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PeerJ Author

280 Points

Contributions by role

Contributions by subject area

Emily L Dolson

PeerJ Author

Summary

Adaptive & Self-Organizing Systems Biodiversity Computational Biology Data Mining & Machine Learning Ecology Evolutionary Studies Scientific Computing & Simulation Spatial & Geographic Information Systems Visual Analytics

Past or current institution affiliations

Michigan State University

Work details

PhD Candidate

Michigan State University

August 2013

Computer Science and Engineering

PhD Candidate

Michigan State University

August 2013

Ecology, Evolutionary Biology, and Behavior Program

PhD Candidate

Michigan State University

August 2013

BEACON Center for the Study of Evolution in Action

Websites

My website

PeerJ Contributions

Preprints 5
Feedback 1

November 2, 2018 - Version: 1

Ecological theory provides insights about evolutionary computation

Emily L Dolson, Wolfgang Banzhaf, Charles Ofria

https://doi.org/10.7287/peerj.preprints.27315v1

October 16, 2018 - Version: 2

The Boundedness Illusion: Asymptotic projections from early evolution underestimate evolutionary potential

Michael J Wiser, Emily L Dolson, Anya Vostinar, Richard E Lenski, Charles Ofria

https://doi.org/10.7287/peerj.preprints.27246v2

October 16, 2018 - Version: 3

The MODES toolbox: Measurements of Open-ended Dynamics in Evolving Systems

Emily L Dolson, Anya E Vostinar, Michael J Wiser, Charles A Ofria

https://doi.org/10.7287/peerj.preprints.27249v3

August 28, 2018 - Version: 1

Exploring genetic programming systems with MAP-Elites

Emily Dolson, Alexander Lalejini, Charles Ofria

https://doi.org/10.7287/peerj.preprints.27154v1

April 23, 2018 - Version: 1

Quantifying the tape of life: Ancestry-based metrics provide insights and intuition about evolutionary dynamics

Emily Dolson, Alexander Lalejini, Steven Jorgensen, Charles Ofria

https://doi.org/10.7287/peerj.preprints.26883v1

Provided feedback on

2 votes

01 Oct 2018

Raincloud plots: a multi-platform tool for robust data visualization

This is fantastic - thanks for writing it! One idea for simplifying the ggplot2 code: instead of dealing with two different data frames (one summary, one containing the raw data),...