Based on joint work with Bernhard Rieder, UvA
Presentation at the Politics of Big Data conference at King's College London, May 8
http://www.politicsofbigdata.net/
Based on joint work with Bernhard Rieder, UvA
This document discusses how data points from social media are transformed into metrics that make life experiences commensurable and comparable. It notes that digital platforms come with built-in "grammars of action" that standardize user actions into data points. While countable, these data points may not represent equivalent experiences. The document advocates for data point critique that re-embeds metrics to show what they do not capture and what motivates their design. It analyzes hashtag data from Twitter and finds metrics are "lively" and enacted not just by the metric but distributed human and non-human actors. Metrics make similar only through complex distributed processes of calculation.
Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of...Digital Methods Initiative
Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of Engagement Online. Opening Lecture, Digital Methods Winter School, 11 January 2916
Session on the value of social data and how companies are going "beyond the basics" in using social data for research. Presented at #1amconf (www.http://www.altmetricsconference.com) on
GraphDice: A System for Exploring Multivariate Social NetworksNiklas Elmqvist
This document describes GraphDice, a system for exploring multivariate social networks. GraphDice allows users to visualize social networks, with nodes representing individuals and edges representing relationships. It integrates network topology, node and edge attributes, and tabular data views. GraphDice is designed for social network analysts to consistently represent and interact with network data through features like dynamic queries, selection history, and coordinated visualizations and data tables.
An online evaluation of explicit feedback mechanisms for recommender systemsSimon Dooms
Poster about an online feedback experiment as presented during the WEBIST 2011 conference in Noordwijkerhout (The Netherlands), May 7, 2011 by Simon Dooms.
Social data from different departments within a company should be integrated onto a single platform to provide more comprehensive insights. Combining social data from marketing, sales, customer support, and product can help each department better serve customers by gaining a deeper understanding of habits, sentiment, and social behaviors. A unified platform offers scalability, real-time analytics, integration with other data sources, and expansive insights which allows a company to more effectively manage social media in a coordinated way.
The document discusses an event using the hashtags #HXD2019 and @HXDCONF. It encourages participants at their tables to discuss one of three questions about marginalized voices, forces resisting change, or envisioning the ideal future. It provides instructions to share insights on the Mobilize App or website for a chance to win a prize by commenting.
This document discusses how data points from social media are transformed into metrics that make life experiences commensurable and comparable. It notes that digital platforms come with built-in "grammars of action" that standardize user actions into data points. While countable, these data points may not represent equivalent experiences. The document advocates for data point critique that re-embeds metrics to show what they do not capture and what motivates their design. It analyzes hashtag data from Twitter and finds metrics are "lively" and enacted not just by the metric but distributed human and non-human actors. Metrics make similar only through complex distributed processes of calculation.
Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of...Digital Methods Initiative
Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of Engagement Online. Opening Lecture, Digital Methods Winter School, 11 January 2916
Session on the value of social data and how companies are going "beyond the basics" in using social data for research. Presented at #1amconf (www.http://www.altmetricsconference.com) on
GraphDice: A System for Exploring Multivariate Social NetworksNiklas Elmqvist
This document describes GraphDice, a system for exploring multivariate social networks. GraphDice allows users to visualize social networks, with nodes representing individuals and edges representing relationships. It integrates network topology, node and edge attributes, and tabular data views. GraphDice is designed for social network analysts to consistently represent and interact with network data through features like dynamic queries, selection history, and coordinated visualizations and data tables.
An online evaluation of explicit feedback mechanisms for recommender systemsSimon Dooms
Poster about an online feedback experiment as presented during the WEBIST 2011 conference in Noordwijkerhout (The Netherlands), May 7, 2011 by Simon Dooms.
Social data from different departments within a company should be integrated onto a single platform to provide more comprehensive insights. Combining social data from marketing, sales, customer support, and product can help each department better serve customers by gaining a deeper understanding of habits, sentiment, and social behaviors. A unified platform offers scalability, real-time analytics, integration with other data sources, and expansive insights which allows a company to more effectively manage social media in a coordinated way.
The document discusses an event using the hashtags #HXD2019 and @HXDCONF. It encourages participants at their tables to discuss one of three questions about marginalized voices, forces resisting change, or envisioning the ideal future. It provides instructions to share insights on the Mobilize App or website for a chance to win a prize by commenting.
Digital Strategy - how to win elections with Big Data, Predictive Analytics and Social Media Engagement. A summary of the SMAC (social media - mobile - analytics - cloud) strategy of Obama's campaign teams in 2008 and 2012
Social Government Case Studies with Fels InstituteGranicus
In this webinar, hear directly from researchers at the University of Pennsylvania’s Fels Institute of Government, including communications expert Eric Rabe, who surveyed over 100 cities and led 20 in-depth interviews with government administrators to uncover promising practices from your peers across the country.
Presented by Mr Madhu Dharmarajan, Regional Head of Enterprise Architecture, Hewlett Packard Enterprise, at our 16th Architecture Community of Practice Forum on 25 Apr 2017.
Social indicator - Identifying Influencers And Measuring Their Success On Soc...Gabriella Fonseca Ribeiro
Social Indicator’s theoretical framework and scores provide a reliable and transparent method to identify influencers and measure their success by analysing engagement, supporting comparisons with other accounts and providing better insights to determine ROI in the social media landscape.
www.socialindicator.nl
The document summarizes Champlain College's transition to a new website and analytical goals and strategies. It discusses moving from separate past sites to a new single site, redesigning graphics and content, and integrating three external websites. It outlines key performance indicators and analytical goals to better understand site usage and traffic sources. Strategies include setting up Google Analytics profiles, defining event and conversion goals, and linking Google AdWords to capture data. The new site allows for cross-domain tracking, automatic URL tracking, and minimizing human interaction. Future plans include monetizing goals and streamlining reporting.
The document provides tips on building an effective social media strategy. It discusses common mistakes like rushing into action without a plan, failing to measure objectives, and creating unengaging content. To avoid these, the document recommends setting clear goals and defining the appropriate platforms, resources, engagement tactics, and metrics for measuring reach and ROI. Lastly, it suggests focusing on relationships over technologies and learning from monitoring and analytics tools to improve the strategy.
How i learned to stop worrying and love big data machinesAnthony Behan
Presentation delivered to CorkCon 2016, an IBM Internal Conference on Ideas and Creativity. This presentation summarises my research on politics and big data, on technology and the state, and on the automation of government. Is it technics out of control? Or are we on the threshold of a great new age?
The document summarizes a lecture on mining social networks from online data. It discusses how social networks can be represented as graphs and how they exhibit community structures. It provides examples of analyzing political interactions on blogs from before the rise of Facebook and Twitter. The analysis found some evidence of "echo chambers" with liberal and conservative political blogs linking mostly within their own communities and discussing different topics.
This paper was presented at the 'Towards a Magna Carta for Data' workshop at the RDS in Dublin, Sept 17th. It discusses how considerations of the ethics of big data consist of much more than the issues of privacy and security that it often gets boiled down to, and argues that the various ethical issues related to big data are multidimensional and contested; vary in nature across domains, and which ethical philosophy is adopted matters to the deliberation over data rights.
This presentation, by big data guru Bernard Marr, outlines in simple terms what Big Data is and how it is used today. It covers the 5 V's of Big Data as well as a number of high value use cases.
The document discusses the rise of APIs and their role in liberating data. It notes that more data is now created in two days than was created from the dawn of civilization until 2003. APIs allow organizations to expose their data and capabilities to developers, fueling innovation. This can help companies transition to platform business models and create new revenue streams. The document outlines different types of data sources and discusses challenges around data quality, flows and monetization that APIs and analytics can help address. It provides examples of large companies that have built successful ecosystems by adopting API strategies.
Digital marketing strategy involves developing a plan to promote a brand and achieve goals using digital channels. It builds on traditional marketing strategies and integrates both online and offline tactics. An effective strategy considers factors like the target market, competitors, and core competencies. It also sets objectives, chooses appropriate digital tactics, and defines metrics to measure success. Regular monitoring and optimization is important to ensure the strategy continues meeting its goals over time.
Reputation based model for decision making in the digital ageTogar Simatupang
Reputation systems are programs that allow users to rate each other in online communities in order to build trust through reputation.
Presents the basics of reputation based model and provides many facets of reputation applications.
- Mining big data presents many current challenges including issues with variety, scalability, velocity, and privacy. Effective big data mining requires new tools and algorithms to handle large, diverse datasets generated at high speeds from various sources.
- Key challenges include dealing with heterogeneous and unstructured data from different sources, designing techniques that can scale to extremely large datasets, mining data fast enough to be valuable, and addressing privacy concerns when combining personal information from multiple datasets.
- Future work aims to develop new techniques to overcome scalability, speed, and privacy challenges in mining increasingly large and complex big data sources to unlock valuable insights.
Measuring Big Social data to make safe bets on audiencesSandra Hanchard
The document discusses how social media usage is widespread and embedded in everyday life in Malaysia. It notes that most Malaysians access social media daily and view it as important for information and communication. It also discusses how audiences prefer consuming content online and how tools exist for measuring big social data through demographics, behaviors, opinions, hashtags and more. Finally, it recommends that media companies adapt by releasing timely online content, listening to online audience cues, making safe bets on content with analytics tools, using data visualization to explore trends, and developing data science talent.
The document discusses the Internet of Things ecosystem and how to unlock business value from connected devices. It defines IoT and provides projections on growth. It outlines the complex IoT ecosystem and stakeholders involved. It presents a business value framework focused on financial metrics, operating metrics, and relationships. Common value drivers of cost reduction and risk management are discussed. Strategies to unlock more value through revenue generation and innovation are suggested, including focusing on product/customer lifecycles. Overcoming security and privacy challenges is also addressed.
Twitter analytics: some thoughts on sampling, tools, data, ethics and user re...Farida Vis
Keynote delivered at the SRA Social Media in Social Research conference, London, 24 June, 2013. The presentation highlights some thoughts on sampling, tools, data, ethics and user requirements for Twitter analytics, including an overview of a series of recent tools.
Digital Strategy - how to win elections with Big Data, Predictive Analytics and Social Media Engagement. A summary of the SMAC (social media - mobile - analytics - cloud) strategy of Obama's campaign teams in 2008 and 2012
Social Government Case Studies with Fels InstituteGranicus
In this webinar, hear directly from researchers at the University of Pennsylvania’s Fels Institute of Government, including communications expert Eric Rabe, who surveyed over 100 cities and led 20 in-depth interviews with government administrators to uncover promising practices from your peers across the country.
Presented by Mr Madhu Dharmarajan, Regional Head of Enterprise Architecture, Hewlett Packard Enterprise, at our 16th Architecture Community of Practice Forum on 25 Apr 2017.
Social indicator - Identifying Influencers And Measuring Their Success On Soc...Gabriella Fonseca Ribeiro
Social Indicator’s theoretical framework and scores provide a reliable and transparent method to identify influencers and measure their success by analysing engagement, supporting comparisons with other accounts and providing better insights to determine ROI in the social media landscape.
www.socialindicator.nl
The document summarizes Champlain College's transition to a new website and analytical goals and strategies. It discusses moving from separate past sites to a new single site, redesigning graphics and content, and integrating three external websites. It outlines key performance indicators and analytical goals to better understand site usage and traffic sources. Strategies include setting up Google Analytics profiles, defining event and conversion goals, and linking Google AdWords to capture data. The new site allows for cross-domain tracking, automatic URL tracking, and minimizing human interaction. Future plans include monetizing goals and streamlining reporting.
The document provides tips on building an effective social media strategy. It discusses common mistakes like rushing into action without a plan, failing to measure objectives, and creating unengaging content. To avoid these, the document recommends setting clear goals and defining the appropriate platforms, resources, engagement tactics, and metrics for measuring reach and ROI. Lastly, it suggests focusing on relationships over technologies and learning from monitoring and analytics tools to improve the strategy.
How i learned to stop worrying and love big data machinesAnthony Behan
Presentation delivered to CorkCon 2016, an IBM Internal Conference on Ideas and Creativity. This presentation summarises my research on politics and big data, on technology and the state, and on the automation of government. Is it technics out of control? Or are we on the threshold of a great new age?
The document summarizes a lecture on mining social networks from online data. It discusses how social networks can be represented as graphs and how they exhibit community structures. It provides examples of analyzing political interactions on blogs from before the rise of Facebook and Twitter. The analysis found some evidence of "echo chambers" with liberal and conservative political blogs linking mostly within their own communities and discussing different topics.
This paper was presented at the 'Towards a Magna Carta for Data' workshop at the RDS in Dublin, Sept 17th. It discusses how considerations of the ethics of big data consist of much more than the issues of privacy and security that it often gets boiled down to, and argues that the various ethical issues related to big data are multidimensional and contested; vary in nature across domains, and which ethical philosophy is adopted matters to the deliberation over data rights.
This presentation, by big data guru Bernard Marr, outlines in simple terms what Big Data is and how it is used today. It covers the 5 V's of Big Data as well as a number of high value use cases.
The document discusses the rise of APIs and their role in liberating data. It notes that more data is now created in two days than was created from the dawn of civilization until 2003. APIs allow organizations to expose their data and capabilities to developers, fueling innovation. This can help companies transition to platform business models and create new revenue streams. The document outlines different types of data sources and discusses challenges around data quality, flows and monetization that APIs and analytics can help address. It provides examples of large companies that have built successful ecosystems by adopting API strategies.
Digital marketing strategy involves developing a plan to promote a brand and achieve goals using digital channels. It builds on traditional marketing strategies and integrates both online and offline tactics. An effective strategy considers factors like the target market, competitors, and core competencies. It also sets objectives, chooses appropriate digital tactics, and defines metrics to measure success. Regular monitoring and optimization is important to ensure the strategy continues meeting its goals over time.
Reputation based model for decision making in the digital ageTogar Simatupang
Reputation systems are programs that allow users to rate each other in online communities in order to build trust through reputation.
Presents the basics of reputation based model and provides many facets of reputation applications.
- Mining big data presents many current challenges including issues with variety, scalability, velocity, and privacy. Effective big data mining requires new tools and algorithms to handle large, diverse datasets generated at high speeds from various sources.
- Key challenges include dealing with heterogeneous and unstructured data from different sources, designing techniques that can scale to extremely large datasets, mining data fast enough to be valuable, and addressing privacy concerns when combining personal information from multiple datasets.
- Future work aims to develop new techniques to overcome scalability, speed, and privacy challenges in mining increasingly large and complex big data sources to unlock valuable insights.
Measuring Big Social data to make safe bets on audiencesSandra Hanchard
The document discusses how social media usage is widespread and embedded in everyday life in Malaysia. It notes that most Malaysians access social media daily and view it as important for information and communication. It also discusses how audiences prefer consuming content online and how tools exist for measuring big social data through demographics, behaviors, opinions, hashtags and more. Finally, it recommends that media companies adapt by releasing timely online content, listening to online audience cues, making safe bets on content with analytics tools, using data visualization to explore trends, and developing data science talent.
The document discusses the Internet of Things ecosystem and how to unlock business value from connected devices. It defines IoT and provides projections on growth. It outlines the complex IoT ecosystem and stakeholders involved. It presents a business value framework focused on financial metrics, operating metrics, and relationships. Common value drivers of cost reduction and risk management are discussed. Strategies to unlock more value through revenue generation and innovation are suggested, including focusing on product/customer lifecycles. Overcoming security and privacy challenges is also addressed.
Twitter analytics: some thoughts on sampling, tools, data, ethics and user re...Farida Vis
Keynote delivered at the SRA Social Media in Social Research conference, London, 24 June, 2013. The presentation highlights some thoughts on sampling, tools, data, ethics and user requirements for Twitter analytics, including an overview of a series of recent tools.
The document discusses challenges and opportunities for data governance in the era of big data. It argues that traditional hierarchical models of data governance are insufficient and that a hybrid approach is needed that combines hierarchical control with networked empowerment. Specifically, it recommends (1) focusing on digitalizing trust through social capital, (2) shifting from predictive analytics to lifetime customer value, and (3) establishing Chief Data Officer leadership to oversee a collaborative, hybrid approach.
Once you’ve made the decision to leverage AI and/or machine learning, now you need to figure out how you will source the training data that is necessary for a fully functioning algorithm. Depending on your use case, you might need a significant amount of training data, and you’ll want to consider how that is labeled and annotated too.
View Applause's webinar with Cognilytica principal analysts Ronald Schmelzer and Kathleen Walch, alongside Kristin Simonini, Applause’s Vice President of Product, as they tackle the modern challenges that today’s companies face with sourcing training data.
This document provides an overview of predictive analytics, including its evolution, definition, process, tools and techniques. It discusses how predictive analytics is being used across various industries to optimize outcomes, increase revenue and reduce costs. Specific use cases are outlined, such as using IoT sensor data and predictive models to improve risk calculations for auto insurance, optimize energy usage in buildings, enhance customer recommendations, and optimize policy interventions. Business cases focus on how companies in various sectors leverage customer data and predictive analytics to increase digital marketing effectiveness, revenues, and customer loyalty. Overall, the document examines current and emerging applications of predictive analytics across different domains.
Big data comes from a variety of sources and in different formats. It is characterized by its volume, velocity, and variety. Organizations are using big data to gain business insights through analytics. This allows them to increase revenue, reduce costs, optimize processes, and manage risks. Examples of big data uses include marketing campaign analysis, customer segmentation, and fraud detection. Companies must overcome technological and organizational challenges to successfully leverage big data.
The document discusses privacy-preserving analytics and data mining challenges at LinkedIn. It describes LinkedIn's framework called PriPeARL that uses differential privacy to enable privacy-preserving analytics. Some key aspects include generating pseudo-random noise inspired by differential privacy, ensuring consistency of results over time and across queries, and evaluating the framework on LinkedIn ad analytics data. It also discusses lessons learned from over a year of deployment across various analytics applications at LinkedIn scale.
This document discusses developing metrics to assess how well digital resources adhere to the FAIR principles of findability, accessibility, interoperability, and reusability. It provides examples of potential metrics that could be used to measure compliance with each of the FAIR principles. It also discusses challenges around developing standardized and automated metrics given differences in resource types and communities. The goal is to define FAIRness indices made up of agreed upon metrics to help improve the findability, accessibility, interoperability and reusability of digital resources.
From Research to Applications: What Can We Extract with Social Media Sensing?Yiannis Kompatsiaris
SIGMAP22 Keynote Presentation:
Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. Social media and websites provide an access to public opinions on certain aspects and therefore play an important role in getting insights on targeted audiences. The objective of this talk is to provide an overview of social media mining, including key aspects such as data collection, multimodal analysis and visualization. Challenges, such as fighting misinformation, will be presented together with applications, results and demonstrations from multiple areas including: news, environment, security, interior and urban design.
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.
Opportunities and methodological challenges of Big Data for official statist...Piet J.H. Daas
1) The document discusses opportunities and challenges of using Big Data for official statistics. It describes Big Data as data that is difficult to collect, store, or process using conventional statistical systems due to issues of volume, velocity, structure, or variety.
2) The author outlines their experiences at Statistics Netherlands using various Big Data sources like traffic sensor data, mobile phone data, and social media data. They discuss methodological challenges in accessing and analyzing large volumes of data, dealing with noisy and unstructured data, and addressing issues of selectivity.
3) The document emphasizes the need for new skills like data science, high performance computing, and people with open and pragmatic mindsets to work with Big Data. It also addresses privacy
Overview of major factors in big data, analytics and data science. Illustrates the growing changes from data capture and the way it is changing business beyond technology industries.
"Developments in Accessibility of Information" - Access Israel 's 6th Annual ...Ricardo Garcia Bahamonde
Presentation on Digital Transformation trends, the risks of the digital accessibility gap becoming increasingly large and orientations for organizations that want to adopt digital accessibility
Lecture 5: Mining, Analysis and VisualisationMarieke van Erp
This is the fourth lecture in the Social Web course at the VU University Amsterdam
Visit the website for more information: <a>Social Web 2012</a>
Similar to What counts in social media? - Politics of Big Data conference (20)
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Slideshare: http://www.slideshare.net/PECBCERTIFICATION
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
Film vocab for eal 3 students: Australia the movie
What counts in social media? - Politics of Big Data conference
1. What
counts
in
social
media?
Politics of Big Data – Conference & Masterclass
Kings College, May 08 2015
Dr. Carolin Gerlitz - University of Amsterdam
2. Which data matters?
• Data critique often focuses on
calculation (Callon & Muniesa 2005):
the recombination of data-points.
• Second order metrics: scores,
recommendations, rankings,
sentiment, derrivatives, dashboards.
• But what do the first order metrics
that feed such composite metric make
countable and comparable in the first
place?
• Based on joint work with Bernhard
Rieder.
3. Becoming data-point
• Empirical research: ex-post classification.
• Digital media come with specific grammars of
action (Agre 1994) which invite & capture user
action in a standardised form.
• Grammars naturalise distinct use practices into
comparable data points, making heterogeneous
qualities countable and commensurable
(Espeland & Stevens 1998).
4. • Activities can come with different
intentions (Gerlitz & Helmond
2013).
• Interpretative flexibility build into
platforms (van Dijck 2012) allows
for resignification &
transformation.
• Multiple meanings may lead to
more data.
One number, multiple
meanings
5. • Platforms are increasingly being
accessed through clients,
automators, mobile interface or
cross-syndication practices.
• Platform-interoperability (Bodle
2012) & programmability: allow
for various ways of engaging with
and producing content.
One number, many
platforms
6. Repurposing digital
methods
• What lures behind social media
metrics and what animates
them?
• How to use digital research
methods not to repurpose but to
re-embed first order metrics?
• Example: Twitter.
• Twitter Capture & Analysis Toolkit
(DMI-TCAT).
7. 1% sample
• Ongoing project on 1%
random Twitter sample with
Bernhard Rieder (2013).
• Retrieved via Twitter
Streaming API.
• 1% sample as cross-section
on Twitter practices.
Links
Hashtags
The Data Set
1% Random 1% sample 14-20. June 2014
Mentions
Retweets
Replies
16.8
15.8
58.1
32.9
18.2
Tweets
Users
31.707.162
14.313.384
8. Decomposing metrics
• Starting point: source metric.
• Proliferation of access points to
Twitter: web, mobile, clients,
automators, cross-syndication,
custom clients.
• 72.000 sources in our sample.
14. • More nuanced account of non-
human activity beyond the notion
of ‘bots’ (Wilkie et al. 2014).
• Organic & automated content:
cross-syndication, scheduled
tweets, in-game tweets, automated
action, bots accounts.
• Approach to automatisation
beyond data-cleaning.
Dealing with the non-human
15. • Sources allow for different
regimes of being on Twitter:
alternative use practices,
grammars & politics.
• Data-formats/practices of Twitter
informed by data-formats of third
parties.
• Platform-interoperability (Bodle
2012) & -programmability:
technique of commensuration.
Dealing with
platform ecologies
16. The happening of
commensuration
• Commensuration not only a media or
metric effect.
• Distributed accomplishment: use
practices, platform interoperability,
hijacking, spam, humans, bots.
• ‘Happening’ (Lury & Wakeford 2012):
relational, dynamic, distributed.
17. Lively metrics
• What a metric counts is not
predefined by comparable grammars
of action.
• Subject to distributed
accomplishment, invite users & third
parties to write themselves into them.
• Lively metrics: realised differently,
subject to change, happening.
• What counts? Non-objective, dynamic
& situated.
• What can be counted counts (Badiou
2008): need for debates on
commensuration.