A presentation for the 4S conference in Sydney, September 2018. Focus on knowledge development during he transition from an analogue to digital data environment and the epistemic risks and possibilities inherent in that process.
Peter Levesque explores the critical areas of measuring, interpreting, and analyzing results to ensure continual improvement of KT activities to produce intended results.
Sdal pires, bianica, riots in an urban slum 140813kimlyman
In order to understand the relationship between people, physical space, and future change, a diverse set of methods is used that focuses around three main research areas: agent-based modeling (ABM), geographical information science (GIS) and social network analysis (SNA). The intersection between these research areas can be represented through computational social science (CSS), which lies at the foundation of this research as it represents the interdisciplinary science that uses computational modeling and related techniques to study complex social systems. A computational model of the riots that broke-out in an urban slum after the 2007 Kenyan presidential election is used to demonstrate the value of integrating these research areas. Characteristics such as poverty, overpopulation, and a growing youth bulge put urban slums at greater risk for violence. Using empirical data for which to build the landscape and provide agents with unique attributes, an ABM is integrated with SNA and GIS to simulate the outbreak of riots. The model investigates the role individual identity, group identity, and social influence played on the occurrence and intensity of riots. Model results find that the cyclical nature in the emergence and dissolution of rioting is due to positive reinforcement, an effect that can be largely attributed to the agents’ social networks, and thus their interactions and influences through these networks. Riots arise from the interactions between individuals with unique attributes, all within a connected social network over a physical environment. In order to gain a better understanding of the macro-level patterns that emerge, the nonlinear and reinforcing nature of this system is modeled from the bottom-up.
2014 254102 Professional and Ethical Practice writing workshop 1Martin McMorrow
This presentation is designed for students enrolled in the Ethical and Professional Practice paper [254.102] at Massey University, New Zealand. It highlights key issues related to writing the first assignment in the course.
SDAL addresses social science in new ways that will transform how we understand the world. Among our goals: creating smart and resilient cities, combatting homelessness, understanding the spread of disease and developing effective public health responses, identifying innovation drivers, and meeting the demand for educated graduates in the field.
Sdal air health and social development (jan. 27, 2014) finalkimlyman
The American Institutes for Research (AIR) and Virginia Tech are collaborating to explore and develop new approaches to combining, manipulating and understanding big data. The two are also looking at how big data analytics can help answer questions critical to solving issues in education, workforce, health, and human and social development. They held two workshops on January 7 and 27, 2014- the first on Education and Workforce Analytics and the second on Health and Social Development Analytics.
Peter Levesque explores the critical areas of measuring, interpreting, and analyzing results to ensure continual improvement of KT activities to produce intended results.
Sdal pires, bianica, riots in an urban slum 140813kimlyman
In order to understand the relationship between people, physical space, and future change, a diverse set of methods is used that focuses around three main research areas: agent-based modeling (ABM), geographical information science (GIS) and social network analysis (SNA). The intersection between these research areas can be represented through computational social science (CSS), which lies at the foundation of this research as it represents the interdisciplinary science that uses computational modeling and related techniques to study complex social systems. A computational model of the riots that broke-out in an urban slum after the 2007 Kenyan presidential election is used to demonstrate the value of integrating these research areas. Characteristics such as poverty, overpopulation, and a growing youth bulge put urban slums at greater risk for violence. Using empirical data for which to build the landscape and provide agents with unique attributes, an ABM is integrated with SNA and GIS to simulate the outbreak of riots. The model investigates the role individual identity, group identity, and social influence played on the occurrence and intensity of riots. Model results find that the cyclical nature in the emergence and dissolution of rioting is due to positive reinforcement, an effect that can be largely attributed to the agents’ social networks, and thus their interactions and influences through these networks. Riots arise from the interactions between individuals with unique attributes, all within a connected social network over a physical environment. In order to gain a better understanding of the macro-level patterns that emerge, the nonlinear and reinforcing nature of this system is modeled from the bottom-up.
2014 254102 Professional and Ethical Practice writing workshop 1Martin McMorrow
This presentation is designed for students enrolled in the Ethical and Professional Practice paper [254.102] at Massey University, New Zealand. It highlights key issues related to writing the first assignment in the course.
SDAL addresses social science in new ways that will transform how we understand the world. Among our goals: creating smart and resilient cities, combatting homelessness, understanding the spread of disease and developing effective public health responses, identifying innovation drivers, and meeting the demand for educated graduates in the field.
Sdal air health and social development (jan. 27, 2014) finalkimlyman
The American Institutes for Research (AIR) and Virginia Tech are collaborating to explore and develop new approaches to combining, manipulating and understanding big data. The two are also looking at how big data analytics can help answer questions critical to solving issues in education, workforce, health, and human and social development. They held two workshops on January 7 and 27, 2014- the first on Education and Workforce Analytics and the second on Health and Social Development Analytics.
e-SIDES workshop at ICE-IEEE Conference, Madeira 28/06/2017e-SIDES.eu
On June 28, the e-SIDES team members made a presentation of the project at the ICE/IEEE Conference 2017 in Madeira. The workshop "Societal and Ethical Challenges in the Era of Big Data: Exploring the emerging issues and opportunities of big data management and analytic" welcomed a high-level international academic and government audience, such as professors and researchers, to present the initial analysis of the key challenges.
Big data, new epistemologies and paradigm shiftsrobkitchin
This presentation examines how the availability of Big Data, coupled with new data analytics, challenges established epistemologies across the sciences, social sciences and humanities, and assesses the extent to which they are engendering paradigm shifts across multiple disciplines.
Keynote Analytics Week, Boston, MA November 7, 2014
Big Data is in its infancy and is opening the door to profound change - Grand Opportunities (Accelerating Scientific Discovery) and Grand Challenges to be addressed over the next decade. We explore the premise that Data Science is to data-intensive discovery as the Scientific Method is to scientific discovery, leading us to potential Laws and Limits of Data Science, and then to Best Practices.
This discussion, covened by the Dubai Future Foundation, focusses on identifying the significance of the concept of well-being for social-science and policy; and the opportunities to measure it at scale.
Learning Analytics – Ethical questions and dilemmasTore Hoel
Workshop presentation using the Potter Box model of ethical reasoning to discuss concerns and dilemmas of Learning analytics - Open Discovery Space and Learning Analytics Community Exchange projects #laceproject #ods_eu
Systemic Learning Analytics Symposium, October 10th 2013Adam Cooper
Slides for the talk "Barriers and Pitfalls to Systemic Learning Analytics" by Adam Cooper, Cetis, for the online Systemic Learning Analytics Symposium, organised by George Siements and held on October 10th 2013.
Related blog post at: http://blogs.cetis.ac.uk/adam/2013/10/31/policy-and-strategy-for-systemic-deployment-of-learning-analytics-barriers-and-potential-pitfalls/
See http://blogs.cetis.ac.uk/adam/2013/10/31/policy-and-strategy-for-systemic-deployment-of-learning-analytics-barriers-and-potential-pitfalls/ for an extended blog post on the subject.
Big Data can generate, through inferences, new knowledge and perspectives. The paradigm that results from using Big Data creates new opportunities. Big Data has great influence at the governmental level, positively affecting society. These systems can be made more efficient by applying transparency and open governance policies, such as Open Data. After developing predictive models for target audience behavior, Big Data can be used to generate early warnings for various situations. There is thus a positive feedback between research and practice, with rapid discoveries taken from practice.
DOI: 10.13140/RG.2.2.14677.17120
Climate change policy and the moral agency of CCS technologies - Presentation from Matthew Cotton (University of Sheffield) at the UKCCSRC's CCS: Issues in governance and ethics workshop in Edinburgh, 23 September 2014
Kicking off the INCENTIVE project with an intro to the CS Principles and Char...Margaret Gold
-The Citizen Science Lab at Leiden University
- The core concept of the INCENTIVE project
- The ECSA 10 Principles of Citizen Science
- The ECSA Characteristics of Citizen Science
e-SIDES workshop at BDV Meet-Up, Sofia 14/05/2018e-SIDES.eu
The following presentation was given at the workshop "Technology solutions for privacy issues: what is the best way forward?" organized by e-SIDES at the BDVe Meet-up in Sofia on May 14, 2018. The workshop, chaired by Gabriella Cattaneo from IDC, involved stakeholders from ICT-18 projects.
A Digital Twin for Population Ageing in Australia: Data Visualisation and Soc...Hamish Robertson
Presentation at the 2022 Australian Association of Gerontology on the possibilities of digital twinning for managing population ageing and associated issues.
e-SIDES workshop at ICE-IEEE Conference, Madeira 28/06/2017e-SIDES.eu
On June 28, the e-SIDES team members made a presentation of the project at the ICE/IEEE Conference 2017 in Madeira. The workshop "Societal and Ethical Challenges in the Era of Big Data: Exploring the emerging issues and opportunities of big data management and analytic" welcomed a high-level international academic and government audience, such as professors and researchers, to present the initial analysis of the key challenges.
Big data, new epistemologies and paradigm shiftsrobkitchin
This presentation examines how the availability of Big Data, coupled with new data analytics, challenges established epistemologies across the sciences, social sciences and humanities, and assesses the extent to which they are engendering paradigm shifts across multiple disciplines.
Keynote Analytics Week, Boston, MA November 7, 2014
Big Data is in its infancy and is opening the door to profound change - Grand Opportunities (Accelerating Scientific Discovery) and Grand Challenges to be addressed over the next decade. We explore the premise that Data Science is to data-intensive discovery as the Scientific Method is to scientific discovery, leading us to potential Laws and Limits of Data Science, and then to Best Practices.
This discussion, covened by the Dubai Future Foundation, focusses on identifying the significance of the concept of well-being for social-science and policy; and the opportunities to measure it at scale.
Learning Analytics – Ethical questions and dilemmasTore Hoel
Workshop presentation using the Potter Box model of ethical reasoning to discuss concerns and dilemmas of Learning analytics - Open Discovery Space and Learning Analytics Community Exchange projects #laceproject #ods_eu
Systemic Learning Analytics Symposium, October 10th 2013Adam Cooper
Slides for the talk "Barriers and Pitfalls to Systemic Learning Analytics" by Adam Cooper, Cetis, for the online Systemic Learning Analytics Symposium, organised by George Siements and held on October 10th 2013.
Related blog post at: http://blogs.cetis.ac.uk/adam/2013/10/31/policy-and-strategy-for-systemic-deployment-of-learning-analytics-barriers-and-potential-pitfalls/
See http://blogs.cetis.ac.uk/adam/2013/10/31/policy-and-strategy-for-systemic-deployment-of-learning-analytics-barriers-and-potential-pitfalls/ for an extended blog post on the subject.
Big Data can generate, through inferences, new knowledge and perspectives. The paradigm that results from using Big Data creates new opportunities. Big Data has great influence at the governmental level, positively affecting society. These systems can be made more efficient by applying transparency and open governance policies, such as Open Data. After developing predictive models for target audience behavior, Big Data can be used to generate early warnings for various situations. There is thus a positive feedback between research and practice, with rapid discoveries taken from practice.
DOI: 10.13140/RG.2.2.14677.17120
Climate change policy and the moral agency of CCS technologies - Presentation from Matthew Cotton (University of Sheffield) at the UKCCSRC's CCS: Issues in governance and ethics workshop in Edinburgh, 23 September 2014
Kicking off the INCENTIVE project with an intro to the CS Principles and Char...Margaret Gold
-The Citizen Science Lab at Leiden University
- The core concept of the INCENTIVE project
- The ECSA 10 Principles of Citizen Science
- The ECSA Characteristics of Citizen Science
e-SIDES workshop at BDV Meet-Up, Sofia 14/05/2018e-SIDES.eu
The following presentation was given at the workshop "Technology solutions for privacy issues: what is the best way forward?" organized by e-SIDES at the BDVe Meet-up in Sofia on May 14, 2018. The workshop, chaired by Gabriella Cattaneo from IDC, involved stakeholders from ICT-18 projects.
A Digital Twin for Population Ageing in Australia: Data Visualisation and Soc...Hamish Robertson
Presentation at the 2022 Australian Association of Gerontology on the possibilities of digital twinning for managing population ageing and associated issues.
Combining the quantitative and qualitative domains a geographic perspective u...Hamish Robertson
Slides from a presentation I did with Professor Jo Travaglia on the quant-qual 'divide' and its limitations from a geographical and visual perspective.
Slides form presentation at 2016 Australian Association of Gerontology on modelling dementias at finer geographies and implications for our understanding of demography-epidemiology and service demand aspects of the aged care equation.
Presentation at ENRGHI 2014 Portsmouth, UK about the role of spatial visualization as exploratory science in coping with disease conditions for which we have limited data.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
5. The Small Data Paradigm Seen in the Rear View Mirror
• Hacking’s 1820‐1840 avalanche of numbers ‐ when social quantification
began in earnest
• Who gets counted (or not) often equals a politics of representation ‐
• Where they get counted (crime, education, health) and where not
• How the data is analysed and used – not just reporting
• What analysis methods are applied? – underlying assumptions of same
• Resulting knowledge production paradigms are often highly morally loaded
– social sciences and the ‘deviant’ or the ‘pathological’
(Canguilhem/Foucault) for example
• Data supporting technologies of power – prison, hospital, school
13. Spatial and Epistemic Contradictions
• But quantifying beliefs is not the same thing as quantifying knowledge
• (Social) Quantification is not a neutral process – who measures and how
both matter, now under an analogue to digital transition
• Increasingly digital quantification compounds some of these risks
• Spatial quantification and representation are now the norm (satellites,
drones, computer mapping etc.) – civilian and military technologies
increasingly enmeshed ‐> Google Earth/Keyhole/CIA etc.
• Cartography is increasingly ‘map‐ematical’ (Joseph Berry), a mix of
maths and stats in combination with high technology of varying types
and scales (remote sensing, GIS, GPS, Lidar, ‘drones’ etc.)
• How do 19th century beliefs play out in the 21st century under
digitisation? – mapping was power, instruments have their own effects
16. Conclusion
• The risks of datafication are under increasing scrutiny – this is a good thing
• The epistemology of data‐informed science and social policy is getting
genuine, intensive attention – but knowledge is contested and political
• The monetisation of data and its consequences are now a part of the
discussion – who benefits and how?
• Spatial science is a pivotal locus for some of this inquiry – important
military/civilian applications and a lack of separation
• Social judgements, now informed by data/measurement/datafication are in
many cases residuals of another, analogue data environment
• The morally loaded heuristics generated by that analogue data era are alive
and well in the present (conservative ideologies)
• This is a significant issue of concern for unequal social regulation via
contemporary and emerging technologies