---
res:
  bibo_abstract:
  - "<jats:title>Abstract</jats:title>\r\n                  <jats:p>This survey paper
    opens a Special Issue of ZDM – Mathematics Education on “Enhancing data literacy
    for citizenship: Innovative approaches in data science and statistics education.”
    In this paper we aim to conceptualize ‘data literacy for citizenship’ (DataLitCit),
    going beyond prior conceptualizations of statistical and data literacies. We propose
    a working definition of DataLitCit that integrates notions of citizenship with
    the landscape of statistical and data literacies, and elaborate on four key areas
    that we consider particularly relevant for developing DataLitCit, including: criticality,
    data argumentation and evidentiary practices, models and modeling, and creating
    a bridge to AI literacy. We end with a discussion of the key contributions of
    the paper, and implications for education and future research directions.</jats:p>@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Travis
      foaf_name: Weiland, Travis
      foaf_surname: Weiland
  - foaf_Person:
      foaf_givenName: Rolf
      foaf_name: Biehler, Rolf
      foaf_surname: Biehler
      foaf_workInfoHomepage: http://www.librecat.org/personId=16274
  - foaf_Person:
      foaf_givenName: Iddo
      foaf_name: Gal, Iddo
      foaf_surname: Gal
  - foaf_Person:
      foaf_givenName: Maxine
      foaf_name: Pfannkuch, Maxine
      foaf_surname: Pfannkuch
  bibo_doi: 10.1007/s11858-026-01843-y
  bibo_issue: '6'
  bibo_volume: 58
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/1863-9690
  - http://id.crossref.org/issn/1863-9704
  dct_language: eng
  dct_publisher: Springer Science and Business Media LLC@
  dct_title: Conceptualizing Data Literacy for Citizenship@
...