  The JETSCAPE Collaboration reports a new determination of jet transport
coefficients in the Quark-Gluon Plasma, using both reconstructed jet and hadron
data measured at RHIC and the LHC. The JETSCAPE framework incorporates detailed
modeling of the dynamical evolution of the QGP; a multi-stage theoretical
approach to in-medium jet evolution and medium response; and Bayesian inference
for quantitative comparison of model calculations and data. The multi-stage
framework incorporates multiple models to cover a broad range in scale of the
in-medium parton shower evolution, with dynamical choice of model that depends
on the current virtuality or energy of the parton.
  We will discuss the physics of the multi-stage modeling, and then present a
new Bayesian analysis incorporating it. This analysis extends the recently
published JETSCAPE determination of the jet transport parameter $\hat{q}$ that
was based solely on inclusive hadron suppression data, by incorporating
reconstructed jet measurements of quenching. We explore the functional
dependence of jet transport coefficients on QGP temperature and jet energy and
virtuality, and report the consistency and tensions found for current jet
quenching modeling with hadron and reconstructed jet data over a wide range in
kinematics and $\sqrt{s_{\text{NN}}}$. This analysis represents the next step
in the program of comprehensive analysis of jet quenching phenomenology and its
constraint of properties of the QGP.
