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Page History
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The full schedule:
Day 1: Welcome! Understanding clinical research questions and reproducible science (July 5, 2021)
Day 2: Applied
ethicsEthics in
machine learning and mental healthMachine Learning and Mental Health (July 6, 2021)
Day 3: Fundamental
methodsMethods for
genomicGenomic and
single-cell transcriptome analysisSingle-Cell Transcriptome Analysis (July 7, 2021)
Day 4: Simulating Brain Microcircuit Activity and Signals in Mental Health (July 8, 2021)
Day 5: Whole-
brain modelling and neuroimaging connectomicsBrain Modelling and Neuroimaging Connectomics (July 9, 2021)
Day 6: Bayesian
modelsModels of
learningLearning and
integrationIntegration of
neuroimaging dataNeuroimaging Data (July 12, 2021)
Day 7: Digital
healthHealth and
population-based data resourcesPopulation-Based Data Resources (July 13, 2021)
Day 8: Integrative
research methodsResearch Methods and Final Panel Discussion (July 14, 2021)
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Anchor Day1 Day1
Day 1: Welcome! Understanding
Day1 | |
Day1 |
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Clinical Research Questions and Reproducible Science (July 5, 2021)
Instructors: Erin Dickie, Sean Hill, Victor Tang, Brett Jones
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Time (EST) | Session | |
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9:00-10:30 | Lecture 1: Welcome and Orientation | Watch on Crowdcast |
10:45-12:15 | Lecture 2: Problems and opportunities in the diagnosis and treatment of major depression | Watch on Crowdcast |
1:00-2:30pm | Workshop 1: Guiding principles for FAIR and open science | Watch on Crowdcast |
2:45-4:15pm | Workshop 2: Tools for Reproducible Science | Watch on Crowdcast |
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Anchor Day2 Day2
Day 2: Applied
Day2 | |
Day2 |
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Ethics in
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Machine Learning and Mental Health (July 6, 2021)
Instructors: Daniel Buchman, Marta Maslej & Laura Sikstrom
Time (EST) | Session | |
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9:00-10:30 | Lecture 1: Introduction to AI Ethics | Watch on Crowdcast |
10:45-12:15 | Lecture 2: Fairness and Health Equity | Watch on Crowdcast |
1:00-2:30pm | Workshop 1: Research Design, Data Collection, Model Construction and Validation | Watch on Crowdcast |
2:45-4:15pm | Workshop 2: Analysis, Interpretation and Knowledge Exchange and/or Translation | Watch on Crowdcast |
Anchor Day3 Day3
Day 3: Fundamental
Day3 | |
Day3 |
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Methods for
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Genomic and
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Single-Cell Transcriptome Analysis (July 7, 2021)
Instructors: Shreejoy Tripathy & Dan Felsky
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Time (EST) | Session | |
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9:00-10:30 | Lecture 1: Basics of Genotype, Central dogma, GWAS, and Polygenic Risk Scores | Watch on Crowdcast |
10:45-12:15 | Lecture 2: Transcriptomics at the single-cell and bulk level level | Watch on Crowdcast |
1:00-2:30pm | Workshop 1: Intro to transcriptomic data types, including single-cell and bulk RNAseq | Watch on Crowdcast |
2:45-4:15pm | Workshop 2: Explore cellular changes in major depression using bulk and single-cell RNAseq data | Watch on Crowdcast |
Anchor Day4 Day4
Day 4: Simulating Brain Microcircuit Activity and Signals in Mental Health (July 8, 2021)
Day4 | |
Day4 |
Instructors: Etay Hay & Frank Mazza
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Time (EST) | Session | |
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9:00-10:30 | Lecture 1: Simulating brain microcircuit activity in mental health | Watch on Crowdcast |
10:45-12:15 | Lecture 2: Simulating EEG from brain microcircuits in mental health | Watch on Crowdcast |
1:00-2:15pm | Workshop 1: Simulating and analyzing spiking from neurons and microcircuits | Watch on Crowdcast |
2:30-4:00pm | Workshop 2: Simulating and analyzing EEG signals from brain microcircuits | Watch on Crowdcast |
Anchor Day5 Day5
Day 5: Whole-Brain Modelling and Neuroimaging Connectomics (July 9, 2021)
Day5 | |
Day5 |
Instructors: Erin Dickie & John Griffiths
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Time (EST) | Session | |
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9:00-10:30 | Lecture 1: Introduction to neuroimaging connectomics | Watch on Crowdcast |
10:45-12:15 | Workshop 1: Calculating Neuroimaging Connectomes | Watch on Crowdcast |
1:00-2:30pm | Lecture 2: Intro to whole-brain modelling (Lecture) | Watch on Crowdcast |
2:45-4:15pm | Workshop 2: simulating whole-brain activity, EEG, evoked responses, brain stimulation | Watch on Crowdcast |
Anchor Day6 Day6
Day 6: Bayesian Models of Learning and Integration of Neuroimaging Data (July 12, 2021)
Day6 | |
Day6 |
Instructors: Andreea Diaconescu
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Time (EST) | Session | |
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9:00-10:30 | Lecture 1: Bayesian Models of Learning | Watch on Crowdcast |
10:45-12:15 | Turorial 1: Hierarchical Gaussian Filter and Simulating Learners | Watch on Crowdcast |
1:00-2:30pm | Lecture 2: Computational Modelling of EEG Data | Watch on Crowdcast |
2:45-4:15pm | Tutorial 2: Single-trial EEG Modelling | Watch on Crowdcast |
Anchor Day7 Day7
Day 7: Digital Health and Population-Based Data Resources (July 13, 2021)
Day7 | |
Day7 |
Instructors: Daniel Felsky, Abhi Pratap & Joanna Yu
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Time (EST) | Session | |
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9:00-10:30 | Lecture 1: Digital Health for Mental health | Watch on Crowdcast |
10:45-12:15 | Lecture 2: Population-based resources and the BrainHealth Databank | Watch on Crowdcast |
1:00-2:30pm | Workshop 1: accessing reproducible datasets from Synapse as part of integrated workflow | Watch on Crowdcast |
2:45-4:15pm | Workshop 2: Introduction to interactive methods | Watch on Crowdcast |
Anchor Day8 Day8
Day 8: Integrative
Day8 | |
Day8 |
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Research Methods and Final Panel Discussion (July 14, 2021)
Instructors: Daniel Felsky & Abhi Pratap + All Instructor Panel
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