2016-2017 Information Science Annual Report

The Mission of the Donaghey College of Engineering and Information Technology is to:

  • provide innovative and diversified programs to enable our students to become qualified employees, to develop professionally, and to engage in lifelong learning;
  • engage in the pursuit of groundbreaking ​research​​,​ novel applications​​, and entrepreneur​ial innovations​;
  • offer service programs that address the needs of our community and region; and
  • foster and grow mutually beneficial partnerships with alumni, industry,​ educators, government agencies, and other stakeholders through collaborative endeavors.

The Department of Information Science seeks to expand human and technical capabilities through information in a world where information is of central importance to personal, organizational, social, political, technical, and economic progress. Information Science makes sense of the data that people gather through information technology. The programs that reside in the Department of Information Science focus on the transformation of data to information and knowledge, to intelligence and application, and on the technologies and systems that store and access the data in ways that impart its meaning.

The vision of our college is to prepare career-ready graduates who can address the evolving needs of employers and to address complex challenges through the integration of innovative education, research, and service.

The Information Science Department is very proud of the following achievements of its faculty, students, and staff for 2016-2017.

  1. Dr. Nitin Agarwal was recognized as a Winter 2016/Spring 2017 IARIA Fellow, International Academy, Research and Industry Association (IARIA). (December 11, 2016).
  2. Dr. Nitin Agarwal received a Best Paper Award, IARIA International Conference on Social Media Technologies, Communication, and Informatics (SOTICS 2016). (October 3, 2016).
  3. Dr. Nitin Agarwal and his research group were awarded the following new funded projects during 2016-2017.
    • Agarwal, N. (PI), "Conference Sponsorship: Tenth International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP)," Sponsored by U.S. Office of Naval Research (ONR) under Thrust Code 341 Award number: N00014-17-1-2461, Federal, $25,000.00. (May 1, 2017 - April 30, 2018).
    • Agarwal, N. (PI), "Developing Novel Socio-computational Methodologies to Analyze Multimedia-based Cyber Propaganda Campaigns," Sponsored by U.S. Office of Naval Research (ONR) Award number: N00014-17-1-2605, Federal, $1,530,830.00. (May 1, 2017 - January 31, 2019).
    • Agarwal, N. (PI), "SBP 2017-2019 Conference Sponsorship," Sponsored by U.S. Army Research Office (ARO), Federal, $63,000.00. (March 1, 2017 - February 29, 2020).
    • Agarwal, N. (Co-PI), "Large-scale Medical Informatics for Patient Care Coordination and Engagement," Sponsored by U.S. National Science Foundation (NSF), Federal, $1,000,000.00. (September 1, 2016 - August 31, 2019).
    • Agarwal, N. (PI), "Socio-computational Predictive Methods to Detect and Mitigate Bot Activity in Novel Information Environments," Sponsored by U.S. Defense Advanced Research Projects Agency (DARPA) Small Business Innovation Research (SBIR) Phase-2 grant, Federal, $1,000,000.00. (September 1, 2016 - August 31, 2019).
  4. The E-Commerce Senior Projects students under the direction of Mr. Bruce Bauer developed informational websites for two community non-profit organizations: the Gann Museum (ganmuseum.com) and the Benton Mural (bentonmural.com).
  5. Dr. Dan Berleant worked on curriculum improvements between the Technology Innovation Graduate Certificate and the MS in Information Science (MSIS) to officially permit the Technology Innovation certificate courses to be overlapped with the MSIS program, so that students can use the certificate as a stepping stone into the MSIS, or alternatively, can get a certificate along the way toward an MSIS.
  6. Dr. Carolina Cruz-Neira was honored for her pioneering work in Virtual reality during 2016-2017. She received the following accolades:
    • The Real Women of Virtual Reality: Pioneering on the new frontier, VRScout. (March 2017).
    • SPARK! Award, Museum of Discovery Little Rock. (November 2016).
    • Top 25 Innovator in virtual reality technology, VoxMedia Polygon.com Technology report. (October 2016).
    • Women in STEM: 3 of VR's Greatest Female Innovators, University Herald. (October 2016).
    • TEDx Markham Keynote Speaker, TEDxMarkham. (September 2016).
    • Visionary Arkansans 2016, Arkansas Times. (September 2016).
  7. Dr. Dirk Reiners and Dr. Carolina Cruz-Neira received the following funded research contracts for the Emerging Analytics Center.
    • Reiners, D. P. (Co-PI), Cruz Neira, C. (Co-PI), "SEEDS," Sponsored by Department of Energy, State, $12,000,000.00. (October 1, 2015 - September 20, 2020).
    • Reiners, D. P., Cruz Neira, C., Neumann, C. (Supporting), "Debrief/Replay System for US Army Fixed Wing Training," Sponsored by CAE, Private, $75,358.00. (June 2016 - February 2017).
  8. During Fall 2016, Dr. Serhan Dagtas revised IFSC 2305 Computer Systems to now include integrated wireless sensor systems as an IOT computing platform into the traditional hardware curriculum of the class.
  9. Dr. John Talburt received a new funded project, "Pioneering Health Information Technology," Sponsored by NIH Flow-Through Sub-Award from UAMS, Federal, $32,907.00. (August 16, 2016 - March 31, 2017).
  10. Dr. John Talburt received several awards for his service to the Information Quality Program at UA Little Rock.
    • Vision and Support in Founding the Information Quality Graduate Program, University of Arkansas at Little Rock, College Engineering and Information Technology. (September 30, 2016).
    • Contribution to the Certificate Program: Foundations for Chief Data Officers, University of Arkansas at Little Rock, Institute for Chief Data Officers. (September 29, 2016).
    • In Appreciation of Outstanding Contribution to the Inaugural Meeting at MIT, International Society of Chief Data Officers. (July 12, 2016).
  11. Dr. Richard Wang joined the department as Executive Managing Director
    Institute for Chief Data Officers.
  12. Mr. Thomas Wallace designed and led a girl coding camp sponsored by UA Little Rock and the EIT College (July 25-29, 2016).
  13. Dr. Phil Williams, Technical Director for the MidSouth Bioinformatics Center, assisted Arkansas Children's Hospital with system administration on their ACH computer cluster. This included adding user accounts, instillation of bioinformatics applications and general problem solving.
  14. The MidSouth Bioinformatics Center under the direction of Dr. Phil Williams partnered with Dr. Karl Walker (UA Pine Bluff) to offer a series of workshop to UA Pine Bluff students interested in developing their bio-computational skills. These workshops included Intro to Linux OS, Bash scripting for Bioinformatics, Machine Learning, Taking Advantage of Multi-CPU Systems, R and RStudio, and R in a bash pipeline.
  15. Dr. Xiaowei Xu was recognized as a "Most Influential Scholar," AMiner. (August 10, 2016) for his "outstanding and vibrant contributions to the field of Knowledge Discovery and Data Mining."
  16. Dr. Mary Yang was an invited Keynote Speaker, World Congress in Computer Science, Computing Engineering and Applied Computing. (July 27, 2016).
  17. Dr. Mary Yang's FDA grant has more than doubled in size since last year (over $120K USD this year) and is renewable next year. This has allowed her research group to hire a new postdoctoral research fellow (Dr. Renchu Guan) to join the Systems Genomics Laboratory. Her current Federal research funding is over a quarter million dollars (USD) per year.
  18. Dr. Mary Yang was elected as a Board of Director of MidSouth Computational Biology and Bioinformatics Society (MCBIOS) and gave featured talks at both AR-BIC and MCBIOS this year.
  19. Dan Li, PhD student in Bioinformatics won Best Research Poster Award at MCBIOS (March 2017).

Here is the assessment status for the following programs housed or affiliated with the Department of Information Science.

  • MS & PHD in Bioinformatics – External Review per Provost Office Guidelines. A successful review was completed during the 2015 to 2016 academic year. The next review will be in 2025-2016.
  • GC & Graduate Certificate and MS in Information Quality – External Review per Provost Office Guidelines – A successful review was completed during the 2016-2017 academic year. Improvements from this review will be implemented in the coming year. The next review is scheduled for 2026-2027.
  • PHD in Integrated Computing – External Review per Provost Office Guidelines – This program is joint between Computer and Information Science. The review will be coordinated by the Integrated Computing Steering Committee and is currently scheduled for the 2017 to 2018 academic year.
  • GC in Technology Innovation – External Review per Provost Office Guidelines – A successful review was completed during the 2016-2017 academic year. Dr. Dan Berleant coordinated this review. Improvement from this review will be implemented in the coming year. The next scheduled review is 2026-2027.
  • BS in Information Science – ABET-CAC-General Criteria – This program is accredited through Sept. 30, 2020. The self study is due July 1, 2019.
  • BS in Ecommerce – ABET or External Review per Provost Office Guidelines – This program will be reviewed under the ABET criteria along with the BS in Information Science (2019-2020 time frame).
  • BA in Web Design & Development – ABET or External Review per Guidelines – This program will be reviewed sometime in the 2022 to 2025 time frame.
  • GC & Graduate Certificate MS in Information Science – External Review per Provost Office Guidelines – This program will be reviewed some time in the 2022 to 2025 time frame.

For the 2017-2018 academic year, the Information Science Department will be working on these priorities.

  • Explore new ways to approach how we teach our students so we can be at the forefront of the new generation of more student focused, distance/time flexible, critical/creative thinking, interdisciplinary course instruction.
  • Develop a better system for assessing student outcomes across the many programs housed in the Department of Information Science.
  • Implement more 2-2 partnerships with Arkansas community colleges.
  • Partner with employers/community groups to promote more practitioner interactions with our student population.
  • Work on obtaining more externally funded research partnerships to attract and retain excellent faculty and students in our programs.

Information Science Faculty and Students produced 54 journal articles, conference papers, books, chapters, or other edited publications during 2016-2017. These publications are listed below.

  1. Kawash, J., Agarwal, N., Özyer, T. (2017). Prediction and Inference from Social Networks and Social Media, Lecture Notes in Social Networks.. Springer. http://www.springer.com/us/book/9783319510484
  2. Agarwal, N., Al-Khateeb, S., Hussain, M. (2017). Leveraging Social Network Analysis & Cyber Forensics Approaches to Study Cyber Propaganda Campaigns. Social Network and Surveillance for Society. T. Ozyer and S. Bakshi (Eds.). Lecture Notes in Social Networks. Springer.
  3. Agarwal, N. (2017). Time and Event Driven Modeling of Blogger Influence,. Encyclopedia of Social Network Analysis and Mining (ESNAM). Second edition. Alhajj, Reda; Rokne, Jon (Eds.).. Springer.
  4. Hajibagheri, A., Sukthankar, G., Lakkaraju, K., Alvari, H., Wigand, R., Agarwal, N. (2017). Using Massively Multiplayer Online Game Data to Analyze the Dynamics of Social Interactions. Social Interaction in Virtual Worlds.. Cambridge University Press.
  5. Yuce, S. T., Agarwal, N., Wigand, R. T., Lim, M., Robinson, R. S. (2016). Bridging Women Rights Networks: Analyzing Interconnected Online Collective Actions. Politics and Social Activism: Concepts, Methodologies, Tools, and Applications (pp. 551–571). IGI Global.
  6. Agarwal, N., Al-Khateeb, S., Galeano, R., Goolsby, R. (2017). Examining the Use of Botnets and their Evolution in Propaganda Dissemination. Journal of NATO Defence Strategic Communications, 2, 87-112. http://www.stratcomcoe.org/academic-journal-defence-strategic-communications-vol2
  7. Agarwal, N. (2017). Developing Collective Learning Extension for Rapidly Evolving Information System Courses. Education and Information Technologies, Special Issue on Teachers and Social Networking Sites. Alona Forkosh Baruch, Arnon Hershkovitz and Christine Greenhow (Eds.), 22(1), 7-37.
  8. Al-khateeb, S., Conlan, K. J., Agarwal, N., Baggili, I., Breitinger, F. (2016). Exploring Deviant Hacker Networks (DHN) On Social Media Platforms. Journal of Digital Forensics, Security and Law, 11(2), 7–20.
  9. Sen, F., Wigand, R., Agarwal, N., Tokdemir, S., Kasprzyk, R. (2016). Focal structures analysis: identifying influential sets of individuals in a social network. Social Network Analysis and Mining, 6(1), 1–22.
  10. Xu, K. S., Agarwal, N., Lee, D., Osgood, N. (2016). Guest Editorial on Social Computing, Behavioral-Cultural Modeling and Prediction. IEEE Transactions on Computational Social Systems, 3(2), 43–45.
  11. Saha, A., Agarwal, N. (2016). Modeling social support in autism community on social media. Network Modeling Analysis in Health Informatics and Bioinformatics, 5(1), 1–14.
  12. AL-KHATEEB, S., Agarwal, N. (2016). UNDERSTANDING STRATEGIC INFORMATION MANOEUVRES IN NETWORK MEDIA TO ADVANCE CYBER OPERATIONS: A CASE STUDY ANALYSING PRO-RUSSIAN SEPARATISTS’CYBER INFORMATION OPERATIONS IN CRIMEAN WATER CRISIS. Journal on Baltic Security, 2(1), 6.
  13. Agarwal, N. (2017). A Framework for Blog Data Collection: Challenges and Opportunities. The IARIA International Symposium on Designing, Validating, and Using Datasets (DATASETS 2017),.
  14. Agarwal, N. (2017). Blog Data Analytics Using Blogtrackers. International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2017) (Demo Track). Springer.
  15. Agarwal, N. (2017). Towards Developing Methodology to Stem the Tide of Fake News. International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2017) (Challenge Track). Springer.
  16. Agarwal, N. (2017). Analyzing the Voices during European Migrant Crisis in Blogosphere. 2nd International Workshop on Event Analytics using Social Media Data associated with The 11th International AAAI Conference on Web and Social Media (ICWSM 2017),. AAAI.
  17. Williams, T. L., Agarwal, N., Wigand, R. T. (2016). A Decade of SOUPS: An Analysis of Ingredients. International Symposium On Usable Privacy and Security (SOUPS).
  18. Agarwal, N. (2016). Analyzing Deviant behaviors on Social Media using Cyber Forensics-based Methodologies. In proceedings of the IEEE Conference on Communications and Network Security (ICNC 2016), October 17-19, Philadelphia, PA USA..
  19. Agarwal, N. (2016). Community Peer Support for Autism in Social Media. In the 36th International Sunbelt Social Network Conference (Sunbelt XXXVI) organized by the International Network for Social Network Analysis (INSNA), April 5-10, 2016, Newport Beach, California.
  20. Agarwal, N. (2016). Emotional Resiliency of Families Dealing with Autism in Social Media. In Proceedings of the Ninth International Conference on Health Informatics (HEALTHINF 2016), February 21-23, 2016, Rome, Italy.
  21. Agarwal, N. (2016). Exploring Deviant Hacker Networks (DHN) On Social Media Platforms. In proceedings of the Eighth EAI International Conference on Digital Forensics & Cyber Crime (ICDF2C 2016), September 28-30, 2016, New York City, USA.
  22. Agarwal, N. (2016). Exploring ISIL Cyber Network Activities: Evolution, Means, and Strategies. In the 36th International Sunbelt Social Network Conference (Sunbelt XXXVI) organized by the International Network for Social Network Analysis (INSNA), April 5-10, 2016, Newport Beach, California.
  23. Agarwal, N. (2016). Modeling Privacy and Trust Related Information Quality Modification in Online Social Networks. In IARIA Proceedings of the Sixth International Conference on Social Media Technologies, Communication, and Informatics (SOTICS 2016), August 21 - 25, 2016, Rome, Italy. Best Paper Award.
  24. Tokdemir, S., Agarwal, N., Wigand, R. T. (2016). Social media, spillover, and Saudi Arabian Women’s right to drive movements: Analyzing interconnected online collective actions. Advances in Social Networks Analysis and Mining (ASONAM), 2016 IEEE/ACM International Conference on (pp. 803–810).
  25. Al-khateeb, S., Agarwal, N. (2016). The rise & fall of# NoBackDoor on Twitter: The apple vs. FBI case. Advances in Social Networks Analysis and Mining (ASONAM), 2016 IEEE/ACM International Conference on (pp. 833–836).
  26. Hall, C. A., Berleant, J. D., Segall, R., Lu, S. (2017). Steps toward Quantifying Advancement in Space Exploration. Orlando, FL, July 8–11.: WMSCI.
  27. Berleant, J. D. (2016). The Delphi Method. Tomorrow's Learning Library. Teach the Future. http://library.teachthefuture.org/product/delphi-method-2/
  28. Berleant, J. D. (2016). The Human Race to the Future: Simple English Edition (pp. 40). Minden, NV: Lifeboat Foundation. https://www.amazon.com/Human-Race-Future-Simple-English-ebook/dp/B01KBAKWZ6.
  29. Pierce, E. M., Yonke, C. L., Ahmed, M. Y. (2016). The State of Information Quality and Data Governance 2016 Industry Survey & Report. IAIDQ. www.iaidq.org
  30. Pei, W., Pullen, D., Liu, F., Decker, W. C., Wu, N., Talburt, J. R. (2016). A case study on data quality, privacy, and evaluation the outcome of entity resolution processes. International Journal of Organizational and Collective Intelligence, 6(3), 1-20.
  31. Talburt, J. R., Pullen, D., Wang, P. (in press). An automated regression testing framework for a Hadoop-based entity resolution system. In R. Kenett, F. Ruggeri, & F. Faltin (Eds.), Analytic Methods in Systems and Software Testing. Wiley.
  32. Tudoreanu, M. E. (in press). Measuring Value Added: Join versus Sort Operations Applied to Visualization of Data. International Journal of Information Quality.
  33. Tudoreanu, M. E. (2016). Interface for Augmenting Spatial Orientation of Pilots via Low Cognitive Load, Peripheral Vision. Proceedings of the International Working Conference on Advanced Visual Interfaces - AVI '16. Association for Computing Machinery (ACM). http://dx.doi.org/10.1145/2909132.2909279
  34. Utecht, J., Judkins, J., Otte, J. N., Colvin Jr., T., Rogers, N., Rose, R., Alvi, M., Hicks, A., Ball, J., Bowman, S. M., Maxson, R. T., Nabaweesi, R., Pradhan, R., Sanddal, N. D., Tudoreanu, M. E., Winchell, R. J., Brochhausen, M. OOSTT: a Resource for Analyzing the Organizational Structures of Trauma Centers and Trauma Systems. Corvallis, OR:.
  35. Chen, X., Chen, X., Xu, Y., Yang, W., Wu, N., Ye, H., Yang, J. Y., Hong, Q., Xin, Y., Yang, M., Deng, Y., Duan, S. (2016). Association of six CpG-SNPs in the inflammation-related genes with coronary heart disease. Human Genomics (Impact Factor > 3), 10, 21.
  36. Dai, W., Wu, N. (2017). Profiling Essential Professional Skills of Chief Data Officers Through Topical Modeling Algorithm. Boston: AMCIS.
  37. Wang, R., Wu, N. On Data Capabilities for Acquisition Management (pp. 376).
  38. Liu, F., Wu, N. (2016). SentiLDA — an Effective and Scalable Approach to Mine Opinions of Consumer Reviews by Utilizing both Structured and Unstructured Data. Porto: International Conference on Big Data Analytics and Knowledge Discovery (DaWak 2016).
  39. Shubert, E., Ester, M., Sander, J., Kriegel, H.-P., Xu, X. (2017). DBSCAN Revisited, Revisited: Why and how you should (still) use DBSCAN. ACM Transactions on Database Systems (TODS). https://tods.acm.org.
  40. Zhao, W., Chen, G., Swamy-Martha, V., Xu, X. (2016). A Study on Scalability of Parallel Structural Clustering Algorithm for Big Data Networks. Venkat, July-October 2016(Number 237/Big Data Issue), 46-52.
  41. Chung, M.-H., Chen, G., Zhao, W., Hao, G., Pan, J., Xu, X. (2016). Discovering Multiple Social Ties for Characterization of Individuals in Online Social Networks. Proceedings of ENIC 2016: The Third European Network Intelligence Conference. IEEE. http://enic.pwr.edu.pl/conference-program/.
  42. Zhao, W., Yang, W., Zhang, H., Yang, J., Luo, X., Zhu, Y., Yang, M., Luo, C. (2016). High-throughput state-machine replication using software transactional memory. The Journal of Supercomputing (Impact Factor > 1), 72(11), 4379-4398. http://dx.doi.org/10.1007/s11227-016-1747-2.
  43. Yang, M., Elnitski, L. (2016). A Systems Biology Comparison of Ovarian Cancers Implicates Putative Somatic Driver Mutations through Protein-Protein Interaction Models. PLOS ONE (Impact Factor > 3), 11(10), e0163353. http://dx.doi.org/10.1371/journal.pone.0163353.
  44. Chen, X., Li, J., Hu, L., Yang, W., Lu, L., Jin, H., Wei, Z., Yang, J. Y., Arabnia, H. R., Liu, J. S., Yang, M., Deng, Y. (2016). The clinical significance of snail protein expression in gastric cancer: a meta-analysis. Human genomics, 10, 22.
  45. The up-regulation of Myb may help mediate EGCG inhibition effect on mouse lung adenocarcinoma, H Zhou · J Manthey · E Lioutikova ·W Yang K Yoshigoe · Mary Yang H Wang, July 2016, Human Genomics.
  46. Chen, X., Chen, X., Xu, Y., Yang, W., Wu, N., Ye, H., Yang, J. Y., Hong, Q., Xin, Y., Yang, M., Deng, Y., Duan, S. (2016). Association of six CpG-SNPs in the inflammation-related genes with coronary heart disease. Human Genomics (Impact Factor > 3), 10, 21.
  47. He et al, C., Yang, M. (2016). A hybrid iterative approach for microarray missing value estimation. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Institute of Electrical and Electronics Engineers (IEEE). http://dx.doi.org/10.1109/bibm.2016.7822714.
  48. Li et al., H., Yang, M. (2016). Comparing of feature selection and classification methods on report-based subhealth data. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Institute of Electrical and Electronics Engineers (IEEE). http://dx.doi.org/10.1109/bibm.2016.7822716.
  49. Haiqing Li, Guo-Zheng Li, William Yang, Ying Chen, Zhu, X., Yang, M. (2016). Prediction of the efficacy of Wuji Pills by machine learning methods. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Institute of Electrical and Electronics Engineers (IEEE). http://dx.doi.org/10.1109/bibm.2016.7822720.
  50. Yuan et al., J., Yang, M. (2016). Visualized analysis of incomplete TCM meridian conductance data. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Institute of Electrical and Electronics Engineers (IEEE). http://dx.doi.org/10.1109/bibm.2016.7822728.
  51. Li et al., D., Yoshigoe, K., Yang, M. (2016). An Integrative Approach Revealing the Landscape of Long Noncoding RNAs in Human Brain. IEEE CSCI Conference, Dec. 2016.
  52. Yifan Zhang et al, D. L., Yoshigoe, K., Yang, M. (2016). Building Genomics Foundation for Precision Medicine Research: A portable multitask data management system, Worldcomp July 2016 PDPTA (pp. 436-444).
  53. Yang et. al., W., Yoshigoe, K., Yang, M. (2016). IDEAS: An Online Tool to Identify Differential Expression of Genes for Applications, Worldcomp July 2016 ABDA (pp. 123-133).
  54. Yang, M. (2016). Keynote Lecture Notes:Developing Synergistic Intelligent Computing and Big Data Analytics Approaches to Facilitate Precision Medicine Research, Worldcomp July 2016 (pp. 472-3).