Institute for Science and Public Policy (ISPP)Mission Employ innovative, multidisciplinary approaches linking scientific information to decision making in order to support the development and implementation of innovative solutions to complex problems. Background Founded in 1970, the Institute for Science and Public Policy (ISPP) uses a collaborative, multidisciplinary team approach to conduct basic and applied research projects. ISPP’s primary goals are to:
ISPP faculty and staff have extensive experience in risk assessment, environmental modeling, decision analysis, technology evaluation, remote sensing/GIS, environmental impact assessment, materials flow analysis, and regulatory analysis. ISPP has established ongoing collaborative relationships with research groups in the European Union, Russian Federation, Ukraine, Belarus, and Kenya as well as U.S. national laboratories and other universities. Focus Areas Interdisciplinary teams, including active involvement of students, conduct research projects to enhance understanding of a series of key policy areas:
Extramural funding sources for recent projects conducted by ISPP to fulfill the Institute’s mission include:
Vision The Institute for Science and Public Policy is committed to conducting interdisciplinary scholarship that addresses the increasingly critical roles that science, technology, and values play in designing and implementing effective policy responses to key issues of national and international concern. The underlying goal is to involve faculty, staff, and students in research projects that make significant intellectual contributions to the knowledge base for decision making. CORE FACULTY Mark Meo, Senior Fellow mmeo@ou.edu Professor Civil Engineering and Environmental Science Research Interests: Environmental sustainability Corporate environmental management Renewable energy Spatial Modeling Laboratory The Institute for Science and Public Policy maintains the Spatial Modeling Laboratory housed on the first floor of the Sarkeys Energy Center at the University of Oklahoma. The Spatial Modeling Laboratory supports GIS, remote sensing, statistical analysis, modeling/simulation, and database management. Major equipment housed include: Dell 530 Xenon dual processor server, Dell poweredge dual 500 MHz Pentium processor server with 1 GB RAM equipped with RAID level 1 storage and retrieval system and Digital Linear Tape backup, Dell PowerVault 240GB network storage device, Hitachi GF-2050 DVD recorder, Dell 530 Xenon dual processor analytical workstation, two Silicon Graphics 500 MHz Pentium processor 320 graphics workstations with 1 GB RAM, two Dell 410 single 500 MHz Pentium processor analytical workstations with 384 MB RAM, AGFA T2500 scanner, HP 6390C scanner, 60” HP DesignJet 5000 postscript enabled color plotter, HP 4100DTN LaserJet duplexing postscript printer, HP DesignJet ColorPro GA postscript color printer, and CTCO digitizer. The Spatial Modeling Laboratory utilizes a variety of software applications including ArcGIS, SPSS and SAS statistical packages, multimedia modeling programs, and FORTRAN.
Selected Publications Avrorin, E.N., A.G. Tsvetokhin, A.I. Xenofontov, E.I. Kourbatova, J.L. Regens, and J.T. Gunter, “A theoretical approach to modeling ionizing radiation migration and dose in aquatic environments using Monte Carlo simulation,” Human & Eco Risk Assess (in press). Ellington, R., M. Sharfman, and M. Meo, “DuPont, Conoco, and the Biodegradable Grease Project,” Corporate Environmental Strategy 7 (2000):62-71. Gaddie, R.K. and J.L. Regens, Regulating Wetlands Protection (Albany, NY: State University of New York Press, 2000). Gu, W., C.M. Mbogo, J.I. Githure, J.L. Regens, G.F. Killeen, F.E. McKenzie, C.M. Swalm, G. Yan, and J.C. Beier, “Low recovery rates stabilizing malaria in low transmission areas in the coast of Kenya” Acta Tropica 86 (2003):71-81. Gu, W., G.F. Killeen, C.M. Mbogo, J.L. Regens, J.I. Githure, and J.C. Beier, “An individual-based model of Plasmodium falciparum malaria transmission on the coast of Kenya,” Transactions of the Royal Society of Tropical Medicine & Hygiene 97 (2003): 1-8. Gunter, J.T., D.G. Hodges, C.M. Swalm, and J.L. Regens. “Predicting the urbanization of pine and mixed forest in Saint Tammany Parish, Louisiana,” Photogrammetric Engineering and Remote Sensing, 66 (2000):1469-1476. Hughes, T., M. Meo, T. Simonsen, S. Stadler, and J. Traurig, “Developing Oklahoma Wind-Resource Models and Products,” Oklahoma Geology Notes 62 (2002): 132-142. Keating, J., J.L. Regens, C.M. Mbogo, K. Macintyre, L. Kibe, L.J. Steinberg, A. Githeko, C.M. Swalm, J.I. Githure, and J.C. Beier, “A geographic sampling strategy for studying relationships between human activity and malaria vectors in urban Africa,” Am J Trop Med and Hygiene 68 (2003):357-365. Keating, J., K. Macintyre, C.M. Mbogo, A. Githeko, J.L. Regens, C. Swalm, B. Ndenga, L. Steinberg, L. Kibe, J.I. Githure, and J.C. Beier, “Relationships between house density and the abundance of larval habitats for mosquitoes in Kisumu and Malindi, Kenya,” Am J of Trop Med and Hygiene (In Press). Kondrashov, V.V., V. P. Reshetin, J. L. Regens, and J. T. Gunter, “Modeling Mobile Source Emissions During Traffic Jams in a Micro Urban Environment,” Env Sci & Pollution Res 9 (2002): 333-336. Mahmood, R., M. Meo, D. Legates, and M. Morrissey, “The CERES-Rice Model-Based Estimates of Potential Monsoon Season Rainfed Rice Productivity in Bangladesh,” The Professional Geographer 55 (2003):259-273. Martin, A., J.T. Gunter, and J.L. Regens, “Estimating Erosion in a Riverine Watershed,” Env Sci & Pollution Res 10 (2003): 245-250. Mbogo, C.M., J.M. Mwangangi, J. Nzovu, W. Gu, G. Yan, J.T. Gunter, C. Swalm, J. Keating, J.L. Regens, J.I. Shililu, J.I. Githure and J.C. Beier, “Spatial and Temporal Heterogeneity of Anopheles Mosquitoes and Plasmodium falciparum Transmission along the Kenya Coast,” Am J of Trop Med and Hygiene (in press). Meo, M. and B. Ziebro, “Natural Hazards Mitigation in Tulsa,” Australian Journal of Emergency Management 17 (2002): 42-49. Meo, M. and M. Sharfman, “Green Technology and Public Policy,” American Behavioral Scientist 44 (2000): 166-167. Meo, M., M. Sharfman, and R. Ellington, “Fortress7 Insecticide and the SmartBoxTM Application System,” Pollution Prevention Review 11 (2001): 53-74. Meo, M., W. Focht, L. Caneday, R. Lynch, F. Moreda, B. Pettus, E. Sankowski, Z. Trachtenberg, B. Vieux, and K. Willett, “Negotiating Science and Values with Stakeholders in the Illinois River Basin,” Journal of the American Water Resources Association 38 (2002): 541-554. Meo, M.., B. Ziebro, and A. Patton, “The Tulsa Turnaround,” Natural Hazards Review (in press). Regens, J.L. and D.G. Hodges, "GIS and Remote Sensing Applications to Evaluate Public Health Effects of Global Warming," World Resources Review 12 (2000): 458-464. Regens, J.L., D.G. Hodges, L. Kelley, and T.A. Sands, “Site Remediation Technologies,” The Military Engineer 91 (1999): 57-58. Regens, J.L., D.G. Hodges, P.L. Wilkey, E. Zimmerman, A.Q. Armstrong, L. Kelley, T.A. Hall, and E.A. Hughes, “Screening Technologies for Soil and Groundwater Remediation,” Soil & Groundwater Cleanup (1999): 24-27. Regens, J.L., D.G. Hodges, P.L. Wilkey, E. Zimmerman, A.Q. Armstrong, L. Kelley, T.A. Hall, and E.A. Hughes, “An Integrated Framework for Evaluating Subsurface Contamination Remediation Technologies,” Env Geosciences 6 (1999): 82-89. Regens, J.L., K.R. Obenshain, C. Travis, and C.G. Whipple, "Conceptual Site Models and Multimedia Modeling," Human & Eco Risk Assess 8 (2002): 391-403. Regens, J.L., K.R. Obenshain, C. Travis, and M. Clauberg, “Applying Multimedia Modeling to Karst Systems,” Env Geosciences 6 (1999): 115-122. Regens, J.L., K.R. Obenshain, J.T. Gunter, and V. Miller, “Modeling Radiological Risks to Human Health from Contaminated Soils,” Human & Eco Risk Assess 6(2000): 777-888. Regens, J.L., R.E. Zimmerman, P.L. Wilkey, D.G. Hodges, A.Q. Armstrong, and L. Kelley, “Evaluating Environmental Technology for Meeting Remediation End Points and Long-Term Stewardship Options,” Env Sci & Pollution Res 7 (2000): 49-56. Reshetin, V.P. and J. L. Regens, “Estimating Receptor Sensitivity to Spatial Proximity of Emissions Sources,” Env Sci & Pollution Res 9 (2002): 392-396. Reshetin, V.P. and J.L. Regens, “Receptor sensitivity functional and associated equations," Journal of Engineering Physics & Thermophysics 76 (2003):1-8. Reshetin, V.P. and J.L. Regens, “Simulation Modeling of Anthrax Spore Dispersion in a Bioterrorism Incident,” Risk Analysis (in press). Reshetin, V.P., E.T. Batalova, and J.L. Regens, “Functional of Receptor Sensitivity to Spatial Proximity of Emissions Sources and Conjugate Problem,” International Journal of Risk Assessment and Management (in press). Sharfman, M., M. Meo, and R. Ellington, “Regulation, Business, and Sustainable Development,” American Behavioral Scientist 44(2000): 278-303. Sharfman, M., R. Ellington, and M. Meo, “Conoco and the Vapor Recovery Project: Using Innovation to Preserve Autonomy,” Journal of Industrial Ecology 3 (1999):93-110. Sharfman, M., R. Ellington, and M. Meo, “The Introduction of Post-Consumer Recycled Material into Tyvek7,” Journal of Industrial Ecology 5 (2001): 127-146. Travis, C., K.R. Obenshain, J.L. Regens, and C.G. Whipple, "Limitations of Multimedia Models for Use in Environmental Decision Making," Env Monitoring & Assess 71 (2001): 51-60.
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University of Oklahoma
Sarkeys Energy Center
Projects focus on systematic identification and estimation of potential exposures to environmental hazards over multiple spatial-temporal scales for effective management of safety and health risks. 
Projects focus on modeling the dynamics of environmental systems for designing and implementing state-of-the-art environmental management strategies.
Projects focus on integrated evaluations of the applicability of potential solutions to site-specific settings to design and implement strategies for effective development and deployment of technologies.
Projects focus on comprehensive evaluation of critical systems to increase performance, reduce waste, and identify opportunities for long-term sustainable development on multiple spatial scales.
Projects focus on identification and assessment of the engineering, environmental, economic, and policy aspects for development and utilization of traditional and non-traditional energy systems.