Data Science Panel – Challenges and Curriculum

ChairDave De Roure

PanelistsYuri Kalnishkan (Royal Holloway)Jeremy Frey (University of Southampton)Sarah Quinton (Oxford Brookes)Eric Meyer (Oxford Internet Institute)

Chris

tine

Borg

man

What is e-Research?• Research in every domain is increasingly data- and

computationally-intensive, carried out collaboratively over distributed infrastructures

• 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

More people

Mor

e m

achi

nes Big Data and

Computation

ConventionalComputation

Crowd& Cloud

SocialNetworking

Cyberinfrastructuree-infrastructure

Science 2.0Citizen Science

e-Research

David De Roure

Economic and Social Research CouncilShaping Society

• Digital Social Research Program• Administrative Data Research

Network• Business Datasafe• Big Data Network• Centre for International Social

Media Analytics

F i r s t

BioE

ssay

s,, 2

6(1)

:99–

105,

Janu

ary

2004

http://research.microsoft.com/en-us/collaboration/fourthparadigm/

The Problem

signal

understanding

Ich Fujinaga

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?

Iain Buchan

data

method

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?

Questions