Yeah, thanks a lot. So welcome also from the Potsdam Institute for Climate Impact Research to this conference. PIC is very pleased and also honored to be part of the hosting institutions. And I also want to convey the greetings of our directors, Johan Rockström and Ottmar Adenhofer

to you who also share our view that research software is critically important, particularly for an institute like PIC, as I will show in a minute. You have chosen a very, very beautiful location. You will see our facilities in some of the sessions.

So our new building, there's a conference room with a number of sessions, and then also in our main building with the three cupolas, which originally was an astrophysical observatory

founded in 1871, where also some of your events are happening. So the Potsdam Institute is focusing on questions of global change. So originally we started off with climate change, and that's still our focus, looking into climate change projections,

but also looking into the impacts of climate change as in our name. But in addition, looking into pathways to mitigate climate change, to reduce emissions. So this has become now a much broader activity, also looking into various sustainable development dimensions,

looking into broader questions of global change. And the main tools we are using for this is computer simulations and of course data. So we are not an experimental institute. We are not going out in the field and eliciting or soliciting the data, but we are using them.

So digital information is critically important and research software engineering is critically important for us. Even though we didn't know the term research software engineering until 2016 or 17, we're happy that it's now in a community, it's emerging. Maybe I should briefly mention

we have a high performance computer, also at PIC where we do lots of our model simulations. And we are structured, you can see it up here into these four research departments where we cover these various themes of earth system analysis. So these are earth system models that we're running there. Climate resilience, we are looking at impact,

so we're running climate impact models. Forestry, for example, agriculture. Transformation pathways, these are so-called integrated assessment models that couple the energy, the land system, the economy, trying to project out strategies to reach, for example, the Paris climate goals. And then we have a cross-cutting research department

on complexity science, where they look into new methods, including machine learning and complex network theory. To go one step further, the next 15 minutes I will talk about the details of all the research departments. So don't worry, I won't. I just want to focus your attention

to the base of these research departments. So in each of them, we already have a small, a group, a group, a working group on research software engineering. So we're calling out research software engineering in the structure, it's not only content. And then depending on the focus of these various

departments, they have different objectives. But we also have a model as council where these groups meet and where we discuss institute-wide questions, for example, of utilization of the high-performance computer, questions of open science, of open data.

And so we developed some approaches here. I'm not going into detail, I just want to point you out to a presentation by Lavina Baumstuck tomorrow, Wednesday afternoon, who will talk a bit more about our approach here. So far from our side, we are happy to have you here and I wish you a very productive conference.

Thank you.