- Live presentations and demos by leading R and OSGeo developers,
- 5 days of Earth System Analysis training sessions and R / OSGeo tutorials
- Including 1 day of R-Spatial workshops,
- Including 1 focus day “extreme events”
- Discussion panels and break-out rooms.
Topics of interested are focused around but not limited to (unsorted):
- AI for Earth System Sciences
- Modelling Extreme Events (with ML/AI and statistics) (~1 day)
- Classifying remote sensing time series data,
- Design-based methods for assessing map accuracy,
- Point pattern analysis in R,
- Analysing spatiotemporal disease/health data,
- Reproducible research,
- Machine Learning and deep learning methods for spatial data,
- Analyzing massive amounts of EO data in the cloud with R, gdalcubes, and STAC,
- Running a Research Data infrastructure with OS Tools
- WebGIS,
- Geocomputation and spatial segmentation in R,
- Static and interactive visualization of spatial data
Research Speed Dating
Recipe: Pre-order the group by their broader interest into subgroups. Split each subgroup equally where one half will be stationary and the other half be moving “clockwise” through the room. Pairs of people sit down for a given amount of time (~7 mins) and present their research topic to each other.
3-min-madness
Recipe: Interested participants sign up for a 3-min-madness where they pitch their research in 3 min “on stage” in front of all participants. Elect a jury (among the lecturers) that will ask quick questions and will finally vote for the “best pitch”. This could also be flavored towards a “science slam”.
Reproducibility Hackathon
Participants can nominate their latest research for a reproducibility check. Share your paper and the associated resources with the group and let’s explore how far we can reproduce your study and whether everyone achieves the same result.
Livestream on YouTube:
The Summer School lectures will be live-streamed for free on OpenGeoHub YouTube channel. (please note that it will not be possible to interact with lecturers)
Welcome reception
8:30–11:00 | Plenary 📹 |
11:00–11:30 | Coffee break |
11:30–13:00 | Theoretical sessions 📹 |
13:00–14:00 | Lunch break |
14:00–15:30 | Theoretical sessions 📹 |
15:30–16:00 | Coffee break |
16:00–17:00 | Discussion panel / Hackathon opens |
17:00—19:00 | Dinner |
19:00–21:00 | R crash course |
8:30–11:00 | Tutorials / 2 ⨉ parallel 📹 |
11:00–11:30 | Coffee break |
11:30–13:00 | Tutorials / 2 ⨉ parallel 📹 |
13:00–14:00 | Lunch break |
14:00–15:30 | Tutorials / 2 ⨉ parallel 📹 |
15:30–16:00 | Coffee break |
16:00–17:00 | Discussion panel (Live) 📹 |
17:00—19:00 | Dinner |
19:00–21:00 | Python crash course |
8:30–11:00 | Tutorials / 2 ⨉ parallel 📹 |
11:00–11:30 | Coffee break |
11:30–13:00 | Tutorials / 2 ⨉ parallel 📹 |
13:00–14:00 | Lunch break |
14:00–15:30 | Tutorials / 2 ⨉ parallel 📹 |
15:30–16:00 | Coffee break |
16:00–17:00 | Discussion panel (Live) 📹 |
17:00—19:00 |
|
19:00–21:00 | Social event (Gala dinner) |
8:30–11:00 | Tutorials / 2 ⨉ parallel 📹 |
11:00–11:30 | Coffee break |
11:30–13:00 | Tutorials / 2 ⨉ parallel 📹 |
13:00–14:00 | Lunch break |
14:00–15:30 | Tutorials / 2 ⨉ parallel 📹 |
15:30–16:00 | Coffee break |
16:00–17:00 | Discussion panel (Live) 📹 |
17:00—19:00 | |
19:00–21:00 | Hackathon Q&A |
8:30–11:00 | Tutorials / 2 ⨉ parallel 📹 |
11:00–11:30 | Coffee break |
11:30–13:00 | Tutorials / 2 ⨉ parallel 📹 |
13:00–14:00 | Lunch break |
14:00–15:30 | Tutorials / 2 ⨉ parallel 📹 |
15:30–16:00 | Coffee break |
16:00–17:00 | Hackathon results / LAW |
17:00—19:00 | |
19:00–21:00 | Social event (Pub) |
Field excursion
- Find out what are the trends in spatial analysis and modeling from the leading open source developers.
- Follow online demo’s / tutorials, ask questions, share your experiences and help us resolve important issues.
- Connect to similar participants and network. Find co-authors and co-creators that match your style of work and ambitions.
- Contribute to the Open Source community and global good.
- Open source development communities on github and gitlab,
- R-sig-geo mailing list,
- R-Spatial.org package users,
- OSGeo community,
- PhD and MSc level students in the field of environmental sciences, GIS, civil engineering, spatial modelling, GeoAI, Earth Sciences and similar,
We have made a reservation at the Friendly City Hotel Siegburg close to Bonn for the period 28.08.2022 – 03.09.2022. They offer large and well equipped conference rooms and the venue would also allow for us to host parallel sessions as in previous years.
The offer includes:
- Air-conditioned conference room (max capacity 80 people) with balcony & including standard equipment (beamer, screen, 3 flipcharts, 3 moderator boards, paper & pencils);
- Free internet access throughout Hotel (600Mbit);
- Coffee & tea all day long from the specialty (in front of the conference room); soft drinks will be charged to according consumption;
- Candy bar with sweet and sour delicacies (in front of the conference room);
- Active break in the morning: coffee from the machine specialty & various tea, fruit juices & sandwiches;
- Vital lunch at noon the finger food in front of the room or buffet in the restaurant included octopus water on the table;
- Active break in the afternoon: coffee from the specialty machine & various tea, fresh-cut fruit and pastries;
Accommodation costs (fixed price):
- 105 EUR bed & breakfast (single);
- 140 EUR bed & breakfast (double occupancy);
The pricing is at the upper boundary of what appears reasonable. Rooms and facilities appear to be modern and of good quality. The hotel is rated 3-star and has a 8.1 on booking.com.
** Under construction **
Materials in terms of R-markdown tutorials, screen-recordings and similar will be provided to all participants before the start of the Summer School.
- April 29th: Registrations open.
- May 28th: Registrations close;
- July 1st: Invitation letters sent;
- July 15th: Instructions sent to participants / Zoom calls;
- July 20th: Official programme published;
- Aug 27: The Summer School / webinars starts!
- Zoom breakout rooms with Q&A’s, polls and similar; Telegram (public) and Mattermost channels for internal questions, screen sharing and markdown / code snippets; Computational notebooks on github.com and gitlab.com;
- Telegram (public) and Mattermost channels for internal questions, screen sharing and markdown / code snippets;
- Computational notebooks on github.com and gitlab.com;
For consistency we recommend that all participants use a prepared virtual machine (docker containers), best via:
This would make sure that everyone follows exactly the same settings / same package versions etc.
Use of virtual containers / virtual OS comes at the cost of RAM, so we need to provide to all participants instructions on how to prepare and emphasize that their laptops should have a minimum configuration of 16GB RAM and similar.
All lectures will be video-recorded using Zoom webinar functionality in HD quality. Subject to approval of the presenters, the videos will be uploaded to https://av.tib.eu/publisher/OpenGeoHub_Foundation and a DOI will be assigned to each talk. Lecturers will be asked to accept the general recording conditions and sign a document allowing for videos to be shared. Copyright of the video’s will be assigned to authors / presenters as in standard Open Access materials.
Please read the Summer School Code of Conduct carefully before participating.
