[ecrea] call for papers: Big Video Sprint 2017

2nd call for papers

Title: Big Video Sprint 2017
Dates: 22-24 November 2017
Location: Aalborg University, Aalborg, Denmark
Submission deadline: 30th May
Web: www.bigvideo.aau.dk/conference/big-video-sprint-2017/

Keynote speakers:

1. Anne Harris, RMIT University, Australia - "Ethnocinema as Method"

2. Robert Willim, Lund University, Sweden - "Video and Art Probing"

3. Adam Fouse, Aptima, USA - "Designing Tools to Support Analysis of 
Multimodal Temporal Data"

4. Paul McIlvenny & Jacob Davidsen, Aalborg University - "A Manifesto 
for Big Video"

This mini-Conference is targeted at practitioners of qualitative video 
ethnography and ethnomethodological conversation analysis who are 
exploring new ways of collecting time-based records of social, material 
and embodied practices as live-action events in real or virtual worlds. 
They may also be critically revisiting established methods. 
Additionally, this approach will most likely involve crafting and 
sharing video data archives, as well as transcribing and visualising 
enhanced video data in order to collect analytically adequate recordings 
and to do analysis in new ways. We feel that our collective research 
endeavour is at a critical juncture - both a leap forward driven by new 
technologies that help collect richer and enhanced moving image and 
sound recordings in a variety of novel settings and a critical 
reflection on the nature of video data and the praxiology of doing 
video-based research.

With the complexity of video recording scenarios, and the increasing use 
of computational tools and resources for qualitative analysis, we can 
see the beginnings of a BIG VIDEO programme. We use this glib term to 
suggest an alternative to the hype about quantitative big data 
analytics. Big can mean both large datasets and more than just video. 
Thus, we argue that there is a need to develop an infrastructure for 
qualitative video analysis in four key areas: 1) capture, storage, 
archiving and access of enhanced digital video; 2) visualisation, 
transformation and presentation; 3) collaboration and sharing; and 4) 
software tools to support analysis.The mini-conference is organised as a 
series of keynotes, panel discussions, enhanced data sessions and method 
sprints aiming to elevate and ignite discussions of the future of Big Video.

With the development of new video recording and sensing technologies, 
fresh opportunities arise for data collection and analysis within the 
discourse and interaction studies paradigm. Technologies that have 
potential include high resolution and high speed video cameras, 360 
cameras, stereoscopic 3D cameras, thermal cameras, virtual cameras, 
spatial and ambisonic audio, video stitching and annotation, GPS and 
local positioning systems, lightfields and 3D scanning, mobile 
biosensing data (eg. heart rate, galvanic skin response and EEG), 
motion/performance capture and mobile eye tracking – to name just a few. 
The opportunities these afford should be actively and critically 
explored. And so we envisage the following themes will be in focus in 
this mini-conference:

- Enhanced qualitative video data collection methods
- Complementary use of sensory data
- Complementary use of spatial and environmental sensing data
- Autonomous and manual drone video
- Critical reflections on the ‘camera’, the ‘microphone’, the 'frame' and
    the 'shot' in data capture
- Virtualisation of capture methods
- ‘Found video’ and public video data archives
- Re-sensing video and audio, eg. haptic visuality
- Video data collection in extreme situations and complex settings
- Footprint recordings, omniscient frames and six degrees of freedom
- Virtual immersion and stereoscopic/holographic realism
- Algorithmic normativity and bias in video recording software and
    hardware
- Developing and standardising transcription conventions for complex
    qualitative data sets
- Transcription software development
- Novel ways to visualise and analyse complex qualitative data sets
- Best practice for digitally anonymising voices, bodies, semiotic
    landscapes, settings and objects
- Enhanced ‘data sessions’
- Inhabiting data with augmented and virtual reality
- Re-enactment, plausibility and epistemic adequacy
- Modding game engines, APIs, VSTs, CODECs, platforms and apps for live
    data capture and editing (DAWs and NLEs)
- Archiving, rendering and sharing video data corpora beyond the cloud,
    eg. fogs
- Collaborative video repository and subversion issues
- Design of software tools and practices to support collaboration on video
    data annotation and analysis
- New modes for dissemination, presentation and publication of data and
    analysis
- Aesthetics of video research methods
- Emerging ethical and legacy issues
- Theoretical and methodological reflections on data collection and
    transcription practices
- Practical, methodological and theoretical perspectives on the relations
      between the concepts of the ‘Event’, the ‘Record’, ‘Data’, the
      ‘Transcript’, the ‘Analysis’, and the ‘Publication'

Please submit an abstract of 500 words to be considered for inclusion on 
the programme and to secure your participation in the conference. 
Deadline is 30 May 2017.

Full details can be found here: 
http://www.bigvideo.aau.dk/conference/big-video-sprint-2017/
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