Now accepting applications for:

EMCL8: Open Science & Transparency Methods Workshop
sisu.ut.ee/emcl8tartu/ava…

Focus: incorporate #OpenScience & #RegisteredReports into workflow

Faculty include:
@NeilLewisJr
@dagmardivjak
@Research_Tim
@MariannaBolog
@GernsbacherLAB

Pls Rtwt
Purpose: to provide research methods training in a hands-on, collaborative setting to researchers from different methodological backgrounds, i.e. linguists, psychologists, theorists, experimentalists, corpus linguists, etc.
Topics to be covered in a hand-on context include:

- Deciding on a research topic

- Transforming the research topic into a research question

- Developing experimental hypotheses

- Designing an experiment to test hypotheses

- Making clear predictions based on the design
- Data collection

- Transparent statistical analysis and interpretation

- Presentation of findings to an audience

- The use of Open Notebooks

- The value of pre-registration and predictive science
- How to pre-register and how to do a Registered Report

- How to engage in open/transparent science

- The use of the tools available to facilitate open science and research transparency, i.e. OSF, etc.
This year’s workshop will focus on Open Science and Transparency Methods in language research, broadly construed. Participants will learn how to incorporate open science practice and research transparency into their workflow with a focus on the preparation of a Registered Report.
Intended audience: Researchers who study language and whose work is influenced by language. No prior experimental or corpus training is required. Participants can be at different early stages in their careers, i.e. graduate students/post-grads, post-docs, junior faculty, etc.
The complete list of mini-labs: (5 tweets in this thread) for EMCL8
sisu.ut.ee/emcl8tartu/

Mini-lab Üks

Lena M. Blott, @LenaMBlott
jennirodd.com/people/lena-bl…

Jane Klavan, @JaneKlavan
sisu.ut.ee/janeklavan
Mini-lab Kaks

Remi Gau, @RemiGau
remi-gau.github.io

Michele Feist
ucs.louisiana.edu/~mif8232/
Mini-lab Viis

Monica Gonzalez-Marquez, @aeryn_thrace researchgate.net/profile/Monica…

Virve-Anneli Vihman
vavihman.wordpress.com
#Transparency when applying to:

EMCL8: Open Science & Transparency Methods Workshop

We only have 45 seats and we want to make sure that everyone who wants to come gets a fair shot. For us this means evaluating applicants strictly on their professional qualifications. Therefore>
The application has these criteria:

1. An as anonymous as possible C.V.

No personal/identifying information is allowed.
2. You are not allowed to request to work in the lab of your supervisor, should they be teaching.
There are no letters of recommendation. Why? Because they're pointless, for the most part, and can bias selectors in various ways.

Still have doubts? Read this:

statmodeling.stat.columbia.edu/2019/01/24/rem…
Then you need to answer these questions. They're all to help Mini-lab leader evaluate how well you might fit into their Mini-lab.
The last question is

6. A list of the skills you bring, i.e. Good writing skills, organisational skills, protocol design, python, R, video editing, etc.

Because we need to know what skills you bring in contrast to those you'll learning.
We also ask that you not contact the mini-lab leaders about your application at any time before selections have been made. Doing so will get your application thrown out.

Why? Having a rapport with a mini-lab leader would be unfair to the other applicants.
The mini-lab leaders are asked to follow these guidelines when making their selections:
Finally, we're very protective of your learning experience. Because of this, no one, and we mean not a soul!, will be allowed to join or observe any of the mini-labs, unless they're EMCL8 staff. IOW, no intellectual tourists.
Let us know what your questions are, and we'll be happy to answer them.

Looking forward to receiving your applications!
@NeilLewisJr Is there anything else we can do with the application process to avoid bias?
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