14. Sheehan, B., Humberg, C., Shannon, D., Fortmann, M. and Materne, S. (2022) 'Diversification and Solvency II: the capital effect of portfolio swaps on non-life insurers', The Geneva Papers on Risk and Insurance-Issues and Practice, 1-34. DOI: 10.1057/s41288-022-00269-3
13. Shannon, D. and Fountas, G. (2022) 'Amending the heston stochastic volatility model to forecast local motor vehicle crash rates: A case study of Washington, DC', Transportation Research Interdisciplinary Perspectives, 13, 100576. DOI: 10.1016/j.trip.2022.100576
12. O’Donnell, N., Shannon, D. and Sheehan, B. (2021) 'Immune or at-risk? Stock markets and the significance of the COVID-19 pandemic', Journal of Behavioral and Experimental Finance, 30, 100477. DOI: 10.1016/j.jbef.2021.100477
11. Shannon, D. and Fountas, G. (2021) 'Extending the Heston model to forecast motor vehicle collision rates', Accident Analysis & Prevention, 159, 106250. DOI: 10.1016/j.aap.2021.106250
10. Irini, F., Kia, A.N., Shannon, D., Jannusch, T., Murphy, F. and Sheehan, B. (2021) 'Associations between mobility patterns and COVID-19 deaths during the pandemic: A network structure and rank propagation modelling approach', Array, 11, 100075. DOI: 10.1016/j.array.2021.100075
9. Jannusch, T., David-Spickermann, F., Shannon, D., Ressel, J., Völler, M., Murphy, F., Furxhi, I., Cunneen, M. and Mullins, M. (2021) 'Surveillance and privacy–Beyond the panopticon. An exploration of 720-degree observation in level 3 and 4 vehicle automation', Technology in Society, 66, 101667. DOI: 10.1016/j.techsoc.2021.101667
8. Jannusch, T., Shannon, D., Völler, M., Murphy, F. and Mullins, M. (2021) 'Cars and distraction: How to address the limits of Driver Monitoring Systems and improve safety benefits using evidence from German young drivers', Technology in Society, 66, 101628. DOI: 10.1016/j.techsoc.2021.101628
7. Jannusch, T., Shannon, D., Völler, M., Murphy, F. and Mullins, M. (2021) 'Smartphone Use While Driving: An Investigation of Young Novice Driver (YND) Behaviour', Transportation research part F: traffic psychology and behaviour, 77, 209-220. DOI: 10.1016/j.trf.2020.12.013
6. Shannon, D., Jannusch, T., David–Spickermann, F., Mullins, M., Cunneen, M. and Murphy, F. (2021) 'Connected and autonomous vehicle injury loss events: Potential risk and actuarial considerations for primary insurers', Risk Management and Insurance Review, 24(1), 5-35. DOI: https://doi.org/10.1111/rmir.12168
5. Shannon, D., Murphy, F., Mullins, M. and Rizzi, L. (2020) 'Exploring the role of delta-V in influencing occupant injury severities–A mediation analysis approach to motor vehicle collisions', Accident Analysis & Prevention, 142, 105577. DOI: 10.1016/j.aap.2020.105577
4. Shannon, D., Rizzi, L., Murphy, F. and Mullins, M. (2020) 'Exploring the price of motor vehicle collisions–a compensation cost approach', Transportation Research Interdisciplinary Perspectives, 4, 100097. DOI: 10.1016/j.trip.2020.100097
3. Cunneen, M., Mullins, M., Murphy, F., Shannon, D., Furxhi, I. and Ryan, C. (2020) 'Autonomous vehicles and avoiding the trolley (dilemma): vehicle perception, classification, and the challenges of framing decision ethics', Cybernetics and Systems, 51(1), 59-80. DOI: 10.1080/01969722.2019.1660541
2. Shannon, D., Murphy, F., Mullins, M. and Eggert, J. (2018) 'Applying crash data to injury claims-an investigation of determinant factors in severe motor vehicle accidents', Accident Analysis & Prevention, 113, 244-256. DOI: 10.1016/j.aap.2018.01.037
1. Heep-Altiner, M., Mullins, M., Rohlfs, T. and Shannon, D. (2018) 'Application of the Data Model: Pillar Three' in Solvency II in the Insurance Industry Springer. DOI: 10.1007/978-3-319-77060-4_4
5. 2022 World Finance Conference, 1st August 2022, Turin, Italy
Topic: How do Equity Investors React to Green Bond Announcements? Exploring and Predicting Abnormal Returns using Artificial Neural Networks
4. 2nd Doctoral Academic Workshop, 6th December 2019, Sichuan University, Chengdu, China
Topic: Considering the Shifting Typology of Road Environment Risk across Vehicle Automation Levels – the Case of High Severity Incidents and the Implications for Motor Insurers
3. 5th SRA World Congress on Risk, 6th May 2019, Cape Town, South Africa
Topic: The Influence of Crash Velocity on the Severity of Road Traffic Accidents: A Multivariate Mediation Analysis
2. Innovate Ireland Research & Innovation Conference, 14th March 2018, Dublin, Ireland
Topic: Applying CIREN data – An Investigation of Determinant Factors in Severe Motor Vehicle Accidents
1. 26th SRA Europe Annual Conference, 19th June 2017, Lisbon, Portugal
Topic: Applying CIREN data – An Investigation of Determinant Factors in Severe Motor Vehicle Accidents
5. ‘Reducing Driver Risk using Technology-based Interventions’ (ActuRisk)
Funding Authority: European Commission
Call: H2020-MG-3.6a-2015 (Smart, Green And Integrated Transport)
Budgets: UL = €5,000, Total = €5,000
Role: Co-PI
4. The Impact Project 2021 (Impact)
Funding Authority: European Commission
Call: H2020-MG-3.6a-2015 (Smart, Green And Integrated Transport)
Budgets: UL = €5,000, Total = €5,000
Role: Co-PI
3. Versatile artificial intelligence investigative technologies for revealing online cross border financing activities of terrorism (Anti-FinTer)
Funding Authority: European Commission
Call: ISFP-2020-AG-TERFIN (Countering terrorist financing through emerging technologies)
Budgets: UL = €169,000, Total = €1,350,000
Role: Project Contributor
2. Cloud Large Scale Video Analysis (Cloud-LSVA)
Funding Authority: European Commission
Call: H2020-ICT-16-2015 (Big data Research)
Budgets: UL = €161,918.75, Total = €4,604,431.25
Role: Project Contributor
1. Vision Inspired Driver Assistance Systems (VI-DAS)
Funding Authority: European Commission
Call: H2020-MG-3.6a-2015 (Smart, Green And Integrated Transport)
Budgets: UL = €273,928.75, Total = € 6,225,246.25
Role: Project Contributor