1. e-(Social) Science: Where next? 4th International e-Social Science Conference Manchester Malcolm Atkinson Director e-Science Institute UK e-Science Envoy www.nesc.ac.uk 19 th June 2008

2. Is e-Social Science Different?

3. Outline Why should we Invest in e-(Social) Science Research? Change what we do? Measure and establish value? Become more (internationally) collaborative? Balancing concerns A vision of 2020 e-Social Science Research

4. The 21st Century This is the century of information Prime Minister Gordon Brown, University of Westminster, 25 October 2007

5. Changing Context for Research Collaboration growing International challenges Digital-systems revolution Cornucopia of data Shared remote facilities Ambient (global) computational and content services Transforming all professions and careers e-Science remains an essential part of our response

6. GRID/ ITS The Information Explosion 988EB (2010) 161EB (2006 by IDC) = 1ZB Slide: Satoshi Matsuoka

7. Power will cost more than hardware Lifetime of a disk 5 years (warranty) Power consumption of 1PB in 5 years 2.2MWh Cost: $350,000 Carbon footprint > aviation Growing faster Typical University Doubles ICT GHG every 4 years Are there economists & social scientists who can help?

8. and differences Matrix: discover synergy Observation Modelling Analysis Action Collaboration Anthropology Archaeology Astronomy Biology Biochemistry Chemistry Demography Economics Engineering Geography Scholarship Diagnosis Decision support Implementation

9. Long-term Strategic Cycle Existing communities investments, practices visions and challenges Analysis & collation of requirements Priorities and goals Research case for investment Stability commitments Analysis of technical, organisational & social options Business case Delivery plan Collaboration commitments Procurement & commissioning Community building Tool and service delivery Outreach, Training & Education New methods Growing communities New research results New policy and business Newly skilled graduates Measure effects Analyse impacts Evidence of Value Empirical e-Science

10. CIR 2020 Vision It has a major (potential) impact for every research and innovation field It needs focus and charismatic leaders Let it find its own focii Competitively establish 20 Doctoral Training Schools Led by 20 enthusiastic, high-profile professors At the peak of their research career Adept at exploiting computational and digital data advances For their field of research Strongly connected with leading businesses in that field Supported by professional outreach to industry, schools, universities, media, … How many in Social Science?

11. ? Picture composition by Luke Humphry based on prior art by Frans Hals

12. Balanced and Coordinated CIR Address the need for coordination and planning Synergy across disciplines International synergy Leadership for long-term strategies Support continuous innovation of research methods Provide easily used, pervasive and sustained e-Infrastructure for all research Enlarge the productive research community who exploit the new methods fluently Generate capacity, propagate knowledge and develop a culture via new curricula