KDD'26 Workshop on
SciSoc Agents & LLMs
Agentic AI for Scientific and Societal Advances

August 10th, 2026 | 13:00-17:00

KDD 2026

News

📢 The Call for Papers is OPEN! Submission deadline is May 20th, 2026.
The 2nd SciSoc Agents & LLMs Workshop was accepted at KDD 2026!

About

KDD 2026 SciSoc LLM

Overview

As LLMs such as GPT-4 continue to redefine boundaries in both complexity and capability, their integration into agent-based systems within the scientific and societal domains is not just beneficial but essential.

In particular, Agentic AI systems and Large Language Models (LLMs) have demonstrated substantial value in orchestrating complex pipelines, reasoning over large datasets, and generating insights across various fields such as healthcare, environmental science, education, public policy, and social sciences.

By bringing together experts and enthusiasts from diverse fields, the workshop aims to foster a comprehensive understanding of how LLMs and agent-based architectures jointly redefine traditional research methodologies. Participants will explore novel agentic frameworks, multi-agent collaboration, and real-world deployments to harness the power of LLM-powered agents for greater efficiency and innovation in their respective fields.

Therefore, we propose the Second SciSoc Agents & LLMs Workshop at KDD’26: “Agentic AI for Scientific and Societal Advances” to explore the profound implications and potential of Agentic AI and LLMs in driving forward scientific inquiry and addressing critical societal challenges.

Objectives

Autonomous agents and LLMs for scientific and societal advances represent an evolving concept that shifts the focus from simple question-answer tasks to broader and more impactful applications. They have demonstrated capabilities such as solving university-level math problems by generating solution code, supporting language translation, and answering questions on bar exams with high accuracy, all without additional training.

Given the expanded scope and increasing power of agents and LLMs, their potential to significantly impact scientific discovery and societal progress is becoming increasingly evident. Agentic AI and LLMs have opened up vast opportunities for scaling and accelerating advancements across scientific and social domains.

The objective of this workshop is to explore recent advances in both the theoretical foundations and practical applications on science and society of agentic AI and LLMs. We propose this workshop to serve as a platform where academic researchers and industry professionals can present and discuss cutting-edge research, real-world implementations, and new applications. This timing aligns perfectly with the current momentum in the field, making it an essential event for stakeholders aiming to shape the future of scientific and societal advancements. Moreover, the interdisciplinary nature of KDD encourages a broad spectrum of ideas and solutions, creating an optimal environment for investigating these applications.

Topics

We particularly encourage contributions that demonstrate the practical applications of Large Language Models (LLMs) and autonomous agents in addressing real-world challenges. Relevant topics, focused on scientific and societal applications, include but are not limited to the following list:

  • Pre-training and fine-tuning of foundation models for agent-based scientific applications
  • Multimodal agentic systems integrating text, images, graphs, time series, and structured data
  • Retrieval-augmented and tool-augmented agents for scientific and societal tasks
  • Integration of LLMs with tools, memory, planning, and environment interaction
  • Active learning strategies with LLMs in practical applications
  • Enhancing code generation for scientific practitioners
  • Responsible, trustworthy, and ethical considerations of agent-based AI in society
  • Benchmarks, datasets, and evaluation protocols for agentic AI and LLM-based agents
  • Agentic workflows for AI-driven experimentation, hypothesis generation, and validation in healthcare, life sciences, and scientific discovery
  • Self-evolving agents with autonomous learning, adaptation, and continual improvement
We enthusiastically invite submissions from diverse fields at the nexus of AI, science, and society, including but not limited to healthcare, environmental science, education, public policy, e-commerce, social science, chemistry, and biology.

Call for Papers

We welcome two types of submissions:

  • Full research papers – up to 8 pages of main content, with unlimited additional pages for references and an optional appendix.
  • Short research papers, technical papers, and vision papers – up to 4 pages of main content, plus one additional page for references and an optional appendix.

All submissions must be in PDF format, written in English, formatted in double columns, and adhere to the ACM template and guidelines (also available in Overleaf). Following the KDD’26 conference submission policy, reviews are double-blind to avoid biases, and author names and affiliations should NOT be listed. The recommended setting for LaTeX is:

\documentclass[sigconf,anonymous,review]{acmart}

Submitted works will be assessed based on their technical merit, novelty, clarity, relevance to the workshop, and potential impact, with attention to methodological rigor and reproducibility. We encourage authors to make data and code available publicly when possible.

Accepted papers will be made available on the workshop website but will not be part of the KDD’26 proceedings, as they are non-archival. This allows authors to submit works that are concurrently under review elsewhere or published.

Final selections for a Best Paper, as well as recognitions for Best Presentation or Best Poster, will be announced at the end of the workshop.

All submissions must be uploaded electronically to OpenReview at: [Link to be updated for 2026].

At least one of the authors of the accepted workshop papers must register for the workshop and be present on the day of the workshop.

For questions regarding submissions, please contact the primary organizer at: jiayuan@hippocraticai.com.

Important Dates

All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone.

Workshop Paper Submission (AoE) May 20th, 2026
Workshop Paper Notification June 8th, 2026
Final Submission of Program June 24th, 2026
Workshop Date August 10th, 2026

Invited Keynote Speakers

James Zou
James Zou

Stanford University

Le Song
Le Song

GenBio AI

Nitesh Chawla
Nitesh Chawla

University of Notre Dame

Schedule

Note that our tentative schedule currently has this planned for 13:00-17:00, but we will update accordingly once provided further guidance as to the standardized workshop schedule for KDD’26.

Our program will consist of the following main components:

  1. Invited keynotes from experts in the field of AI4Science coming from both industry and academia to create a synergistic atmosphere and to stimulate collaborations.
  2. Contributed research oral talks selected from the set of accepted works into SciSoc Agents & LLMs.
  3. Future directions panel discussion that will be composed of our keynote speakers given their expertise in this domain.
  4. Contributed poster sessions both before lunch and after the final remarks to allow all those with works accepted into the workshop to present their work and socialize stimulating new ideas and potential collaborations.
Time (AoE) Event
13:00 - 13:10 Welcome & Opening Remarks
13:10 - 13:50 Keynote I
13:50 - 14:20 Contributed Research Oral Talks I
14:20 - 15:00 Keynote II
15:00 - 15:40 Break/Poster Session
15:40 - 16:20 Keynote III
16:20 - 16:50 Contributed Research Oral Talks II
16:50 - 17:00 Best Paper Award Ceremony & Final Remarks

Selection Process

Keynote Speakers & Panelists. The keynote speakers from both academia and industry are planned to be well-recognized in the machine learning and data mining community, especially in the subcommunity focused on LLMs for Science and Society. Some of the invited keynote speakers have already agreed upon, and they have accepted conditional on the acceptance of our proposed SciSoc Agents & LLMs workshop at KDD’26.

Submissions & Review Process. The workshop CFP is for paper submissions that will undergo the standard double-blind peer-review process to avoid biases. We will utilize OpenReview for managing submissions and reviews. We will invite a well-experienced set of program committee members to guarantee each paper submission will be reviewed by at least two PC members.

Presentation Order

In-Person

[To Be Determined after the review process is complete]

Online

[To Be Determined after the review process is complete]

Organizers

Jiayuan Ding
Jiayuan Ding

Hippocratic AI

Wei Jin
Wei Jin

Emory University

Carl Yang
Carl Yang

Emory University

Yixin Wang
Yixin Wang

Stanford University

Chanyoung Park
Chanyoung Park

Korea Advanced Institute of Science and Technology

Xiangliang Zhang
Xiangliang Zhang

University of Notre Dame

Jimeng Sun
Jimeng Sun

University of Illinois Urbana-Champaign

Danai Koutra
Danai Koutra

University of Michigan

B. Aditya Prakash
B. Aditya Prakash

Georgia Tech

Yan Liu
Yan Liu

University of Southern California

Advisory Committee

Subhabrata Mukherjee
Subhabrata Mukherjee

Hippocratic AI

Heng Ji
Heng Ji

University of Illinois Urbana-Champaign

Mohit Bansal
Mohit Bansal

UNC Chapel Hill

Aidong Zhang
Aidong Zhang

University of Virginia

Wei Wang
Wei Wang

University of California, Los Angeles

Web Chairs

Bibek Paudel
Research Scientist, Hippocratic AI
Zhongyu Xing
Incoming PhD Student, North Carolina State University
Bohan Wang
PhD Student, Emory University

Program committee

We thank the following reviewers for providing thorough and constructive feedback on submissions to the workshop:

To be announced.