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CPS2449 Louisa Nolan et al.
                      •  Big Data is not a silver bullet, but we can create useful evidence, even
                         where outputs are not – or not yet – of the same quality as official
                         statistics
                      •  building  a  new  knowledge  base  for  quality,  not  just  of  novel  data
                         sources, but also of novel techniques, is challenging, but the principles
                         remain the same: understand user needs so that these are adequately
                         met, and explain quality clearly, so that users are confident in knowing
                         how and when to use new outputs; we may also need new approaches
                         to quality assurance, which give the subject matter experts confidence
                         in  results  from  complex  algorithms,  such  as  the  web  application
                         developed for Optimus
                      •  collaboration  is  key  for  data  science  teams,  and  that  includes
                         collaboration with subject matter exerts and data experts, as well as
                         the ultimate users
                      •  AI is also not a silver bullet, and human-in-the-loop approaches allow
                         humans to focus on oversight and quality assurance for difficult cases,
                         with  AI  processes  relieving  humans  from  the  burden  of  repetitive
                         processing
                      •  scale-up, from development and prototyping to production, requires a
                         different set of skills from development, and possibly a different team,
                         again, collaboration is vital in ensuring a smooth handover.
                      All this work is more fully described in the references (1,2,3).

                  References
                  1.   Nolan L. et al. (2019), Faster indicators of UK economic activity,
                      https://datasciencecampus.ons.gov.uk/faster-indicators-of-uk-
                      economic-activity/
                  2.  Pugh D., Williams S. & Johnson C. (2019), Understanding the
                      characteristics of high growth companies using non-traditional data
                      sources, https://datasciencecampus.ons.gov.uk/projects/understanding-
                      the-characteristics-of-high-growth-companies-using-non-traditional-
                      data-sources/
                  3.   Hopkins S., Clews G. & Eidukas A. (2019), Optimus – A natural language
                      processing pipeline for turning free-text lists into hierarchical datasets,
                      https://datasciencecampus.ons.gov.uk/projects/optimus-a-natural-
                      language-processing-pipeline-for-turning-free-text-lists-into-
                      hierarchical-datasets/
                  4.   Research Output: Economic activity, faster indicators, UK,
                      https://www.ons.gov.uk/economy/economicoutputandproductivity/outp
                      ut/articles/economicactivityfasterindicatorsuk/previousReleases




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