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Smart Society - Hybrid and Diversity-Aware Collective Adaptive Systems: When People Meet Machines to Build a Smarter Society (MGMT)
Rovatsos, Michael
(Principal Investigator)
Anderson, Stuart
(Co-investigator)
Ramamoorthy, Ram
(Co-investigator)
Robertson, David
(Co-investigator)
School of Informatics
Edinburgh Neuroscience
College of Science and Engineering
Overview
Fingerprint
Research output
(2)
Project Details
Status
Finished
Effective start/end date
1/01/13
→
31/12/16
Funding
EU government bodies:
£65,042.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Teams
Computer Science
100%
Programming Model
Computer Science
80%
Artifacts
Computer Science
80%
Roles
Computer Science
80%
Adaptive System
Computer Science
80%
Smart Device
Computer Science
80%
Functionality
Computer Science
60%
Medical Record
Computer Science
40%
Research output
Research output per year
2017
2017
2020
2020
2
Article
Research output per year
Research output per year
A Programming Model for Hybrid Collaborative Adaptive Systems
Scekic, O.
,
Schiavinotto, T.
,
Videnov, S.
,
Rovatsos, M.
,
Truong, H-L.
,
Miorandi, D.
&
Dustdar, S.
,
Mar 2020
,
In:
IEEE Transactions on Emerging Topics in Computing.
8
,
1
,
p. 6-19
12 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Programming Model
100%
Adaptive System
100%
Functionality
75%
User
25%
Generation
25%
Authority as an interactional achievement: Exploring Deference to Smart Devices in hospital-based resuscitation
Patel, M.
,
Hartswood, M.
,
Webb, H.
,
Gobbi, M.
,
Monger, E.
&
Jirotka, M.
,
Dec 2017
,
In:
Computer Supported Cooperative Work (CSCW).
26
,
4-6
,
p. 489–525
35 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Artifacts
100%
Roles
100%
Teams
100%
Smart Device
100%
Ethnomethodology
50%