| Title |
Formats Available |
| Day 1 09:30 - Intro loop. - Malcolm Atkinson |
 [PPT]
(0.11 MB)
|
| Day 1 10:40 - Setting the agenda for data-intensive research. - Malcolm Atkinson |
[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 |
[PPT]
(5.23 MB)
[Video]
(0.00 MB)
|
| Day 1 12:15 - Learning from Data in Online Advertising and Games. - Thore Graepel |
[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)
[PDF]
(0.53 MB)
|
| Day 1 16:05 - Introduction of plan, people, questions and ideas for databases and scientific data. - Stratis Viglas |
[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 Llorá 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)
[PDF]
(7.95 MB)
|
| Day 2 09:30 - Data challenges in Earthquake Seismology. - Torild van Eck |
[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)
[PPT]
(23.46 MB)
|
| Day 2 11:00 - Scientific Databases: the story behind the scene - Martin Kersten |
[PPT]
(5.90 MB)
[Video]
(0.00 MB)
|
| Day 2 11:30 - Model Limitations: sequential data assimilation with uncertain static parameters. - Jonty Rougier |
[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 |
[PPT]
(18.49 MB)
[Video]
(0.00 MB)
|
| Day 2 17:00 - Providing an environment where every data-intensive researcher will thrive. - Carole Goble |
[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 |
[PDF]
(19.13 MB)
[Video]
(0.00 MB)
|
| Day 3 10:00 - Handling Social Science data: Challenges and responses. - Paul Lambert |
[PPT]
(2.07 MB)
[Video]
(0.00 MB)
|
| Day 3 11:00 - The complexity dimension in data analysis. - Chris Williams |
[Video]
(0.00 MB)
[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 |
[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)
[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)
[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)
[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)
[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 |
[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)
[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)
[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 |
[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)
[PPT]
(23.57 MB)
|
| Research Village Talks - Research Village Talk: Data Transfer Service Overview |
[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 |
[PDF]
(0.24 MB)
|
| Research Village Talks - Research Village Talk: OMII-UK |
[PPT]
(3.72 MB)
|
| Research Village Talks - Research Village Talk: SPRINT/R |
[PPT]
(2.55 MB)
|
| Thursday Breakout - Breakout: Dynamic Data |
[PPTX]
(0.05 MB)
|
| Thursday Breakout - Breakout: Visualisation |
[PPT]
(0.06 MB)
|
| Tuesday Breakouts. - Tuesday Breakout: Data Analysis |
[PDF]
(0.53 MB)
|
| Tuesday Breakouts. - Tuesday Breakout: Dirty Data |
[PPTX]
(0.04 MB)
|
| Wed Breakout - Breakout: Arts, Humanities and Qualitative Social Science |
[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? |
[PPT]
(0.11 MB)
|
