Data science and research methods for social impact
IDEMS has always had a niche expertise in data science for social impact. Although this is rarely the primary focus of our work it manifests itself in many of our project as described in the list below. A common manifestation is in how research methods support we offer includes the integration of unstructured data for research. This includes supporting researchers to move beyond traditional statistical approaches that reduce complexity to control uncertainty, towards studying uncertainty while accepting complexity.
While this is one of our primary area of academic interest, it is most often deliberately approached as a secondary service to our long term collaborators. The importance of trust and respect between partners is essential to adopt the patient attitude needed to embrace complexity in data and research.