17–19 October 2016: Conference & Tutorials
19–20 October 2016: Training
London, UK

Schedule: Open data & data science sessions

10:50–11:30 Monday, 17/10/2016
Location: Windsor Suite Level: Non-technical
Jeni Tennison (Open Data Institute)
Average rating: ***..
(3.00, 1 rating)
Open data is traveling the same road as open source. It started as a tech-driven desire for more information but is turning into a cultural change—one that changes business models, focuses policy interventions, and drives community engagement. Jeni Tennison explores how open data both requires and catalyzes systemic changes. Read more.
11:40–12:20 Monday, 17/10/2016
Location: Windsor Suite Level: Non-technical
Tim Nugent (lonely.coffee), Paris Buttfield-Addison (Secret Lab), Jon Manning (Secret Lab)
Open data is cool, especially when it comes from the government. What’s even cooler than open data? Games. Games are cool. So why not combine them? Tim Nugent, Paris Buttfield-Addison, and Jonathon Manning explore the potential for spreading the word about open data—and providing deeper engagement with data—through game development. Read more.
13:35–14:15 Monday, 17/10/2016
Location: Windsor Suite Level: Non-technical
yodit stanton (opensensors.io)
Average rating: **...
(2.00, 1 rating)
Yodit Stanton shines a light on the real IoT revolution quietly happening away from the spotlight and marketing dollars. Yodit explains how makers are using open data to solve real needs in multiple contexts, looking at examples from all over the world where communities and businesses are deploying sensors around problems from air and water quality to mobility and parking. Read more.
14:25–15:05 Monday, 17/10/2016
Location: Windsor Suite Level: Intermediate
Diego Ceccarelli (Bloomberg LP)
Average rating: ****.
(4.50, 2 ratings)
Learning to rank is a technique used by all the big search engines (Google, Bing, Yandex, etc.) to improve the quality of search. At the moment, there is not an open source solution available, but Bloomberg is working on an open source plugin for Solr (an open source search engine). Diego Ceccarelli presents learning-to-rank key concepts and explains how the Solr plugin works. Read more.
16:05–16:45 Monday, 17/10/2016
Location: Windsor Suite Level: Non-technical
Alice Casey (360Giving), Edafe Onerhime (Open Data Services)
At present, it's not possible to find a complete dataset on all charitable grants in the UK. Alice Casey and Edafe Onerhime offer an overview of 360Giving, which supports funding organizations in publishing their grants data in an open, standardized way and helps people to understand and use that data to support decision making and learning across the charitable giving sector. Read more.
16:55–17:35 Monday, 17/10/2016
Location: Windsor Suite Level: Intermediate
Colin Charles (Percona)
Average rating: ****.
(4.00, 1 rating)
Forking in the open source world means going with different goals and design directions. How do you pick a winner? Colin Charles offers practical examples from the MariaDB world (MySQL fork), as well as lessons from other projects like LibreOffice, LibreSSL, SuiteCRM, and Jenkins. If you have to fork and want to do it well, this journey through the MariaDB server world is for you. Read more.
9:30–13:00 Wednesday, 19/10/2016
Location: Sandringham Level: Intermediate
Amy Unruh (Google), Eli Bixby (Google)
Average rating: *....
(1.67, 3 ratings)
Amy Unruh and Eli Bixby offer practical, hands-on experience with TensorFlow, an open source library for deep learning. Amy and Eli introduce the basics of TensorFlow, show how to build neural net models with TensorFlow and train them both locally and in the cloud, and explain how to use trained models for prediction. In the process, they'll have some fun with visualization. Read more.