Difference between revisions of "Project Groups"
Kalaisr.2017 (talk | contribs) |
|||
Line 66: | Line 66: | ||
<div style="text-align:center;"> | <div style="text-align:center;"> | ||
[[Group01_Overview|Group01]] | [[Group01_Overview|Group01]] | ||
+ | [[File:Cybersec.png|200px|thumb|left|alt text]] | ||
</div> | </div> | ||
|| | || |
Revision as of 14:16, 15 June 2018
|
|
|
|
|
Project Groups
Please change Your Team name to your project topic and change student name to your own name
Project Team | Project Title/Description | Project Artifacts | Project Member |
---|---|---|---|
Project title: Provide eyes catching title. However, it should reflect the content or/and the focus of your project Abstract The abstract should not be more than 350 words. |
| ||
|
Cyber-security: you are in more danger than you can possibly imagine Cyber-attacks are becoming increasingly sophisticated. Coupled with the growing amount of data being generated by individuals, corporations and governments, well-orchestrated attacks could potentially cause major disruptions to any country, such as gaining access to national defense systems. According to David Koh, CEO of Singapore’s Cyber Security Agency, Singaporeans are largely aware of cybersecurity threats but do not take the necessary precautions, which may be due to complacency stemming from Singapore's reputation as a safe country1. Hence, public education is still required to urge individuals into taking preventive measures. This project will contribute to that end by providing interactive and interesting visulisations of cyber-attacks that can engage members of the public. 1https://govinsider.asia/innovation/cyber-war-csa-singapore-david-koh/
|
| |
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Exploring Inequality’s Geographic Dimension Across Neighbourhoods in Singapore: Its Driving Forces & Touch Points Amidst the recent debate over growing social inequality in Singapore such as the distinct clustering of elite schools and varying access to resources, the dangers of hardening social mobility can pose as a threat for a culturally diverse nation that has upheld its values of social cohesion and racial harmony. In bonding and bridging communities, Singapore has put in place various programmes in the community and schools to nurture shared experiences and promote inter-communities mixing. More recently, inequality was highlighted to have a geographic dimension even for a densely populated city like Singapore. Using geospatial techniques in R, the dashboard serves to visualise whether geography is an important driver of inequality, by mapping the extent of social inequality and access to common spaces across neighbourhoods. This will be done via three approaches. First, we will analyse whether there exist clusters that could point towards social inequality and whether this is more pronounced in certain neighbourhoods, based on ethnic mix, age composition, and housing type. This will be done using choropleth mapping, spatial segregation index, and spatial points pattern analysis at both the subzone and dwelling unit level. Next, using the Hansen Accessibility Model, we will map out the available touch points within neighbourhoods that could facilitate social mixing, such as the ease of access to common spaces, amenities and opportunities for choice of education. This is because an important aspect of social inequality is having reasonably fair access to different resources. Lastly, by identifying centroids, we will move into solutioning and explore possible spaces such as vacant state land where upcoming public amenities can be best placed to optimise social class mixing. |
| ||
Buy More! – Maximizing Sales Taking advantage of data is key to ensuring the survival of an e-commerce retail business. Through the visualization of the spending habits of customers and the visualization of the results from various machine learning algorithms, insights can be gathered as to which customers the retailer should target and what type of products should be kept in-stock to maximize sales. |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Global Migration - Higher Walls or Wider Doors? With the world shrinking by the day with technology and humans being more than ever ready to scale distances in quests to follow a career path or to escape political persecution and war or in search of better quality of life or to be closer to family or friends, Migration and the resulting ethnic and racial diversity are amongst the most emotive subjects in contemporary societies. In recent times, the political salience of migration has strongly increased due to uproar of natives and other factors. For origin societies, the departure of people raises concern about the 'brain drain' on the one hand. For receiving societies, the settlement of migrant groups and the formation of ethnic minorities can fundamentally change the social, cultural, economic dimensions and cause lack of resources for the natives. Using R’s geospatial and network analysis techniques, we aim to delve into the migrant numbers data over the years from country to country conjoined with the remittances according to the world bank by them to the origin locations. Migration and remittance numbers will be analysed grouping the locations on continent, region and socio-economic status scales to identify relations between the factors separating the dominating and the dominated societies. This will be done using visual models employing quadrant analysis to visualize how the numbers have changed over the years due to varying push and pull factors according to the current world situations, flow mapping and creating a betweenness clustering and centrality index network model to solution the question on the profitability of migration from the eyes of the origin and destination societies. |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
| ||
Project title Abstract |
|