Tag Archives: academic
Next-generation techniques are already changing the way we do science. Recently the National Academy of Sciences convened a Workshop on Identifying Transformative Research in the Geographical Sciences. Given that so many of the challenges that we currently face are place-based … Continue reading
Updated May 31, 2014
With all the recent excitement and good hopes over the White House Climate Data Initiative, and the ongoing progress of the Group on Earth Observation System of Systems (GEOSS), there is another huge data initiative that bears mention: EarthCube.
I have used the word “initiative” for EarthCube but it has also been described as a vision, as a multi-faceted, multi-layered partnership, and also as a “virtual organization.” As such, it bears quite a bit of resemblance to the international GEOSS, but is much more US-based, having been conceived and currently funded by the US National Science Foundation (NSF). Continue reading
In an earlier post, I had mentioned Esri’s involvement in the large National Science Foundation-funded project known as CyberGIS, which aims to establish a fundamentally new software framework via a seamless integration of cyberinfrastructure, GIS, and spatial analysis/modeling capabilities, particularly … Continue reading
Updated: November 5, 2014
At Esri we are concerned with supporting basic and applied science, but we also recognize that there are many major themes of compelling interest to society that will drive scientific research for the next two decades. And thus we view science as helping us to understand much more than solely how the Earth works, but how the Earth should look (e.g., by way of geodesign), and how we should look at the Earth (i.e., by way of Earth observation in varying forms and the accompanying data science issues of analysis, modeling, developing and documenting useful datasets for science, interoperating between these datasets and between various approaches). Continue reading
“We, the people, still believe that our obligations as Americans are not just to ourselves, but to all posterity. We will respond to the threat of climate change, knowing that the failure to do so would betray our children and future generations. Some may still deny the overwhelming judgment of science, but none can avoid the devastating impact of raging fires, and crippling drought, and more powerful storms.”
Thus spoke President Barack Obama in his 2nd inaugural address, to the delight of many, if not most in the scientific community. Indeed, there are many societal problems across the world that increasingly revolve around science. These include pollution and waste management, pandemics and biosecurity, access to clean air and clean drinking water, response to and recovery from natural disasters, choices among energy resources (oil and gas versus nuclear versus “alternative”), and the loss of open space in urban areas, as well as biodiversity in rural areas. And yet, there is a tension between the world of science, which is focused on discovery, and the world of policy making, which is focused on decisions.
Researchers today need to deal with an avalanche of data—from environmental sensor networks (both on land and at sea), social media feeds, LiDAR, and outputs from global- and regional-scale atmospheric circulation and general climate models and simulations. Because of this, “big data” is emerging as a major research theme for the academic community.
I recently had the opportunity to attend GIScience 2012, which is convened every two years and brings together leading researchers from around the world to reflect on a wide spectrum of geographic information science research areas. Attendees are normally university academics and graduate students working in the areas of geography, computer science, information science, cognitive science, mathematics, philosophy, psychology, social science, environmental sciences, and spatial statistics.