Round 4

Original Announcement of the Round Four (2016) Competition

January 20, 2016. The Trans-Atlantic Platform today announced that it will be launching its first international funding opportunity: the T-AP Digging into Data Challenge.

The T-AP Digging into Data Challenge will launch in March 2016. The Challenge will support research projects that explore and apply new “big data” sources and methodologies to address questions in the social sciences and humanities.

The funding opportunity is open to projects that address any research question in humanities and/or social sciences disciplines by using new, large-scale, digital data analysis techniques. All projects must show how these techniques can lead to new theoretical insights. Proposed projects can use any data source.

About T-AP

The Trans-Atlantic Platform (T-AP) is an unprecedented collaboration between key humanities and social science funders and facilitators from South America, North America and Europe.

T-AP aims to enhance the ability of funders, research organizations and researchers to engage in transnational dialogue and collaboration. Among other activities, it works to identify common challenges and emerging priorities in social science and humanities research. T-AP also facilitates the formation of networks within the social sciences and humanities and helps connect them with other disciplines. The Trans-Atlantic Platform for the social sciences and humanities has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 613167.

About the Digging into Data Challenge

The Digging into Data Challenge has been funding cutting-edge digital research in the humanities and social sciences since 2009. Now under the auspices of T-AP, the program will support collaborative research teams from three continents: Europe (Finland, France, Germany, the Netherlands, Portugal (to be confirmed) and the United Kingdom); North America (Canada, Mexico, the United States); and South America (Brazil and Argentina).

Original Press Releases

Press releases about the winners of Round Four:

AHRC CONACYT DFG ESRC FAPESP (Portuguese) FAPESP (English) IMLS NEH SSHRC/NSERC (English) SSHRC/NSERC (French) T-AP NWO (Dutch)

Press releases announcing kickoff of Round Four:

DFG FRQ MINCyT SSHRC (English) SSHRC (French) NEH ESRC IMLS NSF CONACYT FAPESP (Portuguese)  FAPESP (English) AHRC

Round Four Conference

At the end of each round of funding, the grantees gather to present their work. The Round Four conference will be at the National Science Foundation in January 2020. See the conference web page.

Press: 

2016 Award Recipients:

An international collaboration among linguists and speech experts to study child language development across nations and cultures to gain a better understanding of how an infant’s environment affects subsequent language ability. 

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The study of influence and sharing among musicians through a computational analysis of jazz recordings and related resources. 

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An innovative international collaboration to study Relaciones Geográficas, a 16th century compilation ordered by the Spanish crown that gathered vast amounts of information about the New World through multiple records, both in Spanish and indigenous languages. Using a Big-Data approach, this project applies novel computational methodologies to study this important source for the colonial history of America. 

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A project bringing together scholars from economics, business, and computer science to study the emergence of computerized high-frequency trading and its impact on global equity markets. 

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An international collaboration of library and information scientists studying how Linked Open Data, a technique for publishing online data, can improve storage methods for humanities and social science data. Projects in musicology and economics will serve as use cases for this research. 

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A collaboration among an international team of folklore scholars and computer scientists to develop analytical techniques for studying folkloric traditions across multiple national databases.

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A collaboration among ancient studies scholars, linguists, and computer scientists to develop computational techniques for translating ancient administrative records stored on cuneiform tablets. 

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An international collaboration mapping the movement of pre-modern European manuscripts. The project links disparate datasets from Europe and North America to provide a view of the history and provenance of these manuscripts. 

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A collaborative research project that unites leading efforts in computational periodicals research to examine patterns of information flow across national and linguistic boundaries. The project draws upon large data collections of digitized 19th century newspapers to study the global culture of abundant, rapidly circulating information.

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A collaboration among an international group of economists using online prices, available from the Billion Prices project at MIT, to study standards of living across countries. 

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A collaboration among scholars of media studies, communication, and political science to study the history of media coverage of terrorist attacks and to gain a better understanding of how such coverage can be done in a responsible manner that does not provide aid to terrorists. 

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A research collaboration to develop and apply user-friendly software for large-scale speech analysis of 43 existing public and private speech datasets and to understand how English speech has changed over time and space. These diverse datasets are comprised of both Old World (British Isles) and New World (North American) English across an effective time span of over 100 years.  

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An interdisciplinary research project on the motivations of self-organized collaborations and determinates of their success, through a large-scale study of the scholarly networks and open source software development projects housed on the GitHub repository. The project team includes scholars from sociology, cognitive science, computer science, and engineering. 

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An international collaboration to explore the dynamics of social actions based on traces left by social media. Focusing on opinion diffusion and language evolution, this project brings together an interdisciplinary team with expertise in data science, physics, linguistics, philosophy and law. 

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