I-Corps_v12_ISDC2026_FINAL
32d534cc-d49e-41e3-aebf-ede259ec2f7b
isee systems, inc.
Stella Architect
-6
24
0.25
1
dmnl
unitless
fraction
mo
month
0.4
Skill_development
Skill_erosion
Dimensionless
Skill_development_rate * (1 - Translational_skills)
1/Months
0.3
Network_growth
Network_decay
Dimensionless
Network_growth_rate * (1 - Professional_Network_Connections)
1/Month
Professional_Network_Connections * Network_decay_rate
1/Month
0.1
Insight_gain
Insight_loss
Dimensionless
(Insight_gain_rate / 1{Month}) * (1 - Customer_Insights)
1/Month
0.2
Readiness_growth
Readiness_decay
Dimensionless
(1-Commercialization_Readiness)*Commercialization_Readiness*Readiness_growth_rate* ((Customer_Insights/INIT(Customer_Insights))^1)* ((Translational_skills/INIT(Translational_skills))^1)* ((Cognitive_Flexibility/INIT(Cognitive_Flexibility))^1)
1/Month
0.4
Humility_gain
Humility_loss
Dimensionless
Humility_gain_rate * (1 - Intellectual_Humility)
1/Month
0.4
Flexibility_gain
Flexibility_loss
Dimensionless
Flexibility_gain_rate * (1 - Cognitive_Flexibility)
1/Month
((Professional_Network_Connections/INIT(Professional_Network_Connections))^1)* ((Commercialization_Readiness/INIT(Commercialization_Readiness)^1))
Dimensionless
0.2 +
0.3 * Customer_Insights +
0.2 * Commercialization_Readiness +
0.1 * Translational_skills
Dimensionless
0.03 * Opportunities * IP3_Team_based_learning
1/Month
0.03 * "Customer_discovery_(through_interviews)" * (1 + 0.3 * Career_confidence)
1/Month
0.01
1/Month
0.2 +
0.8 * Career_confidence * Professional_Network_Connections * IP4_Customer_discovery_interviews
Dimensionless
Intellectual_Humility
Dimensionless
0.05 *
"Customer_discovery_(through_interviews)" *
Interview_effectiveness *
(1 + 0.5 * Career_confidence)
1/Month
0.01
1/Month
0.8 * Disconforming_Evidence * IP1c_Moving_from_expert_to_novice_mindset
1/Month
0.5 * Disconforming_Evidence * "IP2_Pedagogy/Instruction_method"
1/Month
IF Disconforming_Evidence >= Disconforming_evidence_threshold
THEN (Disconforming_Evidence / MAX(0.01, INIT(Disconforming_Evidence)))
ELSE 1
Dimensionless
0.8/IP1a_Moving_from_expert_to_novice_mindset
Dimensionless
0.01
Rise_in_disconforming_evidence
Decline_in_disconforming_evidence
Dimensionless
Rise_rate_in_disconforming_evidence *
"Customer_discovery_(through_interviews)" *
(1 - Assumption_Validity) *
Interview_effectiveness
1/Month
(1-Disconforming_Evidence)*Disconforming_Evidence*Decline_rate_in_disconforming_evidence
1/Month
0.01
1/Month
0.01
1/Month
(1-Customer_Insights)*Customer_Insights*Insigh_loss_rate
1/Month
0.01
1/Month
Intellectual_Humility * Humility_loss_rate
1/Month
0.01
1/Month
0.01
1/Month
(1-Commercialization_Readiness)*Commercialization_Readiness*Readiness_decay_rate
1/Month
Cognitive_Flexibility * Flexibility_loss_rate
1/Month
0.01
1/Month
Translational_skills * Skill_erosion_rate
1/Months
0.01
1/Month
0.3
Change_in_assumption_validity
Dimensionless
0.5*Pivot_reorientation
Dimensionless
(1-Assumption_Validity)*(Desired_assumption_validity-Assumption_Validity)*Adjustment_rate
1/Months
0.1*IP1b_Moving_from_expert_to_novice_mindset
1/Months
The intervention point (IP) is modeled as a step function that starts at T1 with the intervention being withdrawn at T2. A value of 1 has no effect, 1.5 an increase of 50% and 0.5 a decrease of 50%.
1 +
STEP(ES1a, T1) -
STEP(ES1a, T2)
Dimensionless
Effect size (ES) of intervention representing a proportional change in improvement where 0 is no effect, 0.5 is a 50% increase in the desired direction.
0.2
Dimensionless
Start of intervention in years. Default is start time + 5 years allowing for a baseline period with the model in dynamic equilibrium.
STARTTIME + 6
Months
End of intervention. Default is end of simulation.
STARTTIME + 8
Months
The intervention point (IP) is modeled as a step function that starts at T1 with the intervention being withdrawn at T2. A value of 1 has no effect, 1.5 an increase of 50% and 0.5 a decrease of 50%.
1 +
STEP(ES1b, T1) -
STEP(ES1b, T2)
1/Month
Effect size (ES) of intervention representing a proportional change in improvement where 0 is no effect, 0.5 is a 50% increase in the desired direction.
0.3
1/Month
The intervention point (IP) is modeled as a step function that starts at T1 with the intervention being withdrawn at T2. A value of 1 has no effect, 1.5 an increase of 50% and 0.5 a decrease of 50%.
1 +
STEP(ES1c, T1) -
STEP(ES1c, T2)
1/Month
Effect size (ES) of intervention representing a proportional change in improvement where 0 is no effect, 0.5 is a 50% increase in the desired direction.
0.5
1/Month
The intervention point (IP) is modeled as a step function that starts at T1 with the intervention being withdrawn at T2. A value of 1 has no effect, 1.5 an increase of 50% and 0.5 a decrease of 50%.
1 +
STEP(ES2, T1) -
STEP(ES2, T2)
1/Month
Effect size (ES) of intervention representing a proportional change in improvement where 0 is no effect, 0.5 is a 50% increase in the desired direction.
0.3
1/Month
The intervention point (IP) is modeled as a step function that starts at T1 with the intervention being withdrawn at T2. A value of 1 has no effect, 1.5 an increase of 50% and 0.5 a decrease of 50%.
1 +
STEP(ES3, T1) -
STEP(ES3, T2)
1/Month
Effect size (ES) of intervention representing a proportional change in improvement where 0 is no effect, 0.5 is a 50% increase in the desired direction.
0.4
1/Month
The intervention point (IP) is modeled as a step function that starts at T1 with the intervention being withdrawn at T2. A value of 1 has no effect, 1.5 an increase of 50% and 0.5 a decrease of 50%.
1 +
STEP(ES4, T1) -
STEP(ES4, T2)
Dimensionless
Effect size (ES) of intervention representing a proportional change in improvement where 0 is no effect, 0.5 is a 50% increase in the desired direction.
1.0
Dimensionless
Translational_skills
Skill_development
Professional_Network_Connections
Opportunities
Commercialization_Readiness
Opportunities
Customer_Insights
Career_confidence
Commercialization_Readiness
Career_confidence
Translational_skills
Career_confidence
Professional_Network_Connections
Network_growth
Professional_Network_Connections
Network_decay
Network_decay_rate
Network_decay
Customer_Insights
Insight_gain
Career_confidence
"Customer_discovery_(through_interviews)"
Professional_Network_Connections
"Customer_discovery_(through_interviews)"
Intellectual_Humility
Interview_effectiveness
Commercialization_Readiness
Readiness_growth
Intellectual_Humility
Humility_gain
Cognitive_Flexibility
Flexibility_gain
Disconforming_evidence_threshold
Pivot_reorientation
Disconforming_Evidence
Decline_in_disconforming_evidence
Disconforming_Evidence
Pivot_reorientation
Customer_Insights
Insight_loss
Insigh_loss_rate
Insight_loss
Intellectual_Humility
Humility_loss
Humility_loss_rate
Humility_loss
Readiness_decay_rate
Readiness_decay
Commercialization_Readiness
Readiness_decay
Humility_gain_rate
Humility_gain
Decline_rate_in_disconforming_evidence
Decline_in_disconforming_evidence
"Customer_discovery_(through_interviews)"
Rise_in_disconforming_evidence
Rise_rate_in_disconforming_evidence
Rise_in_disconforming_evidence
"Customer_discovery_(through_interviews)"
Insight_gain_rate
Interview_effectiveness
Insight_gain_rate
Insight_gain_rate
Insight_gain
Career_confidence
Network_growth_rate
Network_growth_rate
Network_growth
Opportunities
Skill_development_rate
Skill_development_rate
Skill_development
Customer_Insights
Readiness_growth
Cognitive_Flexibility
Readiness_growth
Translational_skills
Readiness_growth
Readiness_growth_rate
Readiness_growth
Flexibility_gain_rate
Flexibility_gain
Cognitive_Flexibility
Flexibility_loss
Flexibility_loss_rate
Flexibility_loss
Translational_skills
Skill_erosion
Skill_erosion_rate
Skill_erosion
Career_confidence
Insight_gain_rate
Pivot_reorientation
Desired_assumption_validity
Desired_assumption_validity
Change_in_assumption_validity
Adjustment_rate
Change_in_assumption_validity
Assumption_Validity
Change_in_assumption_validity
ES1a
IP1a_Moving_from_expert_to_novice_mindset
T1
IP1a_Moving_from_expert_to_novice_mindset
T2
IP1a_Moving_from_expert_to_novice_mindset
Disconforming_evidence_threshold
Adjustment_rate
ES1b
IP1b_Moving_from_expert_to_novice_mindset
IP1b_Moving_from_expert_to_novice_mindset
IP1b_Moving_from_expert_to_novice_mindset
ES1c
IP1c_Moving_from_expert_to_novice_mindset
IP1c_Moving_from_expert_to_novice_mindset
IP1c_Moving_from_expert_to_novice_mindset
Humility_gain_rate
ES2
"IP2_Pedagogy/Instruction_method"
"IP2_Pedagogy/Instruction_method"
"IP2_Pedagogy/Instruction_method"
Flexibility_gain_rate
ES3
IP3_Team_based_learning
IP3_Team_based_learning
IP3_Team_based_learning
Skill_development_rate
ES4
IP4_Customer_discovery_interviews
"Customer_discovery_(through_interviews)"
IP4_Customer_discovery_interviews
IP4_Customer_discovery_interviews
Rise_in_disconforming_evidence
Humility_gain_rate
Assumption_Validity
Rise_in_disconforming_evidence
Flexibility_gain_rate
"Customer_discovery_(through_interviews)"
Network_growth_rate
IP1a_Moving_from_expert_to_novice_mindset
IP1b_Moving_from_expert_to_novice_mindset
T2
T1
T2
T1
IP1c_Moving_from_expert_to_novice_mindset
T2
T1
"IP2_Pedagogy/Instruction_method"
T2
T1
IP3_Team_based_learning
IP4_Customer_discovery_interviews
T1
T2
Interview_effectiveness
Disconforming_Evidence
Disconforming_Evidence