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The Good Night Lamp is currently on show at the newly opened Design Museum. How did it get there from an idea she had as a student in 2005? Alex will share some thoughts on commercialising a product for families for the last 11 years.
by Sam Machin
A short talk on some of the more 'interesting' features of SMS and how you can use them with the Nexmo API on modern smartphones. This will be an interactive session where users will send/receive messages on their phones so bring them along.
This talk will inspire attendees to create surprising new user experiences (like the examples in the talk) that use powerful new technologies (like brainwave control, AI, AR, VR, IoT, etc.) through mostly free SDKs and software (to which the talk will provide links).
Carin will show examples of experiences that are literally 'wonder'-ful, and fulfill a real need at the same time (they're not just games), like a school bus to Mars, AI robot for the elderly, and apps that teach our thoughts.
After the talk, new ideas can be discussed.
Samsung developer advocate Ada Rose Edwards will present the latest on building interactive VR experiences for the web.
The Natural History Museum in London is embarking on an epic journey to digitise 80 million specimens from one of the world’s most important natural history collections - documenting 4.5 billion years of life, the Earth and the solar system. Almost all animal, plant, mineral and fossil groups are represented.
Digitising the Museum’s collection will give the global scientific community access to unrivalled historical, geographic and taxonomic specimen data gathered in the last 250 years. We are committed to open access and open science.
Over the next five years we plan to digitise a quarter of the Museum's specimens by establishing high-throughput digital capture workflows for all major collection types.
We have created an online Data Portal (http://data.nhm.ac.uk/) giving everyone access to the specimen and lot-level data, and will develop flexible informatics and visualisation tools to analyse the data.
In this session, we will introduce you to our Data Portal and our open APIs to the world's natural history data. We will describe some of the digitisation challenges we face, and our desire to make this not only an indispensable source of data for researchers & scientists world wide, but also a source of information and knowledge for the amateur, the student, and the curious.
*The Digital Collections Programme: http://www.nhm.ac.uk/our-science...
And finally, we will present to your our Natural History Data Challenge for the Hackathon - how can you help set the world's natural history data free?
This session and Hackathon Challenge are supported by the SYNTHESYS project, which encompasses a wide range of natural history collections across all of Europe: http://www.synthesys.info/
Although the word is in the name, Open Source is not always very open. When we look at the most well known contributors to Open Source, we see that they have resources that others may not. Resources such as time, energy, a decent internet connection, little experience of harassment and support from a workplace, or just a job at all.
This is not a talk where you will get the golden solution to making your Open Source project a magical fun place with boundless diversity of people and experiences. It is however, a talk about some of the things we can do to make Open Source (and by association, the industry at large) a more approachable and inclusive place.
Contributing to Open Source is an investment; when we ask others to do it, we ask them to give up their time for us. As maintainers and contributors, it is our job to make the experience enjoyable and worth the effort.
To make a contributor’s stay enjoyable and comfortable, we’ll talk about:
What are the different threats
What users can do
What developers should do
How to fight back
by Imran Ghory
How to think practically about ethics when applying Machine Learning techniques.
Machine Learning is becoming prevalent in every aspect of our lives from online dating & personal finance to medical devices & self-driving cars. As time goes on we're ceding ever more of our decision making to black-box algorithms. But without careful consideration we can end up letting these algorithms make decisions that humans would never consider acceptable.
It's falls to us as developers, data scientists and product managers to make sure we consider the ethical implications when we adopt machine learning techniques; as failing to do so could have meaningful negative real world consequences for our users.
This talk will cover a number of practical examples as well as techniques for spotting where these challenges might occur in your own work.
Hiring good people can be hard. Keeping good people can be hard. It’s made easier though if you can set your company apart as a place that people want to work at. But how do you make the community aware that that’s the case?
Developer evangelists typically evangelise products to developers, but what if the thing you’re trying to sell is the team itself? How can you get your entire team sharing with the community what you’ve built and how you work?
This talk will examine why you should evangelise your team and give concrete examples of how to encourage your team to do so.
25th–26th November 2016