Grant: Canada Research Chairs
Université du Québec à Montréal
$120,000.00
privacy-preserving and ethical analysis of Big Data
FY 2018-19
Summary
The recent explosion of the amount and diversity of data, often refer to as Big Data, offers the possibility to realize inferences with an unprecedented level of accuracy and its analysis holds many promises in terms of knowledge, innovation and societal benefits. However, it also raises serious ethical issues among which privacy is a central one. The transparency, accountability and fairness of the algorithms based on Big Data should alsobe enforced.*The proposed Canada Research Chair will address these concerns byfocusing on the design of novel privacy-preserving and ethical methods for the analysis of Big Data.
Program
Canada Research Chairs
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
1000231682-2017
Name nom
Gambs, Sébastien
Department département
Computer Science
Organization id
57
Institution établissement
Université du Québec à Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2017
Award amount
120000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Partie
0
Nb partie
NA
Application title
privacy-preserving and ethical analysis of Big Data
Keyword
NSERC
Application summary
The recent explosion of the amount and diversity of data, often refer to as Big Data, offers the possibility to realize inferences with an unprecedented level of accuracy and its analysis holds many promises in terms of knowledge, innovation and societal benefits. However, it also raises serious ethical issues among which privacy is a central one. The transparency, accountability and fairness of the algorithms based on Big Data should alsobe enforced.*The proposed Canada Research Chair will address these concerns byfocusing on the design of novel privacy-preserving and ethical methods for the analysis of Big Data.
