Quote from sachinm on 19 November 2023, 5:48 pmSuggested Themes
- Optimism and Salience Bias
- ICE’s P13 Data & Digital Principles for Project Success
- Reference Class Forecasting (RFC)
- RICS New Rules of Measurement (NRM1, NRM2, NRM3)
- AACEI RP 40R-08: Contingency Estimating
- Extended Enterprise Complexity
Suggested Case Studies
Major Infrastructure Learning Legacies:
- Major Projects Knowledge Hub
- Thameslink Learning Legacy
- London 2012 Learning Legacy
- Crossrail Learning Legacy
- HS2 Learning Legacy
Suggested Reading List
- Data-Driven Schedule Risk Forecasting for Construction Mega-Projects, V Hovhannisyan, P Zachares, A Mosca, C Ledezma, Y Grushka-Cockayne, AACE International Conference 2023
- On Forecasting Project Activity Durations with Neural Networks, P Zachares, V Hovhannisyan, C Ledezma, J Gante, A Mosca International Conference on Engineering Applications of Neural Networks
- A graph-based approach for unpacking construction sequence analysis to evaluate schedules, Y Hong, H Xie, V Hovhannisyan, I Brilakis Advanced Engineering Informatics 52, 101625
- Determining Construction Method Patterns to Automate and Optimise Scheduling–A Graph-based Approach, Y Hong, V Hovhannisyan, H Xie, I Brilakis, 2021 European Conference on Computing in Construction
- How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model, N Culakova, D Murphy, J Gante, C Ledezma, V Hovhannisyan, A Mosca Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pages 3499–3500, 2020.
- Network structure, complexity, and adaptation in water resource systems, Erik Porse & Jay Lund, Civil Engineering and Environmental Systems Volume 32, 2015 - Issue 1-2: Special Issue on Resilience.
- Perspective: organisations as complex systems, Christos Ellinas, Civil Engineering and Environmental Systems, Volume 35, 2018 - Issue 1-4: Organisations as Systems, Pages 1-5
- "Simulation-Based Acquisition: An Affordable Mechanism for Fielding Complex Technologies," Dr. Patricia Sanders, Program Management, September - October 1997, pp. 72-77.
- "Modeling the Management of Systems Engineering Projects," Daniel Spencer and Shaun Wilson, Aerospace Concepts, DTSO-GD-0734, Proceedings of the 2012 Model-Based Systems Engineering Symposium, 27-28 November 2012.
- "Estimating Models for Program Management," Norman Womer and Jeff Camm, Final Technical Reports, N00014-00-1-0280, University of Mississippi, 2003.
- "Application of Model-Based Systems Engineering Methods to Development of Combat System Architectures," John M.Greenn, 6th Annual Acquisition Research Symposium of the Naval Post Graduate School: Volume 1: Defense Acquisition in Transition, May 13-14, 2009.
- "Prediction of Project Performance - Development of prediction model for predicting future performance of an OG&C project in EPC environment,” Naresh Kaushik, Thesis Report, Delft University.
- "The Prediction of Success in Project Management – Predictive Project Analytics," Jochen Fauser, Markus Schmidthuysen, and Benjamin Scheffold, BDU
- "A Predictive Analytics Approach to Project Management: Reducing Project Failures in Web & Software Development Projects," Tazeen Fatima, Int'l Conf. Data Mining | DMIN'17
- "Predicting Project Success in Construction Using an Evolutionary Gaussian Process Inference Model," Min-Yuan Cheng, Chin-Chi Haung, Andreas Frankie Van Roy, Journal of Civil Engineering and Management, January 2014.
- "Modeling and Simulation of Project Management through the PMBOK Standard Using Complex Networks," Luz Stell Cardona-Meza and Gerard Olivar-Tost, Complexity Volume 2017.
- "A review of analytical models, approaches and decision support tools in project monitoring and control," Oncu Hazir, International Journal of Project Management, September 2014, 33(4)
Suggested Themes
Suggested Case Studies
Major Infrastructure Learning Legacies:
Suggested Reading List
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