We would like to invite the community to consider submitting abstracts to our AGU 2016 Fall Meeting session, which focuses on novel data visualization techniques. Specifically, we would like to bring together a diverse range of geoscientists to discuss the many different platforms and technologies being used and developed for data visualization.
Session ID#: 13499
Session Description:
Representing data in a clear, concise and attractive manner is the primary tool scientists use to communicate their research at all levels. Insights into complex systems within Earth sciences often arise through the integration of highly varied, multidimensional, and ever-growing datasets. However, concisely communicating results within traditional frameworks can be challenging. Developing clear, interactive and intuitive visualization software and pedagogy can aid scientists in sharing new and innovative research with their peers and the general public. We invite abstracts focused on best practices of data visualization in the Earth sciences as well as introducing new approaches and platforms. Abstracts will ideally center on data visualization across a breadth of subjects and the inter-disciplinary potential of methods/products. Although the primary focus of the session focuses on visual aids, alternative approaches (e.g. the use of sounds) to communicating data are encouraged.
Please consider contributing to what we hope is a beneficial discussion of the best data visualization techniques that we, as scientists, can continue to build on in the future to better
communicate our research. Any questions can be addressed to Martin ([email protected]). We are very interested in receiving abstracts from a wide range of researchers to develop networks across disciplines.
Submit an abstract to this session.
Final Abstract Submission Deadline is Wednesday, 3 August.
Conveners:
Martin Pratt (Washington University in St. Louis)
Natalie Accardo (Lamont-Doherty Earth Observatory, Columbia University)
Hannah Rabinowitz (Lamont-Doherty Earth Observatory, Columbia University)
John Leeman (Pennsylvania State University)