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Expand Up @@ -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>
Expand Down Expand Up @@ -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
Expand Down Expand Up @@ -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:
Expand All @@ -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>
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