COMUNES: EL TODO Y LAS PARTES. Sobre tiempos, responsabilidades y sustentabil...Heloisa Primavera
Conversación abierta a partir del evento COMUNES (2016) realizado en Buenos Aires, www.encuentrocomunes.com
Están invitad*s tod*s lo que pasen por aquí y quieran aportar sus críticas, ideas y propuestas.
PatNet Exploring Social Media and Bio-sensors for a Patient Driven Health Car...nasim.mahmud
People are increasingly becoming health-conscious and therefore prefer monitoring their health conditions for various reasons (e.g., sports, medical health). Similarly, patients are also keen to utilize bio-sensors that are readily available in the market. As a result, patient driven health care systems are gradually becoming popular among the medical professionals. A patient driven medical health care facility gives access to an enormous amount of data that may revolutionize the existing health and care system. However, there is a little known about how to tap into the potential patient driven knowledge and information in a systematic order. The PatNet project provides some of the stepping stones into this domain of patient and sensor social networks. This project focuses on patient-driven health care models and services. The research examines the potential to both improve traditional healthcare systems and expand the concept of health care through new services. This research rationale outlines the challenges and opportunities that the proposed model shows.
Exploiting Context-awareness and Social Interaction to Provide Help in Large-...nasim.mahmud
The research presented here explores how to unlock the enormous power of
human processing that is still underutilized, in a social, congenial and convenient way.
This is still not well explored but is an emerging area of research.
In the frame of the thesis I propose several context–aware social computing prototype
systems that assist people to find context–sensitive suitable help and guidance
from trusted social peers. I also illustrate the help seeking scenario in different
ranges from large–scale city environments to people with dementia. Furthermore, I
demonstrate the help seeking scenario in a simulated large and dynamic social network
such as, a simulated vehicular network. I also propose approaches that can
assist users to select required contextual information and assist to find suitable help
providers.
This presentation was a part of the PhD public defense of Nasim Mahmud. Place Hasselt University, Expertise Center for Digital Media, Aula (Large Auditorium), Diepenbeek, Belgium on April 25, 2012.
PhD supervisors:
Promoter : Professor Dr. Karin Coninx
(Vice-dean, Hasselt University, Belgium)
Co-promoter: Professor Dr. Kris Luyten
Jury/Committee:
Prof. Dr. Frank Van Reeth (Chairperson, Hasselt University),
Prof. Dr. Karin Coninx (Advisor, Hasselt University),
Prof. Dr. Kris Luyten (Co-advisor, Hasselt University),
Prof. dr. Wim Lamotte (Doctoral committee member, Hasselt University),
Dr. Jan Van den Bergh (Hasselt University),
Prof. Dr. Yolande Berbers (Distrinet, University of Leuven),
Dr. Ann Ackaert (IBCN, Ghent University)
COMUNES: EL TODO Y LAS PARTES. Sobre tiempos, responsabilidades y sustentabil...Heloisa Primavera
Conversación abierta a partir del evento COMUNES (2016) realizado en Buenos Aires, www.encuentrocomunes.com
Están invitad*s tod*s lo que pasen por aquí y quieran aportar sus críticas, ideas y propuestas.
PatNet Exploring Social Media and Bio-sensors for a Patient Driven Health Car...nasim.mahmud
People are increasingly becoming health-conscious and therefore prefer monitoring their health conditions for various reasons (e.g., sports, medical health). Similarly, patients are also keen to utilize bio-sensors that are readily available in the market. As a result, patient driven health care systems are gradually becoming popular among the medical professionals. A patient driven medical health care facility gives access to an enormous amount of data that may revolutionize the existing health and care system. However, there is a little known about how to tap into the potential patient driven knowledge and information in a systematic order. The PatNet project provides some of the stepping stones into this domain of patient and sensor social networks. This project focuses on patient-driven health care models and services. The research examines the potential to both improve traditional healthcare systems and expand the concept of health care through new services. This research rationale outlines the challenges and opportunities that the proposed model shows.
Exploiting Context-awareness and Social Interaction to Provide Help in Large-...nasim.mahmud
The research presented here explores how to unlock the enormous power of
human processing that is still underutilized, in a social, congenial and convenient way.
This is still not well explored but is an emerging area of research.
In the frame of the thesis I propose several context–aware social computing prototype
systems that assist people to find context–sensitive suitable help and guidance
from trusted social peers. I also illustrate the help seeking scenario in different
ranges from large–scale city environments to people with dementia. Furthermore, I
demonstrate the help seeking scenario in a simulated large and dynamic social network
such as, a simulated vehicular network. I also propose approaches that can
assist users to select required contextual information and assist to find suitable help
providers.
This presentation was a part of the PhD public defense of Nasim Mahmud. Place Hasselt University, Expertise Center for Digital Media, Aula (Large Auditorium), Diepenbeek, Belgium on April 25, 2012.
PhD supervisors:
Promoter : Professor Dr. Karin Coninx
(Vice-dean, Hasselt University, Belgium)
Co-promoter: Professor Dr. Kris Luyten
Jury/Committee:
Prof. Dr. Frank Van Reeth (Chairperson, Hasselt University),
Prof. Dr. Karin Coninx (Advisor, Hasselt University),
Prof. Dr. Kris Luyten (Co-advisor, Hasselt University),
Prof. dr. Wim Lamotte (Doctoral committee member, Hasselt University),
Dr. Jan Van den Bergh (Hasselt University),
Prof. Dr. Yolande Berbers (Distrinet, University of Leuven),
Dr. Ann Ackaert (IBCN, Ghent University)