Advances in Digital Media Virtual Showcase Series

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Please join iDigBio and experts from our community for a two-part virtual showcase highlighting advancements at the leading edge of digital media creation (2D, 3D, video, acoustic recordings, etc.) and use in the context of biodiversity collections research.

The first showcase (25 March) will focus on the media data creation. Topics will include advances in imaging techniques, equipment, software, workflows, and more.

The second (10 June) will focus on downstream use of media data. Topics of interest will include: media access, media archiving, and data standards important to improve the interoperability of data for A.I., AR/VR, and other uses.

Part One - focus on media generation
March, 25, 2024
Hosted by iDigBio and the Florida Museum of Natural History
To view recordings and the agenda from the first webinar, visit the event's wiki page.

Click Here to Register for Part Two - focus on downstream use of digital media
June 10 & 11th, 2024
Hosted by iDigBio and the Yale Peabody Museum

Day 1, June 10th: Virtual Showcase Highlighting AI and Digitization Considerations to Optimize use of data
Topics include: Rapid specimen digitization, Storage, Management, and Sharing, Information ecosystems/pipeline, Linking traits

9:00 EDT

Morning Welcome

Nelson Rios

9:10

Multi-view text detection for LightningBug

Mark Hereld, Senior Scientist, Argonne National Laboratory

9:20

Virtual Label Reconstruction for LightningBug

Nicola Ferrier, Senior Computer Scientist, Argonne National Laboratory

9:30

Multi-modal imaging for next-generation heritage science

Hugo Reyes-Centeno, Assistant Professor, University of Kentucky

9:30

Q&A

Whole Group

9:50

Preserving and Sharing Museum CT Scans at an Institutional Data Repository

Peter Cerda, Associate Librarian, Data Curation Specialist, University of Michigan

10:00

Let the Records Show: Attribution of Scientific Credit in Natural History Collections

Rebecca Dikow, Director of Computational Methods and Data, Yale Library

10:10

MorphoSource: A Community 3D Data Repository for Representational Media

Julie Winchester, Technical Director, MorphoSource 3D Data Repository, Duke University

10:20

Q&A

Whole Group

10:40

Interoperability of Information Ecosystems: Envisioning Collaboration between Biodiversity Informatics, Remote Sensing, and Ecology

Kit Lewers, PhD Student, University of Colorado Boulder

10:50

Increasing Accessibility to museum digital collections

Ed Stanley, Florida Museum of Natural History

11:00

Recent advancements in the Audiovisual Core standard for biodiversity multimedia

Steve Baskauf, Data Science and Data Curation Specialist, Vanderbilt University (retired)

11:10

Q&A

Whole Group

11:30

Expanding LeafMachine2: new training data, models, and methods for processing herbarium specimens

Will Weaver, PhD Candidate, University of Michigan

11:40

Large-scale, research-ready herbarium trait extraction with confidence-based deep-learning

Quentin Bateux, Postdoctoral Associate, Yale Institute for Biospheric Studies

11:50

Challenges linking traits and harmonization for big data research

Rob Guralnick, Curator of Biodiveristy Informatics, Florida Museum of Natural History

12:00

Q&A

Whole Group

Day 2, June 11: Virtual Showcase Highlighting Innovative Technologies for downstream data use
Topics include: Harmonizing data for research, Innovation, Big Data, Non-conventional technologies to promote research and increase visibility

9:00 EDT

Welcome back

Austin Mast

9:10

Image Informatics for Metadata Extraction and Verification of Museum Specimen Images

David E. Breen, Professor of Computer Science, Drexel University

9:20

FishAIR as a model system for AI-Readiness and skipping the data pre-processing

Yasin Bakış, Sr Manager of Biodiversity Informatics and Data Science, Tulane University

9:30

Knowledge-guided Machine Learnring for Discovering Biological Traits from Images

Anuj Karpatne, Associate Professor of Compute Science, Virginia Tech

9:40

Extracting phenological information from specimen images

Daijiang Li, Assistant Professor, LSU

9:50

Q&A

Whole Group

10:10

IIIF: Standards, Communities, and Tools for Sharing High-Quality Attributed Digital Objects at Scale

Julie Winchester, Technical Director, MorphoSource 3D Data Repository, Duke University

10:20

An AI infrastructure for Natural History collections

Arthur Porto, Curator of AI, Florida Museum

10:30

Mapping out phenotypic diversity in a large family of butterflies

Moritz Lürig, Postdoctoral Researcher

10:40

A link between biomedical and natural history research

Matteo Fabbri (remote), Assistant Professor, Johns Hopkins University

10:50

AI Based 3D Modeling Methods Capture Complex Subjects in Uncontrolled Environments

Alex Adkinson, Researcher, Florida State University, iDigBio

11:00

Q&A

Whole Group

11:20

The 'museum philosophy', digitization, and the Macaulay Library

Glenn Seeholzer, Curator, Macaulay Library, Cornell Lab of Ornithology

11:30

Data Sharing Policies and Considerations Must Influence Machine Learning Research Directions in Ecological Applications

Neha Hulkund, PhD student, Computer Science & Artificial Intelligence Laboratory, Massachusetts Institute of Technology

11:40

Enabling Novel Scientific Discovery With Multimodal AI

Eddie Vendrow, PhD student, Computer Science & Artificial Intelligence Laboratory, Massachusetts Institute of Technology

11:50

Q&A

Whole Group

12:10

From fossils to footsteps: reconstructing dinosaur locomotion with computer animation

Armita Manafzadeh, Postdoctoral Fellow, Yale Institute for Biospheric Studies

12:20

Recent Advances in 3D modelling – Machine learning, Morphometrics and Conservation tools

Duncan Irschik, Professor, UMASS Amherst

12:30

Using Specimen Media and Machine Learning for Research and Engagement

Mike Webster

12:40

Q&A

 

 

Start Date: 
Monday, March 25, 2024 (All day)
Monday, June 10, 2024 (All day) to Tuesday, June 11, 2024 (All day)
Location: 
Zoom
Recording policy: 
By attending iDigBio’s online events, you accept that the event will be recorded and posted for later asynchronous viewing.