WC 10.4.2 REMUNERATION PRINCIPLE

WC 10.4.2 REMUNERATION PRINCIPLE

  IFATCA Policy is: Remuneration for air traffic controllers should recognize the uniqueness of the Air Traffic Control profession and the associated responsibilities. Remuneration of air traffic controllers should reflect their “employment status” in accordance with ILO Publication ISCO-08, in … Continued
Intimidation of the Controller

Intimidation of the Controller

19TH ANNUAL CONFERENCE, Toronto, Canada, 05-09 May 1980 WP No. 59 Intimidation of the Controller Introduction SC7 has during the past year followed instances of coercion upon the Controller that amounted to intimidation. These instances varied from court action on … Continued
Review Policy on Stress Management

Review Policy on Stress Management

46TH ANNUAL CONFERENCE, Istanbul, Turkey, 16-20 April 2007 WP No. 158 Review Policy on Stress Management Presented by PLC Introduction 1.1 This work item was put on the Professional Legal Committee (PLC) Work Programme in Kaohsiung 2006, following the discussion … Continued
Nightshift Policy and Fatigue Management

Nightshift Policy and Fatigue Management

37TH ANNUAL CONFERENCE, Toulouse, France, 30 March – 3 April 1998 WP No. 148 Nightshift Policy and Fatigue Management Introduction At the Taipei Conference in 1997 SC4 presented a WP (159/97) on the Medical Effects of Night shift, which was … Continued
Determining And Result Of Inadequate Staffing

Determining And Result Of Inadequate Staffing

41TH ANNUAL CONFERENCE, Cancun, Mexico, 15-19 April 2002 WP No. 167 Determining And Result Of Inadequate Staffing Introduction At the 40th Annual Conference held in Geneva Switzerland, SC4 was tasked to prepare a working paper for Determining and Result of … Continued
Industrial Relations under ILO Conventions

Industrial Relations under ILO Conventions

53RD ANNUAL CONFERENCE, Gran Canaria, Spain, 5-9 May 2014 WP No. 159 Industrial Relations under ILO Conventions Presented by PLC Summary This paper gives an overview of the International Labour Organization (ILO) protection of the right to collective action as … Continued
AAS 1.20 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN ATC

AAS 1.20 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN ATC

Demand will exceed capacity in more parts of the global ATM system in the near future. To relieve congestion and improve efficiency, modernisation will be needed, and AI and ML could provide solutions to the current challenges. There are many … Continued