scholarly journals “Visualization” of SDGs-related Patent Technologies by Natural Language Processing Technology

2021 ◽  
Vol 7 (3) ◽  
pp. 53
Author(s):  
Yoshiaki MAEHARA ◽  
Atsushi KUKU ◽  
Yoshiyuki OSABE

SDGs is an abbreviation for “Sustainable Development Goals”, which were adopted at the United Nations Sustainable Development Summit in September 2015. They were set as goals to be achieved by the 193 United Nations Member States during the 15-year period from 2016 to 2030. Technological innovation is indispensable for the realization of the SDGs, but at present, it is unclear where (countries and companies) and to what extent SDG-related technologies are available. For this reason, we used BERT, a natural language processing technology, and Japanese patent publications we own and worked on the "visualization" of the SDGs technologies in Japan. The results show that out of the 17 SDGs goals, patents can contribute to Goals 2, 3, 6, 7, 9 and 11.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Thomas Bryan Smith ◽  
Raffaele Vacca ◽  
Luca Mantegazza ◽  
Ilaria Capua

AbstractThe United Nations’ (UN) Sustainable Development Goals (SDGs) are heterogeneous and interdependent, comprising 169 targets and 231 indicators of sustainable development in such diverse areas as health, the environment, and human rights. Existing efforts to map relationships among SDGs are either theoretical investigations of sustainability concepts, or empirical analyses of development indicators and policy simulations. We present an alternative approach, which describes and quantifies the complex network of SDG interdependencies by applying computational methods to policy and scientific documents. Methods of Natural Language Processing are used to measure overlaps in international policy discourse around SDGs, as represented by the corpus of all existing UN progress reports about each goal (N = 85 reports). We then examine if SDG interdependencies emerging from UN discourse are reflected in patterns of integration and collaboration in SDG-related science, by analyzing data on all scientific articles addressing relevant SDGs in the past two decades (N = 779,901 articles). Results identify a strong discursive divide between environmental goals and all other SDGs, and unexpected interdependencies between SDGs in different areas. While UN discourse partially aligns with integration patterns in SDG-related science, important differences are also observed between priorities emerging in UN and global scientific discourse. We discuss implications and insights for scientific research and policy on sustainable development after COVID-19.


2021 ◽  
Author(s):  
Miguel A Del-Pino ◽  
Arezo Bodaghi ◽  
Pierre Watine ◽  
Ketra Schmitt

Twitter data related to poverty and basic income was collected for 24 days in 2019, and then was cleaned and prepared for natural language processing. A 7 % subset of the data was manually labeled for sentiment analysis in order to inform the artificial intelligence (AI), which was trained and verified on this subset. We present the results for both the 7 % verification sample and the entire database. This analysis of public opinion on poverty is situated within the Sustainable Development Goals and the support for poverty reduction policies.


2020 ◽  
Vol 252 ◽  
pp. 119574 ◽  
Author(s):  
Biagio F. Giannetti ◽  
Feni Agostinho ◽  
Cecília M.V.B. Almeida ◽  
Gengyuan Liu ◽  
Luis E.V. Contreras ◽  
...  

2021 ◽  
Vol 13 (11) ◽  
pp. 6382
Author(s):  
Harald Heinrichs ◽  
Norman Laws

The 2030 Agenda for Sustainable Development, with its 17 Sustainable Development Goals (SDGs), was agreed upon by 193 member states of the United Nations in September 2015 [...]


2021 ◽  
Vol 13 (2) ◽  
pp. 843
Author(s):  
Olle Torpman ◽  
Helena Röcklinsberg

The United Nations Agenda 2030 contains 17 sustainable development goals (SDGs). These goals are formulated in anthropocentric terms, meaning that they are to be achieved for the sake of humans. As such, the SDGs are neglecting the interests and welfare of non-human animals. Our aim in this paper was to ethically evaluate the assumptions that underlie the current anthropocentric stance of the SDGs. We argue that there are no good reasons to uphold these assumptions, and that the SDGs should therefore be reconsidered so that they take non-human animals into direct consideration. This has some interesting implications for how we should understand and fulfil the pursuit of sustainability in general. Most noticeably, several SDGs—such as those regarding zero hunger (SDG 2), good health and wellbeing (SDG 3), clean water and sanitation (SDG 6)—should be achieved for animals as well. Moreover, the measures we undertake in order to achieve the SDGs for humans must also take into direct account their effects on non-human animals.


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