From 0fa41286f926a1c8d49d07168a5a740c12a73fd2 Mon Sep 17 00:00:00 2001
From: mfbenitezp <fbenitez@turing.ac.uk>
Date: Sun, 20 Oct 2024 19:52:37 +0100
Subject: [PATCH] updating tables

---
 docs/index.html  | 192 ++++++++++++++++-------------------------------
 docs/search.json |   4 +-
 docs/sitemap.xml |   2 +-
 index.Rmd        | 163 ++++++++++++++++------------------------
 4 files changed, 131 insertions(+), 230 deletions(-)

diff --git a/docs/index.html b/docs/index.html
index 47f5496..9f1b1e7 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -2501,7 +2501,11 @@ <h3>Contents</h3>
 <ul>
 <li><a href="#why-to-participate" id="toc-why-to-participate">Why to participate?</a></li>
 <li><a href="#where-will-it-take-place" id="toc-where-will-it-take-place">Where will it take place?</a></li>
-<li><a href="#keynote-speakers" id="toc-keynote-speakers">Keynote Speakers</a></li>
+<li><a href="#keynote-speakers" id="toc-keynote-speakers">Keynote Speakers</a>
+<ul>
+<li><a href="#anita-graser" id="toc-anita-graser"><strong>Anita Graser</strong></a></li>
+<li><a href="#prof.-joão-porto-de-albuquerque" id="toc-prof.-joão-porto-de-albuquerque"><strong>Prof. João Porto de Albuquerque</strong></a></li>
+</ul></li>
 <li><a href="#selected-candidates" id="toc-selected-candidates">Selected Candidates</a></li>
 <li><a href="#programme" id="toc-programme">Programme</a>
 <ul>
@@ -2561,84 +2565,46 @@ <h2 id="where-will-it-take-place">Where will it take place?</h2>
 to be part of this AGILE PhD School edition.</p>
 <p><img src="assets/venue.png" /></p>
 <h2 id="keynote-speakers">Keynote Speakers</h2>
-<table>
-<colgroup>
-<col style="width: 48%" />
-<col style="width: 51%" />
-</colgroup>
-<thead>
-<tr class="header">
-<th><h3 id="anita-graser"><strong>Anita Graser</strong></h3></th>
-<th></th>
-</tr>
-</thead>
-<tbody>
-<tr class="odd">
-<td><img src="assets/anita.png" /></td>
-<td>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, <a href="https://anitagraser.com/">Free and
-Open Source GIS Rambl
-ings</a>, where
-she shares insights and tutorials on
-open-source GIS solutions.</td>
-</tr>
-<tr class="even">
-<td><h3 id="prof.-joão-porto-de-albuquerque">Prof. João Porto de Albuquerque</h3></td>
-<td></td>
-</tr>
-<tr class="odd">
-<td><img src="assets/joao.jpg" /></td>
-<td>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
-<a href="https://www.ubdc.ac.uk/">Urban Big Data Centre (
-UBDC)</a>, where he
-leads the “<a href="htt%20ps://www.ubdc.ac.u%20k/re%%2020search/%20research-projects?topic=U%20r%20ban+Su%20stainability+%26+Participation">Urban Sustainability and
-Partic
-ipation</a>”
-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 addressinginequalities 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 <strong>participatory urban analytics</strong>
-combines participatory methods (e.g.,
-citizen science, participatory GIS,
-action research, participatory software
-design) and geo-computational data
-science.</td>
-</tr>
-</tbody>
-</table>
-<hr />
+<h3 id="anita-graser"><strong>Anita Graser</strong></h3>
+<div style="display: flex; align-items: flex-start; flex-wrap: wrap;">
+    <img src="assets/anita.png" alt="Anita Graser" style="width: 200px; margin-right: 20px;">
+    <div style="flex: 1;">
+        <p>
+            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, 
+            <a href="https://anitagraser.com/" target="_blank">Free and Open Source GIS Ramblings</a>, where she shares insights 
+            and tutorials on open-source GIS solutions.
+        </p>
+    </div>
+</div>
+<h3 id="prof.-joão-porto-de-albuquerque"><strong>Prof. João Porto de Albuquerque</strong></h3>
+<div style="display: flex; align-items: flex-start; flex-wrap: wrap;">
+    <img src="assets/joao.jpg" alt="Professor Porto de Albuquerque" style="width: 200px; margin-right: 20px;">
+    <div style="flex: 1;">
+        <p>
+            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 <a href="https://www.ubdc.ac.uk/" target="_blank">Urban Big Data Centre (UBDC)</a>, 
+            where he leads the 
+            "<a href="https://www.ubdc.ac.uk/research/research-projects?topic=Urban+Sustainability+%26+Participation" target="_blank">
+            Urban Sustainability and Participation</a>" 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 
+            <strong>participatory urban analytics</strong> combines participatory methods (e.g., citizen science, participatory GIS, 
+            action research, participatory software design) and geo-computational data science.
+        </p>
+    </div>
+</div>
+
 <h2 id="selected-candidates">Selected Candidates</h2>
 <iframe src="https://storymaps.arcgis.com/stories/6a7281f6f5ad417eb3da70151a67bac2?cover=false" width="100%" height="700px" frameborder="0" allowfullscreen allow="geolocation"></iframe>
 <h2 id="programme">Programme</h2>
 <p><em>Note: the timetable is indicative. Details in progress</em></p>
 <h3 id="meeting-room">Meeting room</h3>
-<p>The school will take place at the University Jaume I, in the Building called: <strong>“Investigació II”</strong> –&gt; Level 0 - <strong>NB0003CC meeting room</strong>. Use the following map to locate where this room is located inside the hosted university.</p>
-<iframe src="https://gis.uji.es/ujiapps/bessodigital/localitzacioespais/?query=1831cf62f4d-layer-3,codificacion,NB0003CC" style="width:100%; height:600px; border:none;" sandbox="allow-same-origin allow-scripts allow-popups"></iframe>
-
+<p>The PhD school will take place at the University Jaume I, in the Building called: <strong>“Investigació II”</strong> –&gt; Level 0 - <strong>NB0003CC meeting room</strong>. <a href="https://gis.uji.es/ujiapps/bessodigital/localitzacioespais/?query=1831cf62f4d-layer-3,codificacion,NB0003CC">Open GIS App Link</a> Use the map to locate where meeting room is located inside the hosted university.</p>
 <h3 id="day-1-arrival-to-the-venue">Day 1: Arrival to the Venue</h3>
 <h4 id="tuesday-november-26th-2024">Tuesday, November 26th 2024</h4>
 <p>Arrival of participants. Accommodation: <a href="http://www.hoteldonalola.com/">Doña Lola
@@ -2679,33 +2645,23 @@ <h4 id="thursday-november-28th-2024">Thursday, November 28th 2024</h4>
 Edificio de Investigación II, NB, Universitat Jaume I</p>
 <p><strong>Morning session</strong></p>
 <ul>
-<li><p>09:00 - 10:00 <a href="https://anitagraser.com/">Anita
+<li>09:00 - 10:00 <a href="https://anitagraser.com/">Anita
 Graser</a> ( <a href="http://www.ait.ac.at/">Austrian Institute of
-Technology</a> in Vienna):</p>
-<table>
-<colgroup>
-<col style="width: 100%" />
-</colgroup>
-<tbody>
-<tr class="odd">
-<td><h3 id="mobility-data-science-in-the-age-of-ai.">Mobility Data Science in the Age of AI.</h3>
-<p>A computer can never be held accountable, therefore a computer must
-never make a management decision.” (IBM 1979)</p>
-<p>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.</p></td>
-</tr>
-</tbody>
-</table></li>
-<li><p>10:00 - 11:00 - Post-Keynote Discussion and Brainstorming:
+Technology</a> in Vienna):</li>
+</ul>
+    <div style="border: 1px solid #ccc; padding: 10px; border-radius: 8px; max-width: 800px; margin: auto; font-family: Arial, sans-serif;">
+    <h3>Mobility Data Science in the Age of AI</h3>
+    <p> "A computer can never be held accountable, therefore a computer must never make a management decision." (IBM 1979)
+    </p>
+    <p> 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.
+    </p>
+</div>
+
+<ul>
+<li>10:00 - 11:00 - Post-Keynote Discussion and Brainstorming:
 Participants should form groups to brainstorm potential research
 questions or projects using Geo AI and open-source tools, guided by
-the insights from the keynote.</p></li>
+the insights from the keynote.</li>
 </ul>
 <p>Each group selects one research proposal/idea and outlines how to
 enhance it using the tools and methods discussed. Outcome required:
@@ -2719,37 +2675,19 @@ <h4 id="thursday-november-28th-2024">Thursday, November 28th 2024</h4>
 </ul>
 <p><strong>Afternoon session</strong></p>
 <ul>
-<li><p>15:00 - 16:00 - <a href="https://www.gla.ac.uk/schools/socialpolitical/staff/joaoportodealbuquerque/">Prof. Joao Porto de Albuquerque -
+<li>15:00 - 16:00 - <a href="https://www.gla.ac.uk/schools/socialpolitical/staff/joaoportodealbuquerque/">Prof. Joao Porto de Albuquerque -
 Professor in Urban Analytics (Urban Studies &amp; Social Policy)
 University of
-Glasgow</a></p>
-<table>
-<colgroup>
-<col style="width: 100%" />
-</colgroup>
-<tbody>
-<tr class="odd">
-<td><h3 id="participatory-urban-analytics-for-inclusive-data">Participatory Urban Analytics for Inclusive Data</h3>
-<h3 id="innovations-and-artificial-intelligence-enabling">Innovations and Artificial Intelligence: Enabling</h3>
-<h3 id="transformative-public-policy">Transformative Public Policy</h3>
-<p>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).</p></td>
-</tr>
-</tbody>
-</table></li>
+Glasgow</a></li>
+</ul>
+
+<div style="border: 1px solid #ccc; padding: 10px; border-radius: 8px; max-width: 800px; margin: auto; font-family: Arial, sans-serif;">
+    <h3>Participatory Urban Analytics for Inclusive Data Innovations and Artificial Intelligence: Enabling Transformative Public Policy</h3>
+    
+    <p> 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).
+    </p>
+</div>
+<ul>
 <li><p>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.</p></li>
diff --git a/docs/search.json b/docs/search.json
index d1b0553..419b6a1 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\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\nIs a spatial data scientist, open source\nGIS advocate, and author with a\nbackground in geographic information\nscience. She is currently Senior\nScientist at AIT - The Austrian Institute\nof Technology in Vienna. She serves on\nthe QGIS project steering committee and\nhas published several books about QGIS.\nFurthermore, she develops tools, such as\nthe popular MovingPandas. Her\ncontributions include developing QGIS\nplugins, writing user-friendly tutorials,\nand authoring books such as “Learning\nQGIS” and “QGIS Map Design.” Anita also\nruns a widely-followed blog, Free and\nOpen Source GIS Rambl\nings, where\nshe shares insights and tutorials on\nopen-source GIS solutions.\nProf. João Porto de Albuquerque\n\n\nIs Professor in Urban Analytics at Urban\nStudies in the School of Social and\nPolitical Sciences at the University\nof Glasgow and Deputy Director of the\nUrban Big Data Centre (\nUBDC), where he\nleads the “Urban Sustainability and\nPartic\nipation”\ntheme. Professor Porto de Albuquerque is\na geographer and computer scientist with\nan interdisciplinary background who\nconducts research on geographic\ninformation and urban sustainability,\nfocusing on addressinginequalities in |\ndata and society. His work cuts across\nthe borders between social and computing\nsciences, as well as between the global\nSouth and the global North. His\npioneering and award-winning approach\nto participatory urban analytics\ncombines participatory methods (e.g.,\ncitizen science, participatory GIS,\naction research, participatory software\ndesign) and geo-computational data\nscience.\nSelected Candidates\n\nProgramme\nNote: the timetable is indicative. Details in progress\nMeeting room\nThe school will take place at the University Jaume I, in the Building called: “Investigació II” –> Level 0 - NB0003CC meeting room. Use the following map to locate where this 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):\nMobility Data Science in the Age of AI.\nA computer can never be held accountable, therefore a computer must\nnever make a management decision.” (IBM 1979)\nThe current AI hype, driven by generative AI and particularly large\nlanguage models (LLMs), is creating excitement, fear, and inflated\nexpectations. In this talk, I will argue that to transform this hype\ninto sustainable and positive development, we need to find ways to\nempower people to take control of their own assistive AI technology.\nTo achieve this, spatial data science in general, and mobility data\nscience in particular, must up their game and embrace open-source\ndevelopment and collaboration.\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\nParticipatory Urban Analytics for Inclusive Data\nInnovations and Artificial Intelligence: Enabling\nTransformative Public Policy\nData innovations and Artificial Intelligence have the potential to\nsupport cities in addressing the most pressing challenges posed by\nthe current triple planetary emergency and its climate, ecology and\nsocial inequality dimensions. However, solutions built upon biased or\npartial data will not address the required challenges, since they may\nsystematically misrepresent the realities of the most vulnerable\ncommunities. To overcome this, the talk introduces an approach\nto participatory urban analytics which bridges citizen participation\nand data science to address inequalities in data and society. Results\nfrom this approach show significant social impacts in the context of\nresilience to flood and landslide disasters in Latin American\ndisadvantaged communities (the Waterproofing Data and URBE Latam\nprojects) and the improvement of access to urban infrastructure and\nservices in informal settlements in Kenya and Nigeria (IDEAMAPS Data\nEcosystem project).\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": "2024-10-20T18:30:34+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. 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"
     }
   ],
   "collections": []
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
index 3e87708..22d107a 100644
--- a/docs/sitemap.xml
+++ b/docs/sitemap.xml
@@ -2,6 +2,6 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9 http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd" version="1.0">
   <url>
     <loc>https://begin-standrews.github.io/agilephdschool2024/</loc>
-    <lastmod>2024-10-20T18:30:02+01:00</lastmod>
+    <lastmod>2024-10-20T19:51:31+01:00</lastmod>
   </url>
 </urlset>
diff --git a/index.Rmd b/index.Rmd
index 2ffcf3f..19960cd 100644
--- a/index.Rmd
+++ b/index.Rmd
@@ -75,62 +75,48 @@ to be part of this AGILE PhD School edition.
 
 ## Keynote Speakers
 
-+-----------------------------------------+-------------------------------------------+
-| ### **Anita Graser**                    |                                           |
-+=========================================+===========================================+
-| ![](assets/anita.png)                   | 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 Rambl                     |
-|                                         | ings](https://anitagraser.com/), where    |
-|                                         | she shares insights and tutorials on      |
-|                                         | open-source GIS solutions.                |
-+-----------------------------------------+-------------------------------------------+
-| ### Prof. João Porto de Albuquerque     |                                           |
-+-----------------------------------------+-------------------------------------------+
-| ![](assets/joao.jpg)                    | 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)](https://www.ubdc.ac.uk/), where he |
-|                                         | leads the "[Urban Sustainability and      |
-|                                         | Partic                                    |
-|                                         | ipation](htt%20ps://www.ubdc.ac.u%20k/re% |
-|                                         | 20search/%20research-projects?topic=U%20r |
-|                                         | ban+Su%20stainability+%26+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 addressinginequalities 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.                                  |
-+-----------------------------------------+-------------------------------------------+
-
-------------------------------------------------------------------------
+### **Anita Graser**
+
+```{=html}
+<div style="display: flex; align-items: flex-start; flex-wrap: wrap;">
+    <img src="assets/anita.png" alt="Anita Graser" style="width: 200px; margin-right: 20px;">
+    <div style="flex: 1;">
+        <p>
+            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, 
+            <a href="https://anitagraser.com/" target="_blank">Free and Open Source GIS Ramblings</a>, where she shares insights 
+            and tutorials on open-source GIS solutions.
+        </p>
+    </div>
+</div>
+```
+
+### **Prof. João Porto de Albuquerque**
+
+```{=html}
+<div style="display: flex; align-items: flex-start; flex-wrap: wrap;">
+    <img src="assets/joao.jpg" alt="Professor Porto de Albuquerque" style="width: 200px; margin-right: 20px;">
+    <div style="flex: 1;">
+        <p>
+            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 <a href="https://www.ubdc.ac.uk/" target="_blank">Urban Big Data Centre (UBDC)</a>, 
+            where he leads the 
+            "<a href="https://www.ubdc.ac.uk/research/research-projects?topic=Urban+Sustainability+%26+Participation" target="_blank">
+            Urban Sustainability and Participation</a>" 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 
+            <strong>participatory urban analytics</strong> combines participatory methods (e.g., citizen science, participatory GIS, 
+            action research, participatory software design) and geo-computational data science.
+        </p>
+    </div>
+</div>
+
+```
+
 
 ## Selected Candidates
 
@@ -145,14 +131,7 @@ to be part of this AGILE PhD School edition.
 
 ### Meeting room
 
-The school will take place at the University Jaume I, in the Building called: **"Investigació II"** --> Level 0 - **NB0003CC meeting room**. Use the following map to locate where this room is located inside the hosted university.
-
-```{=html}
-<iframe src="https://gis.uji.es/ujiapps/bessodigital/localitzacioespais/?query=1831cf62f4d-layer-3,codificacion,NB0003CC" style="width:100%; height:600px; border:none;" sandbox="allow-same-origin allow-scripts allow-popups"></iframe>
-
-```
-
-
+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.
 
 ### Day 1: Arrival to the Venue
 
@@ -208,22 +187,18 @@ Edificio de Investigación II, NB, Universitat Jaume I
 -   09:00 - 10:00 [Anita
     Graser](https://anitagraser.com/) ( [Austrian Institute of
     Technology](http://www.ait.ac.at/) in Vienna):
+    
+```{=html}
+    <div style="border: 1px solid #ccc; padding: 10px; border-radius: 8px; max-width: 800px; margin: auto; font-family: Arial, sans-serif;">
+    <h3>Mobility Data Science in the Age of AI</h3>
+    <p> "A computer can never be held accountable, therefore a computer must never make a management decision." (IBM 1979)
+    </p>
+    <p> 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.
+    </p>
+</div>
+
+```
 
-    +-----------------------------------------------------------------------+
-    | ### Mobility Data Science in the Age of AI.                           |
-    |                                                                       |
-    | 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.                                        |
-    +-----------------------------------------------------------------------+
 
 -   10:00 - 11:00 - Post-Keynote Discussion and Brainstorming:
     Participants should form groups to brainstorm potential research
@@ -248,28 +223,16 @@ outcomes.
     Professor in Urban Analytics (Urban Studies & Social Policy)
     University of
     Glasgow](https://www.gla.ac.uk/schools/socialpolitical/staff/joaoportodealbuquerque/)
+    
+```{=html}
 
-    +-----------------------------------------------------------------------+
-    | ### Participatory Urban Analytics for Inclusive Data                  |
-    | ### Innovations and Artificial Intelligence: Enabling                 |
-    | ### Transformative Public Policy                                      |
-    |                                                                       |
-    | 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).                                                   |
-    +-----------------------------------------------------------------------+
+<div style="border: 1px solid #ccc; padding: 10px; border-radius: 8px; max-width: 800px; margin: auto; font-family: Arial, sans-serif;">
+    <h3>Participatory Urban Analytics for Inclusive Data Innovations and Artificial Intelligence: Enabling Transformative Public Policy</h3>
+    
+    <p> 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).
+    </p>
+</div>
+````
 
 -   16:00 - 18:00 - Post-Keynote Discussion and Brainstorming:
     Continuation of the morning brainstorming and drafting the paper