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| 8:30 – 9:00am | Overview Talk: Intro to AI in Seismology (Marine Denolle) | Research Talk: [Detecting LFEs with a CNN in Cascadia](./slides/lfe_cascadia.pdf) (Amanda Thomas) | Research Talk: QC Part II (Nate Stevens) |
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| 9:00 – 10:30am | Research Talk: AI-ready Data Set for the Pacific Northwest (Yiyu Ni) | Lecture: [Training a Graph Network](./slides/gnn_introduction.pdf) (Loic Bachelot) | Research Talk: Catalog Building in the age of AI (Felix Waldhauser) |
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| 9:00 – 10:30am | Research Talk: [AI-ready Data Set for the Pacific Northwest](https://cascadiaquakes.github.io/2025_ML_TSC/notebooks/niyiyu/curated_pnw_dataset_seisbench.html) (Yiyu Ni) | Lecture: [Training a Graph Network](./slides/gnn_introduction.pdf) (Loic Bachelot) | Research Talk: Catalog Building in the age of AI (Felix Waldhauser) |
| 11:00 – 12:30pm | Lecture: Training a Phase Picker (Loïc Bachelot) | Research talk: [Intro to Association](./slides/association.pdf) (Ian McBrearty) | Hackathon: Event Relocations with HypoDD (Felix Waldhauser) |
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| 11:00 – 12:30pm | Lecture: [Training a Phase Picker](https://cascadiaquakes.github.io/2025_ML_TSC/notebooks/Loic/UNet/make_unet_annotated.html) (Loïc Bachelot) | Research talk: [Intro to Association](./slides/association.pdf) (Ian McBrearty) | Hackathon: Event Relocations with HypoDD (Felix Waldhauser) |
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| 12:30 – 1:30pm | Lunch | Lunch | Lunch |
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| 1:30 – 2:30pm | Lecture: Training a Phase Picker v2 (Loïc Bachelot) | Research Talk: Multi-Geohazard Event Discrimination (Akash Kharita) | Participant Lightening Talks and Wrap up |
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| 2:30 – 3:00pm | Lecture: Evaluating Model Performance (Amanda Thomas) | Lecture: Quality Control and Data Wrangling (Nate Stevens) ||
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| 3:00 – 5:00pm | Hackathon: Detect and Pick on continuous Data (Amanda Thomas) | Hackathon: Quality Control Metrics (Nate Stevens) ||
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| 1:30 – 2:30pm | Lecture: [More on training a Phase Picker](https://cascadiaquakes.github.io/2025_ML_TSC/notebooks/Loic/UNet/make_unet_annotated.html) (Loïc Bachelot) | Research Talk: Multi-Geohazard Event Discrimination (Akash Kharita) | Participant Lightening Talks and Wrap up |
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| 2:30 – 3:00pm | Lecture: [Evaluating Model Performance](https://cascadiaquakes.github.io/2025_ML_TSC/notebooks/Amanda/unet_performance_metrics.html) (Amanda Thomas) | Lecture: Quality Control and Data Wrangling (Nate Stevens) ||
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| 3:00 – 5:00pm | Hackathon: [Detect and Pick on continuous Data](https://cascadiaquakes.github.io/2025_ML_TSC/notebooks/Amanda/apply_unet.html), [Seisbench](https://cascadiaquakes.github.io/2025_ML_TSC/notebooks/Amanda/seisbench.html), [Pick Database](https://cascadiaquakes.github.io/2025_ML_TSC/notebooks/Amanda/pickdb.html) (Amanda Thomas) | Hackathon: Quality Control Metrics (Nate Stevens) ||
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