Asset Hub - Asset Data Management in Infrastructure-Rich OrganizationsCapgemini
One of the primary challenges that asset rich organizations face is the necessity to reduce large annual OPEX and CAPEX overheads. To meet this challenge a number of operational efficiencies and cost savings need to be identified within Asset Management. Collecting, managing and exploiting asset data in more effective ways can help to address these challenges and facilitate a reduction in cost.
This presentation identifies the improvements to asset data management required to support these business goals and sets out solutions to take forward.
First presented by Capgemini's Frank Hewett at Informatica World 2014.
Role of science communication for grass root level capacity building in eco-h...Pradip Sengupta
In this paper, the integrated approach followed has been described, and experiences and challenges are elaborated. Main conclusion is that appropriate science communication methodologies acted as key factors in successful capacity building in local people’s appreciation and initiatives in monitoring and conservation of ecohydrology.
This document discusses how data science will impact the future of finance and accounting functions. It outlines that data science technologies will automate many routine tasks, but will also require more technical and analytical skills. The lines between finance, accounting, and data science will blur as these fields converge. Examples of how data science could be applied include automatically generating presentations and earnings call text from financial data, and allowing natural language queries of financial performance. The document argues that traditional accounting focuses too much on averages and aggregates, limiting analysis, and that data science techniques can provide more detailed insights by analyzing raw transactional data at scale.
Alex Preda (UCL), Finance as a boundary science. What can social scientists b...Logic & Knowledge
Alex Preda (UCL), Finance as a boundary science. What can social scientists bring to the table?
Villa MIrafiori, Via Carlo Fea 2, Roma
12-13 June 2014, Room V
RIMS Update - Bridge Data Guidelines for Asset Management of Road BridgesSimon Gough
This document provides guidelines for collecting and managing bridge data to support advanced asset management of road bridges in New Zealand. It notes that close to 18,000 bridges nationally are critical infrastructure, and an aging local bridge stock requires an improved approach. The guidelines recommend collecting core, intermediate, and advanced levels of data to support basic, core, and advanced asset management. Data collection tools and performance criteria are outlined for different bridge types. Strategic application examples illustrate how data can inform assessment and investment decisions to achieve long-term, economically sustainable bridge infrastructure.
Data Science: Driving Smarter Finance and Workforce Decsions for the EnterpriseDataWorks Summit
The document discusses different levels of analytics maturity from reactive operational reporting to prescriptive analytics. It provides examples of analytics applications including predicting top talent retention and identifying abnormal patterns in organizational structures. The second half of the document focuses on building a state-of-the-art analytics system, outlining key components like data integration, machine learning pipelines for feature extraction, model training and evaluation, and publishing results.
Strategic Asset Management: Knowing Where to SpendOHM Advisors
It's not about spending more, it's about optimizing current spending - that was the message of Assetic's Brad Campbell at OHM Advisors 2015 Asset Management Planning Workshop in Midland, MI.
Asset Hub - Asset Data Management in Infrastructure-Rich OrganizationsCapgemini
One of the primary challenges that asset rich organizations face is the necessity to reduce large annual OPEX and CAPEX overheads. To meet this challenge a number of operational efficiencies and cost savings need to be identified within Asset Management. Collecting, managing and exploiting asset data in more effective ways can help to address these challenges and facilitate a reduction in cost.
This presentation identifies the improvements to asset data management required to support these business goals and sets out solutions to take forward.
First presented by Capgemini's Frank Hewett at Informatica World 2014.
Role of science communication for grass root level capacity building in eco-h...Pradip Sengupta
In this paper, the integrated approach followed has been described, and experiences and challenges are elaborated. Main conclusion is that appropriate science communication methodologies acted as key factors in successful capacity building in local people’s appreciation and initiatives in monitoring and conservation of ecohydrology.
This document discusses how data science will impact the future of finance and accounting functions. It outlines that data science technologies will automate many routine tasks, but will also require more technical and analytical skills. The lines between finance, accounting, and data science will blur as these fields converge. Examples of how data science could be applied include automatically generating presentations and earnings call text from financial data, and allowing natural language queries of financial performance. The document argues that traditional accounting focuses too much on averages and aggregates, limiting analysis, and that data science techniques can provide more detailed insights by analyzing raw transactional data at scale.
Alex Preda (UCL), Finance as a boundary science. What can social scientists b...Logic & Knowledge
Alex Preda (UCL), Finance as a boundary science. What can social scientists bring to the table?
Villa MIrafiori, Via Carlo Fea 2, Roma
12-13 June 2014, Room V
RIMS Update - Bridge Data Guidelines for Asset Management of Road BridgesSimon Gough
This document provides guidelines for collecting and managing bridge data to support advanced asset management of road bridges in New Zealand. It notes that close to 18,000 bridges nationally are critical infrastructure, and an aging local bridge stock requires an improved approach. The guidelines recommend collecting core, intermediate, and advanced levels of data to support basic, core, and advanced asset management. Data collection tools and performance criteria are outlined for different bridge types. Strategic application examples illustrate how data can inform assessment and investment decisions to achieve long-term, economically sustainable bridge infrastructure.
Data Science: Driving Smarter Finance and Workforce Decsions for the EnterpriseDataWorks Summit
The document discusses different levels of analytics maturity from reactive operational reporting to prescriptive analytics. It provides examples of analytics applications including predicting top talent retention and identifying abnormal patterns in organizational structures. The second half of the document focuses on building a state-of-the-art analytics system, outlining key components like data integration, machine learning pipelines for feature extraction, model training and evaluation, and publishing results.
Strategic Asset Management: Knowing Where to SpendOHM Advisors
It's not about spending more, it's about optimizing current spending - that was the message of Assetic's Brad Campbell at OHM Advisors 2015 Asset Management Planning Workshop in Midland, MI.
Webinar by Stephen Passmore (The Ecological Sequestration Trsut) and Rembrandt Koppelaar (IIER/ICL) that will explain the http://resilience.io platform focusing on its core capability in providing cross-sector decision support for a city and its hinterland.
We will provide an overview of how the resource-economic simulation model operates and provides the evidence in city region decision-making for investment, procurement, policy making, and planning, to achieve more resilient solutions. We will focus on the interconnections between resource flows from human and ecological agents as well as the socio-economic activity of people and companies, and how these deliver regional outputs.
Areas that we will be addressing include:
Resource flows and socio-economic model interconnections.
Links to planning, procurement, policy making, and investment decisions.
Data acquisition, maintenance, and sharing cross-sector and regional interdependencies.
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.
The NIH as a Digital Enterprise: Implications for PAGPhilip Bourne
The document discusses the NIH's vision of becoming a digital enterprise to enhance biomedical research. It outlines how research is becoming more digital and data-driven. The NIH aims to foster open sharing of data and tools through its Commons platform to facilitate collaboration and reproducibility. It also stresses the importance of training the next generation of data scientists to enable the digital enterprise. The end goal is to accelerate discovery and improve health outcomes through more integrated and data-driven research.
Opening/Framing Comments: John Behrens, Vice President, Center for Digital Data, Analytics, & Adaptive Learning Pearson
Discussion of how the field of educational measurement is changing; how long held assumptions may no longer be taken for granted and that new terminology and language are coming into the.
Panel 1: Beyond the Construct: New Forms of Measurement
This panel presents new views of what assessment can be and new species of big data that push our understanding for what can be used in evidentiary arguments.
Marcia Linn, Lydia Liu from UC Berkeley and ETS discuss continuous assessment of science and new kinds of constructs that relate to collaboration and student reasoning.
John Byrnes from SRI International discusses text and other semi-structured data sources and different methods of analysis.
Kristin Dicerbo from Pearson discusses hidden assessments and the different student interactions and events that can be used in inferential processes.
Panel 2: The Test is Just the Beginning: Assessments Meet Systems Context
This panel looks at how assessments are not the end game, but often the first step in larger big-data practices at districts/state/national levels.
Gerald Tindal from the University of Oregon discusses State data systems and special education, including curriculum-based measurement across geographic settings.
Jack Buckley Commissioner of the National Center for Educational Statistics discussing national datasets where tests and other data connect.
Lindsay Page, Will Marinell from the Strategic Data Project at Harvard discussing state and district datasets used for evaluating teachers, colleges of education, and student progress.
Panel 3: Connecting the Dots: Research Agendas to Integrate Different Worlds
This panel will look at how research organizations are viewing the connections between the perspectives presented in Panels 1 and 2; what is known, what is still yet to be discovered in order to achieve the promised of big connected data in education.
Andrea Conklin Bueschel Program Director at the Spencer Foundation
Ed Dieterle Senior Program Officer at the Bill and Melinda Gates Foundation
Edith Gummer Program Manager at National Science Foundation
1. The document discusses some early observations from the Associate Director for Data Science at the National Institutes of Health regarding data at NIH.
2. It notes that NIH does not fully understand how existing data is used, has focused more on why data should be shared rather than how to share it, and lacks plans for long-term sustainability of data.
3. Potential solutions discussed include developing a biomedical commons, modifying the review process, improving education in data science, and expanding the Big Data to Knowledge initiative. The goal is to create a digital research enterprise that better connects all aspects of the research lifecycle.
A Decision Support System for the Design and Evaluation of Durable Wastewater...AM Publications
To develop the waste water solutions challenging task. To design sustainable wastewater solution requires information about new ideas, new systems and latest technology. Generally it is assumed that, decision making needs to involve field experts and engineers to define values and brainstorms solution. This paper describes a decision support system model that is designed to help community planners to identify the solution which balance the environmental, economic and social needs. System will be scalable, adaptable and flexible. Our decision support system will take modular description of components and description of community constraints, suggest the design of alternative waste water system, and facilitates evaluating how well each design satisfies the given constraints. Decision support system will give alternatives with visualization of the effect of various trade-offs and their effect in the relation of the community’s goals.
A Decision Support System for the Design and Evaluation of Durable Wastewater...AM Publications
To develop the waste water solutions challenging task. To design sustainable wastewater solution requires information about new ideas, new systems and latest technology. Generally it is assumed that, decision making needs to involve field experts and engineers to define values and brainstorms solution. This paper describes a decision support system model that is designed to help community planners to identify the solution which balance the environmental, economic and social needs. System will be scalable, adaptable and flexible. Our decision support system will take modular description of components and description of community constraints, suggest the design of alternative waste water system, and facilitates evaluating how well each design satisfies the given constraints. Decision support system will give alternatives with visualization of the effect of various trade-offs and their effect in the relation of the community’s goals.
- Ecosystem services aim to incorporate the value of nature into decisions but have failed to fully understand social and ecological interconnectedness.
- Social science can help reveal the complex relationships between society and nature through participatory mapping of cultural values and lived experiences of ecosystems.
- An integrated project in the Cotswolds uses a social learning approach and participatory ecosystem services framework to engage farmers, businesses, communities and agencies in improving water quality and other services.
In this paper I will attempt to:
• Outline some of the systems of systems challenges that we will likely face.
• Discuss the emergent nature of both the challenges as well as the potential resultant outcomes.
• Draw attention to some of the driving forces acting both on this system of systems as well as the national and sectoral programs that may emerge to respond to this challenge.
• Highlight some of the feedback loops which may exist or emerge from both apparent and hidden coupling.
• Discuss system of system risks, program risks and where our perceptions and appetite for such risks may change over time.
• Outline some particular challenges for program managers as they are engaged in addressing this challenge.
Community resilience modeling, field studies and implementationMd.Asif Rahman
The document discusses modeling community resilience through the development of a virtual test community called Centerville. It describes creating standardized models of Centerville's physical infrastructure like buildings, roads, and electrical grid. It also models Centerville's social and economic attributes like demographics, employment, and critical facilities. The goal is to integrate these physical and social models to allow testing how disruptions impact infrastructure interdependencies and community resilience metrics. Researchers from different disciplines can collaborate using this testbed to develop and validate modeling approaches before applying them to real communities.
This document discusses various applications of big data across different domains. It begins by defining big data and its key characteristics of volume, variety and velocity. It then discusses how big data is being used in social media for recommendation systems, marketing, electioneering and influence analysis. Applications in healthcare discussed include personalized medicine, clinical trials, electronic health records, and genomics. Uses of big data in smart cities are also summarized, such as for smart transport, traffic management, smart energy, and smart governance. Specific examples and case studies are provided to illustrate the benefits and savings achieved from leveraging big data across these various sectors.
This document summarizes discussions from two DOE workshops on incorporating bioenergy into sustainable landscape designs. The workshops focused on how landscape design can help minimize negative impacts of bioenergy production while enhancing environmental services. Key questions included determining sufficient land availability without impacting food/conservation, appropriate crop selection, and water/biodiversity impacts. Participants agreed that landscape design showing spatially explicit resource allocation could help optimize food, feed, energy, fiber and conservation goals. Recommendations included developing partnerships, case studies, analytical tools, diverse crop varieties, and market stability to demonstrate landscape bioenergy systems.
Presented by Ian Hanou at the Trees, People, and Built Environment 3 Conference, Birmingham, England, April 2017. Geospatial mapping and analysis of the urban forest including tree inventories and Urban Tree Canopy (UTC) assessments have become commonplace tools in North America. Cities and environmental nonprofits use inventories to improve management and maintenance, and use UTC to develop a citywide benchmark, monitor change, inform master plans, and prioritize planting efforts to maximize benefits where they are lacking in the community. As a natural progression with recent GIS and mobile technology innovations, inventories and UTC data have been incorporated into online mapping programs to increase access to this information and ease-of-use for non-technical users.
Through a series of short case studies, this paper highlights some of the benefits, considerations, and impacts of bringing urban forestry data and prioritization tools into online mapping applications. Evidence suggests that such tools may increase awareness of the urban forest as an asset and a resource for community development, public health goals, and scenario planning. The collaboration that is created during an inclusive process to develop and implement such tools is discussed along with the role of tree professionals and nonprofits in UTC targets, followed by recommendations for practitioners.
PLASTIC DETECTION AND CLASSIFICATION USING DEEP LEARNING NEURAL NETWORKIRJET Journal
This document discusses using deep learning neural networks to classify plastic waste into different types to improve recycling. It proposes using a convolutional neural network model with a camera to identify plastic items and sort them into categories like PET, HDPE, PP, and LDPE. The system is intended to work on mobile devices for use at home or recycling plants. It collected image data of the different plastic types and evaluated models like VGG-16 to achieve accurate classification of plastics and increase recycling efficiency.
The document discusses guiding rural regions toward more open innovation strategies. It suggests moving away from the boundaries and hierarchies of the past towards embracing networks and collaboration. Specific strategies mentioned include developing regional food systems, energy systems, tourism clusters and innovation hubs to create new sources of wealth. The focus is on abandoning old recruitment approaches and fostering rural entrepreneurship through strategic doing, linking assets, and leveraging regional collaborations.
1. The document discusses using the SenseMaker approach to analyze over 1,000 stories collected from water users and professionals in Ghana to understand water service delivery beyond statistics.
2. Preliminary analysis of the stories showed patterns related to how users view water supply and professionals, their rights and responsibilities, and who should pay for water. It also showed challenges professionals face and opportunities for improvement.
3. Next steps include sharing the findings with stakeholders to identify issues needing attention, and institutionalizing the data collection and analysis into the sector's monitoring and evaluation system.
This slidedeck covers a scientific seminar presentation held at University of Georgia and Georgia State University in February 2024. It reviews research done on digital enablement of circularity principles such as reuse, recycle, and repair and provides an outlook to future research opportunities in this area.
PRODUCTIVITY OF AGILE TEAMS: AN EMPIRICAL EVALUATION OF FACTORS AND MONITORIN...Claudia Melo
Presenting my thesis during the National Thesis Contest in Computer Science - top 6 PhD Computer Science Thesis in Brasil/ 2013.
XXXIV Congresso da Sociedade Brasileira de Computação (CSBC 2014) - CTD.
We invite investment, in 3 categories, into a new Resilience Brokerage Fund RESBR to be used to complete development and deployment of a unique prototyped Resilience Brokerage software Platform resilience.io into most countries of the world by 2023. Resilience.io supports planning and investment in resilient city development, and has embedded Apps for the best clean technologies to be included in project pipelines.
We invite a minimum of 4 “Core Platform Builders” to invest $5m each for a 6 year term to receive annual interest and dividends.
We invite clean technology investors to invest $2m each for a 6 year term, to receive annual interest and use of the resilience.io platform with 4 Apps for their technologies added.
We invite Geographic investors to make a minimum grant investment of $500,000 for exclusive use of resilience.io in their region/country for integrated land use planning and investment.
Dr Xiaonan Wang presents the How to build resilience.io for sustainable urban energy and water systems, Energy seminar for The Energy Futures Lab at Imperial College, London on 2nd December 2016
More Related Content
Similar to Role of science, data and systems models - Stephen Passmore - Finance for #SDGs High Level Meeting – #financeforSDGs – Bellagio – 25-27 February 2015
Webinar by Stephen Passmore (The Ecological Sequestration Trsut) and Rembrandt Koppelaar (IIER/ICL) that will explain the http://resilience.io platform focusing on its core capability in providing cross-sector decision support for a city and its hinterland.
We will provide an overview of how the resource-economic simulation model operates and provides the evidence in city region decision-making for investment, procurement, policy making, and planning, to achieve more resilient solutions. We will focus on the interconnections between resource flows from human and ecological agents as well as the socio-economic activity of people and companies, and how these deliver regional outputs.
Areas that we will be addressing include:
Resource flows and socio-economic model interconnections.
Links to planning, procurement, policy making, and investment decisions.
Data acquisition, maintenance, and sharing cross-sector and regional interdependencies.
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.
The NIH as a Digital Enterprise: Implications for PAGPhilip Bourne
The document discusses the NIH's vision of becoming a digital enterprise to enhance biomedical research. It outlines how research is becoming more digital and data-driven. The NIH aims to foster open sharing of data and tools through its Commons platform to facilitate collaboration and reproducibility. It also stresses the importance of training the next generation of data scientists to enable the digital enterprise. The end goal is to accelerate discovery and improve health outcomes through more integrated and data-driven research.
Opening/Framing Comments: John Behrens, Vice President, Center for Digital Data, Analytics, & Adaptive Learning Pearson
Discussion of how the field of educational measurement is changing; how long held assumptions may no longer be taken for granted and that new terminology and language are coming into the.
Panel 1: Beyond the Construct: New Forms of Measurement
This panel presents new views of what assessment can be and new species of big data that push our understanding for what can be used in evidentiary arguments.
Marcia Linn, Lydia Liu from UC Berkeley and ETS discuss continuous assessment of science and new kinds of constructs that relate to collaboration and student reasoning.
John Byrnes from SRI International discusses text and other semi-structured data sources and different methods of analysis.
Kristin Dicerbo from Pearson discusses hidden assessments and the different student interactions and events that can be used in inferential processes.
Panel 2: The Test is Just the Beginning: Assessments Meet Systems Context
This panel looks at how assessments are not the end game, but often the first step in larger big-data practices at districts/state/national levels.
Gerald Tindal from the University of Oregon discusses State data systems and special education, including curriculum-based measurement across geographic settings.
Jack Buckley Commissioner of the National Center for Educational Statistics discussing national datasets where tests and other data connect.
Lindsay Page, Will Marinell from the Strategic Data Project at Harvard discussing state and district datasets used for evaluating teachers, colleges of education, and student progress.
Panel 3: Connecting the Dots: Research Agendas to Integrate Different Worlds
This panel will look at how research organizations are viewing the connections between the perspectives presented in Panels 1 and 2; what is known, what is still yet to be discovered in order to achieve the promised of big connected data in education.
Andrea Conklin Bueschel Program Director at the Spencer Foundation
Ed Dieterle Senior Program Officer at the Bill and Melinda Gates Foundation
Edith Gummer Program Manager at National Science Foundation
1. The document discusses some early observations from the Associate Director for Data Science at the National Institutes of Health regarding data at NIH.
2. It notes that NIH does not fully understand how existing data is used, has focused more on why data should be shared rather than how to share it, and lacks plans for long-term sustainability of data.
3. Potential solutions discussed include developing a biomedical commons, modifying the review process, improving education in data science, and expanding the Big Data to Knowledge initiative. The goal is to create a digital research enterprise that better connects all aspects of the research lifecycle.
A Decision Support System for the Design and Evaluation of Durable Wastewater...AM Publications
To develop the waste water solutions challenging task. To design sustainable wastewater solution requires information about new ideas, new systems and latest technology. Generally it is assumed that, decision making needs to involve field experts and engineers to define values and brainstorms solution. This paper describes a decision support system model that is designed to help community planners to identify the solution which balance the environmental, economic and social needs. System will be scalable, adaptable and flexible. Our decision support system will take modular description of components and description of community constraints, suggest the design of alternative waste water system, and facilitates evaluating how well each design satisfies the given constraints. Decision support system will give alternatives with visualization of the effect of various trade-offs and their effect in the relation of the community’s goals.
A Decision Support System for the Design and Evaluation of Durable Wastewater...AM Publications
To develop the waste water solutions challenging task. To design sustainable wastewater solution requires information about new ideas, new systems and latest technology. Generally it is assumed that, decision making needs to involve field experts and engineers to define values and brainstorms solution. This paper describes a decision support system model that is designed to help community planners to identify the solution which balance the environmental, economic and social needs. System will be scalable, adaptable and flexible. Our decision support system will take modular description of components and description of community constraints, suggest the design of alternative waste water system, and facilitates evaluating how well each design satisfies the given constraints. Decision support system will give alternatives with visualization of the effect of various trade-offs and their effect in the relation of the community’s goals.
- Ecosystem services aim to incorporate the value of nature into decisions but have failed to fully understand social and ecological interconnectedness.
- Social science can help reveal the complex relationships between society and nature through participatory mapping of cultural values and lived experiences of ecosystems.
- An integrated project in the Cotswolds uses a social learning approach and participatory ecosystem services framework to engage farmers, businesses, communities and agencies in improving water quality and other services.
In this paper I will attempt to:
• Outline some of the systems of systems challenges that we will likely face.
• Discuss the emergent nature of both the challenges as well as the potential resultant outcomes.
• Draw attention to some of the driving forces acting both on this system of systems as well as the national and sectoral programs that may emerge to respond to this challenge.
• Highlight some of the feedback loops which may exist or emerge from both apparent and hidden coupling.
• Discuss system of system risks, program risks and where our perceptions and appetite for such risks may change over time.
• Outline some particular challenges for program managers as they are engaged in addressing this challenge.
Community resilience modeling, field studies and implementationMd.Asif Rahman
The document discusses modeling community resilience through the development of a virtual test community called Centerville. It describes creating standardized models of Centerville's physical infrastructure like buildings, roads, and electrical grid. It also models Centerville's social and economic attributes like demographics, employment, and critical facilities. The goal is to integrate these physical and social models to allow testing how disruptions impact infrastructure interdependencies and community resilience metrics. Researchers from different disciplines can collaborate using this testbed to develop and validate modeling approaches before applying them to real communities.
This document discusses various applications of big data across different domains. It begins by defining big data and its key characteristics of volume, variety and velocity. It then discusses how big data is being used in social media for recommendation systems, marketing, electioneering and influence analysis. Applications in healthcare discussed include personalized medicine, clinical trials, electronic health records, and genomics. Uses of big data in smart cities are also summarized, such as for smart transport, traffic management, smart energy, and smart governance. Specific examples and case studies are provided to illustrate the benefits and savings achieved from leveraging big data across these various sectors.
This document summarizes discussions from two DOE workshops on incorporating bioenergy into sustainable landscape designs. The workshops focused on how landscape design can help minimize negative impacts of bioenergy production while enhancing environmental services. Key questions included determining sufficient land availability without impacting food/conservation, appropriate crop selection, and water/biodiversity impacts. Participants agreed that landscape design showing spatially explicit resource allocation could help optimize food, feed, energy, fiber and conservation goals. Recommendations included developing partnerships, case studies, analytical tools, diverse crop varieties, and market stability to demonstrate landscape bioenergy systems.
Presented by Ian Hanou at the Trees, People, and Built Environment 3 Conference, Birmingham, England, April 2017. Geospatial mapping and analysis of the urban forest including tree inventories and Urban Tree Canopy (UTC) assessments have become commonplace tools in North America. Cities and environmental nonprofits use inventories to improve management and maintenance, and use UTC to develop a citywide benchmark, monitor change, inform master plans, and prioritize planting efforts to maximize benefits where they are lacking in the community. As a natural progression with recent GIS and mobile technology innovations, inventories and UTC data have been incorporated into online mapping programs to increase access to this information and ease-of-use for non-technical users.
Through a series of short case studies, this paper highlights some of the benefits, considerations, and impacts of bringing urban forestry data and prioritization tools into online mapping applications. Evidence suggests that such tools may increase awareness of the urban forest as an asset and a resource for community development, public health goals, and scenario planning. The collaboration that is created during an inclusive process to develop and implement such tools is discussed along with the role of tree professionals and nonprofits in UTC targets, followed by recommendations for practitioners.
PLASTIC DETECTION AND CLASSIFICATION USING DEEP LEARNING NEURAL NETWORKIRJET Journal
This document discusses using deep learning neural networks to classify plastic waste into different types to improve recycling. It proposes using a convolutional neural network model with a camera to identify plastic items and sort them into categories like PET, HDPE, PP, and LDPE. The system is intended to work on mobile devices for use at home or recycling plants. It collected image data of the different plastic types and evaluated models like VGG-16 to achieve accurate classification of plastics and increase recycling efficiency.
The document discusses guiding rural regions toward more open innovation strategies. It suggests moving away from the boundaries and hierarchies of the past towards embracing networks and collaboration. Specific strategies mentioned include developing regional food systems, energy systems, tourism clusters and innovation hubs to create new sources of wealth. The focus is on abandoning old recruitment approaches and fostering rural entrepreneurship through strategic doing, linking assets, and leveraging regional collaborations.
1. The document discusses using the SenseMaker approach to analyze over 1,000 stories collected from water users and professionals in Ghana to understand water service delivery beyond statistics.
2. Preliminary analysis of the stories showed patterns related to how users view water supply and professionals, their rights and responsibilities, and who should pay for water. It also showed challenges professionals face and opportunities for improvement.
3. Next steps include sharing the findings with stakeholders to identify issues needing attention, and institutionalizing the data collection and analysis into the sector's monitoring and evaluation system.
This slidedeck covers a scientific seminar presentation held at University of Georgia and Georgia State University in February 2024. It reviews research done on digital enablement of circularity principles such as reuse, recycle, and repair and provides an outlook to future research opportunities in this area.
PRODUCTIVITY OF AGILE TEAMS: AN EMPIRICAL EVALUATION OF FACTORS AND MONITORIN...Claudia Melo
Presenting my thesis during the National Thesis Contest in Computer Science - top 6 PhD Computer Science Thesis in Brasil/ 2013.
XXXIV Congresso da Sociedade Brasileira de Computação (CSBC 2014) - CTD.
Similar to Role of science, data and systems models - Stephen Passmore - Finance for #SDGs High Level Meeting – #financeforSDGs – Bellagio – 25-27 February 2015 (20)
We invite investment, in 3 categories, into a new Resilience Brokerage Fund RESBR to be used to complete development and deployment of a unique prototyped Resilience Brokerage software Platform resilience.io into most countries of the world by 2023. Resilience.io supports planning and investment in resilient city development, and has embedded Apps for the best clean technologies to be included in project pipelines.
We invite a minimum of 4 “Core Platform Builders” to invest $5m each for a 6 year term to receive annual interest and dividends.
We invite clean technology investors to invest $2m each for a 6 year term, to receive annual interest and use of the resilience.io platform with 4 Apps for their technologies added.
We invite Geographic investors to make a minimum grant investment of $500,000 for exclusive use of resilience.io in their region/country for integrated land use planning and investment.
Dr Xiaonan Wang presents the How to build resilience.io for sustainable urban energy and water systems, Energy seminar for The Energy Futures Lab at Imperial College, London on 2nd December 2016
Stephen Passmore and Peter Head of The Ecological Sequestration Trust are joined by Bob Bishop of the International Centre for Earth Simulation to discuss there pioneering project creating Global to Local Scale, Human, Economic, Ecological, Systems Models
Stephen Passmore, Head of Platform Delivery, The Ecological Sequestration Trust presents the work on resilience.io in GAMA, Accra, Ghana over the previous 18 months to a World Cafe session at the Cities Alliance, Africa Strategy Workshop, Sept 2016
In June 2016, with the culmination of 18 months work by the the team from IIER, Imperial College, Future Earth Ltd and the Trust, we visited Accra to debut the WASH sector prototype of our modelling app at the Accra International Conference Centre, 22nd June 2016.
resilience.io is an open-source, collaborative
human, ecological, economic, resource systems, modelling platform to enable “public good”
we also showed this video https://www.youtube.com/watch?v=EGyCyxyatAQ
Installation
resilience.io Package Overview
Using the model –step by step
resilience.io Testing Capabilities (and Limitations)
resilience.io Use Examples
Q&A / Interactive Session
The document describes a Resilience.IO simulation model to evaluate water, sanitation, and hygiene (WASH) scenarios in the Greater Accra Metropolitan Area (GAMA) of Ghana. It includes a synthetic population model to simulate water and sanitation demands. Technology datasets are used to model infrastructure options. Three use cases are presented: assessing ongoing projects, increasing water access, and analyzing toilet availability. Baseline results show ongoing projects will not meet 2025 goals, while city-wide systems achieving 100% access and treatment would require over $2 billion of investment from 2015-2025.
The Trust
The future of the collaboratory
Discuss planning of June debut workshops and activities - identify expert users, identify needs and wishes for the interactive workshop sessions, identify particular WASH policy challenges that the Use Cases and prototype can help to inform
Update on FCA, Ghana, Cities Alliance partnership
Update on global activities
ICL IIER Team
Brief outline of early use case findings
Update on visualisations as part of the demonstration of the resilience.io prototype
The team will cover the Current Status of the project (Rembrandt Koppelaar), Water Demands (Xiaonan Wang, Koen H. van Dam), Infrastructure construction (Rembrandt Koppelaar) and Toilet usage (Xiaonan Wang, Koen H. van Dam)
During this meeting, the technical team from Imperial College London (ICL) and the Institute for Integrated Economics Research (IIER) showed the preliminary results from the resilience.io model prototype. They showed the water demand per district and how the technology infrastructure modelling can be used to meet water demands and sanitation treatment needs, as well as use case indicators and model functionality.
Lightning Talk by Peter Head CBE FREng FRSA at the RSA Scaling for impact event 1 February 2016.
https://www.thersa.org/events/fellowship-events/2016/2/rsa-engage-scaling-for-impact----1-feb/
My journey to provide and scale support to city regions to meet Global Goals by 2030
In 2008 I was working in Arup, heading up their global planning business with a world class team of transport, environmental, urban and policy and economics experts. Before that I had worked in infrastructure design and delivery, particularly Public Private Partnerships, around the World and I was also an adviser to the Mayor of London Ken Livingstone on his Sustainable Development Commission and so I was very aware of the challenges of achieving improved city resilience.
My team at Arup was working at the cutting edge of low carbon sustainable city planning worldwide, particularly in China. It was there I got very inspired by their vision of an ecological civilisation, living in harmony with nature, as the next phase of development after the industrial model. However getting the plans built everywhere we worked was very difficult because success still revolved around GDP growth and that was the metric decision making. We knew that this was damaging the health of land and ocean ecology, and human well-being was not necessarily improving as a result, but everyone thought that this was the “price of progress”. Development was becoming less inclusive in many more developed countries as well.
I was given the opportunity to develop and articulate a roadmap towards a more resilient Ecological Age in the 2008-9 Brunel Lecture sponsored by Institution of Civil Engineers in London.
I gave this presentation all over the world in 45 cities in 2008-9, and the feedback was very positive, but many were skeptical that a more resilient Ecological Age could be delivered. The financial crash did not help the mood. It was very clear that the disconnect between investment decision making and the community social/ecological system impact at global and local scales was a huge problem. We did not have the tools and understanding of how human and ecology systems and resource flows interact and how this affects investment and health-productivity risks. It was clear to most people that city regions would be critical in determining a successful outcome for humanity by 2050, because of the projected urbanisation and the resulting investment drawn into those locations. The analysis showed that we had to embrace a factor 4 reduction in pollution and resource consumption, including greenhouse gas emissions, by 2050 both in retrofitting existing city regions and in the model for new urbanisation, if a successful outcome was to be achieved...
http://resilience.io/about/rsa-scaling-for-impact/
November 17th 2015, 11:00 – 12:30 – An outline summary of potential use cases to demonstrate the functionality of the prototype of resilience.io. The cases outlined at this meeting are based on inputs given by the GTG at the September meeting. Use-case development will be collaborative with the GTG and the final selection of use cases will take place in January 2016.
September 10th 2015, 10:00 – 11:30 – The development of WASH use case studies to simulate in the model – GTG Webinar. We will also discuss sets of technology and policy options that are to be investigated as well as anticipated population and economic development scenarios and their impacts on the WASH sector. The initial use cases will be presented by Rembrandt Koppelaar with interactive input and discussion by GTG members. Thereafter GTG will be asked to provide own use cases.
FCA resilience.io Platform:
Resource Economic Human Ecosystem
Modelling Platform Prototype
Foster Mensah
Centre for Remote Sensing and Geographic Information Services (CERSGIS)
University of Ghana
Rachael Kemp, Future Earth Ltd
Stephen Passmore, The Ecological Sequestration Trust
Koen H. van Dam and Harry Triantafyllidis
Department of Chemical Engineering
Imperial College London, UK
6 August 2015
Setting the scene, including updates on our work around our global demonstrator regions, and then talk through WASH priorities and available data (based on a structure we will provide in advance), identifying gaps with you and how we might address them.
The document provides an overview of the Resilience.io modeling platform and its components for simulating an integrated urban system. It describes:
1) The agent-based and optimization modeling approaches used to simulate activities, resource flows, infrastructure networks and markets.
2) How the model represents population demographics, resource processes, infrastructure and service consumption.
3) The process of building a model of Ulaanbaatar, Mongolia, including developing an integrated data map and adjusting model rulesets to the local context.
This presentation by The Ecological Sequestration Trust and partners Institute for Integrated Economics Research (IIER), Geodan and the International Centre for Earth Simulation (ICES), will show how the integrated systems platform resilience.io can help UB City achieve its goals; how it can help assess new infrastructure project risk and return and identify policies and projects offering the greatest long-term ecological-social-economic benefits for UB citizens.
It will outline how the platform can be used to provide a clear economic case for investment in low carbon sustainable projects and enable global and regional investment to be mobilised to help deliver the UB City Economic Development Strategy.
Transition from agricultural to ecological age
Газар тариалангаас экологийн зуунд шилжих
A new paradigm of urban and rural development with integrated urban and rural resource flows
Хот, хөдөөний нөөцийн нэгдсэн урсгал бүхий хот, хөдөөг хөгжүүлэх шинэ парадигм
Tools for measuring and implementing a “scientific approach to development” and measuring “ecological progress”
“Хөгжилд шинжлэх ухааны үүднээс хандах” явдлыг хэмжих ба хэрэгжүүлэх хэрэгслүүд, “экологийн дэвшлийг” хэмжих
Future Cities Africa
resilience.io prototype development in GAMA
Supporting inclusive, resilient low carbon development
Stephen Passmore
24th March 2015
Fabular Frames and the Four Ratio ProblemMajid Iqbal
Digital, interactive art showing the struggle of a society in providing for its present population while also saving planetary resources for future generations. Spread across several frames, the art is actually the rendering of real and speculative data. The stereographic projections change shape in response to prompts and provocations. Visitors interact with the model through speculative statements about how to increase savings across communities, regions, ecosystems and environments. Their fabulations combined with random noise, i.e. factors beyond control, have a dramatic effect on the societal transition. Things get better. Things get worse. The aim is to give visitors a new grasp and feel of the ongoing struggles in democracies around the world.
Stunning art in the small multiples format brings out the spatiotemporal nature of societal transitions, against backdrop issues such as energy, housing, waste, farmland and forest. In each frame we see hopeful and frightful interplays between spending and saving. Problems emerge when one of the two parts of the existential anaglyph rapidly shrinks like Arctic ice, as factors cross thresholds. Ecological wealth and intergenerational equity areFour at stake. Not enough spending could mean economic stress, social unrest and political conflict. Not enough saving and there will be climate breakdown and ‘bankruptcy’. So where does speculative design start and the gambling and betting end? Behind each fabular frame is a four ratio problem. Each ratio reflects the level of sacrifice and self-restraint a society is willing to accept, against promises of prosperity and freedom. Some values seem to stabilise a frame while others cause collapse. Get the ratios right and we can have it all. Get them wrong and things get more desperate.
Economic Risk Factor Update: June 2024 [SlideShare]Commonwealth
May’s reports showed signs of continued economic growth, said Sam Millette, director, fixed income, in his latest Economic Risk Factor Update.
For more market updates, subscribe to The Independent Market Observer at https://blog.commonwealth.com/independent-market-observer.
In a tight labour market, job-seekers gain bargaining power and leverage it into greater job quality—at least, that’s the conventional wisdom.
Michael, LMIC Economist, presented findings that reveal a weakened relationship between labour market tightness and job quality indicators following the pandemic. Labour market tightness coincided with growth in real wages for only a portion of workers: those in low-wage jobs requiring little education. Several factors—including labour market composition, worker and employer behaviour, and labour market practices—have contributed to the absence of worker benefits. These will be investigated further in future work.
New Visa Rules for Tourists and Students in Thailand | Amit Kakkar Easy VisaAmit Kakkar
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South Dakota State University degree offer diploma Transcriptynfqplhm
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Vicinity Jobs’ data includes more than three million 2023 OJPs and thousands of skills. Most skills appear in less than 0.02% of job postings, so most postings rely on a small subset of commonly used terms, like teamwork.
Laura Adkins-Hackett, Economist, LMIC, and Sukriti Trehan, Data Scientist, LMIC, presented their research exploring trends in the skills listed in OJPs to develop a deeper understanding of in-demand skills. This research project uses pointwise mutual information and other methods to extract more information about common skills from the relationships between skills, occupations and regions.
STREETONOMICS: Exploring the Uncharted Territories of Informal Markets throug...sameer shah
Delve into the world of STREETONOMICS, where a team of 7 enthusiasts embarks on a journey to understand unorganized markets. By engaging with a coffee street vendor and crafting questionnaires, this project uncovers valuable insights into consumer behavior and market dynamics in informal settings."
Discover the Future of Dogecoin with Our Comprehensive Guidance36 Crypto
Learn in-depth about Dogecoin's trajectory and stay informed with 36crypto's essential and up-to-date information about the crypto space.
Our presentation delves into Dogecoin's potential future, exploring whether it's destined to skyrocket to the moon or face a downward spiral. In addition, it highlights invaluable insights. Don't miss out on this opportunity to enhance your crypto understanding!
https://36crypto.com/the-future-of-dogecoin-how-high-can-this-cryptocurrency-reach/
University of North Carolina at Charlotte degree offer diploma Transcripttscdzuip
办理美国UNCC毕业证书制作北卡大学夏洛特分校假文凭定制Q微168899991做UNCC留信网教留服认证海牙认证改UNCC成绩单GPA做UNCC假学位证假文凭高仿毕业证GRE代考如何申请北卡罗莱纳大学夏洛特分校University of North Carolina at Charlotte degree offer diploma Transcript
[4:55 p.m.] Bryan Oates
OJPs are becoming a critical resource for policy-makers and researchers who study the labour market. LMIC continues to work with Vicinity Jobs’ data on OJPs, which can be explored in our Canadian Job Trends Dashboard. Valuable insights have been gained through our analysis of OJP data, including LMIC research lead
Suzanne Spiteri’s recent report on improving the quality and accessibility of job postings to reduce employment barriers for neurodivergent people.
Decoding job postings: Improving accessibility for neurodivergent job seekers
Improving the quality and accessibility of job postings is one way to reduce employment barriers for neurodivergent people.
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Role of science, data and systems models - Stephen Passmore - Finance for #SDGs High Level Meeting – #financeforSDGs – Bellagio – 25-27 February 2015
1. Role of science, data and systems models
resilience.io
Stephen Passmore
Head of Platform Delivery
Bellagio 26th February 2015
stephen.passmore@ecosequestrust.org
#financeforSDGs
2. Role of Science, Data and Systems models
● Financial markets moving away rather
than towards sustainable development
goals – Ankit
● We need a different analytical toolkit,
conventional terminology and metrics not
cutting it – Brian
● Set of issues, soils, water, climate change
not managed by current financial system -
Nick
● Private sector need to understand the
complexity – better dialogue needed -
Julia
3. Role of Science, Data and Systems models
● An appropriate science – organized
complexity - Dr. Warren Weaver
● A data revolution
● City / Systems modelling – city
development, resource planning,
ecological systems and well-being
4. __ Stephen Passmore resilience.io
Contents Section 1
Section 2 __ Rembrandt Koppelaar IIER – values
based economics using systems
Section 3 __ Dr Bob Bishop ICES – State of the
art computing, modelling, visualisation
__ Dr Montira Pongsiri & Gary Foley
US EPA Triple Value systems model
Section 4
Section 5 __
6. Health- critical issues at interfaces
Human-Ecology interface
• Food-Soil quality, pollution, animal fish feed & chemicals, nutrition, minerals
• Air quality and lung disease
• Access to biodiversity and mental health
• Exercise ,mobility and health
• Biodiversity and infection, disease spread
• Water quality and health
• Overheating/heat stress
Human-Economic Interface
• Health and productivity
• Health and employment benefit/work stress
• Healthcare costs
Human-Social aspects
• Family cohesion and health
• Cultural settings
• Inherited health issues