+Note: the timetable is indicative. Details in progress
The PhD school will take place at the University Jaume I, in the Building called: “Investigació II” –> Level 0 - NB0003CC meeting room. Open GIS App Link Use the map to locate where meeting room is located inside the hosted university.
+
+Arrival of participants. Accommodation: Doña Lola
diff --git a/docs/search.json b/docs/search.json
index 419b6a1..5d9a5dd 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -4,8 +4,8 @@
"path": "index.html",
"title": "AGILE PhD School 2024",
"author": [],
- "contents": "\n\nContents\nWhy to participate?\nWhere will it take place?\nKeynote Speakers\nAnita Graser\nProf. João Porto de Albuquerque\n\nSelected Candidates\nProgramme\nMeeting room\nDay 1: Arrival to the Venue\nDay 2: Welcoming and Fundamental Academic Skills\nDay 3: GeoAI for the Social Good\nDay 4: Final presentations and closing remarks\n\nHow to apply\nFormatting instructions\nFinancial support\n\nOrganising Commitee\nSponsors\n\n\n\n\n\nNovember 27th to 29th 2024, at the Universitat Jaume I, Castellón\nde la Plana (Spain)\nThe AGILE PhD school is designed to connect PhD students from various\ncountries. Its goal is to provide a forum for PhD students to showcase\ntheir research progress, exchange ideas, engage in discussions on\ngeospatial methods, and enhance their geoinformatics-related skills.\nParticipation in the school will enable attendees to:\nBe exposed to the diversity of fields and common features of our\ndomain\nExchange ideas about the PhD process itself\nDevelop their network\nBe exposed to the reproducibility practices in the GIScience field.\nWhy to participate?\nAttending the AGILE PhD School offers a great opportunity for PhD\nstudents within the European GIScience community. Ideally for PhD\nstudents in their second year or nearing their dissertation. The school\naims to foster strong community academic connections, where participants\nwill benefit from valuable insights shared by former AGILE PhD School\nalumni.\nWe have prepared an agenda to not only enhance students’ scientific\nwriting skills but also deepen their understanding of GeoAI research.\nThe AGILE PhD school provides a platform for the students to amplify the\nimpact of their ongoing research through direct engagement with the\nAGILE community, get new ideas, and seek feedback about current\npreliminary results and share experiences about the PhD journey.\nWhere will it take place?\nThe 7th edition of the AGILE PhD school will take place in Castellón de\nla Plana, Spain. Situated between the beautiful Mediterranean Sea and\nthe stunning Sierra de Espadán mountains. The school will be hosted at\nthe University Jaume I, with the support of the Geospatial Research\nGroup - GeoTec. Submit your abstract and apply\nto be part of this AGILE PhD School edition.\n\nKeynote Speakers\nAnita Graser\n\n \n \n Is a spatial data scientist, open source GIS advocate, and author with a background in geographic information science. \n She is currently Senior Scientist at AIT - The Austrian Institute of Technology in Vienna. She serves on the QGIS project \n steering committee and has published several books about QGIS. Furthermore, she develops tools, such as the popular \n MovingPandas. Her contributions include developing QGIS plugins, writing user-friendly tutorials, and authoring books \n such as \"Learning QGIS\" and \"QGIS Map Design.\" Anita also runs a widely-followed blog, \n Free and Open Source GIS Ramblings, where she shares insights \n and tutorials on open-source GIS solutions.\n \n \n\nProf. João Porto de Albuquerque\n\n \n \n Is Professor in Urban Analytics at Urban Studies in the School of Social and Political Sciences at the University \n of Glasgow and Deputy Director of the Urban Big Data Centre (UBDC), \n where he leads the \n \"\n Urban Sustainability and Participation\" theme. Professor Porto de Albuquerque is a geographer and computer scientist \n with an interdisciplinary background who conducts research on geographic information and urban sustainability, focusing \n on addressing inequalities in data and society. His work cuts across the borders between social and computing sciences, \n as well as between the global South and the global North. His pioneering and award-winning approach to \n participatory urban analytics combines participatory methods (e.g., citizen science, participatory GIS, \n action research, participatory software design) and geo-computational data science.\n \n \n\n\nSelected Candidates\n\nProgramme\nNote: the timetable is indicative. Details in progress\nMeeting room\nThe PhD school will take place at the University Jaume I, in the Building called: “Investigació II” –> Level 0 - NB0003CC meeting room. Open GIS App Link Use the map to locate where meeting room is located inside the hosted university.\nDay 1: Arrival to the Venue\nTuesday, November 26th 2024\nArrival of participants. Accommodation: Doña Lola\nhotel\nDay 2: Welcoming and Fundamental Academic Skills\nWednesday, November 27th 2024\nFacilitators: Alina Ristea,\nHoda Bakhshi,\nDiego\nPajarito,\nFernando Benitez-Paez\nMeeting room: NB0003CC\nroom,\nEdificio de Investigación II, NB, Universitat Jaume I\nMorning session\n09:00 - 10:00 - Intro and welcoming\nCoffee break\n10:30 - 13:30 ECR Panel Discussion – What does that mean to be a PhD\nStudent (The joy and the struggles)\nLunch at Restaurante Agora in campus\nAfternoon session\n15:00 - 16:00 - Three-minute abstract presentations by participants\n16:00 - 17:00 - Scientific paper - The basic structure\n20:00 - Dinner\nDay 3: GeoAI for the Social Good\nThursday, November 28th 2024\nFacilitators: Alina Ristea,\nHoda Bakhshi,\nDiego\nPajarito,\nFernando Benitez-Paez\nMeeting room: NB0003CC\nroom,\nEdificio de Investigación II, NB, Universitat Jaume I\nMorning session\n09:00 - 10:00 Anita\nGraser ( Austrian Institute of\nTechnology in Vienna):\n\n Mobility Data Science in the Age of AI\n \"A computer can never be held accountable, therefore a computer must never make a management decision.\" (IBM 1979)\n \n The current AI hype, driven by generative AI and particularly large language models (LLMs), is creating excitement, fear, and inflated expectations. In this talk, I will argue that to transform this hype into sustainable and positive development, we need to find ways to empower people to take control of their own assistive AI technology. To achieve this, spatial data science in general, and mobility data science in particular, must up their game and embrace open-source development and collaboration.\n \n\n\n10:00 - 11:00 - Post-Keynote Discussion and Brainstorming:\nParticipants should form groups to brainstorm potential research\nquestions or projects using Geo AI and open-source tools, guided by\nthe insights from the keynote.\nEach group selects one research proposal/idea and outlines how to\nenhance it using the tools and methods discussed. Outcome required:\nDevelop a preliminary outline or draft of a potential journal paper,\nhighlighting the problem, Research Question, methodology, and expected\noutcomes.\nCoffee break\n11:30 - 13:30 - Post-Keynote Discussion and Brainstorming,\nLunch at Restaurante Agora in campus\nAfternoon session\n15:00 - 16:00 - Prof. Joao Porto de Albuquerque -\nProfessor in Urban Analytics (Urban Studies & Social Policy)\nUniversity of\nGlasgow\n\n Participatory Urban Analytics for Inclusive Data Innovations and Artificial Intelligence: Enabling Transformative Public Policy\n \n Data innovations and Artificial Intelligence have the potential to support cities in addressing the most pressing challenges posed by the current triple planetary emergency and its climate, ecology, and social inequality dimensions. However, solutions built upon biased or partial data will not address the required challenges, since they may systematically misrepresent the realities of the most vulnerable communities. To overcome this, the talk introduces an approach to participatory urban analytics which bridges citizen participation and data science to address inequalities in data and society. Results from this approach show significant social impacts in the context of resilience to flood and landslide disasters in Latin American disadvantaged communities (the Waterproofing Data and URBE Latam projects) and the improvement of access to urban infrastructure and services in informal settlements in Kenya and Nigeria (IDEAMAPS Data Ecosystem project).\n \n\n16:00 - 18:00 - Post-Keynote Discussion and Brainstorming:\nContinuation of the morning brainstorming and drafting the paper\nidea based on the keynote speakers tools, methods and suggestions.\n20:00 - Dinner: TBD\nDay 4: Final presentations and closing remarks\nFriday, November 29th 2024\nFacilitators: Alina Ristea,\nHoda Bakhshi,\nDiego\nPajarito,\nFernando Benitez-Paez\nMeeting room: NB0003CC\nroom,\nEdificio de Investigación II, NB, Universitat Jaume I\nMorning session\n10:00 - 11:00 Open Science and Reproducibility – The Turing Way\nCoffee break\n11:30 - 13:00: Final Presentation and Feedback Session:\nBased on the previous brainstorming sessions, and the progress with the\ndrafted ideas, groups should prepare a brief presentation (max 3 slide)\nof their enhanced research proposal or draft journal paper, emphasizing\nthe use or integration of keynote speakers’ tools, methods or ideas.\n13:00 - 13:30 - Closing remarks\nLunch at Restaurante Agora in campus\nHow to apply\n\nThe call to submit abstract has finished and the candidates were\nalready selected, please keep an eye on the next AGILE PhD School.\n\nTo join the AGILE PhD School 2024, participants are required to submit a\n300 to 500-word abstract summarising their ongoing research. The\nabstract may include preliminary results and highlight the relevance of\nyour work to the main topic of the AGILE PhD School: GeoAI for the\nSocial Good.\nSubmit your abstract to:\nFernando.Benitez@st-andrews.ac.uk.\nSubmission Deadline: August 27, 2024\nYour submission will be evaluated based on the clarity of your research,\nthe significance of your preliminary findings, and their potential\nimpact on the field of GeoAI.\nFormatting instructions\nAbstracts must be prepared using either the Word Document template or\nthe LaTeX Document template provided at\nhttps://www.agile-giscience-series.net/agile-giss-templates.html.\nAbstracts must be written in English according to the formatting\nguidelines. Note: Latex recommended editor: Overleaf.\nFinancial support\nFinancial assistance is available to the selected participants. While we\nwish we could cover all the related expenses, our budget is limited, and\nparticipants may be required to contribute. More details will be\nprovided to the selected participants.\nOrganising Commitee\nCarlos Granell - University Jaime I,\nSpain\nAlina Ristea - UCL, The\nUK\nHoda Bakhshi -\nUniversity of Zurich, Switzerland\nDiego\nPajarito -\nUniversity of Glasgow, The UK\nFernando Benitez-Paez -\nUniversity of St Andrews, The UK\nSponsors\n\n\n\n\n",
- "last_modified": "2024-10-20T19:51:38+01:00"
+ "contents": "\n\nContents\nWhy to participate?\nWhere will it take place?\nKeynote Speakers\nAnita Graser\nProf. João Porto de Albuquerque\n\nSelected Candidates\nProgramme\nMeeting room\nDay 1: Arrival to the Venue\nDay 2: Welcoming and Fundamental Academic Skills\nDay 3: GeoAI for the Social Good\nDay 4: Final presentations and closing remarks\n\nHow to apply\nFormatting instructions\nFinancial support\n\nOrganising Commitee\nSponsors\n\n\n\n\n\nNovember 27th to 29th 2024, at the Universitat Jaume I, Castellón\nde la Plana (Spain)\nThe AGILE PhD school is designed to connect PhD students from various\ncountries. Its goal is to provide a forum for PhD students to showcase\ntheir research progress, exchange ideas, engage in discussions on\ngeospatial methods, and enhance their geoinformatics-related skills.\nParticipation in the school will enable attendees to:\nBe exposed to the diversity of fields and common features of our\ndomain\nExchange ideas about the PhD process itself\nDevelop their network\nBe exposed to the reproducibility practices in the GIScience field.\nWhy to participate?\nAttending the AGILE PhD School offers a great opportunity for PhD\nstudents within the European GIScience community. Ideally for PhD\nstudents in their second year or nearing their dissertation. The school\naims to foster strong community academic connections, where participants\nwill benefit from valuable insights shared by former AGILE PhD School\nalumni.\nWe have prepared an agenda to not only enhance students’ scientific\nwriting skills but also deepen their understanding of GeoAI research.\nThe AGILE PhD school provides a platform for the students to amplify the\nimpact of their ongoing research through direct engagement with the\nAGILE community, get new ideas, and seek feedback about current\npreliminary results and share experiences about the PhD journey.\nWhere will it take place?\nThe 7th edition of the AGILE PhD school will take place in Castellón de\nla Plana, Spain. Situated between the beautiful Mediterranean Sea and\nthe stunning Sierra de Espadán mountains. The school will be hosted at\nthe University Jaume I, with the support of the Geospatial Research\nGroup - GeoTec.\n\n \nKeynote Speakers\nAnita Graser\n\n \n \n Is a spatial data scientist, open source GIS advocate, and author with a background in geographic information science. \n She is currently Senior Scientist at AIT - The Austrian Institute of Technology in Vienna. She serves on the QGIS project \n steering committee and has published several books about QGIS. Furthermore, she develops tools, such as the popular \n MovingPandas. Her contributions include developing QGIS plugins, writing user-friendly tutorials, and authoring books \n such as \"Learning QGIS\" and \"QGIS Map Design.\" Anita also runs a widely-followed blog, \n Free and Open Source GIS Ramblings, where she shares insights \n and tutorials on open-source GIS solutions.\n \n \n\nProf. João Porto de Albuquerque\n\n \n \n Is Professor in Urban Analytics at Urban Studies in the School of Social and Political Sciences at the University \n of Glasgow and Deputy Director of the Urban Big Data Centre (UBDC), \n where he leads the \n \"\n Urban Sustainability and Participation\" theme. Professor Porto de Albuquerque is a geographer and computer scientist \n with an interdisciplinary background who conducts research on geographic information and urban sustainability, focusing \n on addressing inequalities in data and society. His work cuts across the borders between social and computing sciences, \n as well as between the global South and the global North. His pioneering and award-winning approach to \n participatory urban analytics combines participatory methods (e.g., citizen science, participatory GIS, \n action research, participatory software design) and geo-computational data science.\n \n \n\n\nSelected Candidates\n\nProgramme\nNote: the timetable is indicative. Details in progress\nMeeting room\nThe PhD school will take place at the University Jaume I, in the Building called: “Investigació II” –> Level 0 - NB0003CC meeting room. Open GIS App Link Use the map to locate where meeting room is located inside the hosted university.\n\n \nDay 1: Arrival to the Venue\nTuesday, November 26th 2024\nArrival of participants. Accommodation: Doña Lola\nhotel\nDay 2: Welcoming and Fundamental Academic Skills\nWednesday, November 27th 2024\nFacilitators: Alina Ristea,\nHoda Bakhshi,\nDiego\nPajarito,\nFernando Benitez-Paez\nMeeting room: NB0003CC\nroom,\nEdificio de Investigación II, NB, Universitat Jaume I\nMorning session\n09:00 - 10:00 - Intro and welcoming\nCoffee break\n10:30 - 13:30 ECR Panel Discussion – What does that mean to be a PhD\nStudent (The joy and the struggles)\nLunch at Restaurante Agora in campus\nAfternoon session\n15:00 - 16:00 - Three-minute abstract presentations by participants\n16:00 - 17:00 - Scientific paper - The basic structure\n20:00 - Dinner\nDay 3: GeoAI for the Social Good\nThursday, November 28th 2024\nFacilitators: Alina Ristea,\nHoda Bakhshi,\nDiego\nPajarito,\nFernando Benitez-Paez\nMeeting room: NB0003CC\nroom,\nEdificio de Investigación II, NB, Universitat Jaume I\nMorning session\n09:00 - 10:00 Anita\nGraser ( Austrian Institute of\nTechnology in Vienna):\n\n Mobility Data Science in the Age of AI\n \"A computer can never be held accountable, therefore a computer must never make a management decision.\" (IBM 1979)\n \n The current AI hype, driven by generative AI and particularly large language models (LLMs), is creating excitement, fear, and inflated expectations. In this talk, I will argue that to transform this hype into sustainable and positive development, we need to find ways to empower people to take control of their own assistive AI technology. To achieve this, spatial data science in general, and mobility data science in particular, must up their game and embrace open-source development and collaboration.\n \n\n\n10:00 - 11:00 - Post-Keynote Discussion and Brainstorming:\nParticipants should form groups to brainstorm potential research\nquestions or projects using Geo AI and open-source tools, guided by\nthe insights from the keynote.\nEach group selects one research proposal/idea and outlines how to\nenhance it using the tools and methods discussed. Outcome required:\nDevelop a preliminary outline or draft of a potential journal paper,\nhighlighting the problem, Research Question, methodology, and expected\noutcomes.\nCoffee break\n11:30 - 13:30 - Post-Keynote Discussion and Brainstorming,\nLunch at Restaurante Agora in campus\nAfternoon session\n15:00 - 16:00 - Prof. Joao Porto de Albuquerque -\nProfessor in Urban Analytics (Urban Studies & Social Policy)\nUniversity of\nGlasgow\n\n Participatory Urban Analytics for Inclusive Data Innovations and Artificial Intelligence: Enabling Transformative Public Policy\n \n Data innovations and Artificial Intelligence have the potential to support cities in addressing the most pressing challenges posed by the current triple planetary emergency and its climate, ecology, and social inequality dimensions. However, solutions built upon biased or partial data will not address the required challenges, since they may systematically misrepresent the realities of the most vulnerable communities. To overcome this, the talk introduces an approach to participatory urban analytics which bridges citizen participation and data science to address inequalities in data and society. Results from this approach show significant social impacts in the context of resilience to flood and landslide disasters in Latin American disadvantaged communities (the Waterproofing Data and URBE Latam projects) and the improvement of access to urban infrastructure and services in informal settlements in Kenya and Nigeria (IDEAMAPS Data Ecosystem project).\n \n\n16:00 - 18:00 - Post-Keynote Discussion and Brainstorming:\nContinuation of the morning brainstorming and drafting the paper\nidea based on the keynote speakers tools, methods and suggestions.\n20:00 - Dinner: TBD\nDay 4: Final presentations and closing remarks\nFriday, November 29th 2024\nFacilitators: Alina Ristea,\nHoda Bakhshi,\nDiego\nPajarito,\nFernando Benitez-Paez\nMeeting room: NB0003CC\nroom,\nEdificio de Investigación II, NB, Universitat Jaume I\nMorning session\n10:00 - 11:00 Open Science and Reproducibility – The Turing Way\nCoffee break\n11:30 - 13:00: Final Presentation and Feedback Session:\nBased on the previous brainstorming sessions, and the progress with the\ndrafted ideas, groups should prepare a brief presentation (max 3 slide)\nof their enhanced research proposal or draft journal paper, emphasizing\nthe use or integration of keynote speakers’ tools, methods or ideas.\n13:00 - 13:30 - Closing remarks\nLunch at Restaurante Agora in campus\nHow to apply\n\nThe call to submit abstract has finished and the candidates were\nalready selected, please keep an eye on the next AGILE PhD School.\n\nTo join the AGILE PhD School 2024, participants are required to submit a\n300 to 500-word abstract summarising their ongoing research. The\nabstract may include preliminary results and highlight the relevance of\nyour work to the main topic of the AGILE PhD School: GeoAI for the\nSocial Good.\nSubmit your abstract to:\nFernando.Benitez@st-andrews.ac.uk.\nSubmission Deadline: August 27, 2024\nYour submission will be evaluated based on the clarity of your research,\nthe significance of your preliminary findings, and their potential\nimpact on the field of GeoAI.\nFormatting instructions\nAbstracts must be prepared using either the Word Document template or\nthe LaTeX Document template provided at\nhttps://www.agile-giscience-series.net/agile-giss-templates.html.\nAbstracts must be written in English according to the formatting\nguidelines. Note: Latex recommended editor: Overleaf.\nFinancial support\nFinancial assistance is available to the selected participants. While we\nwish we could cover all the related expenses, our budget is limited, and\nparticipants may be required to contribute. More details will be\nprovided to the selected participants.\nOrganising Commitee\nCarlos Granell - University Jaime I,\nSpain\nAlina Ristea - UCL, The\nUK\nHoda Bakhshi -\nUniversity of Zurich, Switzerland\nDiego\nPajarito -\nUniversity of Glasgow, The UK\nFernando Benitez-Paez -\nUniversity of St Andrews, The UK\nSponsors\n\n\n\n\n",
+ "last_modified": "2024-10-21T10:56:30+01:00"
}
],
"collections": []
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
index 22d107a..9089ac2 100644
--- a/docs/sitemap.xml
+++ b/docs/sitemap.xml
@@ -2,6 +2,6 @@
7th Edition: GeoAI for the Social Good November 27th to 29th 2024, at the Universitat Jaume I, Castellón
+de la Plana (Spain) The AGILE PhD school is designed to connect PhD students from various
+countries. Its goal is to provide a forum for PhD students to showcase
+their research progress, exchange ideas, engage in discussions on
+geospatial methods, and enhance their geoinformatics-related skills. Participation in the school will enable attendees to: Attending the AGILE PhD School offers a great opportunity for PhD
+students within the European GIScience community. Ideally for PhD
+students in their second year or nearing their dissertation. The school
+aims to foster strong community academic connections, where participants
+will benefit from valuable insights shared by former AGILE PhD School
+alumni. We have prepared an agenda to not only enhance students’ scientific
+writing skills but also deepen their understanding of GeoAI research.
+The AGILE PhD school provides a platform for the students to amplify the
+impact of their ongoing research through direct engagement with the
+AGILE community, get new ideas, and seek feedback about current
+preliminary results and share experiences about the PhD journey. The 7th edition of the AGILE PhD school will take place in Castellón de
+la Plana, Spain. Situated between the beautiful Mediterranean Sea and
+the stunning Sierra de Espadán mountains. The school will be hosted at
+the University Jaume I, with the support of the Geospatial Research
+Group - GeoTec.
+ Is a spatial data scientist, open source GIS advocate, and author with a background in geographic information science.
+ She is currently Senior Scientist at AIT - The Austrian Institute of Technology in Vienna. She serves on the QGIS project
+ steering committee and has published several books about QGIS. Furthermore, she develops tools, such as the popular
+ MovingPandas. Her contributions include developing QGIS plugins, writing user-friendly tutorials, and authoring books
+ such as "Learning QGIS" and "QGIS Map Design." Anita also runs a widely-followed blog,
+ Free and Open Source GIS Ramblings, where she shares insights
+ and tutorials on open-source GIS solutions.
+
+ Is Professor in Urban Analytics at Urban Studies in the School of Social and Political Sciences at the University
+ of Glasgow and Deputy Director of the Urban Big Data Centre (UBDC),
+ where he leads the
+ "
+ Urban Sustainability and Participation" theme. Professor Porto de Albuquerque is a geographer and computer scientist
+ with an interdisciplinary background who conducts research on geographic information and urban sustainability, focusing
+ on addressing inequalities in data and society. His work cuts across the borders between social and computing sciences,
+ as well as between the global South and the global North. His pioneering and award-winning approach to
+ participatory urban analytics combines participatory methods (e.g., citizen science, participatory GIS,
+ action research, participatory software design) and geo-computational data science.
+ Note: the timetable is indicative. Details in progress The PhD school will take place at the University Jaume I, in the Building called: “Investigació II” –> Level 0 - NB0003CC meeting room. Open GIS App Link Use the map to locate where meeting room is located inside the hosted university. Arrival of participants. Accommodation: Doña Lola
+hotel Facilitators: Alina Ristea,
+Hoda Bakhshi,
+Diego
+Pajarito,
+Fernando Benitez-Paez Meeting room: NB0003CC
+room,
+Edificio de Investigación II, NB, Universitat Jaume I Morning session Afternoon session Facilitators: Alina Ristea,
+Hoda Bakhshi,
+Diego
+Pajarito,
+Fernando Benitez-Paez Meeting room: NB0003CC
+room,
+Edificio de Investigación II, NB, Universitat Jaume I Morning session "A computer can never be held accountable, therefore a computer must never make a management decision." (IBM 1979)
+ The current AI hype, driven by generative AI and particularly large language models (LLMs), is creating excitement, fear, and inflated expectations. In this talk, I will argue that to transform this hype into sustainable and positive development, we need to find ways to empower people to take control of their own assistive AI technology. To achieve this, spatial data science in general, and mobility data science in particular, must up their game and embrace open-source development and collaboration.
+ Each group selects one research proposal/idea and outlines how to
+enhance it using the tools and methods discussed. Outcome required:
+Develop a preliminary outline or draft of a potential journal paper,
+highlighting the problem, Research Question, methodology, and expected
+outcomes. Coffee break 11:30 - 13:30 - Post-Keynote Discussion and Brainstorming, Lunch at Restaurante Agora in campus Afternoon session Data innovations and Artificial Intelligence have the potential to support cities in addressing the most pressing challenges posed by the current triple planetary emergency and its climate, ecology, and social inequality dimensions. However, solutions built upon biased or partial data will not address the required challenges, since they may systematically misrepresent the realities of the most vulnerable communities. To overcome this, the talk introduces an approach to participatory urban analytics which bridges citizen participation and data science to address inequalities in data and society. Results from this approach show significant social impacts in the context of resilience to flood and landslide disasters in Latin American disadvantaged communities (the Waterproofing Data and URBE Latam projects) and the improvement of access to urban infrastructure and services in informal settlements in Kenya and Nigeria (IDEAMAPS Data Ecosystem project).
+ 16:00 - 18:00 - Post-Keynote Discussion and Brainstorming:
+Continuation of the morning brainstorming and drafting the paper
+idea based on the keynote speakers tools, methods and suggestions. 20:00 - Dinner: TBD Facilitators: Alina Ristea,
+Hoda Bakhshi,
+Diego
+Pajarito,
+Fernando Benitez-Paez Meeting room: NB0003CC
+room,
+Edificio de Investigación II, NB, Universitat Jaume I Morning session Based on the previous brainstorming sessions, and the progress with the
+drafted ideas, groups should prepare a brief presentation (max 3 slide)
+of their enhanced research proposal or draft journal paper, emphasizing
+the use or integration of keynote speakers’ tools, methods or ideas. 13:00 - 13:30 - Closing remarks Lunch at Restaurante Agora in campus The call to submit abstract has finished and the candidates were
+already selected, please keep an eye on the next AGILE PhD School. To join the AGILE PhD School 2024, participants are required to submit a
+300 to 500-word abstract summarising their ongoing research. The
+abstract may include preliminary results and highlight the relevance of
+your work to the main topic of the AGILE PhD School: GeoAI for the
+Social Good. Your submission will be evaluated based on the clarity of your research,
+the significance of your preliminary findings, and their potential
+impact on the field of GeoAI. Abstracts must be prepared using either the Word Document template or
+the LaTeX Document template provided at
+https://www.agile-giscience-series.net/agile-giss-templates.html.
+Abstracts must be written in English according to the formatting
+guidelines. Note: Latex recommended editor: Overleaf. Financial assistance is available to the selected participants. While we
+wish we could cover all the related expenses, our budget is limited, and
+participants may be required to contribute. More details will be
+provided to the selected participants. If you see mistakes or want to suggest changes, please create an issue on the source repository. Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/BEGIN-StAndrews/agilephdschool2024, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
+
+```
## Keynote Speakers
@@ -133,6 +136,13 @@ to be part of this AGILE PhD School edition.
The PhD school will take place at the University Jaume I, in the Building called: **"Investigació II"** --> Level 0 - **NB0003CC meeting room**. [Open GIS App Link](https://gis.uji.es/ujiapps/bessodigital/localitzacioespais/?query=1831cf62f4d-layer-3,codificacion,NB0003CC) Use the map to locate where meeting room is located inside the hosted university.
+
+```{=html}
+
+
+
+```
+
### Day 1: Arrival to the Venue
#### Tuesday, November 26th 2024
diff --git a/index.knit.html b/index.knit.html
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+
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+
+
+
+
+
+
+
+
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+
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+
+
+
+
+
+
+
+
+
+
+AGILE PhD School 2024
+
+
+
+
+
+
+
+
+
+
+
+Why to participate?
+Where will it take place?
+
+
+
+Keynote Speakers
+Anita Graser
+
+
+
+
+
+Prof. João Porto de Albuquerque
+
+
+
+
+
+
+Selected Candidates
+
+Programme
+Meeting room
+
+
+
+Day 1: Arrival to the Venue
+Tuesday, November 26th 2024
+Day 2: Welcoming and Fundamental Academic Skills
+Wednesday, November 27th 2024
+
+
+
+
+Day 3: GeoAI for the Social Good
+Thursday, November 28th 2024
+
+
+
+
+
+Mobility Data Science in the Age of AI
+
+
+
+
+
+
+
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+Participatory Urban Analytics for Inclusive Data Innovations and Artificial Intelligence: Enabling Transformative Public Policy
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+Day 4: Final presentations and closing remarks
+Friday, November 29th 2024
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+How to apply
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+August 27, 2024Formatting instructions
+Financial support
+Organising Commitee
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+Sponsors
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Corrections
+Reuse
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