This position is offered through the ANU Computing Internship

Organisation description

Crawford School of Public Policy at The Australian National University is Asia and the Pacific’s leading graduate public policy school. Staff and students at the School play an essential role in shaping public policy through research, education and policy engagement.

Crawford School is home to some of the region’s most important researchers and many staff are active on government committees and in key advisory roles across government, business and civil society. Students at the School are valued members of the region’s leading public policy community and contribute actively to the impact being made on the world’s challenges surrounding such issues as water, food, energy, economic development, the environment, and governance.

3 out of 4 internship projects from the Crawford School of Public Policy are available for the Round 3.

Project 2: Shared responsibility and community engagement in bushfire management: Evidence from social media text mining in Australia

Bushfires (wildfires) present an increasing threat to rural Australia. Effective messaging about planning and preparing for bushfires is essential, as is the provision of accurate and timely information to residents when they come under bushfire threat. According to social learning theory, the public’s attention and sentiment orientation have a strong influence on acceptance-behavior toward crisis management.

Therefore, in this study, text-mining analysis will be used to analyze social media text data to explore the current status, temporal and spatial trends of public attention, sentiment orientation, and focus on bushfire management and strategies for hazard reductions in Australia. The present study contributes to the public’s emotional differentiation of bushfire hazard reduction methods and identifies the focus of each sentiment. A comprehensive study of negative emotions will be conducted, which is essential to increasing the utilization of resources for fire management. Based on the conclusions of his study, the policy recommendations will be proposed and communicated with the Australian government.

Required/preferred technical skills or experience in software languages, environments, platforms.

Text mining, Natural language processing, Artificial intelligence, Python programming language.

Required/preferred professional or other skills

Social science, Psychology, Analytics.

Delivery Mode

Project can be undertaken in-person or remote

Student location

We are happy to host a student in any location

Eligibility

No citizenship requirements apply. 

How to apply

Applications are invited from eligible students to apply for the Computing Internship courses COMP3280 or COMP8830. Eligibility details and further information about the Computing Internship can be found on the Computing Internship page. 

1. Students must first seek confirmation of eligibility by submitting an Eligibility and Room Available in degree check.  

2. Eligible students can then apply through the Computing Internship application form. You can nominate multiple preferred Internship placements through the one application form. 

3. Your application will require you to upload the following documents:

• an updated copy of your Resume, and
• an Expression of Interest (limit 350 words) for each organisation you wish to apply to (for organisations with multiple projects only submit one Expression of Interest but state clearly which project/s you wish to be considered for).

Applications open on 4 December and close on Thursday 9 December 10am AEDT (Canberra time).