United Nations Web TV Live Schedule  for Wednesday, 15 January 2014 
  All indicated times are New York time (GMT-5) 
  http://webtv.un.org    
  
Watch the latest  videos published  on UN Web TV: http://webtv.un.org/search?term=2014-01-14  
  
  
09:00 AM - 12:30 PM         (ECOSOC) 2014 Investor Summit on Climate Risk: Financing  the Clean Energy Future. sponsored by the Office for Partnerships.  
  
10:00 AM - 12:00 PM         (TCC) Understanding early warning of mass atrocities twenty  years after the genocide in Rwanda
  Special event co-organized by the Permanent Mission of Rwanda, the Global  Centre for the Responsibility to Protect, and the Department of Public  Information (DPI)
  Panel discussion related to the upcoming 20th commemoration of the Rwanda  genocide, with high-level speakers. Discussions on the early warning of  mass atrocities.
  It is 20 years since Roméo Dallaire called for early action by the UN that  might have averted the genocide in Rwanda.  Lt. Gen. The Hon. Roméo  A. Dallaire will give the keynote speech at the event to mark the “Dallaire  fax” of January 1994. Comments by UN Deputy Secretary-General Mr. Jan  Eliasson will be followed by a panel discussion.  
  
12:00 PM        Noon  Briefing  
  
01:00 PM        Press  Conference: The 2014 Investor Summit on Climate Risk. 
  Speakers: Ms. Christiana Figueres, Executive Secretary, United Nations  Framework Convention on Climate Change (UNFCCC); Ms. Mindy Lubber, President,  Ceres; Mr. Thomas DiNapoli, Comptroller, New York State; and Mr. Michael  Liebreich, Chief Executive Officer, Bloomberg New Energy Finance.   
  
02:00 PM - 05:45 PM         (ECOSOC) 2014 Investor Summit on Climate Risk: Financing  the Clean Energy Future. sponsored by the Office for Partnerships.  
  
  
BIG DATA technology «TRON»: prediction earthquakes - epicenter, magnitude, date, time on the basis of changes in the behavior of animals.
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment
You can write whatever you want, but technically, the precise mathematical-statistical forecast of earthquakes based on information about the behavior of wild and domestic animals, birds, fish, and individuals available from 1995, with the advent of social networking.