The EU-funded CHIC project (Computational Horizons In Cancer: Developing Meta- and Hyper-Multiscale Models and Repositories for In Silico Oncology) proposes the development of clinical trial driven tools, services and secure infrastructure that will support the creation of multiscale cancer hypermodels (integrative models). The latter are defined as choreographies of component models, each one describing a biological process at a characteristic spatiotemporal scale, and of relation models/metamodels defining the relations across scales. Integrative models can become component models for other integrative models. The development of a secure hypermodelling infrastructure consisting primarily of a hypermodelling editor and a hypermodelling execution environment is a central generic VPH geared objective of CHIC.

To understand the views, opinions and expectations of citizens and patients about the cancer models/hypermodels a short survey was developed, it will help to optimize research in this area. A short survey video will present the hypermodel developed for nephroblastoma, the most common kidney cancer in children. It will answer the question if preoperative chemotherapy will shrink the tumor before surgery. The prediction of this hypermodel may then be used for helping the physician to apply the best treatment for a patient with nephroblastoma.

The survey video is followed by a short questionnaire consisting of two main parts. The first part is asking demographic questions and the second part is related to the understanding of hypermodels. Your answers are anonymous and the whole survey will take you less than 10 minutes.

You are kindly invited to participate in the hypermodel survey of CHIC project. This survey will help CHIC project consortium to understand the knowledge, expectations and opinions of citizens and patients about the cancer models/hypermodels.

For further information, survey video and survey questions, please visit:

For further information about CHIC project, please visit:

CHIC project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement No 600841.