PPMP 20014

CLIMATE CHANGES

Student Name: Sri Divya Sahithi Ravuru

Student ID: 12062730

Campus: Melbourne

Climate Change Climate change (CC) is one of the most complex issues in the world. The effects of climate change are global in scope. Once greenhouse gases are released into the atmosphere, it becomes a global problem. The effects of climate change are unprecedented in scale, and its impacts on human life are significant. Effects of climate change range from the rise in sea levels, long droughts and heat wave, flooding and desertification. These impacts have an extensive effect on human life and the environment. The impact of change in rainfall variability, rising temperature, and heat wave in Australia has an adverse effect on human health. Extreme temperatures and heat waves in 2014 caused 167 deaths in Victoria, Australia (Energy.gov.au, 2019). The effects of climate change demonstrate the complexity of managing and controlling the issue. Management of climate change requires a massive pool of resource and time to mitigate it successfully. The level of complexity of a project on climate change is very high. The complexity assessment matrix above measures the level complexity of various complex factors of climate change. Some of the factors that were assessed include the degree involvement of key stakeholders such as the government of Australia in climate change, stability, the implication of the project, the cost of pursuing the project on climate change and several tasks and activities involved in the project. The project complexity level ranged from Very Low, Low, Medium, High and Very High. The project complexity factors that were very high had a score 25-28. For instance, the cost of the project on climate change, activities, and the implications of the project are very. On the other hand, complexity factors with a score ranging from 0-11 are low, and these include the stability of the project on climate change. Complexity Indicators Complexity indicators of climate change show that level of difficulty of the project. Different indicators are used to measure the complexity of the project. First, there is the stakeholder cohesion indicator which covers the communication and interaction between different organizations and individuals involved in climate change. Second, the project objective measures the project’s alignment goals and goal-paths. Most projects on climate change in Australia lack clear definition and objectives. Also, the country lacks scientific technologies to tackle the issue of climate change. The leadership team involved in climate change is politically influenced, hence jeopardizing the project. Another key complexity indicator of climate change is the issue of social-cultural factors. Organizations and individuals engaged in climate control in Australia have different interests, opinions and loyalties hence increasing the complexity of the project. Tools, processes, methods, and techniques used in the project also contribute to complexity. Types of Complexity There are four main types of complexity. These include structural, technical, directional, and temporal complexity. Structural complexity emanates from large projects that have several interconnected parts while technical complexity is caused by challenges in design and other technicalities. Directional complexity of the project is caused by unclear goals and conflicting objectives such as communication and cultural barriers while temporal complexity defines the uncontrollable scope of the project, impacts on the environment and uncertainties. Structural Complexity The structural complexity of a project on climate change stems from the fact that causes of climate change are interconnected. The emission of greenhouse gases into the atmosphere causes several environment effects. According to Grimm et al. (2013), the effect of climate change increases the complexity of the ecosystem structure. For instance, the combination of forest fires and outbreak of insects causes a depreciation in forest productivity while melting of sea ice and increase in temperature results in loss of marine life (Grimm et al., 2013). This demonstrates that interconnection of causes of climate change increases the structural complexity of the project. Technical Complexity Technical complexity presents a challenge to a project on climate change. Technical challenges stem from the fact that there are no clear solutions to climate change. Although experts have revealed that the effect of climate change is a threat to humanity, no clear solutions have been developed to mitigate the problem. According to Samuelson (2014), the world lack necessary technologies to stop climate change and the debates on climate change held by different quotas confuses more instead of providing a clear solution. For instance, environmental experts have argued that fossil fuel such coal, natural gas, and oil are major emitters of carbon dioxide, but no practical replacement have been developed hence increasing the technical complexity of climate change. Directional Complexity There are several stakeholders involved in climate change control. These stakeholders have different cultures, opinions, loyalties, and interests. Therefore, their interaction leads to unexpected directional challenges that make the issue of climate change difficult to resolve. According to Cooke-Davies (2011), the interaction of people from different backgrounds results in unhelpful behaviors that increase the complexity of the problem. Temporal Complexity The scope of climate change is uncontrollable. The effects of climate change are global in scale and not restricted to a region. Once greenhouse gases have been released into the atmosphere, its impacts become global. Also, the effects of climate change are temporal in the sense that they are unpredictable. Effects of climate change such as hurricanes rainstorms and heat waves are unpredictable and have adverse impacts on the environment. Varieties that Leads to Climate Change Several external varieties contribute to the complexity of climate change. External factors that affect the complexity of climate change include political influence, industrial, and social factors. Political factors influence pro-climate change policies. As the impact of climate change continues to mount in Australia, there has been a political divide on those who accept science and those who reject it. According to Beckmann & Tarzia (2010), the issue of climate change is increasingly viewed through a political perspective which undermines the accuracy of the situation. Also, the involvement of different industries in climate change control contributes to its complexity. For instance, the involvement of fossil fuel industries in climate change control leads to a conflict of interest thus causing farther complexities. Moreover, there is a common social belief that climate is caused by natural factors and has nothing to do with human activities. Although controlling and managing climate change is difficult, it is necessary. If nothing is done about the issue, climate change will be more costly in the future. Structural, technical, directional and temporal complexities contribute to difficulty in the management of climate change. It is important to control political influence and industrial influence on climate change to achieve the objectives of the project. References Beckmann, R. & Tarzia, M. (2010). The politics and science of climate change. Retrieved from https://www.aph.gov.au/About_Parliament/Parliamentary_Departments/Parliamentary_Library/pubs/BriefingBook43p/polsciclimatechange Cooke-Davies, T. (2011, August). Aspects of complexity: Managing projects in a complex world. Project Management Institute. Energy.gov.au. (2019). Climate change impacts in Australia. Retrieved from https://www.environment.gov.au/climate-change/climate-science-data/climate-science/impacts Grimm, N. B., Chapin III, F. S., Bierwagen, B., Gonzalez, P., Groffman, P. M., Luo, Y., … & Schimel, J. (2013). The impacts of climate change on ecosystem structure and function. Frontiers in Ecology and the Environment, 11(9), 474-482. Samuelson, J. R. (2014). Robert Samuelson: On climate change, we have no solution. The Washington Post, retrieved from https://www.washingtonpost.com/opinions/robert-samuelson-on-climate-change-we-have-no-solution/2014/05/11/24d767c6-d77d-11e3-95d3-3bcd77cd4e11_story.html?noredirect=on&utm_term=.e40ea3701994

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sd 2.xlsx

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Assessment of the Complexity Level of Climate Change
Complexity Factor Descriptor and Points Project Complexity Level Score
Project stability Very Low Low Medium High Very High 34-44
The cost of the project Very High High Medium Low High 23-33
Number of activities and tasks involved in climate change Very High High Medium Low Medium Dec-22
Stakeholders involvement Very High High Medium Low Low 0-11
Implications of the climate change Very High High Medium Low
Name Email ID (@cqumail.com) Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10
Pranay Bhushan 12067939 4 5 2 3 4 4 4 5 2 3
Abdul Razzak 12079113 3 2 3 4 4 4 4 3 3 4
Rahul Reddy rahulreddy.dandu 5 4 4 3 4 3 3 4 3 4
Ravi Reddy r.annapareddy 3 4 5 4 3 4 4 3 4 2
Ganesh Dandothikar g.dandothikar 4 5 3 2 4 3 4 4 3 4
Rajiv Yarlagadda rajiv.yarlagadda 4 4 4 3 5 3 5 4 4 4
Santhan Reddy santhanreddy.bandi 3 5 4 3 4 5 4 3 3 5
Muhammed Ishaq 12075604 2 3 5 4 2 3 5 4 4 4
Vikram Reddy v.katpaliy 5 2 3 3 4 3 5 4 3 5
Sai Krishna Narra saikrishna.narra 4 4 3 5 4 5 3 3 3 2
Total Score 37 38 37 34 37 37 41 37 32 37
Complexity Very High Very High Very High Very High Very High Very High Very High Very High High Very High

Sheet1

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Sheet3

Sheet1

Assessment of the Complexity Level of Climate Change
Complexity Factor Descriptor and Points Project Complexity Level Score
Project stability Very Low Low Medium High Very High 34-44
The cost of the project Very High High Medium Low High 23-33
Number of activities and tasks involved in climate change Very High High Medium Low Medium Dec-22
Stakeholders involvement Very High High Medium Low Low 0-11
Implications of the climate change Very High High Medium Low
Name Email ID (@cqumail.com) Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10
Pranay Bhushan 12067939 4 5 2 3 4 4 4 5 2 3
Abdul Razzak 12079113 3 2 3 4 4 4 4 3 3 4
Rahul Reddy rahulreddy.dandu 5 4 4 3 4 3 3 4 3 4
Ravi Reddy r.annapareddy 3 4 5 4 3 4 4 3 4 2
Ganesh Dandothikar g.dandothikar 4 5 3 2 4 3 4 4 3 4
Rajiv Yarlagadda rajiv.yarlagadda 4 4 4 3 5 3 5 4 4 4
Santhan Reddy santhanreddy.bandi 3 5 4 3 4 5 4 3 3 5
Muhammed Ishaq 12075604 2 3 5 4 2 3 5 4 4 4
Vikram Reddy v.katpaliy 5 2 3 3 4 3 5 4 3 5
Sai Krishna Narra saikrishna.narra 4 4 3 5 4 5 3 3 3 2
Total Score 37 38 37 34 37 37 41 37 32 37
Complexity Very High Very High Very High Very High Very High Very High Very High Very High High Very High

 
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