Katrina Lewis

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MPP Candidate, Harris School of Public Policy, University of Chicago

Katrina Lewis is an M.P.P candidate at the University of Chicago's Harris School of Public Policy. Her main area of interest is energy economics and policy. Katrina holds a B.A. in Organizational Studies and French from the University of Michigan and a certificate of political studies from the Institut d'études politiques.

Karen Krieb

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Masters Student, DePaul University

 

 

 

Karen Krieb is a graduate student in the Computer Science MS program at DePaul University. She has worked as an environmental consultant with a focus on industrial water issues and currently works as a data scientist. She received a BA in Ecology and Evolutionary Biology from Princeton University with thesis work on soil nutrients and reforestation in Pedasí, Panama. 

Jiali Wang

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Postdoctoral appointee, Climate & Atmospheric Science Department, Argonne National Laboratory

 

 

 

Jiali received her Ph.D. in Atmospheric Science from the Institute of Atmospheric Physics at the Chinese Academy of Sciences in 2012.

Her capabilities include: downscaling of climate models to regional and local scales; big data analysis; regional modeling of atmospheric physics and extreme climate/weather events; evaluation of model performance by applying statistical technologies; assessment of urban climate impacts.

Ricardo B. Lourenço

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Graduate Student, University of Chicago

Ricardo Barros Lourenço is a CS Ph.D. Student at the University of Chicago. He holds an MSc. in Predictive Analytics at DePaul University, also awarded a scholarship of Brazil Scientific Mobility Program (“Ciência sem Fronteiras”) from CAPES Foundation / Brazilian Ministry of Education. He received a BA in Image and Sound from the Federal University of São Carlos. While a student of Geology at State University of Campinas (UNICAMP), has worked with Airborne Geophysics and Seismic Data Processing.

He is a Research Assistant at the Computation Institute (a joint-venture from University of Chicago and Argonne National Laboratory) working with the Center for Robust Decision Making on Climate and Energy Policy (RDCEP) and Globus Labs teams.

He is interested in problems comprehending large-scale geospatial data acquisition, integration, and processing, involving machine learning and computer vision methods implemented in High-Performance Computing facilities.

Research Interests:

  • Machine learning
  • Distributed remote sensing

Current Projects:

ATLAS

Delphine Deryng

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Postdoctoral Scholar, Computation Institute, University of Chicago

Adjunct Research Scientist, NASA Goddard Institute for Space Studies & Columbia University Center for Climate Systems Research

 

Areas of Expertise:

  • Agricultural systems and climate change
  • Impacts, adaptation and vulnerability
  • The water-energy-food nexus
  • Modeling uncertainty and robust decision making

Delphine Deryng's research deals with global environmental change issues with a particular interest in agricultural systems and implications for food security. She develops and uses process-based crop modeling tools to explore the interaction between climate, crops and land use decision. She conducts multiple research activities as part of the AgMIP Global Gridded Crop Model Intercomparison (GGCMI) initiative exploring the role of extreme weather events on global crop yield and better understanding the effects of rising atmospheric carbon dioxide concentrations on crop water productivity. In addition, she currently leads the first Regional Gridded Crop Modeling Activity (RGCMA) to assess the potential impacts of irrigated crop production on ground water resources in India under climate change using an ensemble of gridded models and regional climate and agricultural datasets.

Prior joining RDCEP, Delphine worked on southern Africa’s hydro-economy and water security as a Research Associate at the Grantham Research Institute on Climate Change and the Environment at the London School of Economics (2014-2015).

Delphine holds a PhD in Environmental Sciences from the University of East Anglia (2014) and a Masters in Geography from McGill University (2009). She joined the Computation Institute in November 2015.

Research Projects

AgGRID | InterSectoral Impacts Model Intercomparison and Improvement Project (ISI-MIP) | The Agricultural Model Intercomparison and Improvement Project (AgMIP) | The Global Gridded Crop Model Intercomparison

Selected Publications

  • Deryng D, Elliott J et al. (in review, submitted to Nature Climate Change) “Regional disparities in the beneficial effects of rising CO2 emissions on crop water productivity”
  • Conway D, Archer E, Deryng D et al. (2015) “Climate and Southern Africa’s water-energy-food nexus”, Nature Climate Change 5, 837–846 (2015) doi:10.1038/nclimate2735
  • Deryng D (2014) “Climate change impacts on crop productivity in global semi-arid areas and selected semi-arid economies”, working paper, Overseas Development Institute (ODI), London
  • Deryng D, Conway D, Ramankutty N et al. (2014) “Global crop yield response to extreme heat stress under multiple climate change futures”, Environmental Research Letters, 9, 034011, doi:10.1088/1748-9326/9/3/034011
  • Rosenzweig C, Elliott J, Deryng D et al. (2014) “Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison”, Proceedings of the National Academy of Sciences, 111(9), pp.3268–3273. doi:10.1073/pnas.1222463110
  • Elliott J, Deryng D et al. (2014) “Constraints and potentials of future irrigation water availability on agricultural production under climate change”, Proceedings of the National Academy of Sciences, 111(9), pp.3239–3244. doi:10.1073/pnas.1222474110
  • Deryng D, Sacks, WJ, Barford CC, and Ramankutty N (2011) “Simulating the effects of climate and land management practices on global crop yield”, Global Biogeochemical Cycles, 25(2), doi:10.1029/2009GB003765

 


 

Severin Thaler

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Graduate Student, Department of Computer Science, University of Chicago

 

 

 

Severin Thaler received a MSc in Mathematics from ETH Zurich with a focus on Numerical Analysis and is currently a PhD candidate at the Department of Computer Science at the University of Chicago. He is contributing to the implementation of a platform allowing storage, analysis, and visualization of large-scale climate data with the goal of raising awareness on climate change and ultimately to convince policy-makers.

Research Interests:

  • Spatio-Temporal Databases
  • Distributed Systems
  • Machine Learning
  • Climate Analysis

Current Projects: EDE

 

Shanshan Sun

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Postdoctoral Scholar, Department of the Geophysical Sciences, University of Chicago

Sun’s current research focuses on studying the transient climate behaviors and the physical mechanisms governing them using both state-of-the-art General Circulation Models (GCMs) and one-column models which are computationally efficient. She also maintains and helps build the library of transient climates from GCM outputs.

Sun received her PhD from University of Connecticut in 2012.

Research Interests:

  • Transient climate evolutions and its potential causes
  • Land-atmosphere interaction
  • Ocean-atmosphere interaction and its impacts on land-atmosphere interaction
  • Dynamic vegetation’s role in the climate system

Research Projects:

Soil Moisture | Climate Variability: statistics and observation based simulations | Shadowing | Climate variability: effect of model spatial resolution

Evan Anderson

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Associate Professor, Department of Economics, Northern Illinois University

Areas of Expertise:

  • Financial Economics
  • Macroeconomics
  • Computational Economics

Professor Anderson received his PhD from the University of Chicago in 1998. Prior to joining Northern Illinois University, he held a position at the University of North Carolina at Chapel Hill. His recent research has focused on risk sharing when agents have risk-sensitive preferences, and on the implications of heterogeneous beliefs for asset pricing.

Research Projects

Robustness in Economic Models with Climate Change

William Brock

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Vilas Research Professor, Emeritus of Economics, University of Wisconsin, Madison

Research Professor, University of Missouri, Columbia

Areas of Expertise:

  • Complex dynamics in economics
  • Mathematical economics

Brock is the Vilas Research Professor of Economics, Emeritus at the University of Wisconsin, Madison, where he has taught economics since 1975. Brock received his PhD in Mathematics from the University of California, Berkeley. He is well known for his contributions to the theory of optimal growth, the breadth of applications of the intertemporal model to economics, and other aspects of nonlinear dynamics.

Brock has been a Fellow of the Academy of Arts and Sciences since 1992, a member of the National Academy of Sciences since 1998,  and a Distinguished Fellow of the American Economics Association since 2004.

Research Projects

Robustness in Economic Models with Climate Change |  Heat Balance Climate Models

 

Recent Publications

 

William Brock, Lars Peter Hansen Wrestling with Uncertainty in Climate Economic Models, October 9, 2017, SSRN. (lecture on this paper here)

 

Brock, W. and A. Xepapadeas. 2017. Climate Change Policy Under Polar Amplification.  European Economic Review 94:263-282.

 

Cai, Y., W. Brock, and A. Xepapadeas. 2016. Climate Change Economics and Heat

Transport Across the Globe: Spatial-DSICE. In 2017 Allied Social Science Association

(ASSA) Annual Meeting, January 6-8, 2017, Chicago, Illinois, 251833. Agricultural and

Applied Economics Association

 

Anderson, E. W., W. A. Brock, and A. Sanstad. 2016. Robust Consumption and Energy

Decisions. Working paper, SSRN.

 

Evan Anderson et al. "Robust analytical and computational explorations of coupled economic-climate models with carbon-climate response." RDCEP Working Paper No. 14-05, January 2014.

 

W A Brock et al. “Energy balance climate models, damage reservoirs, and the time profile of climate change policy.” Oxford Handbook of the Macroecon. of Global Warming, Ox U Press 2014. Ch 3 p 1952

 

*Brock, William, Gustav Engstrom, and Anastasios Xepapadeas. "Spatial climate-economic models in the design of optimal climate policies across locations." European Economic Review 69 (2014): 78-103.

 

 

Carpenter, S., Brock, W., Folke, C., Van Ness, E., Scheffer, M., 2015,

 “Allowing variance may enlarge the safe operating space for exploited

ecosystems,” Proceedings of the National Academy of Sciences, USA, 112(46):14384-14389

 

William Brock and Steven Durlauf. 2015, On sturdy policy evaluation,.  Journal of Law and Economics, 44,S2.

 

 

*William A. Brock et al. "Energy balance climate models and general equilibrium optimal mitigation policies." Journal of Economic Dynamics and Control 37, no. 12 (2013): 2371-2396.

 

 

William A Brock et al. Optimal control in space and time and the management of environmental resources. Annu. Rev. Resour. Econ., 6(1):33–68, 2014.

 

William A Brock, Anastasios Xepapadeas, and Athanasios N Yannacopoulos. Spatial externalities and agglomeration in a competitive industry. Journal of Economic Dynamics and Control, 42:143–174, 2014.

 

William A Brock, Anastasios Xepapadeas, and Athanasios N Yannacopoulos. Optimal agglomerations in dynamic economics. Journal of Mathematical Economics, 53:1–15, 2014

 

William Brock, Anastasios Xepapadeas, et al. Modeling coupled climate, ecosystems, and economic systems.Technical report, Athens University of Economics and Business, 2015. Revised, 2017,

forthcoming in Handbook of Environmental Economics, Partha Dasgupta et al., eds., Elsevier: North Holland.

 

Brock, William A., Anastasios Xepapadeas, and A. N. Yannacopoulos. "Robust control and hot spots in spatiotemporal economic systems." Dynamic Games and Applications, (2014): 1-33.

 

W A Brock et al. “Robust control of a spatially distributed commercial fishery.” Dynamic Optimization in Environmental Economics, E. Moser et al, editors, Springer, 2014. Pgs 215–241.

 

William A. Brock et al. "Spatial externalities and agglomeration in a competitive industry." Journal of Economic Dynamics and Control 42 (2014): 143-174.

 

 

Stephen R Carpenter, William A Brock, Jonathan J Cole, and Michael L Pace. A new approach for rapid detection of nearby thresholds in ecosystem time series. Oikos, 123(3):290–297, 2014.

 

 

James J Elser, Timothy J Elser, Stephen R Carpenter, and William A Brock. Regime shift in fertilizer commodities indicates more turbulence ahead for food security. PloS one, 9(5):e93998, 2014

 

 

S. Kefi et al. Early warning signals of ecological transitions: methods for spatial patterns. PloS one, 2014.

 

RDCEP Publications
James J Elser, Timothy J Elser, Stephen R Carpenter, and William A Brock. Regime shift in fertilizer commodities indicates more turbulence ahead for food security. PloS one, 9(5):e93998, 2014
Sonia Kefi et al. "Early warning signals of ecological transitions: methods for spatial patterns." PloS one 9, no. 3 (2014): e92097.
S. Kefi et al. Early warning signals of ecological transitions: methods for spatial patterns. PloS one, 2014.
Evan Anderson et al. "Robust analytical and computational explorations of coupled economic-climate modelswith carbon-climate response." RDCEP Working Paper No. 14-05, January 2014.
William Brock et al. "Energy balance climate models and the spatial structure of optimal mitigation policies."Beijer Institute of Ecological Economics, Discussion Paper 231 (2012).
W A Brock et al. “Energy balance climate models, damage reservoirs, and the time profile of climate change policy.” Oxford Handbook of the Macroecon. of Global Warming, Ox U Press 2014. Ch 3 p 1952
Brock, William, Gustav Engstrom, and Anastasios Xepapadeas. "Spatial climate-economic models in the design of optimal climate policies across locations." European Economic Review 69 (2014): 78-103.
William Brock et al. Spatial climate-economic models in the design of optimal climate policies across locations. European Economic Review, 69:78–103, 2014
William Brock and Steven Durlauf. A sturdy policy evaluation. forthcoming in Journal of Law and Economics, 2015.
William A. Brock et al. "Energy balance climate models and the economics of climate change." The Beijer Institute of Ecological Economics, Royal Swedish Academy of Sciences (2011).
William A. Brock et al. "Energy balance climate models and general equilibrium optimal mitigation policies." Journal of Economic Dynamics and Control 37, no. 12 (2013): 2371-2396.
Brock, William A., Gustav Engstrom, and Anastasios Xepapadeas. "Energy balance models, damage reservoirs, and the time profile of climate change policy." Oxford University Press (2012).
Brock, William A., Gustav Engstrom, and Anastasios Xepapadeas. "Energy balance climate models and the spatial structure of optimal mitigation policies." European Economic Review (2013).
William A Brock et al. Optimal control in space and time and the management of environmental resources. Annu. Rev. Resour. Econ., 6(1):33–68, 2014.
Brock, William A., Anastasios Xepapadeas, and A. N. Yannacopoulos. "Optimal Control in Space and Time and the Management of Environmental Resources." Annu. Rev. Resour. Econ. 6, no. 1 (2014): 33-68.
William A Brock, Anastasios Xepapadeas, and Athanasios N Yannacopoulos. Spatial externalities and agglomeration in a competitive industry. Journal of Economic Dynamics and Control, 42:143–174, 2014.
William A Brock, Anastasios Xepapadeas, and Athanasios N Yannacopoulos. Optimal agglomerations in dynamic economics. Journal of Mathematical Economics, 53:1–15, 2014
William A Brock and Anastasios Xepapadeas. Modeling coupled climate, ecosystems, and economic systems. Ecosystems, and Economic Systems (March 5, 2015), 2015.
William A Brock, Anastasios Xepapadeas, and Athanasios N Yannacopoulos. Robust control and hot spots in spatiotemporal economic systems. Dynamic Games and Applications, 4(3):257–289, 2014.
William Brock, Anastasios Xepapadeas, et al. Modeling coupled climate, ecosystems, and economic systems. Technical report, Athens University of Economics and Business, 2015.
Brock, William A., Anastasios Xepapadeas, and A. N. Yannacopoulos. "Robust control and hot spots in spatiotemporal economic systems." Dynamic Games and Applications, (2014): 1-33.
W A Brock et al. “Robust control of a spatially distributed commercial fishery.” Dynamic Optimization in Environmental Economics, E. Moser et al, editors, Springer, 2014. 
Pgs 215–241.
William A. Brock et al. "Spatial externalities and agglomeration in a competitive industry." Journal of Economic Dynamics and Control 42 (2014): 143-174.
Stephen R Carpenter, et al. Allowing variance may enlarge the safe operating space for exploited ecosystems. Proceedings of the National Academy of Sciences, 112(46):14384–14389, 2015.
Stephen R Carpenter, William A Brock, Jonathan J Cole, and Michael L Pace. A new approach for rapid detection of nearby thresholds in ecosystem time series. Oikos, 123(3):290–297, 2014.
Carpenter, Stephen R., William A. Brock, Jonathan J. Cole, and Michael L. Pace. "A new approach for rapid detection of nearby thresholds in ecosystem time series." Oikos 123, no. 3 (2014): 290-297.

Won Chang

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Professor, Department of Statistics, University of Cincinnati

Won Chang is currently a professor at the University of Cincinnati. Before this new appointment, Won was a postdoctoral scholar in Department of Statistics at the University of Chicago. His research focuses on statistical methods for simulating important aspects of future climate such as storm patterns and sea level changes. The statistical challenges of this work involve performing conditional simulation and climate model calibration using high-dimensional and non-Gaussian space-time data. 

 

Research Interests:

  • Big data issues in climate research: 
  • Modeling non-Gaussian and high-dimensional space-time data
  • Climate model emulation and calibration
  • Conditional simulation of climate processes

Current Research Project at RDCEP:

Publications: 

Yongyang Cai

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Senior Research Scientist, Becker Friedman Institute, University of Chicago

Visiting the Hoover Institution, Stanford University

Areas of Expertise:

  • Dynamic programming and numerical methods
  • Algorithms and applications of mathematical programming in economics, finance and climate change

Cai's research focuses on numerical dynamic programming and its applications in economics, finance and climate change. He has developed several numerical dynamic programming algorithms and a software package for high-dimensional dynamic programming problems with both continuous and discrete states and controls. Examples include optimal growth problems and dynamic portfolio optimization problems. He is currently working on applications of numerical dynamic programming algorithms for solving integrated assessment models of climate and economics with uncertainty.

Cai completed his PhD in 2010 at the Institute for Computational & Mathematical Engineering at Stanford University. 

Research Projects

Dynamic stochastic integrated assessment modeling | FABLE |  | DSICE | Model uncertainty and energy technology policy

RDCEP Publications
Lontzek, Thomas S., Yongyang Cai, and Kenneth L. Judd. "Tipping Points in a Dynamic Stochastic IAM (January 18, 2012)." RDCEP Working Paper No. 12-03.
Thomas S Lontzek, Yongyang Cai, Kenneth L Judd, and Timothy M Lenton. Stochastic integrated assessment of climate tipping points indicates the need for strict climate policy. Nature Clim. Change, 2015
Lontzek, Thomas S., Yongyang Cai, and Kenneth L. Judd, and Timothy M. Lenton. "Stochastic integrated assessment of climate tipping points calls for strict climate policy." Nature (2015).
Daiju Narita et al. "Environmental tipping points significantly affect the cost− benefit assessment of climate policies." Proceedings of the National Academy of Sciences (2015).
Jevgenijs Steinbuks et al. "Optimal Path for Global Land Use under Climate Change Uncertainty." In 2013 Annual Meeting, August 4-6, 2013, Washington, DC, no. 151413. AAEA, 2013.
Yongyang Cai and Alan H Sanstad. Model uncertainty and energy technology policy: The example of induced technical change. Computers & Operations Research, 66:362–373, 2016
Cai, Yongyang, and Kenneth L. Judd. "Dynamic programming with Hermite approximation. Mathematical Methods of Operations Research," 81:245–267, 2015.
Cai, Yongyang, Kenneth L. Judd, and Thomas S. Lontzek. Continuous-time methods for integrated assessment models. No. w18365. National Bureau of Economic Research, 2012.
Yongyang Cai, Kenneth L Judd, and Thomas S Lontzek. The social cost of carbon with economic and climate risks. Technical report, arXiv preprint, 2015. arXiv:1504.06909.
Y. Cai, et al. The effect of uncertainty in crop yields on the optimal path of global land use. R&R in Journal of Environmental Economics and Management, 2016.
Y Cai et al. The effect of climate and technological uncertainty in crop yields on the optimal path of global land use. 7009, World Bank Policy Research Working Paper Series, 2014.
Yongyang Cai et al. "The Effect of Climate and Technological Uncertainty in Crop Yields on the Optimal Path of global land use." World Bank Policy Research Working Paper 7009 (2014).
Yongyang Cai et al. Environmental tipping points significantly affect the cost-benefit assessment of climate policies. Proceedings of the National Academy of Sciences, 112(15):4606–4611, 2015.
Cai, Yongyang, Kenneth L. Judd, and Thomas S. Lontzek. "Open science is necessary." Nature Climate Change 2, no. 5 (2012): 299-299.
Yongyang Cai and Kenneth L Judd. Dynamic programming with hermite approximation. Mathematical Methods of Operations Research, pages 1–23, 2015.
Y. Cai, K.L. Judd, and J. Steinbuks. A nonlinear certainty equivalent approximation method for dynamic stochastic problems. forthcoming in Quantitative Economics, 2016
Cai, Yongyang, and Kenneth L. Judd. "Advances in numerical dynamic programming and new applications." Handbook of Computational Economics 3. (2014): 479-516.
Cai, Yongyang, and Kenneth L. Judd. "Dynamic Programming with Hermite Interpolation" (June 19, 2012). RDCEP Working Paper No. 12-09.
Yongyang Cai et al. "DSICE: A Dynamic Stochastic Integrated Model of Climate and Economy" (January 18, 2012). RDCEP Working Paper No. 12-02. Available at SSRN: http://dx.doi.org/10.2139/ssrn.
Cai, Yongyang, Kenneth L. Judd, and Thomas S. Lontzek. "Continuous-Time Methods for Integrated Assessment Models" (June 19, 2012). RDCEP Working Paper No. 12-10.
Cai, Yongyang, Kenneth L. Judd, and Thomas S. Lontzek. "The social cost of stochastic and irreversible climate change." No. w18704. National Bureau of Economic Research, 2013.
Cai, Yongyang, and Alan Sanstad. "Model uncertainty and energy technology policy: The example of induced technical change." Working Paper 14-01, RDCEP, April 2014.
Cai, Yongyang, and Kenneth L. Judd. "Dynamic programming with shape-preserving rational spline Hermite interpolation." Economics Letters 117, no. 1 (2012): 161-164.
Cai, Yongyang, and Kenneth L. Judd. "Shape-preserving dynamic programming." Mathematical Methods of Operations Research 77.3 (2013): 407-421.
Cai, Yongyang, Kenneth L. Judd, Greg Thain, and Stephen J. Wright. "Solving dynamic programming problems on a computational grid." Computational Economics. 2014.

Hailiang Du

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Research Scientist, Computation Institute, University of Chicago

Areas of Expertise:

  • Analysis and prediction of nonlinear systems
  • Data Assimilation
  • Parameter estimation
  • Forecast interpretation and evaluation

Hailiang's research ranges from the advancement of the theory of nonlinear dynamical systems to the application of these insights in the context of large-scale numerical models including weather and climate. He is particularly interested in advancing the understanding of predictability in the context of those models, and better understanding the dynamics, analysis, and interpretation (for decision support) of climate models in general. His previous research work includes parameter estimation via examining the dynamical consistency of the model and via probabilistic skill score; advancing pseudo-orbit data assimilation approach for state estimation; evaluating probabilistic skill in real world ensemble forecasts, and forecast interpretation using sustainable odds. 

Hailiang received his PhD in statistics from the London School of Economics and Political Science (LSE) in 2009. He held post-doctoral positions within the Centre for Climate Change Economics and Policy and the Centre for the Analysis of Time Series at LSE before joining RDCEP at the University of Chicago in 2014.

Research Projects

Model fidelity | Shadowing 

Michael Glotter

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Researcher, RDCEP

AAAS Fellow, Office of US Senator Al Franken

Recent publications
Joshua Elliott et al. The parallel system for integrating impact models and sectors (pSIMS). Proceedings of XSEDE '13: Gateway to Discovery. 2013; (Article No. 21).
J. Elliott et al. The global gridded crop model intercomparison: data and modeling protocols for phase 1 (v1.0). Geoscientific Model Development, 8(2):261–277, 2015.
Joshua Elliott et al. "Predicting Agricultural Impacts of Large-Scale Drought: 2012 and the Case for Better Modeling" (2013). RDCEP Working Paper Series No. 13-01.
F Ewert et al. Uncertainties in scaling-up crop models for large-area climate change impact assessments. Handbook of Climate Change and Agroecosystems, 2015
Michael Glotter et al. "A simple carbon cycle representation for economic & policy analyses." Working Paper 13-04, Center for Robust Decision Making on Climate and Energy Policy, September 2013.
Michael J Glotter et al. A simple carbon cycle representation for economic and policy analyses. Climatic Change, 126(3- 4):319–335, 2014.
Michael Glotter et al. "Evaluating the utility of dynamical downscaling in agricultural impacts projections." Proceedings of the National Academy of Sciences 111, no. 24 (2014): 8776-8781.
Michael Glotter et al. Evaluating the utility of dynamical downscaling in agricultural impacts projections. Proceedings of the National Academy of Sciences, 111(24):8776–8781, 2014.
Michael J. Glotter, et al. Evaluating the sensitivity of agricultural model performance to different climate inputs. Journal of Applied Meteorology and Climatology, 55(3):579–594, 2016.
Elisabeth Moyer et al. "Climate impacts on economic growth as drivers of uncertainty in the social cost of carbon." University of Chicago Coase-Sandor Institute for Law & Economics Paper 652 (2013).
E J Moyer, M D Woolley, N J Matteson, M J Glotter, and D A Weisbach. Climate impacts on economic growth as drivers of uncertainty in the social cost of carbon. The Journal of Legal Studies, 2014
Elisabeth J. Moyer et al. "Climate Impacts on Economic Growth as Drivers of Uncertainty in the Social Cost of Carbon. " The Journal of Legal Studies 43, no. 2 (2014).
Joshua Elliott et al. "Constraints and potentials of future irrigation water availability on agricultural production under climate change." PNAS 111, no. 9 (2014): 3239-3244.
Joshua Elliott et al. The parallel system for integrating impact models and sectors (psims). Environmental Modelling & Software, 62:509–516, 2014.
Joshua Elliott et al. "A spatial modeling framework to evaluate domestic biofuel-induced potential land use changes and emissions." Environmental science & technology 48, no. 4 (2014): 2488-2496.

Alla Golub

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Research Economist in Climate Policy, Center for Global Trade Analysis (GTAP)

Purdue University

Areas of Expertise:

  • Economic modeling
  • Climate change economics

Golub is Research Economist with the Center for Global Trade Analysis (GTAP), Department of Agricultural Economics, Purdue University. 

She graduated from Purdue in 2006 with Ph.D. in Agricultural Economics.