Agenda

Mon
May 13
7:30 AM – 8:30 AM Workshop Registration

9:00 AM – 5:00 PM Intermediate and Advanced Linear and Generalized Linear Mixed Models, Ben Bolker

10:00 AM – 10:15 AM Break with Snack

12:00 PM – 1:00 PM Lunch

3:00 PM – 3:15 PM Break

Tue
May 14
8:30 AM – 8:50 AM Welcome

8:30 AM – 8:35 AM Welcome, Philip Dixon, University Professor, Department of Statistics, Iowa State University

8:35 AM – 8:50 AM Welcome, Carolyn Lawrence-Dill, Associate Dean for Research, College of Agriculture and Life Sciences, Iowa State University

9:00 AM – 10:00 AM Keynote - Progress and Challenges in open-source multilevel modeling

Ben Bolker

10:00 AM – 10:15 AM Break with snack

10:15 AM – 11:15 AM Genetics and Fish; Moderator: Jarad Niemi

10:15 AM – 10:35 AM Factor-analytic variance structures for modelling genotype-environment interaction – where do we stand?

Hans-Peter Piepho

10:35 AM – 10:55 AM Estimating reservoir fish escape probability through a joint analysis of growth, survival, recapture and escape

Chunfa Jie

10:55 AM – 11:15 AM Heterosis gene detection for RNA-seq data without replicates: an objective Bayesian approach

Benjamin Jacobs

11:25 AM – 12:00 PM Poster Presentations

Mian Adnan
Vrinda Ambike
Samuel Eschker
David Han
Francis Jo
Harpreet Kaur
Aidan Kerns
Zhengqiang Ni
Guilherme J. M. Rosa
Sreya Sarkar
Zirou Zhou

12:00 PM – 1:00 PM Lunch

1:00 PM – 2:35 PM Artificial intelligence

Moderator: Bruce Craig

1:00 PM – 1:35 PM Artificial Intelligence for Animal Farming: Integrating sensor data for optimal management decisions

Joao Dorea

1:35 PM – 1:55 PM ModelOps for Agricultural Data

John Gottula

1:55 PM – 2:15 PM Enhancing Breast Density Assessment in Mammograms through Artificial Intelligence

Naila Rocha

2:15 PM – 2:35 PM Detection of anemic sheep based on Famacha© score using ocular conjunctiva images and deep learning algorithms

Luara Freitas

2:35 PM – 3:00 PM Break with Snack

3:00 PM – 4:20 PM Classification

Moderator: Julia Piaskowski

3:00 PM – 3:20 PM Mapping Best Management Practices for Soil and Water Conservation via Deep Residual U-net Semantic Segmentation

Zhengyuan Zhu

3:20 PM – 3:40 PM Comparing Multiclass Classification in Crop Yield Prediction using Supervised Machine Learning

Siraj Osman Omer

3:40 PM – 4:00 PM Comparison of Classification Methods for Pathogen Detection with High-Dimensional Mi-Fi Data

Huizi Wang

4:00 PM – 4:20 PM Quantifying uncertainty in land-use land-cover classification using conformal statistics

Denis Valle

6:00 PM – 9:30 PM Tuesday Evening Reception with Line Dancing for all Workshop and Conference Attendees

Wed
May 15
8:30 AM – 10:05 AM Experiments

Moderator: Kathleen Yeater

8:30 AM – 9:05 AM Data Deserts, Data Deluges: Sharing, Storing, and Spotlighting across Silos and States

Lisa Schulte-Moore / Matt Stephenson

9:05 AM – 9:25 AM Adjusted Coefficient of Variation: An Alternative for Evaluating Field Trial Precision

Julia Piaskowski

9:25 AM – 9:45 AM Constructing interpretable statistical crop yield prediction models using field-level data

Tyler Bagwell

9:45 AM – 10:05 AM A methodology to minimize error from pedogeomorphic variation in agricultural field experiments

Sneha Jha

10:05 AM – 10:15 AM Break with Snack

10:15 AM – 11:35 AM Missing Data

Moderator: Neil Paton

10:15 AM – 10:35 AM Initial Data Analysis in Agricultural Studies: Metadata and Missing Data in Milking Data

Sam Manski

10:35 AM – 10:55 AM Losing Control: The Effect of Removing the Control Treatment in Nitrogen Fertility Trials

Alex Cleveringa

10:55 AM – 11:15 AM Methods to account for incomplete viewsheds in distance sampling

David Delaney

12:00 PM – 1:00 PM Lunch

1:00 PM – 2:35 PM Bayesian Methods

Moderator: Denis Valle

1:00 PM – 1:35 PM Bayesian models for complex animal movement data

Toryn Schafer

1:35 PM – 1:55 PM Bayesian yield stability analysis of long term experiments using Stan as an alternative to paid options like SAS and ASREML

Brendan Alexander

1:55 PM – 2:15 PM Farm Revenue Uncertainty: a Bayesian study for Corn in the US Midwest

Gina Pizzo

2:15 PM – 2:35 PM Bayesian modeling of quantile forecasts for distribution matching

Spencer Wadsworth

2:35 PM – 3:00 PM Break with Snack

3:00 PM – 4:35 PM Spatio-Temporal Analysis

Moderator: Sam Manski

3:00 PM – 3:35 PM What can we learn from Hopkins Statistic, how it is used, and how it is misused?

Kevin Wright

3:35 PM – 3:55 PM Estimation and interpretation problems and solutions when using proportion covariates in linear regression models

Denis Valle

3:55 PM – 4:15 PM Assessing Spatial Consistency using Space-Time Interactions with a GAM

Payton Miloser

4:15 PM – 4:35 PM Identifying Spatio-Temporal Variability in Animal Movement and Agriculture through a Mixture of Machine Learning and Bayesian Hierarchical Modeling

Abraham Arbelaez

Thu
May 16
8:30 AM – 9:45 AM Spatio-Temporal Analysis

Moderator: Hans-Peter Piepho

8:30 AM – 9:05 AM It was A tough Row to Hoe-Adoption of Mixed Models in Agronomy

Edzard van Santen

9:05 AM – 9:25 AM Adapting Asymmetry Quantification Methods from Tidal Dynamics to Circannual Rhythms of Milk Components

Alex Pape

9:25 AM – 9:45 AM Quantifying the Impact of Rain-on-Snow Induced Flooding in the Western United States

Brennan Bean

9:45 AM – 10:00 AM Break with Snack

10:00 AM – 11:00 AM Panel discussion on the history and future of mixed models

12:00 PM – 1:00 PM Lunch

1:00 PM End of conference