Call for Participation

Topics 

We encourage participation on a broad range of topics that explore AI/ML techniques to understand characteristic patterns of organisms from image or video data. Examples of research questions include (but are not limited to): 

1. What are the types and characteristics of knowledge and data in biology that can be integrated into AI methodologies, and what are the mechanisms for this integration? 

2. How best can new knowledge exposed by ML be translated back into the knowledge corpus of biology? 

3. How best can we inform and catalyze a community of practice to utilize and build upon Imageomics to address grand scientific and societal challenges? 

4. How can foundation models in vision and language impact biology or benefit from biological knowledge?

Attendance

We welcome participation from anyone interested in learning about the field of Imageomics, including (a) biologists working on problems with image data and biological knowledge available such as phylogenies, taxonomic groupings, ontologies, or evolutionary models, and (b) AI researchers working on topics such as explainability, generalizability, inductive bias, open world and fine-grained recognition, foundation models, and novelty detection, who are looking for novel interdisciplinary research problems. 

Symposium Key Dates:

• Paper Submission Deadline: December 5, November 30, 2023, 11:59 PM AOE

• Acceptance/Rejection Decision: December 20, 2023 December 14, 2023

• Early Registration Deadline: December 20, 2023. 11:59 PM AOE

• Camera-Ready Deadline: January 5, 2024, 11:59 PM AOE

Submission Requirements

We are accepting paper submissions for position, review, or research articles as short papers (2-4 pages, excluding references). Shorter versions of articles in submission or accepted at other venues are acceptable as long as they do not violate the dual-submission policy of the other venue. All submissions will undergo peer review and authors will have the option to publish their work in arxiv proceedings. 

Submissions should be formatted according to the AAAI template (two-column, camera-ready style; see Author Kit) and submitted via OpenReview.