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A-XLRM summary for BYTE case studies: Crisis, culture and health


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Author: Rachel Finn (Trilateral Research & Consulting)
Presented at: BYTE Workshop Work Package 5: Foresight

Published in: Technology
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A-XLRM summary for BYTE case studies: Crisis, culture and health

  1. 1. BYTE: A-XLRM summary for BYTE case studies Rachel Finn Trilateral Research, Ltd. BYTE project coordinator Big data roadmap and cross-disciplinary community for addressing societal externalities Crisis, culture and health 10 February 2016
  2. 2. Crisis informatics case study Background information ◦ Undertaken with the Research Institute for Crisis Computing ◦ Machine computing and human computing to make crisis maps from social media ◦ RICC provides the open source tool to humanitarian organisations and manages interaction between inputs and outputs ◦ Data characteristics ◦ 100,000s messages and images/day
  3. 3. @BYTE_EU Actors & Stakeholders Actors • RICC • Humanitarian organisations • Government • Firms: big data capabilities • Firms: big data providers Stakeholders • Social media users • Local communities • Those affected by crises
  4. 4. @BYTE_EU External forces & policy levers • For governments • Making additional data sources open • For RICC and data centres • Reducing the digital divide • Harmonising laws Policy levers • Climate change • Natural disasters • Political conflicts External forces
  5. 5. @BYTE_EU Relationships Citizens/local authorities National authorities Humanitarian organisations
  6. 6. @BYTE_EU Measures of merit Positive • Faster relief • Better resource predictions • New business models through open data • Infrastructure and technology improvements Negative • Privacy issues, incl. data misuse • IPR issues • Distraction from core humanitarian tasks • Difficulty assessing data reliability
  7. 7. Cultural data case study Background information ◦ Undertaken with A Pan-European Cultural Heritage Organisation (PECHO) ◦ EU-funded aggregator of more than 25 million digitised objects from cultural heritage institutions in Europe ◦ Incl., books, sculptures, paintings, films, maps, audio recordings, etc. ◦ Data is primarily comprised of metadata outlining other organisations’ collections
  8. 8. @BYTE_EU Actors & Stakeholders Actors • National European cultural heritage organisations • PECHO • Policy makers • Legal professionals • Public and private funding bodies Stakeholders • General public • Libraries, archives, galleries, museums • Open data advocates
  9. 9. @BYTE_EU External forces & policy levers • National and European governments as major sources of funding and policy framework • Managing intellectual property issues/ copyright reform Policy levers • Clearer information on data sources • Copyright issues • Qualified workforce • Diverse European language • American dominance over infrastructure External forces
  10. 10. @BYTE_EU Relationships European cultural heritage organisations Cultural heritage organisations in 3rd countries National cultural heritage organisations
  11. 11. @BYTE_EU Measures of merit Positive • Exploiting the metadata • Innovations of cultural services • New applications & business models within cultural heritage Negative • IPR and copyright challenges • Ethics of opportunistic search engines
  12. 12. Health case study Background information ◦ Undertaken with a university-based Genetic Research Initiative ◦ Discovery of new genetic links in relation to rare childhood diseases to aid treatment ◦ Data is primarily comprised of genetic profiles, which are growing in size as new sequencing techniques become more affordable
  13. 13. @BYTE_EU Actors & Stakeholders Actors • Health policy-makers • National Health Service • Genetic Research Initiative • Scientists and labs conducting genetic sequencing • Medical professionals Stakeholders • Patients and family members • Computational geneticists • Academics
  14. 14. @BYTE_EU External forces & policy levers • Health policy • Regulations • Funding restrictions • Treatment service restrictions • GRI • New business models based on genetic data Policy levers • National healthcare policies • Disease outbreaks • Personal data protection laws External forces
  15. 15. @BYTE_EU Relationships GRI Public healthcare providers Patients
  16. 16. @BYTE_EU Measures of merit Positive • Better treatments in near- term and long-term • Reduction of costs • Better research • Better access to information through open data Negative • Access to equipment • Budget restrictions • Discrimination because of income or disease category • Discrimination as a result of re-identification
  17. 17. @BYTE_EU Thank you for your attention! Key contacts: ◦ Rachel Finn, ◦ Kush Wadhwa, Website: BYTE on Twitter: @BYTE_EU