The Science and Industry Endowment Fund: Supporting the Development of Australian Science

2015 ◽  
Vol 26 (1) ◽  
pp. 58
Author(s):  
Susan Smith ◽  
Thomas H. Spurling
Keyword(s):  
Industrial Research ◽  
Industry Research ◽  
Endowment Fund ◽  
Research Organisation ◽  
Australian Science ◽  
Australian Universities

The Science and Industry Endowment Fund (SIEF) was established in 1926 by the passage in the Parliament of the Commonwealth of Australia of the Science and Industry Endowment Act at the same time as the Science and Industry Research Act established the Council for Scientific and Industrial Research. The SIEF played a major role in funding the training of Australian research workers from 1926 to 1950 and funded much of the research carried out in Australian universities in the pre-war period. This paper documents the activities of the SIEF from its inception in 1926 until inflation eroded the value of the Fund in the 1970s. The Fund was later reinvigorated by the injection of $150 million by the Commonwealth Scientific and Industrial Research Organisation between 2009 and 2010.

Joseph Mark Gani 1924–2016

2019 ◽  
Vol 30 (1) ◽  
pp. 32
Author(s):  
Eugene Seneta
Keyword(s):  
Academic Career ◽  
Stochastic Modelling ◽  
Industrial Research ◽  
Applied Probability ◽  
Santa Barbara ◽  
Research Organisation ◽  
Epidemic Theory ◽  
National University ◽  
Visionary Leader ◽  
Csiro Division

Joe Gani, as he was universally known, was born in Cairo, Egypt, on 15 December 1924 and died in Canberra on 12 April 2016. A visionary leader, mentor, and brilliant organizer, he created the Journal of Applied Probability, and was Chief of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) Division of Mathematics and Statistics. A distinguished academic career included posts at the Universities of Sheffield, Kentucky, California at Santa Barbara, and the Australian National University. His numerous research contributions are dominated by stochastic modelling, especially epidemic theory.

scholarly journals Sir Frederick William George White, C. B. E., 26 May 1905 - 17 August 1994

1996 ◽  
Vol 42 ◽  
pp. 497-521
Keyword(s):  
World War Ii ◽  
New Zealand ◽  
Scientific Research ◽  
Industrial Research ◽  
Early Age ◽  
Professional Lives ◽  
World War ◽  
Profound Influence ◽  
Australian Council ◽  
Australian Science

Sir Frederick White was one of the most influential men in Australian science during and after World War II. At the comparatively early age of 39, he resigned from his Chair of Physics at Canterbury College, University of New Zealand, to become an Executive Officer of the Australian Council for Scientific and Industrial Research (C.S.I.R.). Many years later he was to write ‘In doing so I abandoned any future personal activity in scientific research. I have never regretted doing so.’ His acceptance of the challenge to participate in leading C.S.I.R. had a profound influence on the advancement of Australian science and on the professional lives of the scientists involved.

scholarly journals Estimación de la subida del nivel del mar por efecto del Cambio Climático mediante datos de mareógrafos y la serie de satélie

2019 ◽  
Vol 39 (1) ◽  
pp. 39-58
Author(s):  
Dadiel Ibarra Marinas ◽  
Touria Dawahidi ◽  
Francisco Gomariz-Castillo
Keyword(s):  
Sea Level ◽  
Industrial Research ◽  
Representative Concentration Pathway ◽  
Mean Sea Level ◽  
Research Organisation ◽  
Península Ibérica

La subida del nivel del mar es una de las consecuencias más relevantes derivado del Cambio Climático. Los estudios relacionados con la subida del nivel del mar muestran una gran variabilidad espacial. Este trabajo se ha centrado en el área litoral de la ciudad de Valencia, situada en el Mediterráneo de la Península Ibérica. La proyección de la subida del nivel del mar se ha estimado a partir de altimetrías multimisión de satélite y del Commonwealth Scientific and Industrial Research Organisation para los escenarios Representative Concentration Pathway RCP2.6, RCP4.5 y RCP8.5, regionalizados mediante regresión lineal y los registros históricos de los mareógrafos del Permanent Servicefor Mean Sea Level. Los resultados muestran incrementos entre 27,59 y 143,63 cm, (R2= 0,62 para mareógrafos y R2=0,37 para satélites), para finales del S.XXI. Las consecuencias implican la intensificación del efecto de los temporales marítimos y el aumento de la vulnerabilidad de las áreas costeras.

scholarly journals Art and Science as Creative Catalysts

Leonardo ◽  
2016 ◽  
Vol 49 (5) ◽  
pp. 452-453 ◽  
Author(s):  
Eleanor Gates-Stuart ◽  
Chuong Nguyen ◽  
Matt Adcock ◽  
Jay Bradley ◽  
Matthew Morell ◽  
...  
Keyword(s):  
Industrial Research ◽  
Art And Science ◽  
Science And Art ◽  
Research Organisation ◽  
Creativity And Innovation

Science, Art and Science Art collaborations are generally presented and understood in terms of their products. The authors argue that the process of Science Art can be a significant—perhaps the principal—benefit of these collaborations even though the process may be largely invisible to anyone other than the collaborators. Hosting the Centenary of Canberra Science Art Commission at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) has shown the authors that while Science and Art pursue orthogonal dimensions of creativity and innovation, collaborators can combine these directions to access new areas of imagination and ideas.

scholarly journals How Artificial Intelligence and Machine Learning can Assist in Collections Curation

2019 ◽  
Vol 3 ◽  
Author(s):  
Simon Checksfield
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
General Public ◽  
Intrinsic Value ◽  
Industry Research ◽  
Research Organisation ◽  
The World ◽  
Genetic Barcoding ◽  
The Impact

With increasing pressure on the limited taxonomical expertise in not only Commonwealth Scientific and Industry Research Organisation (CSIRO) but the world, new and innovative ways need to be found to assist in the curation and identification of biological specimens. CSIRO, through the National Research Collections Australia (NRCA) and Data 61 is hoping to begin a new program of work focused on using Artificial Intelligence (AI) and Machine Learning to build a framework and tools that can help identify a specimen from an image. The framework will include AI models that have been trained by expert taxonomists, thus providing a level of accuracy that has some intrinsic value. NRCA is also exploring how AI could be linked or cross referenced with another initiative using rapid genetic barcoding to identify all newly collected specimens. Combining genetic and AI determinations will add weight to each, and potentially expose some new AI challenges, such as identifying morphological elements against genomic elements. Whilst acknowledging challenges still exist regarding standards, acceptance of identification, provenance, accuracy and governance, the NRCA is hoping AI can assist in freeing the time of our researchers and technicians to work on more pressing and complex issues by reducing their time spent on basic identification. The impact of such a program will also reach into industry and the general public through tools based on the AI models. There is also an opportunity to use this initiative to create global centers of taxonomic expertise, which anyone can use to help identify a specimen.

scholarly journals From Science to Heritage: the History of a Wood Collection

2014 ◽  
Vol 25 (1) ◽  
pp. 43 ◽  
Author(s):  
John Dargavel ◽  
Philip D. Evans ◽  
Gordon Dadswell
Keyword(s):  
Wood Anatomy ◽  
Industrial Research ◽  
Research Organisation ◽  
National University ◽  
History Of ◽  
Scientific Collections ◽  
Microscope Slides

There is a process by which scientific collections become heritage. The case of a wood collection, or xylarium, at the Australian National University (ANU) is discussed from its start in the Commonwealth Forestry Bureau in 1926, its association with the Council for Scientific and Industrial Research/Commonwealth Scientific and Industrial Research Organisation from 1928, its transfer to ANU in 1965, its manifold uses at ANU, and its decline and heritage assessment in 2011. The collection, consisting of 8,400 wood samples, microscope slides, panels and artefacts, was used for teaching forestry students, research into wood anatomy, and for identifying timber. Its future is uncertain.

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