Brian Libgober, Connor T. Jerzak. Linking Datasets on Organizations Using Half-a-Billion Open-Collaborated Records. ArXiv Preprint, 2023.
[Overview][Data][Code]
@article{libgober2023linking,
title={Linking Datasets on Organizations Using Half-a-Billion Open-Collaborated Records},
author={Libgober, Brian and Connor T. Jerzak},
journal={ArXiv Preprint},
year={2023},
pages={},
publisher={}
}–
Adel Daoud, Connor T. Jerzak, Richard Johansson. Conceptualizing Treatment Leakage in Text-based Causal Inference. Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): 5638-5645, 2022.
[Overview]
@article{daoud2022conceptualizing,
title={Conceptualizing Treatment Leakage in Text-based Causal Inference},
author={Daoud, Adel and Connor T. Jerzak and Richard Johansson},
journal={Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)},
year={2022},
volume={},
pages={5638--5645},
publisher={Association for Computational Linguistics},
doi={10.18653/v1/2022.naacl-main.413}
}–
Connor T. Jerzak, Gary King, Anton Strezhnev. An Improved Method of Automated Nonparametric Content Analysis for Social Science. Political Analysis, 31(1): 42-58, 2023.
[Overview][Data][Code]
@article{jerzak2023improved,
title={An Improved Method of Automated Nonparametric Content Analysis for Social Science},
author={Jerzak, Connor T. and Gary King and Anton Strezhnev},
journal={Political Analysis},
year={2023},
volume={31},
number={1},
pages={42-58},
publisher={}
}–