CBSA-Wisers Analytics Challenge

Deadline: 10 Dec 2022 (Closed)

Location: Hong Kong

To: All UG Students

The Center for Business and Social Analytics (CBSA) is inviting applications for the “CBSA-Wisers Analytics Challenge”.

The Challenge aims to provide a unique opportunity for students to hone their data analytics skills through a business or social impact challenge. The theme of this challenge is “Sustainable and Green Finance in Hong Kong”.

Interested students should form a team of 2 to 4 members with at least 1 HKUST student* and the team leader should submit online applicationsby Saturday, December 10, 2022.

*Students may form their teams via the Team Matching Platform.

For details of the Challenge, you may refer to the eDM below and the official website at Analytics Challenge (hkust.edu.hk).

For enquiries, please contact the organizer at cbsa@ust.hk.

Dear Students,

We are in the decade of urgent action toward a more sustainable planet and resilient society. Are you passionate about turning datasets into actionable insights that facilitate and foster environmental and social governance?

If your answer is YES, we have some exciting news for you. The Center for Business and Social Analytics (CBSA) of HKUST Business School is now accepting registrations for the CBSA-Wisers Analytics Challenge @HKUST 2022/23!

Organized by CBSA in collaboration with Wisers Information Limited, this annual competition aims to provide Hong Kong tertiary students with the opportunity to apply and hone their data analytics skills through a business or social impact challenge. The theme of this year’s challenge is Sustainable and Green Finance in Hong Kong.

Students are expected to work in teams to address a problem statement by uncovering patterns and insights from the competition data, which consists of:

Text data related to climate risk and sustainability in Hong Kong – contain over 400,000 news articles and social media posts/comments
GSF Data Source Repository – contains data sources for climate risk management and other GSF-related analysis and research

This challenge calls for your ability to pose meaningful questions, work collaboratively under pressure, and use the latest advances in natural language processing and other AI techniques to extract value from the data. In order to help teams better prepare for this year's analytics challenge, we have planned a series of webinars featuring leading experts in the fields of green finance and data science.

HIGHLIGHTS

Eligibility – The challenge is open to all students enrolled in a full-time undergraduate or postgraduate program in Hong Kong. Each team must consist of two to four participants, including at least one HKUST student.
Theme – Sustainable and Green Finance in Hong Kong
Attractive Cash Prizes – A total of HK$30,000!
Webinar Series –A 5-part webinar series will be organized to help students better prepare for the challenge

IMPORTANT DATES

Registration Period You may form your team via the Team Registration Platform.	1 Nov –10 Dec
5-Part Webinar Series Topics include ‘Current State of ESG Disclosures’, ‘Large Language Model Applications in Sustainability’, ‘Introduction to Predictive Analytics’, and more!	1^st session: 11 Nov 2^nd session: 17 Nov 3^rd session: 25 Nov 4^th session: 2 Dec 5^th session: 9 Dec
First Round Analytics Challenge Teams will receive the problem statement and datasets on 14 Dec	14 Dec – 13 Jan
Workshop @Cyberport	17 Dec
First Round Submission Deadline	13 Jan, 23:59 HKT
Announcement of Finalist Teams	1 Feb
Mentoring for Finalist Teams	1 – 17 Feb
Final Round Analytics Challenge Day 1: 24-hour Datathon Day 2: Presentation and Award Ceremony To be held at HKUST Clear Water Bay Campus	18 – 19 Feb

You may visit our dedicated website for more details.

APPLICATION METHOD

Please form a team and register via this form.

The registration deadlineis 10 December 2022 at 11:59pm HKT.

For further enquiries, please contact us at cbsa@ust.hk.

Get ready, get set, and let’s get analyzing!

HKUST Business School

Disclaimer:

The School will not be responsible for any expenses incurred in this Challenge.

The data collected is solely administered by the organizers. The School shall not be held liable in the case that disputes, loss or any other situations arise.