BUS373 Big Data for Socioeconomic Issues SUSS Assignment Sample Singapore

BUS373 Big Data for Socioeconomic Issues (SUSS) is a course offered at SUSS. The objective of this paper is to develop an understanding of big data and its impact on socio-economic issues in Singapore. In order to achieve the objectives, the paper will use various analytical tools including big data simulation, machine learning and artificial intelligence (AI).

Big data is a large collection of data that has been organized in an efficient, coherent way. By understanding the big data, we can better understand how society and businesses are performing and identify areas where more work needs to be done.

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BUS373 Big Data for Socioeconomic Issues course is about data collection, analysis and interpretation for socioeconomic issues. The objective of this course is to develop an understanding of economic development in Singapore through the use of big data tools.

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Assignment Brief 1: Examine social mobility issues using quantitative data

Social mobility is the process by which people move from one social group to another. It is a natural and essential part of human development, and it can play an important role in society. However, social Mobility issues are often caused by factors such as poverty, lack of opportunity, discrimination, and violence.

A study of social mobility issues can provide valuable insights into the causes and effects of social mobility. Quantitative data can be used to identify trends, patterns, and relationships between factors that affect social Mobility. This information can then be used to develop strategies for improving the quality of life for people who are affected by social Mobility problems.

Assignment Brief 2: Discuss factors that are associated with income inequality

Income inequality is a problem that exists in many countries. It refers to the difference between the incomes of different groups of people, typically individuals and businesses. Income inequality can exist in societies where there are few or no barriers to entry for those who want to work hard and achieve high levels of success, and where wages are relatively low compared with other income categories. Alternatively, income inequality can be present when some people have very high incomes while others do not.

Income inequality is a major issue in the world today. It has been reported that income and wealth disparities are growing more extreme every year, with richer people holding a bigger share of global economic power than ever before. This suggests that while societies may be improving in many ways, they still have some way to go before they reach full potential as equal-opportunity democracies.

Assignment Brief 3: Assess factors associated with happiness and life satisfaction using World Value Survey

The World Value Survey is a global survey that measures the various factors associated with happiness and life satisfaction, including economic indicators, social media use, health conditions such as obesity or heart disease, and cultural values. The survey was first conducted in 2006 and has been updated every five years since then.

This survey of over 1,500 people in more than 60 countries measures how important different life factors are to them. The aim of this study is to provide a global perspective on happiness and life satisfaction, as well as identify factors that are associated with them. The survey was conducted in 123 countries from 2006-2013. The data collection methods were face-to-face interviews, online surveys, and questionnaires sent to a representative sample of the population.

Assignment Brief 4: Appraise the relationship between energy, environment and economic development using data from the World Bank

For centuries, people have known about the power of energy. It’s through this understanding that we’ve been able to create and maintain our civilizations. Our ability to use energy for economic development has depended on a number of factors, including natural resources, transportation infrastructure, and technology.

The World Bank is committed to helping countries develop their economies so they can benefit from the benefits of energy while protecting the environment. In order to do this effectively, the World Bank collects data on different aspects of economic growth—from land usage and production levels to trade flows—in order to help identify opportunities for improvement in these areas as well as contribute towards sustainable growth.

Assignment Brief 5: Employ existing survey data to critique policies addressing the issue of population ageing

In order to improve the quality and effectiveness of policies that address population ageing, it is necessary to understand the various factors contributing to this issue. By using existing survey data, policymakers can identify which areas are most important for addressing population ageing in a way that leads to increased social security benefits for both old and new retirees. They can also develop policy recommendations on how best to encourage people who are already over age 65 years old to stay engaged in the labour force longer and SUPPORT younger generations as they enter or leave the workforce.

Employing survey data can be helpful in critiquing policies that might address the issue of population ageing. Surveys are valuable tools for informing government and non-governmental organizations (NGOs) about the social, economic, medical, and environmental factors that influence elderly people’s wellbeing. By understanding how these groups operate within a given community or country, policymakers may better appreciate older adults’ needs and opportunities as well as identify potential solutions to their problems.

Assignment Brief 6: Show an understanding of both positive and negative effects of technological innovations

As the technology industries continue to develop and expand, it is important for businesses and individuals to understand both the positive and negative effects of technological innovations. While some new technologies can be utilized in a positive way, such as providing people with new ways to connect with each other or increasing communication efficiency, other technologies have the potential to cause great harm.

For example, many people are now using smartphones that allow them to access large amounts of information quickly and easily. However, this digital age has also brought about a growing trend of cyberbullying—a type of online social networking where teenagers use technology to bully others into silence.

Assignment Brief 7: Apply big data to evaluate current social and economic issues

In order to make informed decisions about the future, it is important to have a clear understanding of how social and economic issues are related. In order to do this, large-scale data must be collected in an accurate manner so that we can get a complete picture. This has been done through various forms of research such as enabled by big data technology, businesses now have access to vast amounts of detailed information that can help them analyze current social and economic conditions more accurately than ever before.

By analyzing this data, businesses are able to identify patterns and trends that could lead us closer or further away from solutions while also helping us understand why some aspects of the market are becoming more divisive and others are stabilizing or declining over time.

Assignment Brief 8: Design a research study to assess determinants of the social and economic issues

The research study will assess the determinants of social and economic issues in order to provide policymakers with a better understanding of the factors that influence these topics. The objectives of this study are to:

(1) identify any specific factors that could be associated with increases or decreases in poverty, child malnutrition, and lack of education;

(2) understand how different regions have unique susceptibilities to certain social and economic problems;

(3) develop recommendations for improving the socio-economic conditions of selected priority groups within each region; and

(4) examine whether there is a correlation between changes in neighbourhood composition, income levels, educational attainment level, job status etc.

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