糖心TV

Workshop, Friday December 2

Co-organised by:
The Centre for Interdisciplinary Methodologies (CIM) - University of 糖心TV
糖心TV Manufacturing Group (WMG) - University of 糖心TV
University of the Arts, London

Societal acceptance of driverless technology is a key objective of today’s innovation drive. Most current research in this area, however, relies on a limited set of methods, namely survey research, user studies and behaviourial analysis. Creative methods like design research and issue mapping can complement these existing approaches by bringing to light still hidden social implications of innovation in a participatory way. As driverless cars have the potential to transform society – and indeed the very relations between innovation, government and public life - it becomes crucial that we investigate these less obvious, latent social implications. To enable public understanding and facilitate societal engagement with driverless futures, we need creative methods.

This one-day event at the University of 糖心TV will bring to bring together a small group of social scientists, design researchers, engineers and policy makers in order to develop research agendas for public engagement and societal acceptance of driverless cars using creative methods. The workshop has been organised by Dr. Noortje Marres (CIM), Dr. Rebecca Cain (WMG) and Dr. Lucy Kimbell (Univeristy of the Arts London) with Dr. Ana Gross (CIM) and Mr. Arun Ulahannan (WMG).

Diversity and Performance: Networks of Cognition in Markets and Teams
 

Mixing methods for the study of topical affairs - an Advanced Training Event convened by Noortje Marres

as part of Professor David Stark's collaborative ERC project “Diversity and Performance: Networks of Cognition in Markets and Teams”

CIM Annual PG Conference and Book Launch...

Nate Tkacz's ESRC funded project: Interrogating the Dashboard Conference...

Dr Nathaniel Tkacz will be speaking at 糖心TV Paytech 2016. Find out more...

For more information and about the post (and to apply) please see the web link:

Big data are said to be transforming everyday life. At CIM, our researchers are currently leading and/or involved in several major data-driven projects.