Marios Kokkodis

Marios Kokkodis
Assistant Professor of Information Systems
Carroll School of Management
Boston College
( Scholar )


Short Bio


Marios Kokkodis is an Assistant Professor of Information Systems at the Carroll School of Management, Boston College. He received his PhD in Information Systems from NYU Stern in May 2015, under the guidance of Panos Ipeirotis. His research focuses on the sharing economy and the future of work. His teaching includes data-analytics courses for both undergraduate and graduate business majors. His research appears in major Information Systems (Management Science, ICIS), Computer Science (KDD, WWW, WSDM) and multidisciplinary (Plos One) outlets. He has received multiple awards including the NYU Stern Harold W. MacDowell Award for his dissertation in online labor markets and the LinkedIn Economic Graph Challenge.

Research


My research focuses primarily on the future of work and the emergence of electronic labor markets that facilitate transactions between independent contractors and employers. Currently, I am working in three different areas:

  • Online Labor Markets

    In an online labor marketplace (OLM) employers post jobs, receive applications from workers who are looking for opportunities, and make hiring decisions. Once hired, workers complete the tasks online and receive their payment along with feedback about their performance. In these markets, I am interested in understanding (1) how does reputation transfer across different task categories, (2) how should workers expand their skillsets and (3) how do employers learn to make successful hiring decisions.

    Working Papers

    Kokkodis Marios and Ipeirotis G. Panagiotis. “Career Development Paths in Online Labor Markets”. (Major revision)

    Kokkodis Marios and Ipeirotis G. Panagiotis. "Designing Recommender Systems in Online Labor Markets." (Major revision)

    Kokkodis Marios and Ransbotham Sam. "Asymmetric Reputation Spillover from Agencies on Digital Platforms." (Under review)

    Publications

    Kokkodis Marios. “Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets.” Proceedings of the ACM Web Conference (WWW), 2019.

    Kokkodis Marios. “Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets.” Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2018.

    Kokkodis Marios and Ipeirotis G. Panagiotis. “Reputation Transferability in Online Labor Markets”. Management Science, 2016.

    Kokkodis Marios, Papadimitriou Panagiotis and Ipeirotis G. Panagiotis. “Hiring Behavior Models for Online Labor Markets”. Proceedings of the eighth ACM international conference on Web Search and Data Mining (WSDM). ACM, 2015.

    Kokkodis Marios and Ipeirotis G. Panagiotis. “The Utility of Skills in Online Labor Markets”. Proceedings of the International Conference on Information Systems (ICIS), 2014.

    Kokkodis Marios and Ipeirotis G. Panagiotis. “Have you done anything like that? Predicting user performance using intercategory reputation”. Proceedings of the sixth ACM International Conference on Web Search and Data Mining (WSDM). ACM, 2013.


  • User Generated Content

    Online communities on an ever-increasing variety of topics are now part of the daily routine of millions of online users. The fundamental premise of these communities is their reliance on voluntary content generation; each user can share, evaluate, discuss and annotate community content. In these platforms, I am interested in understanding (1) how do community users evolve from passive lurkers to active contributors and (2) how does the user location affect the user's generated content.

    Working Papers

    Kokkodis Marios, Lappas Theodoros, and Sam Ransbotham. "From Lurkers to Contributors: Dynamic Prediction of User Engagement and Community Welfare." (Major revision -- 3rd round)

    Kokkodis Marios and Lappas Theodoros. "My City is Better Than Yours: Image-Difference Bias in Online Reputation Platforms." (Major revision -- 3rd round)

    Publications

    Kokkodis Marios and Theodoros Lappas. “Realizing the Activation Potential of Online Communities”. International Conference on Information Systems (ICIS), 2016. (Nominated for best paper award.)


  • Online Markets

    Electronic marketplaces for a diverse set of products (e.g., Amazon.com, Beatport.com, Apple App store, etc.) have experienced significant growth (in users and income) during the past decade. In these environments, I am interested in understanding (1) what is the effect of disclosing purchase information on reputation systems, and (2) what is the effect of promoting agencies on sales.

    Working Papers

    Kokkodis Marios, Lappas Theodoros and Kane Gerald. “Purchase Verification and Fake Reviews in E-commerce Platforms: Evidence from a Natural Experiment” (Major revision)

    Publications

    Kokkodis Marios and Theodoros Lappas. “The Relationship Between Disclosing Purchase Information and Reputation Systems in Electronic Markets”. International Conference on Information Systems (ICIS), 2016.



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


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.

PLoS one, 2017.


Reputation Transferability in Online Publications Labor Markets

Kokkodis Marios and Ipeirotis G. Panagiotis.

Management Science, 2016.


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.


Have you Done Anything Like That? Predicting User Performance Using Inter-category Reputation

Kokkodis Marios, Ipeirotis G. Panagiotis.

ACM Web Search and Data Mining (WSDM), 2013.


Network-level Characteristics of Spamming: An Empirical Analysis

Kokkodis Marios, Faloutsos Michalis and Markopoulou Athina.

IEEE Network Protocols (ICNP), 2011.


Resume


Higher Education

2010-2015. NYU Stern School of Business, USA. PhD in Information Systems.
Advisor: Panos Ipeirotis
Committee Members: Arun Sundararajan, Foster Provost.

2008-2010. University of California Riverside, USA. M.Sc. 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, future of work, online platforms.


Professional Employment

07/2015 - present. Assistant Professor of Information Systems at Carroll School of Management, Boston College.

05/2013-08/2013. Research scientist intern at Microsoft Research. Worked on algorithmically augmenting education textbooks.

06/2012-09/2012. Data scientist intern at oDesk. Worked on oDesk’s contractor-client matching algorithm.

06/2011-09/2011. Data scientist intern at oDesk. Worked on matching skills towards a better recommendation system.


Teaching

Spring 2016 - present. Analytics and Business Intelligence.

Spring 2014. Dealing with data.


Research Grants

Marios Kokkodis (PI), "Understanding the Dimensions of Reputation Transferability in Online Communities", Catalyst grant, Boston College, $15,000, 09/01/2016 - 12/31/2016.


Awards

May 2018. LinkedIn Economic Graph Competition.

Dec 2016. ICIS Best Paper Award (nominee).

Nov 2015. INFORMS ISS Nunamaker-Chen Dissertation Award (runner-up).

May 2015. NYU Stern Harold W. MacDowell Dissertation Award.

Fall 2014. AAAI HCOMP Doctoral Consortium.

INFORMS Data Mining Best Student Paper Award Competition (runner up).

2014-2015. Lee Sproull Doctoral Fellowship.

2010-2014. New York University Fellowship.

2008-2010. University of California Riverside, Graduate Division fellowship.

2002. 1st place in the Cyprus Biology Olympiad. Represented Cyprus in the International Biology Olympiad (IBO 2002), in Latvia.

2002. 4th place in the Cyprus Physics Olympiad. Represented Cyprus in the International Physics Olympiad (IPHO 2002), in Bali, Indonesia.


Working Papers

Kokkodis Marios and Ipeirotis G. Panagiotis. “Career Development Paths in Online Labor Markets”. (Major revision)

Kokkodis Marios, Lappas Theodoros, and Ransbotham Sam. "From Lurkers to Contributors: Dynamic Prediction of User Engagement and Community Welfare." (Major revision -- 3rd round)

Kokkodis Marios and Lappas Theodoros. "My City is Better Than Yours: Image-Difference Bias in Online Reputation Platforms." (Major revision -- 3rd round)

Kokkodis Marios, Lappas Theodoros and Kane Gerald. “Purchase Verification and Fake Reviews in E-commerce Platforms: Evidence from a Natural Experiment (Major revision)

Kokkodis Marios and Ipeirotis G. Panagiotis. "Designing Recommender Systems in Online Labor Markets." (Major revision)

Kokkodis Marios and Ransbotham Sam. "Asymmetric Reputation Spillover from Agencies on Digital Platforms." (Under review)


Journal Publications

Pelechrinis Konstantinos, Zacharias Christos, Kokkodis Marios, and Lappas Theodoros. “Economic impact and policy implications from urban shared transportation: The case of Pittsburgh’s shared bike system”. PLoS one, 2017.

Kokkodis Marios and Ipeirotis G. Panagiotis. “Reputation Transferability in Online Publications Labor Markets”. Management Science, 2016.


Conference Publications (refereed)

Kokkodis Marios. Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets Proceedings of the ACM Web Conference (WWW), 2019.

Kokkodis Marios. “Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets”. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2018.

Kokkodis Marios and Theodoros Lappas. “Realizing the Activation Potential of Online Communities”. International Conference on Information Systems (ICIS), 2016. (Nominated for best paper award.)

Kokkodis Marios and Theodoros Lappas. “The Relationship Between Disclosing Purchase Information and Reputation Systems in Electronic Markets”. International Conference on Information Systems (ICIS), 2016.

Kokkodis Marios, Papadimitriou Panagiotis and Ipeirotis G. Panagiotis. “Hiring Behavior Models for Online Labor Markets”. Proceedings of the eighth ACM international conference on Web search and data mining (WSDM). ACM, 2015.

Kokkodis Marios and Ipeirotis G. Panagiotis. “The Utility of Skills in Online Labor Markets”. Proceedings of the International Conference on Information Systems (ICIS), 2014.

Kokkodis Marios, Anitha Kannan, and Krishnaram Kenthapadi. “Assigning Educational Videos at Appropriate Locations in Textbooks”. Proceedings of the International Educational Data Mining Society (EDM), 2014.

Kokkodis Marios, Kannan Anitha, and Krishnaram Kenthapadi. “Assigning Videos to Textbooks at Appropriate Granularity”. Proceedings of the first ACM Learning at Scale (LAS) conference. ACM, 2014.

Kokkodis Marios and Ipeirotis G. Panagiotis. “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). ACM, 2013.

Kokkodis Marios. “Learning from positive and unlabeled amazon reviews: towards identifying trustworthy reviewers”. Proceedings of the 21st international conference companion on World Wide Web (WWW). ACM, 2012.

Kokkodis Marios, Faloutsos Michalis and Markopoulou Athina.“Network-level characteristics of Spamming: An empirical analysis”, IEEE Network Protocols (ICNP), Vancouver, BC, October 2011.

Kokkodis Marios and Faloutsos Michalis.“Spamming Botnets: Are we losing the war?”, CEAS, Mountain View, CA, July 2009.


Refereed Conferences without Proceedings

Kokkodis Marios. "Expertise Assessment and Reputation Deflation in Online Labor Markets." In INFORMS Workshop on Data Science, 2018.

Kokkodis Marios and Lappas Theodoros. “Understanding The Process Of Generating Online Content For Increasing User Participation” In Winter Conference on Business Intelligence, 2016.

Kokkodis Marios, Lappas Theodoros and Pelechrinis Konstantinos. “The Invisible Barrier: The Effect of Promoting Agencies on Sales in Electronic Markets for Music” In Conference on Information Systems and Technology (CIST), 2016 and in Statistical Challenges in Electronic Commerce Research (SCECR), 2016, and in Winter Conference on Business Intelligence, 2016.

Pelechrinis Konstantinos, Wei Dong and Kokkodis Marios. "Assortativity Patterns in Multidimensional Attributed Networks: a Statistical Approach." Workshop on Information in Networks (WIN), 2015

Kokkodis Marios and Lappas Theodoros. "The Effect of Disclosing Purchase Information on Review Helpfulness: Evidence from Amazon.com." Conference on Information Systems and Technology (CIST), 2015.

Kokkodis Marios Papadimitriou Panagiotis, Ipeirtotis, G, Panagiotis. “On Hiring Decisions in Online Labor Markets”. Workshop on Information Systems Economics (WISE), 2014.

Kokkodis Marios. “Online Labor Markets: Reputation Transferability, Career Development Paths and Hiring Decisions”. Doctoral Consortium, AAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2014.

Kokkodis Marios, Papadimitriou Panagiotis, Ipeirtotis, G, Panagiotis. “Who Should I Hire? Maximizing Employer’s Utility in Online Labor Markets”. In 2013 Winter Conference on Business Intelligence.

Kokkodis Marios. “Credibility dimensions in online reviews”. In 2013 Winter Conference on Business Intelligence.

Kokkodis Marios and Ipeirotis G. Panagiotis. “Where are you coming from, stranger? Predicting future performance using inter-category reputation” In 2012 Winter Conference on Business Intelligence.


Invited Talks

“From Lurkers to Contributors: Managing User Activation in Online Communities”. INFORMS 2016

“The Effect of Promoting Agencies on Sales in Electronic Markets”. INFORMS 2015

“Disclosing Purchase Information and Review Helpfulness”. INFORMS 2015

“Maximizing Employer’s Utility in Online Labor Markets”. INFORMS 2013

“Reputation Transferability in Online Labor Markets”. INFORMS 2013


Patents

Kannan Anitha, Krishnaram Kenthapadi and Kokkodis Marios. “Associating content items with document sections”. US Patent 20,160,070,782.


Service

Program Committee: Workshop on Information Technologies and Systems (WITS) 2016, 2017.

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.

Web Chair: Conference on Human Computation & Crowdsourcing (HCOMP) 2015.

Session Chair: "Consumers, Markets, and Economy," INFORMS Workshop on Data Science, 2018.

Session Chair: ‘Big Data in Business and Society’, International Conference on Information Systems (ICIS), 2014.

Associate Editor: International Conference on Information Systems (ICIS) 2017, 2018.

Reviewer: Management Information Systems Quarterly (MISQ).

Reviewer: Information Systems Research (INFORMS ISR).

Reviewer: Management Science (INFORMS MS).

Reviewer: Journal of Artificial Intelligence Research (JAIR).

Reviewer: Transactions on Knowledge and Data Engineering (IEE TKDE).

Reviewer: Oxford Bulleting of Economics and Statistics.

Reviewer: International Conference on Information Systems (ICIS) 2014, 2015, 2016.


Languages

English

Greek