MaRDI Annual Workshop 2022

Weierstrass Institute Berlin, November 09-11, 2022

Announcement, scientific scope and program

The MaRDI annual workshop, a hybrid event, is a chance for all of us who are working in MaRDI and those who are interested in MaRDI-related topics to meet, exchange ideas and get caught up on the latest happenings within the initiative.

The program is now online.

Registrations are now closed. Please use the email-address mardi22@wias-berlin.de for any communication.

Organizers

Keynote speakers

Contact and further information

  • The conference will take place at the Erhard Schmidt Hörsaal at the ground floor of our building in Mohrenstraße 39, 10117 Berlin. It will be also available via Zoom (link will be sent to the participants via e-mail).
  • The conference is free of charge but we need all participants to register.
  • The venue is wheel-chair accessible by appointment. Kindly inform us about any particular needs.
  • Please don't hesitate to contact us under the following email-address: mardi22@wias-berlin.de

Accommodation

If you plan to come in person, please indicate in the registration-form whether you want us to book an accommodation for you. The hotel we usually book is the Motel-One in Spittelmarkt, about 5 minutes walk from the institute.

Corona

Wearing a FPP2 mask during the event is mandatory, except for the speaker and during the catering. We will provide you with three FFP2-masks.

According to our house rules, please be aware that you should do a test at every day of the event, possibly before entering the building. We will provide you with three self-tests. If you prefer to do it in a medical centre, these are the closest centers to the institute. Please contact us if you need any assistance:

Please try to spend the coffee-break outside the building.

The corona measures taken by us are in accordance with the currently valid regulations of the Senate of Berlin. We assume no liability for a possible corona infection that coincides with the visit of our event.

Support

We gratefully acknowledge support by the Mathematical Research Data Initiative (MaRDI)

WIAS