Research Publications

Underline signifies undergraduate researchers from Oberlin College.

Conference Papers (Full Papers)

  • Kakarlapudi, A., Anil, G., Eck, A., Doshi, P., & Soh, L.-K. 2022. Decision-Theoretic Planning with Communication in Open Multiagent Systems. Proceedings of the 2022 Conference on Uncertainty in Artificial Intelligence (UAI'22), Eindhoven, Netherlands, August 1-5, 2022. [link] [OpenReview]
  • Abebe, R., Eck, A., Ikeokwu, C., & Taggart, S. 2022. An Algorithmic Introduction to Savings Circles. Proceedings of the Thirty-sixth AAAI Conference on Artificial Intelligence (AAAI’2022). Vancouver, BC, Canada, February 22-March 1, 2022. [link] [Preprint with Appendices]
  • Eck, A., Shah, M., Doshi, P., & Soh, L.-K. 2020. Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems. Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI’2020), New York City, NY, February 8-12, 2020. [link] [Preprint with Appendices] [Poster] [Lightning Talk]
  • Chandrasekaran, M., Eck, A., Doshi, P., & Soh, L.-K. 2016. Individual Planning in Open and Typed Agent Systems. Proceedings of the 2016 Conference on Uncertainty in Artificial Intelligence (UAI'16), New York City, NY, June 25-29, 2016. [link]
  • Eck, A. & Soh, L.-K., & Shell, D.F. 2016. Investigating Differences in Wiki-based Collaborative Activities between Student Engagement Profiles in CS1. Proceedings of the 46th ACM Technical Symposium on Computer Science Education (SIGCSE’16), Memphis, Tennessee, March 2-5, 2016. [link]
  • Eck, A. & Soh, L.-K. 2015. To Ask, Sense, or Share: Ad Hoc Information Gathering. Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’15), Bordini, Elkind, Weiss, Yolum (eds.), Istanbul, Turkey, May 4-8, 2015, 367-376. [link]
  • Eck, A. & Soh, L.-K. 2014. Online Heuristic Planning for Highly Uncertain Domains. Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’14), Lomuscio, Scerri, Bazzan, and Huhns (eds.), Paris, France, May 5-9, 2014, 741-748. [link]
  • Eck, A., Soh, L.-K., & Brassil, C. 2013. Supporting Active Wiki-based Collaboration. Proceedings of the 10th International Conference on Computer Supported Collaborative Learning (CSCL’13), Madison, Wisconsin, June 15-19, 2013, 176-183. [link]
  • Eck, A., Soh, L.-K., Jiang, H., & Chou, T. 2007. Testing Collaborative Traffic Over Wireless Protocols. Proceedings of the 37th ASEE/IEEE Frontiers in Education Conference (FIE ’07), Milwaukee, Wisconsin, Oct. 10-13, 2007. F4J-11 – F4J-16.
  • Miller, L.D., Eck, A., Soh, L.-K., & Jiang, H. 2007. Statistics and Analysis Tools for a Computer-Supported Collaborative Learning System. Proceedings of the 37th ASEE/IEEE Frontiers in Education Conference (FIE ’07), Milwaukee, Wisconsin, Oct. 10-13, 2007. F3J-1 – F3J-6.

Journal Papers

  • Eck, A., Soh, L.-K., & Doshi, P. 2023. Decision Making in Open Multiagent Systems. AI Magazine. 44(4), 508-523. [link] [Video Abstract]
  • Buskirk, T.D., Blakely, B.P., Eck, A., McGrath, R., Singh, R., & Youzhi, Y. 2022. Sweet Tweets! Evaluating a New Approach for Probabilitiy-Based Sampling of Twitter. EPJ Data Science. 11, Article 9. [link]
  • Eck, A., Cordova-Cazar, A.L., Callegaro, M., & Biemer, P. 2021. Big Data Meets Survey Science. Social Science Computer Review. 39(4), 484-488. Available online first in 2019. [link].
  • Hill, C.A., Biemer, P.P., Buskirk, T. D., Eck, A., Japec, L., Kirchner, A., Kolenikov, S., Lyberg, L.E. 2019. Exploring New Statistical Frontiers at the Intersection of Survey Science and Big Data: A Report from BigSurv18. Survey Research Methods. 13(1), 123-135. [link]
  • Eck, A. 2018. Neural Networks for Survey Researchers. Survey Practice, 11(1). [link]
  • Buskirk, T.D., Kirchner, A., Eck, A., & Signorino, C.S. 2018. An Introduction to Machine Learning for Survey Researchers. Survey Practice, 11(1). [Link]
  • Eck, A., Soh, L.-K., Devlin, S., & Kudenko, D. 2016. Potential-Based Reward Shaping for Finite Horizon Online POMDP Planning, Autonomous Agents and Multiagent Systems, 30, 403-445. [link]
  • Eck, A. & Soh, L.-K. 2013. Observer Effect from Stateful Resources in Agent Sensing, Autonomous Agents and Multiagent Systems, 26(2), 202-244. [link]
  • Eck, A. & Soh, L.-K. 2013. MineralMiner: An Active Sensing Simulation Environment. Multiagent and Grid Systems, 9, 197-226. [link]
  • Khandaker, N., Soh, L.-K., Miller., L. D., Eck, A., & Jiang, H. 2011. Lessons learned from comprehensive deployments of multiagent CSCL applications I-MINDS and ClassroomWiki. IEEE Transactions on Learning Technologies, 4(1), 47-58. [link]

Book Chapters

  • De Veaux, R.D. & Eck, A. 2021. Machine Learning Methods for Computational Social Science. In U. Engel, A. Quan-Haase, S.X. Liu, & L. Lyberg (Eds.), Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modeling, and Machine Learning Methods. Routledge. [Link] [Book Link]

Additional Refereed Publications

  • Eck, A., Soh, L.-K., Olson, K., McCutcheon, A.L., Smyth, J., & Belli, R.F. 2015. Understanding the Human Condition through Survey Informatics. IEEE Computer Magazine, November 2015, 112-116. [link]

Conference Papers (Short Papers)

  • Chen, B., Eck, A., & Soh, L.-K. 2016. Collaborative Human Task Assignment for Open Systems (Extended Abstract). Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’16), Thangarajah, Tuyls, Jonker, and Marsella (eds.), Singapore, May 9-13, 2016. [link]
  • Eck, A. 2014. Reflective, Deliberative Information Gathering (Doctoral Consortium). Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’14), Lomuscio, Scerri, Bazzan, and Huhns (eds.), Paris, France, May 5-9, 2014, 1721-1722. [link]
  • Eck, A. & Soh, L.-K. 2013. Dynamic Facts within Large Team Information Sharing (Extended Abstract). Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’13), Ito, Jonker, Gini, and Shehory (eds.), Saint Paul, Minnesota, May 6-10, 2013, 1217-1218. [link]
  • Eck, A., Soh, L.-K., Devlin, S., & Kudenko, D. 2013. Potential-Based Reward Shaping for POMDPs (Extended Abstract). Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’13), Ito, Jonker, Gini, and Shehory (eds.), Saint Paul, Minnesota, May 6-10, 2013, 1123-1124. [link]
  • Eck, A. 2013. Active Sensing in Complex Multiagent Environments (Doctoral Consortium). Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’13), Ito, Jonker, Gini, and Shehory (eds.), Saint Paul, Minnesota, May 6-10, 2013, 1429-1430. [link]
  • Eck, A. & Soh, L.-K. 2012. Evaluating POMDP Rewards for Active Perception (Extended Abstract). Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’12), Conitzer, Winikoff, Padgham, and van der Hoek (eds.), Valencia, Spain, June 4-8, 2012. [link]
  • Eck, A. & Soh, L.-K. 2011. Agent Sensing with Stateful Resources (Extended Abstract). Proceedings of 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’11), Tumer, Yolum, Sonenberg and Stone (eds.), Taipei, Taiwan, May, 2-6, 2011, 1283-1284. [link]

Refereed Workshop and Symposium Papers

  • Eck, A. & Soh, L.-K. 2014. Intelligent Information Sharing for Localized, Non-stationary Phenomena. Proceedings of the 6th International Workshop on Emergent Intelligence in Networked Agents (WEIN'14), Paris, France, May 5, 2014. [link]
  • Eck, A. & Soh, L.-K. 2012. Active Sensing for Opponent Modeling in Poker. Proceedings of the 2012 Computer Poker Symposium, Toronto, Ontario, Canada, July 23, 2012. [link]
  • Eck, A. & Soh, L.-K. 2012. Adaptive Knowledge Associates. Proceedings of the First International Workshop on Human-Agent Interaction Design and Models (HAIDM'12), Valencia, Spain, June 4, 2012, 107-114. [link]

Dissertations and Theses

  • Eck, A. 2015. Reflective, Deliberative Agent-Based Information Gathering. Ph.D. Dissertation. University of Nebraska-Lincoln. [link]
  • Eck, A. 2010. Agent Sensing with Stateful Resources. Masters Thesis. University of Nebraska-Lincoln. [link]
  • Eck, A. 2008. Resource Aware Multiagent Support for Online Collaboration. Undergraduate Honors Thesis. University of Nebraska-Lincoln.

Technical Reports

  • Eck, A. & Soh, L.-K. 2013. Non-Stationary Phenomenon in Large Team Information Sharing. Technical Report TR-UNL-CSE-2013-0001, Department of Computer Science and Engineering, University of Nebraska, Lincoln, NE. [link]
  • Eck, A. & Soh. L.-K. 2009. Intelligent User Interfaces with Adaptive Knowledge Associates, Technical Report TR-UNL-CSE-2009-0011, Department of Computer Science and Engineering, University of Nebraska, Lincoln, NE. [link]
  • Eck, A. & Soh. L.-K. 2009. Agent Sensing in Limited Resource Environments, Technical Report TR-UNL-CSE-2009-2005, Department of Computer Science and Engineering, University of Nebraska, Lincoln, NE. [link]
  • Eck, A., Miller, L.D., Soh, L.-K., Jiang, H., & Chou, T. 2007. ConferenceXP-Powered I-MINDS: A Multiagent System for Intelligently Supporting Online Collaboration, Technical Report TR-UNL-CSE-2007-0014, Department of Computer Science and Engineering, University of Nebraska, Lincoln, NE.

Other Reviewed Conference Presentations (with Abstracts)

  • Eck, A., Dovichi, A., Sheltraw, A., McQuilken-Scholze, B., Thota, I., & Buskirk, T.D. 2021. Machine Learning Predictions of COVID-19 Outcomes Using Survey Panels. 76th Annual Conference of the American Association for Public Opinion Research, May 11-14, 2021.
  • Buskirk, T.D., Blakely, B., Eck, A., Singh, R., & Yu, Y. 2021. Sweet Tweets! Exploring a New Method for Probability-based Twitter Sampling. 76th Annual Conference of the American Association for Public Opinion Research, May 11-14, 2021.
  • Eck, A., Buskirk, T., Shao, H., & Fletcher, K. 2019. Taking the Machines to Class: Exploring How to Train Machine Learning Methods to Understand Image Data for Survey Sampling. 74th Annual Conference of the American Association for Public Opinion Research, Toronto, Canada, May 16-19, 2019.
  • Timbrook, J. & Eck, A. 2019. Humans vs. Machines: Comparing Coding of Interviewer Question-Asking Behaviors using Recurrent Neural Networks to Human Coders. 74th Annual Conference of the American Association for Public Opinion Research, Toronto, Canada, May 16-19, 2019.
  • Timbrook, J. & Eck, A. 2018. Comparing Coding of Interviewer Question-Asking Behaviors using Recurrent Neural Networks to Human Coders. 2018 Annual Conference of the Midwest Association for Public Opinion Research, Chicago, Illinois, November 16-17, 2018.
  • Eck, A., Buskirk, T., Fletcher, K., Stefek, P., Shao, H., Park, K.H., & Losch, M. 2018. Machine Made Sampling Frames: Creating Sampling Frames of Windmills and Other Non-Traditional Sampling Units Using Machine Learning with Neural Networks. 2018 International Conference on Big Data Meets Survey Science, Barcelona, Spain, October 25-27, 2018.
  • Timbrook, J. & Eck, A. 2018. Comparing Coding of Interviewer Question-Asking Behaviors using Recurrent Neural Networks to Human Coders. 2018 International Conference on Big Data Meets Survey Science, Barcelona, Spain, October 25-27, 2018.
  • Mussard-Afcari, Y. & Eck., A. 2018. Creating Barriers to Determination of Structurally Cohesive Subgroups. 2018 Data Justice Conference. Cardiff, UK. May 21-22, 2018.
  • Eck, A., Buskirk, T., Stefek, P., Park, K.H., Losch, M., & Fletcher, K. 2018. Into the Sandbox! Using Machine Learning with Neural Networks to Create Sampling Frames of Playgrounds and Other Non-Traditional Sampling Units. 73rd Annual Conference of the American Association for Public Opinion Research, Denver, Colorado, May 16-19, 2018.
  • Eck., A., Kirchner, A., Soh, L.-K., & McCutcheon, A.L. 2017. Should I Stay or Should I Go Now? Adaptive Survey Instruments to Reduce Breakoff in Online Surveys. 2017 Annual Conference of the Midwest Association for Public Opinion Research, Chicago, Illinois, November 17-18, 2017.
  • Eck, A. & Soh, L.-K. 2017. Sequential Prediction of Respondent Behaviors Leading to Error in Web-based Surveys. 72nd Annual Conference of the American Association for Public Opinion Research, New Orleans, LA, May 18-21, 2017.
  • Eck, A. 2016. Does the Behavior Concur with the Neural Nets that Recur? 2016 Annual Conference of the Midwest Association for Public Opinion Research, Chicago, Illinois, November 18-19, 2016.
  • Eck, A. 2015. Teaching Survey Informatics for the Future of Survey Research. 2015 Annual Conference of the Midwest Association for Public Opinion Research, Chicago, Illinois, November 20-21, 2015.
  • Eck, A., Soh, L.-K., McCutcheon, A.L., & Belli, R.F. 2015. Predicting Survey Outcomes using Sequential Machine Learning Methods. 2015 Annual Conference of the Midwest Association for Public Opinion Research, Chicago, Illinois, November 20-21, 2015.
  • Eck, A., Soh, L.-K., & McCutcheon, A.L. 2015. Predicting Breakoff using Sequential Machine Learning Methods. 70th Annual Conference of the American Association for Public Opinion Research, Hollywood, Florida, May 14-17, 2015.
  • Arunachalam, H. Atkin, G., Wettlaufer, D., Eck, A., Soh, L.-K., & Belli, R.F. 2015. I Know What You Did Next: Predicting Respondent’s Next Activity Using Machine Learning. 70th Annual Conference of the American Association for Public Opinion Research, Hollywood, Florida, May 14-17, 2015.
  • Atkin, G., Arunachalam, H., Eck, A., Wettlaufer, D., Soh, L.-K., & Belli, R.F. 2015. Using Machine Learning Techniques to Predict Respondent Type from A Priori Demographic Information. 70th Annual Conference of the American Association for Public Opinion Research, Hollywood, Florida, May 14-17, 2015.
  • Wettlaufer, D., Arunachalam, H., Atkin, G., Eck, A., Soh, L.-K., & Belli, R.F. 2015. Determining Potential for Breakoff in Time Diary Survey using Paradata. 70th Annual Conference of the American Association for Public Opinion Research, Hollywood, Florida, May 14-17, 2015
  • Eck, A., Stuart, L., Atkin, G., Soh, L.-K., McCutcheon, A., & Belli, R. 2014. Making Sense of Paradata: Challenges Faced and Lessons Learned. 69th Annual Conference of the American Association for Public Opinion Research, Anaheim, California, May 15-18, 2014. (Poster presentation)
  • Atkin, G., Arunachalam, H., Eck, A., Soh, L.-K., & Belli, R. 2014. Designing an Intelligent Time Diary Instrument: Visualization, Dynamic Feedback, and Error Prevention and Mitigation. 69th Annual Conference of the American Association for Public Opinion Research, Anaheim, California, May 15-18, 2014.
  • Ruther, N., Al Baghal, T., Eck, A., Stuart, L.C., Phillips, A. L., Belli, R. F., and Soh, L.-K. 2013. Examining the Relationship between Error and Behavior in the American Time Use Survey Using Audit Trail Paradata. 68th Annual Conference of the American Association for Public Opinion Research, Boston, Massachusetts, May 16-19, 2013.
  • Al Baghal, T., Phillips, A. L., Ruther, N., Belli, R. F., Eck, A., Stuart, L.C., and Soh, L.-K. 2013. What Are You Doing Now? Audit Trails, Activity Level Responses and Error in the American Time Use Survey. 68th Annual Conference of the American Association for Public Opinion Research, Boston, Massachusetts, May 16-19, 2013.
  • Eck, A., Miller, L.D., & Soh, L.-K. 2011. Metareasoning for Opponent Modeling in Texas Hold’em Poker, AAAI 2011, San Francisco, CA, Aug. 7-11, 2011. (Poster presentation)
  • Eck, A., Lam, D., & Soh, L.-K. 2011. Intelligent User Interfaces for Data Sharing and Documentation, TDWG 2011, New Orleans, LA, Oct. 16-21, 2011.
  • Eck, A., Lam, D., & Soh, L.-K., 2010. Investigating Advanced User Support Desired by Computational Biologists, TDWG 2010, Woods Hole, MA, Sept. 26-Oct. 1, 2010. (Working Group Session)
  • Eck, A., Lam, D., & Soh, L.-K. 2010. An Intelligent Wiki for Supporting Collaborative Research, TDWG 2010, Woods Hole, MA, Sept. 26-Oct. 1, 2010. (Poster presentation)

Additional Professional Presentations

  • Mussard-Afcari, Y. & Eck., A. 2018. Creating Barriers to Determination of Structurally Cohesive Subgroups. Keynote Address for the 2018 Oberlin College Senior Symposium. Oberlin, OH. April 27, 2018.
  • Eck, A., Soh, L.-K., & McCutcheon, A.L. 2015. Predicting Breakoff using Sequential Machine Learning Methods. UNL/SRAM/Gallup Symposium 2015, Omaha, NE, April 10, 2015.
  • Eck, A. & Soh, L.-K. 2014. Survey Informatics: Ideas, Issues, and Opportunities. UNL/SRAM/Gallup Symposium 2014, Omaha, NE, April 11, 2014.
  • Eck, A., Stuart, L., Atkin, G., Soh, L.-K., McCutcheon, A., & Belli, R. 2014. Making Sense of Paradata: Challenges Faced and Lessons Learned. UNL/SRAM/Gallup Symposium 2014, Omaha, NE, April 11, 2014.
  • Soh, L.-K. & Eck, A. 2014. Survey Informatics: Ideas, Issues, and Opportunities. NCRN Virtual Seminar, April 2, 2014. [video link]
  • Eck, A., Soh, L.-K., & Stuart, L. 2014. Making Sense of Paradata: Gallup Web Panel. Gallup/UNL Meeting, Omaha, NE, March 13, 2014.
  • Eck, A. 2012. Biofinity and the Biofinity Intelligent Wiki, Amphibian Workshop at the Henry Doorly Zoo, Omaha, NE, April 14, 2012.
  • Eck, A. & Soh, L.-K. 2012. IAMAS Repast Workshop, University of Nebraska-Omaha, Omaha, NE, January 2012.
  • Eck, A. 2011. Biofinity Intelligent Wiki, Butterfly Workshop at the Henry Doorly Zoo, Omaha, NE, July 30, 2011.
  • Eck, A. & Soh, L.-K. 2008. I-MINDS+RAMS: Resource-Aware Multiagent Support for Online Collaboration, UNL Undergraduate Research Conference 2008, Lincoln, NE, April 2008, Poster presentation.
  • Eck, A. & Soh, L.-K. 2007. ConferenceXP Powered I-MINDS: Intelligently Supporting Learning Through Online Collaboration, UNL Undergraduate Research Conference 2007, Lincoln, NE, April 2007, Poster presentation.