Agenda

Program PDF (with abstracts)

Lunch and snacks each day are provided. Dinners are on your own but group dinner options will be arranged. Tuesday evening will include a Social at the Courtyard Lafayette that includes the traditional line dancing lessons.

The following time blocks are used for presentations/questions: Invited - 35 minutes, Other - 20 minutes

Day 1 - Monday May 15 (workshop attendees only)

Time	Leaders
8:30 am - 5:00 pm
Workshop: Scalable Bayesian models and estimation methods for the analysis of big spatial and spatio-temporal data	Andrew Finley and Jeff Doser

Day 2 - Tuesday May 16

Time	Moderator
8:30 am - 9:45 am	Bruce Craig
Welcome and Opening Remarks	Bernie Engel
Keynote Address: Tackling large spatial datasets via dimension reduction, induced sparsity, and distributed computing: A case study in forestry applications	Andrew Finley
10:15 am - 11:35 am	William Bridges
A novel training experience on the theory and application of Bayesian statistics in agriculture for African research professionals	Sarah Manski
Mitigation of drought risk for farmers via adoption of more complex crop rotations in the midwest: A Bayesian analysis	Gina Pizzo
Making better use of data from diverse sources: Challenges and Opportunities	Linda Young
Spatial and temporal analysis of corn response to nitrogen and seed rates on-farm precision experiments	Carlos Alesso
1:00 pm - 2:35 pm	Raul Macchiavelli
Invited Speaker: Geostatistical capture-recapture models	Mevin Hooten
Capture-recapture estimation for the Census of Agriculture	Habtamu Benecha
Understanding habitat selection and resource use with the time model and time-explicit step selection function	Denis Valle
Spatial Generalized Linear Mixed Model for Big Data using Reduced Rank Models with a Laplace Approximation	Eryn Blagg
3:00 pm - 4:35 pm	Hans-Peter Piepho
Invited Speaker: Designing experiments for large multi-environment genomic studies: Mega-environmental designs (MED) optimization for sparse testing	Lucia Gutierrez
Generalized Foldover Designs: A Class of Designs for Irregular Fractional 3^f Factorial Experiments with Bias Protection Properties	Vinny Paris
Hyperspectral profile of glyphosate injury in common lambsquarters (Chenopodium album L.)	Mario Soto
A Bayesian Approach for Estimating and Checking Block Designs in Agricultural Experiments	Josefina Lacasa

Day 3 - Wednesday May 17

Time	Moderator
8:30 am - 10:05 am	Nora Bello
Invited Speaker: Addressing reproducibility in cross-validation schemes for heterogeneous field data	Rob Tempelman
"Boring" for insights in a 28-year sugarcane herbivory dataset	Quetin Read
Monitoring crop growth with a hierarchical nonlinear model with model discrepancy	Spencer Wadsworth
Simulation comparison of statistical methods used in assessing vaccine efficacy for unbalanced blocks in veterinary studies	Hui Wu
10:30 am - 12:05 pm	Neil Paton
Invited Speaker: The Carnegie Mellon University Cloud Lab: Automating science for the future	Rebecca Doerge
Effect of flight altitude, cloud cover, sun angle, and front and side overlap on sUAS multispectral image accuracy	Grant Rothrock
Choosing between Probabilistic Models and Machine Learning Algorithms to predict Biomass and LAI for Multispectral-LiDAR UAV-Data	Pamela Solano
The use of generative adversarial networks on real-time computer vision system for image classification of beef cattle in feedlot	Joseane Padilha da Silva
1:30 pm - 2:45 pm	Denis Valle
Invited Speaker: Models and methods for network meta-analysis in the plant and agricultural sciences	Larry Madden
Comparing aggregate and individual meta-analysis on responses to fat supplementation in lactating dairy cows	Jose dos Santos Neto
A REML method for the evidence-splitting model in network meta-analysis	Hans-Peter Piepho

3:15 pm - 4:30 pm
Poster Session Vrinda Ambike: LEARNING NETWORK STRUCTURE FOR POTENTIAL DETERMINANTS OF FOOD SAFETY PRACTICES IN CAMBODIA’S INFORMAL VEGETABLE MARKETS Alicia Arneson: USING PUBLICLY AVAILABLE CLIMATIC DATA TO IMPROVE HINDCASTS OF GOPHER TORTOISE NEST TEM-PERATURES FOR DATA IMPUTATION Daphna Fauber: TEMPORAL ANALYSIS OF THE EFFECTS OF URBANIZATION ON LYME DISEASE RATES IN THE UNITED STATES, 2008 - 2020 Wesley France: DECISION-SUPPORT TOOL DEVELOPMENT AT THE NEXUS OF STATISTICS AND PROGRAMMING FOR BETTER INTEGRATION OF RESEARCH WITH EXTENSION David Han 1: STATISTICAL INFERENCE FOR INTERVAL MONITORED STEP-STRESS ACCELERATED LIFE TEST UNDER PROGRESSIVE TYPE-I CENSORING David Han 2: ORDER-RESTRICTED BAYESIAN INFERENCE & OPTIMAL DESIGN FOR SIMPLE STEP-STRESS ACCELERATED LIFE TEST UNDER PROGRESSIVE TYPE-I CENSORING David Han 3: BIG DATA ANALYTICS, DATA SCIENCE, ML&AI FOR CONNECTED, DATA-DRIVEN PRECISION AGRICUL-TURE AND SMART FARMING SYSTEMS: CHALLENGES AND FUTURE DIRECTIONS Harrison Helmick: UTILIZATION OF RANDOM FOREST AND ARTIFICAL NEURAL NETWORKS IN ESTIMATING PIE CRUST COLOR COLOR UNDER VARIABLE LIGHTING CONDITIONS Sneha Jha: A FRAMEWORK TO AUTOMATE THE STATISTICAL DESIGN OF FIELD EXPERIMENTS FOR MODERN FARM MANAGEMENT PRACTICES Aurelie Poncet: A PRACTICAL APPROACH TO THE EVALUATION OF PROXIMAL SOIL SENSOR DATA ACCURACY Simon Riley: AN ALGORITHM TO SUMMARIZE HIGH-RESOLUTION VOLUMETRIC SOIL WATER CONTENT SENSOR DATA Ujjwal Sigdel: COMPARISON OF DIFFERENT SCOUTING TECHNIQUES TO MONITOR THE EMERGENCE AND INTENSITY OF YIELD-LIMITING STRESS IN SOYBEANS John Stevens: APPLIED STATISTICS WITH CHATGPT: BOONS AND BANES Jingjing Tao: BEHIND THE DECLINE OF ALASKA SNOW CRAB – EXPLORING CLIMATE CHANGE FACTORS & POLICY OPTIONS Audrey Ward: GEOSPATIAL ANALYSIS OF OPTIMAL GNSS PLACEMENT IN PRECISION FORESTRY

Day 4 - Thursday May 18

Time	Moderator
8:30 am - 10:05 am	Guillermo Marcillo
Invited Speaker: Data-driven perspectives in a commercial breeding pipeline	Maria Almeida Macedo
Multimodal Analytics: Bringing together the best of statistics, machine learning and subject matter expertise for agriculture	John Guttula
Predicting the effect of genetically-engineered seeds on the crop-yield distribution in China by synthetic control methods	Yiansen Li
Application of 1D transect data analysis and data mining to identify the drivers of site-specific soybean yield variability	Ujjwal Sigdel
10:30 am - 11:45 pm	Xin Dai
Tree species shift across CONUS in the past 20 years	Jianmin Wang
Comparison of Different Statistical Approaches to Assess the Applicability of Variable-Rate Seeding for Arkansas Soybean	Wesley France
Using imprecise measures of landscape diversity to quantify the marginal effect of diversity on crop yields	Brennan Bean
An algorithm to summarize high-resolution volumetric soil water content sensor data	Aurelie Poncet
1:00 pm - 2:00 pm
Awards and Closing Remarks	Bruce Craig