T-AP Digging into Data Challenge

The T-AP Digging into Data Challenge closed on June 30, 2016. The Platform thanks the many international teams that applied.

Funding decisions are expected to be announced in winter, 2017.

On March 1, 2016, The Trans-Atlantic Platform (T-AP) launched  the 2016 T-AP Digging into Data Challenge to support research projects that use “big data” to address questions in the social sciences and humanities. Although this is the fourth Digging into Data challenge, it is the first time it has been sponsored by T-AP. The deadline for applications was June 30, 2016.

This funding opportunity is open to international projects that consist of teams from at least three member countries, and must include partners from both sides of the Atlantic. Projects must address any research question in humanities and/or social sciences disciplines by using large-scale, digital data analysis techniques, and show how these techniques can lead to new insights. Successful applicants will receive funding from their own national funding agencies for projects that can last for up to 36 months.

The following research funders are participants in T-AP Digging into Data:

North America

Canada Social Sciences and Humanities Research Council of Canada

Natural Sciences and Engineering Research Council of Canada

Fonds de recherche du Québec  – Société et culture / Nature et technologies

Mexico Consejo Nacional de Ciencia y Tecnologίa
United States Institute of Museum and Library Services

National Endowment for the Humanities

National Science Foundation

South America

Argentina Ministerio de Ciencia, Tecnología e Innovación Productiva
Brazil Fundação de Amparo à Pesquisa do Estado de São Paulo


Finland Suomen Akatemia
France Agence nationale de la recherche
Germany Deutsche Forschungsgemeinschaft
Netherlands Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Portugal Fundação para a Ciência e a Tecnologia
United Kingdom Arts and Humanities Research Council

Economic and Social Research Council

Please visit the Digging into Data website for more information.

Digging Into Data Challenge