Teaching Data Science and Cloud Computing in Low and Middle Income Countries. / Shanahan, Hugh; Harrison, Andrew; May, Sean.

In: Advanced Techniques in Biology & Medicine, Vol. 3, No. 3, 1000150, 23.11.2015, p. 1-5.

Research output: Contribution to journalArticlepeer-review

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Teaching Data Science and Cloud Computing in Low and Middle Income Countries. / Shanahan, Hugh; Harrison, Andrew; May, Sean.

In: Advanced Techniques in Biology & Medicine, Vol. 3, No. 3, 1000150, 23.11.2015, p. 1-5.

Research output: Contribution to journalArticlepeer-review

Harvard

Shanahan, H, Harrison, A & May, S 2015, 'Teaching Data Science and Cloud Computing in Low and Middle Income Countries', Advanced Techniques in Biology & Medicine, vol. 3, no. 3, 1000150, pp. 1-5. https://doi.org/10.4172/2379-1764.1000150

APA

Shanahan, H., Harrison, A., & May, S. (2015). Teaching Data Science and Cloud Computing in Low and Middle Income Countries. Advanced Techniques in Biology & Medicine, 3(3), 1-5. [1000150]. https://doi.org/10.4172/2379-1764.1000150

Vancouver

Shanahan H, Harrison A, May S. Teaching Data Science and Cloud Computing in Low and Middle Income Countries. Advanced Techniques in Biology & Medicine. 2015 Nov 23;3(3):1-5. 1000150. https://doi.org/10.4172/2379-1764.1000150

Author

Shanahan, Hugh ; Harrison, Andrew ; May, Sean. / Teaching Data Science and Cloud Computing in Low and Middle Income Countries. In: Advanced Techniques in Biology & Medicine. 2015 ; Vol. 3, No. 3. pp. 1-5.

BibTeX

@article{2331b3be7ec549cd944931642b643bb0,
title = "Teaching Data Science and Cloud Computing in Low and Middle Income Countries",
abstract = "Large, publicly available data sets present a challenge and an opportunity for researchers based in Low and Middle Income Countries (LMIC). The challenge for these researchers is how they can make use of such data sets given their poor connectivity and infrastructure. The opportunity is the ability to perform leading edge research using these data sets and hence avoid having to invest substantial resources in generating the data sets. The offshoot of this will be to generate solutions to the substantial local problems encountered in these countries and create an educated workforce in data science. Cloud computing in particular may well close the infrastructural gap here. In this paper we discuss our experiences of teaching a variety of summer schools on data intensive analysis in bioinformatics in China, Namibia and Malaysia. On the basis of these experiences we propose that a larger series of summer schools in data science and cloud computing in LMIC would create a cadre of data scientists to start this process. We finally discuss the possibility of the provision of cloud computing resources where the usage costs are controlled so that it is affordable for LMIC researchers.",
keywords = "Education, Cloud computing, Development, Open source",
author = "Hugh Shanahan and Andrew Harrison and Sean May",
year = "2015",
month = nov,
day = "23",
doi = "10.4172/2379-1764.1000150",
language = "English",
volume = "3",
pages = "1--5",
journal = "Advanced Techniques in Biology & Medicine",
issn = "2379-1764",
number = "3",

}

RIS

TY - JOUR

T1 - Teaching Data Science and Cloud Computing in Low and Middle Income Countries

AU - Shanahan, Hugh

AU - Harrison, Andrew

AU - May, Sean

PY - 2015/11/23

Y1 - 2015/11/23

N2 - Large, publicly available data sets present a challenge and an opportunity for researchers based in Low and Middle Income Countries (LMIC). The challenge for these researchers is how they can make use of such data sets given their poor connectivity and infrastructure. The opportunity is the ability to perform leading edge research using these data sets and hence avoid having to invest substantial resources in generating the data sets. The offshoot of this will be to generate solutions to the substantial local problems encountered in these countries and create an educated workforce in data science. Cloud computing in particular may well close the infrastructural gap here. In this paper we discuss our experiences of teaching a variety of summer schools on data intensive analysis in bioinformatics in China, Namibia and Malaysia. On the basis of these experiences we propose that a larger series of summer schools in data science and cloud computing in LMIC would create a cadre of data scientists to start this process. We finally discuss the possibility of the provision of cloud computing resources where the usage costs are controlled so that it is affordable for LMIC researchers.

AB - Large, publicly available data sets present a challenge and an opportunity for researchers based in Low and Middle Income Countries (LMIC). The challenge for these researchers is how they can make use of such data sets given their poor connectivity and infrastructure. The opportunity is the ability to perform leading edge research using these data sets and hence avoid having to invest substantial resources in generating the data sets. The offshoot of this will be to generate solutions to the substantial local problems encountered in these countries and create an educated workforce in data science. Cloud computing in particular may well close the infrastructural gap here. In this paper we discuss our experiences of teaching a variety of summer schools on data intensive analysis in bioinformatics in China, Namibia and Malaysia. On the basis of these experiences we propose that a larger series of summer schools in data science and cloud computing in LMIC would create a cadre of data scientists to start this process. We finally discuss the possibility of the provision of cloud computing resources where the usage costs are controlled so that it is affordable for LMIC researchers.

KW - Education

KW - Cloud computing

KW - Development

KW - Open source

U2 - 10.4172/2379-1764.1000150

DO - 10.4172/2379-1764.1000150

M3 - Article

VL - 3

SP - 1

EP - 5

JO - Advanced Techniques in Biology & Medicine

JF - Advanced Techniques in Biology & Medicine

SN - 2379-1764

IS - 3

M1 - 1000150

ER -