ECO / DISCIPLINE
Economic Research
How scarcity, incentives, exchange and opportunity cost shape decisions and systems.
Supply & DemandScarcityIncentivesOpportunity CostGame Theory
TQS / RESEARCH
Research
Different disciplines. One method: observe carefully, question assumptions, test evidence and remain willing to be wrong.
Research Philosophy
Relevance before volume.
Information becomes useful only in relation to a question. The Quant Society separates data, observation, hypothesis, evidence, model output and interpretation so that confidence never outruns what the evidence can support. Research is versioned because understanding can change.
MAC / DISCIPLINE
Macroeconomics
Monetary systems, global liquidity, credit, inflation, rates, currencies and economic cycles.
LiquidityRatesInflationCreditCentral Banks
QNT / DISCIPLINE
Quantitative Finance
Formal approaches to uncertainty, portfolio construction, risk and financial decision-making.
ProbabilityVaRMonte CarloPortfolio TheoryVolatility
DAT / DISCIPLINE
Data Science
Turning observations into testable evidence through statistics, time series and model validation.
StatisticsRegressionTime SeriesForecastingValidation
BEH / DISCIPLINE
Behavioral Science
How perception, attention, bias, emotion and uncertainty influence human decisions.
Decision TheoryBiasReflexivityRisk PerceptionAttention
AIS / DISCIPLINE
Intelligence Systems
Research into artificial intelligence, robotics, autonomous systems and quantum computing.
AIRoboticsAutonomyQuantum ComputingEmbedded Systems
ETH / DISCIPLINE
Ethics & Society
The consequences of financial and technological systems for privacy, agency, power and society.
AI EthicsPrivacyHuman AgencyAutomationPower
FTR / DISCIPLINE
Futures Research
Scenario-based inquiry into structural questions whose outcomes remain deeply uncertain.
BitcoinMoneyAIWorkDigital Scarcity
Research Registry
Current work
MKT-014
Understanding Market Efficiency Across Timeframes
Market Intelligence
draft
AIS-003
The Future of Artificial Intelligence
Intelligence Systems
draft
TQS Research Framework / v0.1
From reality to feedback.
This is a working epistemic framework, not a claim that every research question follows a perfectly linear path.
RealityObservationDataRelevanceContextQuestionHypothesisEvidenceFalsificationModelInterpretationUnderstandingDecisionOutcomeFeedback