Data Science Coast To Coast — Biodiversity
Date: Wednesday, May 19, 2021
Time: 12:00–1:00 PM Pacific
Attend this webinar using this Zoom link.
The Data Science Coast to Coast (DS C2C) seminar series is hosted jointly by seven academic data science institutes — BIDS, NYU’s Center for Data Science, Rice University’s Ken Kennedy Institute, Stanford Data Science, the University of Michigan’s Michigan Institute for Data Science (MIDAS), and the University of Washington’s eScience Institute, and Johns Hopkins University's Institute of Data Intensive Engineering and Science (IDIES) — to provide a unique opportunity to foster a broad-reaching data science community. In the first half of 2021, DS C2C will host five seminars, each featuring one faculty member and one postdoctoral fellow from two universities. Each speaker will give a 20-minute talk about ongoing projects and motivating issues, followed by 20 minutes of discussion with the audience. These seminars will be the launching point for follow-on research discussion meetings that will hopefully lead to fruitful collaborative research.
Data Science to Measure the Natural World
Rosemary Gillespie, Professor & Schlinger Chair in Systematic Entomology, University of California, Berkeley
Diversity in Animal Response to Environmental Change
Shelly Trigg, Data Science Postdoctoral Fellow, University of Washington
All events in the series are free to attend, and all who are interested are welcome and encouraged to participate. Questions may be directed to Jing Liu (firstname.lastname@example.org), Managing Director of MIDAS.
Rosemary G. Gillespie holds the Schlinger Chair in Systematic Entomology. She is president elect of the American Genetics Association, past president of the International Biogeography Society, trustee and fellow of the California Academy of Sciences, senior editor for Molecular Ecology, and associate editor for Journal of Biogeography. Her primary research uses islands as model systems to understand ecological and evolutionary processes. Hotspot archipelagoes, such as Hawaii, provide a temporal framework of islands that allows one to synthesize ecological and evolutionary perspectives. She uses this framework to integrate macroecological (interaction networks and maximum entropy inference) and evolutionary (population genetics and phylogenetics) approaches to build a predictive understanding of the dynamic interplay between ecology and evolution in shaping the ecology of complex ecosystems.
As part of her interest in biodiversity dynamics, she is co-lead of the UC Berkeley Institute for Global Change Biology (BiGCB), which aims to develop a universal protocol for guiding global change research, for example, in characterizing the early warning signs that precede irreparable damage to ecosystems. This effort involves building the informatics infrastructure needed to access, visualize, and analyze the rich data associated with museum collections, field stations, and other data sources. One component involves ways to accelerate the rate of digitization of label data through crowdsourcing (Notes from Nature).