From a sea of projects to collaboration opportunities within seconds

Michel Drescher, Cloud computing standards specialist

OeRC, University of Oxford, UK

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This is your project.

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This is your project among H2020.

8400+ projects currently funded under H2020.

Source: European Commission

You’ve got a problem…

Hello, project!How will you ever find potential collaboration projects effectively and efficiently?

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That is impossible.

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CloudWATCH has had an idea…

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The 1-slide explanation

38 responses, scoring the importance of NIST Cloud

characteristics for them selves

Out of these, your collaboration opportunities lie

within this cluster!(Had you provided your

scores…)

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This is how it works.

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1. Data taking / scoring

“How important is … for your work/service/project?”

For 13 Cloud computing characteristics

1. Data taking / scoring

9Essential

Common

NIST SP 800-145

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2. Interactive analysis

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3. Access underlying data

2-step process:• Submit scores• Offline

verification

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A bit of statistics

Principal Component Analysis (Karl Pierson 1901, Harold Hotelling 1930)

Multi-variance analysisEmphasises variance and patterns in dataData transformation for dimension reduction in analysis

Hierarchical clustering using Euclidian distanceForm clusters of “similar” respondents, starting with 1-member clusters“Similarity” (i.e., distance) calculated using Euclidian distance functionDistance between clusters uses “weighed pair-group centroid”

performs well with large variance in cluster sizes

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Can I have a go?

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Yes you can.

But first, you must submit your scores!

SESA – 10 of 19 projects responded

ICEI – 4 of 13 projects responded

NATRES – 11 of 20 projects responded

DPSP – 3 of 24 projects responded

https://tethys.oerc.ox.ac.uk:8443/cluster/index.xhtml

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Demo time!(if agenda permits…)