Fourth Annual Digital Data in Biodiversity Research Conference
Options for submission include: discussion, oral, or poster presentations.
Discussion sessions may be up to one hour long and will be scheduled within the concurrent sessions on Monday and Tuesday. These may begin with a presentation or introduction followed by discussion or may be completely devoted to open discussion.
- machine learning and artificial intelligence
- harnessing the data revolution
- published or publishable biodiversity research and data using digitized specimen information,
- methods and protocols for enhancing discovery with digitized specimen data,
- systematics and the use of digital specimen data,
- ongoing research projects that utilize digital data,
- gaps and deficiencies in currently available digital data that hinder effective use,
- user critiques of digital data, aggregators, and data providers,
- pipelines that integrate digitization, data use, and research,
- standards and practices for depositing and documenting open access digital datasets,
- the role and relevance of “Big Data” in biodiversity research,
- use of digitized biodiversity specimen data within ecological research and practice,
- the relative importance of vouchers vs. observations as digital data,
- managing digital biodiversity specimen data in support of research pipelines,
- analyzing and visualizing specimen-based and related digital data.
The planning team for the 2020 conference includes: from IU Kimberly Cook, Jennifer Laherty, Jess Miller-Camp, Rob Montoya, Gary Motz, and Angie Raymond, and from iDigBio David Blackburn, Jill Goodwin, and Gil Nelson.