Santa Fe Institute Collaboration Platform

COMPLEX TIME: Adaptation, Aging, & Arrow of Time

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Contact: Caitlin Lorraine McShea, Program Manager, cmcshea@santafe.edu

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  1. Aging and Adaptation in Infectious Diseases III/Session III: Disease History, Aging, and Complex Time
  2. Aging and Adaptation in Infectious Diseases III/Welcome, Introductions and Workshop Overview
  3. Aging and measures of processing speed
  4. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/A time to sleep and a time to die
  5. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/About time: Precision measurements and emergent simplicities in an individual bacterial cell's stochastic aging dynamics.
  6. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/All creatures fast and slow: senescence and longevity across the tree of life
  7. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/Bree Aldridge
  8. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/Day 1 Continental Breakfast (outside SFI Collins Conference Room)
  9. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/Discussion
  10. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/JacopoGrilli
  11. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/LinChao
  12. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/MartinPicard
  13. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/MatteoOsella
  14. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/More questions than answers: relations between quantittative physiology and aging in E. coli
  15. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/Overview of the meeting
  16. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/Owen Jones
  17. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/SabrinaSpencer
  18. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/SrividyaIyer-Biswas
  19. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/Stochastic processes shape senescence, beyond genes, and environment
  20. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/Stochasticity, immortality, and mortality in E. coli
  21. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/Systematic Physiology and Aging Across Diverse Organisms
  22. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/The long and the short of it: mycobacterial aging, asymmetry, and stress tolerance
  23. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/Time perception and the rate of cellular aging outside the human body: an energetic perspective
  24. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/Toward a Molecular Understanding of Quiescence versus Senescence
  25. Aging in Single-celled Organisms: from Bacteria to the Whole Tree of Life/UliSteiner
  26. Aging in complex interdependency networks
  27. Amplification or suppression: Social networks and the climate change-migration association in rural Mexico
  28. An exploration of the temporal dynamics
  29. An opposite role for tau in circadian rhythms revealed by mathematical modeling
  30. Antidepressant suppression of non-REM sleep spindles and REM sleep impairs hippocampus-dependent learning while augmenting striatum-dependent learning
  31. Are There too Many Farms in the World? Labor-Market Transaction Costs, Machine Capacities and Optimal Farm Size
  32. Are individual differences in sleep and circadian timing amplified by use of artificial light sources?
  33. Asking the Right Questions in Alzheimer’s Research
  34. Available energy fluxes drive a transition in the diversity, stability, and functional structure of microbial communities
  35. Brain computer interface
  36. CD4 memory T cell levels predict life span in genetically heterogeneous mice.
  37. Chesapeake requiem
  38. Cholinergic modulation of cognitive processing: Insights drawn from computational models
  39. Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning
  40. Circadian pacemaker interferes with sleep onset at specific times each day: Role in insomnia
  41. Circadian phenotype impacts the brain's resting-state functional connectivity, attentional performance, and sleepiness
  42. Circadian regulation dominates homeostatic control of sleep length and prior wake length in humans
  43. Circadian temperature and melatonin rhythms, sleep, and neurobehavioral function in humans living on a 20-h day
  44. Climate shocks and rural-urban migration in Mexico: exploring nonlinearities and thresholds
  45. Climate shocks and the timing of migration from Mexico
  46. Cognitive Regime Shift II - When/why/how the Brain Breaks/(Optional) SFI Community Lecture at the Lensic Performing Arts Center by Melanie Mitchell: Artificial Intelligence: A Guide for Thinking Humans
  47. Cognitive Regime Shift II - When/why/how the Brain Breaks/Cocktail
  48. Cognitive Regime Shift II - When/why/how the Brain Breaks/Day 1 Continental Breakfast
  49. Cognitive Regime Shift II - When/why/how the Brain Breaks/Day 1 Lunch
  50. Cognitive Regime Shift II - When/why/how the Brain Breaks/Day 1 Shuttle Departing Hotel Santa Fe (at lobby) to SFI

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