I gave a talk at Xerox Europe Research Center (Grenoble, France) on Mar. 3. 2014. This included a couple of projects in my research lab that examine shared rationales in group activities.
Many nonprofits and foundations have been using social network analysis (SNA) and organizational network analysis (ONA) techniques in program assessment, planning, and measurement. This webinar will review a number of techniques that are being used and the ways that the results of network analysis are informing and supporting the ways that nonprofits are leveraging networks to achieve greater good by creating, facilitating, and weaving networks.
This document outlines approaches for context-aware venue recommendation. It proposes applying machine learning techniques to classify contextual appropriateness of venues by leveraging user-generated data from location-based social networks. Deep learning algorithms are used to model user preferences and venue characteristics from explicit feedback like ratings and implicit feedback like check-ins and comments. Contextual and collaborative filtering approaches are developed using techniques like matrix factorization, word embeddings, and deep recurrent neural networks to make personalized venue recommendations while addressing data sparsity issues. Evaluation is done on real-world datasets involving ratings, reviews, and check-ins to validate the ability of the approaches to suggest interesting venues based on a user's preferences and surrounding context.
Evaluating research impact: From a specific case to general guidelines. Anne Bergen
This workshop presentation to the Canadian Knowledge Mobilization Forum (2016) provided an overview of research impact evaluation, from planning, to implementing, to understanding and using the results.
Skills & ideas for #ProblemGamblingKTE Anne Bergen
Skills & ideas for #ProblemGamblingKTE. (2104). Part of the "Moving Research Forward" Workshop Series for the Ontario Problem Gambling Research Centre.
Mobile Age: Open Data Mobile Apps to Support Independent LivingMobile Age Project
We present design insights for developing mobile services for senior citizens which have emerged through substantive engagement with end users and other stakeholders. We describe the aims of the Mobile Age project, and the ideas and rationale for applications that have emerged through a co-creation process. A trusted data platform is proposed along with apps that bring open data and mobile technology to work for an underserved population.
Christopher N. Bull
Will Simm
Bran Knowles
Oliver Bates
Nigel Davies
School of Computing and
Communications,
Lancaster University,
Lancaster, UK
c.bull@lancaster.ac.uk
branknowles9@gmail.com
w.simm@lancaster.ac.uk
o.bates@lancaster.ac.uk
n.a.davies@lancaster.ac.uk
Anindita Banerjee
Lucas Introna
Niall Hayes
Centre for the Study of Technology
and Organisation,
Lancaster University,
Lancaster, UK
a.banerjee2@lancaster.ac.uk
n.hayes@lancaster.ac.uk
l.introna@lancaster.ac.uk
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other
uses, contact the Owner/Author.
Copyright is held by the owner/author(s).
CHI'17 Extended Abstracts, May 06-11, 2017, Denver, CO, USA
ACM 978-1-4503-4656-6/17/05.
http://dx.doi.org/10.1145/3027063.3053244
This document provides an overview of the Science Gateways Community Institute (SGCI) project. It summarizes the project's goals, activities, and outcomes over multiple phases from conceptualization to ongoing execution. Key aspects include establishing processes and gauging interest during the design phase, then scaling services and growing partnerships to cope with high demand during ongoing execution. Regular meetings and tools support agile management of the project. The SGCI helps science gateway stakeholders through expertise, software frameworks, and community building.
Many nonprofits and foundations have been using social network analysis (SNA) and organizational network analysis (ONA) techniques in program assessment, planning, and measurement. This webinar will review a number of techniques that are being used and the ways that the results of network analysis are informing and supporting the ways that nonprofits are leveraging networks to achieve greater good by creating, facilitating, and weaving networks.
This document outlines approaches for context-aware venue recommendation. It proposes applying machine learning techniques to classify contextual appropriateness of venues by leveraging user-generated data from location-based social networks. Deep learning algorithms are used to model user preferences and venue characteristics from explicit feedback like ratings and implicit feedback like check-ins and comments. Contextual and collaborative filtering approaches are developed using techniques like matrix factorization, word embeddings, and deep recurrent neural networks to make personalized venue recommendations while addressing data sparsity issues. Evaluation is done on real-world datasets involving ratings, reviews, and check-ins to validate the ability of the approaches to suggest interesting venues based on a user's preferences and surrounding context.
Evaluating research impact: From a specific case to general guidelines. Anne Bergen
This workshop presentation to the Canadian Knowledge Mobilization Forum (2016) provided an overview of research impact evaluation, from planning, to implementing, to understanding and using the results.
Skills & ideas for #ProblemGamblingKTE Anne Bergen
Skills & ideas for #ProblemGamblingKTE. (2104). Part of the "Moving Research Forward" Workshop Series for the Ontario Problem Gambling Research Centre.
Mobile Age: Open Data Mobile Apps to Support Independent LivingMobile Age Project
We present design insights for developing mobile services for senior citizens which have emerged through substantive engagement with end users and other stakeholders. We describe the aims of the Mobile Age project, and the ideas and rationale for applications that have emerged through a co-creation process. A trusted data platform is proposed along with apps that bring open data and mobile technology to work for an underserved population.
Christopher N. Bull
Will Simm
Bran Knowles
Oliver Bates
Nigel Davies
School of Computing and
Communications,
Lancaster University,
Lancaster, UK
c.bull@lancaster.ac.uk
branknowles9@gmail.com
w.simm@lancaster.ac.uk
o.bates@lancaster.ac.uk
n.a.davies@lancaster.ac.uk
Anindita Banerjee
Lucas Introna
Niall Hayes
Centre for the Study of Technology
and Organisation,
Lancaster University,
Lancaster, UK
a.banerjee2@lancaster.ac.uk
n.hayes@lancaster.ac.uk
l.introna@lancaster.ac.uk
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other
uses, contact the Owner/Author.
Copyright is held by the owner/author(s).
CHI'17 Extended Abstracts, May 06-11, 2017, Denver, CO, USA
ACM 978-1-4503-4656-6/17/05.
http://dx.doi.org/10.1145/3027063.3053244
This document provides an overview of the Science Gateways Community Institute (SGCI) project. It summarizes the project's goals, activities, and outcomes over multiple phases from conceptualization to ongoing execution. Key aspects include establishing processes and gauging interest during the design phase, then scaling services and growing partnerships to cope with high demand during ongoing execution. Regular meetings and tools support agile management of the project. The SGCI helps science gateway stakeholders through expertise, software frameworks, and community building.
This document describes the development and use of a stakeholder analysis tool created by the Victorian Department of Primary Industries. The tool was designed to help project teams systematically analyze the human and social capital resources needed to achieve project goals. It features a two-axis matrix to prioritize stakeholders by influence and importance. The tool was used and evaluated in case studies involving various government groups. Based on feedback, the tool was revised to better guide strategic stakeholder engagement and project planning. Conducting the analysis as a team was found to improve understanding of stakeholders and project direction.
The document describes several public engagement methods and tools for research projects, including:
1) The Intake transfers a CSO question into a research question to define the project, clarify objectives, and establish trust between partners.
2) Resource Flow Maps allow farmers to visualize and identify improvements to farming systems through drawing maps of resource flows using their own units of measurement.
3) Participatory Strategic Planning is a consensus-building process for communities to explain their goals and implementation plans for the next few years.
4) Community-Based Research involves communities in all stages of research to co-create new knowledge that can improve their situations.
Developmental Evaluation is an analytical approach that uses information collection, sense-making and evidence-based decision support to facilitate adaptive management of complex social programs and interventions. It is needed because development challenges are often "wicked problems" that are complex with unclear boundaries and unpredictable dynamics. Developmental Evaluation uses tools like Most Significant Change narratives, dashboards, and sentinel indicators to help platforms and partners continuously learn and adapt their approaches over time in response to changes in these complex systems. Good practices for Developmental Evaluation emphasize using multiple methods at different scales, facilitating intentional learning discussions, balancing rigor with useful information, and fostering partnerships focused on joint learning rather than transactional relationships.
Stakeholder Engagement Guide of Guides ACCESSIBLE2KBHN KT
Understanding and responding to stakeholder needs increases the likelihood that your research will be useful and used. This compilation of existing guides on stakeholder engagement (SE) begins with a table outlining the three main approaches to SE, followed by resources that provide more detail on how to conduct and evaluate different types of SE activities.
KM Chicago: Organisational Network AnalysisKM Chicago
The document discusses a presentation about organizational network analysis (ONA). It provides an overview of the key points:
1. ONA can be used to map informal networks, identify brokers and central people, and understand knowledge flows within organizations.
2. Conducting ONA involves developing a hypothesis, designing survey questions, distributing the survey, analyzing results, and identifying interventions based on findings.
3. An example ONA project with a Chinese organization is described to identify opportunities to improve knowledge sharing and organizational structure.
The resources included in this annotated compendium of knowledge translation (KT) planning guides can be used as the basis for creating a KT plan that has key components of a complete KT plan.
Keyword Based Service Recommendation system for Hotel System using Collaborat...IRJET Journal
This document presents a keyword-based service recommendation system using collaborative filtering to address challenges with traditional recommender systems when dealing with large datasets. The proposed system captures user preferences through keywords selected from a candidate list. It identifies similar users based on keyword similarities in preferences. It then calculates personalized ratings for services for a given user and generates a personalized recommendation list. The system aims to provide more accurate and scalable recommendations compared to existing approaches by incorporating keywords to represent user preferences.
This document discusses several customer use cases for Novell Teaming. It describes how Teaming helped various organizations improve collaboration, knowledge sharing, and project management by providing customizable workspaces, social tools, and robust workflows. Case studies include an energy company, city and county governments, and an IT solutions provider. All were able to leverage Teaming to better manage distributed teams and large amounts of information.
This is the first guide for researchers interested in creating infographics of their research findings. The main content of the guide is evidence-based, and is followed by links to examples of infographics and other information to illustrate the concepts presented. The appendices contain form-fillable worksheets intended to help ensure the user considers all important the design and development considerations, including a checklist to use to obtain feedback from intended target audience(s).
1. The document discusses how networks impact innovation and talent optimization within organizations. Informal networks are often underappreciated compared to formal structures.
2. Energy, fear, and trust within networks can significantly impact innovation and talent optimization. Highly energized networks tend to be more innovative and creative. Toxic interactions and relationships that induce fear can be detrimental. Different forms of trust around competence and benevolence are important for effective knowledge sharing.
3. Strategies are presented for organizations to better leverage their networks through various network analysis and mapping tools. This includes identifying energizers, reducing the impact of toxic ties, and signaling trust at both the individual and organizational levels.
Final communication and connectedness v3 Mia Horrigan
This document discusses effective communication strategies for business analysts. It emphasizes the importance of understanding stakeholders' social networks and communication preferences.
The key points are:
1) Conduct a social network analysis to map stakeholders' relationships and understand who influences whom. Identify central and peripheral figures.
2) Analyze stakeholders' communication styles, preferences for visual vs. auditory information, and preferred channels. Tailor your approach accordingly.
3) Use a variety of tools - from diagrams and prototypes to workshops and storyboards - to accommodate different learning styles and maximize understanding.
This document discusses essential elements for effective group activities and provides examples of team-building exercises. It outlines four fundamentals: purpose, planning, preparation, and processing. Planning considerations include group size, materials, space, time, and age-appropriateness. Preparation emphasizes clear instructions, repetition, participation, and time limits. Processing questions focus on initial reactions, skills, strengths/weaknesses, roles, and lessons learned. Twenty-five example activities are listed, ranging from "Pipeline" to "Popsicle Pyramid." Other ideas include simulations and community improvement plans. Contact information is provided to request a chapter with activity details.
Students participated in group activities including LEGO mindstorms competitions where they worked together to complete challenges such as crossing an imaginary river or building a collapsing tower out of LEGOs.
The document discusses the benefits of small group activities for personality development and learning. It argues that small group activities help promote experiential, hands-on learning centered around real-world problems. This results in increased motivation, making learning relevant, encouraging higher-order thinking, and improving employability. The document also stresses creating an environment where teachers guide student inquiry to facilitate deeper understanding.
Team building games,activities and ideasPrem Pradeep
This document provides descriptions of 30 team-building games, activities, and ideas. It includes details on the purpose, materials needed, instructions, and desired outcomes for each activity. Some of the activities aim to stimulate creative thinking, foster cooperation, build trust, and help teams overcome challenges. The activities range from short interactive games to longer projects and involve elements like problem-solving, role-playing work situations, learning about coworkers' lives, and doing volunteer work together. The overall goal is to strengthen relationships, communication, and collaboration within teams through fun and engaging exercises.
This document provides advice on personal development and growth. It contains messages like:
1) Don't compare yourself to others, be yourself. Life rewards happiness and helping others find happiness.
2) Everyone faces challenges, so accept pain as a part of growth and get ready for success. Have clear goals and don't complain about things you can't change.
3) Mistakes are part of learning, so view past errors as experience that leads to success. Problems can be solved, so remain hopeful and look for new opportunities when one closes.
Personality is defined as a relatively stable set of characteristics that influence behavior and interactions with others. It is determined by heredity, environment, situation, culture, and family background. Major theories of personality include trait theory, psychodynamic theory, humanistic theory, and the integrative approach. The Myers-Briggs Type Indicator assesses four traits to classify individuals into one of 16 personality types. The Big Five model describes five broad personality traits: extroversion, agreeableness, conscientiousness, emotional stability, and openness to experience. Trait theories posit that personality traits are stable over time and across situations and can be used to predict behavior.
Social Network Analysis & User InnovationsPaul Di Gangi
High-level introduction of social network analysis technique for a professional development workshop at Western Carolina University.
The purpose of this presentation was to introduce faculty to networks and social network analysis. A brief sample of research was also included to demonstrate key points.
This document describes the development and use of a stakeholder analysis tool created by the Victorian Department of Primary Industries. The tool was designed to help project teams systematically analyze the human and social capital resources needed to achieve project goals. It features a two-axis matrix to prioritize stakeholders by influence and importance. The tool was used and evaluated in case studies involving various government groups. Based on feedback, the tool was revised to better guide strategic stakeholder engagement and project planning. Conducting the analysis as a team was found to improve understanding of stakeholders and project direction.
The document describes several public engagement methods and tools for research projects, including:
1) The Intake transfers a CSO question into a research question to define the project, clarify objectives, and establish trust between partners.
2) Resource Flow Maps allow farmers to visualize and identify improvements to farming systems through drawing maps of resource flows using their own units of measurement.
3) Participatory Strategic Planning is a consensus-building process for communities to explain their goals and implementation plans for the next few years.
4) Community-Based Research involves communities in all stages of research to co-create new knowledge that can improve their situations.
Developmental Evaluation is an analytical approach that uses information collection, sense-making and evidence-based decision support to facilitate adaptive management of complex social programs and interventions. It is needed because development challenges are often "wicked problems" that are complex with unclear boundaries and unpredictable dynamics. Developmental Evaluation uses tools like Most Significant Change narratives, dashboards, and sentinel indicators to help platforms and partners continuously learn and adapt their approaches over time in response to changes in these complex systems. Good practices for Developmental Evaluation emphasize using multiple methods at different scales, facilitating intentional learning discussions, balancing rigor with useful information, and fostering partnerships focused on joint learning rather than transactional relationships.
Stakeholder Engagement Guide of Guides ACCESSIBLE2KBHN KT
Understanding and responding to stakeholder needs increases the likelihood that your research will be useful and used. This compilation of existing guides on stakeholder engagement (SE) begins with a table outlining the three main approaches to SE, followed by resources that provide more detail on how to conduct and evaluate different types of SE activities.
KM Chicago: Organisational Network AnalysisKM Chicago
The document discusses a presentation about organizational network analysis (ONA). It provides an overview of the key points:
1. ONA can be used to map informal networks, identify brokers and central people, and understand knowledge flows within organizations.
2. Conducting ONA involves developing a hypothesis, designing survey questions, distributing the survey, analyzing results, and identifying interventions based on findings.
3. An example ONA project with a Chinese organization is described to identify opportunities to improve knowledge sharing and organizational structure.
The resources included in this annotated compendium of knowledge translation (KT) planning guides can be used as the basis for creating a KT plan that has key components of a complete KT plan.
Keyword Based Service Recommendation system for Hotel System using Collaborat...IRJET Journal
This document presents a keyword-based service recommendation system using collaborative filtering to address challenges with traditional recommender systems when dealing with large datasets. The proposed system captures user preferences through keywords selected from a candidate list. It identifies similar users based on keyword similarities in preferences. It then calculates personalized ratings for services for a given user and generates a personalized recommendation list. The system aims to provide more accurate and scalable recommendations compared to existing approaches by incorporating keywords to represent user preferences.
This document discusses several customer use cases for Novell Teaming. It describes how Teaming helped various organizations improve collaboration, knowledge sharing, and project management by providing customizable workspaces, social tools, and robust workflows. Case studies include an energy company, city and county governments, and an IT solutions provider. All were able to leverage Teaming to better manage distributed teams and large amounts of information.
This is the first guide for researchers interested in creating infographics of their research findings. The main content of the guide is evidence-based, and is followed by links to examples of infographics and other information to illustrate the concepts presented. The appendices contain form-fillable worksheets intended to help ensure the user considers all important the design and development considerations, including a checklist to use to obtain feedback from intended target audience(s).
1. The document discusses how networks impact innovation and talent optimization within organizations. Informal networks are often underappreciated compared to formal structures.
2. Energy, fear, and trust within networks can significantly impact innovation and talent optimization. Highly energized networks tend to be more innovative and creative. Toxic interactions and relationships that induce fear can be detrimental. Different forms of trust around competence and benevolence are important for effective knowledge sharing.
3. Strategies are presented for organizations to better leverage their networks through various network analysis and mapping tools. This includes identifying energizers, reducing the impact of toxic ties, and signaling trust at both the individual and organizational levels.
Final communication and connectedness v3 Mia Horrigan
This document discusses effective communication strategies for business analysts. It emphasizes the importance of understanding stakeholders' social networks and communication preferences.
The key points are:
1) Conduct a social network analysis to map stakeholders' relationships and understand who influences whom. Identify central and peripheral figures.
2) Analyze stakeholders' communication styles, preferences for visual vs. auditory information, and preferred channels. Tailor your approach accordingly.
3) Use a variety of tools - from diagrams and prototypes to workshops and storyboards - to accommodate different learning styles and maximize understanding.
This document discusses essential elements for effective group activities and provides examples of team-building exercises. It outlines four fundamentals: purpose, planning, preparation, and processing. Planning considerations include group size, materials, space, time, and age-appropriateness. Preparation emphasizes clear instructions, repetition, participation, and time limits. Processing questions focus on initial reactions, skills, strengths/weaknesses, roles, and lessons learned. Twenty-five example activities are listed, ranging from "Pipeline" to "Popsicle Pyramid." Other ideas include simulations and community improvement plans. Contact information is provided to request a chapter with activity details.
Students participated in group activities including LEGO mindstorms competitions where they worked together to complete challenges such as crossing an imaginary river or building a collapsing tower out of LEGOs.
The document discusses the benefits of small group activities for personality development and learning. It argues that small group activities help promote experiential, hands-on learning centered around real-world problems. This results in increased motivation, making learning relevant, encouraging higher-order thinking, and improving employability. The document also stresses creating an environment where teachers guide student inquiry to facilitate deeper understanding.
Team building games,activities and ideasPrem Pradeep
This document provides descriptions of 30 team-building games, activities, and ideas. It includes details on the purpose, materials needed, instructions, and desired outcomes for each activity. Some of the activities aim to stimulate creative thinking, foster cooperation, build trust, and help teams overcome challenges. The activities range from short interactive games to longer projects and involve elements like problem-solving, role-playing work situations, learning about coworkers' lives, and doing volunteer work together. The overall goal is to strengthen relationships, communication, and collaboration within teams through fun and engaging exercises.
This document provides advice on personal development and growth. It contains messages like:
1) Don't compare yourself to others, be yourself. Life rewards happiness and helping others find happiness.
2) Everyone faces challenges, so accept pain as a part of growth and get ready for success. Have clear goals and don't complain about things you can't change.
3) Mistakes are part of learning, so view past errors as experience that leads to success. Problems can be solved, so remain hopeful and look for new opportunities when one closes.
Personality is defined as a relatively stable set of characteristics that influence behavior and interactions with others. It is determined by heredity, environment, situation, culture, and family background. Major theories of personality include trait theory, psychodynamic theory, humanistic theory, and the integrative approach. The Myers-Briggs Type Indicator assesses four traits to classify individuals into one of 16 personality types. The Big Five model describes five broad personality traits: extroversion, agreeableness, conscientiousness, emotional stability, and openness to experience. Trait theories posit that personality traits are stable over time and across situations and can be used to predict behavior.
Social Network Analysis & User InnovationsPaul Di Gangi
High-level introduction of social network analysis technique for a professional development workshop at Western Carolina University.
The purpose of this presentation was to introduce faculty to networks and social network analysis. A brief sample of research was also included to demonstrate key points.
This is the presentation of the Juan Cruz-Benito’s PhD “On data-driven systems analyzing, supporting and enhancing users’ interaction and experience” that was defended on September 3rd, 2018 in the Faculty of Sciences at University of Salamanca Spain. This PhD was graded with the maximum qualification “Sobresaliente Cum Laude”.
Cross discipline collaboration benefits from group think, a consolidation of soft system methodology and user focused design that all starts with design thinking that sees clients, designers, developers and information architects working together to address user problems and needs. As with any great adventure, design thinking starts with exploration and discovery.This presentation examines the high level tenants of system thinking, expands the scope of user thinking to include tools and devices that users employ to find out designs and delve into the specifics of design thinking, its methods and outcomes.
ICIS Rating Scales for Collective IntelligenceIcis idea rating-v1.0-finalriedlc
The document presents research on rating scales for collective intelligence in innovation communities. It discusses how organizations face challenges in selecting the best ideas from large pools of information. The research aims to determine which rating mechanisms perform best for idea selection by examining the effects of rating scale granularity on rating accuracy and user satisfaction. An experiment compares a promote/demote scale, 5-star scale, and complex scale in their ability to correctly rate ideas. Results find the complex scale leads to higher rating accuracy and user satisfaction than simpler scales. The findings have implications for designing effective rating systems and extending theories of collective intelligence and creativity.
The document summarizes the staff, doctoral students, resources, and laboratories of the HCI Group at Tallinn University. It lists the researchers, professors, and analysts that make up the staff. It also lists the doctoral students that have been or are currently affiliated with the group. Finally, it describes two laboratories managed by the group - the Interaction Design Laboratory and the User Experience Laboratory, including their purposes and example projects.
This document describes the development and use of a stakeholder analysis tool created by the Victorian Department of Primary Industries. The tool was designed to help project teams systematically analyze the human and social capital resources needed to achieve project goals. It features a two-axis matrix to prioritize stakeholders by influence and importance. The tool was used and evaluated in case studies involving various government groups. Based on feedback, the tool was revised to better guide strategic stakeholder engagement and project planning. Conducting the analysis as a team was found to improve understanding of stakeholders and project direction.
These are detailed notes from the visit at the Copenhagen's Danish Design Centre, which had on display a very informative exhibition on a model for a design-driven innovation, developed by the Danish Design Centre.
Design-driven Innovation (DIN) is a tool for developing better responses to complex challenges while ensuring implementation through a design-driven approach.
I was interested in the potential of this model for designing public communication.
The credit for all the information in this document goes to Danish Design Centre.
Brief description of ONA (Organizational network analysis) followed by a summary and comparison of the emerging SAAS vendors who provide support for network surveys and analysis.
PhD proposal: Specialized heuristics for crowdsourcing website designdonellemckinley
The document discusses research on developing heuristics to support the design and evaluation of GLAM and academic crowdsourcing websites. It aims to address the lack of empirically-based guidance for these projects. The research will use Action Design Research methodology to iteratively develop a set of specialized heuristics. These heuristics will provide a tool to help meet project objectives of sufficient participation and high-quality contributions. The heuristics will also support crowdsourcing website design and evaluation practice.
JISC RSC London Workshop - Learner analyticsJames Ballard
Introduction to learning analytics and approaches to learner engagement to raise awareness and set the seen for upcoming projects and advice for supported learning providers.
An institutional perspective on analytics that focusses on a particular tool developed using an agile methodology to visualise learner behaviours in MOOCs via Sankey diagrams.
The document outlines the distributed science value proposition, which includes better science through improved reproducibility, cheaper research through increased return on investment, and faster medical breakthroughs by reducing administrative delays. It notes current issues like a lack of reproducibility in 20% of U.S. health research and the high costs of non-replicable studies. Blockchain and related technologies could help address these problems by enabling greater transparency, standardization, and data sharing to improve research quality while reducing costs and speeding up the research process.
The document presents a proposed approach for sentiment analysis on big social data using Spark. It discusses collecting opinions from social media to analyze large events by tracking public behavior in real-time. The proposed system provides a adaptable sentiment analysis approach using Spark that analyzes social media posts and classifies them by subject in real-time. It also discusses using sentiment data from social media to inform decisions.
Transdisciplinary Research: A short introductiontyndallcentreuea
This document provides an introduction to transdisciplinary research from the Network for Transdisciplinary Research (td-net). It defines transdisciplinary research as aiming to solve societal problems through close interaction with stakeholders. The research process links scientific knowledge production with societal problem solving through co-production of knowledge. Principles of transdisciplinary research include grasping complexity, considering diverse perspectives, linking different types of knowledge, and promoting the common good. Stakeholder participation and collaboration across disciplines are key to applying these principles.
1. The document discusses food practices as situated action, exploring everyday food practices of households through interviews and shop-alongs.
2. It identifies several patterns of situated food practices, such as implicit planning and stocking up on food. These practices are influenced by various household and social factors.
3. The outcomes suggest opportunities for design solutions to help people address food-related challenges and misconceptions. The study demonstrates how understanding everyday practices can inform the design of technologies.
DCLA meet CIDA: Collective Intelligence Deliberation Analytics Simon Buckingham Shum
DCLA14: 2nd International Workshop on Discourse-Centric Learning Analyticsat LAK14: http://dcla14.wordpress.com
Abstract: This discussion paper builds a bridge between Discourse-Centric Learning Analytics (DCLA), whose focus tends to be on student discourse in formal educational contexts, and research and practice in Collective Intelligence Deliberation Analytics (CIDA), which seeks to scaffold quality deliberation in teams/collectives devising solutions to complex problems. CIDA research aims to equip networked communities with deliberation platforms capable of hosting large scale, reflective conversations, and actively feeding back to participants and moderators the ‘vital signs’ of the community and the state of its deliberations. CIDA tends to focus not on formal educational communities, although many would consider themselves learning communities in the broader sense, as they recognize the need to pool collective intelligence in order to understand, and co-evolve solutions to, complex dilemmas. We propose that the context and rationale behind CIDA efforts, and emerging CIDA implementations, contribute a research and technology stream to the DCLA community. The argument is twofold: (i) The context of CIDA work connects with the growing recognition in educational thinking that students from school age upwards should be given the opportunities to engage in authentic learning challenges, wrestling with problems and engaging in practices increasingly close to the complexity they will confront when they graduate. (ii) In the contexts of both DCLA and CIDA, different kinds of users need feedback on the state of the debate, and the quality of the conversation: the students and educators served by DCLA are mirrored by the citizens and facilitators served by CIDA. In principle, therefore, a fruitful dialogue could unfold between DCLA/CIDA researchers and practitioners, in order to better understand common and distinctive requirements.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
1. Shared Rationales in Group Activities
1
Lu Xiao
Faculty of Information & Media Studies
Department of Computer Science
T h e U n i v e r s i t y o f We s t e r n O n t a r i o
Http://hii.fims.uwo.ca
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2. Shared Rationales in Group Activities
2
Rationale - the information that justifies one’s ideas, approach, and solution in
group activities.
Related Studies:
Explanations in Knowledge-based Systems (KBS)
Types of explanations, Content of explanations, Effects of KBS Explanations (explanation
use behavior, learning, perceptions, and judgmental decision making)
Shared Information in Group Activities
— How and why group members share information
— The factors of information sharing, information pooling phenomenon
— The information practices and cultures that members develop
— The effects of shared information and aspects of the shared information (e.g.,
representation strategy, the use of language)
¡ Influence the change of people’s attitudes
¡ Shared reflections
Tools to support information sharing in group activities
— Group decision support systems for hidden profiles
— Tools for capturing, archiving, and reusing design rationales
— Tools to foster reflective thinking in group learning activities
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3. Research Gaps
3
1). the effects of shared rationales in group activities
2). Design requirements to promote the processes of
articulating, sharing, and managing rationales in
group activities
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4. The Role of Shared Rationales in Group Ideation
and Deliberation Activities
4
The effects of rationale awareness in
— small group ideation activities
— Large online crowdsourcing ideation activities
The effects of shared rationales in
— Large online deliberation activities
Rationale Awareness, as part of Activity Awareness (Carroll et al., 2003, 2005, 2011; Carroll, Rosson, Farooq, & Xiao,
2009), refers to one’s awareness of the other group members’ rationales in a group activity
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5. The Effects of Rationale Awareness in Small
Group Ideation Activities
5
The effects of rationale sharing (Xiao, 2011a, 2012; Xiao &
Carroll, 2013)
• Rationale awareness can contribute to one’s
• awareness of others’ knowledge and intellectual
contribution; can affect the development of his/her
reflection skills
• Explicit rationale sharing has potential downsides such as
groupthink
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6. The Effects of Shared Rationales in Online
Crowdsourcing Ideation Activities
6
Related Work:
— Quality measure of different means
¡ Providing
real-time assessment
¡ Collecting multiple assessment
¡ Analyzing workers’ behavior
¡ Parallel vs. iterative approach
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7. The Effects of Shared Rationales in Large Online
Ideation Activities
7
In an ideation task performed through online
crowdsourcing processes, whether and how sharing
previous workers’ good rationales of their generated
ideas affects the ideas’ quality in the task?
Pros: awareness of the others’ knowledge and intellectual
contributions
Cons: problems with explicit rationale sharing
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8. Research Design
In an idea evaluation task performed through online
crowdsourcing processes, whether and how showing the
idea’s rationale affect its evaluation?
Hypothesis:
Making the ideas’ rationales available to all of its
evaluators reduce the variation between evaluations by
multiple raters
9. Research Design
— Two iterative conditions in the idea generation task:
presence vs. absence of previous workers’ rationales
— Two idea evaluation conditions in the idea evaluation task:
presence vs. absence of the idea’s rationale
— Manipulation of the rationale’s quality: Experiment 1,
Experiment 2, and Experiment 3
¡
¡
The quality of the ideas and rationales was checked after all the
iterations were completed (Experiment 1)
The quality of the ideas and rationales was checked at the end of each
iteration (Experiment 2 and 3) – stricter and better quality control
of ideas and rationales
10. Research Design (Little et al.,2010)
Brainstorming/Idea
Generation Task
• Six company descriptions
• Five names for a company description
in each iteration
• Six iterations for each company
Rating/Idea
Evaluation Task
Each name had 10 ratings
11. Turkit
• Open source software: Java/JavaScript API for
running iterative tasks on Mechanical Turk.
16. Findings: the Shared Rationales in Online
Crowdsourcing Ideation Task
— In an idea generation task, the awareness of previous
workers’ rationales may slightly improve the average
quality but NOT the best quality of the generated ideas
in iterative approach
— In an idea evaluation task, the awareness of an idea’s
rationale can affect the evaluation outcome and the
quality of the rationale may play a significant role on
the evaluation
(Xiao, CSCW, 2012; Xiao, CI, 2012; Xiao, JASIST, to appear)
17. The Role of Shared Rationales in Group Ideation
and Deliberation Activities
17
The effects of rationale awareness in
— small group ideation activities
— Large online crowdsourcing ideation activities
The effects of shared rationales in
— Large online deliberation activities
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18. Shared Rationales in Large Online Deliberation
18
— Deliberation concept
¡ Habermas (1989) – public sphere
¡ Halpen and Gibbs (2013)
a communication process that involves at least two individuals;
that focuses on a social or political issue where the solutions
are identifiable by participants; and that values equality among
participation and emphasizes rational thinking and logic
instead of a power struggle.
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19. Shared Rationales in Large Online Deliberation
19
Wikipedia’s Article for Deletion (AfD) discussions
Step 1 : Types of rationales; factors of deliberation outcome
What are the types of rationales used in the deliberation?
Are there any relationships among the kinds of votes, the
article’s topic, the discussion situation (unanimous or
non-unanimous), and the final decision?
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20. Possible outcomes of deletion discussions
Outcome
Keep
Withdrawn
No consensus
Procedural close
Delete
Speedy delete
Userfy
Incubate
Merge
Rename or Move
Convert
Transwiki
Redirect
Split
Coded
as…
Explanation
Article is kept. Changes may or may not be suggested as part of debate.
Keep
20
Nomination is withdrawn.
Debate is inconclusive. This might result from disagreement, lack of
participation, or other factors. Article defaults to keep.
Debate is closed because of problems with the nomination.
Article is deleted.
Delete
Article is deleted under the “speedy” criteria outlined at WP:CSD.
Article is deleted but a copy is given to a user to work on as a draft, and may Other
be recreated as an article later.
As with userfy, but in a communal space rather than related to a single user.
Article is deleted but some or all of its content is added into one or more
existing articles.
Article’s title is changed. Its scope may or may not be amended.
Article is converted into another type of page, usually one with a structural
function. For example, a list might be changed into a category to be added to
the list entries.
Article is deleted from English Wikipedia but moved to another Wikimedia
project as appropriate – for example, a French article to French Wikipedia
or an image gallery to Wikimedia Commons.
Article’s content is replaced with a pointer to another page.
Article is divided into one or more new pages, or part of the article is moved
to another page.
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21. Research Methodology
— Qualitative Analysis
¡ Open coding process to classify rationales used in deletion
debates on three selected dates
— Quantitative Analysis
¡ Chi Square Tests
¡ Relationships among articles’ topics and deliberation
outcomes, discussion situations
¡ Relationship between the SOPA act event and the deliberation
outcome
SOPA (Stop Online Piracy Act) act event: On January 18, 2012, the English
Wikipedia, Google, and an estimate of 7,000 other smaller websites coordinated a
service blackout, to raise awareness.
22. Sample
— Date selection for qualitative analysis
Day
# of
articles
1 Jun. 2010
89
1 Jun. 2011
73
15 Jan. 2012
67
Total
votes
for
“keep”
127
Total
votes for
“delete”
280
Total
“other” votes
(merge,
userfy, etc)
37
119
212
23
109
200
63
— Date selection for quantitative analysis
¡ Previous sample
¡ 20 dates for chi-square tests that require larger sample size (a priori power
analysis)
÷
÷
Before the SOPA act event: Jan. 1 - 10, 2012 and Nov. 1 - 10, 2011 (N = 1453)
After the SOPA act event: Jan. 20 - 29, 2012 and March 20- 29, 2012 (N = 1202)
23. Findings - Types of rationales; factors of
deliberation outcome
23
— Rationales are mainly about the articles’ notability (50%)
and credibility (12%); Wikipedia policies are often
referred to as well (10%)
— Relationship between the deliberation outcome
÷ and
the type of votes: in the case that the decision is delete, there
tend to have more delete votes than keep votes, whereas in the case
that the decision is keep, the delete votes are not more than keep
votes; the votes other than keep and delete significantly affect those
decisions that would change the articles’ status.
÷ and the topic of article : articles about people, for-profit
organizations, and definitions are slightly more likely to be deleted
than expected; articles about locations or events are more likely to be
kept than expected; and articles about non-profit organizations and
media are more likely to be suggested for other options (e.g., merge,
redirect, etc) than expected
(Xiao & Askin, JASIST, to appear)
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24. Findings - Types of rationales; factors of
deliberation outcome
24
— Relationship between the discussion situation
¡ and the type of rationale: more agrees in non-unanimous
situations
¡ and the deliberation outcome: in non-unanimous
situations, it is more likely to have final decisions as keep or
other solutions (e.g., merge, redirect, etc)
¡ and the community participation:
÷ more
unique Wikipedia IDs in non-unanimous discussions
÷ More participants in a non-unanimous discussion; the most
involved participant was more likely to be recognized in the
discussion
(Xiao & Askin, JASIST, to appear)
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25. Findings – the Impact of SOPA blackout event on
the Deliberation
25
Before the blackout of the site in response to the proposed
Stop Online Piracy Act (SOPA) law, there were slightly less
keep cases than expected and after the event there were
slightly more keep cases than expected.
The effect was more significant on the decisions which
would change the articles’ status. These articles were more
likely to be deleted before the Act, whereas after that Act
(or during the discussions about it) they were more likely
to be offered suggestions for other options
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26. Shared Rationales in Large Online Deliberation
26
Wikipedia’s Article for Deletion (AfD) discussions
Step 1 : Types of rationales; factors of deliberation outcome
Step 2: Computational linguistic approaches to extract the rationales
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27. Rationale Extractions for Knowledge Management
27
— Motivation – to benefit new editors
— Approach - extraction of rationales that reflect the
needed knowledge on Wikipedia policies in AfD
discussions
— Technique –Illocutionary Act (Searle, 1976)
¡ Representatives
¡ Directives
¡ Commissives
¡ Expressives
¡ Declarations
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29. Detect Imperatives
29
1. A verb (in its base form) as the root in the phrase structure and this
particular verb has no subject child in the dependency structure.
(ROOT (S (INTJ (VB please)) (VP (VB refrain) (PP (IN from) (S (VP (VBG making)
(NP (JJ personal) (NNS attacks)))))) (. .)))
2. A personal pronoun or noun (e.g., you,
they, username) followed by a modal verb
(e.g., should, must)
"You must discuss the matter there, and you need
to be specific”
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30. Rationale Extractions for Decision-Making Support
30
— Motivation – to facilitate efficient final decisionmaking
— Approach – elimination of redundancy by identifying
representative rationales in the discussion
— Technique – text similarity and sentiment analysis
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31. Rationale Extractions for Decision-Making Support
Discussion
group similar rationales
classify by sentiment
polarity
Group A
positive
neutral
Group B
negative
positive
neutral
Select representative rationales –
similarity score, number of users,
policies
negative
32. Text Similarity
• SEMILAR, a semantic similarity toolkit, was used to
compute text similarity
— Compared the performance of similarity measure
among algorithms and human evaluation:
Weighted Latent Semantic Analysis (LSA)
¡ Latent Dirichlet Allocation (LDA)
¡
33. Sentiment Analysis
— Determine the sentiment polarity of a rationale in
our language context (“notable”)
¡ MPQA Subjectivity Lexicon + additional words
Data Input
Stanford
Parser
Part-of-speech
tagged text
Dependency
relations
Check modified
MPQA subjectivity
lexicon to obtain
the prior polarity
(if not in MPQA,
marked as ‘nonsentiment’)
MPQA format:
type=strongsubj len=1 word1=aberration pos1=adj stemmed1=n priorpolarity=negative
34. Sentiment Analysis
• Local negation: A not usually modifies the sentiment
word.
–
“The place is not notable.”
• Predicate negation: using verbs with negative
polarity.
–
“I disagree that the place is notable.”
• Subject negation: a subject leads to the negation of
its predicate.
–
“Neither one of us agrees that the place is notable.”
35. Sentiment Analysis
— Preposition negation: the polarity of the object
following the preposition “of” can be changed by the
word modified by the preposition.
¡
“It
is
a
viola&on
of
notability.”
— Modifier negation: some sentiment word’s polarity
can be negated by its modifier.
¡
“The
place
is
of
indeterminable
notability.”
36. Sentiment Analysis
• Modifier negation
– Phrase in the following combination:
Noun modified by adjective
Noun modified by noun
Adjective modified by adverb
Adverb modified by adverb
Verb modified by verb
37. Sentiment Analysis
— Using machine learning methods to determine the
polarity of a phrase that has a modifier and a word
–
Features:
•
•
•
•
•
•
l
First word token
Second word token
First word polarity
Second word polarity
First word part-of-speech
Second word part-of-speech
Performance of Naïve Bayes, k-nearest neighbor (KNN) and
decision tree:
÷ Data:
961 instances (phrases)
÷ Evaluation:10 folds cross validation
Naïve Bayes
Accuracy (%)
K-nearest neighbor
Decision Tree
77.94
83.77
80.65
40. The Role of Shared Rationales in Group Ideation
and Deliberation Activities
40
The effects of rationale awareness in
— small group ideation activities
— Large online crowdsourcing ideation activities
The effects of shared rationales in
— Large online deliberation activities
Current research plan
To automatic detect rationales from online ideation activities and deliberation activities
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41. Current Research Plan
Rhetorical Structure Theory has been recently used to identify justifications in the
social Web (Biran, and Rambow, 2011), where the existence of certain discourse
structures has been considered argument indicators.
Justification is defined as:
1.
2.
3.
4.
5.
Recommendation for action, and motivation for proposed action.
Statement of like or dislike or of desires and longing, and subjective reason for this like
or dislike or desire or longing
Statement of like or dislike or of desires and longing, and claimed objective reason for
this like or dislike or desire or longing
Statement of subjectively perceived fact, with a proposed objective explanation
A claimed general objective statement and a more specific objective statement that
justifies the more general one
Presentational relations from RST Treebank were primarily considered
42. The Effects of Rationale Awareness in Small
Group Ideation Activities
42
Discourse relations in shared rationales in the small group
ideation activities (Xiao, 2013):
Most used strategies in justifying one’s ideas in the
activities were: providing contextual information
(circumstance), additional information
(elaboration), and evaluation of the information
(evaluation)
We are extending Biran and Rambow’s (2011) approach by conducting further
analysis on these discourse relations and their potential connections to different
types of reasoning.
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