Sharing the Experience: Participatory culture, social media, interactive docu...Patrick Kelly
Sharing the Experience: Participatory culture, social media, interactive documentary, and nailing online engagement, the prototype, and report.
Patrick Kelly
Lecture for the RMIT subject Integrated Media 2.
Monday, 15th September, 2014.
Overview:
My background
How can we contextualise social media, interactivity and participation, when we approach from a heritage media background?
How do we successfully engage with the audience as users?
How do we connect our media practice with the investigation into the prompt?
LISTEN TO THE PRESENTATION HERE:
https://soundcloud.com/pmk1986/sharing-the-experience
This is the first lecture for my Intro to Social Media class at Loyola Marymount University. It provides a look back at the concepts that inspired today's social media phenomenon, as well as how these concepts evolved over the past 2000 years.
Media Technology and Society - Cyber SocietyFaindra Jabbar
Media Technology and Society
Topic: Cyber Society
Cyberspace
Cyber Society
Positive impact of Cyberspace
Negative impact of Cyberspace
Social Media
Web 2.0
Media, Technology, and Society - TelecommunityFaindra Jabbar
Media, Technology, and Society
Topic: Telecommunity
Overview
What is a community?
Classical theory of community
New trend of community
Globalization
How globalization impact community?
The rise of global communities of practice
Sharing the Experience: Participatory culture, social media, interactive docu...Patrick Kelly
Sharing the Experience: Participatory culture, social media, interactive documentary, and nailing online engagement, the prototype, and report.
Patrick Kelly
Lecture for the RMIT subject Integrated Media 2.
Monday, 15th September, 2014.
Overview:
My background
How can we contextualise social media, interactivity and participation, when we approach from a heritage media background?
How do we successfully engage with the audience as users?
How do we connect our media practice with the investigation into the prompt?
LISTEN TO THE PRESENTATION HERE:
https://soundcloud.com/pmk1986/sharing-the-experience
This is the first lecture for my Intro to Social Media class at Loyola Marymount University. It provides a look back at the concepts that inspired today's social media phenomenon, as well as how these concepts evolved over the past 2000 years.
Media Technology and Society - Cyber SocietyFaindra Jabbar
Media Technology and Society
Topic: Cyber Society
Cyberspace
Cyber Society
Positive impact of Cyberspace
Negative impact of Cyberspace
Social Media
Web 2.0
Media, Technology, and Society - TelecommunityFaindra Jabbar
Media, Technology, and Society
Topic: Telecommunity
Overview
What is a community?
Classical theory of community
New trend of community
Globalization
How globalization impact community?
The rise of global communities of practice
This presentation contains course information about FIC0114: Describing Mass Communication and the lecture for the first week, Intro to Mass Communication + Media Literacy
This presentation contains course information about FIC0114: Describing Mass Communication and the lecture for the first week, Intro to Mass Communication + Media Literacy
Sociology of the Internet and New Media.pptxSandykaFundaa
• Social Construction of Technology,
• Digital inequalities – Digital Divide and Access,
• Economy of New Media - Intellectual value;
• digital media ethics,
• new media and popular culture.
This is lecture 5 of a course on social media at the University of Winchester. This covers a brief overand history of blogs, microbloggs and Twitter, the public sphere and some of the research on # hastags and the consequences of using twitter.
Create your electronic footprint - Presentation given during IBM Super Women Group Yearly meeting. (over 500 IBM women attendees) Raleigh, NC - June 2009
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
2. What is a social network?
• Alternatively referred to as a virtual community or profile site, a social
network is a website that brings people together to talk, share ideas and
interests, or make new friends. This type of collaboration and sharing is
known as social media. Unlike traditional media that is typically created by
no more than ten people, social media sites contain content created by
hundreds or even millions of different people. Below is a small list of some
of the biggest social networks used today.
4. In the late 1890s, both Émile Durkheim
and Ferdinand Tönnies foreshadowed
the idea of social networks in their
theories and research of social groups.
Tönnies argued that social groups can
exist as personal and direct social ties
that either link individuals who share
values and belief (Gemeinschaft,
German, commonly translated as
"community") or impersonal, formal,
and instrumental social links
(Gesellschaft, German, commonly
translated as "society").
By the 1970s, a growing number of
scholars worked to combine the
different tracks and traditions. One
group consisted of sociologist Harrison
White and his students at the Harvard
University Department of Social
Relations.
5. Advantage
• - Reach the target audience quickly and at a relatively low cost.
• - Know and investigate what people think of the brand.
• - Help to increase the visibility of the brand by the scope they have.
• - Communicates the benefits of the products or services, as well as, publicize the activities of the company in the
social field.
• - Being able to respond quickly to customer comments or opinions.
6. Disadvantages
• - Not following clients can have a negative impact.
• - Provide only product information without adding a value.
• - Stop using social networks for a long period.
• - Not provide clear and detailed information about your company.
7. Education
• The advent of social networking platforms may also be impacting the way(s) in which learners engage
with technology in general. For a number of years, prensky (2001) dichotomy between Digital Natives
and Digital Immigrants has been considered a relatively accurate representation of the ease with
which people of a certain age range—in particular those born before and after 1980—use technology.
Prensky's theory has been largely disproved, however, and not least on account of the burgeoning
popularity of social networking sites and other metaphors such as White and Le Cornu's "Visitors" and
"Residents" (2011) are greater currency.