NLP4PI 2026Posted in

5th Workshop on NLP for Positive Impact co-located at EMNLP 2026

Dear

community!

We

are delighted to invite you for submission to the 5th Workshop on NLP

for

Positive Impact co-located at EMNLP 2026!

Workshop

website:

https://sites.google.com/view/nlp4positiveimpact

Call

for paper: https://sites.google.com/view/nlp4positiveimpact/call-for-papers-2026

Submission

methods:

OpenReview both direct

submissions and

ARR May Cycle commitment.

We

also accept non-archival

submissions.

Important

dates:

ARR

May Cycle Submission Due: May 25th, 2026

Direct

Submissions Due:

June 26th, 2026 via https://openreview.net/group?id=EMNLP/2026/Workshop/NLP4PI

ARR

Reviewed Submissions Commitment Due: July 26th, 2026 (tentative)

Notification

of Acceptance (both channels): August 15th, 2026

Camera-Ready

Papers Due: September 10th, 2026

Workshop

Date: October 24th-29th 2026 (co-located with EMNLP 2026)

All

deadlines are 11:59 PM (Anywhere on Earth)

Workshop

Summary

The

increasing adoption of language-oriented AI systems offers unprecedented opportunities for positive societal impact. NLP technologies have matured to the point where they can meaningfully contribute to addressing global challenges like poverty, hunger, healthcare,

education, inequality, COVID-19, and climate change, aligning with the UN sustainability goals.

This

workshop aims to advance innovative NLP research that benefits society, emphasizing responsible methods and impactful applications. We welcome submissions in areas including, but not limited to:

Grounding

NLP in Real-World Impact: Beyond improving model performance, how can NLP systems be directly tied to social outcomes? This could include case studies of real-world deployments or strategies for better deployment and maintenance practices.

Underexplored

Applications: While NLP for healthcare and mental well-being is well-established, we encourage research tackling overlooked areas such as poverty, hunger, energy, and climate change.

Interdisciplinary

Collaborations: We highly value work that integrates insights from other fields, such as social science, political science, economics, philanthropy, and HCI, and we encourage submissions of case studies or examples that highlight such collaborations.

Special

Theme: Measuring the Societal Impact of AI and NLP

This

year we would like to find an answer to the question: How

can we measure the social impact of AI and NLP?

With even the bigger raise of opportunities of AI and language technologies, we would like to understand how it influences society and if in positive manners. Position, philosophical-grounded, and new evaluation framework suggestion papers are very much welcomed

to enhance the discussion!

Submission

Types

We

encourage diverse contributions, including:

Identifying

social needs and affected demographics.

Proposing

new tasks or directions through position papers.

Conducting

literature reviews or philosophical discussions on NLP’s societal impact.

Designing

user studies, surveys, or ethical frameworks.

Exploring

interdisciplinary methods and collaboration strategies.

Submissions

must address the ethical and societal implications of the work, with a clear focus on defining and achieving positive impact. We look forward to fostering discussions that inspire actionable, responsible advancements in NLP for the greater good.

Papers

Format

Both

long and short paper submissions should follow all of the ARR

submission

requirements

https://aclrollingreview.org/cfp#paper-submission-information,

including:

Long

Papers

(8

pages) and Short Papers (4 pages).

Organizers

Katherine

Atwell (Northeastern University)

Angana

Borah (University of Michigan)

Dr.

Daryna Dementieva (Technical University of Munich)

Prof

Elisa Kreiss (University of California)

Dr.

Neema Kotonya (Dataminr)

Jiarui

Liu

(Carnegie Mellon University)

Liz

Olson (Dataminr)

Ruyuan

Wan (Pennsylvania State University)

Prof

Jieyu Zhao (University of Southern California)

Steering

Committee

Prof

Rada Mihalcea (University of Michigan)

Dr.

Joel Tetreault (Dataminr)

Dr.

Zhijing Jin (University of Toronto)

Contact

Email:

nlp4pi.workshop@gmail.com

All

positive regards,

Daryna

Dementieva

On

behalf of NLP4PI Workshop Organizers