Urgent decision making can’t wait for big data!
In this week Nature’s correspondence, Iadine and Sam raise that the shift of private and public funding towards big data problems could impact our ability to solve some of our most urgent decision problems – for which we have no or very little amount of data available: biodiversity, health and biosecurity issues to cite a few. Sam and Iadine also provide some solutions and call for big ideas. It’s free for all to read.
Chades, I. & Nicol, S. (2016) Information: Small data call for big ideas. Nature, 539, 31-31.
Iadine and Sam wrote a bigger piece on the topic. We welcome your comments: Chades, I. & Nicol, S. (2016, November 2). Small data, big ideas. Zenodo. http://doi.org/10.5281/zenodo.164443
Do you need to find the best decisions to maximize your chances of protecting a threatened species today but also in the future? Yes? Then you might be interested by our primer on stochastic dynamic programming (SDP). Stochastic Dynamic Programming (SDP) is an essential tool in conservation biology and natural resources management.
Marescot L., Chapron G., Chadès I., Fackler P., Duchamp C., Marboutin E. & Gimenez O. (2013). Complex decisions made simple: a primer on stochastic dynamic programming. Methods in Ecology and Evolution, 4, 872-884.
This week Cindy Hauser writes about our adaptive management reading workshop. This workshop was supported by iadine‘s Julius Award research grant. Cindy shares with us the papers she enjoyed reading (found the original post here). Read more
Sam Nicol and Iadine Chades are offering research internship projects for highly motivated students. These projects are suitable for students with a strong background in mathematics and proficient programming skills. In the past we have done some amazing work with students from French engineering schools. Read more
We are seeking a highly motivated and dynamic postdoctoral research fellow to join CSIRO Ecosystem Sciences’ conservation decisions team to undertake research on optimizing adaptive management decisions under imperfect detection. Read more