# The Soundscape Hackathon as a Methodology to Accelerate Co-Creation of the Urban Public Space
## 3 The Soundscape Hackathon Event
### Urban Soundscape Data Set  
The dataset provided to the teams consisted of a selection of audiovisual recordings, collected within the framework of the Urban Soundscapes of the World (USW) project [12]. The aim of the USW project is to set the scope for a standard on immersive recording and reproduction of urban acoustic environments with soundscape in mind. In this process, a series of documented immersive audiovisual recordings at a range of locations in cities worldwide are collected. The reference database is designed to contain good as well as bad examples of urban acoustic environments, and to support the further introduction of urban soundscape design in education and practice. For a recording from this database to be selected for the hackathon, a reasonably good visual scene has to be available, with a soundscape that could have been better and that leaves room for optimization. Attention was paid to the purpose of the space, the number of people and the sounds present in the scene, and possible salient events that occurred during the recording. In total, eight 3-min recordings were selected, each one performed within a different city. For each of the eight recordings, separate but time-synchronized audio and video files were provided to the hackathon participants. The audio files were recorded with a Core Sound Tetramic first-order ambisonics microphone (including windscreen) and a Tascam DR680 MKII recorder, and were provided as 4-channel 24-bit PCM ambiX files (ACN channel ordering, SN3D normalization) sampled at 48 kHz. Monoscopic 360\({}^{\circ}\) video files were recorded with a GoPro Omni, and were provided as equirectangular H264 encoded movies with 4096 \(\times\) 2048 resolution and a frame rate of 29.97 fps. Table 2 gives an overview of the recording locations, including city, country and coordinates. Figure 1 shows 360\({}^{\circ}\) images of the visual scene at the selected locations. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**ID**} & \multirow{2}{*}{**City (Country)**} & **Location** & **YouTube Preview** \\  & & **(Coordinates)** & **YouTube Preview** \\ \hline R0008 & Montreal (CA) & \begin{tabular}{c} McGill University Campus \\ (45.504202,\(-\)73.576833) \\ \end{tabular} & [[https://bit.ly/2](https://bit.ly/2) Nrj9 gu]([https://bit.ly/2](https://bit.ly/2) Nrj9 gu) \\ \hline R0018 & Boston (US) & \begin{tabular}{c} Rose Fitzgerald Kennedy greenway \\ (42.354721, \(-\)71.052073) \\ \end{tabular} & [[https://bit.ly/2](https://bit.ly/2) XyRU00]([https://bit.ly/2](https://bit.ly/2) XyRU00) \\ \hline R0032 & Tianjin (CN) & \begin{tabular}{c} Jinwan Plaza \\ (39.131835, 117.202969) \\ \end{tabular} & [[https://bit.ly/2](https://bit.ly/2) XeMdlZ]([https://bit.ly/2](https://bit.ly/2) XeMdlZ) \\ \hline R0043 & Hong Kong (HK) & \begin{tabular}{c} Signal Hill Garden \\ (22.296008, 114.174859) \\ \end{tabular} & [[https://bit.ly/2](https://bit.ly/2) YgrDYx]([https://bit.ly/2](https://bit.ly/2) YgrDYx) \\ \hline R0063 & Berlin (DE) & \begin{tabular}{c} Potsdamer Platz Campus \\ (52.509192, 13.376332) \\ \end{tabular} & [[https://bit.ly/2X9](https://bit.ly/2X9) NzYV]([https://bit.ly/2X9](https://bit.ly/2X9) NzYV) \\ \hline R0064 & New York (US) & \begin{tabular}{c} City Hall \\ (40.712014, \(-\)74.007495) \\ \end{tabular} & [[https://bit.ly/2](https://bit.ly/2) XEqj88]([https://bit.ly/2](https://bit.ly/2) XEqj88) \\ \hline R0092 & Chicago (US) & \
\begin{tabular}{c} River Walk - Arcade \\ (41.887138, \(-\)87.631663) \\ \end{tabular} & [[https://bit.ly/2](https://bit.ly/2) xcrVUy]([https://bit.ly/2](https://bit.ly/2) xcrVUy) \\ \hline AT01 & Antwerp (BE) &
\begin{tabular}{c} De Brouwerstraat \\ (51.197695, 4.421701) \\ \end{tabular} & [[https://bit.ly/2](https://bit.ly/2) Lt24 jD]([https://bit.ly/2](https://bit.ly/2) Lt24 jD) \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Overview of the recording locations.