Workshop on
NLP for Positive Impact 2022

Upcoming at EMNLP 2022 (Nov, 2022)

Last workshop held at ACL-IJCNLP 2021

(Recurring every year; in line with the NLP for Social Good Initiative)

What Is the NLP for Positive Impact Workshop?

In our workshop, we aim to bridge social needs with the impressive power of NLP.

  • We encourage research on NLP for Social Good, such as in this list and our call for papers

  • We welcome conversations between researchers and people with experience working on the frontiers of social good, as in our ACL 2021 Workshop

Plan for NLP for Positive Impact 2022

Call for Papers (2022 Workshop)

Please see our detailed page of call for papers here.

The widespread and indispensable use of language-oriented AI systems presents new opportunities to have positive social impact. NLP technologies are starting to mature to the point where they could have an even broader impact, supporting the UN sustainability goals by helping to address big problems such as poverty, hunger, healthcare, education, inequality, COVID-19 and climate change.

Our workshop aims to promote innovative NLP research that will positively impact society, focusing on responsible methods and new applications. We will encourage submissions from areas including (but not limited to):

  • Work that grounds the impact of NLP: Beyond developing a better-performing NLP model, can we make a step further to connect the model to actual social impact? Example directions can include: case studies of real-world deployments; or improving the deployment and maintenance of NLP models in practice.

In addition to commonly recognized NLP for social good areas such as NLP for healthcare, mental well-being, and many others, we also call for work on neglected areas such as NLP for poverty, hunger, energy, climate change, among others.

We also highly value work that builds on interdisciplinary expertise, and encourages submissions of case studies or worked examples that seek to expand the social impact of NLP through collaboration with other fields (e.g., philanthropy, social science, political science, economics, HCI).

  • Work that guides researchers in NLP for Social Good: Can we provide insights and guidance to the field? Example directions include: measures of social impact; automatic identification of various social needs, their corresponding sizes and demographics of people affected; position papers to propose promising new tasks or directions that the field should pursue; literature review of a subfield; philosophical discussions of what social good is; approaches to interdisciplinary collaboration; user study designs, user surveys; ethical considerations, and other related topics.

Note that we want submissions to our workshop to have some distinctive features of social good implications, beyond a general paper on NLP. We will require each submission to discuss the ethical and societal implications of their work, and encourage a discussion of what "positive impact" means in the work.

We welcome applications as reviewers for our next workshop in 2022 (apply through this Google Form as a reviewer). You can email us if you have questions about the workshop.

Organizing Committee

Steering Committee

Workshop Event Plan

For the upcoming 2022 workshop, we plan for activities that can poster interdisciplinary conversations:

  • Keynote talks and panels that include both NLP researchers and non-NLP people working on social good

  • Paper poster sessions to show a variety of NLP and social good research

  • Supply vs. Need conversation: Invite people with data & application needs to propose tasks. And invite NLP researchers to take the tasks and do projects accordingly.

    • E.g., a lightning talk session where each interested person give a 2-min pitch of their work/needs/resources.

  • Free-form discussions among the participants.

Invited Speakers (A-Z)

  • Rada Mihalcea, Professor at University of Michigan (NLP for social good, with applications in mental health, fake news, etc.)

  • Sabelo Mhlambi, Research Fellow at Harvard; Founder of Bhala and Bantucracy (NLP for African countries, with applications in human rights, ethics, etc.)

  • Mrinmaya Sachan, Professor at ETH Zürich (NLP for education)

  • DataKind, an organization working at the frontier of AI4SG (Various real-world applications of AI for social good, with case studies from the organization)


  • Luis Chiruzzo, Professor at Universidad de la República, Uruguay (work on NLP tools to support teachers in rural areas)

  • Tara Chklovsk, CEO of Technovation (actively involved in educating children in underserved communities)


For questions and sponsorship, feel free to contact us at