Gender and Sexuality in Information Studies Colloquium (GSISC) Presentation 2...Marika Cifor
Marika Cifor's slides for "Blood, Sweat and Hair: The Archival Life of Queer and Trans Bodies" at the Gender and Sexuality in Information Studies Colloquium (GSISC) 2016 in Vancouver, BC.
How Did We Get Here from There? The Origin Story of The Biodiversity Heritage...Martin Kalfatovic
How Did We Get Here from There? The Origin Story of The Biodiversity Heritage Library. Martin R. Kalfatovic. 2017 Library Leaders Forum. Internet Archive. San Francisco. 13 October 2017.
Gender and Sexuality in Information Studies Colloquium (GSISC) Presentation 2...Marika Cifor
Marika Cifor's slides for "Blood, Sweat and Hair: The Archival Life of Queer and Trans Bodies" at the Gender and Sexuality in Information Studies Colloquium (GSISC) 2016 in Vancouver, BC.
How Did We Get Here from There? The Origin Story of The Biodiversity Heritage...Martin Kalfatovic
How Did We Get Here from There? The Origin Story of The Biodiversity Heritage Library. Martin R. Kalfatovic. 2017 Library Leaders Forum. Internet Archive. San Francisco. 13 October 2017.
Data Science: History repeated? – The heritage of the Free and Open Source GI...Peter Löwe
Data Science is described as the process of knowledge extraction from large data sets by means of scientific
methods. The discipline draws heavily from techniques and theories from many fields, which are jointly used to
furthermore develop information retrieval on structured or unstructured very large datasets. While the term Data
Science was already coined in 1960, the current perception of this field places is still in the first section of the hype cycle according to Gartner, being well en route from the technology trigger stage to the peak of inflated
expectations.
In our view the future development of Data Science could benefit from the analysis of experiences from
related evolutionary processes. One predecessor is the area of Geographic Information Systems (GIS). The
intrinsic scope of GIS is the integration and storage of spatial information from often heterogeneous sources, data
analysis, sharing of reconstructed or aggregated results in visual form or via data transfer. GIS is successfully
applied to process and analyse spatially referenced content in a wide and still expanding range of science
areas, spanning from human and social sciences like archeology, politics and architecture to environmental and
geoscientific applications, even including planetology.
This paper presents proven patterns for innovation and organisation derived from the evolution of GIS,
which can be ported to Data Science. Within the GIS landscape, three strategic interacting tiers can be denoted: i) Standardisation, ii) applications based on closed-source software, without the option of access to and analysis of the implemented algorithms, and iii) Free and Open Source Software (FOSS) based on freely accessible program code enabling analysis, education and ,improvement by everyone. This paper focuses on patterns gained from the synthesis of three decades of FOSS development. We identified best-practices which evolved from long term FOSS projects, describe the role of community-driven global umbrella organisations such as OSGeo, as well as the standardization of innovative services. The main driver is the acknowledgement of a meritocratic attitude.
These patterns follow evolutionary processes of establishing and maintaining a web-based democratic culture
spawning new kinds of communication and projects. This culture transcends the established compartmentation and
stratification of science by creating mutual benefits for the participants, irrespective of their respective research
interest and standing. Adopting these best practices will enable
data science history / data science @ NYTchris wiggins
talk delivered 2015-07-29 at ICERM workshop on "mathematics in data science"
workshop: https://icerm.brown.edu/topical_workshops/tw15-6-mds/
references: http://bit.ly/icerm
An overview of History and Philosophy of Science, dissecting terms such as History, Philosophy and its focal point science, correlating history of science and philosophy of science, tackeling about other essential information such as scientific method, paradigms and the role of History and Philosophy of Science in Science classroom. This is such a great help to inspire teachers and soon to be on how they can integrate their learning's in this subject to further enhance more science teaching.
Making of scientific, industrial and arrogant Europe (Paper presented at the ...Rajesh Kochhar
Throughout the 19th century in its encounters with the East Europe was in a learning mode. Cultural superiority and racial arrogance set in in England in the 1830s.
These slides are about the science and technology in the 20th century. This presentation also discusses the changes in the society particularly in the Western countries. It is based on the works of Peter Drucker's "Technology and Society in the 20th century" and Alvin Toffer's "The First, Second and Third Wave"
Data Science: History repeated? – The heritage of the Free and Open Source GI...Peter Löwe
Data Science is described as the process of knowledge extraction from large data sets by means of scientific
methods. The discipline draws heavily from techniques and theories from many fields, which are jointly used to
furthermore develop information retrieval on structured or unstructured very large datasets. While the term Data
Science was already coined in 1960, the current perception of this field places is still in the first section of the hype cycle according to Gartner, being well en route from the technology trigger stage to the peak of inflated
expectations.
In our view the future development of Data Science could benefit from the analysis of experiences from
related evolutionary processes. One predecessor is the area of Geographic Information Systems (GIS). The
intrinsic scope of GIS is the integration and storage of spatial information from often heterogeneous sources, data
analysis, sharing of reconstructed or aggregated results in visual form or via data transfer. GIS is successfully
applied to process and analyse spatially referenced content in a wide and still expanding range of science
areas, spanning from human and social sciences like archeology, politics and architecture to environmental and
geoscientific applications, even including planetology.
This paper presents proven patterns for innovation and organisation derived from the evolution of GIS,
which can be ported to Data Science. Within the GIS landscape, three strategic interacting tiers can be denoted: i) Standardisation, ii) applications based on closed-source software, without the option of access to and analysis of the implemented algorithms, and iii) Free and Open Source Software (FOSS) based on freely accessible program code enabling analysis, education and ,improvement by everyone. This paper focuses on patterns gained from the synthesis of three decades of FOSS development. We identified best-practices which evolved from long term FOSS projects, describe the role of community-driven global umbrella organisations such as OSGeo, as well as the standardization of innovative services. The main driver is the acknowledgement of a meritocratic attitude.
These patterns follow evolutionary processes of establishing and maintaining a web-based democratic culture
spawning new kinds of communication and projects. This culture transcends the established compartmentation and
stratification of science by creating mutual benefits for the participants, irrespective of their respective research
interest and standing. Adopting these best practices will enable
data science history / data science @ NYTchris wiggins
talk delivered 2015-07-29 at ICERM workshop on "mathematics in data science"
workshop: https://icerm.brown.edu/topical_workshops/tw15-6-mds/
references: http://bit.ly/icerm
An overview of History and Philosophy of Science, dissecting terms such as History, Philosophy and its focal point science, correlating history of science and philosophy of science, tackeling about other essential information such as scientific method, paradigms and the role of History and Philosophy of Science in Science classroom. This is such a great help to inspire teachers and soon to be on how they can integrate their learning's in this subject to further enhance more science teaching.
Making of scientific, industrial and arrogant Europe (Paper presented at the ...Rajesh Kochhar
Throughout the 19th century in its encounters with the East Europe was in a learning mode. Cultural superiority and racial arrogance set in in England in the 1830s.
These slides are about the science and technology in the 20th century. This presentation also discusses the changes in the society particularly in the Western countries. It is based on the works of Peter Drucker's "Technology and Society in the 20th century" and Alvin Toffer's "The First, Second and Third Wave"