Working papers
Maximising the Benefits of an Acutely Limited Number of COVID-19 Tests

[arxiv]

Jakob Jonnerby, Philip Lazos, Edwin Lock, Francisco J. Marmolejo-Cossío, Christopher Ramsay, Meghna Shukla, Divya Sridhar

  • Finalist - AI for Social Good Workshop at Harvard Center for Research on Computation and Society

  • Workshop on Global Challenges in Economics and Computation (GCEC) Grant Recipient

  • Winner of Best Lightning Talk at GCEC

 
Publications
“Health Sentinel: A mobile crowdsourcing platform for self­ reported surveys provides early detection of COVID- ­19 clusters in San Luis Potosí, Mexico”
[Link]

 

S. Ruiz­-Correa, R. López-­Revilla, F. Díaz­-Barriga, F. Marmolejo­-Cossío, V. Robledo-­Valero, E. Hernández­ Huérfano, L. Álvarez -Rivera, M. Rangel­-Martínez, M. Lutzow­-Steiner, L. Ortiz-­Vázquez, A. Mendoza-­Lara M. Olivo­-Rodríguez, M. Galván-­Ramírez, A. Morales­-Neria, V. Martínez­-Donjuan, M. Cervantes­-Irurzo, A. Comas-García, F. Maldonado, C. Aguilar-­Acosta.

To appear in International Journal of Medical Informatics, Sep 2021.

RPPLNS: Pay-per-last-N-shares with a Randomised Twist

[AAMAS 2021]
 

Philip Lazos, Francisco J. Marmolejo-Cossio, Jonathan Katz, Xinyu Zhou

Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems

 

Optimally Deceiving a Learning Leader in Stackelberg Games

[arxiv]

Georgios Birmpas, Jiarui Gan, Alexandros Hollender, Francisco J. Marmolejo-Cossío, Ninad Rajgopal, Alexandros A. Voudouris

34th Annual Conference on Neural Information Processing Systems (NeurIPS 2020)

To appear in Journal of Artificial Intelligence Research (JAIR)

 

Learning Strong Substitutes Demand via Queries

[arxiv]

Paul W. Goldberg, Edwin Lock, Francisco J. Marmolejo-Cossío

16th Conference on Web and Internet Economics (WINE 2020)

Nominated for Best Paper

 

Fairness and Efficiency in DAG-based Cryptocurrencies

[bibtex][arxiv]

Georgios Birmpas, Elias Koutsoupias, Philip Lazos, Francisco J. Marmolejo-Cossío
24th International Conference on Financial Cryptography and Data Security (FC 2020)

Competing (Semi-)Selfish Miners in Bitcoin

[arxiv][doi]

 

Francisco J. Marmolejo-Cossío, Eric Brigham, Benjamin Sela, Jonathan Katz
The 1st ACM Conference on Advances in Financial Technology (AFT 2019)

Learning Convex Partitions and Computing Game-theoretic Equilibria from Best Response Queries​

[arxiv][doi]
 

Paul W. Goldberg, Francisco J. Marmolejo-Cossío
The 14th Conference on Web and Internet Economics (WINE 2018)
Selected for special edition of ACM Transactions on Economics and Computation (TEAC)

 

Logarithmic Query Complexity for Approximate Nash Computation in Large Games ​

[arxiv][doi]

 

Paul W. Goldberg, Francisco J. Marmolejo-Cossío, Zhiwei Steven Wu
The 9th International Symposium on Algorithmic Game Theory (SAGT 2016)
In the TOCS special issue for selected papers from SAGT 2016

 
Other Publications
Concentrating Pooled COVID-19 Patient Lysates to Improve Reverse Transcription Quantitative PCR Sensitivity and Efficiency
[doi]

 

Clinical Chemistry, 2021; hvab035

Harshmeena R Sanghani, Dorota A Nawrot, Francisco Marmolejo-Cossío, John M Taylor, Judith Craft, Elizabeth Kalimeris, Monique I Andersson, Sridhar R Vasudevan,

 
Reports
A Report on the Fourth Workshop on Mechanism Design for Social Good (with Francisco J. Marmolejo Cossio). 2020. 
[Link]
 
Presentation Slides
Strategic and Structural Aspects of Bitcoin Mining [Link]

Optimally Deceiving a Learning Leader in Stackelberg Games [Link]
Maximising the Utility of A Limited Number of COVID Tests [Link]