Aldana, A., K. Hay, C. LeGrand, P. Schmidt, and M. Bereni. April 2021. “O18:Exploring the Use of Artificial Intelligence (AI) Solutions to Improve the Accuracy of Project Delivery Forecasts”. National Asset Centre of Excellence, Brisbane, Australia. https://www.nacoe.com.au/wp-content/uploads/2021/04/015402-NACOE-O18_AI-application-for-project-forecast.pdf.
Bamberger, M., E. Raimondo, and J. Vaessen. 2016. Dealing with Complexity in Development Evaluation: A Practical Approach. Thousand Oaks, CA: Sage Publications.
Black, R. E., C. G. Victora, S. P. Walker, Z. A. Bhutta, P. Christian, M. de Onis, M. Ezzati, S. Grantham McGegor, J. Katz, R. Martorell, R. Uauy, and the Maternal and Child Nutrition Study Group. 2013. “Maternal and Child Undernutrition and Overweight in Low-Income and Middle-Income Countries.” The Lancet 382 (9890): 427-51. http://dx.doi. org/10.1016/S0140-6736(13)60937-X
Bravo, L., A. Hagh, Y. Xiang, and J. Vaessen. 2021. “Machine Learning in Evaluation Synthesis—Lessons from Private-Sector Evaluation in the World Bank Group.” In Evaluation of International Development Interventions: An Overview of Approaches and Methods, edited by J. Vaessen, S. Lemire, and B. Befani. Independent Evaluation Group. Washington, DC: World Bank.
Chapman, Paul, and Cuong Quang. 13 February 2021. “Major Project Risk Management: Reconciling Complexity During Delivery with the Inside View in Planning”. Engineering Project Organization Journal 10, no. 1. https://doi.org/10.25219/epoj.2021.00104.
Korenblum, J. 2017. “Three Ways Artificial Intelligence Can Reshape Monitoring and Evaluation.” ICTworks. https://www.ictworks.org/artificial-intelligence-can-reshape-monitoring-evaluation/.
Ika, Lavagnon A., and Donnelly, Jennifer. ‘Success Conditions for International Development Capacity Building Projects’. January 2017. International Journal of Project Management 35 (1): 44–63. https://doi.org/10.1016/j.ijproman.2016.10.005.
Ika, Lavagnon A., Diallo, Amadou, and Thuillier, Denis. January 2021. ‘Critical Success Factors for World Bank Projects: An Empirical Investigation’. International Journal of Project Management 30(1): 105–16. https://doi.org/10.1016/j.ijproman.2011.03.005.
McKenzie, D. 2018. “How Can Machine Learning and Artificial Intelligence Be Used in Development Interventions and Impact Evaluations?” Development Impact (World Bank Blogs), March 5, 2018. https://blogs.worldbank.org/impactevaluations/how-can-machine-learning-and-artificial-intelligence-be-used-development-interventions-and-impact.
Sai-hung, Ir Lam, and Bent Flyvbjerg. 2020. “AI in Action: How the Hong Kong Development Bureau Built the Project Surveillance System—An Early Warning System for Public Works Projects.” White Paper, Hong Kong Development Bureau and Oxford Global Projects, Hong Kong and Oxford.
UNICEF. 1990. “Strategy for Improved Nutrition of Children and Women in Developing Countries.” New York: UNICEF.
Whye Teh, Yee, Michael I. Jordan, Matthew J. Beal, and David M. Blei. 2006. “Hierarchical Dirichlet Processes.” Journal of the American Statistical Association 101 (476): 1566–1581.
World Bank. 2021. The World Bank’s Support to Reducing Child Undernutrition. Independent Evaluation Group. Washington, DC: World Bank.