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Please register at: HTTPS://APP.CERTAIN.COM/PROFILE/3248659

• The full schedule:

  • Day 1: Welcome! Understanding clinical research questions and reproducible science (July 5, 2021)

  • Day 2: Applied ethics in machine learning and mental health (July 6, 2021)

  • Day 3: Fundamental methods for genomic and single-cell transcriptome analysis (July 7, 2021)

  • Day 4:

    Brain microcircuit simulations of depression

     Simulating Brain Microcircuit Activity and Signals in Mental Health (July 8, 2021)

  • Day 5: Whole-brain modelling and neuroimaging connectomics (July 9, 2021)

  • Day 6: Bayesian models of learning and integration of neuroimaging data (July 12, 2021)

  • Day 7: Digital health and population-based data resources (July 13, 2021)

  • Day 8:  Integrative research methods and Final Panel Discussion (July 14, 2021)

Day 1: Welcome! Understanding clinical research questions and reproducible science (July 5, 2021)

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TA's: Sejal Patel, Kevin Kadak, Taha Morshedzadeh, Kevin Witczak

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• we will use our custom rstudio docker, available from dockerhub edickie/kcnischool-rstudio:latest click here for install instructions.

• Also grab Erin's reproducibility slides from here

Time (EST)	Session
9:00-10:30	Lecture 1: Welcome and Orientation	Watch on Crowdcast	10:30-10:45	Morning Break	Join us in gather.town
10:45-12:15	Lecture 2:  Problems and opportunities in the diagnosis and treatment of major depression	Watch on Crowdcast	12:15pm-1:00pm	Lunch Break	Join us in gather.town
1:00-2:30pm	Workshop 1: Guiding principles for FAIR and open science	Watch on Crowdcast
2: 30-2:45pm	Afternoon Break	Join us in gather.town	2:45-4:15pm	Workshop 2: Tools for Reproducible Science	Watch on Crowdcast
4:30-5:00pm	Daily Social Chat? / Q & A	Join us in gather.town

Day 2: Applied ethics in machine learning and mental health (July 6, 2021)

Instructors: Daniel Buchman, Marta Maslej & Laura Sikstrom

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• we will use our custom rstudio docker, available from dockerhub edickie/kcnischool-rstudio:latest click here for install instructions.

Time (EST)	Session
9:00-10:30	Lecture 1: Introduction to AI Ethics	Watch on Crowdcast
10:30- 10:45	Morning Break	Join us in gather.town	10:45-12:15	Lecture 2:  Fairness and Health Equity	Watch on Crowdcast
12:15pm-1:00pm	Lunch Break	Join us in gather.town
1:00-2:30pm	Workshop 1: Research Design, Data Collection, Model Construction and Validation	Watch on Crowdcast	2:30-2:45pm	Afternoon Break	Join us in gather.town
2:45-4:15pm	Workshop 2: Analysis, Interpretation and Knowledge Exchange and/or Translation	Watch on Crowdcast 4:30-5:00pm	Daily Social Chat? / Q & A	Join us in gather.town

Day 3: Fundamental methods for genomic and single-cell transcriptome analysis (July 7, 2021)

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TA's: Sonny Chen, Micaela Consens, Amin Kharaghani, Keon Arbabi

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Time (EST)	Session
9:00-10:30	Lecture 1: Basics of Genotype, Central dogma, GWAS, and Polygenic Risk Scores	Watch on Crowdcast
10: 30-10: 45	Morning Break	Join us in gather.town	10:45-12:15	Lecture 2:  Transcriptomics at the single-cell and bulk level level	Watch on Crowdcast	12:15pm-1:00pm	Lunch Break	Join us in gather.town
1:00-2:30pm	Workshop 1: Intro to transcriptomic data types, including single-cell and bulk RNAseq	Watch on Crowdcast	2:30-2:45pm	Afternoon Break	Join us in gather.town
2:45-4:15pm	Workshop 2: Explore cellular changes in major depression using bulk and single-cell RNAseq data	Watch on Crowdcast
4:30-5:00pm	Daily Social Chat? / Q & A	Join us in gather.town

Day 4: Simulating Brain Microcircuit

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Activity and Signals in Mental Health (July 8, 2021)

Instructors: Etay Hay & Frank Mazza

TA's TBA

Computing Environment: we will use our custom python/neurophysiology docker, available at dockerhub edickie/kcnischool-jupyter. go here for more info on setting up the environment

Day 5: Whole-Brain Modelling and Neuroimaging Connectomics (July 9, 2021)

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TA's Shreyas Harita, Jerrold Jeyachandra, Kevin Kadak

Computing Environment: we will use our custom python/neurophysiology docker, available at dockerhub edickie/kcnischool-jupyter. go here for more info on setting up the environment

Day 6: Bayesian Models of Learning and Integration of Neuroimaging Data (July 12, 2021)

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TA's: Colleen Charlton, Daniel Hauke, Peter Bedford, Povilas Karvelis

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• All students in the interactive stream should have been emailed a link to a temporary MATLAB license that can be used for this course. Contact KCNI.School@camh.ca with any questions.

• Additional setup instructions are available in the day5 folder

Time (EST)	Session
9:00-10:30	Lecture 1: Bayesian Models of Learning	Watch on Crowdcast
10:30- 10:45	Morning Break	Join us in gather.town	10:45-12:15	Turorial 1:  Hierarchical Gaussian Filter and Simulating Learners	Watch on Crowdcast	12:15pm-1:00pm	Lunch Break	Join us in gather.town
1:00-2:30pm	Lecture 2: Computational Modelling of EEG Data	Watch on Crowdcast
2:30- 2: 45pm	Afternoon Break	Join us in gather.town	2:45-4:15pm	Tutorial 2: Single-trial EEG Modelling	Watch on Crowdcast	4:30-5:00pm	Daily Social Chat? / Q & A	Join us in gather.town

Day 7: Digital Health and Population-Based Data Resources (July 13, 2021)

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TA's: Marta Maslej, Akshay Mohan, Grace Jacobs

Computing Environment: we will continue to use our custom rstudio docker, available from dockerhub edickie/kcnischool-rstudio:latest [click here for install instructions]

Day 8:  Integrative research methods and Final Panel Discussion (July 14, 2021)

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TA's: Mohamed Abdelhack, Marta Maslej

Computing Environment: we will continue to use our custom rstudio docker, available from dockerhub edickie/kcnischool-rstudio:latest [click here for install instructions]

2020 Summer School Overview