Big Data Analytics (BDA) Effects Survey

Step 1 of 4 – (Mainly) General/national level impacts

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    • Drawing on literature, discussion, and knowledgeable feedback, we have identified 18 potential effects (i.e., outcomes, impacts) of widening uses of Big Data Analytics (BDA). Quoting the White House Big Data initiative, by BDA we mean improving our ability to extract knowledge and insights from large and complex collections of digital data.
      We seek your view on these effects taking place in 10 years, focusing on the United States. We organize these in three parts: A) effects mainly on general, national levels, moving toward B) those mainly affecting organizations, and then c) those primarily on individuals (but recognize overlaps).

    For more information about our BDA Effects research and our intended visualization of survey results, see: Big Data Analytics (BDA) Outcomes


      While we recognize potential interactions, please estimate each effect separately:
      Likelihood — how likely each effect is to occur to a significant degree in the U.S. by 2026 – on a scale from 1 (highly unlikely) to 5 (highly likely);
      Importance – how important for the U.S. Government to consider policy actions to address this effect – on a scale from 1 (not important) to 5 (highly important).

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