Working from home

We are approaching the time of the year to writing applications for the Swedish research councils VR and FORMAS. We all have our tricks to get the opportunity to focus and bring those ideas on a piece of paper (literary). Today I skip commuting and I work from home. Started with a nice walk after leaving my son at the school bus.The sun was rising in a fog and I took the walk around the woods.

Back, I have the opportunity to use my nice and sunny room.

Countryside is both good and bad. Nature is close, but one travels a lot to activities, friends and work. In May, the permanent telephone will be removed for good (and I live in a very populated part of Sweden). Unless we dig down a cable, the only option is mobile internet. But first I have to finish those research applications.


research life 0

Reflections on stakeholder interaction

Today I gave a talk at the CEC Fellows meeting on Lessons learnt from interacting with stakeholders. I shared reflections on three interactions I have been involved with:

  • Honey bees: bee health, pesticides and pollination
  • Invasive species: risk assessment and signal crayfish
  • Uncertainty in scientific assessments: understand and quantify!

The slides of my talk are found here: Sahlin_Lessons learnt from interacting with stakeholders_public

Ways to reach a systematic and science-based approach to stakeholder interaction may be to provide opportunities to learn from experience of interaction, help you to identify what type of interaction you want to work with and how much, and stimulate scientific discussion on interaction (science dialogue, communication, knowledge production, …).


info/meetings 0

Master thesis: Can drones improve detection and treatment of potato late blight?

Early detection and recommendation of higher precision in treatment of late blight in potato crops by using drone photos is the title of a Master Thesis by Anna Lindéus at the Risk Master program at Lund University (LTH). It has been developed in a collaboration with the Centre of Environmental and Climate research and Vultus. The supervisors have been Ullrika Sahlin (CEC) and Abdalla Eltayeb (Vultus).

The thesis was presented Friday 26th at 10.00 in V:Brand 3th floor, V-building, LTH, Lund.

Photo: A Lindeus

Description in Swedish:

Förekomsten av bladmögel hos potatis har varit och är ett globalt problem. Bladmögel orsakade t.ex. den förödande hungersnöden på Irland i mitten av 1800-talet. I dag besprutas potatisodlingar med stora mängder bekämpningsmedel, i form av fungicider, i förebyggande syfte för att motverka bladmögel.

Genom att försöka undvika onödiga och överflödiga fungicidbehandlingar, kommer det att minska kostnaderna för brukarna samt gynna miljön. Forskning pågår för att försöka optimera användningen av fungicider. Det finns redan flera beslutsstödsystem som ger rekommendationer gällande hantering av bladmögel. Dessa beslutsstödsystem använder modeller som försöker förutspå risken för mögelangrepp, som framförallt är baserade på väderdata. Fjärranalys och drönarfoto används för precisionsodling, vilket är ett sätt att minska kostnader och miljöpåverkan.

The influence diagram of the decisions to use drones and to spray with fungicides.

I detta arbete har en riskmodell utvecklats för att förutse risken för bladmögel, baserad på väderdata och drönarfoto. Riskmodellen har integrerats i en beslutsanalys för att undersöka om det är kostnadseffektivt att använda drönare för att upptäcka mögel. En känslighetsanalys med fiktiva värden för kostander visar att det man vinner i känslighet mot huruvida det finns mögel eller ej är svårt att uppväga mot möjliga förluster i potatisskörden, särskilt när kostand för drönarfoton är hög. Det skulle kunna gå att hitta strategier där drönare ger mervärde om de kan minska kostnad för applicering av fungicider.

Vi planerar ta arbetet ett steg till och göra en något mer avancerad modell som ser på beslut och utveckling av mögel vid flera tillfällen och som bygger på mer data från fältförsök och drönarfoton.

Uncategorized 0

Bayesian Analysis and Decision Theory Spring 2018

It is now possible to register to the graduate course in Bayesian Analysis and Decision Theory

This course is hosted by the research school ClimBEco and is open for anyone.

Register here in this google FORM  – there are 3 places left on Feb 15th

The course has three physical meetings during spring 2018: 13-14 March, 20-21 March, 10-11 April badt_2018_schedule_15feb

This course is worth 5 credits –  Course Syllabus

Bayesian methods are used for inference, modelling of complex data, model calibration, and integration of multiple sources of information, combination of data with expert knowledge, risk and decision analysis. This is a course which mix theory and literature seminars with hands on exercises on Bayesian analysis to learn, predict, quantify uncertainty and make decisions.

The course will be open for anyone who has basic knowledge in probability theory or statistics. Experience in R will be an advantage for the hands on exercises. Methods will be presented in settings where they are applied using simple examples from the field of environmental and risk management. The purpose with the applied focus is to give students basic skills to use these methods, understand what they can be used for, and stimulate the student’s curiosity in learning more about them at a more foundational level.

Upon completion of the course, the student shall:

  • Be able to give an account of the principles behind Bayesian decision analysis,
  • Be able to give an account of the principles behind Bayesian and hierarchical modelling,
  • Be able to give examples of principles to quantify and treat uncertainty in quantitative assessments,
  • Be able to give an account of science theoretic arguments behind principles to quantify and treat uncertainty in knowledge production and decision making

The course consists of lectures, exercises, literature seminars and an individual project covered by three physical meetings and self studies. Case studies will be used cutting across the different parts.

Part I (March 13-14)

Ullrika Sahlin and Niklas Vareman

  • Introduction to decision analysis
  • Bayesian Belief Networks
  • The philosophy of uncertainty

Part II (March 20-21)

Johan Lindström and Martin Stjernman

  • Bayesian Hierarchical Modelling in JAGS and INLA.

Part III (April 10-11)

Ullrika Sahlin, Niklas Vareman and Inari Helle (University of Helsinki)

  • Bayesian decision analysis
  • Decision making robust to uncertainty – in theory and practice
  • Limitations and extensions of Bayesian decision analysis

Part IV. Individual project

The purpose with the individual project is to give the students an opportunity to deepen or apply course content on something that are in their own interest. It can be purely theoretical or more hands-on modelling project. A suggestion is to do a decision analysis where one need to integrate data and expert judgment.

The schedule will be specified so that it is possible to travel back and forth from nearby cities over the day starting at 10 and ending at 15, with a possibility of Q&A between 15 and 16 the first day of every two day sessions.

In addition, course participants are invited to participate for free in the one day conference Bayes@Lund taking place in Lund on April 12th.

This course was given as a summer school 2015 – I have pasted the blog post we had back then

First week completed of the summer school Bayesian Analysis and Decision Theory

For questions contact me Ullrika — ullrika.sahlin [at]

students/teaching 0

Bayes@Lund2018 – for the 5th time!

Bayes@Lund 2018 – a Mini-conference on Bayesian Methods at Lund University, 12th of April, 2018

You are welcome to participate in the fifth edition of Bayes@Lund! The purpose of this conference is to bring together researchers and professionals working with or interested in Bayesian methods. Bayes@Lund aims at being accessible to researchers with little experience of Bayesian methods while still being relevant to experienced practitioners. The focus is on how Bayesian methods are used in research and the industry, what advantages Bayesian methods have over classical alternatives, and how the use and teaching of Bayesian methods can be encouraged.

To participate you need to register in advance, please register for Bayes@Lund 2018 here:


Please see the conference web page for more info:

Call for Presentations and Short Tutorials

As last year we invite you to submit a talk to Bayes@Lund, but new for this year is that we also invite you to submit Short tutorials.


A talk is a 20 minutes presentation on any topic related to Bayesian methods, but not restricted to:

  • Case studies. Have you used Bayesian methods in your research? Describe what you did, and how it worked out.
  • Method development. Are you developing novel Bayesian methods that you want to share?
  • Teaching Bayes. Do you have experiences teaching Bayesian methods. What was the challenges, and do you have any useful tips?

Short tutorials are 10/20/30 min long tutorials where you introduce the audience to a  tool, package or methodology you find useful. It doesn’t need to be something you’ve developed, just something you want to show the audience!


As the audience will be highly heterogeneous, the talk and tutorials are expected to be accessible and engaging for a multidisciplinary audience.


To contribute a presentation or short tutorial for Bayes@Lund please send in the title of your talk/tutorial with an abstract (not more than 100 words) to For a short tutorial, also indicate how much time you need (10/20/30 min). The final date for submission is the 11th of February.


Invited speakers: Paul-Christian Bürkner and Jukka Ranta

This year we are happy to announce that the first invited speaker is Paul-Christian Bürkner, researcher at the University of Münster, Department of Psychology. Paul is an expert in Bayesian statistical modelling and he is the creator of the well known BRMS software package that makes it easy to do advanced Bayesian modelling

We are equally happy to announce that the second invited speaker is Jukka Ranta, professor at the Finnish Food Safety Authority, and docent of biometry from Helsinki University. Jukka’s research is focused on Bayesian modelling to do Quantitative Risk Assessment in food safety applications. He has also taught several courses in Bayesian statistics at the University.

Important Dates

Final date for presentations submission: 11th of February
Notifications to presenters: 18th of February
Final date for registration: 1st of April
The conference: 12th of April

Program, Info & registration

Please see the conference web page: or contact us at:

Rasmus Bååth, Lund University Cognitive Science, DataCamp Inc:
Ullrika Sahlin, Lund University Centre of Environmental and Climate Research:

All best,
Rasmus Bååth & Ullrika Sahlin

info/meetings 0

The perfect gift for Xmas – a game about guessing

This game is a blessing, to practice your skills in guessing. Accuracy and precision, are good for a decision. Although being uncertain might seem less, it can lead to success.

Relax your winter holiday with computer games about uncertainty

The Climate-KIC Ideator project Gaming for better decisions under uncertainty is led by Ullrika Sahlin at CEC. The project aims to develop games to make people curious to know more about uncertainty. These games are designed to be entertaining for most ages.

– Working with gamification as a method for science communication has brought me new perspectives. I will use these games when I give lectures to high school students during the science fair in March – they will love it, says Ullrika Sahlin.

– There is an increasing need in society to be able to express, communicate and understand uncertainty. There is also a need to encourage scientific experts to learn more about expressing their own uncertainty, to feel more comfortable using probability and learning how to avoid being over or under confident, Ullrika continues.

Download the games from where you also can see video recordings of the games.

This text was taken from the CEC-news feed 

Uncategorized 0

Games about uncertainty and decision making

Gaming for better decisions under uncertainty is a project with the goal to develop a game that motivates people to learn about uncertainty analysis and decision making in an entertaining way. The idea was to use a game environment to explain the benefits of expressing uncertainty when making predictions and possible ways to make decisions under uncertainty.

The goal has been achieved. A group of experts have met and identified the content for the game. Three modules cover tasks related to expressing and understanding uncertainty using prediction and decision problems from daily life that players can relate to. The modules has been documented and populated with several short games/apps which is available online.

The fourth module cover fictional game scenario that involves decision making under climate uncertainty, where there is a need to consider the balance between social, economic, and environmental impacts. Multi criteria decision analysis without and with uncertainty is demonstrated on a climate mitigation decision problem on choosing a bus technology. The concepts resilience and robustness to uncertainty is illustrated on a climate adaptation decision problem related to flood management.

The prototypes have been tested on independent test persons. The project has identified several ideas and needs of further development of existing and new game prototypes. A conclusion is that existing initiatives to train experts in expressing and understanding uncertainty can benefit from gamification to gain more interest. A continuation can help to better link to these. There is also a high value in developing the case-studies on climate decision problems under uncertainty further so they can better serve societal decision makers. We conclude that the output from this project can serve as a start for such development closer to decision makers and stakeholders.

The project has been externally evaluated by the Assessment and Methodological Support Unit at EFSA, who conclude that games like this stimulating learning by scientific experts would be useful for organisations working with scientific assessments.

Gamification provide new means of communicating science and it has been both challenging and rewarding to put together games that are entertaining but with a clear goal to introduce a theory or concept. Several needs and ideas for future developments has been identified.

This project has been reported. Here follows different links to our reporting. Further info – turn to Ullrika Sahlin

Project web page:

Project duration Oct-Dec 2017

Financed by Climate-KIC Nordic and co-financed by Formas project Scaling up uncertain evidence.

Project Performance Report 2017 

Final Report

ShinyR code can be found here:

The playeish type of games are found here

Check them out!

BeanGuesser_video from Ullrika Sahlin on Vimeo.

FrequencyGuesser_video from Ullrika Sahlin on Vimeo.

ProbabilityBee_video from Ullrika Sahlin on Vimeo.

Quiztimate_video from Ullrika Sahlin on Vimeo.

reports/uncertainty 0

Highly productive meeting on gamification for uncertainty and decision making

For two days in November experts on decision theory, statistics and risk analysis met at Lund University to

  • Come up with ideas for a game to motivate people to learn more about expressing uncertainty and making decisions under uncertainty
  • Identify target theory and concepts to demonstrate in the game
  • Test the ideas on game prototypes

It was a successful meeting with many stimulating discussions. Great help was provided by the testing persons: Cecilia Bengtsson, Elin Bonnevier, Peter Olsson and Tove Ryden Sonesson. An operational game will be ready by the end of 2017. Curious to know more – contact me. Project web site.


We mixed short crash talks with creative ideas.

Igor Linkov gave an excellent presentation on resilience as a concept in Multi Criteria Decision Making.

Uncategorized 0

Test our forthcoming game for uncertainty!

Do you want to be part of a testing group for the development of a computer game about expressing uncertainty and making decisions?

This is something for you who

  • Has an ability to give constructive feedback on your experience of playing a simple computer game
  • A tiny interest in knowing more about how to guess with uncertainty and choose between decisions where there is uncertainty (only applicable for those attending the meeting, which now is over).

Gaming for uncertainty is an ideation project at Lund University financed by Climate-KIC with the aim to develop an entertaining game that motivates people to want to learn more about what it means to express uncertainty and make decisions. The game include simple daily life problems and a case-study related climate change adaptation.

We seek independent reference persons who can test the prototypes for the game developed within the project.

As participant of the group you are expected test and provide feedback on game prototypes via internet during the period 1 –  22 December.

Sign up your interest on this link and we will contact you.

Contact: Ullrika Sahlin Centre for Environmental and Climate Research,


Uncategorized 0

Fruitful interactions at the 3rd Nordic Chapter risk conference

We had a great meeting at beautiful Aalto University, Esboo, Finland.

Check out the twitter flow on #sran17

Conference web page




Uncategorized 0