Sample DATA4900 Innovation and Creativity in Business Analytics Assignment

DATA4900 Innovation and Creativity in Business Analytics Assignment Sample

Assessment Description

- This assessment is to be done individually.

- Students are to write a 2,000-word report using on Complexity Science principles and AI in business and submit it as a Microsoft word file via the Turnitin portal at the end of week 9.

- You will receive marks for content, appropriate structure and referencing.

In this assessment, you will be writing an individual report that encourages you to be creative with business analytics, whilst also developing a response to brief containing a “wicked problem”, to be addressed using Complexity Science principles and Artificial Intelligence.

Assessment Instructions

This assessment is set in the year 2023. Assessment Title- Report: Complexity Science and AI. Imagine that you are an expert in complexity science and manage staff using artificial intelligence. Land in your area has become scarce, however the populations is ever growing. There’s a housing shortage and also evolving demand for many types of services, such as childcare centres, public parks, shops and recreation centres, and car parking. You have been asked to write a report on

1. how this issue can be viewed in terms of complexity science

2. how artificial intelligence can be used in urban planning, re-developing and design of facilities and infrastructure.

Your report should have

- an introduction (250 words)

- a section discussing urban planning and design in the context of complexity science (600 words)

- a section on the role of artificial intelligence in business (100)

- a section on how artificial intelligence is being used in urban planning and design (600 words)

- a section recommending how artificial intelligence can be used in conjunction with complexity science in the future for urban planning and design (250 words)

- a summary (200 words)

- At least ten references in Harvard format

Solution

Introduction

The world is rapidly changing with the increasing population and land scarcity. It is becoming a challenge for urban planners and developers to design and redevelop the infrastructure for the growing population. The traditional methods of urban planning are no longer sufficient to meet the growing demand for various services. In order to address this issue, complexity science and artificial intelligence (AI) are increasingly being used to design and develop urban infrastructure.
Complexity science is an interdisciplinary field of study that focuses on the analysis of complex systems, including social, ecological, and technological systems, and seeks to identify patterns, trends, and correlations among the different components of a system. By understanding these patterns, trends, and correlations, complexity science can help urban planners and developers to better understand the needs of the population and the environment and to plan and design urban infrastructure accordingly.

AI is an emerging technology that is being used in a variety of industries and fields, including urban planning and design. AI is a powerful tool that can be used to develop intelligent systems that can automate tasks and make decisions based on data. This can help urban planners and developers to identify the needs of the population and the environment and to develop urban infrastructure that meets these needs.

In this report, the use of complexity science and AI in urban planning and design will be discussed for assignment help. The report will also explore the role of AI in businesses. Further, recommendations will also be provided about how AI can be used in conjunction with complexity science in the future for urban planning and design.
 

Urban Planning and Design in the Context of Complexity Science

Figure 1 Urban Planning Life Cycle
(Source: Moreira 2020)

The global population is expected to exceed 8 billion by 2050, and rise to about 9.5 billion by 2100. It is projected that nearly 1.5 billion people will live in megacities by 2030, up from 500 million in 1990. As per the 2030 Population Reference Bureau, China and India will account for more than 50% of the global population growth and will continue to exert great influence on the global population and its urbanization patterns. Urbanization also brings with it concerns over infrastructure development and management. Urbanization-related issues such as housing, transportation, environmental pollution, congestion, and general urban congestion are affecting the quality of life, as well as causing social and economic distress. This becomes more acute in megacities with a population of more than 10 million and rapid growth, such as London, Shanghai, or Guangzhou.

Urban planning and design are often associated with a range of complex issues, such as the distribution of resources, the planning of natural resources and ecosystems, and the design of governance systems and institutions, and society. These problems require the application of a range of specialized knowledge in urban planning, such as biology, mathematics, economics, physics, and engineering. The complex factors and underlying processes that interact with each other to produce these factors require highly developed knowledge of complex systems, and the application of advanced mathematical methods, such as graph theory and complexity theory. As a result, planning and designing megacities involves a significant degree of complexity (Ai Ain't disruptive: Complexity Science is! 2019).

Complexity science is a study of complex systems and their behaviour, with the goal of understanding how different elements interact with each other and how these interactions can affect the overall functioning of a system (Artificial Intelligence and Smart Cities 2018). In the context of urban planning and design, complexity science can be used to model and understand the behaviour of different elements within a city, such as traffic patterns, population density, and the environment.
The concept of complexity science, or complex adaptive systems (CAS), is based on the idea that complex systems can be better understood by studying their smaller components, and understanding how they interact with each other. This type of science is particularly applicable to urban planning and design, as cities and towns are composed of many different components that must work together in order to create a functioning, livable environment.

Complexity science can be used to analyse the needs of the population and the environment and to create models that can be used to plan and design urban infrastructure. For example, complexity science can be used to analyse traffic patterns and identify areas of inefficiency in the existing urban environment. This can help to optimize traffic flow and reduce congestion. Complexity science can also be used to identify population density trends, as well as anticipate changes in population density over time. This can help urban planners to plan for the future population growth of a city (Relationality 2019).

Complexity science can also be used to identify patterns and trends in urban data, as well as understand the dynamics of urban systems (NERC Open Research 2019). For example, in order to create a livable city, planners must consider how different services, such as childcare centres, public parks, and shops, interact with each other and with the environment. If one service is poorly designed or sited, it can have a negative impact on the other services and the environment. Additionally, complexity science recognizes that urban planning and design is an ongoing process, as the needs of a city or town can change over time. In order to keep up with these changes, planners must be able to quickly adapt to new demands and find creative solutions.

The Role of Artificial Intelligence in Business

AI is a field of computer science that focuses on giving machines the ability to learn and make decisions (Sustainable smart cities 2017). AI has numerous applications in the business world, such as predicting customer behaviour, automating tasks, and optimising processes. AI can also be used to improve customer service, as machines can be programmed to respond to customer queries and provide recommendations. AI can also be used to analyse large amounts of data to generate insights and identify trends which can help in automating business processes such as customer segmentation, customer analytics, and marketing campaigns (Coe-Edp 2021). This can help businesses to develop more effective strategies for targeting customers and improving customer service.
 

How Artificial Intelligence is used in Urban Planning & Design Now

Artificial intelligence (AI) technologies are advancing rapidly, and smart city development is widely viewed as an area of technological convergence and innovation. AI-based systems can be used to analyse data, identify patterns, and make decisions quickly and accurately. This can help urban planners and developers to identify the needs of the population and the environment and to develop urban infrastructure that meets these needs.

AI has a number of potential applications in urban planning and design. AI can be used to simulate and optimize different aspects of urban planning, such as traffic patterns, population density, and the environment. AI can also be used to identify patterns in urban data, such as traffic flow, to create more efficient and effective urban designs. AI can also be used to develop predictive models of potential urban developments, and to identify areas of risk in urban development projects (Moreira 2020). In addition, AI can be used to automate urban analysis and modelling processes (AI in Urban Planning 2021). AI-based systems can be used to create detailed simulations of cities and analyze the impact of different interventions on the urban environment.
Artificial Intelligence is being used in various areas of urban planning, namely:

1. Green Land Planning

Green land planning is related to the management and protection of land resources for human use. In the study, the participants were asked to look at ways of making their city greener.

2. Traffic Management

Traffic management is basically planning ways that can help manage traffic congestion. These include things like identifying possible bottlenecks in the road network and other ways to make a better traffic plan for the future.

3. Sustainability Planning

Sustainability is something that looks at the role that humans can play in making a city sustainable in a sustainable way. The study involved looking at how artificial intelligence can be used in helping planners develop a sustainable city.

4. Economic Determinism

This refers to the idea that an economic system drives all the changes in society. The study looked at how artificial intelligence can be used in improving the economic development in a city.

5. City Planning

This refers to the planning of where cities should go and the planning of the future of cities. The study looked at artificial intelligence applied to the planning of cities and other urban areas.

6. Smart City Design

This is related to the idea that urban areas can be made more efficient and safer using a mix of human and artificial intelligence. One of the advantages of a smart city design is that there's a greater integration between human and artificial intelligence to make sure that their work is more efficient (Yigitcanlar et al. 2020).

Figure 3 Smart Wastebin
(Source: Mahendra 2022)

AI can also be used to optimize the urban environment. By using AI-based systems, urban planners and designers can develop algorithms that can identify areas of inefficiency in the existing urban environment and suggest ways to optimize it. For instance, It has been observed urban areas often produce a lot of waste, making it hard to manage it efficiently. Fortunately, AI-based tools are available to help. There are cameras that can recognize the type of trash that has been thrown on the ground. Additionally, some waste bins have sensors that can tell when they are almost full, allowing authorities to only come and empty them when needed, saving money in the process (Mahendra 2022). AI can also be used to create virtual models of urban environments in order to simulate and test different interventions, such as changes to traffic flows or the introduction of new infrastructure and services (Artificial Intelligence in smart cities and urban mobility 2021). This could help urban planners to identify the most efficient and effective solutions for urban problems.

Recommendations for the Future

The use of Artificial Intelligence (AI) and complexity science in urban planning and design is likely to become increasingly relevant in the near future. AI can be used to identify patterns, trends, and relationships in the complexity of urban systems, helping to create more efficient and effective solutions tailored to the needs of the city's residents

Complexity science is the study of complex systems that involve the interaction of multiple components, often in nonlinear ways. By understanding the complexity of urban systems, it is possible to develop better solutions for urban planning and design. AI can be used to identify patterns and relationships in the complexity of urban systems and help to develop solutions that are tailored to the needs of the city's residents.

For example, AI can be used to analyze the mobility patterns of citizens and identify areas where public transportation is needed. This could be used to create more efficient and effective transportation networks within cities. AI could also be used to analyze the existing urban environment and provide insights into how to improve it, such as by creating green spaces and providing access to parks, playgrounds, and other recreation areas. In addition, AI can be used to identify areas of potential risk and provide solutions to mitigate these risks.

By investing in the infrastructure and training necessary to make use of AI and complexity science, cities can ensure that their citizens benefit from the most efficient and effective urban planning solutions.

This report explored the use of complexity science and artificial intelligence (AI) in urban planning and design. It discussed how complexity science can be used to analyse the needs of the population and the environment and to create models that can be used to plan and design urban infrastructure. It also explored the role of AI in businesses and how it can be used to automate tasks, analyse data, and optimise processes. Additionally, the report discussed how AI can be used in urban planning and design, such as green land planning, traffic management, sustainability planning, economic determinism, city planning, and smart city design. Finally, the report provided recommendations for the future, such as investing in infrastructure and training, creating public-private partnerships, and establishing ethical frameworks and guidelines. By making use of the advances in AI and complexity science, cities can ensure that their citizens benefit from efficient and effective urban planning solutions.

In conclusion, complexity science and AI are powerful tools that can be used to inform urban planning and design. By leveraging these technologies, cities can become more efficient and sustainable, and ensure that their citizens have access to the services and infrastructure they need. Additionally, cities should invest in the necessary infrastructure and training to make use of AI and complexity science. By investing in these technologies and taking the necessary steps, cities can ensure that their citizens benefit from efficient and effective urban planning solutions. 

References