Agile 2018 Workshops
Below is a description of all the workshops. Some of the workshops have their own web sites where you can find more information. Otherwise, you can contact the contact the person responsible for the workshop (their name is linked to their email address).
Registration for the workshops is done through the registration page for the AGILE 2018 conference (also if only the workshops are attended and not the main conference). The fee includes a lunch. Registration will open in late January 2018.
You can register for 1 full day workshop or 1-2 half day workshops (morning + afternoon). The fee is the same for all options.
The workshops are either half day (morning, roughly 9.30-12.30 or afternoon roughly 13.30-17.00) or full day (roughly 9.30-17.00). Time for a lunch break is fixed to 12.30-13.30, but the morning start time and afternoon end time might vary slightly. Please check the workshop website or contact the organizers for further details.
General questions about the workshops should be sent to:
Half Day workshops (morning)
Title: Research Data Management and Reference Datasets for the Environmental Sciences
To make scientific work more transparent and in the optimal case even reproducible, the improvement of research documentation is a clear goal in most of the scientific domains and in particular in the data driven environmental sciences. Several national, European and international initiatives and activities evolved to tackle issues in research data management, several of them started quite recently (e.g. GO-FAIR, European Open Science Cloud, Research Data Alliance). Nowadays, research-funding agencies very often demand project proposals to define a data management plan that includes strategies for data description and publication. To support this, a number of research data infrastructures have been implemented at national and international level (for example: www.pangaea.de). However, most of them focus only on the publication of scientific data that is seen an additional or supplemental output to the published publications. A real data management that also supports the daily work of the researchers is usually not offered. Further, to improve comparability among the different research results the availability of reference datasets that serve as harmonized data input or as a mean of reference or comparison do hardly exist. As a next step towards research transparency these things are clearly demanded.
This workshop provides an opportunity for interested researchers to share experiences and discuss requirements on reference datasets and tools and platforms for research data management.
Ivo Senner - Fraunhofer IGD, Germany
Simon Jirka - 52°North, Germany
Title: Copernicus Academy Network for European GI Laboratories
The workshop will introduce the new European initiative called Copernicus Academy Network to the academic community and other participants of the AGILE’2018 Conference. They will receive an updated information about the Network activity and good practices introduced recently. AGILE is a founding member of the Copernicus Academy Network, established in 2017.
Copernicus is a European Union Programme aimed at developing European information services based on satellite Earth Observation and in situ (non-space) data. The Programme is coordinated and managed by the European Commission. The goal of the Copernicus Academy Network is to develop lectures, training sessions, traineeships as well as educational and training material to empower the next generation of researchers, scientists, and entrepreneurs with suitable skill sets to use Copernicus data and information services to their full potential.
The Copernicus Academy Members will support the Commission in bridging the gap between skills and data use and enable the uptake of Copernicus data in new sectors. The role of the Network’s members is to foster the development of interdisciplinary masters and educational classes, skills boosting programmes for vocational training, industry-university traineeships and the creation of spin-offs.
The workshop will be focused on the AGILE and European laboratories roles in the dissemination of knowledge on the Copernicus Programme, its services and geospatial data. Moreover, the participants will discuss how the AGILE community can contribute to the development of new educational tools and participate in the exchange of knowledge on the Copernicus Programme and its developed resources.
Jandirk Bulens - Wageningen University Research, The Netherlands
Milva Carbonaro - EO4GEO Project
Half Day workshops (afternoon)
Title: Reproducible Research Publications At AGILE (RR@AGILE)
Reproducibility and replicability of research gains more attention each year across many domains, but at AGILE conferences the topic is underrepresented. This half-day workshop introduces interested scientists to reproducible research and gives hands-on guidance on how to increase reproducibility of their work.
- Introduction to reproducible research
- Reproducibility at AGILE today
- Hands-on: Reproducing a publication
- Reproduce a prepared computational analysis from a real paper (eiher R or Python code)
- Transform typical publication into a reproducible document (literate programming with R Markdown, Jupyter Notebook, scripted GIS)
- Publish the analysis in a research data repository
- Reproducibility at AGILE tomorrow & Feedback
Registration is open until April 22 2018 via the conference web site. Participants must submit additional information as described on the workshop website: http://o2r.info/reproducible-agile
Frank Ostermann, Valentina Cerutti – ITC, University of Twente, The Netherlands
Barbara Hofer - University of Salzburg, Austria
Rusne Sileryte - TU Delft, The Netherlands
Carlos Granell - University of Jaume I, Spain
Title: Modelling Urban Dynamics
It is expected that in 2030 about 5 billion people will live in cities as compared to the 3.6 billion now. This massive growth challenges the liveability of the urban environment. To design cities that offer a pleasant home to its citizens, are attractive to visitors, industry and commercial organisations, and are as well sustainable, it is crucial to understand urban dynamics, and the effects of human behaviour on the city and vice-versa.
Various ideas on how cities work as well as methods to simulate and analyse spatial-temporal and social processes have been developed past decades. The work of, amongst others, Lynch, Hillier, Hägerstrand, and Batty offer basic concepts and methods to represent, simulate, and understand urban systems. Currently cities are increasingly recognised as Complex Adaptive Systems (CAS). Myriad entities, processes, and feedbacks lead to non-linear and often unexpected outcomes complicating the development of urban policies and design. Agent Based Modelling (ABM), Cellular Automata (CA), and participatory modelling offer the tools and bottom-up techniques that can deal with this complexity.
This workshop aims to discuss novel concepts and methods to simulate spatial-temporal dynamics of cities from the bottom-up. Contributions on both fundamental issues as well as applications are welcome. Focus is on models of interactions between humans and the city Examples include, but are not limited to, human movement behaviour, tourism, urban development and expansion, participatory modelling for city development, gentrification and segregation, housing, and urban health.
A selection of the work presented will be published in a special issue of a peer reviewed scientific journal (to be decided).
Please find more information at: http://www.uni-muenster.de/Geoinformatics/en/geosim/events/urbandynamics.html
Judith Verstegen, Gabriele Filomena - University of Münster, Germany
Title: 2nd AGILE Workshop Open Data for Open Cities - OD4OC
The reuse of open data through spatial analysis
Cities are the hubs of innovation driving the economic development of the world. According to the United Nations, one in every three people will live in cities by the year 2030. There is an urgent need to not only make cities more citizen friendly but also sustainable.
The explosive growth of cities and the rapid expansion of broadband and data are intersecting at a time when the world faces serious challenges to achieving more sustainable development. Sensors and digital devices generate huge amount of data from which cities and governments can create indicators and learn new knowledge. There are several data processing and analysis techniques to learn from that data and make our cities inclusive, safe, resilient and sustainable.
During this second edition of the open data for open cities workshop, we will discuss about what open data means while focusing on how cities can improve the reuse of published data through analysis use cases. Using a case of study, we will make use of open data to develop a research question based on a current city challenge, describe the variables and their spatial relationships, calculate basic statistics, and present results clearly all using open tools. By the end of the interactive hands-on session, participants will be able to make use of R to manage and visualize their data, including how to deal with missing data, variable groups, and graphs. This workshop is a part of the GEO-C ( Enabling Open Cities) project which is a joint European project between three universities; NOVA Information Management School in Portugal, Universitat Jaume I in Spain and the Institute for Geoinformatics in Munster, Germany.
More information is found at: http://opendata4opencities.uji.es/
Joaquin Huerta, Fernando Benitez - Universitat Jaume I, Spain
Title: Map Generalisation Practice with Volunteered Geographic Information
Map generalisation research mostly focused on the needs of national mapping agencies (NMAs): making maps at small scales from high resolution geographic databases. Given the popularity of independent Volunteered Geographic Information (VGI) platforms such as OpenStreetMap, as well as the use of crowdsourced data within NMAs, a focus on the generalisation of VGI is needed. Unlike NMA datasets, VGI can be very diverse and heterogeneous, and thus poses real, novel challenges for data management and processing.
This will be a hackathon-like workshop: two datasets from OSM and FlickR will be provided, and participants will be asked to submit how they successfully (or unsuccessfully) generalise part of (or the whole) dataset. More details on the workshop here: http://generalisation.icaci.org/nextevents.html
Pia Bereuter - FHNW University of Applied Sciences of Northwestern Switzerland, Switzerland
Paulo Raposo - University of Tennessee Knoxville, USA
Cyril de Runz - Université de Reims, France
Title: Data-Driven Initiatives for Effective Community Collaboration and Data Sharing Network
Our communities are laboratories for testing and evaluating effective policies and operations. Too often, data standards that measure our work are disconnected from the government and community groups that are driving new policies. We have developed a new framework that is driven by community goals and powered by interoperable data standards that work together to build effective, sustainable community engagement and efficient government.
In this workshop, led by Andrew Turner, you will learn how to use open geospatial information, organized around policy goals to design data-driven initiatives. This new Hub pattern can be adopted and evolved to share best practices for interoperable data standards that work with shared analysis services and exploratory applications. Attendees will be hands-on, using the framework to design new data initiatives and learn about options for building and integrating open data portals into a wide range of community and government projects.
Marco Painho - Univ Nova de Lisboa
Andrew Turner - Esri
Diego Pajarito, Fernando Benitez, and Joaquín Huerta - UJI.
Title: Making Salience Personal (PerSal ’18)
Determining the salience of environmental objects for specific travellers remains a challenge in wayfinding research. This interactive workshop, which includes an experiment during the afternoon, is dedicated to the question, which personal dimensions (e.g. familiarity with an environment or level of interest in a particular topic of an observer) influence the salience of an object. There is also a need to discuss empirical methods for the acquisition of these dimensions and how these can be integrated into existing salience models.
Relevant topics include but are not restricted to:
- Evidence for the need of personal salience
- The role of familiarity and personal interests in estimating personal salience
- Methods to acquire the familiarity and the level of interest in a topic
- Empirical attempts to measure salience
Participants are expected to submit a paper (max. 4 pages) according to the guidelines lined out on the conference website, which will be reviewed by an international panel of experts. Special attention will be paid to those papers stimulating discussion on the topics above. Based on this discussion, all attendees of the workshop will collect data about landmarks in Lund through an in-situ experiment during the afternoon. A final discussion after collecting landmarks will be used to share experience and further thoughts.
For more information about the workshop please visit: https://personalized-salience-agile2018.tumblr.com/cfp
Sabine Timpf, Eva Nuhn – Augsburg University
Title: SDI Research and Strategies towards 2030: Renewing the SDI Research Agenda
The central aim of this workshop is to initiate the definition of a renewed Spatial Data Infrastructure Research Agenda for ‘SDI Research and Strategies towards 2030’, incorporating both technical and non-technical perspectives and research challenges.
SDI research has always been an important driver and enabler for the development and implementation of Spatial Data Infrastructures. Researchers across the world have been exploring various issues around the development and implementation of SDIs. The ‘SDI Research and Strategies for 2030’ workshop offers SDI researchers an opportunity to share their research and formulate the SDI research agenda. The workshop will build further on the work done in past initiatives to promote knowledge sharing and collaboration among SDI researchers.
The ‘SDI Research and Strategies for 2030’ workshop has three objectives:
1. To provide an overview of recent and ongoing research on SDI and related topics
2. To identify gaps and challenges in existing SDI research and define a research agenda for future SDI research
3. To (re-)establish a research community for SDI research that promotes and enables active collaboration and engagement across multiple disciplines and regions
For more information about the workshop please visit: http://kcopendata.eu/sdi2030/
Joep Crompvoets - KU Leuven, Belgium
Lars Bodum - Aalborg University, Denmark
Ali Mansourian - Lund University, Sweden
Title: A Workshop on Big Data Analytics: Topological and Scaling Perspective for Better Understanding and Making Sustainable Cities
There are three fundamental issues about geographic space or the Earth’s surface: How it looks, how it works, and what it ought to be. In terms of how it looks and works, there are two laws governing geographic forms and processes or urban structure and dynamics in particular: scaling law and Tobler’s law. Scaling law is available across all scales ranging from the smallest to largest, and it states that there are far more small things than large ones in geographic space. For example, there are far more small mountains than big ones; far more low elevations than high ones; far more short rivers than long ones; far more small cities than big ones; far more less-connected streets than well-connected ones; and far more meaningless locations than meaningful ones. Tobler’s law is available at one scale, and it states that more or less similar things tend to be nearby or related. For example, your housing price is more similar to those of your neighbors than to those of your neighbors’ neighbors; two elevations one meter away are more similar than two that are 10 meters away; and today’s weather is more similar to that of yesterday than to that of the day before yesterday. These two laws, complementary each other and recurring at different levels of scale, well characterize the Earth’s surface. Geographic forms or urban structure change nonlinearly, so geographic processes or urban dynamics are essentially unpredictable. In terms of what it ought to be, there are two design principles that help make better built environment: differentiation and adaptation, in line respectively with the scaling law and Tobler’s law. In this workshop, I will use two concepts of natural cities and natural streets to demonstrate the ubiquity of scaling law, and further argue how to make built environment more living or more sustainable based on the two design principles. Some hands-on will be carried out with two tools: Axwoman and head/tail breaks.
For more information about the workshop please visit:
Title: VGI-ALIVE - AnaLysis, Integration, Vision, Engagement
Since over a decade ago or so crowd-sourced data, such as Volunteered Geographic Information (VGI) and social media, have gained increasing interest in the GI research arena and found their way to numerous everyday applications, such as tourist recommendation systems, event detection methods, route planning, and location based services. New data sharing and social media platforms are on the rise, novel contribution patterns across different platforms (e.g. Yelp and Pokémon Go) can be observed, and more contributors than ever share their data on these platforms. This advancement on the application side leads to new, advanced analysis methods of user contribution patterns, ongoing challenges in data fusion, and provides also new opportunities for rapid data analysis for event detection and VGI data quality assessment. With the steady increase of shared data platforms and data sharing activities over the past decade, new questions arise concerning the future of VGI and social media platforms. These questions include the prospect of continued user growth, engagement of new user groups, further expansion of VGI to educational activities, or closing data gaps in geographically underrepresented areas.
This workshop covers a wide range of VGI and social/media research topics and provides an opportunity for workshop participants to share ideas and findings on cross-platform data contributions, innovative analysis approaches, current data fusion methods, real-world applications, and the use of VGI and social media use in education. The event offers also a platform to discuss future challenges of VGI and social media, may it be on the legal or technical side, to formulate a vision for VGI and social media usage and analysis for the near future, and to live demonstrate analysis workflows and VGI applications. One portion of the workshop is dedicated to a collaborative session, where break-out groups will discuss various timely VGI/social media research topics, such as VGI and mobility, data fusion, interoperability, and education, potentially leading to a joint paper contribution for a special issue of the Geo-spatial Information Science journal.
More information about the workshop:
Franz-Benjamin Mocnik, Alexander Zipf - University of Heidelberg, Germany
Jamal Jokar Arsanjani - Aalborg University Copenhagen, Denmark
Hartwig H. Hochmair - University of Florida, United States
Kiran Zahra - University of Zurich, Switzerland
Title: An innovative case-based learning approach for academic GI teaching: the example of giCASES
giCASES is a Knowledge Alliance project under the EU Erasmus+ programme. It aims at enabling and strengthening innovation in GI education and industry and to facilitate the collaborative creation, management and sharing of knowledge. This is addressed by developing new, innovative and multidisciplinary approaches to teaching and learning within the GI sector, and by facilitating the exchange and co-creation of knowledge.
The approach and the six case studies designed to test it will be introduced to the audience in the form presentations, discussions and a training session. The six use cases relate to:
- Use of indoor GIS in healthcare
- Environmental analysis using cloud service system
- Location Enablement of e-Government
- Integrated management of the underground
- Harmonizing data flows in Energy saving EU policies
- GIS Applications in Forestry
The main target audience is composed by teachers and tutors willing to test and adopt the giCASES approach in their courses, students willing to gain hand-on experience on real case-based solutions. The workshop will present and discuss the case-based learning method, provide examples from the 6 case studies, and explain how the case-based and collaborative learning method has been applied – several collaborative teaching/learning patterns have been identified (together this will take half a day); and will conduct a case-based training session (also half a day) in which a private company exposes a ‘problem’ / ‘case’ and students, the participants in the workshop, will work on the case together with the academic and private sector tutors. Throughout the session the shared and collaborative teaching/learning patterns will be applied. Other use cases include shared/collaborative preparation of training materials, and internships, but these will not form part of the training session.
Stefan Prueller - Salzburg University, Austria
Marco Painho - NOVA-IMS
Milva Carbonaro, Giorgio SaioGISIG – Geographical Information Systems International Group
Marco Minghini, Maria Antonia Brovelli - Politecnico di Milano, Italy
Giacomo Martirano- Epsilon Italia Srl
Dirk Frigne – Geosparc
Title: Teaching Geospatial Technologies to All
Given the presumption of a science (GIScience) behind the systems (GIS), and behind geospatial technologies in general, this workshop will challenge participants to consider what conceptual basis could guide users from any discipline in their choices and uses of specific spatial computations - and consequently should be taught in introductory courses to GIS and geospatial technologies.
Participants will envision how to use an explicit conceptual basis to transform how and to whom geospatial technologies are taught in higher education. We seek to answer the questions: What would it take to make learning geospatial technologies and GIS as commonplace in higher education as learning statistics (and statistics software) is today? In other words, what are possible “core concepts” behind geospatial technologies that could or should be imparted to any willing learner, regardless of discipline? And, more daringly, what concepts would help learners understand how to use GIS or other geospatial technologies to answer spatial questions?
GIS are commonly presented as sets of tools for analyzing, “capturing, storing, checking, and displaying data related to positions on Earth's surface”2. However, these descriptions do not explain what types of questions can be answered with a GIS, nor how users should translate these questions into software commands. A teaching emphasis on data models (such as raster or vector models) narrows that gap, but remains too concerned with representations and procedures, and not enough with conceptualizations nor with questions themselves.
Determining how to teach geospatial technologies to all requires agreeing on a conceptual foundation that is meaningful and engaging for learners across disciplines. Unlike attempts to define a canonical form of geographic information or to reorganize GIS commands bottom-up, core concepts of spatial information can relate user questions directly to information system contents.
Workshop participants will: 1) Present and discuss challenges and approaches for teaching geospatial technologies across disciplines, in response to a pre-workshop manifesto from the organizers; 2) determine specific gaps between spatial questions and system commands; 3) discuss core concepts of spatial information and their didactic potential; 4) formulate research questions to tackle the conceptual gaps in interdisciplinary education; and 5) choose means of disseminating the ideas generated at the workshop to a broader audience.
Karen Kemp - University of Southern California, US
Title: Introduction to OSGeo and Python programming using PyQGIS
The aim of this workshop is to get an overview of Open Source (OS) GIS programmes and OSGeo, as well as practical experience of developing programs in an OS environment. Getting started with programming and automated geoprocessing could be a challenge due to a steep learning curve. This workshop will help you to overpass these challenges by introducing python programming on examples on how to perform automated processing within a GIS focusing on the use of open source products. The workshop will mainly include hands-on activities on how to set up a good IDE using OSGeo and other open source products as well as making scripts making possible to automating part of your GIS activities.
Barend Köbben - ITC–University of Twente, the Netherlands