXPRESSED
ON SOCIAL MEDIA

11. CREATING REAL TIME RESPONSE
IN SOCIAL SPACES TO ANSWER
HEALTH QUERIES INSTANTLY

12. REAL TIME RESPONSE TO HEALTH ENQUIRIES ON SOCIAL SPACES IS WELCOMED BY THE VAST MAJORITY
6%
94%