Accelerating Financial Inclusion in Cambodia Using Artificial Intelligence & Machine Learning

2020 ◽  
Vol 11 (12) ◽  
pp. 79-88
Author(s):  
Anil K. Makhija

Promoting prosperity and protecting the planet at the same time requires us to end poverty and simultaneously promote economic growth and address social needs. This is also reflected in the form of 17 sustainable development goals agenda set by United Nations. Financial inclusion has been identified as an enabler for 7 out of those 17 sustainable development goals. Financial inclusion requires I\individuals and businesses to have access and ability to do financial transactions, payments, get credit and insurance.

2021 ◽  
Author(s):  
Guilherme Souza ◽  
Julian Santos ◽  
Gabriel SantClair ◽  
Janaina Gomide ◽  
Luan Santos

The Sustainable Development Goals (SDGs) are part of a global effort to reduce the impacts of climate change, promoting social justice and economic growth. The United Nations provides a database with hundreds of indicators to track the SDGs since 2016 for a total of 302 regions. This work aims to assess which countries are in a similar situation regarding sustainable development. Principal Component Analysis was used to reduce the dimension of the dataset and k-means algorithm was used to cluster countries according to their SDGs indicators. For the years of 2016, 2017 and 2018 were obtained 11, 13 and 11 groups, respectively. This paper also analyses clusters changes throughout the years.


2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Hoe-Han Goh ◽  
Ricardo Vinuesa

AbstractArtificial intelligence is producing a revolution with increasing impacts on the people, planet, and prosperity. This perspective illustrates some of the AI applications that can accelerate the achievement of the United Nations Sustainable Development Goals (SDGs) and highlights some of the considerations that could hinder the efforts towards them. In this context, we strongly support the development of an 18thSDG on digital technologies. This emphasizes the importance of establishing standard AI guidelines and regulations for the beneficial applications of AI. Such regulations should focus on concrete applications of AI, rather than generally on AI technology, to facilitate both AI development and enforceability of legal implications.


Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8393
Author(s):  
Jim Philp

Schism is the new normal for the bioeconomy concept. Since its proliferation in governments, the concept has been adapted to fit national or regional exigencies. Earlier this century the knowledge-based bioeconomy (KBBE) in Europe was seen as a technical and knowledge fix in the evolving sustainability landscape. At the OECD, the concept was further honed by imagining a future where biotechnologies contribute significantly to economic growth and development. Countries started to make national bioeconomy strategies. Some countries have diverged and made the bioeconomy both much larger and more general, involving a wide variety of sectors, such as industry, energy, healthcare, agriculture, aquaculture, forestry and fishing. Whatever the approach, what seems to be consistent is the need to reconcile environmental, social and economic sustainability. This paper attempts to establish one schism that could have ramifications for the future development of the bioeconomy. Some countries, including some of the largest economies but not exclusively so, are clearly following a biotechnology model, whereas others are clearly not. In the wake of the COVID-19 pandemic, biotechnologies offer outstanding potential in healthcare, although this sector is by no means included in all bioeconomy strategies. The paper also attempts to clarify how biotechnologies can address the grand challenges and the United Nations Sustainable Development Goals. The communities of scientists seem to have no difficulty with this, but citizens and governments find it more difficult. In fact, some biotechnologies are already well established, whereas others are emerging and more controversial.


Author(s):  
Tania Garcia Sedano

The Agenda for development for after 2015 was approved by the General Assembly of the United Nations and within it the 17 Sustainable Development Goals are included. The eighth objective of sustainable development has as its headline: «Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all». The reverse of decent work is represented by forced labor. Forced labor is a flagrant violation of human rights and in many cases a crime. Thus, it is necessary to approach this phenomenon to diagnose its incidence in our societies and adopt whatever measures are necessary to put an end to this execrable phenomenon.


2019 ◽  
Vol 3 (6) ◽  
pp. 741-746
Author(s):  
Jerome Amir Singh

Artificial Intelligence (AI) offers unprecedented opportunities and challenges for humanity. If AI can be positioned and leveraged correctly, it can rapidly accelerate progress on achieving the United Nations’ Sustainable Development Goals (SDGs), including SDG #3: ‘Ensure healthy lives and promote wellbeing for all at all ages’. Achieving this goal could have a transformative impact on global health. An ethical, transparent and responsible approach to AI development will result in AI translating data into contextually relevant knowledge, conclusions, and impactful actions.


2021 ◽  
Vol 5 (1) ◽  
pp. 155-182
Author(s):  
Nur Frita ◽  
Ikhwan Hamdani  ◽  
Abrista Devi

The uneven financial literacy of the Indonesian people indicates that there are people who have not been able to use the services of Islamic financial institutions, both financing and deposits at Islamic banks. The quality of infrastructure is still relatively poor so that the Sustainable Development Goals (SDGs) have not been created. This study aims to determine the effect of financial inclusion on economic growth, the influence of Islamic banks on economic growth, the effect of financial inclusion on infrastructure, and the influence of Islamic banks on infrastructure. This study uses associative quantitative research, using Financial Inclusion variables (Islamic Bank Third Party Funds) and Islamic Bank variables (Islamic Banking Financing) to find out whether there is an effect of these variables on the dependent variable, namely Economic Growth (GRDP) and National Infrastructure (Length). Streets). The data collected is secondary data and time series data. In this study using panel data regression method which is processed using Eviews 9. The findings of this study are that Financial Inclusion does not have a significant effect on Economic Growth, Financial Inclusion has a significant and positive effect on National Infrastructure, Islamic Banks do not have a significant influence on Economic Growth, and Islamic Banks do not have a significant influence on National Infrastructure. In the variables of Financial Inclusion, Islamic Banks, Economic Growth and National Infrastructure, it is recommended to use other, more varied indicators so that we can all reach how far the inclusiveness of Islamic finance in Indonesia. And, be more focused and can have a positive impact on the SDGs program broadly for the national and international community.  Keywords: Financial Inclusion, Islamic Banks, Economic Growth, National Infrastructure, Sustainable Development Goals (SDGs).


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