Project Overview

The NGAIA project is focused on the problem of domain-specific access to information in new media formats. Information access, encompassing finding, selecting and using relevant content, is one of the most challenging yet enabling components of our digital economy and contemporary society.

A recent report on the search industry worldwide estimates the total valuation of search technologies at US$780 billion in 2009 (US$242 billion in the United States alone)[1]. In a year, approximately 1.6 trillion searches are conducted globally, and yet many of them fail due to the inability of generic search engines to serve specific needs. For this reason, the proportion of searches conducted on generic (horizontal) search engines is dropping relative to the use of domain-specific (vertical) search technologies [1]. NGAIA is addressing this problem directly, by taking a multidisciplinary approach to studying the information tasks and needs within select professional domains and designing systems to suit those needs.

In addition to studying specific domains, the networked structure of GRAND allows us to study the problem of domain-specific information access across domains and develop a generalized framework for the design of such systems.

[1] McKinsey & Company, (July, 2011). The impact of Internet technologies: Search. Retrieved from

Leave a Reply

Researchers at the GRAND Cafe in Halifax

NGAIA at East Coast GRAND Café

NGAIA was well represented at the east coast’s first GRAND Café. On January 31st, 2013, the Grand Café Halifax brought together GRAND HQP from Dalhousie University and the Nova Scotia College of Art and Design University. Approximately 20 GRAND HQP, PNIs, and CNIs were in attendance representing diverse GRAND projects. The Café was a great …

Read more

NGAIA Researchers Win HCIR Challenge

Researchers from the NGAIA project have won the 2012 HCIR Challenge with their entry, Virtu. Part of the Sixth Symposium on Human-Computer Interaction and Information Retrieval Conference, held Oct. 4-5 in Cambridge, MA, this year’s Challenge was to design a system to provide efficient discovery of experts and expertise, using a dataset of more than …

Read more