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Climate Change, The Karst Record (KR9 Conference)

Dates:
01.07 - 30.07.2022  
Venue:
Innsbruck, Austria
Contact person:
Gina Moseley, This email address is being protected from spambots. You need JavaScript enabled to view it.
Website:
https://www.uibk.ac.at/congress/kr9/information/

The PAGES-supported 9th International Climate Change: The Karst Record Conference (KR9) will be held in a physical format in Innsbruck, Austria, in 2022. Potential dates will be in July 2022.

The event was originally planned for 2020, rescheduled for 2021, but postponed until 2022.

The actual dates for the 2022 conference will be announced as soon as possible.

*Update from the organizers, 13 November 2020*

An online seminar series (KROnline) runs from December 2020 to March 2021. This is not a replacement for the in-person conference, which will be held in 2022.

> Find out about the KROnline events

 

Information below is for the postponed in-person meeting. 2022 updates will be made asap.

Venue

The main conference location will be the Centre of Chemistry and Biomedicine (CCB) at the University of Innsbruck.

Logistics

Organizers are aiming to be certified by Green Tirol as a "Green Conference". Childcare will be available on-site at no cost during the main conference.

Awards will be given for best student poster, best student presentation, as well as the Karst Waters Institute Karst Award to Prof. Stein-Erik Lauritzen.

Travel support is available for early-career researchers and those from developing countries. See "Financial support" section below.

Description

The KR9 meeting will bring together scientists from around the globe to share the latest progress in the rapidly developing field of cave-based paleoclimate and paleoenvironmental research.

Sessions

The full list of sessions can be accessed here: https://www.uibk.ac.at/congress/kr9/scientific-programme/sessions.html.en

In the meantime, if you would like to offer an afternoon workshop at KR9 (in addition to those proposals we have already received), then please contact Gina Moseley: This email address is being protected from spambots. You need JavaScript enabled to view it.

Financial support

PAGES has provided some financial assistance for the attendance of early-career researchers and researchers from developing countries.
All details: https://www.uibk.ac.at/congress/kr9/information/financial-support.html.en

Childcare

If you think that you will need childcare, it will be helpful for the organisers to know this as soon as possible. Please email This email address is being protected from spambots. You need JavaScript enabled to view it. with details of the child's age.

Field trips and workshops

Fieldtrips and workshops have a participant limit. In order to guarantee your place, organizers recommend booking early. The organisers also reserve the right to cancel the fieldtrips if there is not enough interest.

Accommodation

Please note that July is high-season in Innsbruck and it is recommended to book your accommodation early.

Further information

Go to the website: https://www.uibk.ac.at/congress/kr9/

Questions can be emailed to: This email address is being protected from spambots. You need JavaScript enabled to view it.

PAGES working group session

SISAL: Speleothem data analysis using the SISAL database
Convenors: Laia Comas-Bru (University of Reading, UK) and Kira Rehfeld (University of Heidelberg, Germany)

The goal of this workshop is to provide training to interested researchers in using the SISAL database on Speleothem Isotopes (Atsawawaranunt et al. 2018). First, you will be introduced to the SISAL workbooks, which provide the standardised means to submit and upload new speleothem records to the database. You will actively enter data, which can be new speleothem records which you could bring along or synthetic records that we will provide for the purpose of the workshop. Second, you will learn how to run quality control scripts to ensure that the spreadsheets contain all necessary information. Then, you will learn to query and screen the database using R and python. Based on your selected sites, you will plot time series and maps. Further, you will do some statistical analyses to the data such as applying temporal filters and computing correlations.