Theory & Synthesis

Overview of the Theory Group

Is nature predictable? Looking broadly across ecological subdisciplines, are there common patterns to what limits the predictability of different types of problems? Answering many of the deep, overarching questions in ecology requires us to develop new theory about predictability itself. It also requires synthesis across a small but rapidly growing catalog of ecological forecasts. Finally, forecasting itself is inherently synthetic, as making specific, quantitative predictions requires the fusion of our prior data and our current theories (as embedded in the models we use).  Prediction provides a means of unification by assessing our ability to extrapolate not just within individual problems but across them; it implies we understand something general about how ecological systems work. These are the big-picture problems the  EFI Theory & Synthesis working group aims to tackle.

Theory Working Group Schedule of Calls:
The Theory Group will meet on Mondays at 11 am US ET on June 15, July 13, and August 17. A new schedule of calls will be created for September to December 2026. We are always open to people joining the calls, contact us at eco4cast.initiative@gmail.com.

Theory Resources

February 27, 2025, Blog Post jointly written with Education & Theory working group members: Resources for Reviewing Code, https://ecoforecast.org/resources-for-reviewing-code/

The Theory Working Group paper, “The Power of Forecasts to Advance Ecological Theory” came out Methods in Ecology and Evolution in August 2022.

The Theory group is working on creating models for submitting forecasts to all the themes in the NEON Forecasting Challenge. During the April 2023 call, Caleb Robbins (Baylor University) shared how to use the tidymodels framework in R which is useful for creating Machine Learning models for forecasts.
Amanda Gallinat’s overview of the Theory Group’s activities for the EFI 2022 Conference held May 23-25, 2022.

Notes from Working Group Calls
Co-chairs: Abby Lewis (Virginia Tech), Shubhi Sharma (Yale University)
Former co-chairs: Amanda Gallinat (University of Wisconsin-Milwaukee), Peter Adler (Utah State University)

  1. March 9, 2026
  2. February 9, 2026
  3. January 12, 2026
  4. December 10, 2025
  5. November 12, 2025
  6. October 8, 2025
  7. September 10, 2025
  8. August 5, 2025
  9. June 17, 2025
  10. May 13, 2025
  11. April 8, 2025
  12. March 11, 2025
  13. February 11, 2025
  14. January 14, 2025
  15. December 2, 2024
  16. November 4, 2024
  17. October 7, 2024
  18. September 9, 2024
  19. August 19, 2024
  20. July 8, 2024
  21. May 20, 2024
  22. April 22, 2024
  23. March 25, 2024
  24. February 26, 2024
  25. January 22, 2024
  26. December 18, 2023
  27. November 13, 2023
  28. October 16, 2023
  29. September 11, 2023
  30. August 14, 2023
  31. July 10, 2023
  32. June 12, 2023
  33. May 15, 2023
  34. April 17, 2023
  35. March 20, 2023
  36. February 27, 2023
  37. January 23, 2023
  38. December 7, 2022
  39. November 2, 2022
  40. October 5, 2022
  41. September 14, 2022
  42. August 9, 2022
  43. July 12, 2022
  44. June 7, 2022
  45. May 3, 2022
  46. April 5, 2022
  47. March 8, 2022
  48. February 8, 2022
  49. January 11, 2022
  50. December 14, 2021
  51. November 16, 2021
  52. October 19, 2021
  53. September 28, 2021
  54. August 16, 2021
  55. July 19, 2021
  56. June 21, 2021
  57. May 24, 2021
  58. April 26, 2021
  59. March 22, 2021
  60. February 22, 2021
  61. January 25, 2021
  62. December 16, 2020
  63. November 18, 2020
  64. October 14, 2020
  65. September 16, 2020
  66. August 18, 2020
  67. July 21, 2020
  68. June 23, 2020
  69. May 26, 2020
  70. April 28, 2020
  71. April 2, 2020
  72. March 10, 2020
  73. February 20, 2020
  74. December 3, 2019
  75. November 12, 2019
  76. October 29, 2019
  77. October 1, 2019
  78. August 20, 2019
  79. July 14, 2019