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  "title": "RetrofitCostML",
  "contactPoint": {
    "fn": "Juan Fung",
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    "'RetrofitCostML' is a Python package for predicting seismic retrofit costs for buildings using pre-trained machine learning models. The tool provides pre-trained machine learning models to predict the cost of seismic retrofits for buildings.  Users can select any of the models to make predictions on their own data. The tool also provides example notebooks to illustrate an example workflow."
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      "title": "A predictive modeling approach to estimating seismic retrofit costs",
      "issued": "2020-02-02",
      "citation": "Fung, J. F., Sattar, S., Butry, D. T., & McCabe, S. L. (2020). A predictive modeling approach to estimating seismic retrofit costs. Earthquake Spectra, 36(2), 579\u00e2\u0080\u0093598. https://doi.org/10.1177/8755293019891716\n"
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      "title": "Estimating structural seismic retrofit costs for federal buildings",
      "issued": "2018-06",
      "citation": "Fung, J. F., Butry, D. T., Sattar, S., & McCabe, S. L. (2018). Estimating structural seismic retrofit costs for federal buildings. National Institute of Standards and Technology. https://doi.org/10.6028/nist.tn.1996\n"
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