2. The
development of digital screens. 2.1. The classification of screens into
structural and behavioural remains 2.2. Interest in cartel screens is
increasing. 2.3. Digital screening methods in recent academic literature. 2.4.
The risk of false negativesfalse positives. 2.5. Machine learning enhances
digital screening. 2.6. Digital screening by private companies. 3. Conditions
for effective screens: data and staff requirements 3.1. Good screens require
available data. 3.2. Focus on bid-rigging screens and procurement data. 3.3.
Screening requires specialised knowledge and skills. 3.4. International
co-operation for data sharing and screen development. 4. The value of screening.
4.1. Supporting the openingclosing of a case. 4.2. Providing evidence for
an infringement decision.
