Publications

Emily Hadley (2022). Prioritizing Policies for Furthering Responsible Artificial Intelligence in the United States. 2022 IEEE International Conference on Big Data (Big Data).

Alexander Preiss, Emily Hadley, Kasey Jones, Marie C. D. Stoner, Caroline Kery, Peter Baumgartner, Georgiy Bobashev, Jessica Tenenbaum, Charles Carter, Kimberly Clement, Sarah Rhea (2022). Incorporation of near-real-time hospital occupancy data to improve hospitalization forecast accuracy during the COVID-19 pandemic. Infectious Disease Modelling.

Emily Hadley, Sarah Rhea, Kasey Jones, Lei Li, Marie Stoner, Georgiy Bobashev (2022). Enhancing the prediction of hospitalization from a COVID-19 agent-based model: A Bayesian method for model parameter estimation. PLOS ONE.

Emily Hadle (2019). An example preprint / working paper.

Rob Chew, Michael Wenger, Caroline Kery, Jason Nance, Keith Richards, Emily Hadley, Peter Baumgartner (2019). SMART: An Open Source Data Labeling Platform for Supervised Learning. Journal of Machine Learning Research.

Emily Hadle, Robert Ford (2015). An example journal article. Journal of Source Themes, 1(1).

Emily Hadle, Robert Ford (2013). An example conference paper. In ICW.