The main purpose of DTL is to support the development of software on data transparency & privacy. With this aim DTL will launch its first Call for Tools on August 10th for projects that provide privacy and transparency to users on how their data is being used when they connect to online services: which data is collected, who is collecting that data and how it is used. The aim of this call is to give economic and technical support to complete apps, tools, libraries and other forms of software that explore topics aligned with Data Transparency Lab’s mission.
The current call will award €50 000 in total and the number of selected projects will depend on the amounts requested by the applicants that make it to the final. Participants will be able to select the required amount to finalize the project, from €10 000 to €25 000, and will have to describe how they plan to spend the requested funds. In addition to the economical prize, the selected projects will get technical support from an advisor from Telefónica with whom the will sign a Schedule of Work to supervise the development of the tool and guarantee the success of the project.
How to participate
If you want to submit a proposal, please fill in the form at the right side of this page.
• 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 behavioural 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.
• Transparency of Artificial Intelligence and Machine learning algorithms.
• Explainable Artificial Intelligence.
• HCI challenges in demonstrating transparency/privacy/algorithmic bias concepts to user.