Publications, Preprints & Briefings


February 2022

[61] Mehrab Z, Wilson M, Chang S, Harrison G, Lewis B, Telionis A, Crow J, Kim D, Spillmann S, Peters K, Leskovec J, Marathe M. Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. Proceedings of the Thirty-Fourth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22).

[60] Qiu Z, Chen C, Marathe M, Ravi S, Rosenkrantz D, Stearns R, Vullikanti A. Finding Non Trivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics. Proceedings of the Thirty-Sixth Annual Conference on Artificial Intelligence (AAAI-22).

[59] Wang L, Adiga A, Chen J, Sadilek A, Venkatramanan S, Marathe M. CausalGNN: Causal-based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting. Proceedings of the Thirty-Sixth Annual Conference on Artificial Intelligence (AAAI-22).

VDH Briefings: // February 2

VDH Reports: // February 4


January 2022

[58] Espinoza B, Swarup S, Barrett C, Marathe M. Heterogeneous Adaptive Behavioral Responses May Increase Epidemic Burden. Preprint. Link

[57] Rosenkrantz D, Vullikanti A, Ravi SS, Stearns R, Levin S, Poor H, Marathe M. Fundamental limitations on efficiently forecasting certain epidemic measures in network models. Proceedings of the National Academy of Sciences. 2022 Jan 25;119(4). Link {:target=”_blank”}

VDH Briefings: January 26 // January 19 // January 12 // January 5

VDH Reports: January 28 // January 21 // January 14 // January 7


December 2021

[56] Bhattacharya P, Machi D, Chen J, Hoops S, Lewis B, Mortveit H, Venkatramanan S, Wilson ML, Marathe A, Porebski P, Klahn B, Outten J, Vullikanti A, Xie D, Adiga A, Brown S, Barrett C, Marathe M. AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. IEEE BigData 2021. Link

[55] Li G, Haddadan A, Li A, Marathe M, Srinivasan A, Vullikanti A, Zhao Z. A Markov Decision Process Framework for Efficient and Implementable Contact Tracing and Isolation. arXiv:2112.15547. 2021 Dec 31. Link

[54] Mooij JD, Dell’Anna D, Bhattacharya P, Dastani M, Logan B, Swarup S. Using Agent-Based Simulation to Investigate Behavioural Interventions in a Pandemic using Mobility Data. AMPM 2021: 1st Workshop on Agent-based Modelling and Policy-Making (AMPM), in conjunction with JURIX 2021. 2021 December.

[53] Ritchie J, Whiting M, Chaturapruek S, Zamfirescu-Pereira JD, Marathe M, Marathe A, Eubank S, Bernstein MS. Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States: Technical Report. arXiv:2112.08279. 2021 Dec 15. Link

VDH Briefings: December 22 // December 15 // December 8 // December 1

VDH Reports: December 23 // December 17 // December 10 // December 3


November 2021

[52] Bhattacharya P, Chen J, Hoops S, Machi D, Lewis B, Venkatramanan S, Wilson M, Klahn B, Adiga A, Hurt B, Outten J, Adiga A, Warren A, Baek H, Porebski P, Marathe A, Xie D, Swarup S, Vullikanti A, Mortveit H, Eubank S, Barrett C, Marathe M (2021) Data-Driven Scalable Pipeline using National Agent-Based Models for Real-time Pandemic Response and Decision Support. Proceedings of the International Conference for High-Performance Computing, Networking, Storage, and Analysis (SC21). Finalist Gordon Bell Special Prize for HPC-Based COVID-19 Research.

[51] Mubayi A, Ghosh A, Marathe M. Leveraging Diversity and Building Capacity for Sustained Collaboration. SIAM News. 2021 Nov 1. Link

[50] Pilehvari A, Ton J, Mohan M, Marathe A, Vullikanti A. Drivers and Predictors of COVID-19 Vaccine Hesitancy in Virginia. Computational Social Science Annual Conference. 2021 Nov 4-7.

VDH Briefings: November 17 // November 3

VDH Reports: November 19 // November 12 // November 5


October 2021

[49] Chen J, Vullikanti A, Santos J, Venkatramanan S, Hoops S, Mortveit H, Lewis B, You W, Eubank S, Marathe M, Barrett C, Marathe A. Epidemiological and Economic Impact of COVID-19 in the US. Scientific Reports. 2021 Oct 14;11(1):1-2. Link

[48] Espinoza B, Marathe M, Swarup S, Thakur M. Asymptomatic individuals can increase the final epidemic size under adaptive human behavior. Scientific Reports. 2021 Oct 5;11(1):1-2. Link

[47] Pollett S, Johansson MA, Reich NG, Brett-Major D, Del Valle SY, Venkatramanan S, Lowe R, Porco T, Berry IM, Deshpande A, Kraemer MU, et al. Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines. PLoS medicine. 2021 Oct 19;18(10):e1003793. Link

VDH Briefings: October 27 // October 20 // October 13 // October 6

VDH Reports: October 29 // October 22 // October 15 // October 8 // October 2


September 2021

[46] Pilehvari A, You W, Chen J, Krulick J, Venkatramanan S, Marathe A. Differential Impact of Social Distancing on COVID-19 Spread in the US: By Rurality and Social Vulnerability. ResearchSquare. 2021 Sep 14. Link

[45] Sadilek A, Liu L, Nguyen D, Kamruzzaman M, Serghiou S, Rader B, Ingerman A, Mellem S, Kairouz P, Nsoesie EO, MacFarlane J, Vullikanti A, Marathe M, Eastham P, Brownstein J, Aguera y Arcas B, Howell M, Hernandez J. Privacy-first health research with federated learning. NPJ digital medicine. 2021 Sep 7;4(1):1-8. Link

VDH Briefings: September 29 // September 22 // September 15 // September 8 // September 1

VDH Reports: September 24 // September 17 // September 10 // September 2


August 2021

[44] Adiga A, Wang L, Hurt B, Peddireddy AS, Porebski P, Venkatramanan S, Lewis B, Marathe M. All models are useful: Bayesian ensembling for robust high resolution COVID-19 forecasting. Proceedings of the ACM Annual conference on Knowledge Discovery and Data Mining (KDD2021).

[43] Chang S, Wilson M, Lewis B, Mehrab Z, Dudakiya K, Pierson E, Koh P, Gerardin J, Redbird B, Grusky D, Marathe M, Leskovec J (2021) Supporting COVID-19 policy response with large-scale mobility-based modeling. Proceedings of the ACM Annual conference on Knowledge Discovery and Data Mining (KDD2021). Best paper award.

[42] Madden G, Bielskas M, Kamruzzaman M, Bhattacharya P, Lewis B, Klein E, Sifri C, Vullikanti A. 173. Deciphering COVID-19-Associated Effects on Hospital MRSA Transmission and Social Networks. Open Forum Infectious Diseases. 2021 Nov, 8:1(S104-S106). US: Oxford University Press. Link

[41] Truelove S, Smith CP, Qin M, Mullany LC, Borchering RK, Lessler J, Shea K, Howerton E, Contamin L, Levander J, Salerno J, et al. Projected resurgence of COVID-19 in the United States in July-December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination. medRxiv. 2021 Aug 31. Link

VDH Briefings: August 25 // August 18 // August 11 // August 4

VDH Reports: August 27 // August 20 // August 13 // August 6


July 2021

[40] Giabbanelli PJ, Badham J, Castellani B, Kavak H, Mago V, Negahban A, Swarup S. Opportunities and challenges in developing covid-19 simulation models: Lessons from six funded projects. In2021 Annual Modeling and Simulation Conference (ANNSIM) 2021 Jul 19:1-12. Link

[39] Hurt B, Adiga A, Marathe M, Barrett C (2021) Informing University COVID-19 Decision Making Using SEIR Model Forecasting. medRxiv. 2021 Jul 6. Link

[38] Tariq A, Banda JM, Skums P, Dahal S, Castillo-Garsow C, Espinoza B, et al. Transmission dynamics and forecasts of the COVID-19 pandemic in Mexico, March-December 2020. PLoS ONE. 2021;16(7):e0254826. Link

VDH Briefings: July 28 // July 21

VDH Reports: July 30 // July 23 // July 2


June 2021

[37] Mehrab Z, Adiga A, Marathe MV, Venkatramanan S, Swarup S. Evaluating the utility of high-resolution proximity metrics in predicting the spread of COVID-19. medRxiv. 2021 June 10. Link

VDH Briefings: June 30 // June 25 // June 16 // June 9 // June 2

VDH Reports: June 18 // June 11 // June 4


May 2021

[36] Adiga A, Athreya S, Lewis B, Marathe MV, Rathod N, Sundaresan R, Swarup S, Venkatramanan S, Yasodharan S. Strategies to Mitigate COVID-19 Resurgence Assuming Immunity Waning: A Study for Karnataka, India. medRxiv. 2021 May 29. Link

[35] Bhattacharya P, de Mooij J, Dell’Anna D, Dastani M, Logan B, Swarup S. PanSim+ Sim-2APL: a framework for large-scale distributed simulation with complex agents. International Workshop on Engineering Multi-Agent Systems 2021 May 3-4. Link

[34] Borchering R, Viboud C, Howerton E, Smith C, Truelove S, Runge M, Reich N, Contamin L, Levander J, Salerno J, van Panhuis W, Kinsey M, Tallaksen K, Obrecht R, Asher L, Costello C, Kelbaugh M, Wilson S, Shin L, Gallagher M, Mullany L, Rainwater-Lovett K, Lemaitre J, Dent J, Grantz K, Kaminsky J, Lauer S, Lee E, Meredith H, Perez-Saez J, Keegan L, Karlen D, Chinazzi M, Davis J, Mu K, Xiong X, Pastore Y Piontti A, Vespignani A, Srivastava A, Porebski P, Venkatramanan S, Adiga A, Lewis B, Klahn B, Outten J, Schlitt J, Corbett P, Telionis P, Wang L, Peddireddy A, Hurt B, Chen J, Vullikanti A, Marathe M, Healy J, Slayton R, Biggerstaff M, Johansson M, Shea K, Lessler J. Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios — United States, April–September 2021. 2021 May 14. Link

[33] Kamruzzaman M, Bielskas M, Krishnamoorthy B, Marathe A, Vullikanti A, Kalyanaraman A. Navigating the COVID-19 Data Landscape: Automated Hypothesis Generation using Topological Data Analysis. ResearchSquare. 2021 May 10. Link

[32] Mooij JD, Dell’Anna D, Bhattacharya P, Dastani M, Logan B, Swarup S. Quantifying the effects of norms on COVID-19 cases using an agent-based simulation. International Workshop on Multi-Agent Systems and Agent-Based Simulation 2021 May 3:99-112. Springer, Cham. Link

[31] Talekar A, Shriram S, Vaidhiyan N, Aggarwal G, Chen J, Venkatramanan S, Wang L, Adiga A, Sadilek A, Tendulkar A, Marathe M, Sundaresan R, Tambe M. Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems 2021 May 3 (pp. 1680-1682). Link

VDH Briefings: May 26 // May 19 // May 12 // May 5

VDH Reports: May 28 // May 21 // May 14 // May 7


April 2021

[30] Bradley E, Marathe M, Moses M, Gropp WD, Lopresti D. Pandemic Informatics: Preparation, Robustness, and Resilience; and Vaccine Distribution, Logistics, and Prioritization. arXiv. 2021 Apr 14. Link

[29] Espinoza B, Marathe M, Swarup S, Thakur M. Adaptive human behavior in epidemics: the impact of risk misperception on the spread of epidemics. Research Square preprint. 2021 Apr. Link

VDH Briefings: April 28 // April 21 // April 14 // April 7

VDH Reports: April 30 // April 23 // April 16 // April 9 // April 2


March 2021

[28] Adiga A, Wang L, Hurt B, Peddireddy AS, Porebski P, Venkatramanan S, Lewis B, Marathe M. All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting. medRxiv. 2021 Mar 13. Link

VDH Briefings: March 31 // March 24 // March 17 // March 10 // March 3

VDH Reports: March 26 // March 19 // March 12 // March 5


February 2021

[27] Chen J, Hoops S, Marathe A, Mortveit H, Lewis B, Venkatramanan S, Haddadan A, Bhattacharya P, Adiga A, Vullikanti A, Wilson ML, Ehrlich G, Fenster M, Eubank S, Barrett CL, Marathe M. Prioritizing allocation of COVID-19 vaccines based on social contacts increases vaccination effectiveness. medRxiv. 2021 Feb 16. Link

[26] Haque AA, Thakur M, Bielskas M, Marathe A, Vullikanti A. Persistence of anti-vaccine sentiment in social networks through strategic interactions. Proceedings of the AAAI Conference on Artificial Intelligence 2021 Feb. Link

[25] Machi D, Bhattacharya P, Hoops S, Chen J, Mortveit H, Venkatramanan S, Lewis B, Wilson M, Fadikar A, Maiden T, Barrett CL, Marathe M. Scalable epidemiological workflows to support COVID-19 planning and response. medRxiv. 2021 Feb 26. Link

VDH Briefings: February 24 // February 17 // February 10 // February 3

VDH Reports: February 26 // February 19 // February 12 // February 5


January 2021

[24] Perrings C, Espinoza B. Mobility Restrictions and the Control of COVID-19. Ecology, Economy and Society-the INSEE Journal. 2021 Jan 29;4(2354-2021-243):31-43. Link

VDH Briefings: January 27 // January 20 // January 13 // January 6

VDH Reports: January 29 // January 22 // January 15 // January 8


December 2020

[23] Carscadden HL, Kuhlman CJ, Marathe MV, Ravi SS, Rosenkrantz DJ. Blocking the Propagation of Two Simultaneous Contagions over Networks. Proceedings of the International Conference on Complex Networks and Their Applications 2020 Dec 1 (pp. 455-468). Springer, Cham. Link

[22] Hernandez JB, Sadilek A, Liu L, Nguyen D, Kamruzzaman M, Rader B, Ingerman A, Mellem S, Kairouz P, Nsoesie EO, MacFarlane J, Vullikanti A, Marathe M, Eastham P, Brownstein J, Howell M. Privacy-first health research with federated learning. medRxiv. 2020 Dec 24. Link

[21] Hoops S, Chen J. Adiga A, Lewis B, Mortveit H, Baek H, Wilson M, Xie D, Swarup S, Venkatramanan S, Barrett C, Crow J, Diskin E, Levin S, Tazelaar H, Rossheim B, Ghaemmaghami C, Price C, Marathe M (2021) High Performance Agent-Based Modeling to Study Realistic Contact Tracing Protocols. Proceedings of the 2021 Winter Simulation Conference (WSC). Link

[20] Peddireddy AS, Xie D, Patil P, Wilson ML, Machi D, Venkatramanan S, Klahn B, Porebski P, Bhattacharya P, Dumbre S, Raymond E. From 5vs to 6cs: Operationalizing epidemic data management with COVID-19 surveillance. Proceedings of the 2020 IEEE International Conference on Big Data 2020 Dec 10 (pp. 1380-1387). Link

[19] Wang L, Adiga A, Venkatramanan S, Chen J, Lewis B, Marathe M. Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. Proceedings of the 2020 IEEE International Conference on Big Data (Big Data) 2020 Dec 10 (pp. 3846-3855). Link

[18] Wang L, Ben X, Adiga A, Sadilek A, Tendulkar A, Venkatramanan S, Vullikanti A, Aggarwal G, Talekar A, Chen J, Lewis BL, Swarup S, Kapoor A, Tambe M, Marathe M. Using Mobility Data to Understand and Forecast COVID19 Dynamics. medRxiv. 2020 Dec 15. Link

VDH Briefings: December 22 // December 16 // December 9 // December 2

VDH Reports: December 25 // December 18 // December 11 // December 3


November 2020

[17] Adiga A, Chen J, Marathe M, Mortveit H, Venkatramanan S, Vullikanti A. Data-driven modeling for different stages of pandemic response. Journal of the Indian Institute of Science. 2020 Nov 16:1-5. Link

[16] Mehrab Z, goud Ranga A, Sarkar D, Venkatramanan S, Baek YC, Swarup S, Marathe M. High resolution proximity statistics as early warning for US universities reopening during COVID-19. medRxiv. 2020 Nov 23. Link

VDH Briefings: November 18 // November 11 // November 4

VDH Reports: November 20 // November 13 // November 6


October 2020

[15] Adiga A, Dubhashi D, Lewis B, Marathe M, Venkatramanan S, Vullikanti A. Mathematical models for COVID-19 pandemic: a comparative analysis. Journal of the Indian Institute of Science. 2020 Oct 30:1-5. Link

[14] Cadena J, Marathe A, Vullikanti A. Critical spatial clusters for vaccine preventable diseases. International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation 2020 Oct 18:213-223. Springer, Cham. Link

[13]Chen J, Vullikanti A, Hoops S, Mortveit H, Lewis B, Venkatramanan S, You W, Eubank S, Marathe M, Barrett C, Marathe A. Medical costs of keeping the US economy open during COVID-19. Scientific Reports. 2020 Oct 28;10(1):1-0. Link

[12] Wu N, Ben X, Green B, Rough K, Venkatramanan S, Marathe M, Eastham P, Sadilek A, O’Banion S. Predicting Onset of COVID-19 with Mobility-Augmented SEIR Model. medRxiv. 2020 Oct 5. Link

VDH Briefings: October 28 // October 21 // October 14 // October 7

VDH Reports: October 30 // October 23 // October 16 // October 9 // October 2


September 2020

[11] Adiga A, Dubhashi D, Lewis B, Marathe M, Venkatramanan S, Vullikanti A. Models for COVID-19 Pandemic: A Comparative Analysis. arXiv:2009.10014. 2020 Sep 21. Link

VDH Briefings: September 30 // September 23 // September 16 // September 9 // September 2

VDH Reports: September 25 // September 18 // September 11 // September 4


August 2020

[10] Adiga A, Wang L, Sadilek A, Tendulkar A, Venkatramanan S, Vullikanti A, Aggarwal G, Talekar A, Ben X, Chen J, Lewis B, Swarup S, Tambe M, Marathe M. Interplay of global multi-scale human mobility, social distancing, government interventions, and COVID-19 dynamics. medRxiv. 2020 Aug 24. Link

VDH Briefings: August 26 // August 19 // August 12 // August 5

VDH Reports: August 28 // August 21 // August 14 // August 7


July 2020

VDH Briefings: July 29 // July 22 // July 15 // July 8 // July 1

VDH Reports: July 31 // July 24 // July 17 // July 10 // July 3


June 2020

[9] Chen J, Levin S, Eubank S, Mortveit H, Venkatramanan S, Vullikanti A, Marathe M. Networked epidemiology for COVID-19. SIAM News. 2020 Jun 1;53(5). Link

[8] Marathe M. High Performance Simulations to Support Real-time COVID19 Response. Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation 2020 Jun 15 (pp. 157-157). Link

VDH Briefings: June 24 // June 17 // June 10 // June 3

VDH Reports: June 26 // June 19 // June 11 // June 5


May 2020

[7] Cadena J, Marathe A, Vullikanti A. Finding spatial clusters susceptible to epidemic outbreaks due to undervaccination. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems: AAMAS. International Joint Conference on Autonomous Agents and Multiagent Systems 2020 May:1786. Link

[6] Sambaturu P, Adhikari B, Prakash BA, Venkatramanan S, Vullikanti A. Designing effective and practical interventions to contain epidemics. InProceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems 2020 May 5 (pp. 1187-1195). Link

[5] Swarup S, Mortveit HS. Live simulations. Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems 2020 May 5 (pp. 1721-1725). Link

VDH Briefings: May 27

VDH Reports: May 29 // May 22 // May 19


April 2020

[4] Eubank S, Eckstrand I, Lewis B, Venkatramanan S, Marathe M, Barrett CL. Commentary on Ferguson, et al.,“Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand”. Bulletin of Mathematical Biology. 2020 Apr;82(4):1-7. Link

[3] Wang L, Chen J, Marathe M. TDEFSI: theory-guided deep learning-based epidemic forecasting with synthetic information. ACM Transactions on Spatial Algorithms and Systems (TSAS). 2020 Apr 29;6(3):1-39. Link


March 2020

[2] Adiga A, Venkatramanan S, Schlitt J, Peddireddy A, Telionis A, Dickerman A, Wilson A, Bura A, Warren A, Vullikanti A, Klahn BD, Mao C, Xie D, Machi D, Raymond E, Meng F, Barrow G, Mortveit H, Chen J, Walke J, Goldstein J, Wilson ML, Orr M, Porebski P, Telionis P, Beckman R, Hoops S, Eubank S, Baek Y, Lewis B, Marathe M, Barrett C. Evaluating the impact of international airline suspensions on the early global spread of COVID-19. medRxiv. 2020 Mar 2. Link


February 2020

[1] Adiga A, Venkatramanan S, Peddireddy A, Telionis A, Dickerman A, Wilson A, Bura A, Warren A, Vullikanti A, Klahn BD, Mao C, Xie D, Machi D, Raymond E, Meng F, Barrow G, Mortveit H, Chen J, Walke J, Goldstein J, Wilson ML, Orr M, Porebski P, Telionis P, Beckman R, Hoops S, Eubank S, Baek Y, Lewis B, Marathe M, Barrett C. Evaluating the impact of international airline suspensions on COVID-19 direct importation risk. medRxiv. 2020 Feb 23. Link


Presentations

Lewis, B. COVID-19 Consortium Colloquium Speaker Series. November 3. Link November 2021.

Lewis B. Operationalizing Forecasts and Projections for Real-time Pandemic Support. A Metaculus Open Panel Discussion: How Forecasts Inform COVID-19 Policy. October 5. Link October 2021.

Venkatramanan S. Integrating Community Forecasts and Computational Models. A Metaculus Open Panel Discussion: How Forecasts Inform COVID-19 Policy. October 5. Link October 2021.

Marathe M. Computational Epidemiology: How has response to pandemics changed in the Information Age. Granville Seminar Series, Pacific Northwest National Laboratory, virtual. July 2021.

Marathe M. Towards Scalable and Practical Real-Time Computational Epidemiology. SIAM Conference on Applied and Computational Discrete Algorithms (SIAM ACDA21), virtual. Invited Plenary speaker. July 2021.

Marathe M. Real-time contagion science in the 21st Century: The role of data and computing. CONTAGION at Science Gallery Bengaluru, virtual. Link June 2021.

Swarup S. Data Assimilation for Pandemic Modeling. Workshop on Towards real-time numerical simulations of human-environment systems: data assimilation & agent-based modelling, Alan Turing Institute, virtual. May 2021.

Marathe M. Role of scalable data science and AI in COVID-19 pandemic response. SIAM International Conference on Data Mining (SDM21), virtual. Keynote address. April 2021.

Marathe M. Vaccine prioritization: The role of AI and computing in pandemic planning and response. Chalmers AI Talks, virtual. Link March 2021.

Marathe M. Towards scalable real-time computational epidemiology to support COVID-19 response. The International Solid-State Circuits Conference (ISSCC), virtual. Link February 2021.

Marathe M. Real-Time Pandemic Planning, Prediction and Response. NSF Workshop: Predicting Emergence of Virulent Entities by Novel Technologies (PREVENT), virtual. Keynote address. Link February 2021.

Marathe M. High Performance AI for Pandemic Prediction and Response. 34th Conference Neural Information Processing Systems (NeurIPS), virtual. MLPH: Machine Learning in Public Health, Keynote address. Link December 2020.

Marathe M. Urgent High Performance Computing for Real-Time Pandemic Response and Decision Making. First International Workshop on HPC for Urgent Decision Making (UrgentHPC), SC20: The International Conference for High Performance Computing, Networking, Storage and Analysis, virtual. Keynote address. November 2020.

Marathe M. Real-Time Pandemic Preparedness and Response: State-of-the-Art Tools and Opportunities. National Summit on the Science and Technology of Epidemiological Modeling and Prediction, virtual. Keynote address. November 2020.

Swarup S. Mobility and Behavior Modeling for COVID-19. 3rd ACM SIGSPATIAL Workshop on Geospatial Simulation. Keynote address. November 2020.

Marathe M. Predicting and Analyzing Pandemics. Technology, Culture and Society in the Age of COVID-19 Continuing Studies Course, Rice University. October 2020.

Marathe M. Real-Time Computational Science for COVID-19 Pandemic Planning and Response. ACM BCB 2020 Conference, virtual. Keynote address. September 2020.

Marathe M. High Performance Simulations to Support Real-time COVID19 Response. ACM SIGSIM PADS Conference on Principles of Advanced Discrete Simulation, virtual. Keynote address. June 2020.

Marathe M. Responding to the COVID-19 Pandemic: Role of Computing and Data Science. IIT Madras Leadership Lecture Series, virtual. May 2020.

Marathe M. Tackling the COVID-19 Crisis. UVA Research, virtual panel. May 2020.

Marathe M. Computational and Statistical Tools to Control a Pandemic. Theoretically Speaking Series, Simons Institute for the Theory of Computing, virtual panel. May 2020.

Marathe M. Computational Science for Real-time COVID-19 Response. ACM India Industry Webinar, virtual. April 2020.