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WHAT THE IOT SHOULD LEARN FROM THE LIFE SCIENCES BE OPEN OR MISS OUT! or

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Page 1: Boris IoT slides

WHAT THE IOT SHOULD LEARN FROM THE LIFE SCIENCES

BE OPEN OR MISS OUT!

or

Page 2: Boris IoT slides

http://knowledge.openboxsoftware.com/blog/the-evolution-of-business-intelligence

excerpt from

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modified, image from http://www.householdappliancesworld.com

health management

air conditioning

smart heating

communications

security

entertainment

lighting controlweather monitoring

room occupancy

Page 4: Boris IoT slides

Internet

mobile devices

“everything else”

Page 5: Boris IoT slides

‣ Everything is connected‣ Big, noisy, often

unstructured data

www.thingslearn.comAnalytics, context integration, machine learning and predictive modelling for the IoT.

Page 6: Boris IoT slides

0 clean shirt left +

washing machine estimates 97% of your last pack of

powder used +

it’s Wednesday, 23:55 +

the last four Thursdays had a morning business

meeting +

the car is parked 20 m from a shop

+ last retail activity: 8 sec ago

Send immediate text reminder to pick up

washing powder + send tweet from @BorisHouse

“need identified” AND “notification appropriate”Actionable insight.

From everything.

Page 7: Boris IoT slides

health management

air conditioning

smart heating

communications

security

entertainment

lighting controlweather monitoring

room occupancy

everything is an app! no interfaces!

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from https://hello.is

Page 9: Boris IoT slides

THE CONSUMER IOT FAILS FOR ITS LACK OF CONNECTEDNESS

Matt Hatton, Machina Research The BLN IoT ‘14

Internet replaces wire

It’s all about the connectedness

M2M

consumer

IoT

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• Computational biologist• Research group leader• Lecturer in genome biology• Advisor at

Who is@BorisAdryan

was

EXPECTATION MANAGEMENT

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DNA = storage of a blueprint

RNA = ‘active copy’ of DNA

protein = the building blocks of cells and tissues

LIFE AS WE KNOW IT

transcription

translation

Gregor Johann Mendel,exhibited in the Library at the NIMR

Page 12: Boris IoT slides

• Reading DNA information

• Determining “the sequence of a gene” was a PhD in the early 1980s

• Data processing was mainly transcribing the observation into a research paper

BIOLOGY THEN AND NOWSEQUENCE INFORMATION

Sanger sequencing ca. 1980

http://www.eplantscience.com

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BIOLOGY THEN AND NOWSEQUENCE INFORMATION

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BIOLOGY THEN AND NOWGENE ACTIVITY INFORMATION

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26 ATP

• Signal transduction and metabolic pathways

• Characterisation of proteins and substrates that mediate chemical reactions

• Nobel prize material

BIOLOGY THEN AND NOWBIOCHEMISTRY

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• We know about 250k metabolites

• 100k protein structures

• on the order of 10k different chemical reactions

BIOLOGY THEN AND NOWBIOCHEMISTRY

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‣ Everything is connected‣ Big, noisy, often

unstructured data

‣We had studied how biological entities depend on each other

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LIFE SCIENCE STRATEGIES DON’T WORK IN THE IOT- There are no commonly accepted

- ‘catalogue’ of things,- ‘ontology’ of things,- ‘data format’ of things,- ‘meta data’ for things.

- Most businesses are driven by revenue, not long-term strategic vision

- Service providers have no need to publish

- Data can be highly personal (cheap excuse)

unless they’re

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WE HAVE A PROBLEM WITH KNOWLEDGE REPRESENTATION

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FORMALISING KNOWLEDGE

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FORMALISING KNOWLEDGE WITH GENE ONTOLOGY

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CURRENT GOVERNMENT INVESTMENTS INTO GENE ONTOLOGY

NIH alone spent $44,616,906 on the ontology structure since 2001(no data for UK/EU spendings)

~100 full-time salaries for experts with domain-specific knowledge

~40,000 terms

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Oct. 1995

TOWARDS MIAMI AND DATA REPOSITORIES

cf. IoTNov. 1993

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META DATA, SHARING AND DATA REPOSITORIES

founded in Nov. 1999

But this is a complex and ambitious project, and is one of the biggest challenges that bioinformatics has yet faced. Major difficulties stem from the detail required to describe the conditions of an experiment, and the relative and imprecise nature of measurements of expression levels. The potentially huge volume of data only adds to these difficulties.

NatureFeb. 2000

Nov. 2000 Oct. 2002

Wide adoption as requirement for publication in scientific journals

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META DATA, SHARING AND DATA REPOSITORIES

cf. IoT 2015

since 2003

Semantic Sensor Network Ontologyhttp://en.wikipedia.org/wiki/Silo

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story

measurements + meta data

open, public repositories

human curators

ontology terms

community

PUBLISH OR PERISH

ok?

journal

informal exchange - no credit!

funders

assessment

The majority of this infrastructure is paid for by governments and charities

industry!

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Page 29: Boris IoT slides

measurements + meta data

storage & provenance

human curators

ontology terms

user

PUBLISH OR YOU’RE NOT DOING IOT

ok?

Maybe the majority of this infrastructure should be paid for by governments?

companycloud

device registration

“ “

privileges dataadded value

Page 30: Boris IoT slides

0 clean shirt left +

washing machine estimates 97% of your last pack of

powder used +

it’s Wednesday, 23:55 +

the last four Thursdays had a morning business

meeting +

the car is parked 20 m from a shop

+ last retail activity: 8 sec ago

Send immediate text reminder to pick up

washing powder + send tweet from @BorisHouse

“need identified” AND “notification appropriate”Actionable insight.

From everything.

“indicator of esteem”

3% left and

not pressed

“not home”

“buying”credit card:

“highly personal device” ~ alive and awake

Page 31: Boris IoT slides

SECURITY AND PRIVACY

http://iot.ghost.io

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THE INTERNET OF SUB-NETS?

https://www.smartthings.com

https://flic.io/partners

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Dr. Boris Adryan

@BorisAdryan@thingslearn

@SoftwareSaved

Open software Open source Open data

Fellow of the

Check out my talk on ‘Ontologies in the IoT’ on SlideShare:http://www.slideshare.net/BorisAdryan