Author Archives: Christopher Brown

About Christopher Brown

Senior Co-design Manager (Research) at Jisc.

A summary of DiD3 final reports from the UK projects

The third Digging into Data challenge funded 9 UK projects, each with an international partner, as stipulated in the funding conditions. This challenge built on the successes of the previous two and Jisc has been involved in all three challenges. In the UK, Digging into Data Challenge 3 projects were managed by Jisc and sponsored … Read more

Digging into Data Phase 2 Projects – Summary and Reports

The Digging into Data Challenge aims to address how “big data” changes the research landscape for the humanities and social sciences. In particular, the four goals of the initiative are: to promote the development and deployment of innovative research techniques in large-scale data analysis that focus on applications for the humanities and social sciences; to … Read more

New Digging into Data website

The new Digging into Data website (http://www.diggingintodata.org) is up and running. It’s been rebuilt from scratch and I am reliably informed that it’s mobile friendly. This is a timely release as Monday (27 October) sees the start of the IEEE International Conference on Big Data. Seven Digging into Data projects’ PIs will be presenting papers … Read more

Trees and Tweets in the media

Although phase 3 projects have only recently started some have already received interest in the media. The Trees and Tweets project is conducting an analysis of dialect variation based on a corpus of billions of tweets and an analysis of migration patterns based on a dataset consisting of millions of family trees. At the Methods … Read more

Welcome

Welcome to the Digging into Data Challenge Phase 3 blog. On January 15, 2014 ten international research funders from four countries jointly announced the winners of the third Digging into Data Challenge, a competition to develop new insights, tools and skills in innovative humanities and social science research using large-scale data analysis. Fourteen teams representing … Read more