Presentations
As lead/presenting author:2023
Creating Data-Driven Interactive Virtual Environments for Communicating Forest Change.
With Colin M. Beier and Aidan C. Ackerman
Regular talk, American Geophysical Union Fall Meeting, San Francisco, CA, December 14 2023.
Slides available at https://mikemahoney218.github.io/2023-12-14-viz/2023-12-14-viz.html
Consistent Workflows for Assessing Model Performance: Tools and Applications to Natural Climate Solutions.
With Lucas K. Johnson and Colin M. Beier
Regular talk, American Geophysical Union Fall Meeting, San Francisco, CA, December 12 2023.
Slides available at https://mikemahoney218.github.io/2023-12-12-waywiser/2023-12-12-waywiser.html
Recipient of an Outstanding Student Presentation Award.
spatialsample: Infrastructure for spatial cross-validation
Invited talk, EcoHealth Alliance, New York, NY (Virtual), December 7th 2023.
waywiser: An ergonomic toolbox for assesing spatial models
Invited talk, EcoHealth Alliance, New York, NY (Virtual), November 2nd 2023.
Making Sausage: How open source scientific software gets made – and what keeps us from making more.
Invited talk, Federation of Earth Science Information Partners (ESIP) Open Science Cluster (Virtual), December 7th 2023.
Slides available at https://mikemahoney218.github.io/open-sci-talk/open-sci-talk.html
Video available at https://youtu.be/sJhP1Bdib-s?si=vld8KWS7WsGG6ZaQ
Mapping shrublands across New York State: Targeted ML for informing management decisions.
Invited talk, Federation of Earth Science Information Partners (ESIP) July Meeting, Burlington, VT, July 18 2023.
Slides available at https://mm218.dev/esip2023
Assessing spatial models in scientifically sound ways is hard. New tools for the tidymodels modeling framework can help make it easier.
Poster presentation, Federation of Earth Science Information Partners (ESIP) July Meeting, Burlington, VT, July 19 2023.
Poster available at https://mm218.dev/esip2023poster
spatialsample: A tidy approach to spatial cross-validation.
Regular talk, Greater Boston useR Group, Boston, MA, April 5 2023.
Slides available at https://mm218.dev/boston_useR_2023
Make reproducibility easy.
Invited talk, Federation of Earth Science Information Partners (ESIP) January Meeting, Severna Park, Maryland (Virtual), January 23 2023.
Slides available at https://mm218.dev/esip2023
2022
Virtual Environments for Communicating Changing Forests.
With Colin M. Beier and Aidan C. Ackerman
Regular talk, Forest Ecosystem Monitoring Cooperative Conference, Burlington, VT, December 15 2022.
Slides available at https://mm218.dev/femc2022
Building trust in AI outputs: Approaches from NY’s forest carbon monitoring program.
Invited talk, Federation of Earth Science Information Partners (ESIP) July Meeting, Pittsburgh, PA, July 22 2022.
Slides available at https://mm218.dev/esip2022
Detecting regenerating forestland at a landscape level.
With Lucas K. Johnson, and Colin M. Beier
Regular talk, Ecological Society of America and Canadian Society for Ecology and Evolution Joint Annual Meeting, Montreal, Quebec, Canada, August 15 2022.
unifir: A Unifying API for Working with Unity in R.
With Colin M. Beier and Aidan C. Ackerman
Regular talk, useR! 2022 (Virtual), June 22 2022.
Filtering ground noise from LiDAR returns produces inferior models of forest aboveground biomass.
With Lucas K. Johnson, and Colin M. Beier
Regular talk, North American Forest Ecology Workshop (Virtual), June 20 2022.
It’s not what it looks like: Learning to question assumptions when debugging ML models.
Regular talk, Data Mishaps Night (Virtual), February 24 2022.
Using AI/ML to help New York manage lands for net zero carbon.
Invited talk, Federation of Earth Science Information Partners (ESIP) January Meeting, Annapolis, MD (Virtual), January 20 2022.
Recording available at https://youtu.be/k8AqtJFpYEk?t=3065
2021
Filtering ground noise from LiDAR returns produces inferior models of forest aboveground biomass.
Poster presentation, American Geophysical Union Fall Meeting, New Orleans LA, December 15 2021.
Poster available at https://www.mm218.dev/papers/ground_filtering/poster.pdf
Interactive landscape simulations for visual resource assessment.
With Colin M. Beier and Aidan C. Ackerman
Regular talk, Visual Resources Stewardship Conference, SUNY-ESF, Syracuse, NY, October 21 2021.
Slides available at https://mikemahoney218.github.io/2021-10-21-vrs/
Producing Interactive 3D Landscape Visualizations in Unity Using Terrainr R Package.
With Colin M. Beier and Aidan C. Ackerman
Invited workshop, Visual Resources Stewardship Conference, SUNY-ESF, Syracuse, NY, October 19 2021.
Materials available at https://mikemahoney218.github.io/2021-10-19-vrs-workshop/2021-10-19-vrs-workshop.html
terrainr: Spatial Data Access and Visualization in R.
Invited talk, Earth Science Information Partners, Severna Park MD, September 9 2021.
Slides available at https://mm218.dev/esip2021.
Video recording available at https://youtu.be/xWZ7QQMr_AQ
Virtual Environments: Using R as a Frontend for 3D Rendering of Digital Landscapes.
With Colin M. Beier and Aidan C. Ackerman
Regular talk, useR! 2021, ETH Zürich, Zürich, Switzerland, July 6 2021.
Slides available at https://mm218.dev/user2021.
Video recording available at https://www.youtube.com/watch?t=2202&v=tbt8ZsHm5eA
Accessing the USGS National Map and Making 3D Maps with terrainr.
With Colleen Nell (lead author) and Lindsay Platt
Invited workshop, USGS Center for Data Integration, Lakewood, CO, May 28 2021.
Materials available at https://www.mm218.dev/cdi/cdi.html.
terrainr: Landscape Visualizations Using Data from the National Map.
Invited talk, USGS National Geospatial Technical Operations Center, Denver, CO, February 5 2021.
2018
Beaver Foraging Preferences and Impacts on Forest Structure in the Adirondack Mountains of New York.
With John C. Stella
Regular talk, Forest Ecosystem Monitoring Collective Conference, University of Vermont, Burlington, VT, December 2018.
Beaver Foraging Preferences and Impacts on Forest Structure in the Adirondack Mountains of New York.
With John C. Stella
Regular talk, Rochester Academy of Sciences Fall Scientific Paper Session, Geneseo, NY, November 2018.
As co-/non-presenting author:
2023
An integrated carbon monitoring framework for stock-change GHG inventory at parcel to landscape scales: approach, outputs and applications.
With Colin M. Beier (lead author), Lucas K. Johnson, Madeleine Desrochers, and Grant Domke.
Regular talk, American Geophysical Union Fall Meeting, San Francisco, CA, December 13 2023.
Bridging the Gap Between Pixels and Minimum Estimation Units: Small-Area Uncertainty Estimation with Forest Aboveground Biomass Maps.
With Lucas K. Johnson (lead author), Grant Domke, and Colin M. Beier
Poster presentation, American Geophysical Union Fall Meeting, San Francisco, CA, December 11 2023.
2022
A Map‑based Stock Change Approach for Fine‑scale Biomass and Carbon Accounting in NYS.
Regular talk, Forest Ecosystem Monitoring Cooperative Conference, Burlington, VT, December 15 2022.
Historical Time Series Biomass Modeling: To Train on Plots or Pixels?.
Regular talk, American Geophysical Union Fall Meeting, Chicago, IL, December 14 2022.
2021
Broad‑scale forest biomass mapping: generating contiguous high‑resolution predictions using a spatio‑temporal patchwork of LiDAR coverages across a mixed‑use landscape.
Regular talk, American Geophysical Union Fall Meeting, New Orleans LA, December 15 2021.
Greening Up Before Growing Up: Challenges in Modeling Forest Biomass Recovery Post‑Harvest Using Satellite Imagery.
Regular talk, Society of American Foresters National Convention, Virtual, November 2021.
2019
Nutritional Impacts on Invasive Beech Scale Quantification in Beech Bark Disease Aftermath Forests.
With Gretchen A. Dillion (lead author), Stephanie Chase, and Mariann Johnston.
Poster presentation, New York Society of American Foresters Annual Meeting, Syracuse, NY, November 2019.
2017
An Investigation of Nutritional Effects on Beech Bark Disease Causal Organisms.
With Gretchen A. Dillon (lead author), Mariann Johnston, Vizma Leimanis, and Jason Stoodley
Poster presentation, Forest Ecosystem Monitoring Collective Conference, University of Vermont, Burlington, VT, December 2017.
An Investigation of Nutritional Effects on Beech Bark Disease Causal Organisms.
With Gretchen A. Dillon (lead author), Mariann Johnston, Vizma Leimanis, and Jason Stoodley
Poster presentation, Rochester Academy of Sciences Fall Scientific Paper Session, Geneseo, NY, November 2017.