Dates: June 26-29, 2017
Website: http://www.dataonthemind.org/2017-workshop
Schedule: http://www.dataonthemind.org/2017-workshop/schedule
Video stream: https://www.youtube.com/playlist?list=PLKW2Azk23ZtSOUnLafEn0W1FEf-Rw-8pi
Big data and naturally occurring datasets (NODS) are increasingly of interest to cognitive scientists and psychologists. With the proper tools and mindset, these data can provide compelling evidence of human behavioral, cognitive, and social process in natural settings. Big data and NODS present an unprecedented opportunity to explore theory-driven questions -- questions rooted in theories developed in rigorous lab studies -- in real-word datasets. These naturalistic explorations can generate new ideas that can be further refined in follow-up lab studies, creating a virtuous cycle of theory development.
However, along with this unique opportunity comes unique challenges. Graduate students and postdoctoral researchers in cognitive science and psychology have often been trained to collect and handle data that are relatively small and that come from tightly controlled lab settings. Although early-career scientists have deep theoretical knowledge of their research areas that would be powerfully applied to big data and NODS, many lack experience dealing with the challenges posed by these messier (and often exponentially larger) datasets, including analysis selection, computational capacity, and data collection.
To help cognitive scientists and psychologists tackle these issues, Data on the Mind has been funded by the Estes Fund to create a 4-day workshop of hands-on introductions to topics that are essential for theory-driven research using big data and NODS. Each tutorial is taught by an expert in that area and will include real code and other exercises that will empower participants to immediately apply these techniques to their own research.
While we're no longer accepting applications for the in-person event, we are excited to announce that we will also be publicly broadcasting the event live via YouTube (at no cost). After the workshop, we'll be converting the broadcast into a series of online tutorials—all of which will also be posted for free on YouTube after the event. All workshop materials will also be made available for free to remote participants during the event and will be released publicly after the event.
For more, head over to our website: http://www.dataonthemind.org/2017-workshop/live-stream
Tune in using the YouTube channel for the Berkeley Institute for Data Science: https://www.youtube.com/playlist?list=PLKW2Azk23ZtSOUnLafEn0W1FEf-Rw-8pi
You'll need to complete our registration form (on our live stream website) to get access. (Please note that this process is not automated and must be approved by the workshop instructors. As a result, it may take some time before your registration is approved. We highly recommend that you register at least several hours before the workshop that you're interested in attending.)
Once you've registered, you should receive an email with your account information. You can log in on the JupyterHub server's website with your account information at this website: http://bit.ly/dotm-workshop
The first time that you access the server, you'll also need to pull the GitHub repository with the workshop materials:
- In the top right-hand corner of the main JupyterHub screen, click on the "New" drop-down menu.
- Select "Terminal" from the menu.
- When you're in the new tab with the terminal window, paste this into the command line:
git clone https://github.com/Data-on-the-Mind/2017-summer-workshop/ - Press enter.
- Wait for it to say
Checking connectivity... done. - Close the terminal tab.
That's it! Again, you'll only need to do these steps the first time you log in.
This workshop will rely on programming in both R and Python, and tutorials will assume that all participants will start out with at least a beginner's level of programming in both languages. All tutorials should be accessible to anyone with a beginner's level of programming in R and Python. Check out our list of tutorials here: http://www.dataonthemind.org/2017-workshop/schedule
Pleaes keep in mind that we will not be covering any introductions to basic programming in our workshop, so be sure to complete some basic R and/or Python tutorials before attending in person or remotely. We link to some free online basic programming tutorials here: http://www.dataonthemind.org/2017-workshop/introductions-r-and-python
Contact Alex Paxton at <paxton [dot] alexandra [at] berkeley [dot] edu>.
- Tom Griffiths (University of California, Berkeley)
- Alexandra Paxton (University of California, Berkeley)
- Michael C. Frank (Stanford University)
- Todd Gureckis (New York University)
We'd like to thank our funding partners who made this possible:
- The Estes Fund: http://www.psychonomic.org/page/estesfund
- D-Lab: http://dlab.berkeley.edu/
- Project Jupyter: http://jupyter.org/