Calendar

Apr
8
Thu
Communication skills in outreach and teaching
Apr 8 – Sep 17 all-day

When: Online seminar series on Thursdays (9:00-11:00) from 8 April to 1 July 2021; Physical workshop in Bergen September 13-17, 2021
Organizers: Mirjam Glessmer and Kjersti Daae at UiB and iEarth
Credit points: 2(3) ECTS
Registration form here (registration closed)


Course description

To become a successful scientist you must master a variety of skills. The science itself is one of these skills, but you will also need to communicate your science with peers and a wider audience. This course covers aspects of pedagogics and didactics related to teaching and learning of climate sciences and generic skills in communication, outreach, and public debates. The objectives are:
1. To build a network of young climate researchers from both CHESS and iEarth that have a common understanding of the role of climate science in society, their agency as scientists, and best practice methods of communication.
2. To get training in using cutting-edge, science-based methods and tools to communicate climate science to (i) the general public, using, for example, Social Media and science poetry, and (ii) students of climate sciences and related topics at high school and university level
3. To practice communication skills and present examples of best-practice implementations of science communication or science teaching activities to your peers and the general public.

Learning outcome: Participants will be able to:
• choose viable, research-based formats (e.g., Social Media, science poetry) and methods and develop activities in which they present their Ph.D. topic to a lay audience
• draw on a network of informed peers for feedback and ideas related to science communication and education activities
• evaluate the effectiveness of science communication and education activities
• reflect on, and continuously improve existing activities

Course organization: 11 weekly 90 minutes digital seminars with short inputs on science communication and education topics, leading up to a one-week workshop for interaction and feedback.

Program

Digital lecture series:

The online lecture series will take place on Thursdays 09:00-11:00 from 08.04.2021

8. April Introductions Mirjam, Kjersti ++
15. April Learning as acquisition vs. learning as participation. Exploring two different ways of thinking about learning. Ivar Nordmo
22. April Justice, equity, diversity, inclusion in science Virginia Schutte (adjust for time zones)
29. April Culture and change Torgny Roxå
6. May Science communications Virginia Schutte (adjust for time zones)
Move to another day due to ascension day? Tuesday? Tips for good outreach J. Bakke
20. May Geoscience learning Kikki Kleiven
27. May Science poetry Sam Illingsworth (adjust for time zones)
3. June (collision with iearth in Rosendahl)
10. June Students as partners Catherine Bovill
Matthias Lundmark
17. June Networking and mentoring Mirjam Glessmer
24. June Supervision Anders Ahlberg
1. July Field teaching Rie Malm ++ (unconfirmed)

 

Program for the Bergen week 13-17. September

Aug
30
Mon
Integral projection models (IPM): From population ecology to climate change studies @ UiB, Bergen + digital
Aug 30 – Sep 3 all-day

Organizer: Ragnhild Gya (BIO & Bjerknes Center for climate research UiB)
Course responsible: Joachim Paul Töpper (Norwegian Institute for Nature Research & BIO UiB)
Course lecturers: Olav Skarpaas (NHM UiO), Eelke Jongejans (Radboud University, Netherlands) & EMERALD representatives: Eva Lieungh (NHM UiO) & Sonya Geange (BIO UiB)
Pedagogical responsible: Roy Anderson (bioCEED UIB & Lund University, Sweden)
Credit points: 2 ECTS (1 week intensive training with pre and post work)
Registration form (deadline: 19 July)

*CHESS will cover the travel and accommodation costs for CHESS members to participate in this course. The information about making travel claim after the activity can be found on our webpage Travel reimbursement for participating in CHESS activities. *


Course description

Studying population dynamics allows us to investigate the underlying demographics of abundance change in species. Thus, population ecology is frequently used to take a closer look at changes observed in target species along climate gradients and in climate-change field experiments to get a better understanding of how climate governs populations sizes and species occurrences.
Integral projection models (IPM) are a powerful tool used to study population dynamics based on demographic data with continuous state variables. The method is based on the principles of matrix projection modelling, but with more flexibility, and quantifies how underlying vital rates (i.e. survival, growth, fecundity, clonality) shape the overall fate of the population.
To fully understand the effects of climate change on populations and communities, we need a better mechanistic understanding. IPMs are a good tool for this, and can be combined with for instance functional trait theory, species distribution models, to better answer questions related to climate change.
Finally, we try to bridge the gap between ecologists and climate modellers by facilitating conversations between the two schools of thought. In the course we will talk about how climate models work, and the potential future ways ecological data could help further develop climate predictions. After the course we organize a seminar for climate modellers where participants of the course present their work and ideas about how ecological data could be integrated into climate models or climate predictions.
We welcome people of all stages of their career, whether they are interested in population ecology, climate science, or both. Through this course we will train novices to IPMs a new methodology, while the more advanced population ecologists can refresh their knowledge and build on their studies. At the same time, climate modellers get an inside view to population ecological data and models. The coure will thus serve as a networking opportunity for people interested in population ecology, climate change research, and novel approaches of combining ecological and climate data for better climate predictions.

Objective

The objective of this course is to teach the participants how to build, analyse, and interpret integral projection models (IPMs), preferably using their own datasets of plants or animals over years. We are aiming at a module-based course structure that allows both beginners and more experienced users of IPMs or matrix models to benefit from the course. With this course we hope to strengthen the population ecology network in Norway, and facilitate conversations between ecologists and climate modellers.

Structure

Most days will follow the standard set-up of lectures with exercises. At the end of the course the participants will present their own projects and how far they got during the course. Ideally, participants follow our IPM course in Bergen, to have lively interaction during the lectures, exercises and participant projects. For those people who cannot travel to Bergen, we will have an option to follow the lectures live. We expect that people who follow lectures online ask questions and interact with other course participants.

Monday (30.08):
09:00 Welcome and info
09:30 Intro: what are IPMs & how can we use them in ecological climate research
Exercise: Creating an IPM “by hand” part 1
12:00 Lunch
13:00 Continuing: What are IPMs & how can we use them in ecological climate research
Exercise: Creating an IPM “by hand” part 2
16:00-18:00 Presentation of participants’ projects 1-2 slides each
Tuesday (31.08):
09:00 Fecundity
Exercise/own data
12:00 Lunch
13:00 Fecundity II
Exercise/own data
16:00-18:00 Work with own project
Wednesday (01.09):
09:00 Seedbanks & Clonality
Exercise/own data
12:00 Lunch
13:00 Analysis of IPMs
Exercise/own data
16:00-18:00 Work with own project
Thursday (02.09):
09:00 What can climate models and modellers learn from population ecology?
10:00 Parallel sessions to address varying interests/challenges*
12:00 Lunch
13:00 Open slot
14:00 Parallel sessions to address varying interests/challenges*
16:00-18:00 Work with own project
*Suggestions for parallel sessions: IPMS in a climate perspective, Uncertainty in IPMs: bootstrapping, and Bayesian IPMs, Dormancy, Group structured data – IPMs and mixed effects models, Evolutionary demography, Introduction to FATES (The Functionally Assembled Terrestrial Ecosystem Simulator), How can concepts from population ecology improve FATES?
Friday (03.09):
09:00 Participants’ presentations of their projects
12:00 Lunch
13:00-15:00 Wrap-up and planning of the seminar from population ecologists for climate modellers

Intended learning outcomes

By the end of the course the students should be able to
– Build integral projection models based on your own data
– Analyse and interpret results from integral projection models
– Explain how population ecology can be important in answering questions related to climate change research
– Understand how concepts from population ecology can be used in the next generation climate models

Sep
6
Mon
Summer school: Surface change in a warmer and wetter Arctic @ northern Iceland
Sep 6 – Sep 11 all-day

RESPONSIBLES: Willem van der Bilt & Jostein Bakke (UiB)
GUEST LECTURERS: Anders Schomacker (UiT) & Danni Pearce (NMBU)
PARTICIPANTS: max. 15 students
CREDITS: 2 ECTS
APPLICATION DEADLINE: June 30th 2021


Dear all,

As last year, we are hosting a 2 ECTS Summer School on glacier-climate change for Norway-based PhDs and Postdocs. Earth`s rapidly melting cryosphere affects the daily lives of millions around the world by driving sea-level rise, limiting water availability, and triggering catastrophes. Sound science-based strategies to deal with these challenges require new and creative inter-disciplinary approaches. However, such holistic cross-fertilizing approaches remain relatively rare.
We want to encourage and inspire Early Career Researchers to break this barrier and invigorate their research by embracing inter-disciplinarity. During the advertised Summer School, we will do so by focusing on field-based case studies that bring together multiple lines of geological evidence.
This year, we`ll take participants to one of Earth`s most dynamic glacial environments: Iceland. Here, you`ll study links between permafrost degradation, melting glaciers and geohazards in week 36 (Sept. 6-11). If the pandemic strikes (again), we`ll have a plan B near beautiful Folgefonna Ice Cap in Norway.
More information and a registration (deadline: June 30) form are found here. Because of Covid-related travel restrictions, registration is only open to researchers based in Norway. Participation of CHESS students will be covered. We welcome anyone who`s research deals with glacier-climate change – whether it is field, observation or model-based.

Questions? Please drop me a line.

We look forward to seeing your applications!

Willem van der Bilt and Jostein Bakke, also on behalf of the other organizers

 

Sep
13
Mon
CHESS/ACDC One Ocean Field Course 2021
Sep 13 – Dec 6 all-day

When: September/October (weekly webinars), 8-24th of November, 2021 (field course)
Where: The field-based teaching will take place onboard the sailing vessel Statsraad Lehmkuhl from Curacao to Havana as part of the One Ocean Expedition and the UN Ocean Decade.
Credits: 5ECTS
Participants: Max 25 students (including participants from UWI, Cuba, USA, and Canada)
Organizer/Coordinator: Kerim Nisancioglu / UiB

Application form

Application deadline: 23 June, 2021


Motivation: The ACDC/CHESS One Ocean field course is a response to Agenda 2030 and the UN Decade of Ocean Science for Sustainable Development. As part of the upcoming One Ocean Expedition, the sailing vessel Statsraad Lehmkuhl has been fitted with state of the art meteorological and oceanographic instrumentation, offering a unique opportunity for students to engage in hands-on field work in a truly interdisciplinary and international learning environment. We have 35 berths reserved from Curacao to Havana and will use the time onboard the sailing vessel, as well as the visits to the ports in the Caribbean, for field-based training in oceanography, marine meteorology and ocean chemistry in the context of the UN Sustainable Development Goals 13 (Climate Action) and 14 (Life Below Water).

International partners in the field course include UWI, Scripps, WHOI, McGill, UT, UW and Harvard. Thus, providing a unique scientific and cultural learning and networking experience between students and lectures from North American educational institutions as well as local Caribbean institutions with in-depth knowledge of the consequence of changes in ocean climate, marine pollution, storm surges, and extreme weather.

Description of activity: The course will start in early September with weekly webinars and colloquia on key topics (including deep ocean temperature, ocean-pollution, wave heights, extreme weather, sustainable development with local examples). The students will be divided into groups, each responsible for one topic, which will be developed under the supervision of a lecturer throughout the duration of the course. On the research cruise in November, the participants will be working in the same groups with hands-on field-based activities making use of the instruments onboard. The instrumental data collected will include ocean hydrography (automated and manual CTD measurements), automated and manual meteorological observations, continuous wave height monitoring, and ocean chemistry (including ocean pollutants and microplastics).

We will take advantage of the similarity of the One Ocean Expedition with the Challenger Expedition (1872-1876) which laid the foundation for modern oceanography and of which data is still crucial today in setting the baseline for ocean climate before the industrial revolution. While onboard Statsraad Lehmkuhl, the students will engage with the crew in repeating the original Challenger hydrographic measurements using hemp ropes (replicas made by maritime museum in Hardanger) and reversing thermometers, while calibrating the observations with modern CTD data. This work will be an important learning experience for the participants, as well as shedding new light in our understanding of a key historical data set.

Costs: for qualified students (ACDC and CHESS partners, as well as UiB Master and PhDs) the cost onboard the ship (berth and food) will be covered, as well as a travel stipend of 4000NOK, any other costs will have to be covered by the participants or their advisors. If you are an international applicant; please check with your adviser if your institution is an ACDC partner.

Note: US based students have an option of disembarking in Nassau (BS) on the 2nd of December instead of Havana (CW).

Read more details and curriculum here.

 

Sep
27
Mon
XRF core scanning for paleoclimate reconstructions in the Arctic @ Linken, Forskningsparken & the Geoscience laboratory at UiT, Tromsø
Sep 27 – Sep 29 all-day

*New dates of the workshop is from 27-29 September*


Organizers: Christine Tømmervik Kollsgård (UiT), Carmen Avery Braun (UiT), Vårin Trælvik Eilertsen (UiT), Eirik Gottschalk Ballo (UiO) and Violeth Swai (UiB)
Confirmed speakers: Eivind Wilhelm Nagel Støren (UiB), Jostein Bakke (UiB), Christian März (University of Leeds), Rik Tjallingii (Divison for Climate Dynamics and Landscape Evolution, GFZ Potsdam), Marit-Solveig Seidenkrantz (Aarhus University), Karina Monsen (UiT) and Christoph Vogt (University of Bremen).
Number of participants: 15
Credit points: 1 ECTS

Registration form here. (Deadline: 30 April)

*CHESS will cover the travel and accommodation costs for CHESS members to participate in this course. The information about making travel claim after the activity can be found on our webpage Travel reimbursement for participating in CHESS activities. *


This coming summer, in late June, a group of early career researchers have invited a hand-full of speakers to facilitate a more in-depth understanding of the theory behind XRF (X-ray fluorescence) data. We are organizing a workshop over three days in Tromsø – and invite you to join us.

The main aim of the workshop is to have a meeting amongst PhD-students and professors working with XRF-data and the interpretation of it, to gain a broader understanding of its possibilities. In addition, we see it useful to develop a network of both PhDs and supervisors working with XRF-data as a means of reconstructing paleoclimate in the Arctic to gain a common understanding of its meaning.

Description of the course

The course will focus on the use of XRF data to reconstruct past climate and environments. XRF core scanning is one of the most common and important high-resolution methods to investigate past conditions in both marine and lacustrine sediments. The geochemical element ratios obtained can give insight into environmental and climatic changes and can be tied to other paleo-climate proxies.

Participants will learn the necessary theory on the data collection methods of the Avaatech XRF Scanner at the UiT laboratory and the iTraxx at UiB. Post-scanning data processing will be adressed through lectures and hands-on experience with data analysis and interpretation, including the use of Xelerate conversion software. Lectures will also introduce the different processes and pre- and post-depositional factors influencing the sediment geochemistry and how these are portrayed in the XRF data. Further, students get to learn which element-ratios can be used for reconstructing paleoclimate in any environment, with a specific focus on the Arctic and glacial environments.

Before the workshop, there will be a limited amount of assigned literature and participants should prepare a short introductory presentation. Please bring with you your own XRF-dataset to work on. You will be asked to sort it in a specific way prior to the workshop. If you do not yet have data, a dataset will be provided. At the end of the course, you will present your conclusions to the group.

Outcomes and benefits:
The students will:
• Be introduced to the Avaatech X-Ray Fluorescence Scanner
• Learn how to process XRF core scanner data
• Get in-depth knowledge of how changes in climate are reflected in XRF data
• Learn to interpret their own datasets and practice presenting their work for others
• Gain a broader network within the paleoclimate community

Pre-requisites: Participants should be currently working with XRF data, or will be as parts of their PhD project.

 

Nov
1
Mon
5th eScience Tools in Climate Science: Linking Observations with models @ Tjärnö Marine Biological Laboratory (Sweden)
Nov 1 – Nov 8 all-day

Responsible:  Michael Schulz, MetNo and Paul Zieger, University of Stockholm (contact: michaels@met.no / Paul.Zieger@aces.su.se )
When:  1.-8. November 2021, plus 2 days virtual after that for final presentation
Where:  Tjärnö Marine Biological Laboratory (attached to University of Gothanburg)
Credit points:   5 ETCS
No. of participants:  20 students (6 PhD students can be funded from CHESS)


Course objective

Teach next generation of scientists to integrate different eScience tools and infrastructures to achieve a more holistic interpretation of the climate system and its components / Students get familiar with specific open-source tools and open-source databases (models & observations) to perform their own small model-measurement evaluation exercises.

For course details and registration: https://www.aces.su.se/research/projects/escience-tools-in-climate-science-linking-observations-with-modelling/

Application deadline: 31 August