This paper discusses the importance of research design and indicators’ selection to facilitate the assessment of the Sustainable Development Goals (SDGs). From this perspective, it feeds the discussion on the need of relevant indicators for monitoring SDGs. It provides a starting point of what can be done to strengthen the scientific underpinning of sustainability indicators. It leverages on findings of authors’ previous empirical studies on SDG indicators and composite indexes. These studies call for some shifts in the SGDs agenda in order to avoid the great risk to misallocate development investments. The first shift derives from the incompatibilities of some SGDs indicators. In particular, trade-offs occur across SDGs: progress on one the economic pillar cannot fully offset lack of progress on another (e.g. rising environmental degradation). This misalignment can be explained referring to the level of analysis of sustainability: part of the problem is that sustainability cannot be addressed solely at the national level as complex interactions among political and governmental levels in complex nested subsystems affect it. This implies a reframing of the SDG framework and a conceptualization of it at a local level to make it more locally relevant. Thus, the paper discusses the potential of big data (spatial information inherent in earth observational data, satellite data, mobile and social media data, etc.) to supplement traditional indicators

Big data to support Sustainable Development Goals (SDGs)

Angela Delli Paoli
;
Felice Addeo
2020

Abstract

This paper discusses the importance of research design and indicators’ selection to facilitate the assessment of the Sustainable Development Goals (SDGs). From this perspective, it feeds the discussion on the need of relevant indicators for monitoring SDGs. It provides a starting point of what can be done to strengthen the scientific underpinning of sustainability indicators. It leverages on findings of authors’ previous empirical studies on SDG indicators and composite indexes. These studies call for some shifts in the SGDs agenda in order to avoid the great risk to misallocate development investments. The first shift derives from the incompatibilities of some SGDs indicators. In particular, trade-offs occur across SDGs: progress on one the economic pillar cannot fully offset lack of progress on another (e.g. rising environmental degradation). This misalignment can be explained referring to the level of analysis of sustainability: part of the problem is that sustainability cannot be addressed solely at the national level as complex interactions among political and governmental levels in complex nested subsystems affect it. This implies a reframing of the SDG framework and a conceptualization of it at a local level to make it more locally relevant. Thus, the paper discusses the potential of big data (spatial information inherent in earth observational data, satellite data, mobile and social media data, etc.) to supplement traditional indicators
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4752771
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact