I am chairing the Geospatial Data Science Workshop, held in University Park, PA, USA, February 3-5, 2017, with Mark Simpson and Jungwoo Ryoo. This workshop is sponsored by Korean-American Scientists and Engineers Association (KSEA) and Big Data Social Science-Integrative Graduate Education and Research Traineeship (BDSS-IGERT). The CfP of our workshop is as follows.
Call for Participation
Geospatial Data Science Workshop (GDS 2017) at Penn State ’17
We cordially invite you to participate in the 1st Geospatial Data Science Workshop, to be held February 3-5, 2017 in State College, PA.
New geospatial data sources, such as online social media, increasingly mean that spatial data is “big data.” While these data provide enormous potential for a variety of applications across numerous disciplines, with big data come the well-known challenges of volume, velocity, uncertainty, heterogeneity, multidimensionality, and many others. These challenges require new data science tools and techniques that move beyond the classic desktop GIS paradigm, such as high performance computing and machine learning.
GDS 2017 is an opportunity to learn the skills needed to process, analyze, and visualize large spatial datasets, skills that are becoming increasingly demanded by academia, industry, and government.
The workshop consists of a colloquium seminar, multiple hands-on tutorials, and networking session.
Specific topics include:
- Advanced computational computing (high performance computing and distributed computing)
- Big data collection and processing
- Machine learning
- Geospatial data visualization
- R/Python programming for data analysis