Dissemination of the Lawrence Berkeley Laboratory Archaeometric & Archaeologi...Matthew T. Boulanger
Invited presentation for the "Using tDAR [the Digital Archaeological Record] for Management, Research, and Education" symposium at the 77th Annual Meeting of the Society for American Archaeology, Memphis, TN.
Pingar chief research officer Alyona Medelyan presents research conducted jointly with Anna Divoli at the Human Computer Information Retrieval workshop 2011.
How Taxonomies and facets bring end users closer to big dataPeter Wren-Hilton
Pingar researcher Dr Anna Divoli's presentation given at the 2012 Text Analytics World Boston. Content includes discussion of taxonomies and big data,.
Dissemination of the Lawrence Berkeley Laboratory Archaeometric & Archaeologi...Matthew T. Boulanger
Invited presentation for the "Using tDAR [the Digital Archaeological Record] for Management, Research, and Education" symposium at the 77th Annual Meeting of the Society for American Archaeology, Memphis, TN.
Pingar chief research officer Alyona Medelyan presents research conducted jointly with Anna Divoli at the Human Computer Information Retrieval workshop 2011.
How Taxonomies and facets bring end users closer to big dataPeter Wren-Hilton
Pingar researcher Dr Anna Divoli's presentation given at the 2012 Text Analytics World Boston. Content includes discussion of taxonomies and big data,.
Making Small Data BIG (UT Austin, March 2016)Kerstin Lehnert
Presentation given at the Texas Advanced Computing Center. It describes the potential of re-using small data for new science, achievements and the challenges to make small data re-usable.
2015 05 Scaling from seeds to ecosystemsTimeScience
A presentation on my work to the Robert Mahony's lab at the ARC Centre of Excellence for Robotic Vision at ANU.
Video here: http://youtu.be/IGPZSZn_zzw
Machine Learning, FOSS, and open data to map deforestation trends in the Braz...Astraea, Inc.
Monitoring deforestation across the globe is important for understanding macro-scale impacts on carbon sequestration and climate change. We trained a land cover machine learning model to monitor forest changes anywhere in the world. Our effort combines Apache Spark’s distributed machine learning, raster operations from LocationTech GeoTrellis, and the newly open-sourced RasterFrames library. RasterFrames let us apply GeoTrellis raster operations within Spark SQL, thereby homogenizing imagery queries and streamlining feature engineering. Using approximately 2,000 hand-labelled sites scattered across every continent and coarse resolution (500-m) surface reflectance products from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellites, our model achieves an estimated accuracy of 95%, a user’s accuracy (recall) of 79%, and a producer’s accuracy (precision) of 95%. We scored this model on the State of Mato Grosso in Brazil, which has seen intense deforestation over the past several decades. We mapped and visualized forest change in Mato Grosso over the past 17 years.
By Jason Brown and Courtney Whalen
AusPlots field data collection with AusScribeTERN Australia
The presentation provides an overview of AuScribe, an Android-based ecology field survey App based on AusPLots Rangelands Survey Protocols Manual. The presentation is part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond
Franz et al ice 2016 addressing the name meaning drift challenge in open ende...taxonbytes
Presentation for the Symposium: Building the Biodiversity Knowledge Graph for Insects – Components, Progress, and Challenges; 2016 XXV International Congress of Entomology, Orlando, FL – September 26, 2016 (#ICE2016). See https://esa.confex.com/esa/ice2016/meetingapp.cgi/Session/24482
Franz 2017 uiuc cirss non unitary syntheses of systematic knowledgetaxonbytes
Invited Presentation given at the University of Illinois Urbana Champaign iSchool, Center for Informatics Research in Science and Scholarship, CIRSS Seminar, Friday, February 17, 2017.
TraitCapture: NextGen phenomics tools for lab and field [ComBio2015]TimeScience
Presentation given at ComBio2015.
Abstract:
Effectively addressing the environmental, land management and food production challenges of the 21st century requires exponential increases in our ability to understand and model ecosystem and agricultural processes. Lab approaches enable accurate measurement of the genetic and environmental basis of yield and fitness traits. In the field, we can fit models to predict how genotype/environment interactions scale to ecosystems. High-throughput phenomics in the lab can precisely phenotype thousands of plants under simulated climates. Full-genome sequencing and Genome-Wide Association Studies are used to dissect how traits emerge as an interaction between genes and environment. However, this high-dimensional data analysis is challenging and scaling such to the field is difficult. In the field we can use new monitoring technologies (UAVs, sensor networks, etc.) and cloud-based computation to monitor the environment at unprecedented resolutions. But our ability to collect data is rapidly outstripping capacity to visualize and analyzing these data. Lack of data standards and open-source software are a major limiting factor in our ability to effectively make use of complex research data. TraitCapture is an open-source high-throughput phenotyping system combining multispectral lighting and environmental controls simulating regional or climate-shifted growth conditions with real-time phenotyping of 2,000 plants/month. Plant sequence data and phenotypes are co-analyzed with GWAS to identify heritable traits. The Phenomic-Environmental-Sensing-Array (PESA) is a field-based system at the National Arboretum in Canberra, Australia that combines traditional and “NextGen” monitoring (weather, microclimate sensor networks, precision dendrometers, UAV time-lapse imaging, high-density LiDAR, phenocams and gigapixel-resolution time-lapse imaging. The site has biologically significant microclimate variation and a multi-year drought trial. Phenomic and environmental data, combined with tree genomic data, allow us to examine how environment and genetics shape phenotype and how the site microclimate changes with forest maturation. All software tools are web-based, open-source and work with both lab and field datasets.
Franz sterner tdwg 2016 new power balance needed for trustworthy biodiversity...taxonbytes
View a video recording here: https://vimeo.com/195024485
Franz & Sterner @ #TDWG16 - "A new power balance is needed for trustworthy biodiversity data". Talk # 1134, Friday, December 09, 2016, 11:30 am. Session Contributed Papers 05: Data Gaps, Trust, Knowledge Acquisition. See https://mbgserv18.mobot.org/ocs/index.php/tdwg/tdwg2016/schedConf/program
Vince smith-delivering biodiversity knowledge in the information age-notextVince Smith
Smith, V.S. 2013. Delivering biodiversity knowledge in the information age. Hellenic Botanical Society, Thessaloniki, Greece, 3-6 Oct. 2013. [Delivered via video link through Google Hangouts]
Making Small Data BIG (UT Austin, March 2016)Kerstin Lehnert
Presentation given at the Texas Advanced Computing Center. It describes the potential of re-using small data for new science, achievements and the challenges to make small data re-usable.
2015 05 Scaling from seeds to ecosystemsTimeScience
A presentation on my work to the Robert Mahony's lab at the ARC Centre of Excellence for Robotic Vision at ANU.
Video here: http://youtu.be/IGPZSZn_zzw
Machine Learning, FOSS, and open data to map deforestation trends in the Braz...Astraea, Inc.
Monitoring deforestation across the globe is important for understanding macro-scale impacts on carbon sequestration and climate change. We trained a land cover machine learning model to monitor forest changes anywhere in the world. Our effort combines Apache Spark’s distributed machine learning, raster operations from LocationTech GeoTrellis, and the newly open-sourced RasterFrames library. RasterFrames let us apply GeoTrellis raster operations within Spark SQL, thereby homogenizing imagery queries and streamlining feature engineering. Using approximately 2,000 hand-labelled sites scattered across every continent and coarse resolution (500-m) surface reflectance products from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellites, our model achieves an estimated accuracy of 95%, a user’s accuracy (recall) of 79%, and a producer’s accuracy (precision) of 95%. We scored this model on the State of Mato Grosso in Brazil, which has seen intense deforestation over the past several decades. We mapped and visualized forest change in Mato Grosso over the past 17 years.
By Jason Brown and Courtney Whalen
AusPlots field data collection with AusScribeTERN Australia
The presentation provides an overview of AuScribe, an Android-based ecology field survey App based on AusPLots Rangelands Survey Protocols Manual. The presentation is part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond
Franz et al ice 2016 addressing the name meaning drift challenge in open ende...taxonbytes
Presentation for the Symposium: Building the Biodiversity Knowledge Graph for Insects – Components, Progress, and Challenges; 2016 XXV International Congress of Entomology, Orlando, FL – September 26, 2016 (#ICE2016). See https://esa.confex.com/esa/ice2016/meetingapp.cgi/Session/24482
Franz 2017 uiuc cirss non unitary syntheses of systematic knowledgetaxonbytes
Invited Presentation given at the University of Illinois Urbana Champaign iSchool, Center for Informatics Research in Science and Scholarship, CIRSS Seminar, Friday, February 17, 2017.
TraitCapture: NextGen phenomics tools for lab and field [ComBio2015]TimeScience
Presentation given at ComBio2015.
Abstract:
Effectively addressing the environmental, land management and food production challenges of the 21st century requires exponential increases in our ability to understand and model ecosystem and agricultural processes. Lab approaches enable accurate measurement of the genetic and environmental basis of yield and fitness traits. In the field, we can fit models to predict how genotype/environment interactions scale to ecosystems. High-throughput phenomics in the lab can precisely phenotype thousands of plants under simulated climates. Full-genome sequencing and Genome-Wide Association Studies are used to dissect how traits emerge as an interaction between genes and environment. However, this high-dimensional data analysis is challenging and scaling such to the field is difficult. In the field we can use new monitoring technologies (UAVs, sensor networks, etc.) and cloud-based computation to monitor the environment at unprecedented resolutions. But our ability to collect data is rapidly outstripping capacity to visualize and analyzing these data. Lack of data standards and open-source software are a major limiting factor in our ability to effectively make use of complex research data. TraitCapture is an open-source high-throughput phenotyping system combining multispectral lighting and environmental controls simulating regional or climate-shifted growth conditions with real-time phenotyping of 2,000 plants/month. Plant sequence data and phenotypes are co-analyzed with GWAS to identify heritable traits. The Phenomic-Environmental-Sensing-Array (PESA) is a field-based system at the National Arboretum in Canberra, Australia that combines traditional and “NextGen” monitoring (weather, microclimate sensor networks, precision dendrometers, UAV time-lapse imaging, high-density LiDAR, phenocams and gigapixel-resolution time-lapse imaging. The site has biologically significant microclimate variation and a multi-year drought trial. Phenomic and environmental data, combined with tree genomic data, allow us to examine how environment and genetics shape phenotype and how the site microclimate changes with forest maturation. All software tools are web-based, open-source and work with both lab and field datasets.
Franz sterner tdwg 2016 new power balance needed for trustworthy biodiversity...taxonbytes
View a video recording here: https://vimeo.com/195024485
Franz & Sterner @ #TDWG16 - "A new power balance is needed for trustworthy biodiversity data". Talk # 1134, Friday, December 09, 2016, 11:30 am. Session Contributed Papers 05: Data Gaps, Trust, Knowledge Acquisition. See https://mbgserv18.mobot.org/ocs/index.php/tdwg/tdwg2016/schedConf/program
Vince smith-delivering biodiversity knowledge in the information age-notextVince Smith
Smith, V.S. 2013. Delivering biodiversity knowledge in the information age. Hellenic Botanical Society, Thessaloniki, Greece, 3-6 Oct. 2013. [Delivered via video link through Google Hangouts]
FP7 Funded RI Project experiences: some overly honest tips from a project coo...Vince Smith
Smith, V.S. 2014. FP7 Funded RI Project experiences: some overly honest tips from a project coordinator, EC Horizon 2020 Research Infrastructures Information Day in at the Natural History Museum London, U.K. 18 June 2014.
No specimen left behind: Collections digitisation at the NHM, London*Vince Smith
Presentation on the Natural History Museum, London Digitisation Programme, given at the "Collections for the 21st Century" meeting in Gainesville, Florida, 5-6 May 2014
Assisted restructure of web content for paper-based presentation: a look at w...Vince Smith
Heaton, A., Rycroft, S., Baker, E., Bouton, K., Scott, B., Koureas, D., Livermore, L., Roberts, D., Smith, V. 2013 Assisted restructure of web content for paper-based presentation: a look at workflows and data representations. TDWG, Biodiversity Information Standards. Grand Hotel Mediterraneo Florence, Italy, 27 Oct - 1 Nov., 2013.
Bibliography of Life: Comprehensive services for biodiversity bibliographic r...Vince Smith
King, D., Sautter, G., Morse, D., Penev, L., Biserkov, J., Georgiev, T., Roberts, D., Smith, V. Bibliography of Life: Comprehensive services for biodiversity bibliographic references (POSTER). TDWG, Biodiversity Information Standards. Grand Hotel Mediterraneo Florence, Italy, 27 Oct - 1 Nov., 2013.
Scratchpads: the Virtual Research Environment for biodiversity dataVince Smith
Rycroft, S., Roberts, D., Smith, V., Heaton, A., Bouton, K., Livermore, L., Koureas, D., Baker, E. 2013. Scratchpads: the Virtual Research Environment for biodiversity data. TDWG, Biodiversity Information Standards. Grand Hotel Mediterraneo Florence, Italy, 27 Oct - 1 Nov., 2013.
Next generation sequencing requires next generation publishing: the Biodivers...Vince Smith
Penev, L., Stoev, P., Komericki, A., Akkari, N., Li, S., Zhou, X., Edmunds, S., Hunter, C., Weigand, A., Porco, D., Zapparoli, M., Georgiev, T., Mietchen, D., Roberts, D., Smith, V. 2013. Next generation sequencing requires next generation publishing: the Biodiversity Data Journal published the first eukaryotic new species with a fully sequenced transcriptome, DNA barcode and microcomputed tomography. TDWG, Biodiversity Information Standards. Grand Hotel Mediterraneo Florence, Italy, 27 Oct - 1 Nov.
Use it or lose it: crowdsourcing support and outreach activities in a hybrid ...Vince Smith
Koureas, D., Livermore, L., Roberts, D., Smith, V. 2013. Use it or lose it: crowdsourcing support and outreach activities in a hybrid sustainability model for e-infrastructures – the ViBRANT project case studies. TDWG, Biodiversity Information Standards. Grand Hotel Mediterraneo Florence, Italy, 27 Oct - 1 Nov., 2013.
Don't make me think: biodiversity data publishing made easyVince Smith
Presented by V. Smith at the 2013 iEvoBio Conference. Part of Evolution 2013, the joint annual meeting of the Society for the Study of Evolution (SSE), the Society of Systematic Biologists (SSB), and the American Society of Naturalists (ASN). June 21-26, 2013, Snowbird Alpine Village, Utah, USA.
Don’t make me think: biodiversity data publishing made easyVince Smith
Presented by Vince Smith at the iEvoBio 2013 meeting in Snowbird, Utah, USA on 25th June, 2013. The presentation coauthors are Alice Heaton, Laurence Livermore, Simon Rycroft and Ben Scott from the Natural History Museum, London, and Lyubomir Penev from Pensoft Publishing, Bulgaria.
Abhay Bhutada Leads Poonawalla Fincorp To Record Low NPA And Unprecedented Gr...Vighnesh Shashtri
Under the leadership of Abhay Bhutada, Poonawalla Fincorp has achieved record-low Non-Performing Assets (NPA) and witnessed unprecedented growth. Bhutada's strategic vision and effective management have significantly enhanced the company's financial health, showcasing a robust performance in the financial sector. This achievement underscores the company's resilience and ability to thrive in a competitive market, setting a new benchmark for operational excellence in the industry.
Lecture slide titled Fraud Risk Mitigation, Webinar Lecture Delivered at the Society for West African Internal Audit Practitioners (SWAIAP) on Wednesday, November 8, 2023.
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2. Elemental Economics - Mineral demand.pdfNeal Brewster
After this second you should be able to: Explain the main determinants of demand for any mineral product, and their relative importance; recognise and explain how demand for any product is likely to change with economic activity; recognise and explain the roles of technology and relative prices in influencing demand; be able to explain the differences between the rates of growth of demand for different products.
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Scratchpads: community tools for taxonomists
1. Scratchpads
“community tools for taxonomists”
Vincent S. Smith
Simon D. Rycroft Dave Roberts
2. Macro scale taxonomy
The big picture of taxonomic research
Goal…
• Inventory the Earth’s species
• Document their relationships
• “Publish” these data
Data set…
• 1.8M described species (10M names)
• 300M pages (over last 250 years)
• 1.5-3B specimens
People…
• 4-6,000 scientists
• 30-40,000 amateurs
• Many more citizen scientists?
3. Micro scale taxonomy
The practice of taxonomic research
Parochial…
• Specialised
• Experts
• Fragmented distributed
Methodological…
• Communities of practice
• Hard to record update
• High output but low impact
Different…
• Data
• Interpretations
• Methods How do we integrate micro macro taxonomy?