1. Socio-economic issues (urban growth & human heath)

2. Major research questions Where to locate land uses (binationally) Mortality & morbidity related to environmental quality (unpaved roads, air pollution, ……) Predict where growth would occur and downstream impacts Modeling of land use and transportation needs (evacuation as well as work related, within watershed vs. county) Pilot projects along the border to use GIS/layers and determine applicability at community level Land ownership Effects of costs and benefits of treating waste water/air quality Flood hazard in urban areas Underlying incentives and what leads to urban growth Rural areas concern for water supply/quality Population growth (water availability, urban planning ….)

3. Data issues How data are reported (both health, census and environmental) Access to data Standardization – health and environment private versus public health data Accuracy esp. in rural areas Time frame representation - Real time data Resolution Cost Economic issues on using information Population census not frequent enough to keep up with population changes – demand based on income level Need to conduct focused surveys Change detection issues Depoliticize data (greater public access to data currently available) Infrastructure projects lacking interface

4. Scale issues Scale will be determined by particular research questions Raw formats require general conversions and projection changes

5. Progress made SCERP project has created tons of data and models, economics, natural resources (holistic) Technology (water supply, software compatibility, data analysis integration) sharing data/making data available USGS and INEGI partnership Health data comparability (ICD 9 & 10) USGS working with SGM (Servicio (?) Geologico Mexicano) Border Health Viewer (EROS data etc..) Partnerships (national, municipal, local) state and municipal industries are more open to using GIS Border Environmental Health progress standards for shapefiles (projections etc..) Agua peria and Yaquo success story for USGS in terms of infrastructure ESRI donating software to government agencies involved and universities that bridge inoperability issues

6. Barriers to overcome Time constraints Money Standardization Language Scale Data sharing problems in both public and private sectors Proprietary nature of data Obtaining data Continuity of data Need to make data more useful for pulling up statistics and meaning Lack of awareness & communication of needs Lack of trained students Private industry (ESRI) with exclusive contracts.

7. Recommendations Website containing list of data sources, available data ……