LESSON 2019: Legal Ethical factorS crowdSourced geOgraphic iNformation University of Zurich Zurich, Switzerland, October 8-9, 2019 |
Conference website | http://www.cs.nuim.ie/~pmooney/lesson2019/ |
Submission link | https://easychair.org/conferences/?conf=lesson2019 |
Abstract registration deadline | August 16, 2019 |
Submission deadline | August 16, 2019 |
Workshop registration deadline | September 27, 2019 |
The legal and ethical dimensions of crowdsourcing in general are debated among scholars and researchers. At present only limited work exists in the specific context of CGI (Crowdsourced Geographic Information). Some GI scientists and legal scholars have specifically discussed the legal issues in using crowdsourcing for geospatial information ( 1, 2, 3, 4). One of the major attractions of CGI is that from the desks and the laboratories of researchers there are now large, complex and rich datasets available for analysis from a variety of platforms. Personal information, collected as CGI, now creates data linkages between individuals, devices, and organizations. When the spatial and geographical aspects of these datasets and information streams are explored new knowledge can be extracted. With the ubiquitous adoption of smartphones and social media, the awareness of the value of personal "big data" has increased, as well as large-scale web data collection by many companies. The regulatory landscape have also evolved, notably with the EU's General Data Protection Regulation (GDPR), implemented from May 2018. However, researchers and scientists involved in CGI often operate in gray areas without clear guidelines. This applies particularly to secondary data usage (such as data produced for another purpose). Other disciplines have a clear ethical/legal framework (health/biomedical research) ( 5,6,7). GIScience/data science has not produced recognised guidelines. This workshop will bring together researchers, academics, industry specialists, legal and ethics scholars to discuss and understand the most prevalent legal and ethical issues in Crowdsourced Geographic Information.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following categories are welcome:
- Short papers We invite short papers (4-6 pages long max) which outline current work in this domain.
- Abstracts We also welcome short abstracts (250 - 500 words max) which outline work in progress, preliminary results, or broader topics for discussion.
Templates are provided in Open Document format. These documents should open in almost any modern Word Processing software application.
- Regular Paper Template (Open Document Text format) LESSON 2019 Regular Paper Template
- View PDF version of Regular Paper Template: LESSON 2019 Regular Paper Template PDF format
- Abstract Template (Open Document Text format) LESSON 2019 Abstract Template
- View PDF version of Abstract Template: LESSON 2019 Abstract Template PDF format
List of Topics
- What are the legal and ethical issues likely to be encountered by GI scientists in using primary and secondary datasets from sources such as social media or crowdsourcing?
- What are the impacts of current regulations (such as GDPR) on CGI research?
- How are the topics of reproducibility and repeatability affected or challenged by legal and ethical issues?
- Considerations for dealing with personal privacy in CGI.
- Legal aspects of web scraping and other forms of data acquisition in CGI
- Awareness raising of the legal and ethical aspects of CGI amongst the research community.
- Case-study examples: In what ways can the CGI community learn from other communities. What is “special” about geoinformation that requires to adjustment (or alignment) of guidelines, laws, and practices from other domains or disciplines?
- Key steps CGI practitioners must implement or consider in future work and usage of CGI. Are recognised guidelines for GIScience/data science required?
- Cross-disciplinary studies or commentary on the spatial and geographical aspects of CGI.
Committees
Program Committee
- Dr. Andrea Ballatore (Birkbeck, University of London)
- Dr. Frank O. Ostermann (University of Twente)
- Ms. Emma Bee (British Geological Survey)
- Dr. Marco Minghini (European Commission, Joint Research Centre)
Organizing committee
- Dr. Peter Mooney (Maynooth University, Ireland)
- Ms. Kiran Zahra (University of Zurich, Switzerland)
- Dr. Frank O. Ostermann (Faculty of Geo-Information Science and Earth Observation ITC, University of Twente)
- Dr. Ross Purves (Department of Geography, University of Zurich)
- Dr. Dirk Burghardt (TU-Dresden)
Invited Speakers
- To be announced.
Publication
LESSON 2019 proceedings will be published in CEUR-WS.
Venue
All LESSON 2019 activities will be held at the Department of Geography at University of Zurich - Irchel, Winterthurerstrasse 190, 8057 Zürich, Switzerland.
Contact
If there are questions or queries which are not answered on this website or other general queries, questions or comments about the workshop should be directed to Peter Mooney (peter.mooney@mu.ie) and Kiran Zahra (kiran.zahra@geo.uzh.ch)
Sponsors
Support for the organisation of LESSON 2019 is very kindly acknowledged from the following:
- VGI Science
- University of Zurich
- Maynooth University