cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17870/bathspa.14252906.v1
title: Conversational AI (Technology that Talks) and Speculative Design Activism - The Infinite Guide

description: <b>The website referenced in this item is located externally and can be viewed in full by accessing via the following link: https://theinfinite.guide/ </b><br><br>Conversational AI is a research project spanning three design activist projects, ‘The Infinite Guide’, ‘Women Reclaiming AI’, and ‘Looking for The Cloud’. These projects investigate how conversational AI is affecting human relationships with technology, the limitations of poor diversity in AI development teams, the lack of public understanding of AI and its environmental impact, and the ethical implications of the commercial pursuit of humanising AI.<br><br>The Infinite Guide is a speculative art work and research project, powered by a conversational Artificial Intelligence, (a natural language human-computer interface). It took place simultaneously online, in FACT Liverpool and in KARST Plymouth. The project aims to create a dialogue between people using AI systems, people designing these systems and the systems themselves to critically inform their shared futures.<br><br><b>The online and physical exhibitions documented in this item (through the photographs and video file for the physical exhibition and website for the online exhibition) forms one of the components of the output for this project. The rest of the documentation in this item is contextualising information.</b><br><br><b>This item contains, an overview document that serves as a description of the project and the prototyping workshops in FACT as part of the Liverpool Biennale, photographs from The Infinite Guide exhibition at KARST, Plymouth, a short film documenting The Infinite Guide exhibition at KARST, Plymouth and a website documenting the online exhibition of The Infinite Guide.<br><br>Overview document (including photographs) courtesy of Coral Manton and Birgitte Aga.<br><br>Photographs courtesy of Rod Gomzalez and Alan Stewart. <br><br>Video courtesy of Coral Manton and Birgitte Aga.</b><b>Used with permission.<br><br>The work is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law<br></b><b><br></b><br>
DOI: 10.17870/bathspa.14252915
title: Conversational AI (Technology that Talks) and Speculative Design Activism - Women Reclaiming AI

description: <b>The website referenced in this item is hosted externally and available to view in full by accessing the following link: https://womenreclaimingai.com/</b> <br><br>Conversational AI is a research project spanning three design activist projects, ‘The Infinite Guide’, ‘Women Reclaiming AI’, and ‘Looking for The Cloud’. These projects investigate how conversational AI is affecting human relationships with technology, the limitations of poor diversity in AI development teams, the lack of public understanding of AI and its environmental impact, and the ethical implications of the commercial pursuit of humanising AI.<br><br>Women Reclaiming AI (WRAI) is a feminist voice assistant and expanding piece of design activism authored entirely by women. The voice assistant is programmed through participatory workshops by a growing community of 100+ women. Through creating a platform for collective writing and editing the project co-creates an AI personality that challenges gender roles.<br><br><b>The voice assistant/chatbot documented in this item (through the ARS electronica exhibition documentation, website and video) forms one of the components of the output for this project. The rest of the documentation in this item is contextualising information.</b><br><br><b>This item contains a document containing description of the project, a photograph of the Women Reclaiming AI exhibition at ARS Electronica 2019, video evidence of Women Reclaiming AI exhibit testing at ARS Electronica 2019, a short video showing the voice-enabled chatbot/voice assistant in use by project community participants, images of WRAI workshops, a PDF image of the website, and an animated GIF of a GAN generated by the community and of women the community admires. </b><br><br>The visual representation of WRAI uses GAN frameworks to generate purposefully disorderly images, made of a dataset of images of women, from our community and women the community admires. The GAN is made in protest of the averaging out of women’s experiences and the non-inclusive depiction of women by unaccountable development teams who are reinforcing negative gender stereotypes.<br>A GAN is a Generative Adversarial Network. It is an AI algorithmic architecture that uses two neural networks operating against each other to generate a new, synthetic instance of the data fed to them. In this case we fed the GAN a dataset of images of women, and the GAN then created new instances of the images that we then arranged in a grid and animated.±<br><br><b>Overview document courtesy of Coral Manton and Birgitte Aga.</b><br><br><b>Photos Courtesy of </b><b>Jürgen Grünwald, Coral Manton and Birgitte Aga.</b><b><br></b><b>Used with permission.</b><b><br>The work is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law. </b><br><br><br><br>
DOI: 10.17870/bathspa.14252915.v1
title: Conversational AI (Technology that Talks) and Speculative Design Activism - Women Reclaiming AI

description: <b>The website referenced in this item is hosted externally and available to view in full by accessing the following link: https://womenreclaimingai.com/</b> <br><br>Conversational AI is a research project spanning three design activist projects, ‘The Infinite Guide’, ‘Women Reclaiming AI’, and ‘Looking for The Cloud’. These projects investigate how conversational AI is affecting human relationships with technology, the limitations of poor diversity in AI development teams, the lack of public understanding of AI and its environmental impact, and the ethical implications of the commercial pursuit of humanising AI.<br><br>Women Reclaiming AI (WRAI) is a feminist voice assistant and expanding piece of design activism authored entirely by women. The voice assistant is programmed through participatory workshops by a growing community of 100+ women. Through creating a platform for collective writing and editing the project co-creates an AI personality that challenges gender roles.<br><br><b>The voice assistant/chatbot documented in this item (through the ARS electronica exhibition documentation, website and video) forms one of the components of the output for this project. The rest of the documentation in this item is contextualising information.</b><br><br><b>This item contains a document containing description of the project, a photograph of the Women Reclaiming AI exhibition at ARS Electronica 2019, video evidence of Women Reclaiming AI exhibit testing at ARS Electronica 2019, a short video showing the voice-enabled chatbot/voice assistant in use by project community participants, images of WRAI workshops, a PDF image of the website, and an animated GIF of a GAN generated by the community and of women the community admires. </b><br><br>The visual representation of WRAI uses GAN frameworks to generate purposefully disorderly images, made of a dataset of images of women, from our community and women the community admires. The GAN is made in protest of the averaging out of women’s experiences and the non-inclusive depiction of women by unaccountable development teams who are reinforcing negative gender stereotypes.<br>A GAN is a Generative Adversarial Network. It is an AI algorithmic architecture that uses two neural networks operating against each other to generate a new, synthetic instance of the data fed to them. In this case we fed the GAN a dataset of images of women, and the GAN then created new instances of the images that we then arranged in a grid and animated.±<br><br><b>Overview document courtesy of Coral Manton and Birgitte Aga.</b><br><br><b>Photos Courtesy of </b><b>Jürgen Grünwald, Coral Manton and Birgitte Aga.</b><b><br></b><b>Used with permission.</b><b><br>The work is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law. </b><br><br><br><br>
DOI: 10.17870/bathspa.14252921.v1
title: Conversational AI (Technology that Talks) and Speculative Design Activism - Looking for the Cloud

description: Conversational AI is a research project spanning three design activist projects, ‘The Infinite Guide’, ‘Women Reclaiming AI’, and ‘Looking for The Cloud’. These projects investigate how conversational AI is affecting human relationships with technology, the limitations of poor diversity in AI development teams, the lack of public understanding of AI and its environmental impact, and the ethical implications of the commercial pursuit of humanising AI.<br><br>Looking For The Cloud aims to make visible the processes that are powering innovation in AI and the technology behind the Internet. Using terminology like 'The Cloud' stops users thinking about the growing amount of energy the Internet uses and its environmental sustainability. This project aims to engage young people in discussion on these issues through using conversational AI (chatbots) and children's fiction. Looking For The Cloud was developed in partnership with The Eden Project and a new feminist design activist community, The RE+Collective. <i><br></i><b>The book prototype pages and chatbots documented in this item (through the PDF of the website design and example images of the chatbots) forms one of the components of the output for this project. The rest of the documentation in this item is contextualising information.</b><i><br></i><br><b>This item contains an overview document with a description of the project, a PDF of the website design, example images of the online project chatbots and a video giving an overview of the research project.<br><br>Overview document, PDF and Video courtesy of Coral Manton and Birgitte Aga.</b><b><br></b><b>Used with permission.<br><br>The work is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law. <br></b><br>
DOI: 10.17870/bathspa.14252921
title: Conversational AI (Technology that Talks) and Speculative Design Activism - Looking for the Cloud

description: Conversational AI is a research project spanning three design activist projects, ‘The Infinite Guide’, ‘Women Reclaiming AI’, and ‘Looking for The Cloud’. These projects investigate how conversational AI is affecting human relationships with technology, the limitations of poor diversity in AI development teams, the lack of public understanding of AI and its environmental impact, and the ethical implications of the commercial pursuit of humanising AI.<br><br>Looking For The Cloud aims to make visible the processes that are powering innovation in AI and the technology behind the Internet. Using terminology like 'The Cloud' stops users thinking about the growing amount of energy the Internet uses and its environmental sustainability. This project aims to engage young people in discussion on these issues through using conversational AI (chatbots) and children's fiction. Looking For The Cloud was developed in partnership with The Eden Project and a new feminist design activist community, The RE+Collective. <i><br></i><b>The book prototype pages and chatbots documented in this item (through the PDF of the website design and example images of the chatbots) forms one of the components of the output for this project. The rest of the documentation in this item is contextualising information.</b><i><br></i><br><b>This item contains an overview document with a description of the project, a PDF of the website design, example images of the online project chatbots and a video giving an overview of the research project.<br><br>Overview document, PDF and Video courtesy of Coral Manton and Birgitte Aga.</b><b><br></b><b>Used with permission.<br><br>The work is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law. <br></b><br>
DOI: 10.6084/m9.figshare.21732849
title: Confidently Comparing Estimates with the c-value

description: Modern statistics provides an ever-expanding toolkit for estimating unknown parameters. Consequently, applied statisticians frequently face a difficult decision: retain a parameter estimate from a familiar method or replace it with an estimate from a newer or more complex one. While it is traditional to compare estimates using risk, such comparisons are rarely conclusive in realistic settings. In response, we propose the “c-value” as a measure of confidence that a new estimate achieves smaller loss than an old estimate on a given dataset. We show that it is unlikely that a large c-value coincides with a larger loss for the new estimate. Therefore, just as a small <i>p</i>-value supports rejecting a null hypothesis, a large c-value supports using a new estimate in place of the old. For a wide class of problems and estimates, we show how to compute a c-value by first constructing a data-dependent high-probability lower bound on the difference in loss. The c-value is frequentist in nature, but we show that it can provide validation of shrinkage estimates derived from Bayesian models in real data applications involving hierarchical models and Gaussian processes. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.21732849.v1
title: Confidently Comparing Estimates with the c-value

description: Modern statistics provides an ever-expanding toolkit for estimating unknown parameters. Consequently, applied statisticians frequently face a difficult decision: retain a parameter estimate from a familiar method or replace it with an estimate from a newer or more complex one. While it is traditional to compare estimates using risk, such comparisons are rarely conclusive in realistic settings. In response, we propose the “c-value” as a measure of confidence that a new estimate achieves smaller loss than an old estimate on a given dataset. We show that it is unlikely that a large c-value coincides with a larger loss for the new estimate. Therefore, just as a small <i>p</i>-value supports rejecting a null hypothesis, a large c-value supports using a new estimate in place of the old. For a wide class of problems and estimates, we show how to compute a c-value by first constructing a data-dependent high-probability lower bound on the difference in loss. The c-value is frequentist in nature, but we show that it can provide validation of shrinkage estimates derived from Bayesian models in real data applications involving hierarchical models and Gaussian processes. Supplementary materials for this article are available online.
DOI: 10.5281/zenodo.7673796
title: Precessing binary-black-hole numerical relativity catalogue (minimal data release)

description: This page contains the minimal data release associated with the catalogue presented in A catalogue of precessing black-hole-binary numerical-relativity simulations. This catalogue contains 80 single-spin precessing black-hole-binary configurations. The content of the data release is described here, along with instructions on how to parse the data.
description: This catalogue has been produced using the resources provided by the DiRAC@Durham facility managed by the Institute for Computational Cosmology on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The equipment was funded by BEIS capital funding via STFC capital grants ST/P002293/1, ST/R002371/1 and ST/S002502/1, Durham University and STFC operations grant ST/R000832/1. DiRAC is part of the National e-Infrastructure. Additionally, this research was undertaken using the supercomputing facilities at Cardiff University operated by Advanced Research Computing at Cardiff (ARCCA) on behalf of the Cardiff Supercomputing Facility and the HPC Wales and Supercomputing Wales (SCW) projects. We acknowledge the support of the latter, which is part-funded by the European Regional Development Fund (ERDF) via the Welsh Government. This work was also supported in part by Oracle Cloud credits and related resources provided by the Oracle for Research program.
DOI: 10.5281/zenodo.7673795
title: Precessing binary-black-hole numerical relativity catalogue (minimal data release)

description: This page contains the minimal data release associated with the catalogue presented in A catalogue of precessing black-hole-binary numerical-relativity simulations. This catalogue contains 80 single-spin precessing black-hole-binary configurations. The content of the data release is described here, along with instructions on how to parse the data.
description: This catalogue has been produced using the resources provided by the DiRAC@Durham facility managed by the Institute for Computational Cosmology on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The equipment was funded by BEIS capital funding via STFC capital grants ST/P002293/1, ST/R002371/1 and ST/S002502/1, Durham University and STFC operations grant ST/R000832/1. DiRAC is part of the National e-Infrastructure. Additionally, this research was undertaken using the supercomputing facilities at Cardiff University operated by Advanced Research Computing at Cardiff (ARCCA) on behalf of the Cardiff Supercomputing Facility and the HPC Wales and Supercomputing Wales (SCW) projects. We acknowledge the support of the latter, which is part-funded by the European Regional Development Fund (ERDF) via the Welsh Government. This work was also supported in part by Oracle Cloud credits and related resources provided by the Oracle for Research program.
DOI: 10.5281/zenodo.7677296
title: Precessing binary-black-hole numerical relativity catalogue (complete data release)

description: This page contains the minimal data release associated with the catalogue presented in A catalogue of precessing black-hole-binary numerical-relativity simulations. This catalogue contains 80 single-spin precessing black-hole-binary configurations. The content of the data release is described here, along with instructions on how to parse the data.
description: This catalogue has been produced using the resources provided by the DiRAC@Durham facility managed by the Institute for Computational Cosmology on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The equipment was funded by BEIS capital funding via STFC capital grants ST/P002293/1, ST/R002371/1 and ST/S002502/1, Durham University and STFC operations grant ST/R000832/1. DiRAC is part of the National e-Infrastructure. Additionally, this research was undertaken using the supercomputing facilities at Cardiff University operated by Advanced Research Computing at Cardiff (ARCCA) on behalf of the Cardiff Supercomputing Facility and the HPC Wales and Supercomputing Wales (SCW) projects. We acknowledge the support of the latter, which is part-funded by the European Regional Development Fund (ERDF) via the Welsh Government. This work was also supported in part by Oracle Cloud credits and related resources provided by the Oracle for Research program.
DOI: 10.5281/zenodo.7677297
title: Precessing binary-black-hole numerical relativity catalogue (complete data release)

description: This page contains the minimal data release associated with the catalogue presented in A catalogue of precessing black-hole-binary numerical-relativity simulations. This catalogue contains 80 single-spin precessing black-hole-binary configurations. The content of the data release is described here, along with instructions on how to parse the data.
description: This catalogue has been produced using the resources provided by the DiRAC@Durham facility managed by the Institute for Computational Cosmology on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The equipment was funded by BEIS capital funding via STFC capital grants ST/P002293/1, ST/R002371/1 and ST/S002502/1, Durham University and STFC operations grant ST/R000832/1. DiRAC is part of the National e-Infrastructure. Additionally, this research was undertaken using the supercomputing facilities at Cardiff University operated by Advanced Research Computing at Cardiff (ARCCA) on behalf of the Cardiff Supercomputing Facility and the HPC Wales and Supercomputing Wales (SCW) projects. We acknowledge the support of the latter, which is part-funded by the European Regional Development Fund (ERDF) via the Welsh Government. This work was also supported in part by Oracle Cloud credits and related resources provided by the Oracle for Research program.
DOI: 10.6084/m9.figshare.21200971.v2
title: Socioeconomic Impact of COVID-19 during three phases (Data set and the Questionnaire)

description: Provides in-depth data regarding diverse socio-economic impacts, mobility, and human behavioral changes due to COVID-19 across three identified pandemic phases. Data was gathered through a field survey. Useful for cross-impact analysis across time which depicts the evolution of socio-economic, mobility, and human behavioral changes over pandemic periods. This is also useful for policy decisions and implications. Further, this contains Survey instrument which was developed for the data collection under AI4COVID project (website: ai4covind.lk ) in Sri Lanka
DOI: 10.26300/9zhs-vf33
title: Public Humanities Course Syllabi Archive
DOI: 10.6084/m9.figshare.21200971.v3
title: Socioeconomic Impact of COVID-19 during three phases (Data set and the Questionnaire)

description: Provides in-depth data regarding diverse socio-economic impacts, mobility, and human behavioral changes due to COVID-19 across three identified pandemic phases. Data was gathered through a field survey. Useful for cross-impact analysis across time which depicts the evolution of socio-economic, mobility, and human behavioral changes over pandemic periods. This is also useful for policy decisions and implications. Further, this contains Survey instrument which was developed for the data collection under AI4COVID project (website: ai4covind.lk ) in Sri Lanka
DOI: 10.6084/m9.figshare.22233196
title: Jiulong river dataset

description: Data for validation
DOI: 10.6084/m9.figshare.22233196.v1
title: Jiulong river dataset

description: Data for validation
DOI: 10.25345/c5416t86s
title: MassIVE MSV000091435 - Extrato_guarana_Josiel_fev2023
title: The guarana extracts were submitted to liquid chromatography analysis coupled with mass spectrometry at the Analytical Center of the Thematic Laboratory of Chemistry of Natural Products-CALTQPN at INPA-Brazil. The extract samples obtained were prepared by weighing them in Eppendorf tubes and solubilizing them in a mixture of MeOH (0.1% formic acid) and 0.1% formic acid solution, in a 1:1 ratio, having the final concentration of 1 mg/mL. Finally, the tubes were centrifuged and transferred to vials for further analysis. The equipment used was a Liquid Chromatograph (Shimadzu, Japan) coupled to a high-resolution Time-of-flight mass spectrometer (MicroTOF QII model, Bruker Daltonics, Bremen, Germany), with an ESI-type ionization source in negative mode. For analysis, a Luna 5u PFP2 100A column (15 cm x 2.00 mm) was used and the mobile phases with the solvents: A: 0.1% formic acid solution. MS/MS parameters: capillary: 3500 volts; Scan: 120-1200m/z; Set nebulizer: 2Bar psi; Set dry Heater: 180 Celsius; Set dry gas: 9.0 L/ min.; Rolling Averages: 1cts.
DOI: 10.24381/cds.2f9be611
title: Seasonal forecast monthly averages of ocean variables
DOI: 10.5281/zenodo.7707925
title: Al-Cu-Li alloy SPED data

description: 100x100 SPED dataset of theta prime, T1 and Al phases. Convergence semi angle ~1.13mrad, precession angle ~1deg, precession frequency 100Hz. Medipix MerlinEM detector. Pixel exposure time 10ms, step size ~4.6nm.
DOI: 10.5281/zenodo.7707924
title: Al-Cu-Li alloy SPED data

description: 100x100 SPED dataset of theta prime, T1 and Al phases. Convergence semi angle ~1.13mrad, precession angle ~1deg, precession frequency 100Hz. Medipix MerlinEM detector. Pixel exposure time 10ms, step size ~4.6nm.