#orientation ## Shifting Cycles - hierarchical system - innovation, which is disruptive should gain trust to have effect - cycle originates from feedback within hierarchical system (hiring, pricing, manufacturing, order fulfilling) - no oscillation in SI system - push and pull strategy on platform: pulling innovation until the threshold of trust then push - measuring whether cycles have been shifted (e.g. dynamic hypothesis testing; counterfactual) - examples: agency, film, vaccine (do we call vaccine innovation? #tfq) - statistical approach of table function - hierarchical system (prey-predator) has "competition" positive feedback? could we call horizontal parameter estimation as (wip, inventory adj time) as SI, vertical parameter estimation PP? | - | Suceptible-Infected | Prey-Predator | | | ---------------------- | ----------------------------- | -------------------------------------------- | ------------------------------------------------------ | | order | stock-flow-stock (closed system) | flow-stock-flow (open system) | | | members | cooperative actors | competitive actors | competition:= heterogeneous goals | | global goal | guard, allocate within | attack, match between | | | relation between boxes | zero sum, relative | absolute | | | # of flow/ # of box | < 1 | > 1 | | | model for | diffusion | competition, M:1 matching | | | scale of `est.param` | free (given N, ratio form) | scale dep. coef. of rate (u-coef vs uv-coef) | | | time window | instant | long-term | reason why time-hetero transm. rate is emphasized (covid) | | equilibrium | (space-time) locally stable | locally unstable | | | reference | BD ch.9, negative feedback | BD ch.10, positive feedback | | | tag | #ZeroSum | | |