Publications

Journal & Juried Conference Papers

Vaillancourt, P.Z., Coulter, J.E., Knepper, R. & Barker, B. (2020). Self-scaling clusters and reproducible containers to enable scientific computing. arXiv e-Print.
George, G., Bakir, F., Wolski, R. & Krintz, C. (2020). NanoLambda: Implementing Functions as a Service at all resource scales for the Internet of Things. Fifth ACM/IEEE Symposium on Edge Computing.
Vaillancourt, P., Wineholt, B., Barker, B., Deliyannis, P., Zheng, J., Suresh, A., Brazier, A., Knepper, R. & Wolski, R. (2020). Reproducible and portable workflows for scientific computing and HPC in the cloud. PEARC'20.
Letson, F., Shepherd, T.J., Barthelmie, R.J. & Pryor, S.C. (2020). WRF modeling of deep convection and hail for wind power applications. Journal of Applied Meteorology and Climatology.
Zhang, M., Krintz, C. & Wolski, R. (2020). Edge-adaptable serverless acceleration for Machine Learning IoT applications. Journal of Software: Practice and Experience.
Pryor, S.C., Shepherd, T.J., Volker, P.J.H., Hahmann, A.N. & Barthelmie, R.J. (2020). "Wind theft" from onshore wind turbine arrays: Sensitivity to wind farm parameterization and resolution. Journal of Applied Meteorology and Climatology.
Hendershott, T., Livdan, D. & Rosch, D. (2020). Asset pricing: A tale of night and day. Journal of Financial Economics.
Shepherd, T.J., Barthelmie, R.J. & Pryor, S.C. (2020). Sensitivity of wind turbine array downstream effects to the parameterization used in WRF. Journal of Applied Meteorology and Climatology.
Trindade, B.C., Gold, D.F., Reed, P.M., Zeff, H.B. & Characklis, G.W. (2020). Water pathways: An open source stochastic simulation system for integrated water supply portfolio management and infrastructure investment planning. Environmental Modelling & Software.
Letson, F., Shepherd, T.J., Barthelmie, R.J. & Pryor, S.C. (2020). Modelling hail and convective storms with WRF for wind energy applications. Journal of Physics.
Ankrah, N.Y., Wilkes, R.A., Zhang, F.Q., Zhu, D., Kaweesi, T., Aristilde, L. & Douglas, A.E. (2020). Syntrophic splitting of central carbon metabolism in host cells bearing functionally different symbiotic bacteria. ISME Journal.
Dimopoulos, S., Krintz, C. & Wolski, R. (2020). Fair scheduling for deadline-driven, resource-constrained, multi-analytics workloads. International Conference on Computing, Networking and Communications.
Dimopoulos, S., Krintz, C. & Wolski, R. (2019). Towards distributed, fair, deadline-driven resource allocation for cloudlets. Proceedings of the 4th Workshop on Middleware for Edge Clouds & Cloudlets.
Knepper, R., Mehringer, S., Brazier, A., Barker, B. & Reynolds, R. (2019). Red cloud and Aristotle: campus clouds and federations. HARC '19.
Golubovic, N., Krintz, C. & Wolski, R. (2019). A scalable system for executing and scoring K-means clustering techniques and its impact on applications in agriculture. International Journal of Big Data Intelligence.
Pryor, S.C., Shepherd, T. J., Barthelmie, R.J., Hahmann, A.N. & Volker, P. (2019). Wind farm wakes simulated using WRF. Journal of Physics.
Chung, K.H., Lee, A.J., Rosch, D. (2019). Tick size, liquidity for small and large orders, and price informativeness: Evidence from the Tick Size Pilot Program. Journal of Financial Economics.
Bakir, F., Wolski, R., Krintz, C. & Ramachandran, G. (2019). Devices-as-services: Rethinking scalable service architectures for the internet of things. Proceedings of the 2019 USENIX Conference.
Golubovic, N., Wolski, R., Krintz, C. & Mock, M. (2019). Improving the accuracy of outdoor temperature prediction by IoT devices. IEEE Conference on IoT.
Zhang, M., Krintz, C., Wolski, R. & Mock, M. (2019). Seneca: Fast and low cost hyperparameter search for machine learning models. IEEE Cloud 2019.
Carson, K., Thomason, J., Wolski, R., Krintz, C. & Mock, M. (2019). Mandrake: Implementing durability for edge clouds. IEEE International Conference on Edge Computing.
Lin, W.T., Bakir, F., Krintz, C. & Mock, M. (2019). Data repair for distributed, event-based IoT applications. Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems.
George, G., Wolski, R., Krintz, C. & Brevik, J. (2019) Analyzing AWS spot instance pricing. 2019 IEEE International Conference on Cloud Engineering (IC2E).
Letson, F., Barthelmie, R.J. & Pryor, S.C. (2019) RADAR-derived precipitation climatology for wind turbine blade leading edge erosion. Wind Energy Science.
Zaidi, S.M.A., Chandola, V., Allen, M.R. & Bhaduri, B.L (2018). WebGlobe - A cloud-based geospatial analysis framework for interacting with climate data. BigSpatial 2018 Proceedings of the 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data.
Zaidi, S.M.A., Chandola, V., Allen, M.R., Sanyal, J., Stewart, R.N., Bhaduri, B.L. & McManamay, R.A. (2018). Machine learning for energy-water nexus: challenges and opportunities. Big Earth Data Journal.
Ankrah, N.Y.D., Chouaia, B. & Douglas, A.E. (2018). The cost of metabolic interactions in symbioses between insects and bacteria with reduced genomes. mBio.
Krintz, C., Wolski, R., Golubovic, N. & Bakir, F. (2018). Estimating outdoor temperature from CPU temperature for IoT applications in agriculture. Proceedings of the 8th International Conference on the Internet of Things.
Sperhac, J., Plessinger, B.D., Palmer, J.T., Chakraborty, R., Dean, G., Innus, M., Rathsam, R., Simakov, N., White, J., Furlani, T., Gallo, S.M., DeLeon, R.L., Jones, M.D., Cornelius, C., Patra, A. (2018). Federated XDMoD to monitor affiliated computing resources. 2018 IEEE International Conference on Cluster Computing, doi:ieeecomputersociety.org/10.1109/CLUSTER.2018.00074
Lin, W.T., Krintz, C. & Wolski, R. (2018). Tracing function dependencies across clouds. IEEE 11th International Conference on Cloud Computing.
Jayathilaka, H., Krintz, C. & Wolski, R. (2018). Detecting function dependencies across clouds. IEEE Transactions on Cloud Computing, doi:10.1109/TCC.2018.2808289
Pryor, S.C., Shepherd, T.J. & Barthelmie, R.J. (2018). Inter-annual variability of wind climates and wind turbine annual energy production. Wind Energy Science. doi: 10.5194/wes-2018-48
Pryor, S.C., Barthelmie, R.J. & Shepherd, T.J. (2018). The influence of real-world wind turbine deployments on regional climate. Journal of Geophysical Research: Atmospheres 123(11).
Pryor, S.C., Barthelmie, R.J., Hahmann, A., Shepherd, T. & Volker, P. (2018): Downstream effects from contemporary wind turbine deployments. Journal of Physics: Conf. Series 1037.
Golubovic, N., Gill, A., Krintz, C. & Wolski, R. (2018). CENTAURUS: A cloud service for K-means clustering. 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology. doi:10.1109/DASC-PI-Com-DataCom-CyberSciTec.2017.18
Chung, K.H., Lee, A.J. & Rösch, D. (2018). Tick size, liquidity for small and large orders, and price informativeness: evidence from the tick size pilot program. The Review of Financial Studies (under review).
Sharma, A., Mohammed, S.Z.A. & Chandola, V. (2018). A cloud-based geospatial analysis framework for interacting with climate data. Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (under review).
Allen, M., Mohammed, S.Z.A., Chandola, V., Morton, A., Brelsford, C.M., McManamay, R.A., Binita, K.C., Sanyal, J., Stewart, R.N. & Bhaduri, B.L. (2018). A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework. Big Earth Data Journal
Mohammed, S.Z.A., Allen, M.R., Chandola, V. & Bhaduri, B.L. (2018). Machine learning for energy-water nexus: challenges and opportunities. Big Earth Data Journal
Wolski, R., Brevik, J., Chard, R. & Chard, K. (2017). Probabilistic guarantees of execution duration for Amazon spot instances. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis – SC17. doi:10.1145/3126908.3126953
Dimopoulos, S., Krintz, C. & Wolski, R. (2017). PYTHIA: Admission control for multi-framework, deadline-driven, big data workloads. Proceedings of 2017 IEEE 10th International Conference on Cloud Computing – CLOUD, 488-495. doi:10.1109/cloud.2017.69
Wolski, R. & Brevik. J. (2017). QPRED: Using quantile predictions to improve power usage for private clouds. Proceedings of 2017 IEEE 10th International Conference on Cloud Computing – CLOUD, 179-187. doi:10.1109/cloud.2017.31
Elias, A.R., Golubovic, N., Krintz, C. & Wolski, R. (2017). Where’s the Bear? – Automating wildlife image processing using IoT and edge cloud systems. Proceedings of the Second International Conference on Internet-of-Things Design and Implementation – IoTDI, 247-258. doi:10.1145/3054977.3054986
Jayathilaka, H., Krintz, C. & Wolski, R. (2017). Performance monitoring and root cause analysis for cloud-hosted web applications. Proceedings of the 26th International Conference on World Wide Web – WWW 17, 469-478. doi:10.1145/3038912.3052649
Ankrah, N.Y.D., Luan, J. & Douglas, A.E. (2017). Cooperative metabolism in a three-partner insect-bacterial symbiosis revealed by metabolic modeling. Journal of Bacteriology 199 (15), e00872-16. doi:10.1128/jb.00872-16
Brevik, J. & Wolski, R. (2016). Providing statistical reliability guarantees in the AWS spot tier. Proceedings of the 24th High Performance Computing Symposium. doi:10.22360/springsim.2016.hpc.045

Non-Periodical Publications

National Academies of Sciences, Engineering, and Medicine (2018). Opportunities from the Integration of Simulation Science and Data Science: Proceedings of a Workshop. Washington, DC. (T. Furlani: speaker/proceedings reviewer).
Redfern, P., Lifka, D., Brown, D., Ficklin, S., Koedinger, K., Persson, K., Schadler, L. & Song, S. (2017). Final Report: 1st NSF Data Infrastructure Building Blocks PI Workshop. National Science Foundation workshop report, Cornell University, Ithaca, NY.
XMS Team (2016). XDMoD requirements document – job reporting for cloud and other non-traditional HPC resources. University at Buffalo, Buffalo, NY.
XMS Team (2016). Federated XDMoD requirements document. University at Buffalo, Buffalo, NY.
Redfern, P. & Lifka, D. (2016). Cornell’s Red Cloud - A model for the future of research. HPE case study. Cornell University, Ithaca, NY.

Other Publications, Conference Papers & Presentations

Coulter, E. Fisher, J., Bird, S., Sudarshan, S., Vaillancourt, P. & Marru, S. (2020). Deep dive into constructing containers for scientific computing and gateways.. Tutorial at PEARC'20.
Krintz, C. (2020). SmartFarm: computing research for the next generation of precision agriculture. Invited presentation at the American Association for the Advancement of Science Annual Meeting, Seattle, WA.
Wolski, R., Lifka, D. & Furlani, T. (2020). Data Analysis and Management for Multi-Campus Cyberinfrastructure through Cloud Federation. Poster/presentation at the 2020 NSF CSSI Meeting, Seattle, WA.
Roesch, D. (2020): Financial Market Frictions and Learning from the Stock Price: Let's Pay Attention to the Plumbing. Presentation at Cornell Johnson School, Ithaca, NY.
Reynolds, R. (2019). Red Cloud and the Aristotle Cloud Federation. DellXL Fall meeting, Scottsdale, AZ.
Knepper, R. (2019). Red Cloud and Aristotle: Campus clouds and federation. Presentation at Humanware Advancing Research in the Cloud (HARC) Workshop, Chicago, IL.
Knepper, R., Reynolds, R., Coulter, E. & Bird, S. (2019). Campus research clouds: Gathering requirements for a campus cloud toolkit. Presentation at Practice and Experience in Advanced Research Computing (PEARC19), Chicago, IL.
Wolski, R., Krintz, C., Bakir, F., Lin, W. & George, G. (2019). Rethinking scalable services for the Internet of Things. Invited presentation at Big Data and Extreme-Scale Computing Workshop, San Diego, CA.
Shepherd, T.J., Barthelmie, R.J. & Pryor, S.C. (2019). Assessment of wind turbine impact on climate in GCM-driven WRF simulation. Invited presentation at North American Wind Energy Academy WindTech Conference.
Knepper, R. (2019). Sustainability research impacts. Poster at Cornell University Sustainability Leadership Summit, Ithaca, NY.
Wolski, R. (2019). Devices-as-services: Rethinking scalable service architectures for the Internet of Things. Presentation at the 2019 USENIX Annual Technical Conference, Renton, WA.
Hendershott, T., Livdan, D. & Roesch, D. (2019). Asset pricing: A tale of night and day. Presentations at American Finance Association 2019 Annual Meeting, Atlanta, GA; Jackson Hole Finance Conference, Jackson Hole, WY; and, Desmarais Global Finance Research Centre, Montreal. Canada.
Pryor. S.C., Shepherd, T.J., Bukovsky, M. & Barthelmie, R.J (2019). Wind energy scenarios for climate change mitigation. Presentation at The Scenarios Forum 2019, Denver, CO.
Baughman, M., Caton, S., Haas, C., Chard, R., Wolski, R., Foster, I.T. & Chard, K (2019). Deconstructing the 2017 changes to AWS spot market pricing. Presentation at ScienceCloud@HPDC, Phoenix, AZ.
Shepherd, T., Wineholt, B., Barthelmie, R.J. & Pryor, S.C. (2019). Quantifying weather and climate simulation reproducibility in the cloud. Presentation at 99th American Meteorological Society Annual Meeting: 5th Symposium on High Performance Computing for Weather, Water, and Climate, Phoenix, AZ.
Barthelmie, R.J., Pryor, S.C. & Shepherd, T.J. (2019). Wakes from wind turbine arrays. Presentation at National Renewable Energy Laboratory, Golden, CO.
Wolski, R., Krintz, C. & Lin, W.-t. (2018). CSPOT: A serverless platform of things. University of California, Santa Barbara Computer Science Technical Report, Santa Barbara, CA.
Mehringer, S. (2018). Aristotle Lessons Learned. Panelist at the Coalition for Academic Scientific Computation Fall 2018 Meeting, Alexandria, VA.
Zaidi, S.M.A., Chandola, V., Allen, M.R. & Bahduri, B.L. (2018). Anomaly detection in energy-water nexus. Poster at the American Geophysical Union Fall Meeting, Washington, DC and co-organizer of a panel on the Application of information and data science methods and technologies to climate research and energy-water knowledge discovery.
Krintz, C. SmartFarm: IoT systems that simplify and automate agriculture analytics. Keynote at 8th International Conference on Internet of Things (IoT 2018) Santa Barbara, CA.
Krintz, C. Adventures and opportunities in cyber-physical systems and research. Keynote at 2018 International Conference on Computer Aided Design, San Diego, CA.
Chatterjee, S. (2018). New results in radio astronomy: Fast radio bursts and transients. Presentation at the International Astronomical Union (IAU) General Assembly, Vienna.
Chatterjee, S. (2018). The dwarf galaxy host of a repeating fast radio burst. Presentation at the International Astronomical Union (IAU) General Assembly, Vienna.
Dooley, R., Edmonds, A., Handock, D.Y., Lowe, J.M., Skidmore, E., Adams, A.K., Kiser, R., Krenz, M., Welch, V. & Knepper, R. (2018). Security best practices for academic cloud service providers. Presentation at the 2018 NSF Cybersecurity Summit for Large Facilities and Cyberinfrastructure, Alexandria, VA.
Hendershott, T., Livdan, D. & Rösch, D. (2018). Asset pricing: a tale of night and day. Presentation at the Research in Behavioral Finance Conference, Amsterdam.
Pryor, S.C., Barthelmie, R.J., Hahmann, A., Shepherd, T. & Volker, P. (2018). Contemporary wind turbine deployments have a minor impact on regional climate. Presentation at the Science of Making Torque from Wind, Milan, Italy.
Shepherd, T.J., Volker, P., Barthelmie, R.J., Hahmann, A. & Pryor, S.C. (2018). Sensitivity of wind turbine array downstream effects to the parameterization used in WRF. Presentation at WRF/MPAS User’s Workshop, Boulder, CO.
Lifka, D., Furlani, T. & Wolski, R. (2018). CC*DNI DIBBs: Data Analysis & Management Building Blocks (DIBBs) for multi-campus cyberinfrastructure through cloud federation. Poster presented at 2nd NSF Data Infrastructure Building Blocks PI Workshop, Arlington, VA.
Lifka, D., Furlani, T. & Wolski, R. (2018). Challenges: DIBBS for multi-campus cyberinfrastructure through cloud federation. Paper presented at 2nd NSF Data Infrastructure Building Blocks PI Workshop, Arlington, VA.
Innus, M. & Bruno, A. (2018). Federated keystone single sign-on with FreeIPA and OpenID Connect. Presentation at OpenStack Summit, Vancouver, BC.
Wolski, R. (2018). Emerging trends in the economics of cloud computing. Presentation at NSF Workshop on Cloud Computing Economics, Palo Alto, CA.
Pryor, S.C., Barthelmie, R.J. & Shepherd, T. (2018). Do current and near-term future wind turbine deployments have a substantial impact on regional climate? Presentation at European Geosciences Union General Assembly 2018, Vienna, Austria.
Song, J., Barker, B., Ankrah, N. & Douglas, A. (2018). Genome-scale metabolic modeling of gut microbiota in the fly gut. NSF REU student poster at American Society for Engineering Education 2018 St. Lawrence Section Meeting, Ithaca, NY.
Pryor, S.C., Barthelmie, R.J. & Shepherd, T. (2018). Assessing the fidelity of the North American wind climate and impacts of wind farms using high resolution modeling. Presentation (recorded) at the 98th American Meteorological Society Annual Meeting (21st Conference on Planned and Inadvertent Weather Modification), Austin, TX.
Pryor, S.C., Barthelmie, R.J. & Shepherd, T. (2018). Improved characterization of the magnitude and causes of spatio-temporal variability in wind resources. Presentation at the 98th American Meteorological Society Annual Meeting (31st Conference on Climate Variability and Change), Austin, TX.
Morton, A., Piburn, J., Stewart, R. & Chandola, V. (2017). Development of a suite of analytical tools for energy and water infrastructure knowledge discovery. Presentation at the American Geophysical Union Fall Meeting, New Orleans, LA.
Sanyal, J., Chandola, V., Sorokine, A., Allen, M.R., Berres, A., Pang, H., Karthik, R., Nugent, P., McManamay, R. & Bhaduri, B.L. (2017). Towards a web-enabled geovisualization and analytics platform for the energy and water nexus. Presentation at the American Geophysical Union Fall Meeting, New Orleans, LA.
Leachman, S. Where’s the Bear? (2018, February). The Current, Santa Barbara, CA.
Pryor, S.C., Barthelmie, R.J., Biondi, T. & Shepherd, T. (2018). Improved characterization of the magnitude and causes of spatio-temporal variability in wind resources. Poster presentation at 98th American Meteorological Society Annual Meeting (31st Conference on Climate Variability and Change), Austin TX.
Morton, A., Piburn, J., Stewart, R. & Chandola, V. (2017). Leveraging advances in population modeling to support energy and water nexus knowledge discovery. Poster at the American Geophysical Union Fall Meeting, New Orleans, LA.
Roesch, D. (2017). Investigating the efficiency of financial stock markets with high-frequency data. Presentation at the 2nd Federal Reserve Bank Economic Research in High Performance Computing Environments Workshop, Kansas City, KS.
Knepper, R. (2017). Cloud day: Current use cases at academic institutions. Panelist at the Coalition for Academic Scientific Computing Fall 2017 Meeting, Westminster, CO.
Douglas, A.E. (2017). The Drosophila model for gut microbiome research. Presentation at the NIH Common Fund: The Human Microbiome: Emerging Themes at the Horizon of the 21st Century, 21, Bethesda, MD.
Pryor, S.C., Barthelmie, R.J. & Shepherd, T. (2017). High-fidelity simulations of the downstream impacts of high density wind turbine deployments. Poster presentation at 4th Workshop on Systems Engineering for Wind Energy, Roskilde, Denmark.
Pryor, S.C. (2017). High resolution WRF simulations for resource assessment and quantification of downstream impacts of high density wind turbine deployments. Presentation at DTU Wind Energy, Roskilde, Denmark.
Lee, S. (2017). Cornell Red Cloud: Campus-based hybrid cloud computing. Presentation at 2017 NSF Cybersecurity Summit for Large Facilities and Cyberinfrastructure, Arlington, VA.
Wolski, R. (2017). Keynote 2: Cloud computing status and future. Panelist at 10th IEEE International Conference on Cloud Computing, Honolulu, HI.
Douglas, A.E. (2017). Metabolic conversations in insect microbiomes. Keynote lecture at the 14th Symposium on Bacterial Genetics and Ecology, Aberdeen, Scotland.
Ankrah, N.Y.D. (2017). Nutritional roles of beneficial bacteria associated with insects revealed by metabolic modeling. Winning poster at the 2017 Copenhagen Bioscience Conference: Data-Driven Biotechnology – Bench, Bioreactor and Bedside, Copenhagen, Denmark.
Douglas, A.E. (2017). Metabolism and microbiomes: Metabolic models meet experimental data in insect-microbial symbiosis. Presentation at Metabolism and Metabolomics: Disease Models and Model Organisms – 36th Annual Summer Symposium in Molecular Biology at The Pennsylvania State University, State College, PA.
Lifka, D., Furlani, T. & Wolski, R. (2017). Challenges: DIBBs for multi-campus cyberinfrastructure through cloud federation. Paper presented at the 1st NSF Data Infrastructure Building Blocks PI Workshop, Arlington, VA.
Lifka, D., Furlani, T. & Wolski, R. (2017). CC*DNI DIBBs: Data Analysis and Management Building Blocks (DIBBs) for multi-campus cyberinfrastructure through cloud federation. Poster presented at 1st NSF Data Infrastructure Building Blocks PI Workshop, Arlington, VA.
Furlani, T. (2017). Building a federated cloud model. Panelist at the 1st NSF Data Infrastructure Building Blocks PI Workshop, Arlington, VA.
Tran, D., Khoo, E.R. & Chandola, V. (2016). WebGlobe: Big geospatial analytics on the cloud. Presentation at MITRE Corporation, McLean, VA.

Other Products

The SmartFarm Project (2021) Aristotle use case scientist Chandra Krintz describes the implementation of her IoT and cloud approach to agricultural analytics.
Devices-as-Services and the internet as a Platform of Things video (2019) is a keynote presentation by co-Pi Rich Wolski at the 2019 Arm Research Summit in Austin, TX.
CENTAURUS: K-Means Cluster as a Service video (2019) demonstrates the balancing of a scalable clustering analysis workload between two Aristotle clouds.
Aristotle co-PI Rich Wolski interview by Washington DC’s The Hill (2018) highlights the benefit of Smart Farm Technologies.
Aristotle WRF Container video (2018) demonstrates the pulling or caching of Docker images to get the WRF app running quickly.
Centaurus K-Means Clustering as a Service video (2018) demonstrates the balancing of a scalable clustering analysis workload between two Aristotle clouds.
Where’s the Bear video (2018) highlights how UCSB use case scientists Chandra Krintz and Rich Wolski are identifying wildlife with machine learning and an IoTDI publication details how this automated wildlife image processing uses IoT, edge cloud systems, and the Aristotle cloud.
Assessing the Fidelity of the North American Wind Climate and Impacts of Wind Farms Using High-Resolution Modeling video (2018) features Cornell use case scientist Tristan Shepherd describing to the American Meteorological Society how wind farms impact climate.
Federated Keystone Single Sign-On with FreeIPA and OpenID Connect video features UB Aristotle infrastructure team members Marin Innus and Andrew Bruno describing integrating federated keystone with FreeIPA as the backend identity provider using OpenID Connect as the federation protocol.
Wind Variability Simulation video (2017) shows Sara C. Pryor's use case team simulations used to quantify wind climate in the eastern U.S. in order to analyze the impact of large wind turbines on downstream climate.
Exploiting Animal-Microbe Symbiosis to Produce Pest-Resistant Crops video (2017) features Cornell use case scientist Angela Douglas describing at the World Economic Forum how understanding the gut microbiome may lead to the development of microbial therapies for everything from making honey bees healthier to restoring coral reefs.
Host-Microbe Interactions Affect Metabolism and Nutrition video (2017) interview by Kiel University Professor Thomas Bosch of Aristotle use case scientist Angela Douglas.
WebGlobe Capabilities video (2017) demonstrates webGlobe, a new tool developed by University at Buffalo use case scientist Varun Chandola. Powered by Aristotle, webGlobe provides access to and visualization of remotely available NetCDF geo data.