This is an edited selection of talks.

• Monica G. Bobra, “Fireside Chat: New Possibilities in Earth Science to Action through State Partnerships.” NASA Jet Propulsion Laboratory, Pasadena, CA, July 2026.


• Monica G. Bobra, “Developing trustworthy environmental monitoring data at the State of California.” Natural Capital Symposium. Stanford University, Stanford, CA, July 2026.


• Monica G. Bobra, “Using Data to Serve Millions: Government data scientists share insights at UC Berkeley panel.” 2026 National Workshop on Data Science Education. UC Berkeley, Berkeley, CA, June 2026.


• Monica G. Bobra, “An Open Approach to Data Science at the State of California with Monica Bobra.” Berkeley Institute of Data Science. UC Berkeley, Berkeley, CA, November 2025.


• Monica G. Bobra, “An Open Approach to Data Science at the State of California.” Workshop: Building an Open-Science Community. Stanford University, Stanford, CA, April 2025.


• Monica G. Bobra, “An Ethical Approach to Data Science at the State of California.” California Natural Resources Agency / Department of Water Resources 2024 Environmental Sciences Workshop, California Natural Resources Agency Headquarters, Sacramento, CA, November 2024.


• Monica G. Bobra and Dan Wang, “Forecasting Community Water System Outages.” Science Understanding through Data Science, Caltech, Pasadena, CA, August 2024.


• Monica G. Bobra, “A Review of Solar Flare Prediction Using a Modern Scientific Workflow.” Indian Institute of Astrophysics Golden Jubilee Conference Series: Advances in Observations and Modelling of Solar Magnetism and Variability, Virtual Conference, March 2021.


• Monica G. Bobra, “Machine Learning in Heliophysics.” The National Academy of Sciences Space Weather Operations and Research Infrastructure Workshop, Virtual Workshop, September 2020.


• Monica G. Bobra, “Forecasting Solar Flares.” Scientific Computing with Python (SciPy), Virtual Conference, July 2020.


• Monica G. Bobra, “SunPy: Status of the Project and v1.0 Core Package.” Scientific Computing with Python (SciPy), Virtual Conference, July 2020.


• Monica G. Bobra, “An Overview of Solar Flare Prediction Using Machine Learning Techniques.” Machine Learning in Heliophysics, Royal Tropical Institute, Amsterdam, Netherlands, September 2019.


• Monica G. Bobra, “Predicting Solar Flares Using Machine Learning Methods.” Python in Astronomy, Flatiron Institute, New York, NY, May 2018.


• Monica G. Bobra, “Predicting Solar Activity Using Machine Learning Methods.” AGU Fall Meeting, New Orleans, LA, December 2017.


• Monica G. Bobra, “Machine Learning in Solar and Space Physics.” The National Academy of Sciences Space Studies Board Fall Meeting, Irvine, CA, November 2017.


• Monica G. Bobra, “Solar Flare Prediction.” Lorentz Center Workshop: Space-Weather – A Multi-Disciplinary Approach. University of Leiden, Leiden, Netherlands, September 2017.


• Monica G. Bobra, “Machine Learning in Practice: Solar Flare Prediction.” NASA Frontier Development Laboratory’s Artificial Intelligence Deep-Dive Workshop, NVIDIA Corporation, Santa Clara, CA, June 2017.


• Monica G. Bobra, “Machine Learning and Understanding Our Sun.” The National Academy of Sciences Symposium on America’s Future in Civil Space, Washington, D.C., May 2017.


• Monica G. Bobra, “Solar Flare Prediction.” CCMC-LWS Working Meeting: Assessing Space Weather Understanding and Applications, Cape Canaveral, FL, April 2017.


• Monica G. Bobra, “Solar and CME Prediction: 3 Ways.” Flare Prediction Workshop, International Space Science Institute, Bern, Switzerland, October 2016.


• Monica G. Bobra, “Studying Solar Flares with the Solar Dynamics Observatory.” Southwest Research Institute, San Antonio, TX, April 2016.


• Monica G. Bobra, “Solar Flare Prediction with Machine Learning Algorithms.” UC Berkeley, Berkeley, CA, March 2016.


• Monica G. Bobra, “Space-Weather HMI Active Region Patches (SHARPs).” Forecasts and Warnings of Extreme Solar Storms Workshop, Lund University, Lund, Sweden, May 2015.


• Monica G. Bobra, “Solar Flare Prediction Using SDO/HMI Vector Magnetograms with Machine Learning Algorithms.” Lockheed Martin Solar and Astrophysics Laboratory, Palo Alto, CA, March 2015.