GI Management Transformation: from geometry to data-based relationships. - Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University & Programmable City, Maynooth University. Address given at Ordnance Survey Ireland GI R&D Initiatives, Tuesday, 22 March 2016, 13:00 to 20:30 (GMT), Maynooth University.
Providing geospatial information as Linked Open DataPat Kenny
ADAPT is revolutionising the way people can seamlessly interact with digital content, systems and each other and enabling users to achieve unprecedented levels of access and efficiency. - Prof. Declan O'Sullivan, Trinity College Dublin. Address given at Ordnance Survey Ireland GI R&D Initiatives, Tuesday, 22 March 2016, 13:00 to 20:30 (GMT), Maynooth University.
WORLDMAP: A SPATIAL INFRASTRUCTURE TO SUPPORT TEACHING AND RESEARCH (BROWN BA...Micah Altman
The WorldMap platform http://worldmap.harvard.edu is the largest open source collaborative mapping system in the world, with over 13,000 map layers contributed by thousands of users from Harvard and around the world. Researchers may upload large spatial datasets to the system, create data-driven visualizations, edit data, and control access. Users may keep their data private, share it in groups, or publish to the world.
The user base is interdisciplinary, including scholars from the humanities, social sciences, sciences, public health, design, planning, etc. All are able to access, view, and use one another’s data, either online, via map services, or by downloading.
Current work is underway to create and maintain a global registry of map services and take us a step closer to one-stop-access for public geospatial data. Another project is working on tools to support the visualization of spatial datasets with over a billion features. Current collaborations are underway with groups inside Harvard, such as Dataverse, HarvardX, and various departments, and with groups outside Harvard, such as Cornell University and the University of Pennsylvania. Major additional contributors to the underlying source code include the WorldBank, the U.S. State Department, and the United Nations.
The source code for the WorldMap platform is available on GitHub https://github.com/cga-harvard/cga-worldmap.
Location: E25-202
Discussant: Ben Lewis is system architect and project manager for WorldMap, an open source infrastructure that supports collaborative research centered on geospatial information. Before joining Harvard, Ben was a project manager with Advanced Technology Solutions of Pennsylvania, where he led the company in adopting platform independent approaches to GIS system development. Ben studied Chinese at the University of Wisconsin and has a Masters in Planning from the University of Pennsylvania. After Penn, Ben helped start the GIS Lab at U.C. Berkeley, founded the GIS group for transportation engineering firm McCormick Taylor, and coordinated the Land Acquisition Mapping System for South Florida Water Management District. Ben is especially interested in technologies that lower the barrier to spatial technology access.
Information Science Brown Bag talks, hosted by the Program on Information Science, consists of regular discussions and brainstorming sessions on all aspects of information science and uses of information science and technology to assess and solve institutional, social and research problems. These are informal talks. Discussions are often inspired by real-world problems being faced by the lead discussant.
This document discusses using R for spatial data analysis. It begins by outlining the key topics that will be covered, including why R is used for spatial analysis and its relationship to GIS. It then provides background on R, describing it as a free software environment for statistical computing and graphics. The document also defines spatial data and the common types. It notes that R has thousands of packages that add functionality and discusses challenges of storing and displaying spatial data. Finally, it provides an overview of the book's structure, which first presents shared R packages for spatial data and then showcases more specialized spatial analysis techniques.
1) The document discusses the evolution of the semantic web and linked data, from their initial visions to their current uses. It describes how linked data has focused more on sharing information as a graph and facilitating data integration, rather than the formal ontologies originally envisioned for the semantic web.
2) Key developments in linked data are highlighted, such as schema.org for web pages metadata and DBpedia for open data. However, limitations around costs, incentives and tool maintenance are noted.
3) Emerging areas are knowledge discovery through graph mining of linked data, and the potential for a more "sentient web" combining linked data with sensors and AI/ML for continuous learning.
New Discovery Tools for Digital Humanities and Spatial Data (Summary of the J...Micah Altman
This document discusses new tools for digital humanities and spatial data. It describes how physical discovery of manuscripts led to new methods of transmission and preservation of information over time. Modern libraries are indexing resources through internal catalogs and digital objects. The text advocates for moving resources on the semantic web using linked open data with RDF to better integrate geographic data and connect projects. The future of catalogs may involve direct access to digital resources through APIs, linked open data, and graph databases to allow deeper analysis of content and spatial indexing of metadata.
OzNome - Interoperable data as an example of FAIR data principlesfairARDC
Simon Cox, David Lemon, Jonathan Yu (CSIRO) present on how they have made the research data in the OzNome project Interoperable, not only for humans, but also for machines
This is #3 in the FAIR data webinar series: INTEROPERABLE covers: -- an overview of the 3 INTEROPERABLE principles which use vocabularies for knowledge representation, standardisation and references other metadata. -- resources to support institutional awareness and uptake of Interoperable principles
Full recording:on YouTube: https://youtu.be/MeFl9WrtG20
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-fair-3-iforinteroperable13917
How to build systems that find, access, exchange and reuse information from linked datasources? My keynote at the Platform Linked Data Netherlands Congress.
http://www.pilod.nl/wiki/Congres_Linked_Data_is_FAIR_voor_Iedereen_%E2%80%93_7_november_2018
This document discusses the need for a new digital research infrastructure for the arts and humanities called DARIAH. It outlines how humanities research is increasingly relying on large digital datasets and resources requiring networked infrastructure. The document describes how DARIAH would provide access to digitized cultural heritage resources and tools to analyze these resources. It also discusses the organizational structure and partnerships needed to establish DARIAH and ensure its long-term sustainability to support innovative digital humanities research across Europe.
Providing geospatial information as Linked Open DataPat Kenny
ADAPT is revolutionising the way people can seamlessly interact with digital content, systems and each other and enabling users to achieve unprecedented levels of access and efficiency. - Prof. Declan O'Sullivan, Trinity College Dublin. Address given at Ordnance Survey Ireland GI R&D Initiatives, Tuesday, 22 March 2016, 13:00 to 20:30 (GMT), Maynooth University.
WORLDMAP: A SPATIAL INFRASTRUCTURE TO SUPPORT TEACHING AND RESEARCH (BROWN BA...Micah Altman
The WorldMap platform http://worldmap.harvard.edu is the largest open source collaborative mapping system in the world, with over 13,000 map layers contributed by thousands of users from Harvard and around the world. Researchers may upload large spatial datasets to the system, create data-driven visualizations, edit data, and control access. Users may keep their data private, share it in groups, or publish to the world.
The user base is interdisciplinary, including scholars from the humanities, social sciences, sciences, public health, design, planning, etc. All are able to access, view, and use one another’s data, either online, via map services, or by downloading.
Current work is underway to create and maintain a global registry of map services and take us a step closer to one-stop-access for public geospatial data. Another project is working on tools to support the visualization of spatial datasets with over a billion features. Current collaborations are underway with groups inside Harvard, such as Dataverse, HarvardX, and various departments, and with groups outside Harvard, such as Cornell University and the University of Pennsylvania. Major additional contributors to the underlying source code include the WorldBank, the U.S. State Department, and the United Nations.
The source code for the WorldMap platform is available on GitHub https://github.com/cga-harvard/cga-worldmap.
Location: E25-202
Discussant: Ben Lewis is system architect and project manager for WorldMap, an open source infrastructure that supports collaborative research centered on geospatial information. Before joining Harvard, Ben was a project manager with Advanced Technology Solutions of Pennsylvania, where he led the company in adopting platform independent approaches to GIS system development. Ben studied Chinese at the University of Wisconsin and has a Masters in Planning from the University of Pennsylvania. After Penn, Ben helped start the GIS Lab at U.C. Berkeley, founded the GIS group for transportation engineering firm McCormick Taylor, and coordinated the Land Acquisition Mapping System for South Florida Water Management District. Ben is especially interested in technologies that lower the barrier to spatial technology access.
Information Science Brown Bag talks, hosted by the Program on Information Science, consists of regular discussions and brainstorming sessions on all aspects of information science and uses of information science and technology to assess and solve institutional, social and research problems. These are informal talks. Discussions are often inspired by real-world problems being faced by the lead discussant.
This document discusses using R for spatial data analysis. It begins by outlining the key topics that will be covered, including why R is used for spatial analysis and its relationship to GIS. It then provides background on R, describing it as a free software environment for statistical computing and graphics. The document also defines spatial data and the common types. It notes that R has thousands of packages that add functionality and discusses challenges of storing and displaying spatial data. Finally, it provides an overview of the book's structure, which first presents shared R packages for spatial data and then showcases more specialized spatial analysis techniques.
1) The document discusses the evolution of the semantic web and linked data, from their initial visions to their current uses. It describes how linked data has focused more on sharing information as a graph and facilitating data integration, rather than the formal ontologies originally envisioned for the semantic web.
2) Key developments in linked data are highlighted, such as schema.org for web pages metadata and DBpedia for open data. However, limitations around costs, incentives and tool maintenance are noted.
3) Emerging areas are knowledge discovery through graph mining of linked data, and the potential for a more "sentient web" combining linked data with sensors and AI/ML for continuous learning.
New Discovery Tools for Digital Humanities and Spatial Data (Summary of the J...Micah Altman
This document discusses new tools for digital humanities and spatial data. It describes how physical discovery of manuscripts led to new methods of transmission and preservation of information over time. Modern libraries are indexing resources through internal catalogs and digital objects. The text advocates for moving resources on the semantic web using linked open data with RDF to better integrate geographic data and connect projects. The future of catalogs may involve direct access to digital resources through APIs, linked open data, and graph databases to allow deeper analysis of content and spatial indexing of metadata.
OzNome - Interoperable data as an example of FAIR data principlesfairARDC
Simon Cox, David Lemon, Jonathan Yu (CSIRO) present on how they have made the research data in the OzNome project Interoperable, not only for humans, but also for machines
This is #3 in the FAIR data webinar series: INTEROPERABLE covers: -- an overview of the 3 INTEROPERABLE principles which use vocabularies for knowledge representation, standardisation and references other metadata. -- resources to support institutional awareness and uptake of Interoperable principles
Full recording:on YouTube: https://youtu.be/MeFl9WrtG20
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-fair-3-iforinteroperable13917
How to build systems that find, access, exchange and reuse information from linked datasources? My keynote at the Platform Linked Data Netherlands Congress.
http://www.pilod.nl/wiki/Congres_Linked_Data_is_FAIR_voor_Iedereen_%E2%80%93_7_november_2018
This document discusses the need for a new digital research infrastructure for the arts and humanities called DARIAH. It outlines how humanities research is increasingly relying on large digital datasets and resources requiring networked infrastructure. The document describes how DARIAH would provide access to digitized cultural heritage resources and tools to analyze these resources. It also discusses the organizational structure and partnerships needed to establish DARIAH and ensure its long-term sustainability to support innovative digital humanities research across Europe.
Applying association rules and co location techniques on geospatial web servicesAlexander Decker
This document summarizes a study that applies spatial data mining techniques like association rule mining and co-location analysis to geospatial data from different crisis management systems. The study develops a web service that integrates data from traffic, medical, and civil defense systems about road accidents and fires. Spatial rule mining reveals relationships between accidents, fires, road cuts, and losses. A case study applies the approach to emergency response data from Alexandria, Egypt. Regression analysis confirms the validity of rules discovered from mining the integrated geospatial data.
- The document discusses connecting museums through linked open data (LOD). It outlines the LODAC Museum project which aims to aggregate and associate over 1.4 billion collection objects from over 1,000 Japanese museums and cultural organizations.
- The project gathers data from various sources, standardizes the data, integrates it by identifying and associating the same data points, and publishes the integrated museum data as LOD.
- By connecting museum data to other types of data through LOD, it can provide new value like connecting works to local information, events, and enabling user-generated contributions about cultural collections.
Open Data Analytics for Parliamentary Monitoring in FinlandLouhos
The document discusses developing open analytics tools for parliamentary data in Finland. It notes that a lack of tools is hindering access to and monitoring of parliamentary data. Developing flexible research and analysis tools will help realize the full potential of new open government information resources. The Louhos repository aims to develop code for accessing hundreds of Finnish data sources and apply new research tools to monitor decision making. General purpose software like the R library SoRvi will integrate open data, algorithms, and applications to enable analyses like topic modeling of parliamentary debates. The goal is to build sustainable infrastructure for parliamentary monitoring through collaborations between individuals, organizations, and media.
De presentatie van Erwin Folmer, tijdens de parallelle sessie 'Randvoorwaarden voor data gedreven beleid en politiek' van het congres 'Data gedreven Beleidsontwikkeling' in Den Haag op 28 november 2017.
INTEROPERABLE covers: -- an overview of the 3 INTEROPERABLE principles which use vocabularies for knowledge representation, standardisation and references other metadata. -- resources to support institutional awareness and uptake of Interoperable principles
Full webinar recording on YouTube: https://youtu.be/MeFl9WrtG20
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-fair-3-iforinteroperable13917
The document discusses the Henry III Fine Rolls Project, which aims to make the Fine Rolls accessible online for free. The Fine Rolls are documents containing payments made to the King and are important for political, legal, social and economic history. The project encodes the text using TEI XML and develops authority tables to describe people, places and subjects for flexible organization and searching. It uses tools like Protégé and xMOD to edit and publish the ontology-based encoding online, and plans to improve navigation with maps and alternative search visualizations in the future.
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-estheticsKari A. Hintikka
This document discusses open data and provides examples of how open data can be visualized and layered to create network esthetics. It describes open data as publicly available data that is made technically and legally available for reuse, often originally collected for other purposes. Examples are given of open data projects like OpenStreetMap and FluTracker. The document also introduces Gephi, an open-source software for visualizing social networks, and provides guidelines for importing personal Facebook data to analyze a person's social network.
Linked Open Data projects aim to extend the web of documents to a web of linked data by adding semantics through standards like RDF and ontologies. The Linked Open Data cloud has grown significantly since 2007 and contains billions of RDF triples and links between data sources. Projects like LOD2 build on this by developing technologies and linking more open datasets to enable new applications. For Linked Data to achieve its full potential, openness and allowing free access and reuse is important, though it does mean losing some control over data usage.
Wire Workshop: Overview slides for ArchiveHub Projectmwe400
The document discusses using large datasets from the Internet Archive to conduct research. It outlines an agenda with three parts: large scale data, developing new tools, and testing and building theory. The Internet Archive contains over 10 petabytes of cultural data, including 410 billion archived web pages. The ArchiveHub project aims to create tools and guidelines for longitudinal research on archived web data. Examples of potential research topics are discussed, such as studying social movements using link and text data from websites about Occupy Wall Street. Challenges discussed include accessing and preparing the large datasets for research purposes and connecting the data to theoretical frameworks.
Connecting Heterogeneous Collections using Linked DataVictor de Boer
Presentation about connecting Heterogeneous Collections using Linked Data as presented at the NIAS Lorentz workshhop on Migrant Re-Collections (http://www.leiden-delft-erasmus.nl/nl/agenda/2016-08-22-nias-lorentz-workshop-migrant-re-collections-on-digitalising-migrant-heritage)
Georgi Kobilarov is a researcher at Freie Universität Berlin and the development lead for the DBpedia project. The document discusses the Semantic Web and linked data. It provides an overview of the DBpedia project, which extracts structured data from Wikipedia pages and makes it queryable. DBpedia has extracted data about 200k people, 193k places, 187k works, and more, and provides links between datasets on the linked data cloud.
LiSIs: a Galaxy based platform for Life Sciences ResearchChristos Kannas
LiSIs is a Galaxy-based scientific workflow platform for virtual screening that utilizes tools like RDKit, R, AutoDock Vina, and OpenBabel. It was developed for life sciences informatics research and was funded by EU projects GRANATUM and Linked2Safety to enable in silico modeling and experiments in cancer chemoprevention and link electronic health records. The platform acknowledges contributions from the University of Cyprus and other collaborators.
The document announces a conference on language business innovation from October 4-6, 2010 in Portland, Oregon. On the first day, October 4th, there will be a presentation at 3:45pm on using the TAUS Data Association supercloud as a real-time web service for translation matching. The presentation will discuss leveraging the large TDA translation memory database, the challenges of its size, and how the open source GlobalSight platform was selected to enable enterprise-scale matching that can be accessed through APIs or by uploading files to TDA.
Advancing capacities of representative institutions: a proposalDr. Fotios Fitsilis
This document proposes strengthening parliamentary capacities through enhanced Parliamentary Research Services (PaRS) and increased political and scientific cooperation between parliaments. It recommends that PaRS take on expanded roles in areas like technology adoption, research, and consultation. Case studies demonstrate how PaRS can support digitalization, modeling of procedures, and EU-funded projects examining lawmaking and policy debates. International cooperation is presented as a means for parliaments to develop independent expertise and counter governmental influence.
A number of government, corporate, and academic
organizations are collecting enormous amounts of data provided by environmental sensors. However, this data is too often locked within organizations and underutilized by the greater community. In this paper, we present a framework to make this sensor data openly accessible by
publishing it on the Linked Open Data (LOD) Cloud. This is accomplished by converting raw sensor observations to RDF and linking with other datasets on LOD. With such a framework, organizations can make large amounts of sensor data openly accessible, thus allowing greater opportunity for utilization and analysis.
Authors - Harshal Patni, Cory Henson, Amit Sheth
* First attempt on Linked Sensor Data
OSi Geographic Information Research & Development Initiatives Launch
Ordnance Survey Ireland GI R&D Initiatives
Tuesday, 22 March 2016, 13:00 to 20:30 (GMT) , Maynooth University
Applying association rules and co location techniques on geospatial web servicesAlexander Decker
This document summarizes a study that applies spatial data mining techniques like association rule mining and co-location analysis to geospatial data from different crisis management systems. The study develops a web service that integrates data from traffic, medical, and civil defense systems about road accidents and fires. Spatial rule mining reveals relationships between accidents, fires, road cuts, and losses. A case study applies the approach to emergency response data from Alexandria, Egypt. Regression analysis confirms the validity of rules discovered from mining the integrated geospatial data.
- The document discusses connecting museums through linked open data (LOD). It outlines the LODAC Museum project which aims to aggregate and associate over 1.4 billion collection objects from over 1,000 Japanese museums and cultural organizations.
- The project gathers data from various sources, standardizes the data, integrates it by identifying and associating the same data points, and publishes the integrated museum data as LOD.
- By connecting museum data to other types of data through LOD, it can provide new value like connecting works to local information, events, and enabling user-generated contributions about cultural collections.
Open Data Analytics for Parliamentary Monitoring in FinlandLouhos
The document discusses developing open analytics tools for parliamentary data in Finland. It notes that a lack of tools is hindering access to and monitoring of parliamentary data. Developing flexible research and analysis tools will help realize the full potential of new open government information resources. The Louhos repository aims to develop code for accessing hundreds of Finnish data sources and apply new research tools to monitor decision making. General purpose software like the R library SoRvi will integrate open data, algorithms, and applications to enable analyses like topic modeling of parliamentary debates. The goal is to build sustainable infrastructure for parliamentary monitoring through collaborations between individuals, organizations, and media.
De presentatie van Erwin Folmer, tijdens de parallelle sessie 'Randvoorwaarden voor data gedreven beleid en politiek' van het congres 'Data gedreven Beleidsontwikkeling' in Den Haag op 28 november 2017.
INTEROPERABLE covers: -- an overview of the 3 INTEROPERABLE principles which use vocabularies for knowledge representation, standardisation and references other metadata. -- resources to support institutional awareness and uptake of Interoperable principles
Full webinar recording on YouTube: https://youtu.be/MeFl9WrtG20
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-fair-3-iforinteroperable13917
The document discusses the Henry III Fine Rolls Project, which aims to make the Fine Rolls accessible online for free. The Fine Rolls are documents containing payments made to the King and are important for political, legal, social and economic history. The project encodes the text using TEI XML and develops authority tables to describe people, places and subjects for flexible organization and searching. It uses tools like Protégé and xMOD to edit and publish the ontology-based encoding online, and plans to improve navigation with maps and alternative search visualizations in the future.
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-estheticsKari A. Hintikka
This document discusses open data and provides examples of how open data can be visualized and layered to create network esthetics. It describes open data as publicly available data that is made technically and legally available for reuse, often originally collected for other purposes. Examples are given of open data projects like OpenStreetMap and FluTracker. The document also introduces Gephi, an open-source software for visualizing social networks, and provides guidelines for importing personal Facebook data to analyze a person's social network.
Linked Open Data projects aim to extend the web of documents to a web of linked data by adding semantics through standards like RDF and ontologies. The Linked Open Data cloud has grown significantly since 2007 and contains billions of RDF triples and links between data sources. Projects like LOD2 build on this by developing technologies and linking more open datasets to enable new applications. For Linked Data to achieve its full potential, openness and allowing free access and reuse is important, though it does mean losing some control over data usage.
Wire Workshop: Overview slides for ArchiveHub Projectmwe400
The document discusses using large datasets from the Internet Archive to conduct research. It outlines an agenda with three parts: large scale data, developing new tools, and testing and building theory. The Internet Archive contains over 10 petabytes of cultural data, including 410 billion archived web pages. The ArchiveHub project aims to create tools and guidelines for longitudinal research on archived web data. Examples of potential research topics are discussed, such as studying social movements using link and text data from websites about Occupy Wall Street. Challenges discussed include accessing and preparing the large datasets for research purposes and connecting the data to theoretical frameworks.
Connecting Heterogeneous Collections using Linked DataVictor de Boer
Presentation about connecting Heterogeneous Collections using Linked Data as presented at the NIAS Lorentz workshhop on Migrant Re-Collections (http://www.leiden-delft-erasmus.nl/nl/agenda/2016-08-22-nias-lorentz-workshop-migrant-re-collections-on-digitalising-migrant-heritage)
Georgi Kobilarov is a researcher at Freie Universität Berlin and the development lead for the DBpedia project. The document discusses the Semantic Web and linked data. It provides an overview of the DBpedia project, which extracts structured data from Wikipedia pages and makes it queryable. DBpedia has extracted data about 200k people, 193k places, 187k works, and more, and provides links between datasets on the linked data cloud.
LiSIs: a Galaxy based platform for Life Sciences ResearchChristos Kannas
LiSIs is a Galaxy-based scientific workflow platform for virtual screening that utilizes tools like RDKit, R, AutoDock Vina, and OpenBabel. It was developed for life sciences informatics research and was funded by EU projects GRANATUM and Linked2Safety to enable in silico modeling and experiments in cancer chemoprevention and link electronic health records. The platform acknowledges contributions from the University of Cyprus and other collaborators.
The document announces a conference on language business innovation from October 4-6, 2010 in Portland, Oregon. On the first day, October 4th, there will be a presentation at 3:45pm on using the TAUS Data Association supercloud as a real-time web service for translation matching. The presentation will discuss leveraging the large TDA translation memory database, the challenges of its size, and how the open source GlobalSight platform was selected to enable enterprise-scale matching that can be accessed through APIs or by uploading files to TDA.
Advancing capacities of representative institutions: a proposalDr. Fotios Fitsilis
This document proposes strengthening parliamentary capacities through enhanced Parliamentary Research Services (PaRS) and increased political and scientific cooperation between parliaments. It recommends that PaRS take on expanded roles in areas like technology adoption, research, and consultation. Case studies demonstrate how PaRS can support digitalization, modeling of procedures, and EU-funded projects examining lawmaking and policy debates. International cooperation is presented as a means for parliaments to develop independent expertise and counter governmental influence.
A number of government, corporate, and academic
organizations are collecting enormous amounts of data provided by environmental sensors. However, this data is too often locked within organizations and underutilized by the greater community. In this paper, we present a framework to make this sensor data openly accessible by
publishing it on the Linked Open Data (LOD) Cloud. This is accomplished by converting raw sensor observations to RDF and linking with other datasets on LOD. With such a framework, organizations can make large amounts of sensor data openly accessible, thus allowing greater opportunity for utilization and analysis.
Authors - Harshal Patni, Cory Henson, Amit Sheth
* First attempt on Linked Sensor Data
OSi Geographic Information Research & Development Initiatives Launch
Ordnance Survey Ireland GI R&D Initiatives
Tuesday, 22 March 2016, 13:00 to 20:30 (GMT) , Maynooth University
Cottbus Brandenburg University of Technology Lecture series on Smart RegionsCritically Assembling Data, Processes & Things: Toward and Open Smart CityJune 5, 2018
This lecture will critically focus on smart cities from a data based socio-technological assemblage approach. It is a theoretical and methodological framework that allows for an empirical examination of how smart cities are socially and technically constructed, and to study them as discursive regimes and as a large technological infrastructural systems.
The lecture will refer to the research outcomes of the ERC funded Programmable City Project led by Rob Kitchin at Maynooth University and will feature examples of empirical research conducted in Dublin and other Irish cities.
In addition, the lecture will discuss the research outcomes of the Canadian Open Smart Cities project funded by the Government of Canada GeoConnections Program. Examples will be drawn from five case studies namely about the cities of Edmonton, Guelph, Ottawa and Montreal, and the Ontario Smart Grid as well as number of international best practices. The recent Infrastructure Canada Canadian Smart City Challenge and the controversial Sidewalk Lab Waterfront Toronto project will also be discussed.
It will be argued that no two smart cities are alike although the technological solutionist and networked urbanist approaches dominate and it is suggested that these kind of smart cities may not live up to the promise of being better places to live.
In this lecture, the ideals of an Open Smart City are offered instead and in this kind of city residents, civil society, academics, and the private sector collaborate with public officials to mobilize data and technologies when warranted in an ethical, accountable and transparent way in order to govern the city as a fair, viable and livable commons that balances economic development, social progress and environmental responsibility. Although an Open Smart City does not yet exist, it will be argued that it is possible.
AoIR 2017
Panel 17 Dorpat-Ewers, Tartu 9-10:30AM
Data Driven Ontology Practices
The Real world objects of Ordnance Survey Ireland
Abstract is available here: https://www.conftool.com/aoir2017/index.php?page=browseSessions&form_session=258&presentations=show
Crowdsourcing Approaches for Smart City Open Data ManagementEdward Curry
A wide-scale bottom-up approach to the creation and management of open data has been demonstrated by projects like Freebase, Wikipedia, and DBpedia. This talk explores how to involving a wide community of users in collaborative management of open data activities within a Smart City. The talk discusses how crowdsourcing techniques can be applied within a Smart City context using crowdsourcing and human computation platforms such as Amazon Mechanical Turk, Mobile Works, and Crowd Flower.
This presentation will discuss how the structured data, together with the semantically indexed/mined entities in semi-structured and unstructured data, are contributing to researches beyond libraries, especially in digital humanities. It aims to explore the opportunities and strategies to use, reuse, share, and effectively elaborate the smart data -- generated or to be generated -- in libraries.
WSI Stimulus Project: Centre for longitudinal studies of online citizen parti...Ramine Tinati
This document summarizes a mid-term presentation on a project to establish a centre for longitudinal studies of online citizen participation systems. The project aims to improve research in this area through activities like performing a literature review of citizen science methods, reviewing existing citizen science platforms, and developing a citizen science data collection toolkit. Initial findings show citizen science activity is predominantly located in western countries. The project also examines player interactions on the EyeWire citizen science platform using mixed methods. Long term goals include providing a research data catalogue and establishing the University of Southampton as a hub for citizen science studies.
This document discusses the Space-Time Cube, a tool for visualizing, analyzing, and managing spatiotemporal data describing human movement and events. It examines use cases like evacuation routes after an earthquake and identifying flocking patterns in pedestrian trajectory data. The Space-Time Cube allows interactive exploration of movement data at different scales, as well as identifying relationships and patterns within spatiotemporal event data, like archaeological site locations. Key challenges with spatiotemporal data include differences in resolution, accuracy, and data types, ranging from dense tracking datasets to sparse event records, requiring appropriate analytical methods.
1. The document discusses geo-informatics and its use for disaster risk reduction and sustainable development through digital platforms like Digital Earth and Digital Asia.
2. Key applications mentioned include public participatory GIS, adaptation for climate change, monitoring glacial lakes, and early warning systems using sensor networks.
3. The Graduate School of Media and Governance at Keio University conducts research related to global innovation systems, security, and emerging crises through its Global Security Research Center.
Note:
Interactivity and animation are lost when the slides are converted to PDF.
Abstract:
In a technological society such as Canada, it is suggested that a specialized kind of expert citizenship is needed (Andrew Feenberg). In the era of big data, others suggest that there is a need to learn how to read algorithms and to study its high priests and alchemists (Genevieve Bell). While, doing citizenship requires a political ethics of technology to thwart technological and quantitative fundamentalism (Darin Barney). Finally, in the midst of a data revolution we need to critically re-conceptualize data (Rob Kitchin). Quite simply, in today's Canada doing citizenship requires data literacy, technical, philosophical and political. Access to print media - books, government documents, academic journals - in libraries and archives enabled a literate society, the prerequisite of a democratic system. I argue that good governance in knowledge producing institutions, is to have technological experts, both data creators and preservers, working to store, manage, disseminate and preserve data so that we have the requisite artifacts to increase our literacy and build upon collected knowledge. Data literacy I suggest, is indispensable in the current democratic system, and that requires having access to data, data infrastructures - knowledge and technology - and dedicated skilled people and resources to sustainably care for them. I consider research data management to be our duty.
Seminar at CSAIL, MIT, Cambridge, Mass. Date: Friday October 30, 2015. Time: 4:00 pm - 5:00 pm, Location: D463 (Star)
Abstract:
Today we are witnessing several shifts in scholarly practice, in and across multiple disciplines, as researchers embrace digital techniques to tackle established research questions in new ways and new questions afforded by digital and digitized collections, approaches, and technologies. Pervasive adoption of technology, coupled with the co-creation of new social processes, has created a new and complex space for scholarship where citizens both generate and analyse data as they interact at the intersection of the physical and digital. Drawing on a background in distributed computing, and adopting the lens of Social Machines, this talk discusses current activity in digital scholarship, framing it in its interdisciplinary settings.
Bio:
David De Roure is Professor of e-Research at University of Oxford, Director of the Oxford e-Research Centre, and chairs Oxford’s Digital Humanities research programme. He previously directed the Digital Social Research programme for the UK Economic and Social Research Council, and serves as a strategic advisor in new forms of data and realtime analytics. Trained in electronics and computer science, his career has involved interdisciplinary collaborations in chemistry, astrophysics, bioinformatics, social computing, digital libraries, and sensor networks. His personal research is in Computational Musicology, Web Science, and Internet of Things. He is a frequent speaker and writer on digital research and the future of scholarly communications. URL: http://www.oerc.ox.ac.uk/people/dder
The document discusses using semantic annotations and linked data in digital humanities projects. It provides examples of projects that use semantic annotations to visualize networks in historical texts and link cultural heritage data. It also describes how linked data can transform traditional scholarly workflows by linking open datasets on the web and using the web as a global database. The document outlines challenges and opportunities in applying semantic web technologies to humanities research.
The document discusses real-time IoT stream processing and large-scale data analytics for smart city applications. It describes activities related to data aggregation and abstraction through data fusion, event detection in urban data streams, and real-time adaptive urban reasoning. The activities aim to bridge the gap between raw sensor data and higher-level knowledge through semantic techniques.
This document discusses big data, social machines, and the evolving knowledge infrastructure. It notes that big data does not respect disciplinary boundaries and enables new types of research. Social machines are described as processes where people do creative work and machines do administration, allowing new forms of social processes to be created. The challenges are to foster socio-technical systems that enable sense-making using expertise, data, models, and narratives. Overall, there are shifts occurring with large data volumes, new computational infrastructure, a move from datasets to dataflows, and the need for responsible innovation.
Digital Humanities in a Linked Data World - Semantic Annotations
Dov Winer
1st International Seminar on Digital Humanities
University of Sao Paulo - Brasiliana Mindlin Library
October 2013
Digital Humanities in a Linked Data World - Semnantic AnnotationsDov Winer
This document discusses the use of semantic annotations and linked data in digital humanities projects. It begins by outlining some common "scholarly primitives" or methods used by humanities researchers, such as annotating, comparing, and representing. It then provides examples of digital humanities projects that employ techniques like semantic annotations, named entity identification, and linking open data to transform traditional scholarly workflows. Specifically, it describes projects involving networks of historical figures, semantic annotation of philosophical texts, and modeling relationships in a linked data framework. The document concludes by discussing how linked open data can treat the web as a global database and provides statistics on the growth of linked open datasets.
The document discusses the need for a new digital research infrastructure called DARIAH to support humanities research in Europe. It proposes that DARIAH would provide access to digitized cultural heritage data and tools to process this information. The infrastructure would link distributed resources across Europe and support innovative, international and interdisciplinary digital humanities research through a decentralized network of national and thematic organizations. Preparation projects are underway to define DARIAH's strategic vision, business model, technical architecture and governance structure.
Similar to Geographic Information Management Transformation (20)
Combined Illegal, Unregulated and Unreported (IUU) Vessel List.Christina Parmionova
The best available, up-to-date information on all fishing and related vessels that appear on the illegal, unregulated, and unreported (IUU) fishing vessel lists published by Regional Fisheries Management Organisations (RFMOs) and related organisations. The aim of the site is to improve the effectiveness of the original IUU lists as a tool for a wide variety of stakeholders to better understand and combat illegal fishing and broader fisheries crime.
To date, the following regional organisations maintain or share lists of vessels that have been found to carry out or support IUU fishing within their own or adjacent convention areas and/or species of competence:
Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR)
Commission for the Conservation of Southern Bluefin Tuna (CCSBT)
General Fisheries Commission for the Mediterranean (GFCM)
Inter-American Tropical Tuna Commission (IATTC)
International Commission for the Conservation of Atlantic Tunas (ICCAT)
Indian Ocean Tuna Commission (IOTC)
Northwest Atlantic Fisheries Organisation (NAFO)
North East Atlantic Fisheries Commission (NEAFC)
North Pacific Fisheries Commission (NPFC)
South East Atlantic Fisheries Organisation (SEAFO)
South Pacific Regional Fisheries Management Organisation (SPRFMO)
Southern Indian Ocean Fisheries Agreement (SIOFA)
Western and Central Pacific Fisheries Commission (WCPFC)
The Combined IUU Fishing Vessel List merges all these sources into one list that provides a single reference point to identify whether a vessel is currently IUU listed. Vessels that have been IUU listed in the past and subsequently delisted (for example because of a change in ownership, or because the vessel is no longer in service) are also retained on the site, so that the site contains a full historic record of IUU listed fishing vessels.
Unlike the IUU lists published on individual RFMO websites, which may update vessel details infrequently or not at all, the Combined IUU Fishing Vessel List is kept up to date with the best available information regarding changes to vessel identity, flag state, ownership, location, and operations.
Donate to charity during this holiday seasonSERUDS INDIA
For people who have money and are philanthropic, there are infinite opportunities to gift a needy person or child a Merry Christmas. Even if you are living on a shoestring budget, you will be surprised at how much you can do.
Donate Us
https://serudsindia.org/how-to-donate-to-charity-during-this-holiday-season/
#charityforchildren, #donateforchildren, #donateclothesforchildren, #donatebooksforchildren, #donatetoysforchildren, #sponsorforchildren, #sponsorclothesforchildren, #sponsorbooksforchildren, #sponsortoysforchildren, #seruds, #kurnool
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
This report explores the significance of border towns and spaces for strengthening responses to young people on the move. In particular it explores the linkages of young people to local service centres with the aim of further developing service, protection, and support strategies for migrant children in border areas across the region. The report is based on a small-scale fieldwork study in the border towns of Chipata and Katete in Zambia conducted in July 2023. Border towns and spaces provide a rich source of information about issues related to the informal or irregular movement of young people across borders, including smuggling and trafficking. They can help build a picture of the nature and scope of the type of movement young migrants undertake and also the forms of protection available to them. Border towns and spaces also provide a lens through which we can better understand the vulnerabilities of young people on the move and, critically, the strategies they use to navigate challenges and access support.
The findings in this report highlight some of the key factors shaping the experiences and vulnerabilities of young people on the move – particularly their proximity to border spaces and how this affects the risks that they face. The report describes strategies that young people on the move employ to remain below the radar of visibility to state and non-state actors due to fear of arrest, detention, and deportation while also trying to keep themselves safe and access support in border towns. These strategies of (in)visibility provide a way to protect themselves yet at the same time also heighten some of the risks young people face as their vulnerabilities are not always recognised by those who could offer support.
In this report we show that the realities and challenges of life and migration in this region and in Zambia need to be better understood for support to be strengthened and tuned to meet the specific needs of young people on the move. This includes understanding the role of state and non-state stakeholders, the impact of laws and policies and, critically, the experiences of the young people themselves. We provide recommendations for immediate action, recommendations for programming to support young people on the move in the two towns that would reduce risk for young people in this area, and recommendations for longer term policy advocacy.
Monitoring Health for the SDGs - Global Health Statistics 2024 - WHOChristina Parmionova
The 2024 World Health Statistics edition reviews more than 50 health-related indicators from the Sustainable Development Goals and WHO’s Thirteenth General Programme of Work. It also highlights the findings from the Global health estimates 2021, notably the impact of the COVID-19 pandemic on life expectancy and healthy life expectancy.
United Nations World Oceans Day 2024; June 8th " Awaken new dephts".Christina Parmionova
The program will expand our perspectives and appreciation for our blue planet, build new foundations for our relationship to the ocean, and ignite a wave of action toward necessary change.
Transit-Oriented Development Study Working Group Meeting
Geographic Information Management Transformation
1. GI Management Transformation:
from geometry to databased relationships
Ordnance Survey Ireland GI R&D Initiatives
Tuesday, 22 March 2016, 13:00 to 20:30 (GMT) , Maynooth University
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University & Programmable City, Maynooth University
2. How is the city translated into software and data?
Programmable City Project
Translation:
City into Code/Data
Transduction:
Code/Data Reshape City
THE CITYSOFTWARE/DATA
Discourses, Practices, Knowledge, Models
Mediation, Augmentation, Facilitation, Regulation
How do software and data reshape the city?
3. Socio-technological data assemblage
Material Platform
(infrastructure – hardware)
Code Platform
(operating system)
Code/algorithms
(software)
Data(base)
Interface
Reception/Operation
(user/usage)
Systems of thought
Forms of knowledge
Finance
Political economies
Governmentalities & legalities
Organisations and institutions
Subjectivities and communities
Marketplace
System/process
performs a task
Context
frames the system/task
Digital socio-technical assemblage
HCI, remediation studies
Critical code studies
Software studies
Critical data studies
New media studies
game studies
Critical Social Science
Science Technology Studies
Platform studies
Places
Practices
Flowline/Lifecycle
The Data Revolution, Rob Kitchin, 2014.
4. Prime 2 Models and Concepts
Skin of the earth ‘real world’ object modelling
5 skin of the earth objects
Ways
Water
Vegetation
Artificial
Exposed
Z-Layer
Superimposed Objects
Segmentation &
Connectivity
GDF1 GDF2 centrelines
Sites & Locals
Boundaries
Links objects using
persistent ID’s
Form & Function
object classification
3D data storage
(CityGML LOD2)
Grouped
21. Models are also actors
Models shape
how the world is viewed
the world of work
tools & techniques
the structure of an organization
how organizations interconnect with others
Models augment space
Models are socially constructed
by people
22. Models are also actors
Models shape
how the world is viewed
the world of work
tools & techniques
the structure of an organization
how organizations interconnect with others
Models augment space
Models are socially constructed
by people
23. Models are also actors
Models shape
how the world is viewed
the world of work
tools & techniques
the structure of an organization
how organizations interconnect with others
Models augment space
Models are socially constructed
by people
24. Ontologizing the City - From Old School National
Cartographic Based Classification toward a Rules Based
Real-World Object Oriented National Database
Object of Study
Data assemblage of OSi PRIME2
Examine how ‘real’ things are understood in
the new object oriented data model
Assess if these change how space is
modelled and then acted upon
Time frame
Jan. 2015-2018
Data Management and Ethics
ERC
Maynooth University
SSHRC Tri-Council
Case Study Outputs
Case study report
Data assemblage
Tracing the production of space
Genealogy from class to object
Academic publications
Funding
Programmable City Project
P.I. Prof. Rob Kitchin
NIRSA, Maynooth University
European Research Council Advanced
Investigator Award
ERC-2012-AdG-323636-SOFTCITY
25. Data Collection
Attend OSi & 1Spatial Road shows and public speaking events
One day coordinated field trip & group interviews at OSi Sligo
(survey data capture unit)
Examine the Prime & Prime2 flow lines
Real-time survey and data update of a building
1.5 months as an embedded researcher, OSi in Phoenix Park
One-on-one interviews with key actors (Transcribed audio recordings):
Group interview
Document Collection
Collection of objects across time for Dublin
26. Acknowledgements
The research for this paper was funded by a
European Research Council Advanced Investigator
award (ERC-2012-AdG-323636-SOFTCITY.
I would like to express my gratitude to all at
Ordnance Survey Ireland (OSi) for generously sharing
their knowledge and time.
Editor's Notes
Slide image credit: http://www.frenchpayrollexpert.fr/wp-content/uploads/2015/10/database.jpg
Map Image Source: OSi Website
Social construction of technology approach, where technology, society and culture are conceived as one of mutual shaping. In this case, how is the city translated into software and data, and in turn how do we read, understand, change the way we act and how does the city change when we read the city via software and data.
The overall objective of the Programmable City project is to examine how software and data make a difference to contemporary urbanism, and to analyze the city with “respect to four key urban practices - understanding, managing, working, and living in the city”.
This socio-technological assemblage includes the co-functioning heterogeneous elements of a large complex socio-technological system – which are loosely coupled.
The OSi is an archetypical socio-technological data assemblage. The diagram above includes context which frames how, in this case, the data model is viewed. The systems and processes views the model from a technical perspectives the objects itself, and critical social science elements are the lenses used to theoretically examine the data model, in this case there is an emphasis on Critical Data Studies and to a lesser extent platform and code/software studies.
This assemblage is evolving as case studies are undertaken, it was originally developed by Rob Kitchin in the Data Revolution and as part of the proposal for the ERC Funded Programmable City Project. Here, the flowline/lifecycle was added as that is a key aspect of the OSi data model.
I was first exposed to the new data mode, Sept. 17 2014 at the Guinness Storehouse 1Spatial roadshow. It was then that I realized that the model is fundamentally changing the way the material world is classified and modelled. I did not fully realize at the time how transformative it was also to work, organization, technology, the institution and the geo and non geo data terrain in Ireland. The changing terrain will be seen in the years to come.
See: Prime2 Data Concepts and Data Mode Overview http://www.osi.ie/wp-content/uploads/2015/04/Prime2-V-2.pdf
The OSi world is no longer about map sheets stitched together, organized as a grid, or layers of cartographic images, in the new data model the Ireland becomes a seamless, topologically consistent blanket of polygons which cover the entire surface of the Island w/no holes or gaps, but not in a map but in a database. The left is the old and the right is the new.
For example, maps were hand drawn from the original survey, these maps were then scanned and digitized/transcribed, those lines, points, polygons were arranged in sheets and were cartographically rendered, edited and managed with a tremendous amount of ‘localized’ knowledge by the cartographers. The data model is developed and these cartographic data are shipped to India for re-engineering into polygons, re-described and ascribed a unique ID. The final image is an example of how one calls up and views the new data.
For example, maps were hand drawn from the original survey, these maps were then scanned and digitized/transcribed, those lines, points, polygons were arranged in sheets and were cartographically rendered, edited and managed with a tremendous amount of ‘localized’ knowledge by the cartographers. The data model is developed and these cartographic data are shipped to India for re-engineering into polygons, re-described and ascribed a unique ID. The final image is an example of how one calls up and views the new data.
For example, maps were hand drawn from the original survey, these maps were then scanned and digitized/transcribed, those lines, points, polygons were arranged in sheets and were cartographically rendered, edited and managed with a tremendous amount of ‘localized’ knowledge by the cartographers. The data model is developed and these cartographic data are shipped to India for re-engineering into polygons, re-described and ascribed a unique ID. The final image is an example of how one calls up and views the new data.
As we have just heard from Mick Cory and Andy McGill, the OSi has always been an innovator, it has overtime pragmatically embraced technologies and has implemented innovative practices. But none quite like this one, and in this case the OSi is leading and not following technology. The institution has changed and evolved, and the scope of the OSi’s work has evolved to become a regional and global leader, setting new standards and ways of working. OSi has intelligently entered into the brave new world of big data, spatially augmenting Ireland with code/software/data from one reliable source.
This is transformative, Ireland is modelled into a topologically consistent database of polygons, which can be mapped at multiple scales in multiple formats, these polygons are also a series of linked objects that relate to other objects within the OSis collection/database of objects, or these can link to other artifacts, such as: RTE’s digital media; digitized museum and archeological collections that are engineered into linked data; 1916 letters; big data found in the commercial sector, such as utilities, property and valuation records, industry and finance, and social media, and also other aspects of the environment such as ecological zones, wind energy turbines, climate etc.
The model becomes a core infrastructure upon which new knowledge can be produced. These data can also be linked to near real time data, sensor feeds and be the framework for smart city technologies. These data may allow for the modeling of dynamic processes, ebbs and flows of water, traffic, climate. They become an authoritative, reliable, and trusted state framework dataset.
Image source http://labs.sogeti.com/wp-content/uploads/2015/10/digital-change.jpg
Socio-technological transformations include connections to the past, things have a genealogy, a history, an etymology. Nothing is fixed, things come into being, yet things get captured and fixed in a moment is important. In the Heusten station example just shown, the maps captured and fixed space in sheets, and as we know those maps and those things mapped did not come from nowhere. They too have a provenance as Andy just discussed, and as Declan and Colin will discuss after the break. They come from pre-existing models of the world, which were captured in paper, based on older geometries and these retain their etymology in Prime2, we can trace the changes. These are stored in older media, the big data of the past if you will and these too will be made accessible in digital forms and preserved in Prime2 but also in the archives.
Socio-technological transformations include connections to the past, things have a genealogy, a history, an etymology. Nothing is fixed, things come into being, yet things get captured and fixed in a moment is important. In the Heusten station example just shown, the maps captured and fixed space in sheets, and as we know those maps and those things mapped did not come from nowhere. They too have a provenance as Andy just discussed, and as Declan and Colin will discuss after the break. They come from pre-existing models of the world, which were captured in paper, based on older geometries and these retain their etymology in Prime2, we can trace the changes. These are stored in older media, the big data of the past if you will and these too will be made accessible in digital forms and preserved in Prime2 but also in the archives.
Socio-technological transformations include connections to the past, things have a genealogy, a history, an etymology. Nothing is fixed, things come into being, yet things get captured and fixed in a moment is important. In the Heusten station example just shown, the maps captured and fixed space in sheets, and as we know those maps and those things mapped did not come from nowhere. They too have a provenance as Andy just discussed, and as Declan and Colin will discuss after the break. They come from pre-existing models of the world, which were captured in paper, based on older geometries and these retain their etymology in Prime2, we can trace the changes. These are stored in older media, the big data of the past if you will and these too will be made accessible in digital forms and preserved in Prime2 but also in the archives.
Socio-technological transformations include connections to the past, things have a genealogy, a history, an etymology. Nothing is fixed, things come into being, yet things get captured and fixed in a moment is important. In the Heusten station example just shown, the maps captured and fixed space in sheets, and as we know those maps and those things mapped did not come from nowhere. They too have a provenance as Andy just discussed, and as Declan and Colin will discuss after the break. They come from pre-existing models of the world, which were captured in paper, based on older geometries and these retain their etymology in Prime2, we can trace the changes. These are stored in older media, the big data of the past if you will and these too will be made accessible in digital forms and preserved in Prime2 but also in the archives.
Those older media were the foundation of Prime, Prime2 echoes Prime. New data coming into Prime2 are topologically situated in the past, as Prime data remain the core, but these Prime data are re-engineered data, bridging the past to now, but also traces of change. New data come into Prime2 and relate to all the other data in the database, a model that is continuously and dynamically coming into being.
Models also have a past, and they too do not come from nowhere or suddenly appear. As discussed, Prime2 is an element of a large and complex socio-technological system – part of an assemblage – which interconnects with & enables other constellations of assemblages. This model has a history, and has evolved, it is based on real things and how those things fit into the world, a model of it and them, and all of those things are understood, mapped and modelled in a cohesive reality, of ‘real’ objects, and these are socially constructed by real people, with their views of the world, their knowledge about it, and their applied skill and expertise.
Models also have a past, and they too do not come from nowhere or suddenly appear. As discussed, Prime2 is an element of a large and complex socio-technological system – part of an assemblage – which interconnects with & enables other constellations of assemblages. This model has a history, and has evolved, it is based on real things and how those things fit into the world, a model of it and them, and all of those things are understood, mapped and modelled in a cohesive reality, of ‘real’ objects, and these are socially constructed by real people, with their views of the world, their knowledge about it, and their applied skill and expertise.
Models also have a past, and they too do not come from nowhere or suddenly appear. As discussed, Prime2 is an element of a large and complex socio-technological system – part of an assemblage – which interconnects with & enables other constellations of assemblages. This model has a history, and has evolved, it is based on real things and how those things fit into the world, a model of it and them, and all of those things are understood, mapped and modelled in a cohesive reality, of ‘real’ objects, and these are socially constructed by real people, with their views of the world, their knowledge about it, and their applied skill and expertise.
Genealogies are a technique used to examine the related elements of socio-technological assemblages. The above is an early illustration of the genealogy of the Prime2 data model.
As discussed at the beginning of this talk, data have social shaping qualities. The work between the OSi and the Programmable City Project, is an example of an empirical study to follow how taken for granted technologies, classifications, databases and data, which eventually normalize into routine work, whose roots eventually get forgotten, and eventually seem like natural things, infrastructure that have a technological momentum of their own, shape how the world is viewed, shape the world of work, shape the tools and techniques applied, shape the structure of an organization, and shape how an organization interconnects with others. Prime2 is augmenting space, will continue to augment Ireland. Models, it needs to be remembered are socially constructed by people. In this case a dedicated group of people at the OSi.
As discussed at the beginning of this talk, data have social shaping qualities. The work between the OSi and the Programmable City Project, is an example of an empirical study to follow how taken for granted technologies, classifications, databases and data, which eventually normalize into routine work, whose roots eventually get forgotten, and eventually seem like natural things, infrastructure that have a technological momentum of their own, shape how the world is viewed, shape the world of work, shape the tools and techniques applied, shape the structure of an organization, and shape how an organization interconnects with others. Prime2 is augmenting space, will continue to augment Ireland. Models, it needs to be remembered are socially constructed by people. In this case a dedicated group of people at the OSi.
As discussed at the beginning of this talk, data have social shaping qualities. The work between the OSi and the Programmable City Project, is an example of an empirical study to follow how taken for granted technologies, classifications, databases and data, which eventually normalize into routine work, whose roots eventually get forgotten, and eventually seem like natural things, infrastructure that have a technological momentum of their own, shape how the world is viewed, shape the world of work, shape the tools and techniques applied, shape the structure of an organization, and shape how an organization interconnects with others. Prime2 is augmenting space, will continue to augment Ireland. Models, it needs to be remembered are socially constructed by people. In this case a dedicated group of people at the OSi.
Information about the Case Study between the OSi and the Programmable City Project but undertaken by Tracey Lauriault under the Directorship of Professor Rob Kitchin.
Data collection and approaches include:
Model creation, cartography, production, photogrammetry, map preservation, data re-engineering, budget, procurement and contracting, licencing and law, marketing, CTO, SDI managers, surveyors and gate keeper
One full day interview with data modeling & data re-engineering team, including consultants & project managers
As discussed in the data assemblage: contract, requirements, specifications, modeling descriptions, flow lines, budgets, org charts, strategy documents, working wiki, historical records, code, instruction manuals, guidebooks, photos of machinery, screen captures of systems
Places in Dublin as understood in the old and the new model, and as seen or captured in the new and the old technological systems