ModStore: An Instructional HPC-Based Platform for National Science Experiment Big Data Challenge

Author(s):  
Weiwen Zhang ◽  
Yong Liu ◽  
Long Wang ◽  
Jiuyu Zhou ◽  
Jiawei Du ◽  
...  
Keyword(s):  
Big Data ◽  
2020 ◽  
Vol 21 (6) ◽  
pp. 341-346
Author(s):  
Rosalina Richards ◽  
Justine Camp ◽  
Jesse Kokaua ◽  
Terina Raureti ◽  
Albany Lucas ◽  
...  

We are drawn to this Talanoa in response to the call from Pacific Health Dialogue for frank and open discussion. Our contribution to the conversation is some reflections about our experience of academic health research as a collective of Māori and Pacific researchers trying to navigate within a large national research programme. Alongside this we will share the voyaging framework we developed to help locate ourselves as a collective, and articulate our needs and aspirations as early to mid-career researchers. Our collective met in the context of working with A Better Start – E tipu e rea, a National Science Challenge created by the New Zealand government.1 Better Start focuses on the health of children and young people across five key areas; healthy weight, resilient teens, successful literacy and learning, big data and Vision Mātauranga. Our team came together as collaborators within the Big Data theme, to explore the Integrated Data Infrastructure (IDI) as an area of possibility and challenge for both Māori and Pacific communities.


2017 ◽  
Vol 2 (1) ◽  
pp. 82
Author(s):  
Keven Liu

June 8-9, 2017, the National Science Library of China (NSLC) hosted the first Data Analysis and Knowledge Discovery conference and Big Data Analysis for Decision-Making workshop. This meeting took its name from the Journal of Data Analysis and Knowledge Discovery, which is the new name of and direction for the former Journal of Modern Library and Information Technologies.


ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  

Find Out About 'Big Data' to Track Outcomes


2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.


2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org


PsycCRITIQUES ◽  
2014 ◽  
Vol 59 (2) ◽  
Author(s):  
David J. Pittenger
Keyword(s):  

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