WAIN 2023 : 3rd IEEE ICDM International Workshop on AI for Nudging (WAIN-2023)
WAIN 2023 : 3rd IEEE ICDM International Workshop on AI for Nudging (WAIN-2023)

WAIN 2023 : 3rd IEEE ICDM International Workshop on AI for Nudging (WAIN-2023)

Shanghai, China
Event Date: December 01, 2023 - December 04, 2023
Submission Deadline: September 18, 2023
Notification of Acceptance: September 24, 2023
Camera Ready Version Due: October 01, 2023

Call for Papers

Call for Papers: 3rd IEEE ICDM International Workshop on AI for Nudging (WAIN-2023)
Co-located with the IEEE International Conference on Data Mining (ICDM), Dec 1 - 4, 2023, Shanghai, China

[Call for Papers]

Important Deadlines 
Paper Submission: September 18, 2023
Acceptance Notice: September 24, 2023
Camera Ready: October 01, 2023
ICDM/Workshop: December 1-4, 2023

Note: Due to ongoing COVID-19 travel impacts, the SSTDM workshop will be held in a hybrid format. Authors who can't travel will be given the option to present their accepted paper remotely.

Nudging has been widely used by decision-makers and organizations (both government and
private) to influence the behavior of target populations, and the concept of nudging is now
being widely used in the digital world. Examples of digital nudging include emails from hospitals
or public health officials encouraging individuals to get vaccinated, text messages from colleges
to stressed-out students to advertise the availability of counseling services during exam weeks,
marketing messages through various digital media, and user interfaces designed to guide
people's behavior in digital choice environments.

The central idea behind nudging is to make small changes to the environments in which citizens
make decisions to encourage better behaviors. Even though nudges have traditionally involved
simple changes that are easy and inexpensive to implement, more complex and sustained
behavior change requires more complex interventions, presenting new challenges for nudging
in the virtual world. Though the concept of nudging has been popularized recently, nudges have
been in use in various aspects of society for a long time, including in healthcare, public health
policy, law, economics, politics, insurance, finance, and advertising. With the increasing availability
of big data from many scientific disciplines, artificial intelligence (AI), machine learning (ML),
and data science (DS) technologies have vast potential to transform data-driven nudging and
decision-making. This workshop seeks to build a new community around AI for nudging and
provide a platform for exploring the state of the art in AI/ML/DS-based systems and
applications of digital nudging.

Adaptation of products and services to individual preferences, called Personalization, has been
at the core of modern businesses to improve customer satisfaction. Modern business and
digital systems coupled with artificial intelligence technologies are poised to enable
personalization on a grand scale. Personalization is key behind many modern
businesses such as Netflix, Facebook, and Amazon to increase their revenue and customer base.
Modern businesses are tailoring content for individual users based on the social, economic, and
cultural profiles mined from the data, as it is shown to increase revenue and attract new
customers. Modern applications ranging from precision marketing to precision healthcare have
shown a clear demand for personalized content.

We invite contributions from researchers of any discipline who are developing AI/ML/DS
technologies that impact human behavior based on nudging theory or personalization or
behavioral science-based solutions. For example, in the context of public health
communications, how can AI/ML be used to address the construction of a message
incorporating nudges; how do you digitally nudge people towards better healthcare outcomes,
better financial decisions, or improve productivity; or how can nudging be personalized? What
are the key data, technology, privacy and ethical, adaptation, and scaling challenges in nudging
and personalization? In addition to algorithmic and systems papers, case studies that shed light
on the effectiveness of nudges and personalization at maximizing a specific outcome, how
AI/ML-based systems can nudge people to make better decisions, or how the industry is developing
and/or using nudging and personalization technology to influence the behavior of consumers is of
great interest in this workshop.

Topics of interest include, but are not limited to, the following:
* Theoretical foundations of nudging and personalization
* Data-driven and evidence-based approaches in nudging and personalization
* Core AI/ML topics including multi-agents, federated learning, active learning, semi-
supervised learning, multi-armed bandits, contextual bandits, reinforcement learning,
deep learning, transfer learning
* Multi-modal data and model fusion
* Representation learning, and embeddings
* Learning from categorical and relational data
* Feature engineering
* Statistical models, A/B testing
* Privacy and Ethical issues in nudging and personalization
* Personalized nudging
* Challenges for AI in real-time nudging
* AI-driven interactions encoding behavior change solutions
* Nudging and personalization in conversational AI systems
* Evaluation strategies to measure the impact and effectiveness of nudging and
* Applications: Healthcare, Precision Medicine, Energy, Environment, Transportation,
Workforce, Education, Advertising, Government, Politics, Policy, Software Engineering

Paper Submissions:
This is an open call for papers. We invite both full papers (max 8 pages) describing mature work
and short papers (max 4-5 pages) describing work-in-progress or case studies. Only original and
high-quality papers formatted using the IEEE 2-column format (Latex Template), including the
bibliography and any possible appendices, will be reviewed. Visit the workshop website or use
the link to submit your papers:

All submitted papers will be evaluated by 2-3 program committee members and accepted
papers will be included in an IEEE ICDM Workshop Proceedings volume, to be published by IEEE
Computer Society Press and will be included in the IEEE Xplore Digital Library.

Best Research/Application/Student Paper Awards:
Best research, application, and student paper awards are sponsored by Lirio. The awards
committee will select papers for these awards based on relevance, program committee
reviews, and presentation quality.

* Visit the official workshop website for additional details at:
* If you have questions, please contact us by e-mail to: [email protected]


WAIN 2023 : 3rd IEEE ICDM International Workshop on AI for Nudging (WAIN-2023) will take place in Shanghai, China. It’s a 4 days event starting on Dec 1, 2023 (Friday) and will be winded up on Dec 4, 2023 (Monday).

WAIN 2023 falls under the following areas: AI, ML, PERSONALIZATION, NUDGING, etc. Submissions for this Workshop can be made by Sep 18, 2023. Authors can expect the result of submission by Sep 24, 2023. Upon acceptance, authors should submit the final version of the manuscript on or before Oct 1, 2023 to the official website of the Workshop.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the WAIN 2023

  • Short Name: WAIN 2023
  • Full Name: 3rd IEEE ICDM International Workshop on AI for Nudging (WAIN-2023)
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of WAIN 2023
  • Event Type: Workshop
  • Website Link:
  • Location/Address: Shanghai, China

Credits and Sources

[1] WAIN 2023 : 3rd IEEE ICDM International Workshop on AI for Nudging (WAIN-2023)

Check other Conferences, Workshops, Seminars, and Events


SS-GAIMHS 2024: Special Session on Generative AI for Medical and Healthcare System
Paris, France
Jun 26, 2024
IAIL 2024: Imaging the AI Landscape after the AI ACT
Malmö, Sweden
Jun 10, 2024
KI 2024: The 47th German Conference on Artificial Intelligence
Sep 25, 2024
BigData 2024: 2024 International Conference on Big Data
Nov 16, 2024
IEEE IMC 2024: The 12th IEEE International Conference on Intelligent Mobile Computing
Jul 15, 2024


FMEC 2024: The 9th International Conference on Fog and Mobile Edge Computing
Sep 2, 2024
ACL 2024: ACL2024: First Call for Main Conference Papers
Bangkok, Thailand
Aug 11, 2024
SciSec 2024: The 6th International Conference on Science of Cyber Security- 2024
Copenhagen, Denmark
Aug 14, 2024
NYC-2024-ML 2024: New York Annual Conference on Machine Learning 2024
New York, USA
Jun 27, 2024
NetSMM 2024: 7th International Workshop on Network and System Management and Monitoring
Kitakyushu, Japan
Apr 17, 2024


PGAI 2023: The First Workshop on Personalized Generative AI @CIKM'23
Birmingham, UK (hybrid)
Oct 22, 2023
MORS 2022: 2nd workshop on multi-objective recommender systems
Seattle, USA
Sep 18, 2022
iTextbooks 2022: iTextbooks 2022 : Fourth Workshop on Intelligent Textbooks at AIED 2022
Durham, UK
Jul 27, 2022