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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 3f 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

  1.  Vrinda Ambike: LEARNING NETWORK STRUCTURE FOR POTENTIAL DETERMINANTS OF FOOD SAFETY PRACTICES IN CAMBODIA’S INFORMAL VEGETABLE MARKETS
  2. Alicia Arneson: USING PUBLICLY AVAILABLE CLIMATIC DATA TO IMPROVE HINDCASTS OF GOPHER TORTOISE NEST TEM-PERATURES FOR DATA IMPUTATION
  3. Daphna Fauber: TEMPORAL ANALYSIS OF THE EFFECTS OF URBANIZATION ON LYME DISEASE RATES IN THE UNITED STATES, 2008 - 2020
  4. Wesley France: DECISION-SUPPORT TOOL DEVELOPMENT AT THE NEXUS OF STATISTICS AND PROGRAMMING FOR BETTER INTEGRATION OF RESEARCH WITH EXTENSION
  5. David Han 1: STATISTICAL INFERENCE FOR INTERVAL MONITORED STEP-STRESS ACCELERATED LIFE TEST UNDER PROGRESSIVE TYPE-I CENSORING
  6. David Han 2: ORDER-RESTRICTED BAYESIAN INFERENCE & OPTIMAL DESIGN FOR SIMPLE STEP-STRESS ACCELERATED LIFE TEST UNDER PROGRESSIVE TYPE-I CENSORING
  7. 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
  8. Harrison Helmick: UTILIZATION OF RANDOM FOREST AND ARTIFICAL NEURAL NETWORKS IN ESTIMATING PIE CRUST COLOR COLOR UNDER VARIABLE LIGHTING CONDITIONS
  9. Sneha Jha: A FRAMEWORK TO AUTOMATE THE STATISTICAL DESIGN OF FIELD EXPERIMENTS FOR MODERN FARM MANAGEMENT PRACTICES
  10. Aurelie Poncet: A PRACTICAL APPROACH TO THE EVALUATION OF PROXIMAL SOIL SENSOR DATA ACCURACY
  11. Simon Riley: AN ALGORITHM TO SUMMARIZE HIGH-RESOLUTION VOLUMETRIC SOIL WATER CONTENT SENSOR DATA
  12. Ujjwal Sigdel: COMPARISON OF DIFFERENT SCOUTING TECHNIQUES TO MONITOR THE EMERGENCE AND INTENSITY OF YIELD-LIMITING STRESS IN SOYBEANS
  13. John Stevens: APPLIED STATISTICS WITH CHATGPT: BOONS AND BANES
  14. Jingjing Tao: BEHIND THE DECLINE OF ALASKA SNOW CRAB – EXPLORING CLIMATE CHANGE FACTORS & POLICY OPTIONS
  15. 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

 

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