2025
House of Lords Communications and Digital Select Committee inquiry: Media literacy
Specht, Doug (Ed.)Technical Report
2025.
@techreport{nokey,
title = {House of Lords Communications and Digital Select Committee inquiry: Media literacy},
editor = {Doug Specht},
url = {https://committees.parliament.uk/work/9030/media-literacy/publications/},
year = {2025},
date = {2025-05-02},
publisher = {UK Parliment},
organization = {Communications and Digital Committee},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
Written evidence: Humanitarian access and adherence to international humanitarian law
Specht, DougTechnical Report
Commons Select Committee 2025.
@techreport{nokey,
title = {Written evidence: Humanitarian access and adherence to international humanitarian law},
author = {Doug Specht},
url = {https://committees.parliament.uk/committee/98/international-development-committee/},
year = {2025},
date = {2025-02-17},
urldate = {2025-02-17},
publisher = {International Development Committee},
institution = {Commons Select Committee},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
Written evidence: Use of AI in Government
Specht, DougTechnical Report
Commons Select Committee 2025.
@techreport{nokey,
title = {Written evidence: Use of AI in Government},
author = {Doug Specht},
url = {https://committees.parliament.uk/work/8580/use-of-ai-in-government/publications/},
year = {2025},
date = {2025-01-30},
urldate = {2025-01-30},
publisher = {Public Accounts Committee},
institution = {Commons Select Committee},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
2024
Case Study: Blackboard Learn Ultra’s AI Design Assistant
Moule, TomTechnical Report
2024.
@techreport{nokey,
title = {Case Study: Blackboard Learn Ultra’s AI Design Assistant},
author = {Tom Moule},
url = {https://nationalcentreforai.jiscinvolve.org/wp/2024/04/24/case-study-blackboard-learn-ultras-ai-design-assistant/},
year = {2024},
date = {2024-04-24},
urldate = {2024-04-24},
publisher = {JISC},
abstract = {Virtual Learning Environments (VLEs) – a ubiquitous tool in tertiary education – have begun to harness generative AI, leading to exciting new features and functionality. In this case study, we explore how University of Westminster and Northumbria University have been utilising Blackboard® Learn Ultra’s AI Design Assistant, which includes features that generate assessment rubrics, course structures, activity ideas, images, and quizzes and knowledge checks. },
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
Virtual Learning Environments (VLEs) – a ubiquitous tool in tertiary education – have begun to harness generative AI, leading to exciting new features and functionality. In this case study, we explore how University of Westminster and Northumbria University have been utilising Blackboard® Learn Ultra’s AI Design Assistant, which includes features that generate assessment rubrics, course structures, activity ideas, images, and quizzes and knowledge checks.
AI Garage – snapshots of practice
Knight, CharlesWorking paper
2024.
@workingpaper{nokey,
title = {AI Garage – snapshots of practice},
author = {Charles Knight
},
url = {https://www.advance-he.ac.uk/news-and-views/ai-garage-snapshots-practice?utm_campaign=Comms+2024&utm_medium=social&utm_source=LinkedIn},
year = {2024},
date = {2024-04-23},
urldate = {2024-04-23},
publisher = {AdvanceHE},
abstract = {This newly released 'AI Garage' Overview report offers an insight into the increasing influence of generative artificial intelligence (GAI) across higher education institutions (HEIs). As the technology evolves, so does GAI’s role in existing processes, systems and cultures.
The report highlights the innovations and challenges of integrating GAI into existing practices, from enhancing student learning experiences through personalized learning paths to augmenting faculty capabilities in handling academic pressures.
The case studies, derived from various submissions, reflect a ‘garage band’ spirit of creativity and collaborative experimentation within the academic community.
We know this is a highly contested area (as noted in the report) — viewed by some as a ground-breaking tool poised to redefine pedagogical and research approaches. In contrast, others remain cautious, citing potential risks and the hype that often surrounds emerging technologies. Regardless of these differing viewpoints, the current wave of experimentation across HEIs underscores a significant digital exploration and adaptation period.
For those interested in a deeper exploration of the themes and case studies presented in the AI Garage Report, further details can be accessed through the dedicated project URLs provided in the report appendix. },
keywords = {},
pubstate = {published},
tppubtype = {workingpaper}
}
This newly released 'AI Garage' Overview report offers an insight into the increasing influence of generative artificial intelligence (GAI) across higher education institutions (HEIs). As the technology evolves, so does GAI’s role in existing processes, systems and cultures.
The report highlights the innovations and challenges of integrating GAI into existing practices, from enhancing student learning experiences through personalized learning paths to augmenting faculty capabilities in handling academic pressures.
The case studies, derived from various submissions, reflect a ‘garage band’ spirit of creativity and collaborative experimentation within the academic community.
We know this is a highly contested area (as noted in the report) — viewed by some as a ground-breaking tool poised to redefine pedagogical and research approaches. In contrast, others remain cautious, citing potential risks and the hype that often surrounds emerging technologies. Regardless of these differing viewpoints, the current wave of experimentation across HEIs underscores a significant digital exploration and adaptation period.
For those interested in a deeper exploration of the themes and case studies presented in the AI Garage Report, further details can be accessed through the dedicated project URLs provided in the report appendix.
The report highlights the innovations and challenges of integrating GAI into existing practices, from enhancing student learning experiences through personalized learning paths to augmenting faculty capabilities in handling academic pressures.
The case studies, derived from various submissions, reflect a ‘garage band’ spirit of creativity and collaborative experimentation within the academic community.
We know this is a highly contested area (as noted in the report) — viewed by some as a ground-breaking tool poised to redefine pedagogical and research approaches. In contrast, others remain cautious, citing potential risks and the hype that often surrounds emerging technologies. Regardless of these differing viewpoints, the current wave of experimentation across HEIs underscores a significant digital exploration and adaptation period.
For those interested in a deeper exploration of the themes and case studies presented in the AI Garage Report, further details can be accessed through the dedicated project URLs provided in the report appendix.
2023
MODEL REPORT: INFORM Risk Index
OCHA, UN (Ed.)Technical Report
2023.
@techreport{nokey,
title = {MODEL REPORT: INFORM Risk Index},
editor = {UN OCHA},
url = {https://camri.ac.uk/blog/2023/07/23/doug-specht-undertakes-ethical-review-for-un-report-on-inform-risk-index/},
year = {2023},
date = {2023-07-01},
abstract = {This document summarizes the documentation and findings of the peer review of the INFORM Risk Index. The INFORM Risk Index is a global, open-source risk assessment for humanitarian crises and disasters. It can support decisions about prevention, preparedness and response. The objective of the INFORM Risk Index is to identify countries at risk of humanitarian crises that could overwhelm national capacity to respond. The model combines indicators of hazard and exposure, vulnerability and coping capacity into a composite indicator.
},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
This document summarizes the documentation and findings of the peer review of the INFORM Risk Index. The INFORM Risk Index is a global, open-source risk assessment for humanitarian crises and disasters. It can support decisions about prevention, preparedness and response. The objective of the INFORM Risk Index is to identify countries at risk of humanitarian crises that could overwhelm national capacity to respond. The model combines indicators of hazard and exposure, vulnerability and coping capacity into a composite indicator.
2020
Future Trends in Geospatial Information Management (3rd Edition
UN-GGIM, (Ed.)Working paperForthcomingOpen Access
Forthcoming.
@workingpaper{nokey,
title = {Future Trends in Geospatial Information Management (3rd Edition},
editor = {UN-GGIM},
url = {https://ggim.un.org/documents/DRAFT_Future_Trends_report_3rd_edition.pdf},
year = {2020},
date = {2020-06-02},
keywords = {},
pubstate = {forthcoming},
tppubtype = {workingpaper}
}
2016
Future trends in geospatial information management: the five to ten year vision (2nd Edition)
UN-GGIM,Working paperOpen Access
2016.
@workingpaper{nokey,
title = {Future trends in geospatial information management: the five to ten year vision (2nd Edition)},
author = {UN-GGIM},
url = {http://ggim.un.org/documents/UN-GGIM-Future-trends_Second%20edition.pdf},
year = {2016},
date = {2016-12-01},
urldate = {2016-12-01},
edition = {Future trends in geospatial information management: the five to ten year vision},
keywords = {},
pubstate = {published},
tppubtype = {workingpaper}
}
2015
The Future of GI in the 3rd Sector
Specht, DougWorking paperOpen Access
2015.
@workingpaper{Specht2015,
title = {The Future of GI in the 3rd Sector},
author = {Doug Specht},
editor = {Association for Geographic Information},
url = {https://www.agi.org.uk/news/foresight-report},
year = {2015},
date = {2015-11-30},
urldate = {2015-11-30},
pages = {235-239},
institution = {Association for Geographic Information},
organization = {Association for Geographic Information},
abstract = {The AGI Foresight Report 2020 gives insight into the issues we believe will have a significant impact on our economy, environment and society over the next five years. The purpose of the Report is to both observe and challenge the current role of Geographic Information (GI) in relation to these issues. The Report highlights five key themes that are of relevance not only to the GI industry, but to anyone with a vested interest in how technology and information will change our world and businesses in the next five years. These five themes – Open, Big Data, BIM and Future Cities, innovative technologies and policy – form the backbone of our Report, bringing together papers from experts across industries and disciplines. They show that the GI community can, and must, play a big part in helping us to understand and maximise benefits from these areas, and meet head on the challenges and opportunities the next five years will bring.},
keywords = {},
pubstate = {published},
tppubtype = {workingpaper}
}
The AGI Foresight Report 2020 gives insight into the issues we believe will have a significant impact on our economy, environment and society over the next five years. The purpose of the Report is to both observe and challenge the current role of Geographic Information (GI) in relation to these issues. The Report highlights five key themes that are of relevance not only to the GI industry, but to anyone with a vested interest in how technology and information will change our world and businesses in the next five years. These five themes – Open, Big Data, BIM and Future Cities, innovative technologies and policy – form the backbone of our Report, bringing together papers from experts across industries and disciplines. They show that the GI community can, and must, play a big part in helping us to understand and maximise benefits from these areas, and meet head on the challenges and opportunities the next five years will bring.