March 18 Unhackathon #6

nh-sw-hk-1Data scientists: we are organising another Un-hackathon in our monthly series. There will be talks and a day of collaborative, hands-on problem solving.

Sign up on our Eventbrite page and stay up to date with upcoming events on our meetup page.



  • 9.30am – Arrive, registration
  • 10am – Welcome
  • 10.15am – Talks begin
  • 11.30am – Pitch session, recruitment
  • 12pm – Work on projects
  • 5.30 pm – Present results of work session


16F, 40-44 Bonham Strand, Sheung Wan, Hong Kong


Laptop and charger for those joining the coding.
Prepared data and project pitches for those submitting projects.
If presenting, send us your presentation slides ahead of time so we can prepare them.
50HKD in cash for admin and organisation.
Recommendations for project submissions:
Prepare data in advance as much as you can; spending the day cleaning or retrieving data won’t gather crowds of DS! Contact organisers if you need a data repository to share data with all your team members.
If the project is already underway, prepare an introduction to it so that people can join (if you’re presenting slides, send them to us before you arrive), and make sure the task you propose is feasible during the time of the event, and describe the skills you expect your team to have: R or Python? AWS, Spark? etc.

For final presentations:

Start writing the final presentation right from the start and add elements little by little all day long. Recall the context of the project and articulate the presentations to make it understandable by the non-initiated public around you.
If you wish your work will be published on the website with your bio, name, etc.

Other details:

50 participants max
Food / drink: Only water, coffee and snacks are provided. Attendees can order their own food to the venue, take a break to find a restaurant in Kennedy Town or bring their own lunch.
Price: 50 HKD. We charge a fee to cover costs. We are not a for-profit organisation and will aim to keep the costs of our events as low as possible to make it accessible to all.

Women in data science – WiDS 2018

The Stanford Women in Data Science conference 2018  is starting on March 6th at 1am Hong-Kong time

Live Broadcast

We encourage everyone to follow the broadcast here 

You can tweet using the hashtag #WiDS2018Q


The program can be found here, we reproduce it here for convenience in HK time zone

1:00-1:10am: Opening Remarks: Margot Gerritsen, Senior Associate Dean and Director of ICME, Stanford University
1:10-1:30am: Welcome Address: Maria Klawe, President, Harvey Mudd College
1:30-2:05am: Keynote Address: Leda Braga, CEO, Systematica Investments
2:05-2:10am Regional Event Check-in
2:10-2:50am: Technical Vision Talks:
     2:10-2:30am Mala Anand, EVP, President, SAP Leonardo Data Analytics
     2:30-2:50am Lada Adamic, Research Scientist Manager, Facebook
2:50-3:10am: Morning break
3:10-3:15am: WiDS Datathon Winners Announced
3:15-3:55am: Technical Vision Talks:
     3:15-3:35am: Nathalie Henry Riche, Researcher, Microsoft Research
     3:35-3:55am: Daniela Witten, Associate Professor of Statistics and Biostatistics, University of Washington
3:55am-4:30am: Keynote Address: Latanya Sweeney, Professor of Government and Technology in Residence, Harvard University
4:30-6:00am:  Lunch and Breakouts (NO LIVESTREAM)
6:00-6:35am: Keynote Address: Jia Li, Head of Cloud R&D, Cloud AI, Google
6:35-7:15am Technical Vision Talks:
     6:35-6:55am: Bhavani Thuraisingham,
Professor of Computer Science and Executive
Director of Cyber Research and Education Institute, University of Texas at Dallas
     6:55-7:15am: Elena Grewal, Head of Data Science, Airbnb
7:15-7:30am  Afternoon break 

7:30-7:35am Regional event check-in
7:35-8:15am Career Panel moderated by Margot Gerritsen
Bhavani Thuraisingham 
 Professor of Computer Science and Executive
Director of Cyber Research and Education Institute, University of Texas at Dallas
     Ziya Ma,  Vice President of Software and Services Group and Director of Big Data Technologies, Intel Corporation
     Elena Grewal Head of Data Science, Airbnb
     Jennifer Prendki, Head of Data Science, Atlassian
8:15-8:55am: Technical Vision Talks
     8:15-8:35am: Risa Wechsler, Associate Professor of Physics, Stanford University
     8:35-8:55am: Dawn Woodard, Senior Data Science Manager of Maps, Uber
8:55-9:00am: Closing Remarks