This document introduces artificial intelligence and the introductory AI module. It defines AI as building intelligent entities or getting computers to perform tasks requiring human intelligence. It discusses representing knowledge, problem solving through search, and programming in Prolog to represent facts and rules and find answers through questioning. The module covers topics like knowledge representation, search, natural language, machine learning, and agents.
This document provides an introduction to artificial intelligence (AI). It defines AI as building intelligent entities or getting computers to perform tasks that require human intelligence. While intelligence involves reasoning with knowledge, even simple tasks like face recognition, navigation, and language understanding are difficult to automate. AI aims both to better understand human intelligence by modeling it, and to create useful programs that can perform expert tasks. Achieving human-level AI involves contributions from computer science, psychology, philosophy, linguistics, and biology. Typical AI problems involve both mundane and expert tasks. Philosophical issues around what constitutes intelligence and the nature of the human mind are also discussed. The document introduces Prolog as a language for knowledge representation and search used in AI programming.
What shape is your classroom? Why? Join AgileBill Krebs and John "Pathfinder" Lester as we explore the criteria used to build your next teaching venue.
Data visualization is the graphical representation of information and data. It is used to communicate data or information clearly and effectively to readers by leveraging the human mind's receptiveness to visual information. Effective data visualization can improve transparency and communication, answer questions, discover trends, find patterns, see data in context, support calculations, and present or tell a story. Common tools for data visualization include charts, graphs, maps, and diagrams. Specialized roles involved in data visualization include data visualization experts, data analysts, business intelligence consultants, tool-specific consultants, business analysts, and data scientists.
Data visualization through network graphinggesinaphillips
Workshop two of a two-workshop series for graduate-level English students. Find part one here: https://www.slideshare.net/gesinaphillips/creating-metadata-for-data-visualization-100296871
These are the slides from a talk I gave at dropbox this month (Feb 2012). It was a narrative about the evolution of bitly and a technical presentation about algorithms and infrastructure. The live demo portion is not represented in the slides (and each of the visuals has an accompanying story).
The document discusses developing user-centered products and adopting an agile development methodology that incorporates user feedback through iterative testing. It advocates designing for tablets like the iPad to expand the target demographic to include non-traditional users. The document also discusses analyzing user behaviors and mental models to develop more adaptive and customizable user interfaces.
This document introduces artificial intelligence and the introductory AI module. It defines AI as building intelligent entities or getting computers to perform tasks requiring human intelligence. It discusses representing knowledge, problem solving through search, and programming in Prolog to represent facts and rules and find answers through questioning. The module covers topics like knowledge representation, search, natural language, machine learning, and agents.
This document provides an introduction to artificial intelligence (AI). It defines AI as building intelligent entities or getting computers to perform tasks that require human intelligence. While intelligence involves reasoning with knowledge, even simple tasks like face recognition, navigation, and language understanding are difficult to automate. AI aims both to better understand human intelligence by modeling it, and to create useful programs that can perform expert tasks. Achieving human-level AI involves contributions from computer science, psychology, philosophy, linguistics, and biology. Typical AI problems involve both mundane and expert tasks. Philosophical issues around what constitutes intelligence and the nature of the human mind are also discussed. The document introduces Prolog as a language for knowledge representation and search used in AI programming.
What shape is your classroom? Why? Join AgileBill Krebs and John "Pathfinder" Lester as we explore the criteria used to build your next teaching venue.
Data visualization is the graphical representation of information and data. It is used to communicate data or information clearly and effectively to readers by leveraging the human mind's receptiveness to visual information. Effective data visualization can improve transparency and communication, answer questions, discover trends, find patterns, see data in context, support calculations, and present or tell a story. Common tools for data visualization include charts, graphs, maps, and diagrams. Specialized roles involved in data visualization include data visualization experts, data analysts, business intelligence consultants, tool-specific consultants, business analysts, and data scientists.
Data visualization through network graphinggesinaphillips
Workshop two of a two-workshop series for graduate-level English students. Find part one here: https://www.slideshare.net/gesinaphillips/creating-metadata-for-data-visualization-100296871
These are the slides from a talk I gave at dropbox this month (Feb 2012). It was a narrative about the evolution of bitly and a technical presentation about algorithms and infrastructure. The live demo portion is not represented in the slides (and each of the visuals has an accompanying story).
The document discusses developing user-centered products and adopting an agile development methodology that incorporates user feedback through iterative testing. It advocates designing for tablets like the iPad to expand the target demographic to include non-traditional users. The document also discusses analyzing user behaviors and mental models to develop more adaptive and customizable user interfaces.
This document provides an introduction to the key concepts of artificial intelligence (AI). It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. It discusses definitions of AI, intelligence, and intelligent behavior. It outlines the goals of AI as developing systems that think and act like humans or rationally. It describes common AI approaches such as cognitive science, laws of thought, the Turing test, and rational agents. It also discusses techniques used in AI systems, including describe and match, goal reduction, and biology-inspired techniques like neural networks and genetic algorithms. Finally, it mentions several branches and applications of AI.
Artificial intelligence is the area of computer science focused on creating intelligent machines. The document discusses the history and branches of AI. It provides examples of early successes in games like chess. It also discusses the knowledge needed to learn AI, such as mathematics and programming languages. Finally, it outlines several applications of AI in fields like medicine, transportation, and games.
This presentation give an introduction to Artificial Intelligence subjectiveness and history. The primary goal of the presentation is to provide a deep enough understanding of Artificial Narrow Intelligence and Artificial General Intelligence so that the people can appreciate the strengths or weaknesses of the AI. The presentation also includes a classification(the main domains of AI) and the most relevant examples from the past decades. In the second part it provides some statistics and future possible applications and forecasts.
IIPGH Webinar 1: Getting Started With Data Scienceds4good
In this webinar for ICT Professionals Ghana, we explore the concepts of data science and its motivations as a recent specialization. creating the background for how Artificial Intelligence relates to Machine Learning and to Deep Learning. We further discuss the data science technology stack and the opportunities that exist in the space.
Human level artificial general intelligence agiKarlos Svoboda
This document discusses different scenarios for the future development of artificial general intelligence (AGI). It begins by contrasting narrow AI, which focuses on solving specific problems, with AGI, which would involve a system that can understand itself, generalize knowledge across domains, and transfer skills like humans. The document then outlines several possible scenarios using the framework of scenario analysis: 1) steady incremental progress of narrow AI eventually reaching AGI, 2) narrow AI continues successfully but AGI is not achieved, and 3) AGI is developed, rapidly improves itself, and leads to a technological singularity transforming society in unpredictable ways. It discusses these scenarios and their implications in more detail.
24 April 2016, Volume 53, Number 4We Feel a Change Comin’ .docxtamicawaysmith
24 April 2016, Volume 53, Number 4
We Feel a Change Comin’ On:
I-O’s Rôle in the Future of Work
We in I-O are fairly sporting when it comes to discussing the
ambiguities and contradictions and inconsistencies associated
with the nuances of human behavior in the workplace—cheers
to us. We seem to falter, though, when it comes to talking
about the future: the future of work, of organizations, of SIOP,
of our own jobs. Our narratives become jumbled; we start
talking past each other, focusing on different criteria, making
different assumptions. Our background in science doesn’t
prepare us to have meaningful conversations about specula-
tion, prophecy, conjecture. This may be a point to our credit
on most days, but it will not serve us if and when the world
changes and we are caught off guard and unprepared.
Hence the focus for this edition of the I-Opener: Where is the
world of work going and where will we fit in it? The discussion
below is imperfect: It represents a single narrative among
many possible narratives, a few perspectives among a myriad,
many questionable assumptions. We simplified and filtered
the prophecies; we asked leading and targeted questions; we,
to some extent, knew what we were going to write before we
began interviewing experts.
But this serves our purpose adequately. We want to start
SIOP’s membership down this path of thought—and the more
varied the conclusions at which members arrive, the better.
We want to reveal the changes that are being anticipated.
Instead of simply wondering at the forward march of technol-
ogy, let’s start thinking (and talking) about what this means for
us, not in the narrow sense of job security and personal leisure
time but in terms of how I-O psychology will adapt to continue
to serve humanity in the coming decades.1
What: The (Possible) Brave New World
A continual influx of new technology has become rather com-
monplace these days, and most of us are comfortable with
and even dependent upon the rôle technology has assumed
in our lives, but what about its rôle in our work? How and to
Olivia Reinecke
Louisiana Tech University
Steven Toaddy
Louisiana Tech University
25 The Industrial-Organizational Psychologist
what extent is technology improving the
human work experience? How and at what
point will technology become dangerous?
Dangerous to whom or to what? Questions
such as these are at the forefront of our
field’s development, and the answers will
transform I-O psychology as we know it.
Upon reading the preceding paragraph,
one is likely to consider one of a few cat-
egories of technologies: telework, collab-
orative cloud services, and automation.
“Telework” captures a variety of (in this
case electronic) technologies that allow
humans to better coördinate with each
other in their work activities—and has sib-
lings in the cloud in the form of electronic
workflow-management suites, collabora-
tive-document services, shared calendar ...
Human-in-the-loop: a design pattern for managing teams which leverage ML by P...Big Data Spain
Human-in-the-loop is an approach which has been used for simulation, training, UX mockups, etc.
https://www.bigdataspain.org/2017/talk/human-in-the-loop-a-design-pattern-for-managing-teams-which-leverage-ml
Big Data Spain Conference
16th -17th November - Kinépolis Madrid
This document provides an overview of an Artificial Intelligence course. The objective of the course is to present the basic principles and methods of AI to prepare students to build complex intelligent systems. The course will explore AI search strategies and introduce expert system technologies to handle uncertainty. Students will learn the principles that make intelligence possible in humans, animals, and machines. They will also learn how to develop intelligent agents and human-machine systems. The course will use textbooks and research papers as resources and require prerequisites in discrete mathematics, data structures, and programming tools like Prolog. It will cover topics like search, reasoning, problem solving, and machine learning over a tentative schedule.
HackerEarth is pleased to announce its next session to help you understand what it really takes to become a data scientist.
Agenda of this session will include answers to the following questions:
- Why is it the best time to take up Data Science as a career?
- How can you take the first step in Data Science? (After all, first step is always the hardest!)
- How can you become better and progress fast?
- How is life after becoming a Data Scientist?
Speaker:
Jesse Steinweg-Woods is soon-to-be a Senior Data Scientist at tronc, working on recommender systems for articles and understanding customer behavior. Previously, he worked at Argo Group Insurance on new pricing models that took advantage of machine learning techniques. He received his PhD in Atmospheric Science from Texas A&M University, and his research focused on numerical weather and climate prediction.
2820181Phil 2 Puzzles and ParadoxesProf. Sven B.docxlorainedeserre
This document discusses Grelling's Paradox, which is a semantic paradox similar to the liar paradox. It defines the terms "heterological" and "autological" and examines whether the term "heterological" is itself heterological. It leads to a contradiction, as both assuming that "heterological" is and is not heterological results in a contradiction. The document then shifts topics to discuss future trends in training and development, including increased use of new technologies, sustainability initiatives, and advances in areas like neuroscience and data analysis that will influence the field.
Evolving as a professional software developerAnton Kirillov
This is second edition of my keynote "On Being a Professional Software Developer" with slide comments (in Russian) which contain main ideas of the keynote.
I hope the slides could be used as a standalone reading material.
The document discusses the past, present, and future of programming from a human-computer interaction perspective. It provides a historical overview of programming and discusses challenges in translating how people think and solve problems into computer terms. It also suggests that lessons may come from other fields beyond HCI and that not all problems need to be solved through programming computers.
The document discusses the role of humans ("the I") in artificial intelligence (AI). It argues that while AI can automate well-defined tasks, humans are still needed to interpret outcomes, discover new contexts, and determine what constitutes value. True intelligence is demonstrated through creative problem solving in unfamiliar situations. While AI can become more capable over time through advances in processing power, humans remain uniquely able to apply their judgment and understanding of purpose and usefulness.
Hpai class 12 - potpourri & perception - 032620melendez321
This document provides an overview of a class on human perspective in artificial intelligence. It includes announcements about homework assignments and exam dates. It discusses expectations for a final project report and software demonstration. It covers suggested topics for future classes such as programming, language, applications, and futurism. Students provided comments and questions on these topics. The document emphasizes examining topics from a human perspective regarding how the mind and senses work. It includes examples related to vision, perception, and memory.
This document discusses the importance of data fluency skills in the 21st century. It defines key terms like data science, machine learning, data literacy, and statistical literacy. While these fields require extensive training, the document argues that domain expertise combined with basic data analysis skills can solve many problems. These basic skills include understanding data structures, using programming to interact with data, and exploratory data analysis through visualization. The data analysis process involves defining problems, collecting and preparing data, visualization and modeling, and communicating results. RStudio is presented as a tool that can support the entire data analysis process within a single integrated development environment.
Artificial intelligence (AI) encompasses the creation of computer systems capable of executing tasks that traditionally necessitate human intelligence. These tasks include learning, problem-solving, decision-making, and pattern recognition.
Now, let's take a lighthearted look at AI, natural language processing (NLP), and natural language understanding (NLU).
Comparing Drug Trade on Tor in Finnish, Polish, and English Speaking CulturesPiotr Siuda
Organizer: International Communication Association, University of Warsaw.
Conference: 2024 International Communication Association (ICA) regional conference Human Tech Transition: Crises in Mediatized Politics, Society & Economy, Warsaw, March 13-15, 2024.
Paper: Comparing Drug Trade on Tor in Finnish, Polish, and English Speaking Cultures.
This document provides an introduction to the key concepts of artificial intelligence (AI). It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. It discusses definitions of AI, intelligence, and intelligent behavior. It outlines the goals of AI as developing systems that think and act like humans or rationally. It describes common AI approaches such as cognitive science, laws of thought, the Turing test, and rational agents. It also discusses techniques used in AI systems, including describe and match, goal reduction, and biology-inspired techniques like neural networks and genetic algorithms. Finally, it mentions several branches and applications of AI.
Artificial intelligence is the area of computer science focused on creating intelligent machines. The document discusses the history and branches of AI. It provides examples of early successes in games like chess. It also discusses the knowledge needed to learn AI, such as mathematics and programming languages. Finally, it outlines several applications of AI in fields like medicine, transportation, and games.
This presentation give an introduction to Artificial Intelligence subjectiveness and history. The primary goal of the presentation is to provide a deep enough understanding of Artificial Narrow Intelligence and Artificial General Intelligence so that the people can appreciate the strengths or weaknesses of the AI. The presentation also includes a classification(the main domains of AI) and the most relevant examples from the past decades. In the second part it provides some statistics and future possible applications and forecasts.
IIPGH Webinar 1: Getting Started With Data Scienceds4good
In this webinar for ICT Professionals Ghana, we explore the concepts of data science and its motivations as a recent specialization. creating the background for how Artificial Intelligence relates to Machine Learning and to Deep Learning. We further discuss the data science technology stack and the opportunities that exist in the space.
Human level artificial general intelligence agiKarlos Svoboda
This document discusses different scenarios for the future development of artificial general intelligence (AGI). It begins by contrasting narrow AI, which focuses on solving specific problems, with AGI, which would involve a system that can understand itself, generalize knowledge across domains, and transfer skills like humans. The document then outlines several possible scenarios using the framework of scenario analysis: 1) steady incremental progress of narrow AI eventually reaching AGI, 2) narrow AI continues successfully but AGI is not achieved, and 3) AGI is developed, rapidly improves itself, and leads to a technological singularity transforming society in unpredictable ways. It discusses these scenarios and their implications in more detail.
24 April 2016, Volume 53, Number 4We Feel a Change Comin’ .docxtamicawaysmith
24 April 2016, Volume 53, Number 4
We Feel a Change Comin’ On:
I-O’s Rôle in the Future of Work
We in I-O are fairly sporting when it comes to discussing the
ambiguities and contradictions and inconsistencies associated
with the nuances of human behavior in the workplace—cheers
to us. We seem to falter, though, when it comes to talking
about the future: the future of work, of organizations, of SIOP,
of our own jobs. Our narratives become jumbled; we start
talking past each other, focusing on different criteria, making
different assumptions. Our background in science doesn’t
prepare us to have meaningful conversations about specula-
tion, prophecy, conjecture. This may be a point to our credit
on most days, but it will not serve us if and when the world
changes and we are caught off guard and unprepared.
Hence the focus for this edition of the I-Opener: Where is the
world of work going and where will we fit in it? The discussion
below is imperfect: It represents a single narrative among
many possible narratives, a few perspectives among a myriad,
many questionable assumptions. We simplified and filtered
the prophecies; we asked leading and targeted questions; we,
to some extent, knew what we were going to write before we
began interviewing experts.
But this serves our purpose adequately. We want to start
SIOP’s membership down this path of thought—and the more
varied the conclusions at which members arrive, the better.
We want to reveal the changes that are being anticipated.
Instead of simply wondering at the forward march of technol-
ogy, let’s start thinking (and talking) about what this means for
us, not in the narrow sense of job security and personal leisure
time but in terms of how I-O psychology will adapt to continue
to serve humanity in the coming decades.1
What: The (Possible) Brave New World
A continual influx of new technology has become rather com-
monplace these days, and most of us are comfortable with
and even dependent upon the rôle technology has assumed
in our lives, but what about its rôle in our work? How and to
Olivia Reinecke
Louisiana Tech University
Steven Toaddy
Louisiana Tech University
25 The Industrial-Organizational Psychologist
what extent is technology improving the
human work experience? How and at what
point will technology become dangerous?
Dangerous to whom or to what? Questions
such as these are at the forefront of our
field’s development, and the answers will
transform I-O psychology as we know it.
Upon reading the preceding paragraph,
one is likely to consider one of a few cat-
egories of technologies: telework, collab-
orative cloud services, and automation.
“Telework” captures a variety of (in this
case electronic) technologies that allow
humans to better coördinate with each
other in their work activities—and has sib-
lings in the cloud in the form of electronic
workflow-management suites, collabora-
tive-document services, shared calendar ...
Human-in-the-loop: a design pattern for managing teams which leverage ML by P...Big Data Spain
Human-in-the-loop is an approach which has been used for simulation, training, UX mockups, etc.
https://www.bigdataspain.org/2017/talk/human-in-the-loop-a-design-pattern-for-managing-teams-which-leverage-ml
Big Data Spain Conference
16th -17th November - Kinépolis Madrid
This document provides an overview of an Artificial Intelligence course. The objective of the course is to present the basic principles and methods of AI to prepare students to build complex intelligent systems. The course will explore AI search strategies and introduce expert system technologies to handle uncertainty. Students will learn the principles that make intelligence possible in humans, animals, and machines. They will also learn how to develop intelligent agents and human-machine systems. The course will use textbooks and research papers as resources and require prerequisites in discrete mathematics, data structures, and programming tools like Prolog. It will cover topics like search, reasoning, problem solving, and machine learning over a tentative schedule.
HackerEarth is pleased to announce its next session to help you understand what it really takes to become a data scientist.
Agenda of this session will include answers to the following questions:
- Why is it the best time to take up Data Science as a career?
- How can you take the first step in Data Science? (After all, first step is always the hardest!)
- How can you become better and progress fast?
- How is life after becoming a Data Scientist?
Speaker:
Jesse Steinweg-Woods is soon-to-be a Senior Data Scientist at tronc, working on recommender systems for articles and understanding customer behavior. Previously, he worked at Argo Group Insurance on new pricing models that took advantage of machine learning techniques. He received his PhD in Atmospheric Science from Texas A&M University, and his research focused on numerical weather and climate prediction.
2820181Phil 2 Puzzles and ParadoxesProf. Sven B.docxlorainedeserre
This document discusses Grelling's Paradox, which is a semantic paradox similar to the liar paradox. It defines the terms "heterological" and "autological" and examines whether the term "heterological" is itself heterological. It leads to a contradiction, as both assuming that "heterological" is and is not heterological results in a contradiction. The document then shifts topics to discuss future trends in training and development, including increased use of new technologies, sustainability initiatives, and advances in areas like neuroscience and data analysis that will influence the field.
Evolving as a professional software developerAnton Kirillov
This is second edition of my keynote "On Being a Professional Software Developer" with slide comments (in Russian) which contain main ideas of the keynote.
I hope the slides could be used as a standalone reading material.
The document discusses the past, present, and future of programming from a human-computer interaction perspective. It provides a historical overview of programming and discusses challenges in translating how people think and solve problems into computer terms. It also suggests that lessons may come from other fields beyond HCI and that not all problems need to be solved through programming computers.
The document discusses the role of humans ("the I") in artificial intelligence (AI). It argues that while AI can automate well-defined tasks, humans are still needed to interpret outcomes, discover new contexts, and determine what constitutes value. True intelligence is demonstrated through creative problem solving in unfamiliar situations. While AI can become more capable over time through advances in processing power, humans remain uniquely able to apply their judgment and understanding of purpose and usefulness.
Hpai class 12 - potpourri & perception - 032620melendez321
This document provides an overview of a class on human perspective in artificial intelligence. It includes announcements about homework assignments and exam dates. It discusses expectations for a final project report and software demonstration. It covers suggested topics for future classes such as programming, language, applications, and futurism. Students provided comments and questions on these topics. The document emphasizes examining topics from a human perspective regarding how the mind and senses work. It includes examples related to vision, perception, and memory.
This document discusses the importance of data fluency skills in the 21st century. It defines key terms like data science, machine learning, data literacy, and statistical literacy. While these fields require extensive training, the document argues that domain expertise combined with basic data analysis skills can solve many problems. These basic skills include understanding data structures, using programming to interact with data, and exploratory data analysis through visualization. The data analysis process involves defining problems, collecting and preparing data, visualization and modeling, and communicating results. RStudio is presented as a tool that can support the entire data analysis process within a single integrated development environment.
Artificial intelligence (AI) encompasses the creation of computer systems capable of executing tasks that traditionally necessitate human intelligence. These tasks include learning, problem-solving, decision-making, and pattern recognition.
Now, let's take a lighthearted look at AI, natural language processing (NLP), and natural language understanding (NLU).
Similar to Workshop: AI's Role in Scientific Research (20)
Comparing Drug Trade on Tor in Finnish, Polish, and English Speaking CulturesPiotr Siuda
Organizer: International Communication Association, University of Warsaw.
Conference: 2024 International Communication Association (ICA) regional conference Human Tech Transition: Crises in Mediatized Politics, Society & Economy, Warsaw, March 13-15, 2024.
Paper: Comparing Drug Trade on Tor in Finnish, Polish, and English Speaking Cultures.
Popularizing and Connecting Esports Research: Introduction to the Esports Min...Piotr Siuda
04/01/2024; event: 57th Annual Hawaii International Conference on System Sciences, HICSS 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, University of Manoa
After the Attack: Introduction to the Cybercrime MinitrackPiotr Siuda
04/01/2024; event: 57th Annual Hawaii International Conference on System Sciences, HICSS 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, University of Manoa
The Next Level of Horror Entertainment: Facing Fear in Cooperative Interactiv...Piotr Siuda
04/01/2024; event: 57th Annual Hawaii International Conference on System Sciences, HICSS 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, University of Manoa
Horror entertainment continues to change, with horror games being another step in this evolution after literature and movies. The paper characterizes how the cooperative mode of Dark Pictures Anthology games influences the horror experience of players. The Anthology has been analyzed via a close reading of selected Let’s Play videos, with 42 complete playthroughs analyzed and 18 playlists sampled. The article demonstrates how scare tactics deployed by developers cause players to feel more discomfort compared to a single-player mode. The split perspective of co-op exacerbates stress, tension, and fear as these are being experienced regarding not only oneself but also the other player. Additionally, players’ meta-genre knowledge combines with cooperation, thus influencing decisions and, ultimately, the game experiences. All this means that the cooperative way of playing may be seen as yet another step in the horror entertainment evolution.
Dziesięć lat kierunku humanistyka drugiej generacji. Czas zmian i plany na pr...Piotr Siuda
01/12/2023; impreza: Festiwal Indyków + Pierwsza Niezależna Konferencja Twórców Gier; Koło Naukowe Twórców Gier Gamedec, Katedra Badania Gier i Kultury Cyfrowej, Uniwersytet Kazimierza Wielkiego w Bydgoszczy
Sztuczna inteligencja (AI), gry i edukacjaPiotr Siuda
04/12/2023; impreza: Konferencja Naukowa „Lustro Mediów IV: Od Chat botów do CX i UX”; Politechnika Gdańska, Uniwersytet Gdański, Uniwersytet Jagielloński, Pomorski Instytut Naukowy im. Profesora Brunona Synaka
Media sports and esports during the COVID-19 pandemic - project reportPiotr Siuda
20/06/2023; event: “The World of Media Transition” International Scientific Seminar; The Laboratory of Media Studies at the University of Warsaw, Faculty of Journalism, Information, and Book Studies, University of Warsaw
Darknet imaginaries: The discursive malleability of the cultural status of di...Piotr Siuda
This document discusses a research study analyzing 505 internet memes related to the darknet in order to understand how they collectively contribute to cultural conceptions of this niche technology. The researchers identified 9 themes across the memes, including depictions of the darknet vs the clear web, darknet technology and users, the shadowy nature of the darknet, unexpected aspects of the darknet, and dark humor related to the darknet. The analysis shows that internet memes present a complex, diverse, and sometimes contradictory representation of the darknet, demonstrating the discursive malleability of how cultural status is developed for niche technologies with few users.
Toward Successful Esports Team: How Does National Diversity Affect Multiplaye...Piotr Siuda
1. The study examined how national diversity of players on professional Dota 2 esports teams affects team effectiveness.
2. The researchers analyzed data from 212 teams competing in 9 International and 5 Major tournaments from 2011-2018.
3. They found that teams with players from at least three different nationalities generally had higher win ratios, indicating more effectiveness, than less diverse or mononational teams.
Microtransaction Politics in FIFA Ultimate Team: Game Fans, Twitch Streamers,...Piotr Siuda
01/12/2022; event: The World Cup Conference, MultiPlay
The video game FIFA (Electronic Arts) is an annually released title with a very profitable “FIFA Ultimate Team” (FUT) game mode played by a large community of gamers. This has led to the emergence of celebrity FUT content creators on Twitch and on YouTube, yet also tensions between these individuals, the “average” player, and the game’s developers. The chapter explores players’ attitudes to and issues with the more powerful actors within the FUT ecosystem, offering us an incisive case study of ongoing changes and tensions in the relationships between players, developers, and content creators. In study design and analysis, the qualitative directed content analysis approach was used, as the chapter extands the project conducted over three years on the official FUT forum by one of the authors. Key categories of gamers’ criticism of content creators are indicated, keeping in mind biases that could result from this deductive approach. The players see content creators on Twitch and YouTube as a source of numerous frustrations related to gameplay, as reinforcing the game’s micropayment, and even as solely self-interested profit-makers with little “true” interest in the game. This even extends to what can only be termed conspiracy theories about the relationships between EA and FUT’s most visible content creators, with players proposing numerous surreptious connectinos between the two. The chapter hence shows what happens when successful game content creators, and the “average” player, clash, and how FUT is a valuable case study of emerging power dynamics within gaming and game culture more broadly.
Cancer on TikTok–Evaluating Online Self-Disclosure Using Directed Content Ana...Piotr Siuda
03/11/2022; event: Internet Research conference (AOiR 2022), Technical University Dublin
The presented paper characterizes TikTok practices of users with cancer and uses notions of social media as positive culture (presenting oneself without undesirable traits) and online self-disclosure understood as providing intimate, private information about oneself. The research continues the work on self-disclosure of women with breast cancer using Instagram. However, this previous research revolved around posts, and thus was limited. The current study on TikTok asks the following questions: 1) are TikTok videos disclosing information in the manner the previous research on Instagram shows? 2) What are the creators’ motivations and what meanings do they give to disclosing cancer and how do the users position themselves considering the positive culture? The study uses categories from previous work and combines qualitative directed content analysis (DCA; 862 videos are analyzed) with in-depth interviews (n=8), and these go beyond DCA to a more nuanced understanding of the users’ lived experience. Similar to Instagram, TikTok is a tool for negative (e.g., fears, anxiety, pain) and positive self-disclosure (e.g., joyful life events, self-acceptance, self-affirmation) with the prevalence of positive and educational videos (e.g. prevention, debunking stereotypes and normalizing the disease). The respondents feel especially competent to educate others because of their experiences. The research undermines the traditional understanding of online self-disclosure, as for users seeking support is not that important, compared to informing and warning others. Also, the study debunks positive culture as a too-general category, as the interviewees constitute a particular niche and seem not to care how they are perceived while disclosing cancer.
Imaginaria darknetu w internetowych memachPiotr Siuda
23/09/2022; event: The 6th Congress of the Polish Communication Association; organizers: Polish Communication Association, University of Gdansk; European Solidarity Centre; venue: Faculty of Social Sciences, University of Gdansk
Sport w czasach pandemii. O powiązaniu sportu, mediów i gierPiotr Siuda
28/07/2020; impreza: Wykład online w ramach projektu „Latający Uniwersytet Każdego Wieku”; organizacja: Kujawsko-pomorskie Centrum Kultury w Bydgoszczy.
Starzenie się a nowe technologie komunikacyjnePiotr Siuda
03/06/2020; impreza: Wykład online w ramach projektu „Latający Uniwersytet Każdego Wieku”; organizacja: Kujawsko-pomorskie Centrum Kultury w Bydgoszczy.
This document discusses how the film industry has adjusted during the COVID-19 pandemic. Physical film production and cinema closures led to questions about the industry's future. Video on demand (VOD) streaming grew significantly as people subscribed to new services. The film industry is exploring changes like drive-in screenings and virtual productions to continue operating under social distancing restrictions. The pandemic has accelerated pre-existing trends of increased VOD consumption and may permanently change the film industry landscape.
22/04/2020; impreza: Wykład online w ramach projektu „Latający Uniwersytet Każdego Wieku”; organizacja: Kujawsko-pomorskie Centrum Kultury w Bydgoszczy.
Religia i internet. Kilka uwag teoretycznychPiotr Siuda
14/11/2019; impreza: XI Toruńskie Sympozjum poświęcone Religiom i Alternatywnym Ruchom Religijnym; organizacja: Wydział Teologiczny UMK w Toruniu; miejsce: Centrum Dialogu Jana Pawła II, Toruń.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...EduSkills OECD
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
3. Working with AI: guidelines and AI detection
and transparency
- Part 1 -
4. IS CHATGPT ALL
THERE IS?
ChatGPT offers a diverse set of applications. It can assist with
writing, visualizing data, analyzing information, conceptual
tasks, and more. However...
My aim is to introduce you to a
variety of (better) tools.
5. HOW TO ADDRESS AI?
Prompting: “the act of trying to make someone say something”
(Cambridge Dictionary).
IS THERE SUCH A
THING AS AN IDEAL
PROMPT?
Clarify the role of AI.
Define tasks clearly.
Provide context.
Establish boundaries and limitations.
Choose the format.
Decide on the style and tone.
Consider the desired temperature.
6. THINGS TO BE CAUTIOUS ABOUT
WHEN UTILIZING AI
Verification
Follow-up
Expressing
creativity
Errors
9. AI tools utilized during conceptualizing
research, sourcing, and organizing literature
- Part 2 -
10. AI REFERENCE
MANAGERS?
Using them in a literature review, whether
systematic or narrative, can be challenging,
but they can prove beneficial at various
points in our projects.
U S E T H E S E W I T H
T R A D I T I O N A L
M A N A G E R S !