Renewable Natural Resources Foundation (RNRF)
recognizes that sustaining the Earth's renewable resources
base will require a collaborative approach to problem
solving using biological, physical and social sciences,
and design and engineering disciplines.
RNRF's misson is to advance the application of science
and related disciplines in decision-making, promote
interdisciplinary collaboration, and educate policymakers
and the public on managing and conserving renewable
New on RNRF BloG
EPA Releases Report on Risk Evaluation of
The report lists the chemical substances that
will undergo risk evaluation including those that
will be initiated within the year and those that
are expected to be completed within the year, and
identifies resources necessary to complete these
Read more about the EPA's report on risk evaluation of chemicals on RNRF's blog, The Renewable Resources Report.
worldwide March For science to be held on april 22, 2017
The March for Science is a celebration of passion
for science and a call to support and safeguard
the scientific community. Recent policy changes
have caused heightened worry among scientists, and
the incredible and immediate outpouring of support
has made clear that these concerns are shared by
hundreds of thousands of people around the world.
The March will take place in public spaces around
the world on April 22, 2017. Activities will
include marches and rallies, open houses,
children's science festivals and teach-ins.
For more information on the March for Science, to
find a local march, or to register a satellite
march, please visit the following website.
SUBSCRIBE TO RNRF LIST SERVE
Renewable Resources Journal
Report of RNRF Congress on Harnessing Big Data
for the Environment
The volume of data generated today – and our
ability to process and analyze it – are
unprecedented. Ubiquitous sensors, expansive data
storage systems, and increasingly advanced
computational capabilities have changed the way we
generate, store, and analyze data. This new big
data paradigm results in data sets that are too
large and too complex to be processed by
traditional applications. When supported by
emerging analytical capabilities, big data
represents a source for ongoing and refined
discovery and analysis of social, market, and
environmental trends and opportunities.