The world is shifting. Recent events point to urgent needs for new design approaches and solutions. Geodesign provides a revolutionary way forward -- capitalizing on dynamic geospatial technologies to facilitate collaborations that result in true community engagement. This leads to adaptive and resilient strategies at any scale of the built and natural environment. Here you can see how professionals are advancing their skills to take advantage of new technologies and processes. Penn State’s online Geodesign graduate programs (in the Landscape Architecture Dept.) have an excellent 8-year record of helping ignite and retool careers. Options include taking a course for professional development, signing up for the one-year Graduate Certificate, or going for the Master in Professional Studies (MPS) in Geodesign.

This map highlights a selection of geographic areas from classes the Penn State Libraries working with course instructors to include a geospatial exercise and instruction session.

The Center for Remote Sensing of Ice Sheets (CReSIS), a Science and Technology Center led by the University of Kansas, will conduct and foster multi-disciplinary research that will result in technology and models necessary to achieve a better understanding of the mass balance of the polar ice sheets (e.g., Greenland and Antarctica) and their contributions to sea level rise. CReSIS will also work to inspire and educate the next generation of scientists and engineers and benefits society by increasing diversity in science and engineering and by transferring knowledge to industry, the public, policy makers and the scientific community. The Intergovernmental Panel on Climate Change (IPCC) has identified ice sheet mass balance as one of the largest unknown factors in sea-level change, and the range of possible mass balance scenarios developed by IPCC does not account for the rapid changes to ice sheets that have been observed by glaciologists. The problems associated with determining ice sheet mass balance and creating predictive models of ice sheet dynamics are scientifically and technologically complex, and the best way of solving these problems is through a Science and Technology Center focusing the efforts of a sizeable group of scientists and engineers for a significant period of time on this topic of global scale and high societal relevance. Because of the immense size and complexity of these ice sheets, data from satellite and airborne platforms, combined with ground-based, in-situ measurements and observations, are needed to accurately assess their mass balance state. Technological innovations are needed and will be made in three areas, including sensors, platforms, and cyberinfrastructure. New analytical models and algorithms must be developed to interpret the data and improve understanding of glacial dynamics. Scientists and engineers will work closely in the areas of technological innovation, data collection, and data analysis. Five partner institutions and two NASA centers will play critical roles in the new S&T Center. The Byrd Polar Research Center (BPRC) will contribute to development of in-situ observation techniques for characterizing snow, field activities, satellite observations, and modeling. Pennsylvania State University (PSU) will participate in technology development for seismic measurements, field activities, and modeling. The University of Maine (UM) will lead the development and application of numerical ice-sheet models of varying complexity. Major research universities will all be involved in developing and teaching new interdisciplinary courses to support the Center's education mission. The Center of Excellence in Remote Sensing Education and Research (CERSER) at Elizabeth City State University (ECSU, Elizabeth City, NC) will contribute its expertise in analyzing satellite data and generating high-level data products. Haskell Indian Nations University (Haskell, Lawrence, KS) will participate in the use of Geographic Information Systems (GIS) technology to perform spatial analyses and data product generation. Both ECSU and Haskell will bring to the Center their extensive experience in mentoring and educating underrepresented students. All partner institutions will be involved in the analysis and interpretation of observational and numerical data sets. The intellectual merits of the proposed Center are the long-term collaborations it will foster, the structure it will provide to develop and improve important enabling technologies, and the systems it will create to gather, synthesize and interpret new data. The broader impacts of this Center are not only the societal relevance of the topic but also the mechanisms that will be established to train the next generation of scientists and engineers to serve the Nation and that provide a forum for policymakers to learn about the impacts of ice sheets on climate change issues. The next generation of researchers should reflect the diversity of our society. To this end, the Center will continue to work closely with two minority-serving institutions, Haskell Indian Nations University (Haskell) in Lawrence, Kansas, and Elizabeth City State University (ECSU) in Elizabeth City, North Carolina. The Center will conduct extensive outreach and education programs to attract minority students to careers in science and technology. Sea level rise is an important issue that requires long-term multi-disciplinary collaborations among scientists and engineers, which can only be accomplished effectively through the establishment of a Science and Technology Center. Other partners of the Center are Pennsylvania State University, The Ohio State University, and the University of Maine. The goal of this multidisciplinary, multi-institutional effort is to characterize the base of Greenland’s ice sheet and the englacial environment in two areas: the region where the supraglacial lakes form and drain to the bed through moulins and the region where Jakobshavn Glacier tributaries come together to form the main ice stream channel. As lead institution, the University of Kansas (KU) will provide overall direction and management. The Ohio State University (Co-PI Kenneth Jezek, institutional lead), Pennsylvania State University (Co-PI Richard Alley, institutional lead), University of Maine (Terence Hughes, institutional lead), Elizabeth City State University (Linda Hayden, institutional lead) and Haskell Indian Nations University (Carol Bowen, institutional lead) are key research partners as well. The research, which is planned for 2007 and onward, involves four basic efforts: airborne and surface-based radar surveys at various scales, seismic surveys, 150-meter ice core ...

Economy, Education, Government, Health, Religion, and Administrative features in Monrovia, Liberia, for Ebola activity for Penn State Geointelligence Massive Open Online Course.

The attribute tables holds the following information:LEED_RATE - Gold, Silver, Platinum based on official LEED certification. Includes all buildings in the SOMA district. Includes LEED buildings that are not owned by PSU.BUILDINGID - Building acronym. Do not use this as a building unique identifier. LONGNAME - Official long name of building.Owned_Leas - Owned means PSU owns, manages and operates building for PSU use. Leased means the building is being leased (Crown Plaza, Pepco and UTS). Partnership means that PSU is in contract or agreement to use the space (CLSB). Other means PSU does not own or operate building. This data may change up to 2-3 times a year. The Campus Planning Office maintains this information. BLDID_AIM - The Building identification number matches the unique identifier of the Asset Information Managment database (AssetWorks, AimCAD, or the work order request system). Photo - Intended to be an attribute hotlink field, data has not been updated to match the new capital projects website address. Housing - Yes means the building is housing, includes private and PSU housing. Non-PSU housing data sourced from the City of Portland buildings database. ShortName - Shortened building name to accomodate labeling. Seismic - Indicates whether a building has had any seismic retrofit. For additional information ask Capital Archivist Bryce Henry.All other attribute data is sourced from the City of Portland buildings GIS database and additional metadata can be found here: http://www.civicapps.org/datasets/building-footprints-portland

These data are from the P.L. 94-171 Redistricting Data Summary Files produced by the U.S. Census Bureau, specifically data for Table P2 (Hispanic or Latino, and not Hispanic or Latino by Race). This is a geographic subset that includes records for the Census Tracts and Block Groups of Pennsylvania.

Two accompanying data sets are available for 1) core geographies including state, counties, municipalities, and school districts and 2) voting districts via our Census 2020 Open Data portal. For guidance on how to use these data, or to obtain other geographic levels (e.g., blocks), please contact pasdc@psu.edu.

Source: 2020 Census Redistricting Data (P.L. 94-171) Summary Files

More information: https://www.census.gov/programs-surveys/decennial-census/about/rdo/summary-files.html

These data are from the P.L. 94-171 Redistricting Data Summary Files produced by the U.S. Census Bureau, specifically data for Tables P5 (Group Quarters Population by Major Group Quarters Type) and H1 (Occupancy Status (Housing)). This is a geographic subset that includes records for the Census Tracts and Block Groups of Pennsylvania.Two accompanying data sets are available for 1) core geographies including state, counties, municipalities, and school districts and 2) voting districts via our Census 2020 Open Data portal. For guidance on how to use these data, or to obtain other geographic levels (e.g., blocks), please contact pasdc@psu.edu.Source: 2020 Census Redistricting Data (P.L. 94-171) Summary FilesMore information: https://www.census.gov/programs-surveys/decennial-census/about/rdo/summary-files.html

These data are from the P.L. 94-171 Redistricting Data Summary Files produced by the U.S. Census Bureau, specifically data for Table P4 (Hispanic or Latino, and not Hispanic or Latino by Race for the Population 18 Years and Over). This is a geographic subset that includes records for the Census Tracts and Block Groups of Pennsylvania.Two accompanying data sets are available for 1) core geographies including state, counties, municipalities, and school districts and 2) voting districts via our Census 2020 Open Data portal. For guidance on how to use these data, or to obtain other geographic levels (e.g., blocks), please contact pasdc@psu.edu.Source: 2020 Census Redistricting Data (P.L. 94-171) Summary FilesMore information: https://www.census.gov/programs-surveys/decennial-census/about/rdo/summary-files.html