Short Bio (resume )
Marios Kokkodis is an Assistant Professor of Information Systems at the Carroll School of Management, Boston College. His research focuses on understanding various aspects of online work, and on algorithmically improving the transaction efficacy of digital workplaces while maximizing the market value of their users. His work appears in major information systems (Management Science, Information Systems Research, ICIS), data mining (KDD, WWW, WSDM) and multidisciplinary (Plos One) outlets. He has received multiple awards and nominations, including the INFORMS ISS Gordon B. Davis Young Scholar Award, the INFORMS ISS Nunamaker-Chen dissertation award, the NYU Stern Harold W. MacDowell award, and the LinkedIn economic graph challenge award.
Selected Journal Publications
Kokkodis Marios. 2021. Dynamic, Multi-dimensional, and Skillset-specific Reputation Systems for Online Work. Information Systems Research.
Kokkodis Marios and Ipeirotis G. Panagiotis. 2021. Demand-Aware Career Path Recommendations: A Reinforcement Learning Approach. Management Science.
Kokkodis Marios, Lappas Theodoros, and Sam Ransbotham. 2020. From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare. Information Systems Research.
Kokkodis Marios and Lappas Theodoros. 2020. Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms. Information Systems Research.
Pelechrinis Konstantinos, Zacharias Christos, Kokkodis Marios, and Lappas Theodoros. 2017 Economic impact and policy implications from urban shared transportation: The case of Pittsburgh’s shared bike system. PLoS one.
Kokkodis Marios and Ipeirotis G. Panagiotis. 2016. Reputation Transferability in Online Labor Markets. Management Science.
Selected Conference Publications
Kokkodis Marios. 2019. Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets. Proceedings of the ACM Web Conference (WWW).
Kokkodis Marios. 2018. Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
Kokkodis Marios, Papadimitriou Panagiotis and Ipeirotis G. Panagiotis. 2015. Hiring Behavior Models for Online Labor Markets. Proceedings of the eighth ACM International Conference on Web Search and Data Mining.
Kokkodis Marios and Ipeirotis G. Panagiotis. 2013. Have you done anything like that? Predicting user performance using inter-category reputation. Proceedings of the sixth ACM International Conference on Web Search and Data Mining.
Press Coverage
Kokkodis Marios and Lappas Theodoros. 2020. Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms. Information Systems Research.
- INFORMS Resoundingly Human podcast interview: Is your bias affecting my meal?
- Popularity distance between a restaurant's location and a person's hometown biases ratings.
Pelechrinis Konstantinos, Zacharias Christos, Kokkodis Marios, and Lappas Theodoros. 2017 Economic impact and policy implications from urban shared transportation: The case of Pittsburgh’s shared bike system. PLoS one.
Research
My research focuses primarily on the emergence of online labor markets that facilitate transactions between independent contractors and employers. Currently, I am working in three different areas:
- Understanding and Modeling Career development
paths
In digital workplaces, the ability of online workers to charge for their services depends on their skills and expertise. The value of each skill is bound to market conditions, i.e., the skill's demand and supply. Because in digital workplaces new skills are born faster than eever, online workers must be diligently and continuously re-educating and reskilling themselves.
Related to this career development process of online workers, I am interested in (1) understanding what career choices result in higher market value and (2) algorithmically recommending reasonable career choices.Working Papers
Kokkodis Marios. Skillset Diversification in Online Labor Markets: Reputation Losses and Opportunity Gains (3rd round).
Publications
Kokkodis Marios and Ipeirotis G. Panagiotis. 2021. Demand-Aware Career Path Recommendations: A Reinforcement Learning Approach. Management Science.
Kokkodis Marios and Ipeirotis G. Panagiotis. 2014. The Utility of Skills in Online Labor Markets. Proceedings of the International Conference on Information Systems (ICIS).
-
Understanding and Improving Online Reputation Systems
To reduce information asymmetry and help buyers make better predictions of the expected service quality, online platforms have developed reputation systems: workers (services) get rated for their performance (quality) and these ratings become part of their online "resumes." Buyers then consider past performance as a signal for future service quality. In theory, such reputation mechanisms should inform and facilitate matching between buyers and services. In practice however, these systems are inefficient.
I am interested in (1) building systems that provide multi-dimensional and skillset-specific estimates of service quality, (2) understanding biases in assigned ratings, and (3) investigating how seemingly exogenous characteristics can improve the quality of current reputation systems.Working Papers
Kokkodis Marios, Lappas Theodoros and Kane Gerald. Direct and Indirect Effects of Introducing Purchase Verification in E-commerce Platforms. (Minor revision).
Kokkodis Marios, Adamopoulos Panagiotis, and Ransbotham Sam. Asymmetric Reputation Spillover Effects from Digital Agencies in Online Markets. (Major revision).
Publications
Kokkodis Marios. 2021. Dynamic, Multi-dimensional, and Skillset-specific Reputation Systems for Online Work. Information Systems Research.
Kokkodis Marios and Lappas Theodoros. 2020. Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms. Information Systems Research.
Kokkodis Marios. 2019. Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets. Proceedings of the ACM Web Conference (WWW).
Kokkodis Marios and Ipeirotis G. Panagiotis. 2016. Reputation Transferability in Online Labor Markets. Management Science.
Kokkodis Marios and Ipeirotis G. Panagiotis. 2013. Have you done anything like that? Predicting user performance using inter-category reputation. Proceedings of the sixth ACM International Conference on Web Search and Data Mining (WSDM).
- Understanding and Predicting Online User
Behavior
Understaing how employers choose contrcators in digital workplaces and providing meaningful contractor recommendations is a crucial component of an online market. In general, prediction of online user behavior allows for managerial interventions in various contexts.
I am particularly interested in building systems that dynamically (1) match contractors with employers, and (2) predict an online user's participation patterns.Working Papers
Kokkodis Marios and Ransbotham Sam. "Employer Learning and Risk Adjustment: Towards Successful Hiring in Online Labor Markets." (Minor revision)
Kokkodis Marios and Ipeirotis G. Panagiotis. Designing Recommender Systems in Online Labor Markets. (4th round).
Publications
Kokkodis Marios, Lappas Theodoros, and Sam Ransbotham. 2020. From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare. Information Systems Research.
Kokkodis Marios. 2018. Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
Kokkodis Marios and Theodoros Lappas. 2016. Realizing the Activation Potential of Online Communities. International Conference on Information Systems (ICIS). (Nominated for best paper award)
Kokkodis Marios, Papadimitriou Panagiotis and Ipeirotis G. Panagiotis. 2015. Hiring Behavior Models for Online Labor Markets. Proceedings of the eighth ACM International Conference on Web Search and Data Mining (WSDM).
Teaching
I will post teaching material soon.
Contact
kokkodisbcedu
(617) 552-1698
140 Commonwealth Ave, Fulton Hall 412C Chestnut Hill, MA 02467
Industry Collaborations
During my PhD years I had the opportunity to intern at Microsoft Research and oDesk:
- Research
Scientist at Microsoft Research (Summer 2013)
In summer of 2013 I joined the Search Labs group at Microsoft Research (Mountain View Campus). There I worked with Anitha Kannan and Krishnaram Kenthapadi on algorithmically augmenting education textbooks with videos. My work has lead to two publications and one patent.
- Data
Scientist at oDesk.com (Summer 2012)
In summer of 2012 I joined oDesk Research. There I worked with Panagiotis Papadimitriou on building a framework for recommending potential good contractors to employers. The framework we developed is currently in use by oDesk. Furthermore, my involvement in this project sparked my interest in hiring decisions in Online Labor Markets, a subject that ended up being a whole chapter in my dissertation.
- Data
Scientist at oDesk.com (Summer 2011)
In summer of 2011 I joined for the first time oDesk Research. There I worked with John Horton on finding associations amongst the available skills in the market place. This was my first exposure to online labor markets. My very good collaboration with John, as well as the exciting questions that were naturally arising is this area of paid crowdsourcing were a few of the fundamental reasons I ended up pursuing a dissertation about inefficiencies in Online Labor Markets.
Publications
Dynamic, Multi-dimensional, and Skillset-specific Reputation Systems for Online Work
Kokkodis Marios.
Information Systems Research, 2021.
Demand-Aware Career Path Recommendations: A Reinforcement Learning Approach
Kokkodis Marios and Ipeirotis G. Panagiotis.
From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare
Kokkodis Marios, Lappas Theodoros and Ransbotham Sam.
Information Systems Research, 2020.
Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms
Kokkodis Marios and Lappas Theodoros.
Information Systems Research, 2020.
Economic impact and policy implications from urban shared transportation: The case of Pittsburgh’s shared bike system
Pelechrinis Konstantinos, Zacharias Christos, Kokkodis Marios, and Lappas Theodoros.
Reputation Transferability in Online Publications Labor Markets
Kokkodis Marios and Ipeirotis G. Panagiotis.
Employer Learning and Risk Adjustment: Towards Successful Hiring in Online Labor Markets
Kokkodis Marios and Ransbotham Sam.
Direct and Indirect Effects of Introducing Purchase Verification in E-commerce Platforms
Kokkodis Marios, Lappas Theodoros, and Kane Gerald
Designing Recommender Systems in Online Labor Markets
Kokkodis Marios and Ipeirotis G. Panagiotis
Skillset Diversification in Online Labor Markets: Reputation Losses and Opportunity Gains
Kokkodis Marios
Asymmetric Reputation Spillover Effects from Digital Agencies in Online Markets
Kokkodis Marios, Adamopoulos Panagiotis, and Ransbotham Sam
Human vs. Machine: Biases in Hiring Decisions
Teodorescu Mike H., Ordabayeva Nailya, and Kokkodis Marios
When to Trust and Distrust Artificial Intelligence
Kokkodis Marios and Ransbotham Sam
Learning New Hiring Practices in Dynamic Online Labor Markets
Ransbotham Sam and Kokkodis Marios
Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets
Kokkodis Marios.
Proceedings of the ACM Web Conference (WWW), 2019.
Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets
Kokkodis Marios.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2018.
Realizing the Activation Potential of Online Communities
Kokkodis Marios, Lappas Theodoros.
International Conference on Information Systems (ICIS), 2016. (Nominated for best paper award.)
The Relationship Between Disclosing Purchase Information and Reputation Systems in Electronic Markets
Kokkodis Marios, Lappas Theodoros.
International Conference on Information Systems (ICIS), 2016.
Hiring Behavior Models for Online Labor Markets
Kokkodis Marios, Papadimitriou Panagiotis and Ipeirotis G. Panagiotis.
ACM Web Search and Data Mining (WSDM), 2015.
The Utility of Skills in Online Labor Markets
Kokkodis Marios and Ipeirotis G. Panagiotis.
International Conference on Information Systems (ICIS), 2014.
Assigning Educational Videos at Appropriate Locations in Textbooks
Kokkodis Marios, Anitha Kannan, and Krishnaram Kenthapadi.
International Educational Data Mining Society (EDM), 2014.
Higher Education
2010-2015 NYU Stern School of Business, USA. PhD in Information Systems
2008-2010 University of California Riverside, USA. MSc in Computer Science
2002-2007 National Technical University of Athens, Greece. Ptychion in Electrical and Computer Engineering (5-year program)
Research Interests
Online labor markets, worker reputation, reskilling, career paths, employer-worker matching
Employment
07/2015 - Assistant Professor of Information Systems at Carroll School of Management, Boston College
05/2013-08/2013 Research scientist intern at Microsoft Research
06/2012-09/2012 Data scientist intern at oDesk
06/2011-09/2011 Data scientist intern at oDesk
Teaching
2021 Data Management for Analytics and Applications
2018 - 2021 Data Analytics in Practice
2016 - 2017 Analytics and Business Intelligence
2014 Dealing with data
Research Grants
2016 Marios Kokkodis (PI). Understanding the Dimensions of Reputation Transferability in Online Communities", Catalyst grant, Boston College, $15,000
Awards
2021 Carroll School of Management Teaching Star
2020 INFORMS ISS Gordon B. Davis Young Scholar Award
2020 Distinguished Service Award. Reviewer, Management Science
2018 LinkedIn Economic Graph Competition
2016 ICIS Best Paper Award (nominee)
2015 INFORMS ISS Nunamaker-Chen Dissertation Award (runner-up)
2015 NYU Stern Harold W. MacDowell Dissertation Award
2014 AAAI HCOMP Doctoral Consortium
2014 INFORMS Data Mining Best Student Paper Award Competition (runner up)
2014 Lee Sproull Doctoral Fellowship
2010-2014 New York University Fellowship
2008-2010 University of California Riverside, Graduate Division fellowship
2002 Member of the Cyprus Biology team, International Biology Olympiad
2002 Member of the Cyprus Physics team, International Physics Olympiad
Working Papers
Kokkodis Marios and Ransbotham Sam. "Employer Learning and Risk Adjustment: Towards Successful Hiring in Online Labor Markets." (Minor revision)
Kokkodis Marios, Lappas Theodoros, and Kane Gerald. Direct and Indirect Effects of Introducing Purchase Verification in E-commerce Platforms. (Minor revision)
Kokkodis Marios and Ipeirotis G. Panagiotis. "Designing Recommender Systems in Online Labor Markets." (4th round)
Kokkodis Marios. "Skillset Diversification in Online Labor Markets: Reputation Losses and Opportunity Gains." (3rd round)
Kokkodis Marios, Adamopoulos Panagiotis, and Ransbotham Sam. "Asymmetric Reputation Spillover Effects from Digital Agencies in Online Markets." (Major revision)
Teodorescu Mike H., Ordabayeva Nailya, and Kokkodis Marios. Human vs. Machine: Biases in Hiring Decisions. (sponsored by the Brookings Institute)
Kokkodis Marios and Ransbotham Sam. When to Trust and Distrust Artificial Intelligence.
Ransbotham Sam and Kokkodis Marios. Learning New Hiring Practices in Dynamic Online Labor Markets.
Journal Publications
Kokkodis Marios. 2021. Dynamic, Multi-dimensional, and Skillset-specific Reputation Systems for Online Work. Information Systems Research.
Kokkodis Marios and Ipeirotis G. Panagiotis. 2021. Demand-Aware Career Path Recommendations: A Reinforcement Learning Approach. Management Science
Kokkodis Marios, Lappas Theodoros, and Sam Ransbotham. 2020. From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare. Information Systems Research.
Kokkodis Marios and Lappas Theodoros. 2020. Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms. Information Systems Research.
Pelechrinis Konstantinos, Zacharias Christos, Kokkodis Marios, and Lappas Theodoros. 2017 Economic impact and policy implications from urban shared transportation: The case of Pittsburgh’s shared bike system. PLoS one.
Kokkodis Marios and Ipeirotis G. Panagiotis. 2016. Reputation Transferability in Online Publications Labor Markets. Management Science.
Conference Publications (refereed)
Kokkodis Marios. 2019. Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets Proceedings of the ACM Web Conference (WWW).
Kokkodis Marios. 2018. Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
Kokkodis Marios and Theodoros Lappas. 2016. Realizing the Activation Potential of Online Communities. International Conference on Information Systems (ICIS). (Nominated for best paper award.)
Kokkodis Marios and Theodoros Lappas. 2016. The Relationship Between Disclosing Purchase Information and Reputation Systems in Electronic Markets. International Conference on Information Systems (ICIS).
Kokkodis Marios, Papadimitriou Panagiotis and Ipeirotis G. Panagiotis. 2015. Hiring Behavior Models for Online Labor Markets. Proceedings of the eighth ACM International Conference on Web Search and Data Mining (WSDM).
Kokkodis Marios and Ipeirotis G. Panagiotis. 2014. The Utility of Skills in Online Labor Markets. Proceedings of the International Conference on Information Systems (ICIS).
Kokkodis Marios, Anitha Kannan, and Krishnaram Kenthapadi. 2014. Assigning Educational Videos at Appropriate Locations in Textbooks. Proceedings of the International Educational Data Mining Society (EDM).
Kokkodis Marios, Kannan Anitha, and Krishnaram Kenthapadi. 2014. Assigning Videos to Textbooks at Appropriate Granularity. Proceedings of the first ACM Learning at Scale (LAS) conference.
Kokkodis Marios and Ipeirotis G. Panagiotis. 2013. Have you done anything like that? Predicting user performance using inter-category reputation. Proceedings of the sixth ACM International Conference on Web Search and Data Mining (WSDM).
Kokkodis Marios. 2012. Learning from positive and unlabeled amazon reviews: towards identifying trustworthy reviewers. Proceedings of the 21st international conference companion on World Wide Web (WWW).
Kokkodis Marios, Faloutsos Michalis and Markopoulou Athina. 2011. Network-level characteristics of Spamming: An empirical analysis. IEEE Network Protocols (ICNP).
Kokkodis Marios and Faloutsos Michalis. 2009. Spamming Botnets: Are we losing the war? Microsoft Conference on Email and Anti-Spam.
Refereed Conferences without Proceedings
Kokkodis Marios. 2019. Diversify or Specialize? Demand-Reputation Trade-Offs and Career Paths in Online Labor Markets Conference on Information Systems and Technology (CIST).
Kokkodis Marios. 2018. Expertise Assessment and Reputation Deflation in Online Labor Markets. INFORMS Workshop on Data Science.
Kokkodis Marios and Lappas Theodoros. 2016. Understanding The Process Of Generating Online Content For Increasing User Participation Winter Conference on Business Intelligence.
Kokkodis Marios and Lappas Theodoros. 2015. The Effect of Disclosing Purchase Information on Review Helpfulness: Evidence from Amazon.com. Conference on Information Systems and Technology (CIST).
Kokkodis Marios, Papadimitriou Panagiotis and Ipeirtotis G. Panagiotis. 2014. On Hiring Decisions in Online Labor Markets. Workshop on Information Systems Economics (WISE).
Kokkodis Marios. 2014. Online Labor Markets: Reputation Transferability, Career Development Paths and Hiring Decisions. Doctoral Consortium, AAAI Conference on Human Computation & Crowdsourcing (HCOMP).
Kokkodis Marios, Papadimitriou Panagiotis and Ipeirtotis G. Panagiotis. 2013. Who Should I Hire? Maximizing Employer’s Utility in Online Labor Markets. Winter Conference on Business Intelligence.
Kokkodis Marios and Ipeirotis G. Panagiotis. 2012. Where are you coming from, stranger? Predicting future performance using inter-category reputation. Winter Conference on Business Intelligence.
Patents
Kannan Anitha, Krishnaram Kenthapadi and Kokkodis Marios. “Associating content items with document sections.” US Patent 20,160,070,782.
Service
Reviewer: Management Science.
Reviewer: Information Systems Research.
Reviewer: Management Information Systems Quarterly.
Reviewer: Research Policy.
Reviewer: Manufacturing & Service Operations Management.
Reviewer: INFORMS Journal on Computing.
Reviewer: Decision Sciences.
Reviewer: Journal of the Association for Information Systems.
Reviewer: Journal of Artificial Intelligence Research.
Reviewer: Transactions on Knowledge and Data Engineering.
Reviewer: Oxford Bulleting of Economics and Statistics.
Reviewer: Information & Management.
Associate Editor: International Conference on Information Systems (ICIS) 2017, 2018, 2019.
Program Committee: The Web Conference (WWW) 2021.
Program Committee: Conference on Information Systems and Technology (CIST) 2019, 2020.
Program Committee: Workshop on Information Technologies and Systems (WITS) 2016, 2017, 2018, 2019, 2020.
Session Chair: "Consumers, Markets, and Economy," INFORMS Workshop on Data Science, 2018.
Judge: INFORMS student data mining competition, 2016.
Program Committee: Statistical Challenges in eCommerce Research (SCECR), 2016.
Program Committee: IJCAI Special Track on AI and the Web, 2016.
Program Committee: ACM Conference on Economics and Computation (EC), 2016.
Reviewer: International Conference on Information Systems (ICIS) 2014, 2015, 2016.
Web Chair: Conference on Human Computation & Crowdsourcing (HCOMP) 2015.
Session Chair: ‘Big Data in Business and Society’, International Conference on Information Systems (ICIS), 2014.
Languages
English
Greek