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New Forms of Data and Scientific Research


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New forms of data for research, policy evaluation and official statistics (STS027) session at 59th World Statistics Congress (WSC), Hong Kong, 28 August 2013

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New Forms of Data and Scientific Research

  1. 1. David De Roure New Forms of Data and Scientific Research
  2. 2. ChristineBorgman
  3. 3. DAMES LifeGuide eStat PolicyGrid Obesity e-Lab DReSS OeSS Genesis Genesis Rural communities Creative Industries Social Inclusion Entertainment Healthcare highwire Horizon Media Finance Web Science Current Nodes e-Social Science DE Hubs DE DTCs GeoVUE MoSeS MiMeG CQeSS HUB NeISS ncrm m m m m mm m mm NCRM phase 2 Harnessing advances in digital technology and practice to achieve world-class social research with maximum impact ds d NCRM phase 3 Demonstrators & Sustainability d ss s d m
  4. 4. More people Moremachines Quadrant 2 Big Data and Computation Quadrant 1 Conventional Computation Quadrant 4 Social Machines Quadrant 3 Social Networking Cyberinfrastructure e-infrastructure Science 2.0 Citizen Science e-Science David De Roure
  5. 5. F i r s t BioEssays,,26(1):99–105,January2004
  6. 6. • Paul writes workflows for identifying biological pathways implicated in resistance to Trypanosomiasis in cattle • Paul meets Jo who is investigating Whipworm in mouse. • Jo reuses one of Paul’s workflow without change. • Jo identifies the biological pathways involved in sex dependence in the mouse model, believed to be involved in the ability of mice to expel the parasite. • Previously a manual two year study by Jo had failed to do this. Computational Workflows Carole Goble
  7. 7. INT. VERSE VERSE VERSE VERSEBRIDGEBRIDGE OUT.  The Problem signal understanding Ich Fujinaga
  8. 8. Stephen Downie
  9. 9. Chris Lintott Scientists Talk Forum Image Classification data reduction Citizen Scientists
  10. 10. 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
  11. 11. data method
  12. 12.
  13. 13. Jun Zhao
  14. 14. Bill Browne
  15. 15. Web as lens Web as artefact Web Observatories
  16. 16. Nigel Shadbolt et al
  17. 17. Real life is and must be full of all kinds of social constraint – the very processes from which society arises. Computers can help if we use them to create abstract social machines on the Web: processes in which the people do the creative work and the machine does the administration… The stage is set for an evolutionary growth of new social engines. Berners-Lee, Weaving the Web, 1999 The Order of Social Machines
  18. 18. Some Social Machines
  19. 19. Four take-home messages: 1. Quadrant 4 = more machines + more people 2. Paradigm shift to data-driven research: statistical challenges 3. What are the objects in the sensemaking network and how are they shared? 4. New forms of data => New methods, new objects, new intermediaries in the data ecosystem, and new Social Machines Conclusion
  20. 20. @dder Thanks to: Christine Borgman, Carole Goble, Ichiro Fujinaga, Stephen Downie, Chris Lintott, Iain Buchan, Jun Zhao, William Browne