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Nutkiewicz, A., Yang, Z. & Jain, R. Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow. Applied Energy 225 (2018) 1176-1189, (2018).
Nissen, M. & Levitt, R. E. Toward Simulation Models of Knowledge-Intensive Work Processes. (2002). at <https://purl.stanford.edu/wt972tk7354>
Nissen, M. & Levitt, R. E. Dynamic Models of Knowledge-Flow Dynamics. (2002). at <https://purl.stanford.edu/kp176bm2488>
Nishigaki, S. et al. Humanware, Human Error, and Hiyari-Hat: a Casual-chain of Effects and a Template of Unsafe Symptoms. (1992). at <https://purl.stanford.edu/zp585yn6972>
Nikkhoo, P., Fischer, M. & Rajagopal, R. Any time Data Thinking Prototype for Construction Project Managers. (2021). at <https://purl.stanford.edu/xh802nt5533>
Nielsen, R. et al. Integrated Construction Planning: A Problem Analysis. (1992). at <https://purl.stanford.edu/bz278hc4860>
Ng, F., Chiu, S. & Bjornsson, H. Quantifying Price Flexibility In Material Procurement as a Real Option. (2002). at <https://purl.stanford.edu/dx368jn4882>
Newman, N. (Tigger) & Winograd, T. Interpretive Workflow Mapping with the Language/Action Perspective. (1992). at <https://purl.stanford.edu/th292fs2667>
Nasrallah, W. F., Levitt, R. E. & Glynn, P. Interaction Value Analysis: When Structured Communication Benefits Organizations. (2000). at <https://purl.stanford.edu/gk935bz1089>
Nasrallah, W. F., Glynn, P. & Levitt, R. E. Diversity and Popularity in Organizations and Communities. (1998). at <https://purl.stanford.edu/rv038mr1033>