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Nominations: Nominations closed

Voting: Voting closed

Vacancies
1
Results

Winner(s)

Re-open nominations is a winner
No
Count information
Date count run17 Mar 2023
Election rulesERS97 STV
Candidates running3
Available position1
Total ballots15
Valid votes15
Invalid votes0
Round 1
Joanna Abraham [13677]6.00
Robbie Morris [13938]8.00
RON (Re-open Nominations)1.00
Exhausted0.00
Surplus0.50
Threshold7.50
Count of first choices. The initial quota is 7.50. Candidate Robbie Morris [13938] has reached the threshold and is elected.

Winner is Robbie Morris [13938].

Candidates

Robbie Morris

As an avid member of the Data Science Society, I hope to give back by taking on the responsibility of Vice President. As VP, I would be dedicated to promoting data science ventures within the society and beyond. Here are a few reasons you should pick me:

  1. Experience: I am an incoming Tech Spring Intern at Amazon, summer data science intern for the Hong Kong government, and previously interned as a Systems Engineering Intern.
  2. Passion: I am passionate about data science and its potential to make a positive impact on society. As Vice President, I will work to inspire and motivate members of the society to engage with data science and explore its various applications.
  3. Leadership: Through student government and club leadership, I have experience managing teams, organising events, and facilitating discussions. As Vice President, I will use these skills to lead the society towards its goals and to promote a collaborative and inclusive community.
  4. Innovation: I believe that innovation is key to the success of any organisation, and I will work to foster a culture of innovation within the Data Science Society. I will encourage members to experiment with new ideas, technologies, and methodologies, and to share their findings with the community.

Overall, I am committed to making our community the best it can be. As Vice President, I will work to foster a culture of innovation, inclusivity, and collaboration, and to inspire members to engage with data science in meaningful ways.