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Data-Intensive Research: how should we improve our ability to use data

Original Event Webpage: www.nesc.ac.uk/esi/events/1047/

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Title Formats Available
Day 1 09:30 - Intro loop. - Malcolm Atkinson PowerPoint Format [PPT] (0.11 MB)
Day 1 10:40 - Setting the agenda for data-intensive research. - Malcolm Atkinson PowerPoint Format [PPT] (10.21 MB) [Video] (0.00 MB)
Day 1 10:45 - Strategies for exploiting large data. - Alex Szalay [Video] (0.00 MB) [PPTX] (8.51 MB)
Day 1 11:30 - Motivation and strategies for data-intensive biology. - Douglas Kell PowerPoint Format [PPT] (5.23 MB) [Video] (0.00 MB)
Day 1 12:15 - Learning from Data in Online Advertising and Games. - Thore Graepel PowerPoint Format [PPT] (9.48 MB) [Video] (0.00 MB)
Day 1 15:45 - Introduction of plan, people, questions and ideas for data analysis, setting the scene for the week. - Chris Williams [Video] (0.00 MB) Adobe PDF Format [PDF] (0.53 MB)
Day 1 16:05 - Introduction of plan, people, questions and ideas for databases and scientific data. - Stratis Viglas Adobe PDF Format [PDF] (0.91 MB) [Video] (0.00 MB)
Day 1 16:25 - Introduction of plan, people, questions and ideas for programming paradigms. - Geoffrey Fox [Video] (0.00 MB) [PPTX] (1.13 MB)
Day 1 16:45 - Soaring through clouds with Meandre. - Xavier LlorĂ¡ and Bernie A'cs [PPTX] (8.28 MB) [Video] (0.00 MB)
Day 2 09:00 - Dealing with large data sets in astronomy and medical imaging. - Alan Heavens [Video] (0.00 MB) Adobe PDF Format [PDF] (7.95 MB)
Day 2 09:30 - Data challenges in Earthquake Seismology. - Torild van Eck PowerPoint Format [PPT] (13.89 MB) [Video] (0.00 MB)
Day 2 10:00 - Making the most of Earth-system data. - Keith Haines [Video] (0.00 MB) PowerPoint Format [PPT] (23.46 MB)
Day 2 11:00 - Scientific Databases: the story behind the scene - Martin Kersten PowerPoint Format [PPT] (5.90 MB) [Video] (0.00 MB)
Day 2 11:30 - Model Limitations: sequential data assimilation with uncertain static parameters. - Jonty Rougier Adobe PDF Format [PDF] (0.81 MB) [Video] (0.00 MB)
Day 2 12:00 - Earth-Systems data in real time applications: low latency, metadata, and preservation. - Beth Plale [Video] (0.00 MB) [PPTX] (9.89 MB)
Day 2 12:30 - Challenges in Large Scale GeoSpatial Data Analysis: Mapping, 3D and the GeoSpatial Web. - Michael Batty PowerPoint Format [PPT] (18.49 MB) [Video] (0.00 MB)
Day 2 17:00 - Providing an environment where every data-intensive researcher will thrive. - Carole Goble PowerPoint Format [PPT] (13.07 MB) [Video] (0.00 MB)
Day 3 - Intermediate slides. - David De Roure [PPTX] (2.03 MB)
Day 3 09:00 - Big Data Bioinformatics. - Mario Caccamo [PPTX] (14.09 MB) [Video] (0.00 MB)
Day 3 09:30 - The Open Microscopy Environment. - Jason Swedlow Adobe PDF Format [PDF] (19.13 MB) [Video] (0.00 MB)
Day 3 10:00 - Handling Social Science data: Challenges and responses. - Paul Lambert PowerPoint Format [PPT] (2.07 MB) [Video] (0.00 MB)
Day 3 11:00 - The complexity dimension in data analysis. - Chris Williams [Video] (0.00 MB) Adobe PDF Format [PDF] (0.79 MB)
Day 3 11:30 - Spatial microsimulation for city modelling, social forecasting and urban policy analysis. - Mark Birkin [Video] (0.00 MB) [PPTX] (14.24 MB)
Day 3 12:00 - Linked Data: Making things more accessible. - Hugh Glaser Adobe PDF Format [PDF] (1.62 MB) [Video] (0.00 MB)
Day 3 12:30 - Using search for engineering diagnostics and prognostics. - Jim Austin [Video] (0.00 MB) PowerPoint Format [PPT] (2.54 MB)
Day 4 09:00 - Medical image processing & caBIG. - Joel Saltz [PPTX] (14.56 MB) [Video] (0.00 MB)
Day 4 09:30 - Extracting relevant information and presenting it well. - Andrey Rzhetsky [Video] (0.00 MB) PowerPoint Format [PPT] (20.24 MB)
Day 4 10:00 - Building a virtual data center for the biological, ecological and environmental sciences. - Bill Michener [Video] (0.00 MB) PowerPoint Format [PPT] (22.46 MB)
Day 4 11:00 - Foundations for the management and use of research data. - Peter Buneman [PPTX] (2.02 MB) [Video] (0.00 MB)
Day 4 11:30 - Discovering Patterns in Text and Relational Data with Bayesian Latent-Variable Models. - Andrew McCallum [Video] (0.00 MB) Adobe PDF Format [PDF] (8.90 MB)
Day 4 12:00 - Using Real Time data to Understand and support Human Behaviour. - Paul Watson [Video] (0.00 MB) [PPTX] (7.47 MB)
Day 5 09:00 - Planning our route to the data intensive future: Monday's highlights. - Malcolm Atkinson PowerPoint Format [PPT] (1.96 MB) [Video] (0.00 MB)
Day 5 09:15 - What should we do about data scale? - Stratis Viglas [Video] (0.00 MB) Adobe PDF Format [PDF] (0.13 MB)
Day 5 09:30 - Highlights from Day 3* in the Big Data House. - David De Roure [PPTX] (1.90 MB)
Day 5 09:30 - Highlights from Day 3* in the Big Data-House. - David De Roure [Video] (0.00 MB)
Day 5 09:45 - What can data analysis do and what data -analysis research do we need? - Chris Williams [Video] (0.00 MB) Adobe PDF Format [PDF] (0.04 MB)
Day 5 10:00 - What should we do about data-intensive programming? - Shantenu Jha [PPTX] (0.07 MB) [Video] (0.00 MB)
Day 5 10:45 - What should DBs do & what DB research do we need? - James Cheney Adobe PDF Format [PDF] (0.16 MB) [Video] (0.00 MB)
Day 5 11:00 - What should we do about data interaction? - Jano van Hemert [Video] (0.00 MB)
Day 5 11:15 - A Vision for Research in 2030. - John Wood [Video] (0.00 MB) PowerPoint Format [PPT] (23.57 MB)
Research Village Talks - Research Village Talk: Data Transfer Service Overview PowerPoint Format [PPT] (1.30 MB)
Research Village Talks - Research Village Talk: Data-Intensive Research Group Talks. - Jano Van Hemert et al (online videos) [H0LW] (0.00 MB)
Research Village Talks - Research Village Talk: DTS Batchjob movie [MP4] (15.46 MB)
Research Village Talks - Research Village Talk: MonetDB: Scientific Data management Adobe PDF Format [PDF] (0.24 MB)
Research Village Talks - Research Village Talk: OMII-UK PowerPoint Format [PPT] (3.72 MB)
Research Village Talks - Research Village Talk: SPRINT/R PowerPoint Format [PPT] (2.55 MB)
Thursday Breakout - Breakout: Dynamic Data [PPTX] (0.05 MB)
Thursday Breakout - Breakout: Visualisation PowerPoint Format [PPT] (0.06 MB)
Tuesday Breakouts. - Tuesday Breakout: Data Analysis Adobe PDF Format [PDF] (0.53 MB)
Tuesday Breakouts. - Tuesday Breakout: Dirty Data [PPTX] (0.04 MB)
Wed Breakout - Breakout: Arts, Humanities and Qualitative Social Science PowerPoint Format [PPT] (0.02 MB)
Wed Breakouts - Breakout: Can I have your Data? [DOCX] (0.02 MB)
Wed Breakouts - Breakout: Linked Data [ZIP] (0.04 MB)
Wed Breakouts - What should we tell the government? PowerPoint Format [PPT] (0.11 MB)
Last Updated: 22 Jun 12 11:02
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