Brainhack Dallas 2019

Brainhack Dallas 2019

(Mini-Brainhack UTD)

Saturday, November 16 - Sunday, November 17

What is a Brainhack?

The goal of a Brainhack is to:

#1: Share

Share your research to other brainhack attendees

#2: Learn

Learn about current open science practices and data

#3: Get Involved

Find exciting open science projects that you would like to contribute to

#4: Be Social

Meet researchers from a variety of backgrounds

What happens in a Brainhack event?

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.



Time Saturday, November 16 (Day 1) Sunday, November 17 (Day 2)
9:00am Check-in | Mingle + Coffee Mingle + Coffee

Intro to Brainhack +

Collaborating on GitHub

Open Science Framework (OSF) +
Brain Imaging Data Structure (BIDS): 

Kendra Seaman

Download: Slides (PDF)

10:30am Project Pitch (5 min each) Open Hacking

Git & Github

Micaela Chan

Download: Slides (PDF)

Teaming +

Open Hacking

12:30pm Lunch
(Will be be provided)

Data Visualization:

Matt Kmiecik

Matt recommends these two books by Tufte: 1, 2

Open Hacking
2:30pm Break
3:00pm Project Recap + Re-teaming Break
3:30pm Open Hacking

Project Presentation:

All teams

4:30pm Wrap Up
(Clean up and be out by 5p)
5:30pm Dinner + Social:
LA Burger
2000 N Plano Rd, Ste 115
Richardson, TX 75082


#1: Multivariate Bookdown

Ju-Chi Yu

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


#2: Bootstrap, Permutation, APA Statement Bookdown

Ekarin Pongpipat

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


#3: EEG Machine Learning

Matt Kmiecik

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


Have an interesting open-science project of your own? Pitch it!

Registration is Closed

Last day to register is Saturday, November 9th

Open to all UTD BBS Doctoral Students and Post-Docs


The University of Texas at Dallas

800 W Campbell Rd., Richardson, TX 75080

GR 4.208

GR 4.209

Note: Free parking is available in Green lots and spaces.

Generously Sponsored By: