This year’s Science Online London conference begins tomorrow, Friday 2nd September. Co-organised by nature.com and Digital Science and taking place at the British Library, this year’s two day event will present a range of stimulating lectures and engaging debates, as well as talks with internationally acclaimed scientists and journalists. There are also fringe events today, tomorrow and Sunday, which are open to all.
If you are not attending Science Online London, you can follow the #solo11 hashtag on Twitter as well as watch live-streams of the sessions from the main auditorium, as well as many of Friday’s breakout sessions. Keep an eye here for blog posts and links to other content too.
To add to the jam-packed programme, for the very first time Science Online London is hosting a selection of lively workshops that will form the schedule for the Saturday.
There will be four simultaneous workshops, each divided into 90 minute sessions. Attendees are able to select two of these workshops, one in the morning and one in the afternoon, the afternoon workshops will be more advanced and attendees may continue with the same workshop to dive deeper into the content. Each workshop will use information relevant to SMA research and at the end of the day each workshop will present the output from their sessions.
At this year’s Science Online London Lou Woodley and Laura Wheeler will be running one of Saturday’s workshops on Online Communication tools. With help from Alan Cann, Daniel Mietchen and Mike Peel, the workshop will start with how to get the most out of online communication tools such as Google+, Twitter, and 3rd party twitter tools such as Storify and Dipity. We’ll also mention account management tools including CoTweet and Tweetdeck. We’re able to cover all angles from how to practically use the tools most beneficially in an institutional or academic environment, to how to measure their impact via statistics and online “kudos” tools. If you still need a G+ invite, do send Alan an email.
You can find out more about the sessions below:
Data visualisation – tutorial material by Jer Thorp, data artist in residence, New York Times A tutorial in Processing.js, showing how even non-programmers can visualise information (in this case, relevant to rare and neglected disease) in new and novel ways using Processing – an open source visual programming language. NOTE: Due to unforseen circumstances, Jer will be unable to join us in person. He’s providing us with a step-by-step tutorial with examples to work through, and we’ll have Processing users on hand to help troubleshoot.
Beyond scholarly publication – led by Martin Fenner, (PLoS blogger, Hannover Medical School) with Eva Amsen (The Node); Brian Mossop (PLoS); Mike Peel; Bora Zivkovic; and Scott Edmunds This workshop will tie together a number of concepts raised at last January’s “Beyond the PDF” conference, looking at how we can move beyond a static PDF journal article and can redefine both our writing tools and the format of the scholarly paper. This workshop will showcase Scholarly HTML and participants will learn to use blogging tools to write content that is interesting, enriched with multimedia, collaborative, and semantically enhanced.
Online Communication Tools – led by Lou Woodley, nature.com with contributions from AJ Cann and Mike Peel. To include social media/online tools e.g. Twitter, Google +, and 3rd party apps and how to track the impact of your online activities. Will also look at how we can add another layer of value and interest to science writing, integrating data and other tools to enhance how we look at information and how we tell stories.
Dealing with Data using Synapse – led by Adam Margolin and Nicole Deflaux (Sage Bionetworks), Benilton Carvalho (Cancer Research UK) A hands on data-wrangling session, using Synapse, a data platform crafted by the team at Sage Bionetworks. This workshop will demonstrate the use of Synapse to build predictive models of drug response, using genetic characterization of cell lines from the Broad/Novartis Cancer Cell Line Encyclopedia project, and drug response characterization from the Sanger/MGH Genomics of Drug Sensitivity project. can be found at https://scienceonline.sagebase.org