Publications & Presentations

See also my Google Scholar and ORCID profiles.

Journal Articles

King, R. A., Abowd, L., Broderick, C., Bradley, L. M., Czapanskiy, M., Farnisa, M. M., Ferrer, E., Galaz García, C., Gill, D., Greco, N. M., Jacquemont, J., Kadi, J. A., Kui, L., LeBuhn, G., Li, L., Meyer, A., Morse, M., Patrick, E., Shanny-Csik, S., Tucker, N. A. C., Wang, Z., & Fong, C. R. (2026). Ten simple rules for effective use of generative AI for code development in environmental science. PLOS Computational Biology, 22(8), e1014627. doi:10.1371/journal.pcbi.1014627

Software

Thiessen-Bock, R., Cohen, J., Jones, M., Walker, L., Nenuji, R., Kosobokova, A., Regetz, J., & Kadi, J. (2026). Viz-3dtiles: Cesium 3D Tiling for Geospatial Visualization (version 1.1.0). Arctic Data Center. doi:10.18739/A2W669B4Q

Datasets

Jones, B., Creel, R., Kanevskiy, M., Balter-Kennedy, A., Shackleton, S., Wilson, P., Kadi, J., & Brigham-Grette, J. (2025). Observations of Exotic Tundra Boulders on the Arctic Coastal Plain of Northern Alaska (1826 to 2025). Arctic Data Center. doi:10.18739/A2RN30935

Course Books

Jones, M. B., Clark, S. J., Regetz, J., Kadi, J., Nenuji, R., Greco, N., & Garcia, A. (2025). Scalable and Computationally Reproducible Approaches to Arctic Research. Arctic Data Center. doi:10.18739/A2NK3670P

Jones, M. B., Garcia, A., Greco, N., Kadi, J., & Regetz, J. (2025). Fundamentals in Data Management for Qualitative and Quantitative Arctic Research. Arctic Data Center & NCEAS Learning Hub. doi:10.18739/A2TM7232M

Clark, S. J., Jones, M. B., Garcia, A., Galaz García, C., Kadi, J., Chen, A., & Klope, M. (2024). Scalable and Computationally Reproducible Approaches to Arctic Research. Arctic Data Center. doi:10.18739/A2C53F33M

Clark, J., Garcia, A., Jones, M. B., Kadi, J., Klope, M., & Vargas Poulsen, C. (2024). Reproducible Approaches to Arctic Research Using R. Arctic Data Center & NCEAS Learning Hub. doi:10.18739/A2QF8JM4T

Garcia, A., Jones, M. B., Kadi, J., Klope, M., & Vargas Poulsen, C. (2024). Fundamentals in Data Management for Qualitative and Quantitative Arctic Research. Arctic Data Center & NCEAS Learning Hub. doi:10.18739/A2KP7TT0P

Posters & Presentations

Kadi, J. An Introduction to the Arctic Data Center. Utqiagvik Community Meeting, 2024. Oral presentation.

Zhang, L., Bellugi, D. G., Li, S., Kamat, A., Kadi, J., Moges, E., Gorski, G., Wani, O., & Larsen, L. A physics-informed machine learning model for streamflow prediction. AGU Fall Meeting, 2022. Poster. Abstract

Zhang, L., Bellugi, D., Kadi, J., Kamat, A., Gorski, G., & Larsen, L. Physics-informed LSTM for streamflow modeling using a dataset of intensively-monitored watersheds in the USA. AGU Fall Meeting, 2021. Poster. Abstract

Kadi, J., Ahmadalipour, A., & Evans, M. C. Meta-model Weather Forecasting: Integrating Public and Private Weather Forecasts. AGU Fall Meeting, 2020. Poster. Abstract

Kadi, J., & Chan, E. Exploring Language-Independent Phonetic Transcription. Berkeley Division of Data Science Research Keynote, 2019. Oral presentation.

Kadi, J. Enhanced Requirement Traceability Using Recurrent Neural Networks. NASA Research Poster Symposium, 2019. Poster.