Applications closed

Applications for the 2019 SAGE Concept Grants scheme are now closed.

The winner will be announced in May, stay tuned!


SAGE’s Concept Grants program has been developed as part of the SAGE Ocean initiative to fund innovative software ideas that support social science researchers to work with big data and new technologies. We have a small number of grants available, up to a maximum value of $35k (or £25k). We are seeking innovative proposals for software solutions that will tackle some of the challenges currently facing social scientists and enable more researchers to engage with computational methods and big data research.

Through the Concept Grants program, we are looking to support early stage software ideas, particularly those that include a plan for sustainability and/or that have future commercial potential within the academic market. We will look favorably on ideas that have wide-scale applicability within the social sciences and that will help further SAGE Ocean’s mission to equip social scientists with the skills, tools, and resources to work with big data and new technology.

SAGE Concept Grants are available to fund direct project costs, but not overheads.

Direct project costs include:

  • Software development

  • Market research

  • Workshops

  • Server/hosting costs

  • Equipment


2018 Concept Grant Winners

Concept Grant Lightbulb

The winners of our first three Concept Grants are:

  • Quanteda Studio, LSE, UK

A powerful, flexible, and user-friendly text analytic software tool that will require no programming experience to use and will run as a web application.

  • MiniVAN, Public Data Lab, FR/UK

An easy-to-use tool that will support non-specialist social scientists in the visual analysis and in the online publication of networks. 

  • Digital DNA Toolbox (DDNA), IIT-CNR, IT

A toolbox that will use bioinformatics techniques to provide researchers with a set of cutting-edge tools that can be used for many things, including assessing the veracity, trustworthiness, and reliability of content (and content producers) in online social networks and beyond.

Each of the winners has been awarded $35k to develop their ideas. 

Find out more about each of the winning projects on our blog.