Generously Sponsored By:
Share your research to other brainhack attendees
Learn about current open science practices and data
Find exciting open science projects that you would like to contribute to
Meet researchers from a variety of backgrounds
Along with several open hacking sessions (i.e., working togehter on work together on open projects related to research in neuroscience), there will also be some tutorial sessions applicable to making open-science/research easier across diverse research interests (e.g., data-visualization, version-control of codes).
Mini-Brainhack UTD is part of Brainhack Global 2019, acting as a local event site that hosts a local Brainhack around the same time.
Tentative
| Time | Saturday, November 16 (Day 1) | Sunday, November 17 (Day 2) | ||
|---|---|---|---|---|
| 9:00am | Check-in | Mingle + Coffee | Mingle + Coffee | ||
| 9:30am |
Intro to Brainhack + Collaborating on GitHub |
Open Science Framework (OSF) + Download: Slides (PDF) |
||
| 10:00am | ||||
| 10:30am | Project Pitch (5 min each) | Open Hacking | ||
| 11:00am |
Git & Github Download: Slides (PDF) |
Teaming + Open Hacking |
||
| 11:30am | ||||
| 12:00pm | ||||
| 12:30pm |
Lunch (Will be be provided) |
|||
| 1:00pm | ||||
| 1:30pm |
Data Visualization: |
Open Hacking | ||
| 2:00pm | ||||
| 2:30pm | Break | |||
| 3:00pm | Project Recap + Re-teaming | Break | ||
| 3:30pm | Open Hacking |
Project Presentation: All teams |
||
| 4:00pm | ||||
| 4:30pm |
Wrap Up (Clean up and be out by 5p) |
|||
| 5:00pm | ||||
| 5:30pm |
Dinner + Social: LA Burger 2000 N Plano Rd, Ste 115 Richardson, TX 75082 |
|||
| 6:00pm | ||||
Ju-Chi Yu
Ju-Chi.Yu@utdallas.edu
Goal: Create chapter on PCA and CA, with their inference analysis
Description: The goal of this book is to provide a vignette about the basics and the advanced applications of multivariate analysis. We are hoping to use this book to provide researchers with guidence on applying multivariate techniques (to neuroimaging data). The current aim is to (1) start with simple toy examples to illustrate principal component analysis (PCA) and singular value decomposition (SVD), and also to (2) generate a template for other methods that we hope to include in the future.
Tools: R (bookdown), GitHub
GitHub:
https://github.com/juchiyu/MultivarBook.git
Ekarin Pongpipat
Ekarin.Pongpipat@utdallas.edu
Goal: Create a book on creating a more informative APA statement using bootstrap and permutation testing
Description: Our current book uses a bare minimum APA statement. However, we would prefer to not promote this and would prefer to promote a “Gold” standard APA statement. We believe that the APA statement should include adjusted R-squared as a measure of effect size, its confidence interval (CI), bootstraped CI of the estimates, and permuted p-values. Ideally, in the book, we would write a chapter on each boostrapping, permutation, and then a chapter on APA Gold Standard
Tools: R (bookdown), GitHub
GitHub:
https://github.com/epongpipat/boot-perm-apa
Matt Kmiecik
Matthew.Kmiecik@utdallas.edu
Goal: Explore applications of machine learning to electrophysiological data
Description: Two participant groups (controls vs. individuals with alcoholism) were shown images that were either identical or different while their scalp EEG was recorded. This brainhack project will explore ways to visualize event-related potentials (ERPs) and identify features within electrophysiological signals that differentiate how alcoholic from non-alcoholic individuals identify similarities and differences in their visual field.
Tools: R, GitHub, EEGLAB, MATLAB
GitHub:
https://github.com/mkmiecik14/ml-eeg
Have an interesting open-science project of your own? Pitch it!
Last day to register is Saturday, November 9th
Open to all UTD BBS Doctoral Students and Post-Docs
800 W Campbell Rd., Richardson, TX 75080