GREEN UCL
News
Green Impact Award April 24th 2013
The NUS Green Impact programme has been in progress at UCL for the second year running. The programme encourages teams to undertake a number of actions to reduce their environmental impacts - thereby contributing to UCL's overall environmental sustainability programme. In 2011/12, 19 UCL teams signed up and completed actions as part of Green Impact. In 2012/13, 29 teams have got involved in the programme and undertaken actions ranging from the purchase of sustainable food to the use of UCL's waste reuse scheme, WarpIt. As a result of the programme, UCL was able to achieve the following More...
Published: May 2, 2013 11:55:53 AM
Green Champions Forum and Training Sessions
The next Green Champions Forum will take place on Wednesday April 10th 1-2pm in G01 Central House. Lunch will be provided. If you would like to attend please email greenucl@ucl.ac.uk with the number of people and any dietary requirements. More...
Published: Mar 11, 2013 10:39:22 AM
Milena Nikolic (Cognitive, Perceptual and Brain Sciences Research): There Aren’t Plenty More Fish in the Sea: A Causal Model Approach to Understanding Overfishing
Once considered inexhaustible, our oceans are now in a state of global crisis as more and more people compete for fewer and fewer fish. Overfishing threatens the food and economic security of millions of people who rely on fish as a direct source of nutrition and a means of income. Yet the solutions are in our hands, because what we buy for dinner tonight can determine whether tomorrow's generations will continue to enjoy the oceans' riches.
Our research recognizes the need to incorporate consumer’s behaviour into conservation strategies. Our aim is to understand how consumers represent the causes of complex environmental phenomena such as overfishing. In particular, do they see themselves as a key link in a complex supply network that creates motivations to overfish? To what extent do they see their seafood choices as deterministic causes of overfishing? We use a causal model approach to explore the answers to these and other questions.
