Programme

Women in Data Science WellingtonPlease note that small changes to the programme below are still possible, so please check in closer to the date if you don’t plan to attend the whole day, but want to be sure to be there for specific sessions.

Saturday 9 March, Victoria University of Wellington, Rutherford House, 23 Lambton Quay

 

Keynotes
(LT1)
Professional Track
(LT1)
Learner Track
(LT2 except where noted)
8:30 – 9:00 am Registration (Foyer)
9:00 – 9:30 am

Welcome

WIDS Ambassadors (Kate Kolich and Mary Ellen Gordon)

9:30 – 10:10 am

What Data Scientists Need to Know About Working with Maori Data

Donna Cormack
Senior Research Fellow
Eru Pomare Māori Health Research Centre (University of Otago Wellington) and Te Kupenga Hauora Māori, University of Auckland.

10:10 – 10:15 am Silver sponsor talk:

Analytics for Social Wellbeing

Kate Kolich, Social Investment Agency

10:15 – 10:20 am Silver sponsor talk:

Showcasing Diversity in Data Science

Ministry of Business Innovation & Employment

10:20 – 10:25 am Silver sponsor talk:

enterpriseIT

 

 

10:25 – 10:40 am Morning Tea (Foyer)

Data Science in New Zealand Organisations in 2019

Becoming a Data Scientist

10:40 – 11:10 am

Data-Driven Organisations

Kari Jones, GM Data and Analytics Air New Zealand

What do Data Scientists Do?

Agate Ponder-Sutton, Data Scientist, BNZ

11:10 – 11:40 am

Technical Advances

Kathryn Hempstalk, Chief Data Scientist, Trade Me

Working in Data Science

Ernestynne Walsh
(Nicholson Consulting),
Lisa Chen (Harmonic Analytics), Louise Barber
(AGL), Emma Vitz (Finity
Consulting) (Moderator)

11:40 am – 12:10 pm

Data Communication and Visualisation

Kat Greenbrook, Founder of Rogue Penguin

12:10 – 1:00 pm Lunch, networking, and exhibition space
1:00 – 1:40 pm

Socially Responsible Use of Data

Dame Diane Robertson,
The Data Futures
Partnership Working
Group (Chair)

1:45 – 2:25 pm

Data in New Zealand in 2019

Liz MacPherson, Government Statistician
and Chief Executive Stats NZ

2:25 – 2:55 pm Gold Sponsor talk:

Open Data Reimagined: Protecting Privacy While Sparking Insights

Nasca Peng
Data Scientist
Statistics New Zealand

2:55 – 3:15 pm Afternoon tea, networking, and exhibition space

Social Considerations and Applications

Hands-On Session

(in the Cyber Commons)

3:15 – 3:45 pm

Ethics for Algorithms

Amanda Hughes,
Senior Data Scientist,
Nicholson Consulting

Tools for Data Science

Experience data science for yourself with help from staff from Victoria University and Nicholson Consulting.

3:45 – 4:15 pm

NLP Tools for Indigenous Languages

Dr Sally (Ake) Nicholas,
Lecturer, Massey University

4:15 – 4:45 pm

Ecosystem Modeling

Vidette McGregor
Ecosystem Modeller,
NIWA

4:45 – 5:15 pm

Wrap-up

WIDS Ambassadors (Kate Kolich and Mary Ellen Gordon); Emma Vitz (Finity
Consulting).

REGISTER HERE


WIDS Wellington is being held in Rutherford House, 23 Lambton Quay, Wellington.

For more information, please contact: maryellen.gordon@vuw.ac.nz