62 datasets found
  1. f

    Participant demographics.

    • plos.figshare.com
    xls
    Updated Jul 7, 2023
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    Dominic Charles Henri; Kirra Coates; Katharine Hubbard (2023). Participant demographics. [Dataset]. http://doi.org/10.1371/journal.pone.0271010.t002
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    xlsAvailable download formats
    Dataset updated
    Jul 7, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Dominic Charles Henri; Kirra Coates; Katharine Hubbard
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The lack of diversity in Science, Technology, Engineering, and Mathematics (STEM) is a significant issue for the sector. Many organisations and educators have identified lack of representation of historically marginalised groups within teaching materials as a potential barrier to students feeling that a Science, Technology, Engineering, and Mathematics (STEM) career is something that they can aspire to. A key barrier to addressing the issue is providing accessible and effective evidence-based approaches for educators to implement. In this study, we explore the potential for adapting presentation slides within lectures to ‘humanise’ the scientists involved, presenting their full names and photographs alongside a Harvard style reference. The intervention stems from an initial assumption that many formal scientific referencing systems are demographic-neutral and exacerbate prevailing perceptions that STEM is not diverse. We adopt a questionnaire based methodology surveying 161 bioscience undergraduates and postgraduates at a UK civic university. We first establish that students project assumptions about the gender, location, and ethnicity of the author of a hypothetical reference, with over 50% of students assuming they are male and Western. We then explore what students think of the humanised slide design, concluding that many students see it as good pedagogical practice with some students positively changing their perceptions about diversity in science. We were unable to compare responses by participant ethnic group, but find preliminary evidence that female and non-binary students are more likely to see this as good pedagogical practice, perhaps reflecting white male fragility in being exposed to initiatives designed to highlight diversity. We conclude that humanised powerpoint slides are a potentially effective tool to highlight diversity of scientists within existing research-led teaching, but highlight that this is only a small intervention that needs to sit alongside more substantive work to address the lack of diversity in STEM.

  2. f

    Participant demographics for Experiment 1.

    • plos.figshare.com
    xls
    Updated Jun 17, 2023
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    Samuel T. Moulton; Selen Türkay; Stephen M. Kosslyn (2023). Participant demographics for Experiment 1. [Dataset]. http://doi.org/10.1371/journal.pone.0178774.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 17, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Samuel T. Moulton; Selen Türkay; Stephen M. Kosslyn
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Participant demographics for Experiment 1.

  3. Plastic Packaging Tax (PPT) Statistics

    • gov.uk
    Updated Aug 15, 2024
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    HM Revenue & Customs (2024). Plastic Packaging Tax (PPT) Statistics [Dataset]. https://www.gov.uk/government/statistics/plastic-packaging-tax-ppt-statistics
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    Dataset updated
    Aug 15, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    This publication presents an overview of Plastic Packaging Tax (PPT) statistics, including registered population, tonnages of declared plastic packaging and receipts data.

    Further details for this statistical release, including data suitability and coverage, are included within the Quality report: Plastic Packaging Tax (PPT).

    https://webarchive.nationalarchives.gov.uk/ukgwa/20240730222709/https://www.gov.uk/government/statistics/plastic-packaging-tax-ppt-statistics" class="govuk-link">Archive versions of the Plastic Packaging Tax statistics published on GOV.UK are available via the UK Government Web Archive, from the National Archives.

  4. a

    2024-06 SC York – Statistics (PPT).JPG

    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC York – Statistics (PPT).JPG [Dataset]. https://south-carolina-broadband-scors.hub.arcgis.com/documents/78e22c4e5eda400c89a455e86e54561e
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    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  5. s

    2024-06 SC Marlboro – Statistics (PPT).JPG

    • scdigitaldrive.org
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Marlboro – Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/585db2221d484183a23b895b19a8a280
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    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  6. a

    2024-06 SC Cherokee – Statistics (PPT).JPG

    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Cherokee – Statistics (PPT).JPG [Dataset]. https://south-carolina-broadband-scors.hub.arcgis.com/documents/1d50c794665e42f4ad2bc9d2bda50f64
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    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  7. s

    2024-06 SC Allendale – Statistics (PPT).JPG

    • scdigitaldrive.org
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Allendale – Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/c5797d751c89444c9ef0fcad8162bf98
    Explore at:
    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  8. i

    Grant Giving Statistics for Powerpoint Church

    • instrumentl.com
    Updated Aug 15, 2024
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    (2024). Grant Giving Statistics for Powerpoint Church [Dataset]. https://www.instrumentl.com/990-report/powerpoint-church
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    Dataset updated
    Aug 15, 2024
    Description

    Financial overview and grant giving statistics of Powerpoint Church

  9. s

    2024-06 SC Clarendon – Statistics (PPT).JPG

    • scdigitaldrive.org
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Clarendon – Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/1db554605bf0444b8ab6bd7fbdc555eb
    Explore at:
    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  10. s

    2024-06 SC Orangeburg – Statistics (PPT).JPG

    • scdigitaldrive.org
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Orangeburg – Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/5af8ccb1c07b4feb9533e45c0c881994
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    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Area covered
    Orangeburg
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  11. s

    2024-06 SC Kershaw – Statistics (PPT).JPG

    • scdigitaldrive.org
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Kershaw – Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/3a65f8d5aea44d60be3be386ac235436
    Explore at:
    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  12. f

    Descriptive and inferential statistics for Experiment 1 audience rankings.

    • plos.figshare.com
    xls
    Updated Jun 7, 2023
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    Samuel T. Moulton; Selen Türkay; Stephen M. Kosslyn (2023). Descriptive and inferential statistics for Experiment 1 audience rankings. [Dataset]. http://doi.org/10.1371/journal.pone.0178774.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Samuel T. Moulton; Selen Türkay; Stephen M. Kosslyn
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Descriptive and inferential statistics for Experiment 1 audience rankings.

  13. s

    2024-06 SC Anderson – Statistics (PPT).JPG

    • scdigitaldrive.org
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Anderson – Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/b4371c8239d14c2488d3bafaad0617d1
    Explore at:
    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  14. d

    The University of Trinidad and Tobago (UTT) - Applicant Demographic Overview...

    • data.gov.tt
    Updated Mar 17, 2023
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    (2023). The University of Trinidad and Tobago (UTT) - Applicant Demographic Overview [Dataset]. https://data.gov.tt/dataset/the-university-of-trinidad-and-tobago-utt-applicant-demographic-overview
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    Dataset updated
    Mar 17, 2023
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Trinidad and Tobago
    Description

    The University of Trinidad and Tobago (UTT) has published its applicant demographic overview by gender, campus, programme, programme level, age group, and academic area using tableau software. The publication is part of UTT's Institutional Data Profile (IDP) and allows the data visualisation to be downloaded in an image, PDF and PowerPoint format. You can also filter the dashboard as well as share the link. UTT Applicant Demographic Overview: https://utt.edu.tt/?wk=62&page_key=1124

  15. a

    2024-06 SC Senate District 02 - Statistics (PPT).JPG

    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Sep 4, 2024
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    MichaelBorowski (2024). 2024-06 SC Senate District 02 - Statistics (PPT).JPG [Dataset]. https://south-carolina-broadband-scors.hub.arcgis.com/documents/206787aa26d94521a0b7b8292970d7d5
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    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    MichaelBorowski
    Area covered
    South Carolina
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  16. a

    Graphical library of population dynamics in 104 towns and villages of...

    • arcticdata.io
    Updated Apr 15, 2024
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    Lawrence Hamilton (2024). Graphical library of population dynamics in 104 towns and villages of Arctic/Subarctic Alaska, 1990-2022. [Dataset]. http://doi.org/10.18739/A25H7BW29
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    Dataset updated
    Apr 15, 2024
    Dataset provided by
    Arctic Data Center
    Authors
    Lawrence Hamilton
    Time period covered
    Jan 1, 1990 - Jan 1, 2022
    Area covered
    Description

    These files contain individual graphs tracking population dynamics in 104 individual Arctic/Subarctic Alaska communities, over the years from 1990 to 2022. The numerical data underlying these graphs have been archived separately with the Arctic Data Center: Hamilton, L.C. 2023. “Annual population, natural increase and net migration for rural Alaska communities 1990–2022.” Dataset archived with the NSF Arctic Data Center. https://arcticdata.io/catalog/view/doi:10.18739/A28K74Z2B The purpose of this "graphical library" is to provide visualizations of 1990-2022 population change for each town or village in a format that is simple to download, share, and apply to other purposes such as planning, proposals or case studies. The files (identical pdf and PowerPoint versions) include a brief rationale, illustration of the numerical database organization, description of sources, citations and links to published articles, and explanation of the graphical style. These notes are followed by 104 individual graphs, one per slide, organized by boroughs or census areas.

  17. s

    2024-06 SC House District 16 - Statistics (PPT).JPG

    • scdigitaldrive.org
    Updated Sep 4, 2024
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    MichaelBorowski (2024). 2024-06 SC House District 16 - Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/items/806679fb90b74120b89d37714803484c
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    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    MichaelBorowski
    Area covered
    South Carolina
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  18. A

    AI PPT Generation Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 28, 2025
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    Data Insights Market (2025). AI PPT Generation Software Report [Dataset]. https://www.datainsightsmarket.com/reports/ai-ppt-generation-software-1991394
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    ppt, pdf, docAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The AI-powered presentation generation software market is experiencing rapid growth, driven by increasing demand for efficient and visually appealing presentations across various sectors. The market, currently valued at approximately $500 million in 2025 (a reasonable estimate based on the typical size of emerging software markets with similar technological advancements), is projected to exhibit a Compound Annual Growth Rate (CAGR) of 30% from 2025 to 2033. This robust growth is fueled by several key factors. Firstly, businesses are constantly seeking ways to improve productivity and reduce the time spent on creating presentations. AI tools offer significant time savings by automating many aspects of the presentation design process, from generating outlines and content to creating visually engaging slides. Secondly, the increasing sophistication of AI algorithms allows for the creation of highly customized and personalized presentations tailored to specific audiences. This is particularly relevant in sales, marketing, and education, where effective communication is critical. Finally, the growing availability of user-friendly AI presentation software is making this technology accessible to a wider range of users, regardless of their technical expertise. However, challenges remain. The market is still relatively nascent, with several companies vying for market share. This competitive landscape could lead to price wars and pressure on profit margins. Furthermore, concerns regarding data security and the potential for AI-generated content to lack originality or authenticity represent barriers to broader adoption. The integration of AI presentation software with existing workflow tools and the development of more advanced features, such as real-time collaboration and personalized content suggestions, will be crucial in overcoming these challenges and driving further market penetration. Significant growth is anticipated in North America and Europe, with emerging markets in Asia-Pacific following suit. The segmentation of the market reflects varying levels of functionality, pricing strategies, and target user demographics. Companies like Microsoft Copilot, Decktopus AI, and others are leading the innovation, offering diverse features and catering to specific needs.

  19. f

    Demographic characteristics and anthropometric data of all participants.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Gourav Banerjee; Michelle Briggs; Mark I. Johnson (2023). Demographic characteristics and anthropometric data of all participants. [Dataset]. http://doi.org/10.1371/journal.pone.0226109.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Gourav Banerjee; Michelle Briggs; Mark I. Johnson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Demographic characteristics and anthropometric data of all participants.

  20. e

    2015 - Survey - National opinion trends

    • data.europa.eu
    • opalpro.cs.upb.de
    pdf
    Updated May 9, 2016
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    European Parliament (2016). 2015 - Survey - National opinion trends [Dataset]. https://data.europa.eu/data/datasets/2015-national-opinion-trends?locale=ro
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    pdfAvailable download formats
    Dataset updated
    May 9, 2016
    Dataset authored and provided by
    European Parliament
    License

    http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj

    Description

    A national analysis has been carried out as a follow-up to the exploratory study ‘Major changes in European public opinion with regard to the EU’, which showed how public opinion had changed in the 28 Member States since 1973.

    The new national analysis is made up of three Powerpoint presentations that show how public opinion in each of the Member States has changed since 2007.

    1. The first presentation, ‘national public opinion trends’, analyses how the answers to key Eurobarometer questions changed in each Member State between 2007 and 2015, in particular: The image of the EP, the role of the EP and the membership of the EU.

    2. The second presentation, which also focuses on individual Member States, is devoted to socio demographic trends. It shows the main differences between the EU average and the national results for the key questions referred to above and for others. It breaks trends down by gender, age and socio-professional category.

    3. The third presentation deals more specifically with topics relating to ‘identity and EU citizenship’. The changes in public opinion between 2007 and 2015 are dealt with on a national basis and compared with the European average. On a socio-demographic level, a specific analysis was made of the differences between age groups.

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Dominic Charles Henri; Kirra Coates; Katharine Hubbard (2023). Participant demographics. [Dataset]. http://doi.org/10.1371/journal.pone.0271010.t002

Participant demographics.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jul 7, 2023
Dataset provided by
PLOS ONE
Authors
Dominic Charles Henri; Kirra Coates; Katharine Hubbard
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The lack of diversity in Science, Technology, Engineering, and Mathematics (STEM) is a significant issue for the sector. Many organisations and educators have identified lack of representation of historically marginalised groups within teaching materials as a potential barrier to students feeling that a Science, Technology, Engineering, and Mathematics (STEM) career is something that they can aspire to. A key barrier to addressing the issue is providing accessible and effective evidence-based approaches for educators to implement. In this study, we explore the potential for adapting presentation slides within lectures to ‘humanise’ the scientists involved, presenting their full names and photographs alongside a Harvard style reference. The intervention stems from an initial assumption that many formal scientific referencing systems are demographic-neutral and exacerbate prevailing perceptions that STEM is not diverse. We adopt a questionnaire based methodology surveying 161 bioscience undergraduates and postgraduates at a UK civic university. We first establish that students project assumptions about the gender, location, and ethnicity of the author of a hypothetical reference, with over 50% of students assuming they are male and Western. We then explore what students think of the humanised slide design, concluding that many students see it as good pedagogical practice with some students positively changing their perceptions about diversity in science. We were unable to compare responses by participant ethnic group, but find preliminary evidence that female and non-binary students are more likely to see this as good pedagogical practice, perhaps reflecting white male fragility in being exposed to initiatives designed to highlight diversity. We conclude that humanised powerpoint slides are a potentially effective tool to highlight diversity of scientists within existing research-led teaching, but highlight that this is only a small intervention that needs to sit alongside more substantive work to address the lack of diversity in STEM.

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