Lecturer: Pina Kingman, MScBMC
ECTS: 1 (If you complete the course, you get a diploma stating your participation, the content of the course and the work effort the course has required. You can apply to your home institution for getting the course accepted as ECTS in your degree. They decide if you will get the ECTS for the participation.)
Maximum no. of participants: 20 in total
Registration: please apply before 15 December 2019 with this online form. (registration closed)
Do you want to use illustration as an effective communication tool? Learn the essentials of graphic design and visual communication theory, drawing by hand and drawing digitally during this 4-day course.
This course will introduce the theory and method of how to visually represent your scientific research. Being able to translate complex research into information that can be understood by a wide range of audiences is an important skill that will help you throughout your career.
Communicating your work using different methods helps you to think about your work from different perspectives. Not only will this help you understand your own work better, but it will also give you the tools to be able to explain your work to others.
The skills you will learn in this course are highly transferable to any design project you may do in the future.
Through lectures and workshops, we will cover the following:
- Principles of design and visual communication
- How to apply these principles to illustration and graphic design, which in turn will inform all visual material you might want to create, including; graphical abstracts, presentation slides, poster presentations, journal articles, graphs, data visualisation, project logos, animations and outreach material.
- Best practices for poster and slide presentation design
- Step by step method on how to draw your own research
- Introduction to sketching by hand
- Crash course in digital illustration with mandatory pre-course digital tutorials
By the end of the course, you will have practiced the theory and methods discussed in class by creating an illustration of your own research. Taking your ideas from conceptualisation to final digital artwork.
Completing the digital illustration tutorials before the course begins is mandatory. It is important that you come prepared because we are covering a lot of new skills in a short time and it will be beneficial for you if you already have a foundation to work from.
Course dates are 28-31 January, from 9:00 to 16:30 each day.
Day 1: 6.5 hrs lectures & workshops, 1 hr lunch
Day 2: 3 hrs lectures & workshops, 1 hr lunch, 3.5 hrs digital illustration
Day 3: 1 hr lecture, 5.5 hrs digital illustration, 1 hr lunch
Day 4: 1.5 hrs digital illustration, 1 hr lunch, 5 hrs student presentation & group feedback
Software used in the course:
- Adobe Illustrator, for those who have access https://www.adobe.com/ca/products/illustrator.html
- Gravit, free vector illustration software https://www.designer.io/en/
Note: If any students are already familiar with another digital illustration software, then feel free to use this program. But for the sake of time, I will only provide technical support for those using Gravit Designer or Adobe Illustrator.
Student’s will need to bring to the course: Laptop
Before the course starts, students will need to:
- Download Gravit Designer or Illustrator onto your laptop
- Do mandatory digital illustration tutorials (to be provided)
Students will need to present their illustration on the last day of the course and describe one design principle they used in order to solve a visual problem. It will be okay to show “work in progress.”
Pina Kingman in a biomedical illustrator and animator whose work focuses on telling scientific stories in order to disseminate complex research and promote public awareness of science and medicine. She holds a BSc in Cell Biology and Genetics from the University of British Columbia and a MSc in Biomedical Communication from the University of Toronto.
This course is offered as a joint effort of 4 Norwegian research schools: CHESS, DEEP, ForBio and IBA.
All CHESS PhD candidates and supervisor members are warmly invited to our Annual Meeting 2020, which will take place on Hurtigruten’s MS Trollfjord from 20 to 24 March 2020. Participants of the meeting shall be on board before 12:00 in Kirkenes. The ship will arrive at 06:30 on 24 March in Trondheim.
All PhD candidates are expected to present their research, either as a poster or an oral presentation, which is a great opportunity to get feedback from fellow PhD candidates and supervisors.
Each presentation session will be chaired by two PhD candidates, who will give a 5-minute introduction to the session topic at the beginning of their session. In addition, they are responsible to monitor the timing of the whole session. If you would like to be a session chair, please indicate this on the abstract submission form.
Duration of each talk will be 15 minutes plus 5 minutes for questions and discussion. A committee, consisting of both PhD candidates and supervisors, will give comments and feedback to each presenter.
Theme: How to become a more impactful scientist
Two main training foci:
Reseach leadership (how to impact your field)
Identify opportunities and lead the field forward – gaining perspective on your own research and awareness of its importance.
Research Outreach (how to impact society)
Conveying your research and its importance clearly, simply, and in a way that engages the public.
Travel and accommodation will be covered for all PhD candidates and supervisors. As we have limited cabins available, all PhDs will share a cabin with a fellow PhD candidate. Please indicate with whom you would like to share a cabin in the registration form. Depending on the number of registered participants, supervisors might also have to share a cabin.
Transport to Kirkenes:
There are daily flights from Bergen, Oslo or Tromsø to Kirkenes.
The airport shuttle bus from Kirkenes airport will take you to the city and the Hurtigruten terminal. The journey takes about half an hour. Public time table in March 2020 is not available yet but will be published as soon as they have information about the flight schedules to Kirkenes.
Transport from Trondheim:
There are daily flights and trains from Trondheim to Bergen, Oslo, or Tromsø.
More detailed information about local logistics will be posted when they are available.
Registration & abstract submission
As we have limited number of cabins, registration is on a first come, first served basis.
Please register using the online form : https://skjemaker.app.uib.no/view.php?id=7444148
Registration deadline: 18 December 2019. (registration closed)
CHESS students should submit abstracts and register at the same time.
For students and supervisors: please note that registration will become binding after 25th February, and cancellation after this date without legitimate reasons might incur a charge of NOK 7600.
For questions regarding the registration and the program, please contact us at firstname.lastname@example.org.
The 4-days course aims at PhD-level students and early-stage scientists intending to apply data assimilation as part of their research. The course should also be useful for students with beginner or little notions of data assimilation. The crash course will cover the basic concepts of data assimilation, focusing on ensemble methods, illustrated with real-scale / operational applications and with practical exercises. It will also include notions of Machine Learning of relevance for data assimilation.
The event is organised by NERSC and NORCE in the framework of the projects DIGIRES and REDDA from the Norwegian Research Council, and supported by the climate research school CHESS (travel costs of CHESS members will be covered by CHESS).
For more details and application, please see their webpage:
Deadline for application: 15 February
Responsible: Joe LaCasce / UiO
International lecturer: Jonathan Lilly / Theiss Research
Max. no. of participants: 12 CHESS students (total participants: 20)
Credit points: 2 ECTS
Registration form here. Deadline: 13 February
Submitted applicant list
Course description: This course introduces students to essential statistical and conceptual tools for analyzing any type of dataset from oceanography, atmospheric science, or climate.
In this course, the students will learn how to use our creativity together with simple statistical tools to delve into datasets, uncovering whatever information they may contain, and how to shape that information into stories. In particular, a powerful method called “distributional data analysis” allows us to deconstruct potentially large, multivariate datasets by examining their statistics in two-dimensional slices. Careful attention is given to the variance ellipse, the fundamental second-order statistical quantity for bivariate data such as velocity. Data organization and manipulation techniques, visualization strategies, and healthy coding habits are all also addressed. Finally, the course provides innovative training in the essential mental factors of curiosity, imagination, and objectivity.
Students apply techniques to datasets of their own choosing using the Matlab programming language, and learn further through homework problems and group exercises.
This will be the fourth time a version of this course is offered in Oslo, and the second time focusing on a greatly expanded version of the “low-tech” methods that form the foundation of the data analyst’s toolbox.
This course is strongly recommended for all students wishing to participate in a more advanced time series analysis course with the same instructor, to be offered over two weeks in Fall 2020 at the Alfred Wegener Institute in Bremerhaven, Germany.
Learning modules/structure: There will be two hours of lectures in the morning sessions and a two-to-three hour lab session in the afternoons. Lectures will be given in the mornings and lab sessions in the afternoons, allowing the students to apply the methods directly to data. The students will also complete a final project on data of their choice. The students employ the statistical and time series analysis toolbox jLab developed by the instructor (http://jmlilly.net/software). Course notes are available online at http://jmlilly.net/course (specifically chapters 1-8).
Learning outcomes: At the end of the course, students will be well-prepared to begin efficiently analyzing any dataset they might encounter, while avoiding common pitfalls. Students gain practical experience through hands-on demonstrations and exercises in Matlab.
Prerequisites: Students must have a fully functioning version of Matlab with jLab already installed at the start of the course. Students are expected to bring a dataset of any type that they would like to analyze for a course project. Multivariate datasets are encouraged. Model output is also acceptable.
This year’s Advanced Climate Dynamics Course for PhDs will be in August in a spectacular location in northern Sweden.
Topic: Dynamics of the Global Water Cycle
Venue: Abisko and Tarfala Research Stations, Abisko National Park, Sweden
Dates: 16.– 28. August, 2020
Application deadline: 1. March 2020.
Target: advanced graduate students (PhDs). Other applications will be considered on a case by case basis if there is space (admission is competitive).
Goal: To mix diverse students and lecturers with empirical and dynamical training within climate science and focus on understanding the basic principles and dynamics relating the global water cycle.
Price: Expenses on site are covered by the school, participants must cover travel to the venue (Abisko train station: www.sj.se).
Key topics to be included:
– Atmospheric moisture, clouds, and aerosols
– Extreme weather
– Ocean circulation and the freshwater budget
– Floods and flood variability
– Soil moisture and climate
– Water balance and agriculture
– Paleo evidence of the hydrological cycle
– Sea level and ice sheets
– Cryosphere, ice-ocean interaction, and ice-cores.
Check http://www.uib.no/rs/acdc for details and continuous updates on list of lecturers and program.
For contact: email@example.com