About Us

About Us
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Contact Info

684 West College St. Sun City, United States America, 064781.

(+55) 654 - 545 - 1235

info@corpkit.com

DM Interview

Dark Matter Labs Team

Dark Matter Labs (Dm) is an interdisciplinary team working on what is needed to manifest transformations to our food, housing, land, material and nature systems towards a future of mutual thriving. In doing this, we analyze the shifts it requires in the underlying ‘dark matter’ - monetary, economic, governance, regulatory and policy systems - to make this possible, and we work with partners to demonstrate these alternatives in neighborhoods, cities and bioregions. In Urbreath we will be supporting the city of Madrid and the district of Villaverde in overcoming administrative, procurement, regulatory, data and digital barriers to ensure the project contributes to creating a more resilient, prosperous and vital district.

Urbreath provides a great opportunity to continue working on the urban regeneration of areas that are particularly vulnerable to the effects of the climate crisis using Nature based Solutions and an approach that combines climate adaptation, socio-cultural and economic objectives through institutional, financial, technological and socio-cultural innovation. The Dm team aims to help the city of Madrid harness the full potential of the data and digital offerings that are provided by the consortium in a way that supports better decision-making in response to concrete local needs, capacity and aspirations. We look forward to learning together with partners - connecting city needs, evolving technological capacities and participatory processes that empower local communities.

Dm will work with the city of Madrid and local partners to lead the co-design of a participatory evaluation approach for regeneration. The aim is to ensure the project translates into meaningful and impactful change locally which responds to the needs and vision of local communities, and that can be scaled, adapted and learned from at the city scale. The Dm team intends to address some common challenges with data and indicators to support intuitive and actionable evaluation for meaningful change.