Ihaka Lecture Series 2022: Building Building Blocks for Data Science

Ihaka Lecture Series 2022: Building Building Blocks for Data Science

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University of Auckland Science Centre - MLT2/303-102

38 Princes Street

Auckland, Auckland 1010

New Zealand

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2022 Ihaka Lecture Series, hosted by the Faculty of Science

About this event

The field of Data Science is fortunate because the most popular software tools for Data Science are programming languages. This means that most Data Scientists learn to write code.

The availability of such tools depends on people building effective, efficient, and open software tools for Data Science. This means that some Data Scientists are developers. They write code so that other people can write code.

The 2022 Ihaka Lecture Series features three speakers who develop software tools for Data Science, building systems that can be built upon.

There are three lectures in the series on 28 July, 4 and 11 August. It is important to note that the presentation will take place via Zoom, with the speaker at a remote location. However, the presentation will be streamed live in the lecture theatre, and there will be the usual opportunity for Q&A with the speaker at the end of the session. A livestream will be available to people unable to attend in person.

The lectures commence at 6.30pm and will be held in MLT2/303-102.

Please note that we will have refreshments at 6pm, prior to the lectures in the Lift Lobby Foyer (303-B00L2).

Livestreaming will be available for each lecture - links are below and will be sent out in the reminder email prior to each lecture.


The genesis of experimentation

Dr Emi Tanaka

Senior Lecturer in Statistics, Monash University

Livestream Link: https://vimeo.com/event/2213414


New Plumbing: Adding a pipe operator to Base R

Professor Luke Tierney

Ralph E. Wareham Professor of Mathematical Sciences, the University of Iowa

Livestream Link: https://vimeo.com/event/2213418


Perspectives on the last decade in data science tools

Wes McKinney , CTO and co-founder of Voltron Data

Livestream Link: https://vimeo.com/event/2213421

For more details, please view the Ihaka Lecture Series webpage

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COVID-19 Guidelines

The University is committed to protecting you and will follow Public Health guidance in the delivery of events. Please do not attend the event if you are feeling unwell or have cold or flu-like symptoms. We encourage attendees to wear masks at all events.

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