Detecting Terrorist Activities – “Making Sense”  EPSRC Sandpit on Detecting Terrorist Activities, May 2009.  Analysis and Visualisation of multi-modal.

Slides:



Advertisements
Similar presentations
MOTOROLA and the Stylized M Logo are registered in the US Patent and Trademark Office. All other product or service names are the property of their respective.
Advertisements

Continuous Compliance Assurance for Trusted Information Sharing: A Research Framework Bonnie W. Morris College of Business & Economics
DSS: Decision Support Systems and AI: Artificial Intelligence
Report on Intrusion Detection and Data Fusion By Ganesh Godavari.
Trust, Privacy, and Security Moderator: Bharat Bhargava Purdue University.
1 McGraw-Hill/Irwin Copyright © 2004, The McGraw-Hill Companies, Inc. All rights reserved. Chapter 8: Decision Support Systems What kind of decisions?
Trust, Privacy, and Security Moderator: Bharat Bhargava 1 Coordinators: Bharat Bhargava 1, Csilla Farkas 2, and Leszek Lilien 1 1 Purdue University and.
Provisional draft 1 ICT Work Programme Challenge 2 Cognition, Interaction, Robotics NCP meeting 19 October 2006, Brussels Colette Maloney, PhD.
MANAGING INNOVATION Unpacking the processes. Innovation is A new idea, the new use of an old idea which adds value.
Grand Challenges Robert Moorhead Mississippi State University Mississippi State, MS 39762
1 McGraw-Hill/Irwin Copyright © 2004, The McGraw-Hill Companies, Inc. All rights reserved. Chapter 8: Decision Support Systems Decision Support in Business.
DSS: Decision Support Systems and AI: Artificial Intelligence
Projects in the Intelligent User Interfaces Group Frank Shipman Associate Director, Center for the Study of Digital Libraries.
The College of Information Sciences and Technology ist.psu.edu.
WHT/ HPCC Systems Flavio Villanustre VP, Products and Infrastructure HPCC Systems Risk Solutions.
A NOTEBOOK PROGRAMME IN SCHOOLS Differentiation and the teacher librarian.
Toward an Integrated Competence-based System Supporting Lifelong Learning and Employability: Concepts, Model, and Challenges Yongwu Miao, Marcel van der.
Kansas State University Department of Computing and Information Sciences CIS 830: Advanced Topics in Artificial Intelligence From Data Mining To Knowledge.
Business Intelligence. business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data.
Research at Department of Computer and Systems Sciences – DSV.
NUI Galway (1) SMI2G Dr Catherine Enright & Dr Michael Madden
ITGS Standard Level Mr Gavin Johnson. ITGS The Diploma Programme information technology in a global society (ITGS) course is the study and evaluation.
Maritime Integration for Decision Advantage This brief is UNCLASSIFIED//FOUO Naval Undersea Warfare Center, US Southern Command, Naval Post Graduate School.
Evaluation and Research: Dual Purpose Data Collection Ann E. Austin Professor, Michigan State University ADVANCE PI Meeting March 5, 2013.
Introduction to Psychology Assembling the jigsaw puzzle: Past, Present, Future Assembling the jigsaw puzzle: Past, Present, Future.
11 C H A P T E R Artificial Intelligence and Expert Systems.
Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. Decision Support Systems Chapter 10.
THE COGNITIVE REVOLUTION: A HISTORICAL PERSPECTIVE Asheley Landrum and Amy Louise Schwarz.
TOP – 3090 Emerging Technologies IOT, IOE, 3D Printing, Machine Consciousness.
DTI Management of Information LINK Project: ICONS Incident reCOgnitioN for surveillance and Security funded by DTI, EPSRC, Home Office (March March.
Copyright  2003 McGraw-Hill Australia Pty Ltd PPTs t/a Internet Marketing Intelligence by Edward Forrest 1-1 Internet Marketing Intelligence Chapter 1.
Report on Intrusion Detection and Data Fusion By Ganesh Godavari.
Corporate Information Reconnaissance Cell (CIRC).
G52IVG, School of Computer Science, University of Nottingham 1 Administrivia Timetable Lectures, Friday 14:00 – 16:00 Labs, Friday 17:00 -18:00 Assessment.
An Introduction to NETS*S Students in High School Edmonds School District February 7, 2005.
McGraw-Hill/Irwin Business Research Methods, 10eCopyright © 2008 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 1 Research in Business.
Collide Research Group University Duisburg-Essen (UDE)
Jonathan Crabtree Assistant Director of Computing and Archival Research UNC Chapel Hill, Odum Institute Vision for Sociometric Analysis of Long-tail Science.
Decision Support Systems: Modern information systems on the modern battlefield Steven P. Frysinger, Ph.D. Integrated Science and Technology and Computer.
International Cyber Warfare & Security and B2B Conference Participation of Brazilian Cyber Defense Centre ( )
National Science Foundation Science of Learning Centers RESEARCH EDUCATIONWORKFORCE.
Crisis Management: Introduction Y.K. Zhumadil Al-Farabi Kazakh National University Open Faculty Interdisciplinary Seminar 22 October 2011.
WHO WE ARE Data Mining Machine Learning Natural Language Processing Led by Stanford attorneys Advisors include: Larry Kramer & Jonathan Zittrain Genesis.
Chapter 5 How Children Learn: They’re All Different.
1 ARTIFICIAL INTELLIGENCE Gilles BÉZARD Version 3.16.
  Computer vision is a field that includes methods for acquiring,prcessing, analyzing, and understanding images and, in general, high-dimensional data.
Cyberinfrastructure Overview of Demos Townsville, AU 28 – 31 March 2006 CREON/GLEON.
BIG DATA USES CASES & LESSONS LEARNED Marrakech – March 2016 Alexandre AKROUR, CEO 1.
Multiplication Find the missing value x __ = 32.
NCP meeting Jan 27-28, 2003, Brussels Colette Maloney Interfaces, Knowledge and Content technologies, Applications & Information Market DG INFSO Multimodal.
Loss Prevention, Auditing & Safety Conference 2009 Title Sponsor:
AWARDS OF ANTHONY CONSTANTINOU.  Anthony Constantinou attended The London School of Medicine at Queen Mary, University of London where he was a fellow.
The KDD Process for Extracting Useful Knowledge from Volumes of Data Fayyad, Piatetsky-Shapiro, and Smyth Ian Kim SWHIG Seminar.
SSH integration in climate action CARISMA project Noriko Fujiwara Centre for European Policy Studies Expert meeting on SSH in H2020 Brussels, 5 July, 2016.
Science for the Industry of the Future
A collaborative approach for incorporating forensic case data into crime investigation using criminal intelligence analysis and visualisation  Quentin.
Julia Lane New York University
“Intelligent User Interfaces” by Hefley and Murray A 1993 Perspective
Are we sure? UNECE-workshop on uncertainty treatment in Integrated Assessment Modelling January 2002 Rob Maas.
Spring 2003 Dr. Susan Bridges
DSS: Decision Support Systems and AI: Artificial Intelligence
Foundations of Institutional Research 2018 Data quality improvement
Multiple Intelligences is Howard Gardner's psychological theory about people and their different types of intelligences (logical, visual, musical, etc.)
Engineering Secure Software
علم النفس التحليلي كارل غوستاف يونغ
Information technologies/NBIC and Big data
Text Analytics and Machine Learning Workshop
Proposal 2 for 2018: Crowdsourcing parking availability
Spatial Information and Urban Analytics for Smart City Policy.
Computer Services Business challenge
Presentation transcript:

Detecting Terrorist Activities – “Making Sense”  EPSRC Sandpit on Detecting Terrorist Activities, May  Analysis and Visualisation of multi-modal data which is:  Partial  Unreliable  Contradictory  Interactive, visualisation-based “Decision Support Assistant”.  Imperial led, 10 partners, started February 2010.

“Making Sense” : Challenges  Collection  New developments in computer forensics, automatic gisting, data management and resource allocation.  Fusion and inference  Integration of data of variable sources, locating missing data, resolution of contradictions.  Analysis  Summarizing fused data, machine learning to identify relevant connections in the data.  Visualisation  From multiple perspectives both shared and operational;  Informed by the operational model(s) of data analysis, risk assessment and legal considerations.

“Making Sense” : The Team  Multi-disciplinary:  Psychology  Law  Operations research  Computational linguistics  Visual analytics  Machine learning and artificial intelligence  Human computer interaction  Computer science  Approximately 300 person months over 36 months (full economic cost: £2.6m).  Links with UK-RVAC activity.