Posted: 23 Oct 2019 | 10:43
Over the last three decades the collections of libraries, archives and museums have been transformed by large-scale digitisation. The volume and quality of available digitised text now makes searching and linking these data feasible, where previous attempts were restricted due to limited data availability, quality, and lack of shared infrastructures. One example of this is the extensive digital collection offered by the National Library of Scotland (NLS) (see Figure 1) , which can be accessed online and also downloaded for further digital humanities research.
Posted: 26 Sep 2019 | 13:36
The iCAIRD project is working to establish a world-class centre of excellence in the application of artificial intelligence to digital diagnostics. The intention is that iCAIRD will allow clinicians, health planners and industry to work together, enabling research-active clinicians to collaborate with innovative SMEs to better inform clinical questions, and ultimately to solve healthcare challenges more quickly and efficiently.
Posted: 27 Jun 2019 | 10:06
The DARE project is addressing the challenges of combining extreme data, extreme computation and extreme complexity in scientific research.
Virtually every scientific domain is experiencing an increase in the volume of data it produces, with growing computational power enabling more complex simulations. Although comparing these simulations with observation can improve models and understanding, it is highly data-intensive.
Posted: 3 Jun 2019 | 10:25
EPCC has been working closely with Edinburgh-based fintech company Sustainably, supporting its rapid growth in the charitable giving sector.
Sustainably is disrupting a $400 billion market by making it easier for businesses and consumers to have a positive impact every day by rounding up cashless transactions and donating spare change to causes they care about automatically every time they shop.
Posted: 20 Dec 2017 | 13:37
I've worked on many data analysis projects in my career and two common themes are that obtaining the data can be a significant challenge and that once you obtain it you’ll notice it is very messy.
Posted: 24 Apr 2017 | 11:21
Recent devastating earthquakes in Nepal and Italy have illustrated the need for better understanding and more accurate operational forecasting of aftershock sequences to assist emergency response. This project is a multi-disciplinary collaboration to develop risk assessments for earthquake aftershocks using dense networks of traditional seismometers, and to explore the use of mobile phones as sensors and for community engagement.