Fifty Years of Learning from #Data Prof. Robert Calderbank #TuringLecture @TuringInst

Professor Robert Calderbank came from Duke University in North Carolina to deliver this superb overview over the past 50 years and how data science is the result of that development.

Having created the Information Initiative @ Duke, he presented the Data+ program that attracts undergraduates in an interdisciplinary way and prepares them for their careers. 

He ‘sells’ them as teams of three rather than as individuals to employers!

In this slide, he shows the three levels defining data science on the right:

  1. Marshaling;
  2. Analysing;
  3. Visualising and Communicating.

On the left he shows the ‘functionality’ or ‘technique’ used, to place projects:

  1. Fact checking
  2. Imputation
  3. Merging / Collating Data
  4. Clustering
  5. Image Analysis
  6. GeoSpatial Analysis
  7. Network Analysis
  8. Statistical and Mathematical Models
  9. Machine Learning
  10. Publications / Grants
  11. Policy Briefs / White Paper
  12. User Interface
  13. Integrating into Systems.

At the end of the talk I asked where he thinks the trend is going, given the financial and cultural gaps between commercial companies and scientific universities. The live stream is gone, but the video will be here. He encouraged the Turing Institute to become the hub for ‘super international leaders’! Currently, five universities are on board. Let’s see what the future will allow us to create with this hub!

I blogged about big commercial and very big scientific data in 2013. Financial data runs and ruins the world. What realities does it reflect???

Can we learn from data about realities?

Wait till the world looks at their data in our new visualisation styles, currently still work in progress.

About Sabine Kurjo McNeill

I'm a mathematician and system analyst formerly at CERN in Geneva and became an event organiser, software designer, independent web publisher and online promoter of Open Justice. My most significant scientific contribution is
This entry was posted in 3D Metrics, Alan Turing Institute, Big data, Data Analytics, Data Science, Visualisation Styles and tagged , , . Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s