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