schedule.json

[
  {
    "id": "2026-10-09-computational-phenotypes",
    "date": "2026-09-25",
    "semester": "Fall 2026",
    "type": "article",
    "typeLabel": "Article discussion",
    "title": "Computational phenotypes: traits, states, or moving targets?",
    "description": "A discussion of individual differences, repeated measurement, parameter stability, and what makes a useful computational phenotype.",
    "presenter": "Discussion leader to be announced",
    "readings": [
      {
        "label": "Schurr et al. (2024)",
        "url": "https://doi.org/10.1038/s41562-024-01814-x",
        "title": "Dynamic computational phenotyping of human cognition",
        "authors": "Schurr, Reznik, Hillman, Bhui, et al.",
        "journal": "Nature Human Behaviour",
        "year": 2024
      }
    ]
  },
  {
    "id": "2026-09-11-community-kickoff",
    "date": "2026-10-09",
    "semester": "Fall 2026",
    "type": "community",
    "typeLabel": "Community planning meeting",
    "title": "What should EDM Megalab be?",
    "description": "Meet the core organizing labs and colleagues from across Emory; map shared interests, methods, datasets, and opportunities; and help shape priorities for the series. Planning takes place at our second meeting so all six core labs can participate.",
    "presenter": "Core lab organizers",
    "readings": []
  },
  {
    "id": "2026-10-23-fmri-preprocessing",
    "date": "2026-10-23",
    "semester": "Fall 2026",
    "type": "methods",
    "typeLabel": "Methods workshop",
    "title": "Modern fMRI preprocessing: what choices actually matter?",
    "description": "Compare pipelines used across Emory labs: distortion and motion correction, nuisance regression, censoring, global signal, surface versus volume, and QC.",
    "presenter": "Workshop lead to be announced",
    "readings": []
  },
  {
    "id": "2026-11-06-ai-computational-psychiatry",
    "date": "2026-11-06",
    "semester": "Fall 2026",
    "type": "current-topic",
    "typeLabel": "Current topic / workshop",
    "title": "AI in computational psychiatry and decision neuroscience",
    "description": "Concrete use cases in coding, modeling, literature synthesis, analysis validation, writing, privacy, reproducibility, and emerging failure modes.",
    "presenter": "Facilitators to be announced",
    "readings": []
  },
  {
    "id": "2026-11-20-wip-2",
    "date": "2026-11-20",
    "semester": "Fall 2026",
    "type": "wip",
    "typeLabel": "Works in progress",
    "title": "WIP Session 1",
    "description": "An analysis or modeling problem where a larger pool of expertise can materially change the project.",
    "presenter": "Presenter to be announced",
    "readings": []
  },
  {
    "id": "2026-12-04-decision-neuroscience",
    "date": "2026-12-04",
    "semester": "Fall 2026",
    "type": "article",
    "typeLabel": "Article + year-end discussion",
    "title": "Sources of decision variability: latent states, noise, and mechanism",
    "description": "Variability, latent states, and mechanism—plus a springboard for choosing EDM Megalab’s spring priorities.",
    "presenter": "Discussion leader to be announced",
    "readings": [
      {
        "label": "Duffy et al. (2025)",
        "url": "https://doi.org/10.1038/s41583-025-00916-3",
        "title": "Disentangling sources of variability in decision-making",
        "authors": "Duffy, Bellgrove, Murphy, et al.",
        "journal": "Nature Reviews Neuroscience",
        "year": 2025
      }
    ]
  },
  {
    "id": "2027-01-22-wip-3",
    "date": "2027-01-22",
    "semester": "Spring 2027",
    "type": "wip",
    "typeLabel": "Works in progress",
    "title": "WIP Session 2 / Spring kickoff",
    "description": "One substantial project or two shorter projects, followed by a brief reset of priorities for the semester.",
    "presenter": "Presenter to be announced",
    "readings": []
  },
  {
    "id": "2027-02-05-neural-inference",
    "date": "2027-02-05",
    "semester": "Spring 2027",
    "type": "methods",
    "typeLabel": "Methods workshop",
    "title": "Fitting computational models with neural and amortized inference",
    "description": "Parameter recovery, likelihood approximation, simulation-based inference, diagnostics, and when these methods beat MCMC or optimization.",
    "presenter": "Workshop lead to be announced",
    "readings": [
      {
        "label": "Rmus et al. (2024)",
        "url": "https://doi.org/10.1371/journal.pcbi.1012119"
      },
      {
        "label": "Boelts et al. (2022/2023)",
        "url": "https://doi.org/10.7554/eLife.77220"
      }
    ]
  },
  {
    "id": "2027-02-19-choice-variability",
    "date": "2027-02-19",
    "semester": "Spring 2027",
    "type": "article",
    "typeLabel": "Article discussion",
    "title": "Compulsivity, choice variability, and computational phenotypes",
    "description": "Separate variability in learning from variability in choice, and ask what would make a computational phenotype clinically meaningful.",
    "presenter": "Discussion leader to be announced",
    "readings": [
      {
        "label": "Lee, Rouault & Wyart (2025)",
        "url": "https://doi.org/10.1038/s44220-024-00364-5",
        "title": "Compulsivity is linked to suboptimal choice variability but unaltered reinforcement learning under uncertainty",
        "authors": "Lee, Rouault & Wyart",
        "journal": "Nature Mental Health",
        "year": 2025
      }
    ]
  },
  {
    "id": "2027-03-05-wip-4",
    "date": "2027-03-05",
    "semester": "Spring 2027",
    "type": "wip",
    "typeLabel": "Works in progress",
    "title": "WIP Session 3",
    "description": "A project crossing clinical and basic decision science, presented early enough for the conversation to matter.",
    "presenter": "Presenter to be announced",
    "readings": []
  },
  {
    "id": "2027-03-19-state-representation",
    "date": "2027-03-19",
    "semester": "Spring 2027",
    "type": "article",
    "typeLabel": "Article discussion",
    "title": "Representations, schemas, and state inference in reinforcement learning",
    "description": "Move beyond scalar learning parameters toward the representations over which learning operates.",
    "presenter": "Discussion leader to be announced",
    "readings": [
      {
        "label": "Bein & Niv (2025)",
        "url": "https://doi.org/10.1038/s41583-024-00893-z",
        "title": "Schemas, reinforcement learning and the medial prefrontal cortex",
        "authors": "Bein & Niv",
        "journal": "Nature Reviews Neuroscience",
        "year": 2025
      }
    ]
  },
  {
    "id": "2027-04-02-foundation-models",
    "date": "2027-04-02",
    "semester": "Spring 2027",
    "type": "current-topic",
    "typeLabel": "Methods / current topic",
    "title": "Computational psychiatry in the era of foundation models",
    "description": "Mechanistic versus predictive models, construct validity, LLMs as tools or participants, interpretability, evaluation, and data governance.",
    "presenter": "Facilitators to be announced",
    "readings": []
  },
  {
    "id": "2027-04-16-wip-5-planning",
    "date": "2027-04-16",
    "semester": "Spring 2027",
    "type": "wip",
    "typeLabel": "Works in progress + planning",
    "title": "WIP Session 4 and 2027–28 planning",
    "description": "One WIP followed by a candid evaluation of the series and a conversation about next year’s priorities.",
    "presenter": "Presenter to be announced",
    "readings": []
  }
]