USP’s Environmental Policy in the SDGs Approach
423
Table 3 (continued)
Title
Description
PP16-mobility—hydrogen bus, at CUASO
PP17-sustainability indicator platform, on
São Carlos campus
Participation in the project developed by the
Research Center for Gas Innovation that will allow
research on sustainable mobility effectiveness
throughout the creation of a public transport line of
hydrogen powered buses, linking the cities of São
Paulo and São Bernardo do Campo
Research project for the development of a
sustainability indicator applicable to USP
campuses. The data analysis will help to build
more efficient and sustainable management tools,
and use of a replicable methodology among the
other campuses and units
Source Lemos et al. (2018)
In this study, we have bipartite networks (Barber 2007), which means there are
two types of non-connected “Nodes”, and, therefore, they are represented by Type 1,
configured as the 11 EP/USP thematic areas and the 17 PPs, and Type 2, represented
by the 17 SDGs. The “Edges” represent a connection between Type 1 and Type 2
“Nodes”, which was defined based on the thematic overlap between the EP/USP
thematic areas and the listed SDGs.
4 Results and Discussion
The alignment proposed between EP/USP themes and the objectives guided by the
Agenda 2030 was informed by the experts indicated consensus (Table 1), and it has
shown that all 11 policy thematic areas present at least one thematic adherence with
SDG (Fig. 1).
The results are shown in graphs, where the EP and the SDGs nodes are represented
in Fig. 1, and the SDGs and PPs nodes are observed in Fig. 2. The nodes size represents
the ‘level of association’ or the ‘association number’ the themes have with each of
the SDGs, and the color represents the node type or node cluster.
The networks were subjected to modeling by the Hu (2005) and Force Atlas 2
(Jacomy et al. 2014) algorithms both available on the software, such algorithms act
similarly to a gravitational system, in which the nodes are repelled or attracted by
the strength of their connections (ties).The resulting graphs were adjusted (colored
and resized) to improve visualization. The different colors represent the network
bipartition, as the thematic association was made between SDGs and EP, and not
between nodes of the same group.
It is noteworthy that the thematic areas with the greatest connection number are
Sustainability in Administration, Fauna Management and Environmental Education
(Fig. 1). Concerning Sustainability in Administration, the greatest alignment can be
423
Table 3 (continued)
Title
Description
PP16-mobility—hydrogen bus, at CUASO
PP17-sustainability indicator platform, on
São Carlos campus
Participation in the project developed by the
Research Center for Gas Innovation that will allow
research on sustainable mobility effectiveness
throughout the creation of a public transport line of
hydrogen powered buses, linking the cities of São
Paulo and São Bernardo do Campo
Research project for the development of a
sustainability indicator applicable to USP
campuses. The data analysis will help to build
more efficient and sustainable management tools,
and use of a replicable methodology among the
other campuses and units
Source Lemos et al. (2018)
In this study, we have bipartite networks (Barber 2007), which means there are
two types of non-connected “Nodes”, and, therefore, they are represented by Type 1,
configured as the 11 EP/USP thematic areas and the 17 PPs, and Type 2, represented
by the 17 SDGs. The “Edges” represent a connection between Type 1 and Type 2
“Nodes”, which was defined based on the thematic overlap between the EP/USP
thematic areas and the listed SDGs.
4 Results and Discussion
The alignment proposed between EP/USP themes and the objectives guided by the
Agenda 2030 was informed by the experts indicated consensus (Table 1), and it has
shown that all 11 policy thematic areas present at least one thematic adherence with
SDG (Fig. 1).
The results are shown in graphs, where the EP and the SDGs nodes are represented
in Fig. 1, and the SDGs and PPs nodes are observed in Fig. 2. The nodes size represents
the ‘level of association’ or the ‘association number’ the themes have with each of
the SDGs, and the color represents the node type or node cluster.
The networks were subjected to modeling by the Hu (2005) and Force Atlas 2
(Jacomy et al. 2014) algorithms both available on the software, such algorithms act
similarly to a gravitational system, in which the nodes are repelled or attracted by
the strength of their connections (ties).The resulting graphs were adjusted (colored
and resized) to improve visualization. The different colors represent the network
bipartition, as the thematic association was made between SDGs and EP, and not
between nodes of the same group.
It is noteworthy that the thematic areas with the greatest connection number are
Sustainability in Administration, Fauna Management and Environmental Education
(Fig. 1). Concerning Sustainability in Administration, the greatest alignment can be