opened 2014 keynote

94
1. prediction culture.

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Slides from my keynote at OpenEd 2014.

TRANSCRIPT

Page 1: OpenEd 2014 Keynote

1.

prediction culture.

Page 2: OpenEd 2014 Keynote

“predictions are hard. especially about the

future”

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but predictions about me are increasingly

accurate.

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“it’s like they know me”

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it’s like they know me

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when it comes to academic fields that are, or can be, data

driven…

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https://www.scienceexchange.com/

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probability is going to be a way that we

know.

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a different way of knowing requires a

different way of teaching

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probability changes every time new information is fed to the

model.

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are we going to have pedagogy that can

keep up?

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2.

the platform of the future

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Multi-side platform

Seller Buyercross-platform network

effect

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“the sharing economy”

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“the rental economy”

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the markets that develop are better than terrible status

quo.

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but they are markets of rent, of contractor, of “better than

terrible.”

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what?

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open multi-sided platforms.

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like closed MSPs, gets more valuable the more people

participate in it.

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the problem is: we don’t think in terms of MSPs, or markets, and we should.

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“is it open” is the wrong question.

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reusable content is more valuable to the end user than

non-reusable content.

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(built on reusable content)

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(built on unusable content)

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“does it create more value than a closed version” is the

right question.

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3.

thinking in terms of value creation requires practice

change a technical one, increasingly.

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not just solo labs, but communities.

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TCGA Pan-Cancer Consortium

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TCGA Pan-Cancer Consortium

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TCGA Pan-Cancer Consortium

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the problem: the tacit knowledge used to analyze data is not

captured.

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it’s a science practice problem. it is not an

“open” problem.

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doi:10.7303/syn1710680.4

TCGA Pan-Cancer Consortium

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combining new practice with version

control and provenance…

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18NPG papers

68core projects248

researchers

28institutions

1070datasets1723

results

TCGA Pan-Cancer Consortium

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gained users from across TCGA

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50

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51

A

B

C

D

E

F

1

2

3

4

5

6

groups datasets subtypes

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52

A

B

C

D

E

F

1

2

3

4

5

6

G ...

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not just solo labs, but challenges.

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code sharing a prerequisite.

http://synapse.org

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56

76% accurate.

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generated an entire suite of available math models attacking the

problem.

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4.

practice change requirement is not limited to the

practitioners.

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how many sides? platform design?

price? how to govern?

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how many sides? platform design?

price? how to govern?

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how many sides? platform design?

price? how to govern?

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we need to embrace design to be a platform.

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not designed around the idea, let’s build a closed

ecosystem.

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responding with “let’s build an open ecosystem” isn’t

going to win.

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responding with “let’s create more value for the

user” is.

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design prioritizes the user, not the asset being

licensed

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winning design can embed open into systems that

never contemplated open.

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written by a doctor reviewed by a lawyer

edited by a committee

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written by a doctor reviewed by a lawyer

edited by a committee

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written by a doctor reviewed by a lawyer

edited by a committee

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courtesy of: David Fore

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iconographic representations of key concepts in informed consent

“nouns and verbs”

from Sage Bionetworks IRB approved studies

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from the digital commons

“nouns and verbs”

iconographic representations of key concepts in informed consent

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“sentences” via animation

“separating your identity from your data”

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storyboard layouts

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“stories” that create consent

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open methods that create more value than closed methods.

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social value. moral value. scientific value. economic value.

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educational value.

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what we “know” is a lot less stable than it used to be.

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the right to reuse is the right to be current.

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the right to reuse is the right to get better.

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the right to reuse is the right to create new value.

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thank you.

@wilbanks [email protected]