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Welcome to Day 3 in the Big Data House

Welcome to Day 3 in the Big Data House. Today’s theme. It's not just the scale and volume of data that characterises data-intensive research, but also the complexity within and across datasets May be in one discipline or across many Some of today’s talks come from Social Science. PolicyGrid.

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Welcome to Day 3 in the Big Data House

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  1. Welcome to Day 3in theBig Data House

  2. Today’s theme • It's not just the scale and volume of data that characterises data-intensive research, but also the complexity within and across datasets • May be in one discipline or across many • Some of today’s talks come from Social Science...

  3. PolicyGrid m NCRM phase 2 Current Nodes Rural communities DAMES DE Hubs Social Inclusion NeISS Highwire Genesis CQeSS Original Nodes m MoSeS Obesity e-Lab HUB m Horizon DReSS Creative Industries DE DTCs Finance mmm Healthcare MiMeG Media Genesis OeSS m eStat GeoVUE m m Entertainment LifeGuide ncrm Web Science

  4. 09:00 Mario Caccamo, BBSRC TGAC Centre Big Data Bioinformatics • 09:30 Jason Swedlow, University of Dundee, Wellcome Trust Centre for Gene Regulation and Expression The Open Microscopy Environment: Informatics and Quantitative Analysis for Biological Microscopy, HCAs, and Image Data Repositories • 10:00 Paul Lambert, Stirling University Handling social science data: Challenges and responses • 10:30 Coffee break

  5. 11:00 Chris Williams, School of Informatics, University of Edinburgh The complexity dimension in data analysis • 11:30 Mark Birkin, School of Geography, University of Leeds Spatial microsimulation for city modelling, social forecasting and urban policy analysis • 12:00 Hugh Glaser, Seme4 Ltd Linked Data: Making things more accessible • 12:30 Jim Austin, Department of Computing Science, University of York Using search for engineering diagnostics and prognostics

  6. Afternoon Schedule • 2.15 plenary to identify breakouts • 2.30 breakouts (coffee available throughout) • 4pm poster session (take coffee up to Atrium) • 4.30 report back from breakouts

  7. 1. Arts, Humanities and Qualitative Data Intensive Research • The talks have been quite focused on quantitative research, but what about Data Intensive Research using other forms of data - e.g. text, audio, video, transcriptions of in-depth interviews? • Is there a "computational turn" set to change research practice and methods in these disciplines? • Possible leader: Sheila Anderson

  8. 2. New forms of Social Sciences Data • There is a growing movement that argues that social science research could better be based on the growing body of "social transactional" and "naturally occurring" data sources; e.g. supermarket loyalty cards, administrative records, traffic cameras, facebook, smart electricity meters - including realtime data. • Which data intensive research methods need to be used or developed to successfully harnessing this data deluge for social research that has impact? • Possible lead: Mark Birkin

  9. 3. What were you thinking when Hugh was talking? • a.k.a. “Look Hugh’s Talking” • When Hugh Glaser presented Linked Data, were you thinking "this is interesting, it solves a problem for me" (if so what?) or were you thinking "this isn't going to work for me?" (if so why not?) • Possible lead: Hugh Glaser 

  10. 4. What to tell your government • You are about to meet someone in the ministry that funds research and higher education and you have the opportunity to tell them in a few succinct phrases how they should support data-intensive research in the next funding round. • You can have at most 5 priority items if you want to be taken seriously; what are they? • Possible lead: Carole Goble (need rapporteur)

  11. 5. Biological and Image Data • Following on today's talks and integrating with the wide variety of biomedical challenges and strategies. • Possible lead: Jano van Hemert

  12. 6. Analysing time series data • Several of today's talks have discussed the analysis of time series data...

  13. 7. Programming Paradigms • The aim of this session will be to take a mid-workshop stock of how the exchanges, discussions and proceedings so far, have influenced our perception of Programming Paradigms for data-intensive research. • Many of the issues laid out in Geoffrey Fox's opening talk will be revisited. • Possible leader: Shantenu Jha

  14. Spare breakouts from yesterday • Look: a wheel! • David and Goliath • Your blessing, my curse • Who's chasing who? • See... http://wiki.esi.ac.uk/Wednesday_DIR_Breakouts

  15. Breakout Rooms • Arts, Humanities and Qualitative Data Intensive Research – Swanson Rm • New forms of Social Sciences Data – CramondRm • Linked Data (Look Hugh’s Talking) – Circulation area outside CramondRm • What to tell your government - Atrium • Biological and Image Data – Newhaven Lecture Rm • Analysing time series data • Programming paradigms – Chapterhouse

  16. Afternoon Schedule Revisited • 2.15 plenary to identify breakouts • 2.30 breakouts (coffee available throughout) • 4pm poster session (take coffee up to Atrium) • 4.30 report back from breakouts Organise your own meals, then... • 9pm The Malt Shovel • 11-15 Cockburn Street, EH1 1BP

  17. The Malt Shovel 11-15 Cockburn St EH1 1BP Carlton Radisson Meeting for drinks at theMalt Shovel from 9pm

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