From 009f40830521db3ea6fe8d41b8c882ffd44ab5a5 Mon Sep 17 00:00:00 2001 From: Sebastien Bourdeauducq Date: Mon, 7 Nov 2016 23:58:45 +0800 Subject: [PATCH] Bauhinia Genome talk --- public_events.html | 12 ++++++++++++ scott_edmunds.jpg | Bin 0 -> 59674 bytes 2 files changed, 12 insertions(+) create mode 100644 scott_edmunds.jpg diff --git a/public_events.html b/public_events.html index 9de8fed..95133f7 100644 --- a/public_events.html +++ b/public_events.html @@ -31,6 +31,18 @@
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November 28th 2016, 20:00 — Lecture: Grass Roots Genomics: Using Hong Kong's Emblem to Crack Exobytes of Data

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+ +Far outpacing Moore's law, the growth of genomics, sequencing the genetic code of all living organisms, is predicted to overtake the volumes of other major generators of large-scale data such as astronomy, streaming video, and social media. Much of this revolution has been driven in Hong Kong and just across the border in Shenzhen, but has gone under the radar here. The effects of this are already touching all our lives, and our health and wellbeing in the 21st century. To better equip the people of Hong Kong with the literacy and training to make informed decisions and work in this new genomic era we launched Bauhinia Genome, a grassroots, citizen science project using the crowdfunded sequencing of the genome of the Hong Kong emblem to better understand where it came from, and train local students to assemble and analyse the data. Crucial skills needed for this field to advance, as well as engage the public through local pride. +

+ +

+Speaker: +Scott Edmunds is Executive Committee Member for Open Science at Open Data Hong Kong, and employed by the genomics organization BGI on publishing and data projects. As Executive Editor of Gigascience, the open and reproducible research journal based out of the BGI offices in Hong Kong, he works on data publishing and infrastructure. He is passionate about reproducible research, citizen science and open data, and involved in a number of open science projects such as the crowdsourcing of the deadly European 2011 E. coli outbreak, the Bauhinia Genome project, and Mosquito Alert. +

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June 23rd 2016, 20:00 — Lecture: Harnessing social media data with machine learning

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