Data Science Panel – Challenges and Curriculum
Dave De Roure
Yuri Kalnishkan (Royal Holloway)
Jeremy Frey (University of Southampton)
Sarah Quinton (Oxford Brookes)
Eric Meyer (Oxford Internet Institute)
What is e-Research?
• Research in every domain is increasingly data- and
computationally-intensive, carried out collaboratively over
• e-Research is the continuous technological and
methodological innovation in digital methods to achieve
new research outcomes – using new forms of data and
emerging infrastructural capabilities
• The Oxford e-Research Centre is a digital methods
incubator with around 30 early-adopter researchers
working in and across all disciplines
Big Data and
David De Roure
Economic and Social Research Council
• Digital Social Research Program
• Administrative Data Research
• Business Datasafe
• Big Data Network
• Centre for International Social
F i r s t
INT. VERSE VERSE VERSE VERSEBRIDGEBRIDGE OUT.
The challenge is to foster the co-constituted socio-technical system
on the right i.e. a computationally-enabled sense-making network
of expertise, data, models and narratives.
Big data elephant versus sense-making network?
1. What is your own "story" is as a data scientist?
2. What are the three most important skills we need
to teach data scientists and why?
3. How will these skills be different in 10 years?
4. Are we providing adequate training to meet needs
from your point of view?
5. Are we teaching people how to deal with data but
not how to really understand it?
6. Is there sufficient critical thinking in data science?