This presentation is based on the 2008 book Planet Google by Randall Stross, a San Jose State University professor and a New York Times columnist. The report focuses on Systems Theory and machines replacing human employees.
1) The meeting agenda discusses new listings, price reductions, and open house needs. It also contains a discussion of properly abandoning an AST, and tips for buyer presentations and what buyers should do if they see homes for sale.
2) Mellody Giese was named Sales Associate of the Month. Sue Derby was named Listing Agent of the Month. Sherry Larson sold the most listings. Steve Connor had the most price changes and led in open houses.
3) Upcoming events and conventions were noted, and a link to a video about being polite to seniors was included.
Biedrība "Cerību krāsa" darbojas no 2011. gada, veicinot bāreņu, maznodrošināto un daudzbērnu ģimeņu, kā arī atstumto un ģimenēs nemīlēto bērnu sociālo integrāciju.
Este documento presenta el resumen diario del 11 de noviembre de 2014 del Mercado Abierto Electrónico. Se negociaron un total de $3,817.96 millones, con $577.54 millones en renta fija, $3,224.51 millones en pases y $14.91 millones en forex. Se incluyen secciones sobre renta fija, índices, curvas de rendimiento, precios de cierre de títulos públicos, licitación del BCRA, forex, OCT y datos monetarios.
The document summarizes a study on student ergonomics. A questionnaire was administered to 100 IoBM students to analyze their sitting positions during class and computer use. Analysis found that 41% of students sit in accurate postures. Common issues included sitting with legs closed together, not adjusting positions frequently, and improper computer setup. The researchers recommend workshops and awareness materials to educate students on proper ergonomics. This could benefit students' health, productivity and stress levels through adoption of correct sitting and computer use postures.
This document provides an overview of a remotely operated toy car project. It outlines the main requirements, functionality, features, implementation challenges, production process, and marketing plan. The key requirements are for the car to be operated remotely via a computer and wireless camera. Functionality includes transmitting control signals from the computer to a receiver and microcontroller in the car. Challenges include minimizing circuit size and integrating components. The production process involves specialized team roles, programming, and interfacing. Marketing targets children and emphasizes the affordable price and attractive design.
TCMcity.com is one of the largest platforms in Asia for sharing knowledge about traditional and complementary medicine products and services, receiving over 500,000 visitors per month. It offers companies an extensive way to expose their traditional Chinese medicine products or services to millions of Asian visitors through advertising on the site. Interested companies should contact advertise@tcmcity.com to learn more about advertising packages on the popular traditional medicine website.
System Thinking - Affect on Decision MakingMuhammad Awais
The document discusses systems thinking and its impact on decision making. It begins with introductions to systems concepts and definitions of systems thinking. It describes the difference between system 1 and system 2 thinking, with system 1 being fast, automatic thinking and system 2 being slower, effortful thinking. It emphasizes that in today's complex and interconnected world, systems thinking is needed to understand complex problems and avoid unintended consequences of decisions. Systems thinking provides a holistic view rather than a narrow, reductionist view to help make better decisions. The document provides examples of applying systems thinking in various domains and argues it is a new way of thinking needed to address challenges of the current century.
Debate on Artificial Intelligence in Justice, in the Democracy of the Future,...AJHSSR Journal
ABSTRACT : This study aims to debate and analyze the implementation of artificial intelligence (AI) in the Justice Age of the Future
Democracy and how it can affect civil and criminal investigation. To do so, a database of indexed scientific papers and conference materials
were "searched" to gather their findings. Artificial intelligence (AI), is a science for the development of intelligent machines and has its
roots in the early philosophical studies of human nature and in the process of knowing the world, expanded by neurophysiologists and
psychologists in the form of a series of theories, about the work of the human brain and thought. The stage of the development of the science
of artificial intelligence is the development of the foundation of the mathematical theory of computation - the theory of algorithms - and the
creation of computers, Anglin, (1995). "Artificial Intelligence" is a science that has theoretical and experimental parts. In practice, the
problem of the creation of "Artificial Intelligence" is, on the one hand, at the intersection of computer technology and, on the other, with
neurophysiology, cognitive and behavioral psychology. The Philosophy of Artificial Intelligence serves as a theoretical basis, but only with
the appearance of significant results will the theory acquire an independent meaning. Until now, the theory and practice of "Artificial
Intelligence" must be distinguished from the mathematical, algorithmic, robotic, physiological, and other theoretical techniques and
experimental techniques that have an independent meaning.
KEYWORDS: Artificial Intelligence; Hybrid Smart Systems (HIS); Computer Machines; Robotics; Test of Turing
1) The meeting agenda discusses new listings, price reductions, and open house needs. It also contains a discussion of properly abandoning an AST, and tips for buyer presentations and what buyers should do if they see homes for sale.
2) Mellody Giese was named Sales Associate of the Month. Sue Derby was named Listing Agent of the Month. Sherry Larson sold the most listings. Steve Connor had the most price changes and led in open houses.
3) Upcoming events and conventions were noted, and a link to a video about being polite to seniors was included.
Biedrība "Cerību krāsa" darbojas no 2011. gada, veicinot bāreņu, maznodrošināto un daudzbērnu ģimeņu, kā arī atstumto un ģimenēs nemīlēto bērnu sociālo integrāciju.
Este documento presenta el resumen diario del 11 de noviembre de 2014 del Mercado Abierto Electrónico. Se negociaron un total de $3,817.96 millones, con $577.54 millones en renta fija, $3,224.51 millones en pases y $14.91 millones en forex. Se incluyen secciones sobre renta fija, índices, curvas de rendimiento, precios de cierre de títulos públicos, licitación del BCRA, forex, OCT y datos monetarios.
The document summarizes a study on student ergonomics. A questionnaire was administered to 100 IoBM students to analyze their sitting positions during class and computer use. Analysis found that 41% of students sit in accurate postures. Common issues included sitting with legs closed together, not adjusting positions frequently, and improper computer setup. The researchers recommend workshops and awareness materials to educate students on proper ergonomics. This could benefit students' health, productivity and stress levels through adoption of correct sitting and computer use postures.
This document provides an overview of a remotely operated toy car project. It outlines the main requirements, functionality, features, implementation challenges, production process, and marketing plan. The key requirements are for the car to be operated remotely via a computer and wireless camera. Functionality includes transmitting control signals from the computer to a receiver and microcontroller in the car. Challenges include minimizing circuit size and integrating components. The production process involves specialized team roles, programming, and interfacing. Marketing targets children and emphasizes the affordable price and attractive design.
TCMcity.com is one of the largest platforms in Asia for sharing knowledge about traditional and complementary medicine products and services, receiving over 500,000 visitors per month. It offers companies an extensive way to expose their traditional Chinese medicine products or services to millions of Asian visitors through advertising on the site. Interested companies should contact advertise@tcmcity.com to learn more about advertising packages on the popular traditional medicine website.
System Thinking - Affect on Decision MakingMuhammad Awais
The document discusses systems thinking and its impact on decision making. It begins with introductions to systems concepts and definitions of systems thinking. It describes the difference between system 1 and system 2 thinking, with system 1 being fast, automatic thinking and system 2 being slower, effortful thinking. It emphasizes that in today's complex and interconnected world, systems thinking is needed to understand complex problems and avoid unintended consequences of decisions. Systems thinking provides a holistic view rather than a narrow, reductionist view to help make better decisions. The document provides examples of applying systems thinking in various domains and argues it is a new way of thinking needed to address challenges of the current century.
Debate on Artificial Intelligence in Justice, in the Democracy of the Future,...AJHSSR Journal
ABSTRACT : This study aims to debate and analyze the implementation of artificial intelligence (AI) in the Justice Age of the Future
Democracy and how it can affect civil and criminal investigation. To do so, a database of indexed scientific papers and conference materials
were "searched" to gather their findings. Artificial intelligence (AI), is a science for the development of intelligent machines and has its
roots in the early philosophical studies of human nature and in the process of knowing the world, expanded by neurophysiologists and
psychologists in the form of a series of theories, about the work of the human brain and thought. The stage of the development of the science
of artificial intelligence is the development of the foundation of the mathematical theory of computation - the theory of algorithms - and the
creation of computers, Anglin, (1995). "Artificial Intelligence" is a science that has theoretical and experimental parts. In practice, the
problem of the creation of "Artificial Intelligence" is, on the one hand, at the intersection of computer technology and, on the other, with
neurophysiology, cognitive and behavioral psychology. The Philosophy of Artificial Intelligence serves as a theoretical basis, but only with
the appearance of significant results will the theory acquire an independent meaning. Until now, the theory and practice of "Artificial
Intelligence" must be distinguished from the mathematical, algorithmic, robotic, physiological, and other theoretical techniques and
experimental techniques that have an independent meaning.
KEYWORDS: Artificial Intelligence; Hybrid Smart Systems (HIS); Computer Machines; Robotics; Test of Turing
Trust and Accountability: experiences from the FAIRDOM Commons Initiative.Carole Goble
Presented at Digital Life 2018, Bergen, March 2018. In the Trust and Accountability session.
In recent years we have seen a change in expectations for the management and availability of all the outcomes of research (models, data, SOPs, software etc) and for greater transparency and reproduciblity in the method of research. The “FAIR” (Findable, Accessible, Interoperable, Reusable) Guiding Principles for stewardship [1] have proved to be an effective rallying-cry for community groups and for policy makers.
The FAIRDOM Initiative (FAIR Data Models Operations, http://www.fair-dom.org) supports Systems Biology research projects with their research data, methods and model management, with an emphasis on standards and sensitivity to asset sharing and credit anxiety. Our aim is a FAIR Research Commons that blends together the doing of research with the communication of research. The Platform has been installed by over 30 labs/projects and our public, centrally hosted FAIRDOMHub [2] supports the outcomes of 90+ projects. We are proud to support projects in Norway’s Digital Life programme.
2018 is our 10th anniversary. Over the past decade we learned a lot about trust between researchers, between researchers and platform developers and curators and between both these groups and funders. We have experienced the Tragedy of the Commons but also seen shifts in attitudes.
In this talk we will use our experiences in FAIRDOM to explore the political, economic, social and technical, social practicalities of Trust.
[1] Wilkinson et al (2016) The FAIR Guiding Principles for scientific data management and stewardship Scientific Data 3, doi:10.1038/sdata.2016.18
[2] Wolstencroft, et al (2016) FAIRDOMHub: a repository and collaboration environment for sharing systems biology research Nucleic Acids Research, 45(D1): D404-D407. DOI: 10.1093/nar/gkw1032
1. The document discusses shifts occurring in scholarly communications, including the end of traditional journal articles and rise of research objects and social machines.
2. Research objects allow research outputs like data, code and workflows to be cited and curated in a machine-readable way.
3. Social machines refer to new forms of collaborative online research processes empowered by technology and humans working together.
4. The future of scholarly communications involves greater use of research objects and social machines to make research more reproducible, reusable and open.
AI WORLD: I-World: EIS Global Innovation Platform: BIG Knowledge World vs. BI...Azamat Abdoullaev
Future World Projects
Global Intelligence Platform
Smart World
Smart Nation
Smart Cities Global Initiative
Smart Superpower Projects
Big Data and Big Knowledge, etc.
Ontology Tutorial: Semantic Technology for Intelligence, Defense and SecurityBarry Smith
Dr. Barry Smith is the director of the National Center for Ontological Research. He discussed how semantic technology can help solve the problem of data silos by enabling data from different sources to be integrated and analyzed together. Ontologies, or controlled vocabularies, can be used to semantically enhance data by tagging it in an interoperable way. This allows the data to be retrieved, understood, and used by others even if they were not involved in creating the data. The semantic enhancement approach aims to break down silos incrementally by coordinating the creation of ontologies and linking datasets through shared terms.
This presentation goes over Data Mining the City, a course taught at Columbia University GSAPP. This lecture also covers, complexity, cybernetics and agent based modeling.
Designing Futures to Flourish: ISSS 2015 keynotePeter Jones
We now find ourselves as a systems thinking community inquiring into planetary governance for climate and ecological politics. The Anthropocene demands a planetary response, and yet we often find even our fellow travelers tethered to discourses of technological management, cultural change, and right action. We might now advocate a stronger role for social systems design as a process for continual engagement of citizen stakeholders, and between these citizens and policy makers, as advocated by Christakis, Ulrich and others. As we have seen power (economic and political) separate from its cultural histories, and become globalized, we may find ourselves in trajectories of action but with marginal power to effect societal outcomes.
We are faced with a dual mandate of restorative system design, recovering human needs in our communities, and policy system design, restoring the long historical arc toward democratic governance. And as these are both designable contexts, systemic design can integrate ecological, technological and design thinking to guide policy in more productive ways.
• We find ourselves captured in the politics of solutionism. Most presentations of the “problems” as stated before us reveal a trajectory of preferred solutions and their possible shortcomings.
• Climate change, even the entire Anthropocene aeonic perspective, represents a problematique of multiple effects systems. We are bound up in political discourses of “system change” and do not share a compelling common view of a flourishing world. We seem unable to reregister the most compelling societal choices and drivers save carbon mitigation.
• We have not conducted, to my knowledge, a substantial stakeholder discovery that extends beyond the immediate and obvious primary combatants in the climate change wars.
• As citizens and political actors on the planetary stage, we have been afraid or unable to present a clear view of the risk scenarios, possible governance strategies, or a normative plan for serious global investment. If the planet were a business concern, it would be in receivership by now.
This document discusses service systems and their impact on quality of life. It begins by outlining different types of systems that focus on (A) flows of things humans need like transportation and supply chains, (B) human activities like retail, banking, and education, and (C) human governance systems like cities, states, and nations. It then provides more depth on these systems and the disciplines that support them. The document emphasizes that quality of life results from quality of service systems as well as quality jobs and investment opportunities. It concludes by stating the best way to predict the future is to inspire students to build it better.
Why systems thinking is not a natural act wpi colloquim oct 2 2019Ricardo Valerdi
1. Systems thinking is not a natural act for humans due to our evolutionary tendencies towards immediate problems, mechanistic thinking, and cognitive limitations. The complexity of systems often overwhelms our abilities.
2. The Western educational system is a major inhibitor to developing systems thinking skills, as it focuses on reductionist and mechanistic approaches rather than holistic thinking.
3. While systems thinking can be taught through interventions, not everyone may be able to learn it. Experiential learning through simulations and models is an effective way to develop systems thinking abilities.
The document summarizes Joe McCarthy's presentation about his research on proactive displays, which aim to bridge online social networks and shared physical spaces. It provides a brief history of McCarthy's work in this area over multiple generations of proactive display systems. It then describes McCarthy's most recent project, the Context, Content & Community Collage, which uses a large display to share coworkers' social media content in a workplace setting to potentially foster greater community.
Conference 6 of 8 of the Introduction to Integral Permaculture series by NodoEspiral of the Permaculture Academy.
See www.PermaCultureScience.com for other conferences and audio to this one.
e-Research and the Demise of the Scholarly ArticleDavid De Roure
Innovations 2013 - e-Science, we-Science and the latest evolutions in e-publishing. STM International Association of Scientific, Technical & Medical Publishers. 4th December 2013, Congress Centre, Great Russell Street, London, UK.
The document discusses the opportunities and issues related to using semantic technologies for e-government initiatives. It covers the background of semantic technologies and knowledge societies, opportunities they provide like better information access, and challenges like technology gaps and ensuring trust and representation of community knowledge. Examples of semantic technology applications in areas like social networking and e-government services are also mentioned.
Keynote talk for NCRM Stream Analytics workshop, 19 January 2017, Manchester.
My talk is called "New and Emerging Forms of Data: Past, Present, and Future” and I will be giving a perspective from my role as one of the ESRC Strategic Advisers for Data Resources, in which I was responsible for new and emerging forms of data and realtime analytics. The talk also includes some of the current work in the Oxford e-Research Centre on Social Machines (the SOCIAM project) and an introduction to the PETRAS Internet of Things project.
The talk raises a number of important issues looking ahead, including massive scale of data that is already being supplied by Internet of Things, the implications of automation in our research, reproducibility and confidence in research results. I will also ask, how can the new forms of data and new research methods enable social scientists to work in new ways, and can we move on from the dependence on the traditional investment in longitudinal studies?
Artificial intelligence (AI) refers to a constellation of technologies, including machine learning, perception, reasoning, and natural language processing. While the field has been pursuing principles and applications for over 65 years, recent advances, uses, and attendant public excitement have returned it to the spotlight. The impact of early AI 1 systems is already being felt, bringing with it challenges and opportunities, and laying the foundation on which future advances in AI will be integrated into social and economic domains. The potential wide-ranging impact make it necessary to look carefully at the ways in which these technologies are being applied now, whom they’re benefiting, and how they’re structuring our social, economic, and interpersonal lives.
The machine in the ghost: a socio-technical perspective...Cliff Lampe
This document discusses sociotechnical systems and the challenges of collaboration between researchers studying these systems and practitioners. It defines sociotechnical systems as the interrelation between technological and human systems. It argues that truly understanding these systems requires combining the theories and techniques of multiple fields including social science, computer science, and engaging with practitioners. However, bringing these different groups together is difficult due to differences in culture, goals, and incentives between academics and practitioners. It provides some strategies for encouraging collaboration, such as phenomena-based research, workshops, funding incentives, and mixed academic/practitioner events and project partnerships.
The document discusses different types of network analysis including social network analysis, semantic network analysis, and neural network analysis. It provides examples of how each has been used to analyze communication networks, language use in documents, and cognitive structures. Specific techniques are described like social network surveys, semantic network software, and the Galileo model for analyzing attitudes.
A Semantic Web Primer: The History and Vision of Linked Open Data and the Web 3.0
There is a transformational change coming to the world-wide-web that will fundamentally alter how its vast array of data is structured, and as a result greatly enhance the way humans and machines interact with this indispensable resource. Given the inertia of existing infrastructure, this segue will be evolutionary as opposed to revolutionary, and indeed has been envisioned since the inception of the web. Come join us for a layman's look at the nature of the Web 3.0, its historical underpinnings, and the opportunities it presents.
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Similar to Renee Final Google And Systems And Leadership, Nov 30
Trust and Accountability: experiences from the FAIRDOM Commons Initiative.Carole Goble
Presented at Digital Life 2018, Bergen, March 2018. In the Trust and Accountability session.
In recent years we have seen a change in expectations for the management and availability of all the outcomes of research (models, data, SOPs, software etc) and for greater transparency and reproduciblity in the method of research. The “FAIR” (Findable, Accessible, Interoperable, Reusable) Guiding Principles for stewardship [1] have proved to be an effective rallying-cry for community groups and for policy makers.
The FAIRDOM Initiative (FAIR Data Models Operations, http://www.fair-dom.org) supports Systems Biology research projects with their research data, methods and model management, with an emphasis on standards and sensitivity to asset sharing and credit anxiety. Our aim is a FAIR Research Commons that blends together the doing of research with the communication of research. The Platform has been installed by over 30 labs/projects and our public, centrally hosted FAIRDOMHub [2] supports the outcomes of 90+ projects. We are proud to support projects in Norway’s Digital Life programme.
2018 is our 10th anniversary. Over the past decade we learned a lot about trust between researchers, between researchers and platform developers and curators and between both these groups and funders. We have experienced the Tragedy of the Commons but also seen shifts in attitudes.
In this talk we will use our experiences in FAIRDOM to explore the political, economic, social and technical, social practicalities of Trust.
[1] Wilkinson et al (2016) The FAIR Guiding Principles for scientific data management and stewardship Scientific Data 3, doi:10.1038/sdata.2016.18
[2] Wolstencroft, et al (2016) FAIRDOMHub: a repository and collaboration environment for sharing systems biology research Nucleic Acids Research, 45(D1): D404-D407. DOI: 10.1093/nar/gkw1032
1. The document discusses shifts occurring in scholarly communications, including the end of traditional journal articles and rise of research objects and social machines.
2. Research objects allow research outputs like data, code and workflows to be cited and curated in a machine-readable way.
3. Social machines refer to new forms of collaborative online research processes empowered by technology and humans working together.
4. The future of scholarly communications involves greater use of research objects and social machines to make research more reproducible, reusable and open.
AI WORLD: I-World: EIS Global Innovation Platform: BIG Knowledge World vs. BI...Azamat Abdoullaev
Future World Projects
Global Intelligence Platform
Smart World
Smart Nation
Smart Cities Global Initiative
Smart Superpower Projects
Big Data and Big Knowledge, etc.
Ontology Tutorial: Semantic Technology for Intelligence, Defense and SecurityBarry Smith
Dr. Barry Smith is the director of the National Center for Ontological Research. He discussed how semantic technology can help solve the problem of data silos by enabling data from different sources to be integrated and analyzed together. Ontologies, or controlled vocabularies, can be used to semantically enhance data by tagging it in an interoperable way. This allows the data to be retrieved, understood, and used by others even if they were not involved in creating the data. The semantic enhancement approach aims to break down silos incrementally by coordinating the creation of ontologies and linking datasets through shared terms.
This presentation goes over Data Mining the City, a course taught at Columbia University GSAPP. This lecture also covers, complexity, cybernetics and agent based modeling.
Designing Futures to Flourish: ISSS 2015 keynotePeter Jones
We now find ourselves as a systems thinking community inquiring into planetary governance for climate and ecological politics. The Anthropocene demands a planetary response, and yet we often find even our fellow travelers tethered to discourses of technological management, cultural change, and right action. We might now advocate a stronger role for social systems design as a process for continual engagement of citizen stakeholders, and between these citizens and policy makers, as advocated by Christakis, Ulrich and others. As we have seen power (economic and political) separate from its cultural histories, and become globalized, we may find ourselves in trajectories of action but with marginal power to effect societal outcomes.
We are faced with a dual mandate of restorative system design, recovering human needs in our communities, and policy system design, restoring the long historical arc toward democratic governance. And as these are both designable contexts, systemic design can integrate ecological, technological and design thinking to guide policy in more productive ways.
• We find ourselves captured in the politics of solutionism. Most presentations of the “problems” as stated before us reveal a trajectory of preferred solutions and their possible shortcomings.
• Climate change, even the entire Anthropocene aeonic perspective, represents a problematique of multiple effects systems. We are bound up in political discourses of “system change” and do not share a compelling common view of a flourishing world. We seem unable to reregister the most compelling societal choices and drivers save carbon mitigation.
• We have not conducted, to my knowledge, a substantial stakeholder discovery that extends beyond the immediate and obvious primary combatants in the climate change wars.
• As citizens and political actors on the planetary stage, we have been afraid or unable to present a clear view of the risk scenarios, possible governance strategies, or a normative plan for serious global investment. If the planet were a business concern, it would be in receivership by now.
This document discusses service systems and their impact on quality of life. It begins by outlining different types of systems that focus on (A) flows of things humans need like transportation and supply chains, (B) human activities like retail, banking, and education, and (C) human governance systems like cities, states, and nations. It then provides more depth on these systems and the disciplines that support them. The document emphasizes that quality of life results from quality of service systems as well as quality jobs and investment opportunities. It concludes by stating the best way to predict the future is to inspire students to build it better.
Why systems thinking is not a natural act wpi colloquim oct 2 2019Ricardo Valerdi
1. Systems thinking is not a natural act for humans due to our evolutionary tendencies towards immediate problems, mechanistic thinking, and cognitive limitations. The complexity of systems often overwhelms our abilities.
2. The Western educational system is a major inhibitor to developing systems thinking skills, as it focuses on reductionist and mechanistic approaches rather than holistic thinking.
3. While systems thinking can be taught through interventions, not everyone may be able to learn it. Experiential learning through simulations and models is an effective way to develop systems thinking abilities.
The document summarizes Joe McCarthy's presentation about his research on proactive displays, which aim to bridge online social networks and shared physical spaces. It provides a brief history of McCarthy's work in this area over multiple generations of proactive display systems. It then describes McCarthy's most recent project, the Context, Content & Community Collage, which uses a large display to share coworkers' social media content in a workplace setting to potentially foster greater community.
Conference 6 of 8 of the Introduction to Integral Permaculture series by NodoEspiral of the Permaculture Academy.
See www.PermaCultureScience.com for other conferences and audio to this one.
e-Research and the Demise of the Scholarly ArticleDavid De Roure
Innovations 2013 - e-Science, we-Science and the latest evolutions in e-publishing. STM International Association of Scientific, Technical & Medical Publishers. 4th December 2013, Congress Centre, Great Russell Street, London, UK.
The document discusses the opportunities and issues related to using semantic technologies for e-government initiatives. It covers the background of semantic technologies and knowledge societies, opportunities they provide like better information access, and challenges like technology gaps and ensuring trust and representation of community knowledge. Examples of semantic technology applications in areas like social networking and e-government services are also mentioned.
Keynote talk for NCRM Stream Analytics workshop, 19 January 2017, Manchester.
My talk is called "New and Emerging Forms of Data: Past, Present, and Future” and I will be giving a perspective from my role as one of the ESRC Strategic Advisers for Data Resources, in which I was responsible for new and emerging forms of data and realtime analytics. The talk also includes some of the current work in the Oxford e-Research Centre on Social Machines (the SOCIAM project) and an introduction to the PETRAS Internet of Things project.
The talk raises a number of important issues looking ahead, including massive scale of data that is already being supplied by Internet of Things, the implications of automation in our research, reproducibility and confidence in research results. I will also ask, how can the new forms of data and new research methods enable social scientists to work in new ways, and can we move on from the dependence on the traditional investment in longitudinal studies?
Artificial intelligence (AI) refers to a constellation of technologies, including machine learning, perception, reasoning, and natural language processing. While the field has been pursuing principles and applications for over 65 years, recent advances, uses, and attendant public excitement have returned it to the spotlight. The impact of early AI 1 systems is already being felt, bringing with it challenges and opportunities, and laying the foundation on which future advances in AI will be integrated into social and economic domains. The potential wide-ranging impact make it necessary to look carefully at the ways in which these technologies are being applied now, whom they’re benefiting, and how they’re structuring our social, economic, and interpersonal lives.
The machine in the ghost: a socio-technical perspective...Cliff Lampe
This document discusses sociotechnical systems and the challenges of collaboration between researchers studying these systems and practitioners. It defines sociotechnical systems as the interrelation between technological and human systems. It argues that truly understanding these systems requires combining the theories and techniques of multiple fields including social science, computer science, and engaging with practitioners. However, bringing these different groups together is difficult due to differences in culture, goals, and incentives between academics and practitioners. It provides some strategies for encouraging collaboration, such as phenomena-based research, workshops, funding incentives, and mixed academic/practitioner events and project partnerships.
The document discusses different types of network analysis including social network analysis, semantic network analysis, and neural network analysis. It provides examples of how each has been used to analyze communication networks, language use in documents, and cognitive structures. Specific techniques are described like social network surveys, semantic network software, and the Galileo model for analyzing attitudes.
A Semantic Web Primer: The History and Vision of Linked Open Data and the Web 3.0
There is a transformational change coming to the world-wide-web that will fundamentally alter how its vast array of data is structured, and as a result greatly enhance the way humans and machines interact with this indispensable resource. Given the inertia of existing infrastructure, this segue will be evolutionary as opposed to revolutionary, and indeed has been envisioned since the inception of the web. Come join us for a layman's look at the nature of the Web 3.0, its historical underpinnings, and the opportunities it presents.
Similar to Renee Final Google And Systems And Leadership, Nov 30 (20)
Renee Final Google And Systems And Leadership, Nov 30
1. Humanity VS. Machinery: A Systems Perspective of Google’s Growth Presented by Emily Precht-Patterson
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Editor's Notes
Today, we will look at the on and offline systems of Google where humanity meets machinery to demonstrate how successful a company can be in both closed and open services and rhetoric, it is hard to find fault with google’s methods minus the environmental and social damages that technology puts on Earth through as fast, competitive growth
First a quick overview of systems development, then the open, closed, rational and natural models of systems theory, called the layered approach, provided by Scott and Davis, will be compared to Google’s attributes provided by Scott. Lastly, Scott and I question google for the environment and people in open and closed networks. PROB: HOW COMPANY BLEND OPEN AND CLOSED MODELS INTO A LAYERED MODEL. Like backstage need secrets to get audience effect (Lipnack and Stamps, 1997) Stross – san jose state u in cali, new york times journalist, and novelest of half a dozen or more books
Originally called General Systems Theory in science: biologist Bertalanffy – movements founder with economist Boulding, physiologist Gerald and mathematician Rapoport (collaborated through 1940 to 1972) (Checkland, 1981) Open system – internal and external influences homeostasis – act to maintain steady state like comm theory uncertainty reduction, personality theory to try to understand erratic and adaptive behaviors of systems, coming from biology and psychology (Hall and Lindzey) ideas of equilibrium, homeostasis, feedback and stress and stimulus response trope of comm. relative growth (social differentiation) and growth in time (animalistic), including competition philosophies other founder theorists include Jenkins 1969: four m’s men, money, machines, and materials! Buckley- society as complex adaptive system (1968) all know senge (1990) 5 th discipline systems thinking (personal mastery, flexible mental models, shared vision, and team learning) Eisenberg, Goodall and Trethewey say “no single feature makes the parts special rather the organization is unique in the way that all its qualities work together as a whole to create the ultimate ie sport team, family… Ackoff (1971) Ashby?, Buckley (1968), Checkland (1972-1981), Greene (1970), Kast and Rozenzweig , Weinberg (1975) ,Winn (1974), Trop (2007) and many more in business literature Also used in cultural and sociological studies
Murphy -anything that can happen will Eye-brain law illusionary aspect of systems mental power can compensate for observational weakness and vice versa. Thump – if want to learn anything we mustn't try to learn everything. Law of large numbers – larger the population more likely values close to average Perfect systems law – true system properties cannot be investigated!
Overall, this data was collected from Interviews, team meetings, and observation not access to some storage rooms at google plex Stross tells readers about google’s overarching rational Goal- store all world’s info and protect identities? Strategy start out two man team from Stanford college slowely add team members known by employee one two and so on receive donations and grants for equipment make money with ads that people click on or now paid for by advertising company… competitiors- microsoft, wikipedia, facebook, waltdisney, myspace, CBS, NBC, contract with yahoo now Product-web search, email, book, video, map, health---- and in real life google ples with shopping, food, laundry, transportation, child care… Clients- web access, claim your content copy wright infingement auto service. Suppliers companies libraries with moon shot book search Employees educated young computer and human resources experts Technology- enormous FIRST DATA CENTER BUILT NOT RENTED IN THE DALLES, OREGON IN 2004-2005. THEN NORTH AND SOUTH CAROLINA AND OKLAHOMA AND IOWA. “SINISTER CORPORATE OCTAPUS” AN EDITORIAL PAGE CALLED BECAUSE OF STEALTH IN NEWS BUY UP LAND AND RESOURCES, SOME NEW JOBS. HAD TO HIRE LOCALLY OR CRITIZED OTHERWISE. Secrecy become norm software not humans do maintaining work. Stross chapters in system approach: open and closed, unlimited capacity, algorithm, moon shot, gootube, small world afterall, a personal matter, and algorithm meet humanity
On rt google qualities and left scott descriptors under the far left levels of being. Weick’s organizing/sense making: enactment, selection, retention; retrospective: identity construction, retrospection, enactment, socialization, continuation, extracted cues, plausibility (Eisenberg, Goodall, Trethewey) Web started as a closed network for labs and interns college and businesses then expanded to individuals appear open. Rhetoric of masking/advertising/sharing data. Google claim open because any browser access. Open content analysis book search test open. Google talk, reader, friend connector rhetoric of open.
Cloud computing – cyberspace take up valuable, enormous, and scarce energy, with mathematical equations collect and organize all data without bias. exs: PageRank, Crawling spider software look for copied sites; closed model walled gardens, New York Times experiment “wall big enough appear open” Wall St Journal last gated community, Facebook- gated network. P 29 Stross Algorithm (set or rules for solving big prob, building blocks inside software) rate natural disasters not valuable because not discerning like humans. Algo have math order grow as fast as web. Software vs hardware speed. Program vs machine? Speech to text model. “DIGITAL AMERICAN MEMORY”!!!! Redundancy data centers on coasts and in middle… “cooling machine prob” in 2004 TOOK NEW ENERGY APPROACH 57. Google all from book Planet Google by Randall Stross 2008
In all, google is questioned for its adherance to the open model but they are allowed to have closed areas of their business. Or are they? Have Schmidt 2001 CEO do face work while Brin and Page oversee staff and computers. “open social announcement in 2007, success of Orkut and other international applications. Summer of coding for interns .. Reason to collect personal info and not. Privacy: “trust builds over a very long time and can be lost evry quickly p. 35. Shift software to services. Google check out for purchases, google calendar, google traffic, google Apps (word processing), universal google, google talk instant message, blogger, grandcentral phone, orkut social network. Gmail. Electronic communications privacy act google answers no more Journlaists say google earth promote social /government conspiracies radicals and pro-internet rave about google breadth and integrity.
Technology always means more and better phones, tvs, computers every year if have funds upgrade so make lots to “recycle” destroy environment so anti good system – plus tech take jobs away from humans and teams of computer programmers say work never finished or used so waste. Monopoly: microsoft and google just want to beat competition not “free market with lots of little competitors” take 90 % of web searches Scale: create Capacity by assembling own machines – two founders still in charge so profits stored to buy more. “think big” “FEW HUMANS AND MANY MACHINES, STROSS more data is better data, scale big and eager to try new things. Google’s dream is to be like the 2001 Space Odyssey Hal 9000 from a ceo schmidt press conference. Viacom sued YouTube and google in 2007. Shoved under rug with claim your content success test (high consumer use in millions) against Time Warner, Walt Disney, and CBS while Revver company paid people to individually screen for violence, porn, and copywrighted material. AUTHORS GUILD file suit in sept 2005 for not sharing money in printing digitally and reproducing works on internet, like metallica and bands with music sharing web sites! Scott always gives examples of the past like when electrisity in 1880s went to large , cheaper plants with new centralized alternating current so the problem goes back before google and will continue In 2008, google beat microsoft yahoo and aol 190.7 million unique visitors. Or 70% and make over 4 billion a year. Their business plan is 300 years old.