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Posts

Future Blog Post

less than 1 minute read

Published: January 01, 2199

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published: August 14, 2015

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published: August 14, 2014

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published: August 14, 2013

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published: August 14, 2012

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

people

Avi is a Ph.D. Candidate in Complex Systems and Data Science at the University of Vermont, co-advised by Juniper Lovato. His research sits at the intersection of machine learning, natural language processing, and computational social science. Broadly, he is interested in understanding how LLMs think and its socio-technical impact in higher education.

PhD student

Callandra Moore is a PhD student in Complex Systems and Data Science at the University of Vermont. She is a long-time social justice activist whose research interests are primarily in the use of quantitative and computational methods to advance research on human rights. She has a Bachelor of Applied Science in engineering physics and political science and a Master of Public Health in epidemiology, both from the University of Toronto.

PhD student

Chris Donovan is a PhD student in Complex Systems and Data Science at the University of Vermont and serves as a Food Systems Data Scientist at the Food Systems Research Institute. His work involves food system sustainability research, on-farm research networks, and cultivating FAIR data, while his research pursuits include participatory food systems modeling and reproducible analytical workflows. Chris has a MS in Community Development and Applied Economics from UVM and a BS in Environmental Studies with an emphasis in Conservation Biology from Prescott College.

PhD student

Jeremy Elliott is a PhD student in Complex Systems and Data Science at the University of Vermont, co-advised by Trisha Shrum in the department of Community Development and Applied Economics. His current research examines how story structure motivates pro-environmental behavior within a highly effective climate intervention. More broadly, he’s interested in using data science to understand the drivers of pro-social behavior, and how to communicate data effectively. He holds a B.S. in Physics with Honors from UVM.

PhD student

Luc Cohen-Wanis is pursuing a PhD in Complex Systems and Data Science at the University of Vermont, where he explores how data science and statistical modeling can drive meaningful social impact. His current research interests center on applied statistics and quantitative social science, including collaborative work with Professor Sam Zhang to uncover patterns in faculty hiring and attrition and other interdisciplinary topics. He has a MS in Statistics from the University of Vermont and BS in Mathematics from University of California, Irvine.

Graduate Certificate Student

Rae Tiffen is pursuing a Certificate of Graduate Study in Complex Systems and Data Science at the University of Vermont. They are interested in the development and application of causal inference methods, and have recently been working on understanding shifts in the academic labor market to political changes. They have a Bachelor of Science in Economics and Bachelor of Arts in Russian & East European Studies, both from the University of Vermont.

Sam Zhang

Sam Zhang is the director of the Science and Humanity Lab, an Assistant Professor in the Department of Mathematics and Statistics at the University of Vermont, and core faculty in the Vermont Complex Systems Institute. With his collaborators, he develops and applies methods drawing on mathematics, network science, and data science to examine how institutions shape scientific careers, how biases and hierarchies propagate through systems, and how quantitative approaches can inform humanitarian questions of rights, justice, and policy. He received his PhD in Applied Mathematics at the University of Colorado, Boulder.

MS student

Samantha Magid is pursuing an MS in Complex Systems and Data Science at the Vermont Complex Systems Institute, where she studies mathematical and probabilistic approaches to interdisciplinary complex systems. Her work with Sam Zhang centers around stochastic approaches to understanding scientific productivity. She is interested in metascience, sequential systems, and causal inference. She holds a B.S. in Data Science and Environmental Science from Boston University.