Socio-technical systems are systems where autonomous humans and computational entities collectively collaborate with each other to satisfy their goals in a dynamic environment. To be resilient, such systems need to adapt to unexpected human behaviours and exogenous changes in the environment. In this paper, we describe a framework for the development of social-technical systems where adaptation is itself a collective process driven by the awareness of capabilities, goals, constraints and preferences of humans and entities, and knowledge of the environment. The adaptation is controlled by a multi-criteria decision making function combined with an analytic hierarchic process (AHP). We present our approach, the collective adaptation algorithm, and its application to a smart mobility scenario.