Background and Scope
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The NLP4Science workshop invites submissions of papers that leverage NLP tools and methodologies for human-focused scientific modeling. As language is closely tied to human behavior, cognition, and communication, many researchers are turning to NLP to decode intricate patterns and gain meaningful insights into humanity. NLP tools and Large Language Models (LLMs) are reshaping research methodologies across a wide range of fields, including social science, psychology, psychiatry, psycholinguistics, health, neuroscience, finance, behavioral economics, political science, and more. This workshop provides an opportunity for researchers to focus on how NLP tools can be harnessed for scientific modeling and exploration. We offer a platform for exchanging knowledge, methodologies, findings, tools, and resources, fostering synergies across different scientific domains. The workshop aims to facilitate discussions that encompass shared scientific methodologies across various disciplines. Topics will include, but are not limited to: principles of NLP-driven human-centered scientific modeling, state-of-the-art methods for statistically robust evaluation of NLP models in science, experimental design, causal inference, and the development and application of model interpretation and causality-based methods for text models in science.

The workshop will be held as part of EMNLP in November 2024 in Miami, Florida.

===Important Dates===
Paper submission deadline: August 16, 2024
Notification of acceptance: September 5, 2024
Camera-ready papers due: October 3, 2024

===Submission Topics===
We will solicit novel papers, including, but not limited to the following topics:

- NLP and LLMs for scientific modeling in various fields
- Social science
- Psychology
- Psychiatry
- Psycholinguistics
- Health
- Neuroscience
- Finance
- Behavioral economics
- Political science

- Statistically robust evaluation of NLP models in science
- NLP Experimental design
- Causal inference
- Model Interpretability

===Submission Information===
We will be using the EMNLP Submission Guidelines for the workshop. Authors are invited to submit a full paper of up to 8 pages of content with unlimited pages for references. We also invite short papers of up to 4 pages of content, including unlimited pages for references. Final camera ready versions of accepted papers will be given an additional page of content to address reviewer comments.

Submit your work here: https://openreview.net/group?id=EMNLP/2024/Workshop/NLP4Science

===Contact Information===

- Workshop contact email address: nlp4science [at] gmail.com
- Workshop Twitter: @nlp4science

Read more:
https://sites.google.com/view/nlp4science/home