The 2017 Data Transparency Lab grant scheme is offering up to €50,000 for research aiding the development of transparency software tools. In its third year, the organizers are particularly interested in tools for detecting algorithmic bias and discrimination as well as in tools for exposing location and other IoT related privacy threats.

As listed on the DTL grants program homepage, research areas include:

  • Detection and analysis of algorithmic bias and discrimination, personal filter-bubbles, societal polarization, etc.
  • Detection and analysis of fake news and other manipulation techniques through social and other media.
  • Detection and analysis of large scale censorship/filtering efforts.
  • Detection and analysis of anti-competitive practices in online platforms.
  • Detection and analysis of large scale (commercial or governmental) surveillance/monitoring efforts.
  • Detection and analysis of geoblocking in e-commerce, content distribution services, etc.
  • Detection and analysis of tracking, including advanced finger-printing methods.
  • Detection of Personally Identifiable Information (PII) leakage.
  • Detection and analysis of online behavioral targeting on advertising, search, recommendation, etc.
  • Detection and analysis of location tracking.
  • Detection and analysis of cross device/platform tracking.
  • Reverse engineering online pricing (e-commerce, spot/surge pricing for cloud, transportation, accommodation and other services).
  • Transparency of physical location where personal data are stored as well as of network paths crossed during transfers.
  • Transparency challenges around new crypto-currencies and blockchain technologies.
  • Explainable Artificial Intelligence.
  • HCI challenges in demonstrating transparency/privacy/algorithmic bias concepts to user.

The first submission deadline is on May 10, 2017.