Project SP16e: Geospatial Big Data Analytics and Geographic Education

Project SP16e: Geospatial Big Data Analytics and Geographic Education

Researcher: Eun-Kyeong Kim euk163@psu.edu

Position type: literature review, writing

Application deadline: 5:00 p.m. on Wednesday, January 13, 2016

Application URL: http://www.geog.psu.edu/uroc-apply

Position description

I am seeking one undergraduate student to assist with writing a journal paper on “Geospatial Big Data Analytics and Geographic Education in the United States.” The selected student will be a part of our team for a NSF research project on “Building a Big Data Analytics Workforce in iSchools” that I am involved in as a graduate project manager. In this NSF project, we develop different types of learning modules (digital storytelling about big data, security analysis in the cloud, and big data mining) and teaching methods/materials. You can check more detailed information on our project website: http://sites.psu.edu/bigdata/. The aim of this UROC project is to investigate the current situations on higher education on geospatial (big) data science in the U.S. and discuss the future direction of it. Potential tasks of undergraduate assistants in this UROC project are to: 1) Review an extensive literature on a higher education on geospatial (big) data science in the U.S.; 2) Discuss with me challenges and opportunities in geographic education on geographic information science in a big data era; 3) Submit a paper to the journal related to geographic education; 4) Present our study in the 1st Symposium on Research Methodology in the Big Data Era held on March, 19th, 2016 at Penn State, in which I am a conference general co-chair. For undergraduate assistants who are interested in geospatial big data analytics and geographic education, this project will be a great opportunity to learn basic concepts of big data analytics and geographic education on them. It will also be a good experience and a great addition to your resume to write and submit a journal paper as well as present a research paper in the professional symposium.

Desired qualifications

Candidates should have the ability to critically review and discuss existing literature on research topics of interest and construct concise and logical arguments. Candidates who are willing to learn geospatial big data analytics and geographic education are preferred; candidates who have background knowledge in GIS and data analysis are preferred. Candidates must be willing to contribute 120 total hours of work toward the project over the semester, resulting in 3 credit hours applied to the transcript. There is no monetary stipend attached to this assistantship, although the experiences gained in this work will be immediately valuable when applying for graduate school or full-time employment.

To apply

Prospective candidates should complete the application form at http://www.geog.psu.edu/uroc-apply by 5:00 p.m. on Wednesday, January 13, 2016. Follow all instructions.