Distributed Analytics and Information Science (DAIS) Group

Achieving situational understanding at the network edge via AI and collective intelligence

Smart City Big Data.jpeg
 

About


The International Technology Alliance in Distributed Analytics and Information Science (DAIS ITA) is a joint US/UK research programme set up to unlock the potential of “big data” and “fast data” in front line situations, where people and computer systems need to collaborate in a coalition of multiple agencies. Recent advances in artificial intelligence, machine learning, and network science have greatly improved the capabilities of technology to assist coalitions working together in rapidly-changing situations, such as major disasters, to make people safer.

Crime & Security Research Institute (CSRI) Co-Director Prof Alun Preece is the UK academic lead for the DAIS ITA programme and heads the Distributed Analytics and Information Science (DAIS) research group, based at the CSRI.

The DAIS group brings together colleagues from Cardiff’s College of Engineering and Physical Sciences with specialist expertise in artificial intelligence, machine learning, social computing, signal processing, and distributed computing.

 
 

News & Blog


Computer hand data b&w.jpg

Research


Instinctive Analytics B&W.jpg

Instinctive Analytics

In a coalition network, data is collected from sensing systems such as drones, satellites or robotic ground vehicles, and then processed by various computational techniques including signal processing and machine learning. The processed data is then delivered to human decision-makers in forms they can understand, such as natural language or pictorial visualisations. The DAIS ITA programme takes a unique perspective on the coalition network, viewing it as a “distributed brain”: re-imagining the traditional data analytic pipeline – from sensors to analytics to human – in terms of a neural network architecture used to simulate human cognition. This makes the system highly resilient and adaptable to changes in the network environment that often happen in rapidly-evolving emergency situations.

Principal Investigator at Cardiff: Ian Taylor

Collaborators: Cardiff University, Purdue University, IBM, US Army Research Laboratory (ARL), UK Defence Science and Technology Laboratory (Dstl)

Evolution of Human Systems B&W.jpg

Anticipatory Situational Understanding

Advances in sensing technologies and data analytics – especially machine learning – mean that computer systems are increasingly able to help people maintain awareness of an evolving situation and predict possible future events. However, current machine learning systems have two major limitations: (1) they are typically unable to explain their predictions in ways that are meaningful to humans; and (2) they need a huge amount of data to learn from, and many important kinds of event are relatively rare, meaning that computers need to be “told” rather than “taught”. This project is the first to study these problems – tellability and explainability – in the context of coalition operations, leading to novel ways of linking human-machine communication, reasoning, and learning.

Principal Investigator at Cardiff: Alun Preece

Collaborators: Cardiff University, University College London, University of California at Los Angeles, Airbus, BAE Systems, IBM, US Army Research Laboratory (ARL), UK Defence Science and Technology Laboratory (Dstl)

 

 

Anticipatory Situational Understanding B&W.jpg

Evolution of Human Systems

Successful multi-agency operations often involve understanding complex situations involving multiple groups with varying aims and capabilities. DAIS ITA is undertaking basic research into mutability of group-based human systems, and it can be modelled. Early work has identified five critical features of social groups that govern mutability, relating to social norms, individual standing, status rivalry, ingroup bias and cooperation. All these features lend themselves to computer modelling. The research also considers the important role of online social media in relation to understanding the mutability of groups. This can play an active role in supporting collective behaviour.

Principal Investigator at Cardiff: Roger Whitaker

Collaborators: Cardiff University, University of Massachusetts at Amherst, Pennsylvania State University, University of Southampton, Yale, BAE Systems, IBM, US Army Research Laboratory (ARL), UK Defence Science and Technology Laboratory (Dstl)

 

iStock-513116570 b&w.jpg
 

Publications

Here is a list of our recent, collaborative publications. To access the full archive of the DAIS ITA project's publications please visit the Science Library


People


Alun Preece  Academic Lead

Alun Preece Academic Lead

James Ashford  Research Student

James Ashford Research Student

Iain Barclay  Research Student

Iain Barclay Research Student

Dave Braines  Research Student

Dave Braines Research Student

Federico Cerutti  Principal Investigator

Federico Cerutti Principal Investigator

Walter Colombo  Research Fellow

Walter Colombo Research Fellow

Padraig Corcoran  Collaborator

Padraig Corcoran Collaborator

Laura D’Arcy  Research Student

Laura D’Arcy Research Student

Aleksandra Edwards  Research Student

Aleksandra Edwards Research Student

Dan Harborne  Research Assistant

Dan Harborne Research Assistant

Yulia Hicks  Collaborator

Yulia Hicks Collaborator

Liam Hiley  Research Student

Liam Hiley
Research Student

Lauren Hudson  Research Student

Lauren Hudson Research Student

Angelika Kimmig  Collaborator

Angelika Kimmig Collaborator

Dave Marshall  Collaborator

Dave Marshall Collaborator

Rhodri Morris  Research Student

Rhodri Morris Research Student

Chris Simpkin  Research Student

Chris Simpkin Research Student

Roger Whitaker  Principal investigator

Roger Whitaker Principal investigator

Harri Taylor  Research Student

Harri Taylor Research Student

Ian Taylor  Principal Investigator

Ian Taylor Principal Investigator

Liam Turner  Principal Investigator

Liam Turner Principal Investigator

Marc Roig Vilamala  Research Student

Marc Roig Vilamala Research Student

Sam Vente  Research Student

Sam Vente Research Student

 

Partners


Contact


 
 

Crime & Security Research Institute, College of Arts, Humanities and Social Sciences, Cardiff University, Level 2, Friary House, Greyfriars Rd, Cardiff CF10 3AE

Tel: +44 (0) 2920 870904

Email: daisgroup@cardiff.ac.uk