Presentation of paper titled "Self-organization in online collaborative work settings", published by the SAGE/ACM Collective Intelligence journal, 2022. Link to publication: https://journals.sagepub.com/doi/pdf/10.1177/26339137221078005
This document discusses knowledge modelling techniques for traffic systems. It presents CommonKADS as a knowledge modelling methodology that can model the organizational structure, tasks, communications and knowledge of a system. It then discusses how CommonKADS has been applied to model knowledge in generic traffic systems and how MAS-CommonKADS extends it for multi-agent systems. Finally, it proposes using CommonKADS to model the identification and formation phases of dynamic virtual organizations for traffic control.
Social media community using optimized algorithm by M. Gomathi / Lecturergomathi chlm
This document proposes using a clustering algorithm to detect communities in large social media networks. It discusses:
1) Existing community detection algorithms that struggle with social media networks due to their large size and high clustering.
2) A proposed system using K-means clustering and a genetic algorithm to cluster social media data and identify groups of users based on their activities.
3) The advantages of the proposed system in categorizing groups of people, identifying discussion groups, and targeting audiences.
Simulation-Based Modeling and Evaluation of Incentive Schemes in Crowdsourcin...Ognjen Scekic
Conventional incentive mechanisms were designed for business environments
involving static business processes and a limited number of actors. They
are not easily applicable to crowdsourcing and other social computing platforms,
characterized by dynamic collaboration patterns and high numbers of actors, because
the effects of incentives in these environments are often unforeseen and
more costly than in a well-controlled environment of a traditional company.
In this paper we investigate how to design and calibrate incentive schemes for
crowdsourcing processes by simulating joint effects of a combination of different
participation and incentive mechanisms applied to a working crowd. More
specifically, we present a simulation model of incentive schemes and evaluate it
on a relevant real-world scenario. We show how the model is used to simulate
different compositions of incentive mechanisms and model parameters, and how
these choices influence the costs on the system provider side and the number of
malicious workers.
The document discusses activating online collaborative communities by supporting goal-oriented communication processes. It presents a case study of a digital tutorial community and lessons learned. A conceptual model is proposed that represents online communities as socio-technical systems consisting of a tool system, usage context, and collaboration patterns. Collaboration patterns capture stable solutions to recurring problems and include goal, communication, information, task, and meta patterns.
The document discusses an enterprise collaboration platform that provides features for talent management, social networking, performance management, and other HR and business functions. It describes how the platform facilitates collaboration, knowledge sharing, and management of tasks, projects, and people across an organization. Benefits include improved engagement, productivity, planning, and management of talent. The platform collects all employee and organization data in one central location for reporting and analysis.
CORE: Cognitive Organization for Requirements ElicitationScott M. Confer
The document describes the CORE methodology for requirements elicitation. CORE integrates conceptual graphing and soft systems inquiry frameworks. It is a 7-step process that includes: 1) defining an unstructured situation, 2) creating a rich picture, 3) writing root definitions of relevant systems, 4) creating conceptual graphs, 5) iterating graphs to develop preliminary requirements, 6) reaching team agreement on requirements, and 7) translating requirements to information architecture. The methodology provides structure for clarifying vague requirements through a collaborative process focused on user goals.
WMJ&GMBwosc08-Effective Learning & Production Via ModellingGary Boyd
The document discusses techniques for effective learning and application development through formal modeling and conversations. It describes a course design approach using three types of learning conversations: Why, What, and How. These conversations help establish aspirations, expectations, anxieties and the order and process for collaboratively learning systems modeling techniques and tools. The document outlines an initial modeling process involving identifying the focal system and mapping relationships between context systems and the focal system. It also provides examples of modeling questions and representing the models using formal notations like directed graphs and Context+ maps. Challenges encountered and basic evaluation questions are discussed.
This document discusses knowledge modelling techniques for traffic systems. It presents CommonKADS as a knowledge modelling methodology that can model the organizational structure, tasks, communications and knowledge of a system. It then discusses how CommonKADS has been applied to model knowledge in generic traffic systems and how MAS-CommonKADS extends it for multi-agent systems. Finally, it proposes using CommonKADS to model the identification and formation phases of dynamic virtual organizations for traffic control.
Social media community using optimized algorithm by M. Gomathi / Lecturergomathi chlm
This document proposes using a clustering algorithm to detect communities in large social media networks. It discusses:
1) Existing community detection algorithms that struggle with social media networks due to their large size and high clustering.
2) A proposed system using K-means clustering and a genetic algorithm to cluster social media data and identify groups of users based on their activities.
3) The advantages of the proposed system in categorizing groups of people, identifying discussion groups, and targeting audiences.
Simulation-Based Modeling and Evaluation of Incentive Schemes in Crowdsourcin...Ognjen Scekic
Conventional incentive mechanisms were designed for business environments
involving static business processes and a limited number of actors. They
are not easily applicable to crowdsourcing and other social computing platforms,
characterized by dynamic collaboration patterns and high numbers of actors, because
the effects of incentives in these environments are often unforeseen and
more costly than in a well-controlled environment of a traditional company.
In this paper we investigate how to design and calibrate incentive schemes for
crowdsourcing processes by simulating joint effects of a combination of different
participation and incentive mechanisms applied to a working crowd. More
specifically, we present a simulation model of incentive schemes and evaluate it
on a relevant real-world scenario. We show how the model is used to simulate
different compositions of incentive mechanisms and model parameters, and how
these choices influence the costs on the system provider side and the number of
malicious workers.
The document discusses activating online collaborative communities by supporting goal-oriented communication processes. It presents a case study of a digital tutorial community and lessons learned. A conceptual model is proposed that represents online communities as socio-technical systems consisting of a tool system, usage context, and collaboration patterns. Collaboration patterns capture stable solutions to recurring problems and include goal, communication, information, task, and meta patterns.
The document discusses an enterprise collaboration platform that provides features for talent management, social networking, performance management, and other HR and business functions. It describes how the platform facilitates collaboration, knowledge sharing, and management of tasks, projects, and people across an organization. Benefits include improved engagement, productivity, planning, and management of talent. The platform collects all employee and organization data in one central location for reporting and analysis.
CORE: Cognitive Organization for Requirements ElicitationScott M. Confer
The document describes the CORE methodology for requirements elicitation. CORE integrates conceptual graphing and soft systems inquiry frameworks. It is a 7-step process that includes: 1) defining an unstructured situation, 2) creating a rich picture, 3) writing root definitions of relevant systems, 4) creating conceptual graphs, 5) iterating graphs to develop preliminary requirements, 6) reaching team agreement on requirements, and 7) translating requirements to information architecture. The methodology provides structure for clarifying vague requirements through a collaborative process focused on user goals.
WMJ&GMBwosc08-Effective Learning & Production Via ModellingGary Boyd
The document discusses techniques for effective learning and application development through formal modeling and conversations. It describes a course design approach using three types of learning conversations: Why, What, and How. These conversations help establish aspirations, expectations, anxieties and the order and process for collaboratively learning systems modeling techniques and tools. The document outlines an initial modeling process involving identifying the focal system and mapping relationships between context systems and the focal system. It also provides examples of modeling questions and representing the models using formal notations like directed graphs and Context+ maps. Challenges encountered and basic evaluation questions are discussed.
An Integrated E-Recruitment System For Automated Personality Mining And Appli...Fiona Phillips
The document summarizes a research paper that presents an integrated e-recruitment system for automated personality mining and applicant ranking. The proposed system implements automated candidate ranking based on criteria extracted from applicants' LinkedIn profiles, including education, work experience, loyalty, and personality traits mined from blog text using linguistic analysis. The system was tested in a real-world recruitment scenario, where it effectively discriminated top candidates and provided rankings consistent with expert recruiters. The system aimed to increase recruitment efficiency by automating initial screening and limiting interviews to top candidates.
Net challenge training_material_bc_management_v010netchallenge
This presentation provides an overview of the Net-Challenge methodology for training facilitators and members of business communities. It discusses key topics including background on collaborative business networks, the Net-Challenge methodology, base concepts around network typology and collaboration modes, and the Net-Challenge Business Community Management approach. The goal is to support knowledge sharing and consolidation among participants.
This document describes a new approach to machine learning that harnesses the wisdom of crowds to develop predictive models of behavioral outcomes. The approach uses a web platform where users answer questions to predict an outcome (like electricity usage or BMI) and also generate new questions. As more users contribute data by answering questions, models are developed that can better predict outcomes based on the question responses. Two experiments accurately predicted monthly electricity usage and BMI based on models developed from questions crowdsourced by users. This novel approach may lead to new insights into causal factors of behaviors.
The document describes a student attendance tracking system called "Parents Connect". It allows staff to record student attendance daily and generates reports on weekly and monthly attendance. It aims to reduce paperwork and save time by automating attendance tracking and report generation. Key features include attendance tracking, report generation, and a portal for parents to monitor their child's attendance.
This document discusses how open networked organizations can generate knowledge and business value through facilitating interactions and networks. It provides examples of how various organizations have increased productivity, profitability, and effectiveness by applying principles of open networking and knowledge sharing. The document also outlines tools and strategies for mapping organizational networks and stakeholder relationships to address business challenges in a collaborative way.
The Pragmatic Evaluation of Tool System InteroperabilityCommunitySense
A. de Moor (2007). The Pragmatic Evaluation of Tool System Interoperability (invited paper). In Proc. of the 2nd ICCS Conceptual Structures Tool Interoperability Workshop (CS-TIW 2007), Sheffield, UK, July 22, 2007. Research Press International, Bristol, UK, pp.1-19.
Mapping Knowledge Activities with System Operations to Foster Information Sys...ARISTOTELE
The document summarizes a study that analyzed work processes from two European organizations to map how system operations relate to knowledge activities. The study found that selection, acquisition, and generation activities accounted for the majority (82%) of coded knowledge activities. While the study provided insights, its results have limitations due to the small sample size and scope. Overall, the document concludes that mapping system operations to knowledge activities is feasible and could help improve performance by recognizing patterns in tasks and activities.
Validity of a graph-based automatic assessment system for programming assign...IJECEIAES
Programming is a very complex and challenging subject to teach and learn. A strategy guaranteed to deliver proven results has been intensive and continual training. However, this strategy holds an extra workload for the teachers with huge numbers of programming assignments to evaluate in a fair and timely manner. Furthermore, under the current coronavirus (COVID-19) distance teaching circumstances, regular assessment is a fundamental feedback mechanism. It ensures that students engage in learning as well as determines the extent to which they reached the expected learning goals, in this new learning reality. In sum, automating the assessment process will be particularly appreciated by the instructors and highly beneficial to the students. The purpose of this paper is to investigate the feasibility of automatic assessment in the context of computer programming courses. Thus, a prototype based on merging static and dynamic analysis was developed. Empirical evaluation of the proposed grading tool within an introductory C-language course has been presented and compared to manually assigned marks. The outcomes of the comparative analysis have shown the reliability of the proposed automatic assessment prototype.
This document discusses agile manufacturing systems from an automotive industry perspective. It presents two decision models - a spreadsheet model and decision tree model - to study whether to invest in a dedicated, agile, or flexible manufacturing system for engine and transmission parts. The models provide initial insights into assessing the business case for investing in agile manufacturing. Agile systems seem to enable fast and cost-effective responses to new product introductions and unpredictable demand. However, more research is needed to fully address the business case for agility across multiple manufacturing sites. The document also discusses key enablers of agile manufacturing like virtual enterprise tools and concurrent engineering.
Designing systems for managing dynamic collaborative research processesscottw
This document summarizes a workshop on designing systems for managing collaborative research processes. It discusses why collaborative research workflows are important given an emphasis on collaborative work in funding. It explores potential research process characteristics and benefits and risks of automating such processes. It then analyzes different aspects of collaborative research processes like work distribution, monitoring, audit, self-organization, and strategy using concepts from cybernetics and the Viable Systems Model. Finally, it discusses observations that collaborative processes require more flexible approaches than traditional business process management methods allow and outlines areas for future work.
The document discusses using a three-phase modeling approach to plan improvements to a university's student information management system. The phases included: 1) evaluating the existing "as is" system, 2) analyzing it to identify areas for improvement and design a proposed "to be" system, and 3) adding real-world considerations to create practical solutions. A case study on improving an inconsistent student attendance monitoring system demonstrated applying the modeling techniques. The modeling led to the conclusion that sub-systems for different functional areas were needed, but core data sharing between them was important for effective management.
Its an Online Job Portal..
it was our BE Project..
u can view it on http://jobportal.akshay.uco.im/
if is case you want our project or the contents just mail me on ajay.maurya24@yahoo.in
This document presents the design and implementation of an online job portal. It discusses how the proposed system aims to minimize problems faced by job applicants in finding suitable jobs. The key features and modules of the system are summarized as follows:
The system has separate modules for job seekers and employers. The job seeker module allows applicants to post and update their resumes and browse available vacancies. The employer module enables employers to post job openings and search applicant resumes. An administration module manages applicant and employer profiles. The system is designed to be cost-effective and provide a simple user interface with advanced search filters and SMS notifications.
This document summarizes an internship report submitted for a Master's degree. The internship involved building an online marketplace to match job seekers with employers. Key aspects included developing an instant automated search feature and a ranking algorithm. The search allows users to immediately view relevant results based on their criteria. The ranking algorithm orders results by factors like job category, type, position, and experience to provide the most useful listings. The system aims to improve on traditional job boards and connect users more efficiently through an advanced profile-based approach.
Core + Crowd: Why (and how) crowdsourcing is about to become mainstreamCrowdsourcing Week
This document discusses how crowdsourcing is becoming mainstream through the "Core + Crowd" model. It outlines the history and current state of crowdsourcing, and introduces the concept of "Crowd 2.0" - making crowdsourcing more social by allowing organizations to build customized crowds. Crowd 2.0 moves beyond early crowdsourcing approaches by making communities more open, personalized, and gamified. The future workforce is predicted to blend core teams, freelancers, crowdsourced labor, and automation through platforms like HeroX that connect organizations to large global crowds without managing overhead.
ISPIM-Managing the fuzzy front-end of InnovationIgor Ellakuria
This document analyzes the use of social web applications to manage the front end of innovation within cooperative companies. It describes a case study where a social networking platform was deployed within 34 cooperatives to generate ideas for the water sector. While participation metrics like page views and blog posts were satisfactory, the number of submitted ideas was below expectations. It concludes that social web applications show promise for early innovation management, but more work is needed to improve idea generation mechanisms for cooperatives.
Mixed Recommendation Algorithm Based on Content, Demographic and Collaborativ...IRJET Journal
The document describes a proposed hybrid recommendation algorithm that incorporates content filtering, collaborative filtering, and demographic filtering. It begins with an overview of recommendation systems and different filtering techniques. Then, it discusses related work incorporating various filtering approaches. The methodology section outlines the original algorithm, which develops user profiles based on browsing history and ratings. It provides recommendations by calculating similarities between user and item profiles. The proposed methodology enhances this by incorporating demographic attributes into user profiles and using fuzzy logic to validate recommendations. It claims this integrated approach can provide more accurate and personalized recommendations.
Final wireframes from screen concept to user interaction v0.4Mia Horrigan
The document discusses how wireframes were initially developed based on business processes and data requirements rather than user needs, resulting in an unintuitive interface. It then describes how the team shifted to an agile, user-centered approach using tools like personas, scenarios and prototypes to understand users and design an interface that meets their needs and supports their work. This iterative process in close collaboration with users improved the design and increased buy-in.
Forecasting movie rating using k-nearest neighbor based collaborative filteringIJECEIAES
Expressing reviews in the form of sentiments or ratings for item used or movie seen is the part of human habit. These reviews are easily available on different social websites. Based on interest pattern of a user, it is important to recommend him the items. Recommendation system is playing a vital role in everyone’s life as demand of recommendation for user’s interest increasing day by day. Movie recommendation system based on available ratings for a movie has become interesting part for new users. Till today, a lot many recommendation systems are designed using several machine learning algorithms. Still, sparsity problems, cold start problem, scalability, grey sheep problem are the hurdles for the recommendation systems that must be resolved using hybrid algorithms. We proposed in this paper, a movie rating system using a k-nearest neighbor (KNN-based) collaborative filtering (CF) approach. We compared user’s ratings for different movies to get top K users. Then we have used this top K set to find missing ratings by user for a movie using CF. Our proposed system when evaluated for various criteria shows promising results for movie recommendations compared with existing systems.
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
An Integrated E-Recruitment System For Automated Personality Mining And Appli...Fiona Phillips
The document summarizes a research paper that presents an integrated e-recruitment system for automated personality mining and applicant ranking. The proposed system implements automated candidate ranking based on criteria extracted from applicants' LinkedIn profiles, including education, work experience, loyalty, and personality traits mined from blog text using linguistic analysis. The system was tested in a real-world recruitment scenario, where it effectively discriminated top candidates and provided rankings consistent with expert recruiters. The system aimed to increase recruitment efficiency by automating initial screening and limiting interviews to top candidates.
Net challenge training_material_bc_management_v010netchallenge
This presentation provides an overview of the Net-Challenge methodology for training facilitators and members of business communities. It discusses key topics including background on collaborative business networks, the Net-Challenge methodology, base concepts around network typology and collaboration modes, and the Net-Challenge Business Community Management approach. The goal is to support knowledge sharing and consolidation among participants.
This document describes a new approach to machine learning that harnesses the wisdom of crowds to develop predictive models of behavioral outcomes. The approach uses a web platform where users answer questions to predict an outcome (like electricity usage or BMI) and also generate new questions. As more users contribute data by answering questions, models are developed that can better predict outcomes based on the question responses. Two experiments accurately predicted monthly electricity usage and BMI based on models developed from questions crowdsourced by users. This novel approach may lead to new insights into causal factors of behaviors.
The document describes a student attendance tracking system called "Parents Connect". It allows staff to record student attendance daily and generates reports on weekly and monthly attendance. It aims to reduce paperwork and save time by automating attendance tracking and report generation. Key features include attendance tracking, report generation, and a portal for parents to monitor their child's attendance.
This document discusses how open networked organizations can generate knowledge and business value through facilitating interactions and networks. It provides examples of how various organizations have increased productivity, profitability, and effectiveness by applying principles of open networking and knowledge sharing. The document also outlines tools and strategies for mapping organizational networks and stakeholder relationships to address business challenges in a collaborative way.
The Pragmatic Evaluation of Tool System InteroperabilityCommunitySense
A. de Moor (2007). The Pragmatic Evaluation of Tool System Interoperability (invited paper). In Proc. of the 2nd ICCS Conceptual Structures Tool Interoperability Workshop (CS-TIW 2007), Sheffield, UK, July 22, 2007. Research Press International, Bristol, UK, pp.1-19.
Mapping Knowledge Activities with System Operations to Foster Information Sys...ARISTOTELE
The document summarizes a study that analyzed work processes from two European organizations to map how system operations relate to knowledge activities. The study found that selection, acquisition, and generation activities accounted for the majority (82%) of coded knowledge activities. While the study provided insights, its results have limitations due to the small sample size and scope. Overall, the document concludes that mapping system operations to knowledge activities is feasible and could help improve performance by recognizing patterns in tasks and activities.
Validity of a graph-based automatic assessment system for programming assign...IJECEIAES
Programming is a very complex and challenging subject to teach and learn. A strategy guaranteed to deliver proven results has been intensive and continual training. However, this strategy holds an extra workload for the teachers with huge numbers of programming assignments to evaluate in a fair and timely manner. Furthermore, under the current coronavirus (COVID-19) distance teaching circumstances, regular assessment is a fundamental feedback mechanism. It ensures that students engage in learning as well as determines the extent to which they reached the expected learning goals, in this new learning reality. In sum, automating the assessment process will be particularly appreciated by the instructors and highly beneficial to the students. The purpose of this paper is to investigate the feasibility of automatic assessment in the context of computer programming courses. Thus, a prototype based on merging static and dynamic analysis was developed. Empirical evaluation of the proposed grading tool within an introductory C-language course has been presented and compared to manually assigned marks. The outcomes of the comparative analysis have shown the reliability of the proposed automatic assessment prototype.
This document discusses agile manufacturing systems from an automotive industry perspective. It presents two decision models - a spreadsheet model and decision tree model - to study whether to invest in a dedicated, agile, or flexible manufacturing system for engine and transmission parts. The models provide initial insights into assessing the business case for investing in agile manufacturing. Agile systems seem to enable fast and cost-effective responses to new product introductions and unpredictable demand. However, more research is needed to fully address the business case for agility across multiple manufacturing sites. The document also discusses key enablers of agile manufacturing like virtual enterprise tools and concurrent engineering.
Designing systems for managing dynamic collaborative research processesscottw
This document summarizes a workshop on designing systems for managing collaborative research processes. It discusses why collaborative research workflows are important given an emphasis on collaborative work in funding. It explores potential research process characteristics and benefits and risks of automating such processes. It then analyzes different aspects of collaborative research processes like work distribution, monitoring, audit, self-organization, and strategy using concepts from cybernetics and the Viable Systems Model. Finally, it discusses observations that collaborative processes require more flexible approaches than traditional business process management methods allow and outlines areas for future work.
The document discusses using a three-phase modeling approach to plan improvements to a university's student information management system. The phases included: 1) evaluating the existing "as is" system, 2) analyzing it to identify areas for improvement and design a proposed "to be" system, and 3) adding real-world considerations to create practical solutions. A case study on improving an inconsistent student attendance monitoring system demonstrated applying the modeling techniques. The modeling led to the conclusion that sub-systems for different functional areas were needed, but core data sharing between them was important for effective management.
Its an Online Job Portal..
it was our BE Project..
u can view it on http://jobportal.akshay.uco.im/
if is case you want our project or the contents just mail me on ajay.maurya24@yahoo.in
This document presents the design and implementation of an online job portal. It discusses how the proposed system aims to minimize problems faced by job applicants in finding suitable jobs. The key features and modules of the system are summarized as follows:
The system has separate modules for job seekers and employers. The job seeker module allows applicants to post and update their resumes and browse available vacancies. The employer module enables employers to post job openings and search applicant resumes. An administration module manages applicant and employer profiles. The system is designed to be cost-effective and provide a simple user interface with advanced search filters and SMS notifications.
This document summarizes an internship report submitted for a Master's degree. The internship involved building an online marketplace to match job seekers with employers. Key aspects included developing an instant automated search feature and a ranking algorithm. The search allows users to immediately view relevant results based on their criteria. The ranking algorithm orders results by factors like job category, type, position, and experience to provide the most useful listings. The system aims to improve on traditional job boards and connect users more efficiently through an advanced profile-based approach.
Core + Crowd: Why (and how) crowdsourcing is about to become mainstreamCrowdsourcing Week
This document discusses how crowdsourcing is becoming mainstream through the "Core + Crowd" model. It outlines the history and current state of crowdsourcing, and introduces the concept of "Crowd 2.0" - making crowdsourcing more social by allowing organizations to build customized crowds. Crowd 2.0 moves beyond early crowdsourcing approaches by making communities more open, personalized, and gamified. The future workforce is predicted to blend core teams, freelancers, crowdsourced labor, and automation through platforms like HeroX that connect organizations to large global crowds without managing overhead.
ISPIM-Managing the fuzzy front-end of InnovationIgor Ellakuria
This document analyzes the use of social web applications to manage the front end of innovation within cooperative companies. It describes a case study where a social networking platform was deployed within 34 cooperatives to generate ideas for the water sector. While participation metrics like page views and blog posts were satisfactory, the number of submitted ideas was below expectations. It concludes that social web applications show promise for early innovation management, but more work is needed to improve idea generation mechanisms for cooperatives.
Mixed Recommendation Algorithm Based on Content, Demographic and Collaborativ...IRJET Journal
The document describes a proposed hybrid recommendation algorithm that incorporates content filtering, collaborative filtering, and demographic filtering. It begins with an overview of recommendation systems and different filtering techniques. Then, it discusses related work incorporating various filtering approaches. The methodology section outlines the original algorithm, which develops user profiles based on browsing history and ratings. It provides recommendations by calculating similarities between user and item profiles. The proposed methodology enhances this by incorporating demographic attributes into user profiles and using fuzzy logic to validate recommendations. It claims this integrated approach can provide more accurate and personalized recommendations.
Final wireframes from screen concept to user interaction v0.4Mia Horrigan
The document discusses how wireframes were initially developed based on business processes and data requirements rather than user needs, resulting in an unintuitive interface. It then describes how the team shifted to an agile, user-centered approach using tools like personas, scenarios and prototypes to understand users and design an interface that meets their needs and supports their work. This iterative process in close collaboration with users improved the design and increased buy-in.
Forecasting movie rating using k-nearest neighbor based collaborative filteringIJECEIAES
Expressing reviews in the form of sentiments or ratings for item used or movie seen is the part of human habit. These reviews are easily available on different social websites. Based on interest pattern of a user, it is important to recommend him the items. Recommendation system is playing a vital role in everyone’s life as demand of recommendation for user’s interest increasing day by day. Movie recommendation system based on available ratings for a movie has become interesting part for new users. Till today, a lot many recommendation systems are designed using several machine learning algorithms. Still, sparsity problems, cold start problem, scalability, grey sheep problem are the hurdles for the recommendation systems that must be resolved using hybrid algorithms. We proposed in this paper, a movie rating system using a k-nearest neighbor (KNN-based) collaborative filtering (CF) approach. We compared user’s ratings for different movies to get top K users. Then we have used this top K set to find missing ratings by user for a movie using CF. Our proposed system when evaluated for various criteria shows promising results for movie recommendations compared with existing systems.
Similaire à Self-organization in online collaborative work settings (20)
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
Authoring a personal GPT for your research and practice: How we created the Q...Leonel Morgado
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
PPT on Alternate Wetting and Drying presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
Microbial interaction
Microorganisms interacts with each other and can be physically associated with another organisms in a variety of ways.
One organism can be located on the surface of another organism as an ectobiont or located within another organism as endobiont.
Microbial interaction may be positive such as mutualism, proto-cooperation, commensalism or may be negative such as parasitism, predation or competition
Types of microbial interaction
Positive interaction: mutualism, proto-cooperation, commensalism
Negative interaction: Ammensalism (antagonism), parasitism, predation, competition
I. Mutualism:
It is defined as the relationship in which each organism in interaction gets benefits from association. It is an obligatory relationship in which mutualist and host are metabolically dependent on each other.
Mutualistic relationship is very specific where one member of association cannot be replaced by another species.
Mutualism require close physical contact between interacting organisms.
Relationship of mutualism allows organisms to exist in habitat that could not occupied by either species alone.
Mutualistic relationship between organisms allows them to act as a single organism.
Examples of mutualism:
i. Lichens:
Lichens are excellent example of mutualism.
They are the association of specific fungi and certain genus of algae. In lichen, fungal partner is called mycobiont and algal partner is called
II. Syntrophism:
It is an association in which the growth of one organism either depends on or improved by the substrate provided by another organism.
In syntrophism both organism in association gets benefits.
Compound A
Utilized by population 1
Compound B
Utilized by population 2
Compound C
utilized by both Population 1+2
Products
In this theoretical example of syntrophism, population 1 is able to utilize and metabolize compound A, forming compound B but cannot metabolize beyond compound B without co-operation of population 2. Population 2is unable to utilize compound A but it can metabolize compound B forming compound C. Then both population 1 and 2 are able to carry out metabolic reaction which leads to formation of end product that neither population could produce alone.
Examples of syntrophism:
i. Methanogenic ecosystem in sludge digester
Methane produced by methanogenic bacteria depends upon interspecies hydrogen transfer by other fermentative bacteria.
Anaerobic fermentative bacteria generate CO2 and H2 utilizing carbohydrates which is then utilized by methanogenic bacteria (Methanobacter) to produce methane.
ii. Lactobacillus arobinosus and Enterococcus faecalis:
In the minimal media, Lactobacillus arobinosus and Enterococcus faecalis are able to grow together but not alone.
The synergistic relationship between E. faecalis and L. arobinosus occurs in which E. faecalis require folic acid
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...Sérgio Sacani
We present the JWST discovery of SN 2023adsy, a transient object located in a host galaxy JADES-GS
+
53.13485
−
27.82088
with a host spectroscopic redshift of
2.903
±
0.007
. The transient was identified in deep James Webb Space Telescope (JWST)/NIRCam imaging from the JWST Advanced Deep Extragalactic Survey (JADES) program. Photometric and spectroscopic followup with NIRCam and NIRSpec, respectively, confirm the redshift and yield UV-NIR light-curve, NIR color, and spectroscopic information all consistent with a Type Ia classification. Despite its classification as a likely SN Ia, SN 2023adsy is both fairly red (
�
(
�
−
�
)
∼
0.9
) despite a host galaxy with low-extinction and has a high Ca II velocity (
19
,
000
±
2
,
000
km/s) compared to the general population of SNe Ia. While these characteristics are consistent with some Ca-rich SNe Ia, particularly SN 2016hnk, SN 2023adsy is intrinsically brighter than the low-
�
Ca-rich population. Although such an object is too red for any low-
�
cosmological sample, we apply a fiducial standardization approach to SN 2023adsy and find that the SN 2023adsy luminosity distance measurement is in excellent agreement (
≲
1
�
) with
Λ
CDM. Therefore unlike low-
�
Ca-rich SNe Ia, SN 2023adsy is standardizable and gives no indication that SN Ia standardized luminosities change significantly with redshift. A larger sample of distant SNe Ia is required to determine if SN Ia population characteristics at high-
�
truly diverge from their low-
�
counterparts, and to confirm that standardized luminosities nevertheless remain constant with redshift.
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdfSelcen Ozturkcan
Ozturkcan, S., Berndt, A., & Angelakis, A. (2024). Mending clothing to support sustainable fashion. Presented at the 31st Annual Conference by the Consortium for International Marketing Research (CIMaR), 10-13 Jun 2024, University of Gävle, Sweden.
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
CLASS 12th CHEMISTRY SOLID STATE ppt (Animated)eitps1506
Description:
Dive into the fascinating realm of solid-state physics with our meticulously crafted online PowerPoint presentation. This immersive educational resource offers a comprehensive exploration of the fundamental concepts, theories, and applications within the realm of solid-state physics.
From crystalline structures to semiconductor devices, this presentation delves into the intricate principles governing the behavior of solids, providing clear explanations and illustrative examples to enhance understanding. Whether you're a student delving into the subject for the first time or a seasoned researcher seeking to deepen your knowledge, our presentation offers valuable insights and in-depth analyses to cater to various levels of expertise.
Key topics covered include:
Crystal Structures: Unravel the mysteries of crystalline arrangements and their significance in determining material properties.
Band Theory: Explore the electronic band structure of solids and understand how it influences their conductive properties.
Semiconductor Physics: Delve into the behavior of semiconductors, including doping, carrier transport, and device applications.
Magnetic Properties: Investigate the magnetic behavior of solids, including ferromagnetism, antiferromagnetism, and ferrimagnetism.
Optical Properties: Examine the interaction of light with solids, including absorption, reflection, and transmission phenomena.
With visually engaging slides, informative content, and interactive elements, our online PowerPoint presentation serves as a valuable resource for students, educators, and enthusiasts alike, facilitating a deeper understanding of the captivating world of solid-state physics. Explore the intricacies of solid-state materials and unlock the secrets behind their remarkable properties with our comprehensive presentation.
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...Travis Hills MN
By harnessing the power of High Flux Vacuum Membrane Distillation, Travis Hills from MN envisions a future where clean and safe drinking water is accessible to all, regardless of geographical location or economic status.
Candidate young stellar objects in the S-cluster: Kinematic analysis of a sub...Sérgio Sacani
Context. The observation of several L-band emission sources in the S cluster has led to a rich discussion of their nature. However, a definitive answer to the classification of the dusty objects requires an explanation for the detection of compact Doppler-shifted Brγ emission. The ionized hydrogen in combination with the observation of mid-infrared L-band continuum emission suggests that most of these sources are embedded in a dusty envelope. These embedded sources are part of the S-cluster, and their relationship to the S-stars is still under debate. To date, the question of the origin of these two populations has been vague, although all explanations favor migration processes for the individual cluster members. Aims. This work revisits the S-cluster and its dusty members orbiting the supermassive black hole SgrA* on bound Keplerian orbits from a kinematic perspective. The aim is to explore the Keplerian parameters for patterns that might imply a nonrandom distribution of the sample. Additionally, various analytical aspects are considered to address the nature of the dusty sources. Methods. Based on the photometric analysis, we estimated the individual H−K and K−L colors for the source sample and compared the results to known cluster members. The classification revealed a noticeable contrast between the S-stars and the dusty sources. To fit the flux-density distribution, we utilized the radiative transfer code HYPERION and implemented a young stellar object Class I model. We obtained the position angle from the Keplerian fit results; additionally, we analyzed the distribution of the inclinations and the longitudes of the ascending node. Results. The colors of the dusty sources suggest a stellar nature consistent with the spectral energy distribution in the near and midinfrared domains. Furthermore, the evaporation timescales of dusty and gaseous clumps in the vicinity of SgrA* are much shorter ( 2yr) than the epochs covered by the observations (≈15yr). In addition to the strong evidence for the stellar classification of the D-sources, we also find a clear disk-like pattern following the arrangements of S-stars proposed in the literature. Furthermore, we find a global intrinsic inclination for all dusty sources of 60 ± 20◦, implying a common formation process. Conclusions. The pattern of the dusty sources manifested in the distribution of the position angles, inclinations, and longitudes of the ascending node strongly suggests two different scenarios: the main-sequence stars and the dusty stellar S-cluster sources share a common formation history or migrated with a similar formation channel in the vicinity of SgrA*. Alternatively, the gravitational influence of SgrA* in combination with a massive perturber, such as a putative intermediate mass black hole in the IRS 13 cluster, forces the dusty objects and S-stars to follow a particular orbital arrangement. Key words. stars: black holes– stars: formation– Galaxy: center– galaxies: star formation
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
2. HOW TO FORM SUCCESSFUL
TEAMS?
CRUCIAL
ACROSS
FIELDS
Innovation
Education
New forms of labor, such as
crowd work and macrotasking
THE WAY WE
WORK IS
CHANGING
More and more people work in
ad-hoc, project-based teams
Crowd labor attracts complex
tasks, which depend on
collaboration
TEAM
FORMATION:
THEN AND NOW
Then: Face-to-face settings,
manager decides group
members, based on knowledge
of skills or collaboration history
Now: Algorithms play central
role due to crowd work’s scale
2022 Self-organization in online collaborative work settings 2
3. ALGORITHMIC
TEAM
FORMATION
TYPICALLY TOP-DOWN
Using pre-existing information (e.g., skills,
demographics) to optimize certain business
objectives (e.g., deadline, cost)
No worker agency (e.g., feedback)
Fit for well-defined tasks (known-requirements, little
dependency on collaboration dynamics)
LACK OF AGENCY IN WHO
ONE WORKS WITH CAN
Stifle creativity and initiative-taking
Increase psychological discomfort
Result in less-than-optimal collaboration results
Especially when the task concerned is open-ended,
creative, and complex
2022 Self-organization in online collaborative work settings 3
4. HOW TO DESIGN
ALGORITHMS THAT GIVE
WORKERS CONTROL
WHILE MAINTAINING
QUALITY?
Self-organization in online collaborative work settings 4
2022
6. SOPs: CORE PRINCIPLES
SELF-ORGANIZATION
Crowd workers try out and evaluate
different collaborators
Gradually converge to preferred pairs
Algorithm facilitates rather than directing
EXPLORATION-
EXPLOITATION
Cycles of intra-pair collaboration and inter-pair
competition motivate workers to find the best
matches while progressing the task
Exploration of new collaborations, exploitation of
existing ones
Self-organization in online collaborative work settings 6
2022
7. SOPs METHOD: STEPS
COLLABORATION
Participants collaborate in dyads to progress a creative task, which for this study is
continuing a short fictional story
Self-organization in online collaborative work settings 7
2022
8. PEER EVALUATION
Then they evaluate their in-between collaboration
Self-organization in online collaborative work settings 8
2022
SOPs METHOD: STEPS
9. BEST STORY VOTING
Next, the pairs compete for the best story continuation through peer review. The result is
appended to the main story.
Self-organization in online collaborative work settings 9
2022
SOPs METHOD: STEPS
10. COLLABORATOR SELECTION
Finally, participants indicate which collaborators they want to work with in the next round
(process repeats for three rounds).
Self-organization in online collaborative work settings 10
2022
SOPs METHOD: STEPS
11. BEHIND THE SCENES: SOPs
ALGORITHM
Self-organization in online collaborative work settings 11
2022
12. EVALUATION: EXPERIMENTAL
CONDITIONS
SOPS
People indicate preferred
collaborators
Algorithm respects user
choices
PLACEBO
Illusion of agency
Same interface as SOPs
Algorithm does not take choices
into account, pairs users randomly
NO-AGENCY
Lack of agency, similar to
existing top-down team
formation methods
Randomly initialized pairs, fixed
throughout the process
2022 Self-organization in online collaborative work settings 12
13. EXPERIMENTAL SETUP
PARTICIPANT
S AND
OUTPUTS
140 people
18 experiments
18 final stories, 196 unique
story continuations
Random allocation to condition
Total time per experiment: 30
minutes
STORY
EVALUATION
External story evaluation,
10 different judges per
story (AMT)
STORY QUALITY
CRITERIA
Grammar: How grammatically and
syntactically correct is the story?
Interest: How interesting is the
story?
Originality: How original is the story?
Plot: How good is the story plot?
Overall impression: Overall, how
much did you like the story?
2022 Self-organization in online collaborative work settings 13
14. QUALITY OF THE
CREATIVE OUTCOME
SOPs wrote stories of
higher quality across all examined
axes
Self-organization in online collaborative work settings 14
2022
EVALUATION: RESULTS
15. QUALITY OF THE
COLLABORATION
People in the SOPs condition
evaluated one other higher in
three axes:
Collaboration
Helpfulness
Skillfulness
Self-organization in online collaborative work settings 15
2022
EVALUATION: RESULTS
16. COMPETENCIES IN
COMMON
SOP members were more
aligned in personal values,
skill similarity, and work
strategy
Self-organization in online collaborative work settings 16
2022
EVALUATION: RESULTS
17. IMPACT
2022 Self-organization in online collaborative work settings 17
SCIENTIFIC
Lay the ground for human-
centered, non-intrusive
collaborative crowd work
systems
Workers integral part of
algorithmic decision-making
INDUSTRIAL
Help platforms integrate
collaboration more
systematically into their
processes
SOCIETAL
Balanced coexistence between
human workers and collaboration
management algorithms
More respectful Future of Work
Better uses of human and
algorithmic capabilities