Information Technology Challenges for Energy and Environmental Policy Research

  • Sean S. CostiganEmail author
  • Erica M. Dingman
Part of the Global Power Shift book series (GLOBAL)


Advancements in the fields of computer science and the culture of transparency run contrary to the prevailing standards of weak data sharing and information silos. Nowhere is this more evident than in the field of climate change policy as makers and researchers need better access to data. While complexity in climate science will continue to challenge policy makers, journalists and researchers, basic steps should be undertaken by all organizations operating in these fields to improve access to their raw data, to share that same data or the methods that they used to collect it, and to extend services to the international community. Recognition of the problem is a good start, but pressure is mounting for change in the present policy analysis and creation system and time is at a premium, in particular for dynamically changing environments like the Arctic. The chapter closes with recommendations for using information technology and big data relevant for global energy and environmental policy and international relations at large.


Arctic Big data Arctic Council Transparency sharing Climate change Information technology Information literacy 


  1. Arctic Council. (2009). Arctic marine shipping assessment 2009 Report (second printing). Accessed 30 January, 2014, from
  2. ArcticData (a). What is ArcticData? Arctic Council. Accessed January 30, 2014.
  3. Augustsson, P. (2011). Towards a common strategy for the Arctic: The Nordic countries can lead the way. In R. Nurick & M. Nordenman (Eds.), Nordic­Baltic security in the 21st century: The regional agenda and the global role. Washington, DC: Atlantic Council.Google Scholar
  4. BBC News. (2010, January 21). Tim Berners­Lee unveils government data project. BBC News. Accessed January 30, 2014.
  5. Bollier, D., & Firestone, C. M. (2010). The promise and peril of big data. Washington, DC: The Aspen Institute.Google Scholar
  6. CAFF & PAME. ArcticData ( accessibility to Arctic Council data, Conservation of Arctic Flora and Fauna and Protection of the Arctic Marine Environment. Accessed 30 January, 2014, from
  7. Carmody, T. (2013, January 10). Google and CDC show US flu epidemic among worst in a decade. The Verge. Accessed January 30, 2014.
  8. Cate, F. H. (2008). Government data mining: The need for a legal framework. Harvard Civil Rights—Civil Liberties Law Review, 43(2), 435–489.Google Scholar
  9. Catone, J. (2011, June 27). How much data will humans create & store this year? [infographic]. Weblog Mashable. Accessed January 30, 2014.
  10. Christopher, T. (2008, June 29). Can weeds help solve the climate crisis? New York Times. Accessed January 30, 2014.
  11. Cukier, K., & Mayer­Schoenberger, V. (2013). The rise of big data: How it’s changing the way we think about the world. Foreign Affairs, May–June, 28–40.Google Scholar
  12. Washington. Accessed January 30, 2014.
  13. Hamby, S. (2011, November 22). Top three technologies to tame the big data beast. Weblog Huffington Post. Accessed January 30, 2014.
  14. Helbing, D. (2013). Globally networked risks and how to respond. Nature, 497(7447), 51–59.CrossRefGoogle Scholar
  15. Higginbotham, J., Charron, A., & Manicom, J. (2012). Canada­US Arctic Marine Corridors And Resource Development. Centre for International Governance Innovation, 24(November), 1–8.Google Scholar
  16. ICSU. (2010). Universality of science in the polar regions. International Council for Science. Accessed January 30, 2014.
  17. IPY. (2012). Accessing, sharing and preserving data as a legacy of IPY. In From knowledge to action. Accessed January 30, 2014.
  18. Kamenetska, S. (2013, January 16). APIS change business. Weblog Mashery. Accessed January 30, 2014.
  19. Kelley, M. (2012, January 16). The new normal: Annual library budgets survey 2012. Library Journal. Accessed January 30, 2014.
  20. Lenihan, D. (2013, February 26). Accountable first nations governance – minus the paternalism. IPolitics. Accessed January 30, 2014.
  21. Maguire, S. (2011). Can data deliver better government. The Political Quarterly., 82(4), 522–525.CrossRefGoogle Scholar
  22. Marks, J. (2012, May 2). ‘Big data’ could remake science – and government. National Journal. Accessed January 30, 2014.
  23. McKendrick, J. (2010). Keeping up with ever­expanding enterprise data—2010 IOUG database growth survey. Unisphere Research, a division of Information Today, Inc. New Jersey: New Providence.Google Scholar
  24. McKendrick, J. (2013, August 4). Why no one can be a ‘passive consumer’ in today’s API economy. Weblog Smartplanet. Accessed January 30, 2014.
  25. Munson, J. (2013, January 4). Russia set to dominate Arctic shipping unless Canada, US step up. IPolitics. Accessed January 30, 2014.
  26. Murayama, Y. (2012). The ICSU World Data System tackles IPY data challenges. Accessed January 30, 2014.
  27. Nettler, J. (2013, March 3). The newest climate challenge: fatigue. Planetizen. Accessed January 30, 2014.
  28. Radford, T. (2011). Of course scientists can communicate. Nature, 469(445). Accessed January 30, 2014.
  29. Seidler, C. (2013, February 20). Interview. The Arctic Institute podcast radio programme. Accessed January 30, 2014.
  30. Siegler, M. G. (2010, August 4). Eric Schmidt: Every 2 days we create as much information as we did up to 2003. Weblog TechCrunch. Accessed January 30, 2014.
  31. Subramony, D. P. (2010). Understanding the complex dimensions of the digital divide: Lessons learned in the Alaskan Arctic. The Journal of Negro Education, 76(1), 57–67.Google Scholar
  32. The White House. (2012, March 29). Fact sheet: Big data across the Federal Government. Executive Office of the President, Washington. Accessed January 30, 2014.
  33. Trapani, G. (2008, September 22). Information overload is filter failure, says Shirky. Lifehacker. Accessed January 30, 2014.
  34. United States Department of Agriculture. What’s new. Accessed January 30, 2014.
  35. Varki, A. (2009). Human uniqueness and the denial of death. Nature, 460(7256), 684.CrossRefGoogle Scholar
  36. World Wildlife Fund. (2012). Important marine areas in the Arctic. World Wildlife Fund. Accessed January 30, 2014.
  37. Yiu, C. (2012). The big data opportunity: Making government faster, smarter and more personal. Policy Exchange 1–36.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.The New SchoolNew YorkUnited States
  2. 2.World Policy InstituteNew YorkUnited States

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