empower research, enrich diversity
Science-i unites the world’s largest forest inventory database, an unparalleled global network of forest experts, and advanced cyberinfrastructure with dynamic data governance.
Together, these assets accelerate scientific discovery and empower underrepresented communities to lead and participate in global research and knowledge co-production.
We empower research in forestry, ecology, biodiversity sciences, and beyond through artificial intelligence, big data, and world-class expertise.
We support research teams and global consortia—including the Global Forest Biodiversity Initiative (GFBI)—with integrated data infrastructure, advanced analytics, and high-performance computing.
We broaden participation in forestry, ecology, and biodiversity sciences by supporting underrepresented scientists and communities worldwide with access to global data, advanced computing, AI tools, technical training, research partnerships, and opportunities to lead international knowledge co-production.
Benefits to Data Users
Global data supply
Increased research productivity
Transparent and secure collaboration
- Data users, such as scientists and communities who need data to support their research or decision-making, are supplied with the data they need;
- Our global forest inventory database and other global datasets enable or strengthen research and decision-making from local to global scales;
- Real-time connection with data suppliers and data collectors facilitates information exchange to further strengthen research and decision-making;
- Data users are provided with a FAIR platform via Science-i to conduct international research collaboration in a transparent and secure manner.
Benefits to Data Owners
Authorship
Increased data usage and public awareness
- Data owners, such as data collectors, data compilers, and data contributors, are recognized for their work on the data with authorship in all associated Science-i publications;
- Science-i increases the public access to the data, in a secure and mutually beneficial manner;
- Research and decision-making projects promote the public awareness of the data and data owners.
Our members are diverse in geographic and cultural backgrounds
- Afghanistan: 1
- Argentina: 3
- Australia: 10
- Austria: 4
- Bangladesh: 1
- Belgium: 9
- Benin: 2
- Bolivia: 1
- Brazil: 17
- Brunei: 1
- Burkina Faso: 2
- Burundi: 1
- Cameroon: 4
- Canada: 8
- Chile: 1
- China: 64
- Colombia: 1
- Costa Rica: 1
- Czech Republic: 10
- Democratic Republic of the Congo: 4
- Denmark: 8
- Ecuador: 2
- Estonia: 4
- Finland: 4
- France: 5
- French Guiana: 2
- Gabon: 1
- Germany: 10
- Hong Kong: 1
- India: 35
- Indonesia: 3
- Italy: 21
- Ivory Coast: 6
- Japan: 2
- Kenya: 3
- Malaysia: 3
- Mexico: 7
- Nepal: 3
- Netherland: 10
- New Zealand: 2
- Nigeria: 11
- Norway: 1
- Oman: 1
- Pakistan: 1
- Panama: 1
- Poland: 7
- Portugal: 1
- Qatar: 1
- Republic of the Congo: 1
- Russia: 16
- Saudi Arabia: 1
- Serbia: 2
- Sierra Leone: 1
- Slovakia: 1
- South Africa: 5
- South Korea: 3
- Spain: 5
- Sri Lanka: 3
- Sweden: 3
- Switzerland: 9
- Tanzania: 1
- Turkiye: 1
- Uganda: 2
- UK: 14
- US: 65
- Vietnam: 1
Benin, Burkina Faso, Burundi, Cameroon, Democratic Republic of the Congo, Gabon, Ivory Coast, Kenya, Nigeria, Republic of the Congo, Sierra Leone, South Africa, Tanzania, Uganda
Afghanistan, Bangladesh, Brunei, China, Hong Kong, India, Indonesia, Japan, Malaysia, Nepal, Oman, Pakistan, Qatar, Saudi Arabia, South Korea, Sri Lanka, Vietnam
Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Italy, Netherland, Norway, Poland, Portugal, Russia, Serbia, Slovakia, Spain, Sweden, Switzerland, Turkiye, UK
Australia, New Zealand
Canada, Mexico, USA
Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Ecuador, French Guiana, Panama