"08th December 2022, 4 - 6pm CEST" Online-Seminar: Resilience in times of crisis – how to strengthen civil society against shrinking spaces.

Invitation to an online workshop

"RESILIENCE IN TIMES OFCRISIS – HOW TO STRENGTHEN CIVIL SOCIETY AGAINST SHRINKING SPACES?

Thursday 08th of December 2022 (4:00 pm - 6:00 pm CEST)

The covid-19 pandemic has provided authoritarian governments in numerous
regions of the world an excuse to restrict civil society activities. In various
Latin American countries, for example, the scope for NGOs is currently
shrinking dramatically. Belarus or Kyrgyzstan and Hungary are also
restricting civil liberties and taking repressive action against critical voices
from civil society. Authoritarian regimes often deliberately seek to divide civil
society.
According to CIVICUS, over 70 percent of all people worldwide currently live in
so-called "repressed or closed states", only 3.1 percent in open societies. A
decline in political culture and the erosion of democratic principles and
values have become a global phenomenon, manifested for example in the lack
of acceptance for democratic rules or the lack of recognition of election results.

Issues for Discussion:

• Is it possible to counter the "authoritarian learning" of repressive
  governments?
• In which ways can civil society actors cooperate in repressive contexts?
• How can civil society organizations continue to cooperate successfully with
  their partners in the South?
• How can democratization processes be strengthened to enable sustainable
  development?

• Rita Muckenhirn
  SystwasgUG Facilitator in Sustainability and Conflict Transformation
• Dr John Emeka Akude
  Political Scientist and Member of the Cologne City Council
• Nomthandazo Sibozo
  Iliso care Society, Sourth Africa

Registration:
Register now or the latest on 05th of December by email:
duesseldorf@eine-welt-netz-nrw.de
Contact:
Monika Dülge, Eine Welt Netz NRW, Phone 0211 41 74 99 91

More Information .....  Invitation-Workshop-Resilience in times of crisis-08.12.22.pdf