This workshop is about data integration for better conservation and development projects

Chapters

1. Introduction
2. Science & adaptive management
3. Evidence & decision making
4. Strategy & data integration
5. The dark art of data science
6. Data disasters and how to avoid them

• Development: a discipline focused on alleviating aspects of poverty. Poverty arises when the options for a person to live their life are severely restricted

• Conservation: a discipline focused on safeguarding natural features, ecological function, species, and promoting sustainable use of the environment

• Sustainability: ensuring that the harvest from a system does not exceed its productivity

• Often misused when talking about ‘project sustainability’ (code for recurrent funding)
• No project can continue without constant input of energy
• To do so would suggest the existence of a perpetual motion machine