Although Quantum Chromodynamics (QCD) is the acclaimed theory of the strong interactions,
important longstanding questions still remain to be answered
on the nature of confinement of quarks and gluons inside the proton, and
on their dynamical contribution to the proton's mass and spin.
Deeply Virtual Compton Scattering (DVCS) and Exclusive Meson Production
provide alternative tools to purely inclusive reactions that have significantly
improved our studies of hadronic structure.
By allowing for an additional momentum transfer "t" to the proton
besides the large momentum transfered in the deep inelastic collision,
one can in principle
simultaneously access the longitudinal momentum fraction of the quarks
and their position inside the proton, providing 3D "images" of quarks in
The price one pays for the rich phenomenology accessible through DVCS
is a dramatic increase in complexity, due to the enlarged phase space
one needs to cover. A new approach is being developed based on Self-Organizing
Maps (SOMs), broadly related to Neural Networks, that allows for
extensive parameter searches and enables the user to directly control the data
selection procedure. Finally, among a wide range of recently studied implications,
the SOMs models are connected to complexity theory, leading to the
possibility of studying emergent behaviors in the system's properties.