Grants Program

DTL is a collaborative effort between universities, businesses and institutions to support research in tools, data, and methodologies for shedding light on the use of personal data by online services, and to empower users to be in control of their personal data online. In order to support research in these areas, DTL will award research grants to academic institutions worldwide.



Call for Proposals 2016 (Now Closed)

The call for proposals ended on Apr 30th, 2016.

Grant awardees have been announced.


This year, DTL will award 6-8 research grants to academic institutions worldwide. The grants come in the form of a sum of up to 50K Euro that will be awarded to successful applicants for pursuing research that will lead to the development of software tools for the following topics:

Research Areas

Tools, Platforms for:

Privacy - related topics
  • Detection with quantification and attribution of tracking, including advanced finger - printing methods ;
  • Detection with quantification and attribution of Personally Identifiable Information (PII) leakage;
  • Detection with quantification and attribution of online behavioral targeting on advertising, search, recommendation, etc.;
  • Detection with quantification and attribution of location tracking;
  • Detection with quantification and attribution of cross device/platform tracking;
  • Software for comparing objectively the privacy leakage or transparency-related outcomes of other tools developed in the context of DTL or independently.
Reverse engineering efforts for transparency:
  • Reverse engineering advertisement placement, recommendation, etc.;
  • Reverse engineering online pricing (e-commerce, spot/surge pricing for cloud, transportation, accommodation and other services);
  • Transparent-by-design ways to using data that protects privacy;
  • HCI challenges in demonstrating transparency/privacy results to users.
Discrimination-related topics:
  • Detection of geoblocking in e-commerce, content distribution service, etc.;
  • Impact of algorithmic personalization, algorithmic discrimination, personal filter-bubbles, & societal polarization, etc.

Research Committee Chairs

In alphabetical order

Name Affiliation
Balachander Krishnamurthy AT&T Labs -- Research
Nikolaos Laoutaris Telefonica Research

Research Committee Members

In alphabetical order

Name Affiliation
Ernst Biersack Eurecom
Jeff Brueggeman AT&T
John W. Byers Boston University
Claude Castelluccia INRIA
Augustin Chaintreau Columbia University
David Choffnes Northeastern University
Emiliano de Cristofaro UCL
Daniel Coloma Telefónica
Josep Domingo-Ferrer Universitat Rovira i Virgili
Krishna Gummadi Max-Planck Institute for Software Systems
Tristan Henderson University St. Andrews
Marco Melia Politecnico di Torino
Ionel Naftanalia IAB Europe
Nick Nikiforakis Stony Brook University
Chris Payne World Federation of Advertisers
Chris Riley Mozilla
Vincent Toubiana CNIL - Commission Nationale de l'Informatique et des Libertés
Sara Watson Tow Center and Berkman Center

The grants are aimed towards supporting fully or partly the work of a Principal Investigator (PI) and at least one PhD student or postdoc for a period of approximately a year. Ideally, they should produce software tools and platforms that enable end-users to better understand or control how their personal information is being collected and used in deployed online services.

Successful applicants are expected to present their results in the annual DTL workshop and acknowledge the funding source but beyond that there is no other reporting obligation.

Download our Grants Program Handbook for more information on the Steering and Research Committees, and the review process.