The lack of computational reproducibility support and data ethics guidance is a major challenge for integrative knowledge infrastructure. This key area of activity for I-GUIDE involves supporting the process of decision-making around sharing data and data-driven research outcomes. These include issues of privacy, consent, equity, assessment of benefits and harms, transparency, and integrity in research practices and use of AI algorithms.

Geoethics is a central area of our Convergence Curriculum for Geospatial Data Science. Listen to I-GUIDE researcher Peter Darch explain why integrating this structural guidance for computational reproducibility and data ethics from the start is so important.

Geoethics Resources

  • GIS Ethics Case Studies, This recently updated and expanded collection of case studies is a classic contribution for this field, curated and maintained by Penn State University.
  • Data and Society,  Data & Society advances public understanding of the social implications of data-centric technologies and automation.
  • AI Now,  The AI Now Institute at New York University is an interdisciplinary research center dedicated to understanding the social implications of artificial intelligence.
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