Renee Sieber
Biographic Data
| ID | 3635646 |
|---|---|
| NAME | Renee Sieber |
| GIVEN NAMES | Renee |
| FAMILY NAME | Sieber |
| SIGNATURE | SIEBER R |
| AFFILIATIONS | McGill University |
| VERIFIED | No |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 21 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Artificial intelligence and the local government
In recent years, the rapid advancement of artificial intelligence (AI) technologies has significantly impacted various sectors, including public governance at the local level. However, there exists a limited understanding of the overarching narrative surrounding the adoption of AI in local governments and its future. Therefore, this study aims to provide a comprehensive overview of the evolution, current state-of-the-art, and emerging trends in t…
GeoAI and Its Implications
Artificial Intelligence (AI) has emerged as a major analytical method in geography, aided by advancements in computational power, software architectures, sensing hardware, and the emergence of big data and volunteered geographic information. This entry briefly covers the history of AI in geography. This includes potential applications of geospatial AI or GeoAI, such as predictive modeling for health and neighborhoods, transportation monitoring, l…
Formalizing Trust in Historical Weather Data
Historical instrumental weather observations are vital to understanding past, present, and future climate variability and change. However, the quantity of historical weather observations to be rescued globally far exceeds the resources available to do the rescuing. Which observations should be prioritized? Here we formalize guidelines help make decisions on rescuing historical data. Rather than wait until resource-intensive digitization is done t…
Rethinking Spatial Tessellation in an Era of the Smart City
Smart cities frequently rely on vast sensor networks, such as traffic cameras and ventilation controllers. This requires that we rethink methods of spatial tessellation. As tessellation is becoming more dynamic, we often combine multiple tessellation methods and switch tessellation shapes frequently for different data collection and analytics. In this article, we review how tessellation works with the object and field geographic spatial models. T…
Teaching anthropogenic global climate change (AGCC) using climate models
Geography educators have long taught anthropogenic global climate change (AGCC) using geospatial data, visualizations, analysis tools and models. We examined the attitudes of teachers at secondary schools, research institutions, colleges and universities tasked with teaching using one such technology. We designed a seventeen-question online survey about the National Aeronautics and Space Administration (NASA) Goddard Institute for Space Studies (…
Do geospatial ontologies perpetuate Indigenous assimilation
Research on geospatial ontologies focuses on achieving interoperability by creating universal standards applied to data. We argue that universality through ontologies can potentially perpetuate homogenization of concepts, thus contributing to assimilation of Indigenous peoples. We cover the ways the conventional geospatial ontologies enable dichotomies between mental and physical concepts, reduce concepts during the classification process, attrib…
Developing a Flexible Platform for Crowdsourcing Historical Weather Records
Climatological data exists in historical documents, such as observatory registers, newspapers, ships’ logs and private diaries. Using present-day technologies, such as open source repositories and code mashups, and high-resolution digital scanning, software applications can be custom-designed to facilitate transcription of data that otherwise exists solely in paper format. We present a citizen science application for transcribing Canadian weather…
Bringing climate scientist’s tools into classrooms to improve conceptual understandings
Linking legislative openness to open data in Canada
Key Messages Legislative information is becoming an increasingly popular resource within legislative discourse and among open data advocates. In Canada, provincial and territorial legislatures achieve minimal standards of openness via online repositories. Despite momentum for openness, Canadian legislatures have yet to achieve openness suitable for legal repurposing of legislative information
Do geospatial ontologies perpetuate Indigenous assimilation
Research on geospatial ontologies focuses on achieving interoperability by creating universal standards applied to data. We argue that universality through ontologies can potentially perpetuate homogenization of concepts, thus contributing to assimilation of Indigenous peoples. We cover the ways the conventional geospatial ontologies enable dichotomies between mental and physical concepts, reduce concepts during the classification process, attrib…
Artificial intelligence and the local government
In recent years, the rapid advancement of artificial intelligence (AI) technologies has significantly impacted various sectors, including public governance at the local level. However, there exists a limited understanding of the overarching narrative surrounding the adoption of AI in local governments and its future. Therefore, this study aims to provide a comprehensive overview of the evolution, current state-of-the-art, and emerging trends in t…
Teaching anthropogenic global climate change (AGCC) using climate models
Geography educators have long taught anthropogenic global climate change (AGCC) using geospatial data, visualizations, analysis tools and models. We examined the attitudes of teachers at secondary schools, research institutions, colleges and universities tasked with teaching using one such technology. We designed a seventeen-question online survey about the National Aeronautics and Space Administration (NASA) Goddard Institute for Space Studies (…
Rethinking Spatial Tessellation in an Era of the Smart City
Smart cities frequently rely on vast sensor networks, such as traffic cameras and ventilation controllers. This requires that we rethink methods of spatial tessellation. As tessellation is becoming more dynamic, we often combine multiple tessellation methods and switch tessellation shapes frequently for different data collection and analytics. In this article, we review how tessellation works with the object and field geographic spatial models. T…
Linking legislative openness to open data in Canada
Key Messages Legislative information is becoming an increasingly popular resource within legislative discourse and among open data advocates. In Canada, provincial and territorial legislatures achieve minimal standards of openness via online repositories. Despite momentum for openness, Canadian legislatures have yet to achieve openness suitable for legal repurposing of legislative information
Bringing climate scientist’s tools into classrooms to improve conceptual understandings
Linking legislative openness to open data in Canada
Key Messages Legislative information is becoming an increasingly popular resource within legislative discourse and among open data advocates. In Canada, provincial and territorial legislatures achieve minimal standards of openness via online repositories. Despite momentum for openness, Canadian legislatures have yet to achieve openness suitable for legal repurposing of legislative information
Teaching anthropogenic global climate change (AGCC) using climate models
Geography educators have long taught anthropogenic global climate change (AGCC) using geospatial data, visualizations, analysis tools and models. We examined the attitudes of teachers at secondary schools, research institutions, colleges and universities tasked with teaching using one such technology. We designed a seventeen-question online survey about the National Aeronautics and Space Administration (NASA) Goddard Institute for Space Studies (…
Do geospatial ontologies perpetuate Indigenous assimilation
Research on geospatial ontologies focuses on achieving interoperability by creating universal standards applied to data. We argue that universality through ontologies can potentially perpetuate homogenization of concepts, thus contributing to assimilation of Indigenous peoples. We cover the ways the conventional geospatial ontologies enable dichotomies between mental and physical concepts, reduce concepts during the classification process, attrib…
Developing a Flexible Platform for Crowdsourcing Historical Weather Records
Climatological data exists in historical documents, such as observatory registers, newspapers, ships’ logs and private diaries. Using present-day technologies, such as open source repositories and code mashups, and high-resolution digital scanning, software applications can be custom-designed to facilitate transcription of data that otherwise exists solely in paper format. We present a citizen science application for transcribing Canadian weather…
Rethinking Spatial Tessellation in an Era of the Smart City
Smart cities frequently rely on vast sensor networks, such as traffic cameras and ventilation controllers. This requires that we rethink methods of spatial tessellation. As tessellation is becoming more dynamic, we often combine multiple tessellation methods and switch tessellation shapes frequently for different data collection and analytics. In this article, we review how tessellation works with the object and field geographic spatial models. T…
GeoAI and Its Implications
Artificial Intelligence (AI) has emerged as a major analytical method in geography, aided by advancements in computational power, software architectures, sensing hardware, and the emergence of big data and volunteered geographic information. This entry briefly covers the history of AI in geography. This includes potential applications of geospatial AI or GeoAI, such as predictive modeling for health and neighborhoods, transportation monitoring, l…
Formalizing Trust in Historical Weather Data
Historical instrumental weather observations are vital to understanding past, present, and future climate variability and change. However, the quantity of historical weather observations to be rescued globally far exceeds the resources available to do the rescuing. Which observations should be prioritized? Here we formalize guidelines help make decisions on rescuing historical data. Rather than wait until resource-intensive digitization is done t…
Artificial intelligence and the local government
In recent years, the rapid advancement of artificial intelligence (AI) technologies has significantly impacted various sectors, including public governance at the local level. However, there exists a limited understanding of the overarching narrative surrounding the adoption of AI in local governments and its future. Therefore, this study aims to provide a comprehensive overview of the evolution, current state-of-the-art, and emerging trends in t…
Computer Science (9 works) · Data science (6 works) · Geography (5 works) · Political science (4 works) · Ecology (3 works) · Engineering (3 works) · Geographic Information Systems Studies (3 works) · Geospatial analysis (3 works) · Remote sensing (3 works) · Big data (2 works)