European Council adopts common position on FP7

Seventh Framework ProgrammeThe European Council adopted a common position on the Seventh Framework Programme (FP7) at a Competitiveness Council meeting, held on 25 September in Brussels. Agreement on FP7 should now be reached under the co-decision procedure, assuming the European Parliament responds positively in its second reading.

The political decision was made on 24 July during the previous Competitiveness Council, also held in Brussels. In the July meeting, all but the Austrian, Lithuanian, Maltese, Polish and Slovak delegations voted in favour, carrying FP7 through by a substantial qualified majority.

The political agreement came thanks to intervention by the Presidency, where rules for stem cell research were clarified, to the satisfaction of most delegations.

FP7 has been drawn up to give priority to four specific areas:

  • Cooperation - collaborative research;
  • Ideas - including the establishment of the European Research Council (ERC);
  • People - human resources;
  • Capacities.

FP7 is expected to be easier to negotiate for participants, offer more opportunities for research and researchers, and bring science and society closer.

FP7, including Euratom, has a budget of €50.4 billion.

For further information, please read Council Conclusions (.pdf file, 240.54 KB).

Copyright ©European Communities, 2006
Neither the Office for Official Publications of the European Communities, nor any person acting on its behalf, is responsible for the use, which might be made of the attached information. The attached information is drawn from the Community R&D Information Service (CORDIS). The CORDIS services are carried on the CORDIS Host in Luxembourg – http://cordis.europa.eu.int. Access to CORDIS is currently available free-of-charge.

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...