Elena Karahanna

Professor, Terry College of Business
C. Herman and Mary Virginia Terry Distinguished Chair Of Business Administration
UGA Distinguished Research Professor
Education:

PhD, MIS, University of Minnesota, 1993

MBA, Business Administration, Lehigh University, 1988

BS, Computer Science, Lehigh University, 1986

Research Interests:
  • Health IT
  • Conversational Agents
  • Social Bots
  • Algorithmic Coordination
  • User-Generated Content
  • IS Leadership
  • Technology Acceptance, Resistance, and Use
  • Culture
  • Conversational Agents
  • Social Bots
  • Health IT
  • Algorithmic Coordination
Selected Publications:
  • Salge, C., Karahanna, E., and Thatcher, J. “Algorithmic Processes of Social Alertness and Social Transmission: How Bots Disseminate Information on Twitter,” forthcoming at MIS Quarterly.
  • Wang, C., Zhang, N., Karahanna, E., and Xu, Y. “Conceptualizing Online Social Networking Privacy Concerns,” forthcoming at the MIS Quarterly.
  • Bardhan, I., Chen, H., and Karahanna, E. “Connecting Systems, Data, and People: A Multidisciplinary Research Roadmap for Chronic Disease Management,” MIS Quarterly, 44:1, March 2020, pp. 185-200.
  • Thomaz, F., Salge, C., Karahanna, E., & Hulland, J. “Learning From the Dark Web: Leveraging Conversational Agents in the Era Of Hyper-Privacy to Enhance Marketing,” Journal of the Academy of Marketing Science, 48:1, January 2020, pp. 43-63.
  • Grewal, D., Hulland, J., Kopalle P.K., Karahanna E. “The Future of Technology and Marketing: A Multidisciplinary Perspective,” Journal of the Academy of Marketing Science, 48:1, January 2020, pp. 1-8 https://doi.org/10.1007/s11747-019-00711-4 
  • Claggett, J.L. and Karahanna, E. Unpacking the Structure of Coordination Mechanisms and the Role of Relational Coordination in an Era of Digitally-Mediated Work Processes. Academy Of Management Review, 43:4, 2018, pp. 704-722. 
  • Karahanna, E., Liu, B., Serrano, C. and Chen, A. Capitalizing on Heath Information Technology to Enable Digital Advantage in US Hospitals. MIS Quarterly, 43:1, March 2019, pp. 113-140. 
  • Karahanna, E., Benbasat I., Bapna, R., and Rai, A. “Editor’s Comments: Opportunities and Challenges for Different Types of Online Experiments,” MIS Quarterly, 42:4, December 2018, pp. iii-x.
  • Chen, A. and Karahanna, E. Life Interrupted: Examining the Effects of Work-Related Technology-Mediated Interruptions on Work and Life Outcomes. MIS Quarterly, 42:4, December 2018, pp. 1023-1042. 
  • Karahanna, E., Xu, S., Zhang, A., Xu, Y. The Needs-Affordances-Features (NAF) Perspective for the Use of Social Media. MIS Quarterly, 42:3, September 2018, pp. 737-756.
  • Salge, C. and Karahanna, E. 2018. Protesting Corruption on Twitter: Is it a Bot or is it a Person?. Academy of Management Discoveries,4(1):32-49. 
  • Liu, Q. and Karahanna, E. 2017. The Dark Side of Reviews: The Swaying Effects of Online Product Reviews on Attribute Preferences Construction. MIS Quarterly, 41(2):427-448. 
  • Serrano, C. and Karahanna, E. 2016. The Compensatory Role of User Capabilities in Task Performance Outcomes: An Empirical Assessment in Technology-Mediated Medical Consultations. MIS Quarterly, 40(3):597-622. 
  • Rigdon, E.E., Becker, JM, Rai, A., Ringle, C.M., Diamantopoulos, A., Karahanna, E., Straub, D.W., and Dijkstra, T.K. 2014. Conflating Antecedents and Formative Indicators: A Comment on Aguirre-Urreta and Marakas. Information Systems Research , 25(4):780-784. 
  • Dawson, G., Karahanna E., and Buchholz, A. 2014. A Study on Psychological Contract Breach Spillover in Multiple Agency Relationships in Consulting Professional Service Firms. Organization Science, 25(1):149-170. 
  • Karahanna, E. and Preston, D. 2013. The Effect of Social Capital of the Relationship between the CIO and Top Management Team on Firm Performance. Journal Of Management Information Systems ,30(1):15-55. 
  • Williams, C. and Karahanna, E. 2013. Causal Explanation in the Coordinating Process: A Critical Realist Case Study of Federated IT Governance Structures. MIS Quarterly, 37(3):933-964. 
  • Polites, G. and Karahanna, E. 2013. The Embeddedness of IS Habits in Organizational Routines: Development and Disruption. MIS Quarterly, 37(1):221-246. 
  • Polites, G. and Karahanna, E. 2012 . Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance. MIS Quarterly, 36(1):21-42 **MIS Quarterly 2012 Best Paper Award **. 
  • Preston, D. and Karahanna, E. 2009. Antecedents of IS Strategic Alignment: A Nomological Network. Information Systems Research, 20(2):159-179. 
  • Choudhury, V. and Karahanna, E. 2008. The Relative Advantage of Electronic Channels: A Multi-Dimensional View. MIS Quarterly, 32(1):179-2000. 
  • Karahanna, E., Agarwal, R. and Angst, C. 2006. Reconceptualizing Compatibility Beliefs in Technology Acceptance. MIS Quarterly, 30(4):781-804. 
  • Srite, M. and Karahanna, E. 2006. The Role of Espoused National Cultural Values in Technology Acceptance. MIS Quarterly, 30(3):679-704. 
  • Gefen, D., Karahanna, E., and Straub D.W. 2003. Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1):51-90. 
  • Agarwal, R. and Karahanna, E. 2000. Time Flies When You Have Fun: Cognitive Absorption and Beliefs about Information Technology Usage. MIS Quarterly, 24(4):665-694. 
  • Karahanna, E., Straub, D.W., and Chervany, N.L. 1999. Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs. MIS Quarterly, 23(2):183-213. 
  • Straub, D.W. and Karahanna, E. 1998. Knowledge Worker Communications and Recipient Availability: Toward a Task Closure Explanation of Media Choice. Organization Science, 9(2):1-16. 
  • Straub, D.W., Limayem, M. and Karahanna, E. 1995. Measuring System Usage: Implications for IS Theory Testing. Management Science, 41(8):1328-1342

John Hale

Arch Professor of World Languages, Department of Linguistics

I joined UGA's fantastic Linguistics Department in Fall 2018 after a stint as a full-time research scientist at Deepmind. My work centers on language comprehension -- how are we able to understand one another, just by hearing a sequence of words, one by one?  I have sought to answer this question through cognitive modeling -- analyzing the human mind via computer simulation. For more on this line of research, check out this book-length monograph.

Education:

PhD (Cognitive Science) Johns Hopkins University 2003

ScB (Cognitive Science) Brown University 1998

Research Interests:

Computational Linguistics

Corpus Methods

Selected Publications:

our exciting new data paper!!!! ➝ The Alice Datasets: fMRI & EEG Observations of Natural Language Comprehension. with Shohini Bhattasali, Jonathan Brennan, Wen-Ming Luh, Berta Franzluebbers. preprint accepted at LREC2020.

Text Genre and Training Data Size in Human-like Parsing. With Adhiguna Kuncoro, Keith Hall, Chris Dyer & Jonathan Brennan. Proceedings of EMNLP 2019. poster.

Finding Syntax in Human Encephalography with Beam Search. With Chris Dyer, Adhiguna Kuncoro and Jonathan R. Brennan.  Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics. Note: received Best Paper award.

Localising Memory Retrieval and Syntactic Composition: an fMRI study of naturalistic language comprehension. With Shohini Bhattasali, Murielle Fabre, Wen-Ming Luh, Hazem Al Saied, Mathieu Constant, Christophe Pallier, Jonathan R. Brennan and R. Nathan Spreng. To appear in a special issue of Language, Cognition & Neuroscience devoted to Natural Spoken Story Comprehension edited by Katerina D. Kandylaki.

 

 

Jennifer Gay

Associate Professor, College of Public Health
Education:

PhD, Health Promotion, Education and Behavior, University of South Carolina Arnold School of Public Health, 2008

MSc, Sport and Leisure Services, University of Nevada Las Vegas, 2002

BA, English, University of South Carolina, 2001

Research Interests:

Dr. Jennifer Gay conducts research in the area of physical activity and public health. More specifically her interests include how built environment and social contexts influence physical activity in children, adolescents and adults. Since joining the University of Georgia, Dr. Gay has focused primarily on the health benefits of occupational physical activity and how to increase time spent in activity during work hours. Her secondary areas of interest include growth and maturation as indicators of decreases in physical activity, measurement and methodological issues in physical activity research, and program evaluation.

Selected Publications:

Gay JL, Buchner DM, Schmidt MD. (2016). Dose-response association between physical activity and HbA1c: Examining intensity and bout length. Preventive Medicine, 86, 58-63.

Gay JL, Robb SW, Benson KM, & White A. (2016). Can the social vulnerability index be used for more than emergency preparedness? An examination using youth fitness data. Journal of Physical Activity and Health, 13(2), 121-130.

Gay JL, Monsma EV, & Hein K. (Accepted). Weight Management Behaviors among Mexican American Youth: Cross-Sectional Variation by Timing of Growth and Maturation. American Journal of Health Promotion.

Gay JL & Buchner DM. (2014). Ethnic disparities in objectively measured physical activity may be due to occupational activity. Preventive Medicine, 63, 58-62.

Mark Ebell

Professor, School of Public Health

Dr. Mark H. Ebell is a graduate of the University of Michigan’s Medical School, Family Medicine Residency, and School of Public Health. He is currently a Professor in the Department of Epidemiology and Biostatistics in the College of Public Health at the University of Georgia. Dr. Ebell is Editor-in-Chief of Essential Evidence and Deputy Editor of the journal American Family Physician. He is the author of over 500 peer-reviewed articles and is the author or editor of eight books, with a focus on evidence-based practice, respiratory infections, and clinical decision-making. Dr. Ebell served on the US Preventive Services Task Force from 2012 to 2015, and in 2019 was a Fulbright Scholar at the Royal College of Surgeons in Dublin, Ireland

Education:

M.S., University of Michigan School of Public Health, 1995, Clinical Research Design and Statistical Analysis

Residency, University of Michigan Medical Center, 1990, Family Medicine

M.D., University of Michigan Medical School, 1987, Medicine

B.A., Kalamazoo College, 1983, Biology

Research Interests:

Evidence-based medicine, clinical decision-making, acute respiratory infections, cancer screening, end-of-life decision-making, systematic reviews and meta-analyses, and development and validation of clinical prediction rules.

Selected Publications:

Selected from over 500 peer-reviewed publications:

1. Ebell MH, Chupp C, Bentivegna M. A high proportion of SARS-CoV-2-infected university students are asymptomatic. J Fam Pract. 2020;69(9):428-429. PMID: 33176345.

2. Ebell, M. H., Fahey, T., Murphy, M. E., Barry, A., Barry, H., & Hickner, J. An updated and more efficient search strategy to identify primary care-relevant clinical prediction rules. J Clin Epidemiol 2020; 125: 26-29. doi:10.1016/j.jclinepi.2020.05.013

3. Ebell, M. H., Chupp, H., Cai, X., Bentivegna, M., & Kearney, M. Accuracy of Signs and Symptoms for the Diagnosis of Community-acquired Pneumonia: A Meta-analysis. Acad Emerg Med 2020; 27(7): 542-553. doi:10.1111/acem.13965

4. Ebell, M. H., Bentivegna, M., Cai, X., Hulme, C., & Kearney, M. Accuracy of Biomarkers for the Diagnosis of Adult Community-acquired Pneumonia: A Meta-analysis. Acad Emerg Med 2020; 27(3): 195-206. doi:10.1111/acem.13889

5. Moriarty, F., & Ebell, M. H. A comparison of contemporary versus older studies of aspirin for primary prevention.. Fam Pract 2020; 37(3): 290-296. doi:10.1093/fampra/cmz080

6. Thuy, N. T., & Ebell, M. H. Prospective validation of the Good Outcome Following Attempted Resuscitation (GO-FAR) score for in-hospital cardiac arrest prognosis. Resuscitation 2019; 140: 2-8. doi:10.1016/j.resuscitation.2019.05.002

7. Ebell, M. H., McKay, B., Dale, A., Guilbault, R., & Ermias, Y. Accuracy of Signs and Symptoms for the Diagnosis of Acute Rhinosinusitis and Acute Bacterial Rhinosinusitis. Ann Fam Med 2019; 17(2): 164-172. doi:10.1370/afm.2354

8. Marchello, C. S., Ebell, M. H., Dale, A. P., Harvill, E. T., Shen, Y., & Whalen, C. C. Signs and Symptoms That Rule out Community-Acquired Pneumonia in Outpatient Adults: A Systematic Review and Meta-Analysis. J. Am Board Fam Med 2019; 32(2): 234-247. doi:10.3122/jabfm.2019.02.180219

9. Dale, A. P., Ebell, M., McKay, B., Handel, A., Forehand, R., & Dobbin, K. Impact of a Rapid Point of Care Test for Influenza on Guideline Consistent Care and Antibiotic Use. J Am Board Fam Med 2019; 32(2): 226-233. doi:10.3122/jabfm.2019.02.180183

10. Ebell, M. H., Thai, T. N., & Royalty, K. J. Cancer screening recommendations: an international comparison of high income countries. Pub Health Rev 2018; 39(1). doi:10.1186/s40985-018-0080-0

11. Ebell MH, Locatelli I, Senn N. A novel approach to the determination of clinical decision thresholds. Evid Based Med. 2015 Mar 3. pii: ebmed-2014-110140. doi: 10.1136/ebmed-2014-110140. [Epub ahead of print]

12. Ebell MH, Shinholser J. What are the Most Clinically Useful Cut-offs for the Alvarado and Pediatric Appendicitis Scores? A Systematic Review. Ann Emerg Med 2014; 10.1016/j.annemergmed.2014.02.025

13. Ebell MH, Jang W, Shen Y, Geocadin RG; Get With the Guidelines–Resuscitation Investigators. Development and validation of the Good Outcome Following Attempted Resuscitation (GO-FAR) score to predict neurologically intact survival after in-hospital cardiopulmonary resuscitation. JAMA Intern Med. 2013 Nov 11;173(20):1872-8.

14. Ebell MH, Afonso AM, Gonzales R, et al. Development and Validation of a Clinical Decision Rule for the Diagnosis of Influenza. J Am Board Fam Med 2012; 25(1): 55-62

15. Ebell MH, Siwek J, Weiss BD, Woolf SH, Susman J, Ewigman B, Bowman M. Strength of recommendation taxonomy (SORT): a patient-centered approach to grading evidence in the medical literature. Am Fam Physician. 2004 Feb 1;69(3):548-56.

Prashant Doshi

Professor, School of Computing
Education:

PhD (Computer Science), The University of Illinois at Chicago, 2005

MSc (Computer Science), Drexel University, 2001

 

Research Interests:

Research Areas:

Artificial Intelligence

Robotics

Computational Intelligence

Semantic Web and Semantic Web Processes

Bioinformatics and Health Informatics

Research Interests:

Research Focus:

Artificial intelligence & Robotics

Decision-Making under Uncertainty, Multi-Agent Systems

Reinforcement Learning, Learning from demonstrations

Chris Cieszewski

Professor, Fiber Supply Assessment, Warnell School of Forestry & Natural Resources
Education:

Ph.D., "Growth & Yield Modelling", University of Alberta, 1994.



M.Sc., "Forestry Modelling", U.B.C. Vancouver, 1989.



For. Eng., M.F., "OR", Warsaw Agriculture Academy, 1983.

Research Interests:

Area of Speciality:

Forest Management

Biometrics

Inventory

Planning and Harvest Scheduling

Sustainability Analysis

Spatial Information Technology

Geographic Information Systems

Remote Sensing

Pete Bettinger

Professor, Landscape Planning and Harvest Scheduling
Leon "Buddy" Hargreaves Jr. Distinguished Professorship in Forest Management

Author of four books published by Academic Press, Mapping Human and Natural Systems, Forest Management and Planning, Introduction to Forestry and Natural Resources, and Forest Plans of North America, Pete Bettinger is Hargreaves Distinguished Professor of Forest Management at the University of Georgia. He was honored with the Carl Alwin Schenck award for outstanding performance in the field of forestry education by the Society of American Foresters in 2020.

Dr. Bettinger is Coordinator for IUFRO Division 4.04.00 (Forest management planning). He is a member of the editorial boards of Forest Science, Forests, Journal of Sustainable Forestry, Journal of Forest Planning, European Journal of Forest Engineering, and Mathematical and Computational Forestry & Natural-Resource Sciences. In 2009, he was presented the Award of Excellence for Research and Development by the Southeastern Division of the Society of American Foresters. In 2016, he was presented the Creative Research Medal by the University of Georgia. In 2018, he was selected as a Fellow in the Society of American Foresters.

Dr. Bettinger teaches courses on Forest Planning, Forest Measurements, Introduction to Forestry, and Aerial Photogrammetry. He conducts research in applied forest management with particular emphasis on harvest scheduling, landscape planning, precision forestry, and geospatial technologies. Dr. Bettinger received Bachelors and Masters degrees in forestry from Virginia Tech, and a PhD in forest resources from Oregon State University.

Dr. Bettinger worked for the forest industry in the southern and western United States, and maintains this connection to forestry professionals through his leadership in the Southern Forestry and Natural Resource Management GIS Conference and other continuing education courses he offers. Thus far in his career, Dr. Bettinger has published over 140 peer-reviewed journal articles.

Education:

PhD, Oregon State University

MS, Virginia Polytechnic Institute and State University

BS, Virginia Polytechnic Institute and State University

Budak Arpinar

Associate Professor, School of Computing
Education:

PhD    1998    Middle East Technical University (METU), Department of Computer Engineering
MSc    1993    Middle East Technical University (METU), Department of Computer Engineering
BSc    1991    Middle East Technical University (METU), Department of Computer Engineering

Of note:

My current research interests include semantic web, crowdsourcing and collective intelligence, information fusion, and biomedical informatics. My research focuses on developing new semantic-based techniques for providing better information integration, search, and knowledge discovery experiences for web users. This research direction is critical for building the next generation of web, called semantic web.

Jason Anastasopoulos

Assistant Professor of Political Science, School of Public & International Affairs
Assistant Professor of Public Administration and Policy, School of Public and International Affairs
Adjunct Professor in the Department of Statistics

His work has been published at the  American Political Science Review, Political Analysis, the Public Administration Review, the Journal of Public Administration Research and Theory, Electoral Studies and  American Politics Research.

He has received several awards and grants for his solo-authored and co-authored work including the John L. Knight Foundation Freedom of the Press Award, the Institute for Humane Studies Hayek Fund Scholarship, the APSA Paul A. Volcker Junior Scholar Research Grant, a Facebook Integrity Research Grant, and a Peter G. Peterson Foundation U.S. 2050 Grant.

Dr. Anastasopoulos has held visiting appointments at Princeton, Emory, UC Berkeley and Harvard.

Education:

Ph.D., University of California, Berkeley (Political Science) 2014

Awards: National Science Foundation IGERT Fellowship, Berkeley Empirical Legal Studies Fellowship. M.A., University of California, Berkeley (Political Science) 2010

M.A., Harvard University (Statistics) 2005

B.S., Cornell University (Industrial and Labor Relations) 2003

Of note:

LATEST RESEARCH

“Behavioral artificial intelligence and administrative decision-making.” Jason Anastasopoulos. Working paper.

“Rawls in the Machine: Algorithmic Bias Under the Veil of Ignorance.” Jason Anastasopoulos. Working paper.

“Ethical Issues in Decision-making and Governing with Artificial Intelligence.” Jason Anastasopoulos and Andrew Whitford. Working paper.

“Why you shouldn’t use deep learning (unless you really have to).” Jason Anastasopoulos. Working paper.

“Principled estimation of regression discontinuity designs.” Jason Anastasopoulos. Working paper.

“Racial Justice, Representation and Algorithmic Bias.” Jason Anastasopoulos, Micah Gell-Redman and Andrew B. Whitford. Working paper.

Personal Website:
Personal Website
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