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Context. The Kepler Object of Interest Network (KOINet) is a multi-sitenetwork of telescopes around the globe organised for follow-up observations oftransiting planet candidate Kepler objects of interest (KOIs) with largetransit timing variations (TTVs). The main goal of KOINet is the completion oftheir TTV curves as the Kepler telescope stopped observing the original Keplerfield in 2013.  Aims. We ensure a comprehensive characterisation of the investigated systemsby analysing Kepler data combined with new ground-based transit data using aphotodynamical model. This method is applied to the Kepler-82 system leading toits first dynamic analysis.  Methods. In order to provide a coherent description of all observationssimultaneously, we combine the numerical integration of the gravitationaldynamics of a system over the time span of observations with a transit lightcurve model. To explore the model parameter space, this photodynamical model iscoupled with a Markov chain Monte Carlo algorithm.  Results. The Kepler-82b/c system shows sinusoidal TTVs due to their near 2:1resonance dynamical interaction. An additional chopping effect in the TTVs ofKepler-82c hints to a further planet near the 3:2 or 3:1 resonance. Wephotodynamically analysed Kepler long- and short-cadence data and three newtransit observations obtained by KOINet between 2014 and 2018. Our resultreveals a non-transiting outer planet with a mass of$m_f=20.9\pm1.0\;M_\bigoplus$ near the 3:2 resonance to the outermost knownplanet, Kepler-82c. Furthermore, we determined the densities of planets b and cto the significantly more precise values $\rho_b=0.98_{-0.14}^{+0.10}\;\text{gcm}^{-3}$ and $\rho_c=0.494_{-0.077}^{+0.066}\;\text{g cm}^{-3}$.

Kepler Object of Interest Network III. Kepler-82f: A new non-transiting $21 M_\bigoplus$ planet from photodynamical modelling