Artificial Intelligence (AI) in Entomology: An Aid to Publishing, Research, and Teaching

Organizer(s)

• 

  Eric Riddick, Ph.D.

  Research Entomologist
  USDA-ARS
  Stoneville, Mississippi
• MS

  Melissa Siebert, Ph.D.

  Corteva Agriscience
  Greenville, Mississippi
• RK

  Rayda Krell, Ph.D.

  Corteva Agriscience
  Ridgefield, Connecticut
• 

  Margarita López-Uribe, Ph.D.

  Associate Professor
  Entomology
  The Pennsylvania State University
  University Park, Pennsylvania
• 

  Christelle Guedot

  Associate Professor
  Department of Entomology
  University of Wisconsin
  Madison, Wisconsin
• 

  Jessica McEwan

  Managing Editor
  Entomological Society of America
  Annapolis, Maryland

This symposium will target entomologists and non-entomologists interested in using AI to assist in publishing, research, and teaching. We anticipate that presenters will engage with each other and with the audience during and after the symposium. We expect that one or more products, e.g., publications, will culminate from this symposium.

Presentations:

• 9:30 AM – 9:35 AM MST

  Introductory remarks
  

  Presenting Author: Eric W. Riddick, Ph.D. – USDA-ARS
• 9:35 AM – 9:55 AM MST

  Artificial intelligence: Opportunities, challenges, and current policies
  

  Presenting Author: Jinnie Kim – Oxford University Press
• 9:55 AM – 10:15 AM MST

  Do you need machine learning or was first semester graduate statistics good enough?
  

  Presenting Author: Gabriel Zilnik, Ph.D. – USDA-ARS
• 10:15 AM – 10:35 AM MST

  Lessons learned using AI to translate educational manuals
  

  Presenting Author: Ric Bessin, Ph.D. – University of Kentucky
• 10:35 AM – 10:55 AM MST

  Advancing image-based automated trap use for monitoring insects in stored product environments
  

  Presenting Author: Alison R. Gerken – USDA-ARS

  Co-Author: Chetan Badgujar, Ph.D. – University of Tennessee

  Co-Author: Ronnie Opone Serfa Juan, Ph.D. (he/him/his) – USDA-ARS

  Co-Author: Lester Pordesimo, Ph.D. – USDA-ARS

  Co-Author: James F. Campbell – USDA-ARS

  Co-Author: Paul Armstrong, Ph.D. – USDA-ARS
• 10:55 AM – 11:05 AM MST

  Break
• 11:05 AM – 11:25 AM MST

  High-throughput specimen digitization using whole-drawer images and computer vision AI
  

  Presenting Author: Elizabeth Postema, Ph.D. (she/her/hers) – Field Museum

  Co-Author: Leah Briscoe – Lake Forest College

  Co-Author: Chloe Harder

  Co-Author: Bruno A S de Medeiros, Ph.D. – Field Museum
• 11:25 AM – 11:45 AM MST

  AI and modern CV in the insect laboratory: Discovering important behaviors in ants and deep faking wasps
  

  Presenting Author: Theodore P. Pavlic, Ph.D. (he/him/his) – Arizona State University

  Co-Author: Akuadasuo Ezenyilimba, Ph.D. – Arizona State University

  Co-Author: So Eun Moon – University of Michigan

  Co-Author: Elizabeth Tibbetts, Ph.D. – University of Michigan

  Co-Author: Taeyeong Choi, Ph.D. – Kennesaw State University

  Co-Author: Benjamin Pyenson, Ph.D. (he/him/his) – University of Toronto

  Co-Author: Juergen Liebig (he/him/his) – Arizona State University

  Co-Author: Pavan Turaga, Ph.D. – Arizona State University

  Co-Author: Kacy Hatfield – Arizona State University

  Co-Author: Juan Jose Garcia Mesa, Ph.D. – Arizona State University

  Co-Author: Nitin Verma, Ph.D. – Arizona State University
• 11:45 AM – 12:05 PM MST

  High-tech automated insect detection flight sensors by FarmSense: How to transform your research and insect management decisions
  

  Presenting Author: Tracy Ellis, Ph.D. – FarmSense, Inc.

  Co-Author: Eamonn Keogh, Ph.D. – University of California

  Co-Author: Shailendra Singh – FarmSense, Inc.

  Co-Author: Leslie Hickle – FarmSense, Inc.

  Co-Author: Cliff Kitayama, Ph.D. – FarmSense, Inc.

  Co-Author: John Randazzo – FarmSense, Inc.

  Co-Author: Shahab Nikkhoo – FarmSense, Inc.

  Co-Author: Stefano Tata – FarmSense, Inc.
• 12:05 PM – 12:20 PM MST

  Panel discussion
• 12:20 PM – 12:25 PM MST

  Discussion
• 12:25 PM – 12:30 PM MST

  Closing remarks
  

  Presenting Author: Eric W. Riddick, Ph.D. – USDA-ARS