BEGIN:VCALENDAR
VERSION:2.0
PRODID:unctad.org
BEGIN:VEVENT
UID:6a4d0580095bf
DTSTART:20260312T150000Z
SEQUENCE:0
TRANSP:OPAQUE
DTEND:20260312T000000Z
LOCATION:Belize City\, Belize
SUMMARY:National workshop on enhanced statistics for evidence-based climate
  action in maritime trade\, transport and fisheries in Belize
CLASS:PUBLIC
DESCRIPTION:Belize strongly relies on the ocean and coastal and marine reso
 urces for its economic development and generation of welfare\, including f
 isheries and the maritime movement of goods. Like other economic sectors\,
  ocean-related activities must contribute to global efforts to reduce gree
 nhouse gas (GHG) emissions\, one of the main drivers of global warming. SI
 DS are relatively strongly exposed to the disastrous effects of global war
 ming\, in particular rising sea levels and extreme weather events. Succes
 sfully managing the transition towards a low-carbon ocean-based economy re
 quires strong analytical and statistical capacities. Strengthening these c
 apacities is a primary aim of the project “Evidence-based Climate Action
  through Artificial Intelligence and Data Innovation for Caribbean SIDS”
 \, organized by the United Nations Department of Economic and Social Affai
 rs (UNDESA) and UN Trade and Development (UNCTAD). This workshop\, jointly
  organized with the Ministry of Blue Economy and Disaster Risk Management
 \, the Belize Institute of Statistics and the Belize Port Authority\, wi
 ll kick off the activities for the project in Belize.The project will supp
 ort Belize in leveraging satellite data from the Automatic Identification 
 System (AIS) for tracking vessel movements\, made available through the UN
  Global Platform\, in combination with national sources\, to produce moder
 n and high-quality GHG emission statistics for maritime trade\, maritime t
 ransport and fisheries\, coherent with international trade statistics and 
 national accounts. It will also assist Belize in using these data for anal
 ysis and the development of policy recommendations to manage the transitio
 n towards a low-carbon blue economy\, including capturing new opportunitie
 s arising from that transition.ObjectivesThe workshop aims to:Introduce th
 e project and its goals to national stakeholdersAlign project objectives w
 ith Belize’s data needs and policy prioritiesIdentify related initiative
 s in Belize and the CaribbeanPresent a statistical method for estimating m
 aritime emissions using AIS and national dataExplore the relevant statisti
 cal resources in the countryEstablish collaboration\, roles and plans for 
 data-sharing among national agenciesAudienceOpen to government officials\,
  national statistics producers\, fisheries experts\, civil society\, acade
 mia\, and international partners.&lt\;p&gt\;Belize strongly relies on the 
 ocean and coastal and marine resources for its economic development and ge
 neration of welfare\, including fisheries and the maritime movement of goo
 ds. Like other economic sectors\, ocean-related activities must contribute
  to global efforts to reduce greenhouse gas (GHG) emissions\, one of the m
 ain drivers of global warming. SIDS are relatively strongly exposed to the
  disastrous effects of global warming\, in particular rising sea levels an
 d extreme weather events.&amp\;nbsp\;&lt\;/p&gt\;&lt\;p&gt\;Successfully m
 anaging the transition towards a low-carbon ocean-based economy requires s
 trong analytical and statistical capacities. Strengthening these capacitie
 s is a primary aim of the project “Evidence-based Climate Action through
  Artificial Intelligence and Data Innovation for Caribbean SIDS”\, organ
 ized by the United Nations Department of Economic and Social Affairs (UNDE
 SA) and UN Trade and Development (UNCTAD). This workshop\, jointly organiz
 ed with&amp\;nbsp\;the Ministry of Blue Economy and Disaster Risk Manageme
 nt\, the Belize Institute of Statistics and&amp\;nbsp\;the Belize Port Aut
 hority\,&amp\;nbsp\;will kick off the activities for the project in Belize
 .&lt\;/p&gt\;&lt\;p&gt\;The project will support Belize in leveraging sate
 llite data from the Automatic Identification System (AIS) for tracking ves
 sel movements\, made available through the UN Global Platform\, in combina
 tion with national sources\, to produce modern and high-quality GHG emissi
 on statistics for maritime trade\, maritime transport and fisheries\, cohe
 rent with international trade statistics and national accounts. It will al
 so assist Belize in using these data for analysis and the development of p
 olicy recommendations to manage the transition towards a low-carbon blue e
 conomy\, including capturing new opportunities arising from that transitio
 n.&lt\;/p&gt\;&lt\;h4&gt\;&lt\;strong&gt\;Objectives&lt\;/strong&gt\;&lt\;
 /h4&gt\;&lt\;p&gt\;The workshop aims to:&lt\;/p&gt\;&lt\;ul&gt\;&lt\;li da
 ta-list-item-id=&quot\;e91cb00df8cfa11d99020694e3febb014\n\nView meeting o
 n unctad.org\nhttps://unctad.org/meeting/national-workshop-enhanced-statis
 tics-evidence-based-climate-action-maritime-trade
DTSTAMP:20260707T135616Z
END:VEVENT
BEGIN:VEVENT
UID:6a4d05800960c
DTSTART:20260313T150000Z
SEQUENCE:0
TRANSP:OPAQUE
DTEND:20260313T000000Z
LOCATION:Belize City\, Belize
SUMMARY:National workshop on enhanced statistics for evidence-based climate
  action in maritime trade\, transport and fisheries in Belize
CLASS:PUBLIC
DESCRIPTION:Belize strongly relies on the ocean and coastal and marine reso
 urces for its economic development and generation of welfare\, including f
 isheries and the maritime movement of goods. Like other economic sectors\,
  ocean-related activities must contribute to global efforts to reduce gree
 nhouse gas (GHG) emissions\, one of the main drivers of global warming. SI
 DS are relatively strongly exposed to the disastrous effects of global war
 ming\, in particular rising sea levels and extreme weather events. Succes
 sfully managing the transition towards a low-carbon ocean-based economy re
 quires strong analytical and statistical capacities. Strengthening these c
 apacities is a primary aim of the project “Evidence-based Climate Action
  through Artificial Intelligence and Data Innovation for Caribbean SIDS”
 \, organized by the United Nations Department of Economic and Social Affai
 rs (UNDESA) and UN Trade and Development (UNCTAD). This workshop\, jointly
  organized with the Ministry of Blue Economy and Disaster Risk Management
 \, the Belize Institute of Statistics and the Belize Port Authority\, wi
 ll kick off the activities for the project in Belize.The project will supp
 ort Belize in leveraging satellite data from the Automatic Identification 
 System (AIS) for tracking vessel movements\, made available through the UN
  Global Platform\, in combination with national sources\, to produce moder
 n and high-quality GHG emission statistics for maritime trade\, maritime t
 ransport and fisheries\, coherent with international trade statistics and 
 national accounts. It will also assist Belize in using these data for anal
 ysis and the development of policy recommendations to manage the transitio
 n towards a low-carbon blue economy\, including capturing new opportunitie
 s arising from that transition.ObjectivesThe workshop aims to:Introduce th
 e project and its goals to national stakeholdersAlign project objectives w
 ith Belize’s data needs and policy prioritiesIdentify related initiative
 s in Belize and the CaribbeanPresent a statistical method for estimating m
 aritime emissions using AIS and national dataExplore the relevant statisti
 cal resources in the countryEstablish collaboration\, roles and plans for 
 data-sharing among national agenciesAudienceOpen to government officials\,
  national statistics producers\, fisheries experts\, civil society\, acade
 mia\, and international partners.&lt\;p&gt\;Belize strongly relies on the 
 ocean and coastal and marine resources for its economic development and ge
 neration of welfare\, including fisheries and the maritime movement of goo
 ds. Like other economic sectors\, ocean-related activities must contribute
  to global efforts to reduce greenhouse gas (GHG) emissions\, one of the m
 ain drivers of global warming. SIDS are relatively strongly exposed to the
  disastrous effects of global warming\, in particular rising sea levels an
 d extreme weather events.&amp\;nbsp\;&lt\;/p&gt\;&lt\;p&gt\;Successfully m
 anaging the transition towards a low-carbon ocean-based economy requires s
 trong analytical and statistical capacities. Strengthening these capacitie
 s is a primary aim of the project “Evidence-based Climate Action through
  Artificial Intelligence and Data Innovation for Caribbean SIDS”\, organ
 ized by the United Nations Department of Economic and Social Affairs (UNDE
 SA) and UN Trade and Development (UNCTAD). This workshop\, jointly organiz
 ed with&amp\;nbsp\;the Ministry of Blue Economy and Disaster Risk Manageme
 nt\, the Belize Institute of Statistics and&amp\;nbsp\;the Belize Port Aut
 hority\,&amp\;nbsp\;will kick off the activities for the project in Belize
 .&lt\;/p&gt\;&lt\;p&gt\;The project will support Belize in leveraging sate
 llite data from the Automatic Identification System (AIS) for tracking ves
 sel movements\, made available through the UN Global Platform\, in combina
 tion with national sources\, to produce modern and high-quality GHG emissi
 on statistics for maritime trade\, maritime transport and fisheries\, cohe
 rent with international trade statistics and national accounts. It will al
 so assist Belize in using these data for analysis and the development of p
 olicy recommendations to manage the transition towards a low-carbon blue e
 conomy\, including capturing new opportunities arising from that transitio
 n.&lt\;/p&gt\;&lt\;h4&gt\;&lt\;strong&gt\;Objectives&lt\;/strong&gt\;&lt\;
 /h4&gt\;&lt\;p&gt\;The workshop aims to:&lt\;/p&gt\;&lt\;ul&gt\;&lt\;li da
 ta-list-item-id=&quot\;e91cb00df8cfa11d99020694e3febb014\n\nView meeting o
 n unctad.org\nhttps://unctad.org/meeting/national-workshop-enhanced-statis
 tics-evidence-based-climate-action-maritime-trade
DTSTAMP:20260707T135616Z
END:VEVENT
END:VCALENDAR