AI Brain

Workshop on Generative AI and FAIR Principles in Science Communication (AI4SC-2024)

(Co-located with 20th IEEE e-Science 2024)

🚨 New Schedule Available! Click here to view the full schedule. 🚨 🚨 List of Accepted Papers are up! Click here to view the full schedule. 🚨

Welcome to AI4SC 2024

In an era when the boundaries of science and technology are increasingly overlapping, the emergence of generative AI and large language models (LLMs) has marked a pivotal shift in scientific communication. These cutting-edge technologies offer unprecedented opportunities to enhance the dissemination of complex scientific knowledge, making it more accessible and understandable to diverse stakeholders. However, the rapid integration of generative AI into the fabric of science communication also poses significant challenges, notably in maintaining the diversity of perspectives and addressing potential biases inherent in AI-driven content.

This is happening at a critical time for the scientific community, when scientists are exploring how generative AI, knowledge graphs, and large language models can revolutionize the sharing and understanding of scientific ideas across different communities. To explore such integration of science communication and AI, this workshop will bring together scientists, technologists, ethicists, AI developers, and science communicators to explore how generative AI can promote Findability, Accessibility, Interoperability, and Reusability (FAIR) principles while upholding equity and inclusivity in scientific discourse.

We will critically examine how AI can advance FAIR principles in scientific domains, technology, computations, and data. Our goal is to cultivate a deep understanding of the advantages and challenges of LLM technologies, thereby aiding in creating robust frameworks and practices that promote the positive impact of generative AI in enhancing science communication and research innovation. This initiative is congruent with the overarching aim of amplifying public engagement with science, highlighting ethical and equitable imperatives in applying AI technologies within the scientific ambit.

Event Updates and News

  • Website Open: May 15, 2024
  • Submissions Open: June 1, 2024
  • Submissions Closed: July 25, 2024
  • Reviews Sent and Resubmission Open: Aug 15, 2024
  • Final Camera Ready: Aug 30, 2024
  • Final Program Notifications: Aug 30, 2024 🚨 Schedule

🚨The event will take place on September 17th, 2024, at the Senri Life Science Center, Room 501, Osaka Senri, Japan.

🚨 Invited Talk: Check out our featured talk on "Its the Data Stupid…."!

Its the Data Stupid….

While machine learning and large language models are making waves, their success is built on one key ingredient: data. Join Carl Kesselman, William M. Keck Professor of Engineering at USC, as he explores how data-centric AI is shifting the focus from building new models to curating high-quality data. Discover how efforts in creating FAIR data are leading to reproducible and impactful machine learning applications, with real-world examples from the Protein Database and FaceBase repository.Learn more here.

🚨 Industry Perspective: Check out our featured talk on "AI and Scientific Discovery" for more details!

AI and Scientific Discovery

Curious about how AI is revolutionizing scientific breakthroughs? Join us for a deep dive into the latest applications of advanced AI models in research, from genetics to climate science. Explore how AI is driving new discoveries by generating hypotheses, designing experiments, and interpreting complex data. Learn about cutting-edge techniques like self-supervised and generative learning, and discover the future of science powered by AI. Don’t miss this opportunity to hear from Dr. Shounak Datta, an expert in optimizing AI for efficiency, as he shares insights on the challenges and innovations shaping the next wave of scientific progress! Learn more here.

Venue Information

This year the eScience'24 will be held at the Senri Life Science Center located in Osaka Senri, Japan. Senri Life Science Center is located a 2-minute walk from Senri Chuo Station, about 30 minutes from the center of Osaka, the second largest city of Japan. The venue is approximately 15 minutes from both Shin-Osaka Station and Osaka International Airport (Itami Airport).

View the location on Google Maps.

For more details, visit the venue page and the main page of the eScience conference.

Contact Details

San Diego Supercomputer Center,
University of California San Diego
9836 Hopkins Drive, MC 0505
La Jolla, CA 92093-0505
United States of America
Email: ai4sc@sdsc.edu