Slides from the CAQDAS Networking Project's webinar on 1st September 2023: Artificial Intelligence in Qualitative Data Analysis - Hoo-ha or Step-Change?
During 2023 there’s been increasing discussion about the use of artificial intelligence (AI) in qualitative research, spurred by widespread access to generative-AI technologies such as ChatGPT developed by OpenAI.
In this webinar Christina first recounts the history of AI in qualitative data analysis, outlining developments that far pre-date the current upsurge; including Qualrus, Discovertext, WordStat and QDA Miner, and Leximancer.
She’ll then outline how generative-AI is being used in qualitative data analysis at the moment, discussing three uses: chat bots alongside other analytic tools; integrations of OpenAI technology into already established Qualitative Software; and the rise of new generative-AI applications designed specifically for qualitative data analysis tasks.
Christina will open discussion about the implications of these developments for the practice of qualitative research. When are these tools appropriate? What do we need to know about them? What are the ethics of using them? What should we be cautious and excited about? How can the qualitative community shape their development?
Whether you’re an advocate of the use of AI in qualitative data analysis or a sceptic, these technologies are here, they have already impacted the field of qualitative research and they will continue to do so. Join Christina to be part of the conversation, find out what’s happening, share your experiences and experimentations, your fears and hopes. Let the developers know how you want to see these technologies harnessed.
Choosing the right software for your research study : an overview of leading ...Merlien Institute
Choosing the right software for your research study : an overview of leading CAQDAS packages by Christina Silver. This presentation is part of the proceedings of the International workshop on Computer-Aided Qualitative Research organised by Merlien Institute. This workshop was held on the 4-5 June in Utrecht, The Netherlands
SGCI - Science Gateways - Technology-Enhanced Research Under Consideration of...Sandra Gesing
Science gateways - also called virtual research environments or virtual labs - allow science and engineering communities to access shared data, software, computing services, instruments, and other resources specific to their disciplines and use them also in teaching environments. In the last decade mature complete science gateway frameworks have evolved such as HUBzero and Galaxy as well as Agave and Apache Airavata. Successful implementations have been adapted for several science gateways, for example, the technologies behind the science gateways CIPRES, which is used by over 20.000 users to date and serves the community in the area of large phylogenetic trees. Lessons learned from the last decade include that approaches should be technology agnostic, use standard web technologies or deliver a complete solution. Independent of the technology, the major driver for science gateways are the user communities and user engagement is key for successful science gateways. The US Science Gateways Community Institute (SGCI), opened in August 2016, provides free resources, services, experts, and ideas for creating and sustaining science gateways. It offers five areas of services to the science gateway developer and user communities: the Incubator, Extended Developer Support, the Scientific Software Collaborative, Community Engagement and Exchange, and Workforce Development. The talk will give an introduction to science gateways, examples for science gateways and an overview on the services offered by the SGCI to serve user communities and developers for creating successful science gateways.
This presentation was provided by Jake Zarnegar of Silverchair, during the NFAIS Forethought event "Artificial Intelligence #2 – Processes for Media Analysis and Extraction" The webinar was held on May 20, 2020.
Linked Data Love: research representation, discovery, and assessment
#ALAAC15
The explosion of linked data platforms and data stores over the last five years has been profound – both in terms of quantity of data as well as its potential impact. Research information systems such as VIVO (www.vivoweb.org) play a significant role in enabling this work. VIVO is an open source, Semantic Web-based application that provides an integrated, searchable view of the scholarly activities of an organization. The uniform semantic structure of VIVO-ISF data enables a new class of tools to advance science. This presentation will provide a brief introduction and update to VIVO and present ways that this semantically-rich data can enable visualizations, reporting and assessment, next-generation collaboration and team building, and enhanced multi-site search. Libraries are uniquely positioned to facilitate the open representation of research information and its subsequent use to spur collaboration, discovery, and assessment. The talk will conclude with a description of ways librarians are engaged in this work – including visioning, metadata and ontology creation, policy creation, data curation and management, technical, and engagement activities.
Kristi Holmes, PhD
Director, Galter Health Sciences Library
Director of Evaluation, NUCATS
Associate Professor, Preventive Medicine-Health and Biomedical Informatics
Northwestern University Feinberg School of Medicine
Choosing the right software for your research study : an overview of leading ...Merlien Institute
Choosing the right software for your research study : an overview of leading CAQDAS packages by Christina Silver. This presentation is part of the proceedings of the International workshop on Computer-Aided Qualitative Research organised by Merlien Institute. This workshop was held on the 4-5 June in Utrecht, The Netherlands
SGCI - Science Gateways - Technology-Enhanced Research Under Consideration of...Sandra Gesing
Science gateways - also called virtual research environments or virtual labs - allow science and engineering communities to access shared data, software, computing services, instruments, and other resources specific to their disciplines and use them also in teaching environments. In the last decade mature complete science gateway frameworks have evolved such as HUBzero and Galaxy as well as Agave and Apache Airavata. Successful implementations have been adapted for several science gateways, for example, the technologies behind the science gateways CIPRES, which is used by over 20.000 users to date and serves the community in the area of large phylogenetic trees. Lessons learned from the last decade include that approaches should be technology agnostic, use standard web technologies or deliver a complete solution. Independent of the technology, the major driver for science gateways are the user communities and user engagement is key for successful science gateways. The US Science Gateways Community Institute (SGCI), opened in August 2016, provides free resources, services, experts, and ideas for creating and sustaining science gateways. It offers five areas of services to the science gateway developer and user communities: the Incubator, Extended Developer Support, the Scientific Software Collaborative, Community Engagement and Exchange, and Workforce Development. The talk will give an introduction to science gateways, examples for science gateways and an overview on the services offered by the SGCI to serve user communities and developers for creating successful science gateways.
This presentation was provided by Jake Zarnegar of Silverchair, during the NFAIS Forethought event "Artificial Intelligence #2 – Processes for Media Analysis and Extraction" The webinar was held on May 20, 2020.
Linked Data Love: research representation, discovery, and assessment
#ALAAC15
The explosion of linked data platforms and data stores over the last five years has been profound – both in terms of quantity of data as well as its potential impact. Research information systems such as VIVO (www.vivoweb.org) play a significant role in enabling this work. VIVO is an open source, Semantic Web-based application that provides an integrated, searchable view of the scholarly activities of an organization. The uniform semantic structure of VIVO-ISF data enables a new class of tools to advance science. This presentation will provide a brief introduction and update to VIVO and present ways that this semantically-rich data can enable visualizations, reporting and assessment, next-generation collaboration and team building, and enhanced multi-site search. Libraries are uniquely positioned to facilitate the open representation of research information and its subsequent use to spur collaboration, discovery, and assessment. The talk will conclude with a description of ways librarians are engaged in this work – including visioning, metadata and ontology creation, policy creation, data curation and management, technical, and engagement activities.
Kristi Holmes, PhD
Director, Galter Health Sciences Library
Director of Evaluation, NUCATS
Associate Professor, Preventive Medicine-Health and Biomedical Informatics
Northwestern University Feinberg School of Medicine
Keynote for Theory and Practice of Digital Libraries 2017
The theory and practice of digital libraries provides a long history of thought around how to manage knowledge ranging from collection development, to cataloging and resource description. These tools were all designed to make knowledge findable and accessible to people. Even technical progress in information retrieval and question answering are all targeted to helping answer a human’s information need.
However, increasingly demand is for data. Data that is needed not for people’s consumption but to drive machines. As an example of this demand, there has been explosive growth in job openings for Data Engineers – professionals who prepare data for machine consumption. In this talk, I overview the information needs of machine intelligence and ask the question: Are our knowledge management techniques applicable for serving this new consumer?
Presenting the following paper “Science Gateways: The Long Road to the Birth of an Institute” by Sandra Gesing, Nancy Wilkins-Diehr, Maytal Dahan, Katherine Lawrence, Michael Zentner, Marlon Pierce, Linda Hayden, Suresh Marru at HICSS50 Conference.
Data Science. Artificial Intelligence. Machine Learning. From startups to banks to the military, there is a growing demand for a new brand of expertise. Despite this need, many analytical job advertisements might as well be titled "Engineers Need Not Apply". Is engineering doomed in this brave new world of big data and deep neural networks? Fear not! In this talk, Dr. Aron Ahmadia, a seasoned data scientist and lead of Capital One's Machine Intelligence team, explains how an engineering education has become even more relevant in today's professional environments with rapidly evolving requirements, technologies, and teams. Learn about how an engineering degree prepares you for a career in data science: what courses to take, which programming languages are relevant, and what experience hiring managers are looking for.
ICRM conference - Workshop on Visual Analysis with Christina Silver.pdfChristina Silver
This workshop discusses currently available CAQDAS tools that facilitate creative data analysis to inform choices between tools and facilitate the planning and doing of analysis using them, and contributes to the further refinement of these tools by gathering needs from participants regarding visual tools. The focus in on analysing visual data and visual analysis techniques and the workshop is organised accordingly. First we discuss tools for analysing any form of still and/or moving images, such as participant- or researcher-generated photographs, drawings, artwork, video, film, screencasts etc. We look at tools for analysing these materials both directly (e.g. marking, annotating and coding the source materials) and indirectly (e.g. generating synchronised and dynamic transcripts or summaries which are then analysed. Second we discuss visual techniques for analysing any form of qualitative material (so any form of text as well as visual materials), focusing on visual annotation, emoji-coding and hyperlinking. Illustrations from several CAQDAS-packages are discussed, including ATLAS.ti, MAXQDA, QDA Miner, NVivo, Quirkos and Transana. The aim of the workshop is twofold: to provide an overview of currently available tools to facilitate informed decision-making between them and creative use of them, and to collate creative researchers’ needs for visual analysis tools that will be shared with CAQDAS developers. The author is in the unique position of having long-standing working relationships with CAQDAS developers whilst maintaining professional independence, and therefore has a direct means of feeding back the insights that are generated in this workshop. Therefore the workshop will also gather participants’ experiences of using other tools and techniques to analyse visual materials and visually analyse qualitative data. Relatively little has changed in the CAQDAS-field regarding visual data analysis for many years (with a few notable exceptions) (see Silver 2019) so this workshop is an opportunity for creative researchers to contribute to changing this.
Enabling Research without Geographical Boundaries via Collaborative Research ...Sandra Gesing
Collaborative research infrastructures on global scale for earth and space sciences face a plethora of challenges from technical implementations to organizational aspects. Science gateways – also known as virtual research environments (VREs) or virtual laboratories - address part of such challenges by providing end-to-end solutions to aid researchers to focus on their specific research questions without the need to become acquainted with the technical details of the complex underlying infrastructures. In general, they provide a single point of entry to tools and data irrespective of organizational boundaries and thus make scientific discoveries easier and faster. The importance of science gateways has been recognized on national as well as on international level by funding bodies and by organizations. For example, the US NSF has just funded a Science Gateways Community Institute, which offers support, consultancy and open accessible software repositories for users and developers; Horizon 2020 provides funding for virtual research environments in Europe, which has led to projects such as VRE4EIC (A Europe-wide Interoperable Virtual Research Environment to Empower Multidisciplinary Research Communities and Accelerate Innovation and Collaboration); national or continental research infrastructures such as XSEDE in the USA, Nectar in Australia or EGI in Europe support the development and uptake of science gateways; the global initiatives International Coalition on Science Gateways, the RDA Virtual Research Environment Interest Group as well as the IEEE Technical Area on Science Gateways have been founded to provide global leadership on future directions for science gateways in general and facilitate awareness for science gateways. This presentation will give an overview on these projects and initiatives aiming at supporting domain researchers and developers with measures for the efficient creation of science gateways, for increasing their usability and sustainability under consideration of the breadth of topics in the context of science gateways. It will go into detail for the challenges the community faces for collaborative research on global scale without geographical boundaries and will provide suggestions for further enhancing the outreach to domain researchers.
RAPIDS is a suite of open source software libraries and APIs gives you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs.In this workshop, we will:
1. Introduce Rapids.ai & GPUs
2. Illustrate why GPUs are critical for machine learning and AI applications
3. Demonstrate common machine learning algorithms such as Regression, KNN,SGD etc. using RAPIDS on the QuSandbox
SGCI - The Science Gateways Community Institute: International Collaboration ...Sandra Gesing
Science gateways - also called virtual research environments or virtual labs - allow science and engineering communities to access shared data, software, computing services, instruments, and other resources specific to their disciplines. The US Science Gateways Community Institute (SGCI), opened in August 2016, provides free resources, services, experts, and ideas for creating and sustaining science gateways. It offers five areas of services to the science gateway developer and user communities: the Incubator, Extended Developer Support, the Scientific Software Collaborative, Community Engagement and Exchange, and Workforce Development. While all these services are available to US-based communities, the Incubator, the Scientific Software Collaborative and the Community Engagement and Exchange serve also the international communities. SGCI aims at supporting beyond borders on international scale with diverse measures and to form and deepen collaborations with partner organizations and coalitions beneficial and/or related to the science gateways community. Research topics are independent of national borders and researchers spread worldwide can benefit from each other’s research results, software, data and from lessons learned — via online materials and publications or at international events. The gateway community has benefitted from this type of exchange for years and one mission of SGCI is to support the international community. This talk will present related work describing the benefits of international collaborations generally, and specifically as they relate to science gateways. It will go into detail regarding SGCI’s ongoing work on an international scale and SGCI's work planned in the near future to foster collaborations under consideration of challenges such as different timezones and long distances between collaborators.
The goal of this talk is to highlight open source opportunities for students especially through an opportunity to earn $5000 through Google Summer of Code program. I will discuss some of the tips on how to engage with open source communities, the befits for contributing. I will provide motivating examples on how students can gain significant experience in contributing challenging distributed systems problems while impacting scientific research. I will specifically focus with a concrete example of Apache Airavata software suite for Web-based science gateways. I will list some example GSoC topics of interest and provide some recipes for success in getting accepted and navigating through success.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
More Related Content
Similar to Qualitative AI : Hoo-ha or Step-Change? CAQDAS webinar
Keynote for Theory and Practice of Digital Libraries 2017
The theory and practice of digital libraries provides a long history of thought around how to manage knowledge ranging from collection development, to cataloging and resource description. These tools were all designed to make knowledge findable and accessible to people. Even technical progress in information retrieval and question answering are all targeted to helping answer a human’s information need.
However, increasingly demand is for data. Data that is needed not for people’s consumption but to drive machines. As an example of this demand, there has been explosive growth in job openings for Data Engineers – professionals who prepare data for machine consumption. In this talk, I overview the information needs of machine intelligence and ask the question: Are our knowledge management techniques applicable for serving this new consumer?
Presenting the following paper “Science Gateways: The Long Road to the Birth of an Institute” by Sandra Gesing, Nancy Wilkins-Diehr, Maytal Dahan, Katherine Lawrence, Michael Zentner, Marlon Pierce, Linda Hayden, Suresh Marru at HICSS50 Conference.
Data Science. Artificial Intelligence. Machine Learning. From startups to banks to the military, there is a growing demand for a new brand of expertise. Despite this need, many analytical job advertisements might as well be titled "Engineers Need Not Apply". Is engineering doomed in this brave new world of big data and deep neural networks? Fear not! In this talk, Dr. Aron Ahmadia, a seasoned data scientist and lead of Capital One's Machine Intelligence team, explains how an engineering education has become even more relevant in today's professional environments with rapidly evolving requirements, technologies, and teams. Learn about how an engineering degree prepares you for a career in data science: what courses to take, which programming languages are relevant, and what experience hiring managers are looking for.
ICRM conference - Workshop on Visual Analysis with Christina Silver.pdfChristina Silver
This workshop discusses currently available CAQDAS tools that facilitate creative data analysis to inform choices between tools and facilitate the planning and doing of analysis using them, and contributes to the further refinement of these tools by gathering needs from participants regarding visual tools. The focus in on analysing visual data and visual analysis techniques and the workshop is organised accordingly. First we discuss tools for analysing any form of still and/or moving images, such as participant- or researcher-generated photographs, drawings, artwork, video, film, screencasts etc. We look at tools for analysing these materials both directly (e.g. marking, annotating and coding the source materials) and indirectly (e.g. generating synchronised and dynamic transcripts or summaries which are then analysed. Second we discuss visual techniques for analysing any form of qualitative material (so any form of text as well as visual materials), focusing on visual annotation, emoji-coding and hyperlinking. Illustrations from several CAQDAS-packages are discussed, including ATLAS.ti, MAXQDA, QDA Miner, NVivo, Quirkos and Transana. The aim of the workshop is twofold: to provide an overview of currently available tools to facilitate informed decision-making between them and creative use of them, and to collate creative researchers’ needs for visual analysis tools that will be shared with CAQDAS developers. The author is in the unique position of having long-standing working relationships with CAQDAS developers whilst maintaining professional independence, and therefore has a direct means of feeding back the insights that are generated in this workshop. Therefore the workshop will also gather participants’ experiences of using other tools and techniques to analyse visual materials and visually analyse qualitative data. Relatively little has changed in the CAQDAS-field regarding visual data analysis for many years (with a few notable exceptions) (see Silver 2019) so this workshop is an opportunity for creative researchers to contribute to changing this.
Enabling Research without Geographical Boundaries via Collaborative Research ...Sandra Gesing
Collaborative research infrastructures on global scale for earth and space sciences face a plethora of challenges from technical implementations to organizational aspects. Science gateways – also known as virtual research environments (VREs) or virtual laboratories - address part of such challenges by providing end-to-end solutions to aid researchers to focus on their specific research questions without the need to become acquainted with the technical details of the complex underlying infrastructures. In general, they provide a single point of entry to tools and data irrespective of organizational boundaries and thus make scientific discoveries easier and faster. The importance of science gateways has been recognized on national as well as on international level by funding bodies and by organizations. For example, the US NSF has just funded a Science Gateways Community Institute, which offers support, consultancy and open accessible software repositories for users and developers; Horizon 2020 provides funding for virtual research environments in Europe, which has led to projects such as VRE4EIC (A Europe-wide Interoperable Virtual Research Environment to Empower Multidisciplinary Research Communities and Accelerate Innovation and Collaboration); national or continental research infrastructures such as XSEDE in the USA, Nectar in Australia or EGI in Europe support the development and uptake of science gateways; the global initiatives International Coalition on Science Gateways, the RDA Virtual Research Environment Interest Group as well as the IEEE Technical Area on Science Gateways have been founded to provide global leadership on future directions for science gateways in general and facilitate awareness for science gateways. This presentation will give an overview on these projects and initiatives aiming at supporting domain researchers and developers with measures for the efficient creation of science gateways, for increasing their usability and sustainability under consideration of the breadth of topics in the context of science gateways. It will go into detail for the challenges the community faces for collaborative research on global scale without geographical boundaries and will provide suggestions for further enhancing the outreach to domain researchers.
RAPIDS is a suite of open source software libraries and APIs gives you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs.In this workshop, we will:
1. Introduce Rapids.ai & GPUs
2. Illustrate why GPUs are critical for machine learning and AI applications
3. Demonstrate common machine learning algorithms such as Regression, KNN,SGD etc. using RAPIDS on the QuSandbox
SGCI - The Science Gateways Community Institute: International Collaboration ...Sandra Gesing
Science gateways - also called virtual research environments or virtual labs - allow science and engineering communities to access shared data, software, computing services, instruments, and other resources specific to their disciplines. The US Science Gateways Community Institute (SGCI), opened in August 2016, provides free resources, services, experts, and ideas for creating and sustaining science gateways. It offers five areas of services to the science gateway developer and user communities: the Incubator, Extended Developer Support, the Scientific Software Collaborative, Community Engagement and Exchange, and Workforce Development. While all these services are available to US-based communities, the Incubator, the Scientific Software Collaborative and the Community Engagement and Exchange serve also the international communities. SGCI aims at supporting beyond borders on international scale with diverse measures and to form and deepen collaborations with partner organizations and coalitions beneficial and/or related to the science gateways community. Research topics are independent of national borders and researchers spread worldwide can benefit from each other’s research results, software, data and from lessons learned — via online materials and publications or at international events. The gateway community has benefitted from this type of exchange for years and one mission of SGCI is to support the international community. This talk will present related work describing the benefits of international collaborations generally, and specifically as they relate to science gateways. It will go into detail regarding SGCI’s ongoing work on an international scale and SGCI's work planned in the near future to foster collaborations under consideration of challenges such as different timezones and long distances between collaborators.
The goal of this talk is to highlight open source opportunities for students especially through an opportunity to earn $5000 through Google Summer of Code program. I will discuss some of the tips on how to engage with open source communities, the befits for contributing. I will provide motivating examples on how students can gain significant experience in contributing challenging distributed systems problems while impacting scientific research. I will specifically focus with a concrete example of Apache Airavata software suite for Web-based science gateways. I will list some example GSoC topics of interest and provide some recipes for success in getting accepted and navigating through success.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
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
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Introduction to AI for Nonprofits with Tapp Network
Qualitative AI : Hoo-ha or Step-Change? CAQDAS webinar
1. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
Christina Silver, PhD, SFHEA, FAcSS
Associate Professor (Teaching), University of Surrey
Director, CAQDAS Networking Project (CNP)
Founder, Qualitative Data Analysis Services (QDAS)
https://linktr.ee/Christina_QDAS
Overview
Opinions
History
Developments
Implications
Discussion
https://www.qdaservices.co.uk/blog/categories/
ai-in-qualitative-research
1
2
2. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
Other events on Qual-AI
• Exploring the future: Qualitative Data Analysis Supported by AI, led
by Dr Susanne Friese, Qeludra, 12 & 13 September (online workshop).
https://www.dortmunder-methoden-werkstatt.de/exploring-the-future-with-ai
• Symposium on AI in Qualitative Analysis. Two-part series, in
partnership with the Social Research Association (SRA). Part 1: 24th
Nov, Part 2: 1st Dec, 2pm London UK time (GMT). FREE online
sessions.
More details soon https://www.linkedin.com/company/caqdas-
networking-project
AI in Qualitative Software (CAQDAS) actually has a
long history
30+ years of CAQDAS – debate since the outset
•See Jackson et al (2018)
3
4
3. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
Qualrus: the first “intelligent CAQDAS”
(no longer available )
• Prof. Ed Brent (University of Missouri & Ideaworks Inc. USA)
https://sociology.missouri.edu/people/brent
• Available from 2002 (15 years into CAQDAS)
• Code suggestions based on patterns in qualitative data
• case-based reasoning, natural language understanding, machine learning
and semantic networks
• suggestions could be accepted or rejected &the program learnt based
on those decisions which were used to inform subsequent suggested
codes
Suggesting codes in Qualrus
5
6
4. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
WordStat & QDA Miner: suite of text
analytics tools https://provalisresearch.com/
• Normand Péladeau & Provalis Research (Canada)
• Unsupervised machine learning tools
• Topic extraction using clustering (WordStat since 1999)
• Clustered coding (QDA Miner since 2011)
• Topic modelling (WordStat since 2014)
• Supervised machine learning tools
• Automatic document classification (WordStat since 2005)
• Query-by-example (QDA Miner since 2007)
• Code similarity searching (QDA Miner since 2011)
Many resources on Provalis tools
https://provalisresearch.com/?s=machine+learning&lang=en
CAQDAS webinar
The black box of sentiment analysis: What's in it, and
how to do it better. Normand Péladeau, President and
CEO of Provalis Research. 19 May 2021.
8
9
5. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
Leximancer: automatic content analysis
and concept mapping https://www.leximancer.com/
• Andrew Smith & Michael Humphreys (University of Queensland
& Leximancer Pty Ltd, Australia)
• Text mining and content analysis software
• Models textual data to produce high-level concept maps
very quickly
• Finds concepts in context – natural language processing
CAQDAS WEBINAR: Mapping patterns of meaning latent in text: the role of objective modelling. Dr Andrew Smith,
developer of Leximancer, Melbourne Australia. 9 November 2022
10
11
6. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
Discovertext: balancing what humans &
computers do best https://discovertext.com/
• Dr Stu Shulman (US National Science foundation funding, Texifter,
LLC, USA)
• Available since 2009 – CAT was predecessor (2007-2020)
• active learning loop between researcher and computer – human choices
customize and improve text processing algorithms.
• initial human coding (undertaken collaboratively by‘peers’) that is adjudicated by
humans, and then used to train a machine classifier that then codes further data
• topic modeling, sentiment detection, duplicate detection, near-duplicate
clustering, and other information retrieval and natural language technologies
Free to academics
CAQDAS WEBINAR: Humans and machines learning together. Stuart W Shulman, PhD, Founder & CEO of Texifter
and inventor of DiscoverText, USA. 14 October 2020.
12
13
7. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
Current developments
Automated transcription
Standalone products
• Numerous options
• Can be formatted for CAQDAS import
CAQDAS products
• NVivo transcribe (separate)
https://lumivero.com/solutions/aggregate/tr
anscription-native-language-processing/
• Quirkos transcribe (integrated)
via https://openai.com/research/whisper
• Transana (integrated)
via https://www.speechmatics.com/
Generative AI
Genres of newer“Qualitative-AI”tools
• Use of chatbot tools alongside other
tools (CAQDAS / manual)
• Integration of generative AI into
established CAQDAS programs
• Development of new Aps designed to
harness generative AI capabilities
Use of Chatbots for QDA
• ChatGPT, Bard, etc…
• Use of LLMs for analysing open-ended
Survey responses (Mellon et al)
https://ssrn.com/abstract=4310154
• ChatGPT as summarization tool
• Philip Adu – precursor to analysis
https://www.youtube.com/watch?v=-GzjQszTe30
• Multiple uses of ChatGPT
• Andreas Muller – generating ideas for generating coding frameworks and
developing code definitions as well as summarization
https://www.youtube.com/watch?v=9yN2bmf6BNE
14
15
8. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
Generative AI integrations into established
CAQDAS programs
• AI‘open’coding
• AI summaries
• AI code suggestions (web version)
https://atlasti.com/atlas-ti-ai-lab-
accelerating-innovation-for-data-analysis
• Summarize coded
segments
• Summarize text passages
• Suggest sub-codes
https://www.maxqda.com/products
/ai-assist
New Aps harnessing generative AI
• Plethora of options
• many developed in business sector that could be adapted for
academic and applied research purposes
• some developed specifically for qualitative research
• CoLoop (developed by Genei.io, London UK) https://www.coloop.ai
• AILYZE (developed by researchers at MIT (Massachusetts Institute of
Technology, USA) https://www.ailyze.com/
• Cody (developed by researchers at the KIT (Karlsruhe Institute of
Technology, Germany).
16
17
9. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
CoLoop https://www.coloop.ai
https://www.qdaservices.co.uk/post/the-ai-copilot-from-coloop-what-s-it-good-for
•Automated transcription
•Auto summarization
•Analysis grid
•AI chat
What are generative-AI tools good for?
https://www.qdaservices.co.uk/blog/categories/ai-in-qualitative-research
Familiarisation – quick overview to inform
• More useful for certain types of data
• More useful when focused on subsets
• Evaluate the role of automatic coding and
summaries for familiarisation
Codebook development - ideas we may miss
• Code suggestions – upfront and as coding
can add rigour
18
19
10. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
Implications
https://www.qdaservices.co.uk/post/navigating-perspectives-on-qualitative-ai-tools-intelligence-and-ethics
Evaluating opinions on Qualitative-AI
•different types of qualitative research
•the relevant units of data for generating insight
•the importance of considering when assistance happens
•the kind of ‘intelligence’we need in qualitative analysis.
•how transparent are the AI tools
•the ethics and potential dangers of AI in qualitative analysis
20
21
11. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
What type of qualitative research
are you doing?
•QR and QDA are not homogenous
• Diversity in purposes, materials, analytic techniques,
outcome requirements
• Understood in terms of methodological spectrum
https://www.youtube.com/watch?v=wFabvZJUymI
22
23
12. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
Relevant units of data for generating insight
•Unit of data =“size of text chunk” (word/sentence/paragraph)
•Used to determine“what’s going on”by the AI
•What is the“coherent”unit in the data you’re using?
•The data units AI tools can handle may not be meaningful
• Especially for‘conversational’ types of material when the size of the
meaningful data unit changes – blanket choices for such data =
unlikely useful
When does assistance happen?
Assistance first, human correction after
• ATLAS.ti and CoLoop
• the program does its thing (whether it’s generating codes or summaries) and then
we, the human interpreter, look at what it’s done, and adjust it as required according
to our needs.
Human coding first, AI summaries after
• MAXQDA
• initially implemented it’s AI Assist tool with the AI summarizing what has already
been coded
Oscillating sequencing
• DiscoverText
• Teams of humans code and their coding is adjudicated. Then the machine does it’s
thing, looking at the coding that’s been done by the humans, and using that to code
further data.
• This is then reviewed by humans, adjudicated, and sent back to the machine, which
learns from the human, and so on.
24
25
13. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
What kind of“intelligence”do we want?
•Types of intelligence…
•“interpretive”intelligence…relevant along the
methodological spectrum
•replacement or Assistance (ref CAQDAS)
How transparent are AI tools?
• What’s under the hood?
• How AI is implemented
• How it works
• Questions to ask yourself
• 3rd party or bespoke tools?
• Do developers explain clearly and in detail how they work?
• How much input do you have? Can you teach the tool and
continually adjust it?
• Can you use your RQs to inform/focus the AI?
26
27
14. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
Ethics & potential dangers of AI in QDA
Technical
• How are the language models that underlie AI developed?
• Model collapse and the complete loss of interpretation
• Machines taking over? The risk of qualitative-deepfake
Methodological
• Do you have the right to upload participant data?
• Our responsibilities to our research participants
• Is it valid if you use AI?
Don’t forget other events
• Exploring the future: Qualitative Data Analysis Supported by
AI, led by Dr Susanne Friese, Qeludra, 12 & 13 September
(online workshop). https://www.dortmunder-methoden-
werkstatt.de/exploring-the-future-with-ai
• Symposium on AI in Qualitative Analysis. Two-part series, in
partnership with the Social Research Association (SRA). Part 1:
24th Nov, Part 2: 1st Dec, 2pm London UK time (GMT). FREE
online sessions.
More details soon https://www.linkedin.com/company/caqdas-
networking-project
28
30
15. CAQDAS Networking Project webinar 01/09/2023
Christina Silver, PhD, Associate Professor (Teaching)
Dept Sociology, University of Surrey c.silver@surrey.ac.uk
References
• Jackson, K., Paulus, T., & Woolf, N. H. (2018). The Walking Dead Genealogy: Unsubstantiated Criticisms of
Qualitative Data Analysis Software (QDAS) & the Failure to Put Them to Rest. The Qualitative Report, 23(13), 74-91
https://nsuworks.nova.edu/tqr/vol23/iss13/6/?utm_source=nsuworks.nova.edu%2Ftqr%2Fvol23%2Fiss13%2F6&ut
m_medium=PDF&utm_campaign=PDFCoverPages
• Lewins A & Silver C (2020) Leximancer: Distinguishing features. CAQDAS Networking Project Software Review.
https://www.surrey.ac.uk/sites/default/files/2020-12/cnp-leximancer-5-review.pdf
• Mellon, J, Bailey, J, Scott, R, Breckwoldt, J, Miori, M & Schmedeman, P, Do AIs Know What the Most Important Issue
is? Using Language Models to Code Open-Text Social Survey Responses At Scale (August 27, 2023). Available at
SSRN: https://ssrn.com/abstract=4310154
• Rietz T & Maedche A (2021) Cody: An AI-Based System to Semi-Automate Coding for Qualitative Research.
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing
Machinery https://dl.acm.org/doi/abs/10.1145/3411764.3445591
• Silver, C & Lewins A (2010) Qualrus: Distinguishing features and functions. CAQDAS Networking Project Software
Review. https://www.surrey.ac.uk/sites/default/files/QualrusdistinguishingfeaturesFINAL.pdf
• Silver C (2019) DiscoverText: Distinguishing features. CAQDAS Networking Project Software Review
https://www.surrey.ac.uk/sites/default/files/2019-12/discovertext-distinguishing-features.pdf
• Silver C & Lewins A (2020) QDA Miner: Distinguishing features. CAQDAS Networking Project Software Review.
https://www.surrey.ac.uk/sites/default/files/2020-11/qda-miner-distinguishing-features.pdf
31