Virginia and Choc Hutcheson Endowed Professor
College of Media & Communication
Texas Tech University, Lubbock, Texas, USA
KERK F. KEE, PH.D.
Kerk's research focuses on the diffusion of innovations (i.e., collaborative cyberinfrastructure, social media, health interventions, water conservation behaviors) across organizational, scientific, health, environmental, entrepreneurial, and big data contexts.
Kerk F. Kee (Ph.D., 2010, The University of Texas at Austin) is the Virginia & Choc Hutcheson Professor in Mass Communication at Texas Tech University. He is a communication researcher and an interdisciplinary social scientist of innovation diffusion. His organizational communication research investigates the development, adoption, implementation, and the ultimate diffusion of big data technologies in scientific organizations. He also studies the dissemination of health information in cultural communities and the spread of pro-environmental attitude in modern societies. His emerging research is moving towards studying innovations in entrepreneurial startups, natural disaster management, creative industries, and smart cities. His research has been funded by the US National Science Foundation (NSF), the Bill & Melinda Gates Foundation, and the Robert Wood Johnson Foundation, totaling over US$12M (collaborative) to date. He received a prestigious NSF CAREER grant (2015), awarded by the Office of Advanced Cyberinfrastructure under NSF's Computer & Information Science & Engineering Directorate. According to Google Scholar Citations in September 2023, his research has been cited more than 7,350 times.
* indicates undergraduate student at time research was conducted
** indicates graduate student at time research was conducted
66. Li, W., Xu, S., Yomamoto, M. & Kee, K. F. (forthcoming). Interactive mediated contact on social media: Mechanisms and effects on attitudes toward Ukrainian refugees. Computers in Human Behavior.
65. Kee, K. F., & Dearing, J. W. (forthcoming). Diffusion. In V. D. Miller & M. S. Poole (Eds.), Handbook of Organizational Communication Theory and Research. Berlin, Germany: De Gruyter.
64. Dearing, J. W., Kee, K. F., & Peng, T. W. (2023). Historical roots of dissemination science. In Brownson, R. Colditz, G. & Proctor, E. (Eds.), Dissemination and implementation research in health: Translating science to practice (3rd ed). Oxford: Oxford University Press.
63. Xu, S., Kee, K. F., Li, W., Yomamoto, M. & Riggs**, R. (2023). Examining the diffusion of innovations from a dynamic, differential-effects perspective: A longitudinal study of AI adoption among employees. Communication Research.
62. Hayes**, C., Kulkarni**, C., & Kee, K. F. (2023). The situational window for boundary-spanning infrastructure professions: Making sense of cyberinfrastructure emergence. Journal of Professions and Organization. https://doi.org/10.1093/jpo/joad007 [Oxford University Press, IF: 2.2]. [PDF]
61. Olshansky**, A., Hayes**, C., & Kee, K. F. (2023). The characteristics of influencers and opinion leaders of science gateways and cyberinfrastructure for innovation diffusion. Computing in Science and Engineering. 10.1109/MCSE.2023.3276905 [IEEE Computer Society, 2020 IF: 2.152] [PDF]
60. Kee, K. F., Hayes, C., Gesing, S., Rugg, A., Bradley, S., Brandt, S., Meyers, N., Johnson, R. P., & Dombrowski, Q. (2023). Science gateways and the humanities: An exploratory study of their rare relationship. Computing in Science and Engineering. 10.1109/MCSE.2023.3272332 [IEEE Computer Society, 2020 IF: 2.152] [PDF]
59. Mao**, C., Xu, S., & Kee, K. F. (2023). What influence virtual workers’ communication intentions?: Exploring the roles of network inertia and media affordance. The Social Science Journal. https://doi.org/10.1080/03623319.2023.2189394 [Taylor & Francis Company, IF: 2.494, 5-Year IF: 2.498] [PDF]
58. Shin, D., Kee, K. F., & Shin*, E. (2023). The nudging effect of accuracy alerts for combating the diffusion of misinformation. Journal of Broadcasting & Electronic Media. https://doi.org/10.1080/08838151.2023.2175830 [Taylor & Francis Company, IF: 2.441, 5-Year IF: 4.034] [PDF]
57. Okunloye**, O., Kee, K. F., Cummins, R. G., & Zhang, W. (2023). The linguistic and message features driving information diffusion on Twitter: The case of #RevolutionNow in Nigeria. International Journal of Communication. 17, 1695-1716. https://ijoc.org/index.php/ijoc/article/view/19240/4074[PDF]
56. Gesing, S., Pierce, M., Marru, S., Zentner, M., Huff, K., Bradley, S., Cleveland, S. B., Brandt, S. R., Ramnath, R., Kee, K., Dahan, M., Martinez, B. M. V., Sepulveda, W., C., & Mondragon, J. J. S. (2023). Science gateways and AI/ML: How can gateway concepts and solutions meet the needs in data science? In A. Di Pietro, & J. Marti (Eds.), Critical infrastructure – Modern approach and new development. IntechOpen. DOI: 10.5772/intechopen.110144. [PDF]
55. Kee, K. F. (2023). From little pieces of colored glass to a stained-glass window: Understanding cyberinfrastructure emergence. In F. Soelberg, L. Browning, J-O Sørnes, & F. Lindberg (Eds.). Transformative learning: Autoethnographies of doing qualitative research. Palgrave Macmillan, London.
54. Starkey**, J. C., Koerber, A., Cummins, R. G., Ardon-Dryer, K., Eko, L., Kee, K. F. (2022). Challenges and threats to quality in scholarly knowledge production: Views of selected stakeholders from 17 countries. Discover Education . https://doi.org/10.21203/rs.3.rs-1303561/v1. [Springer]. [PDF]
53. Oruche**, R., Milman**, E., Lemus**, M., Cheng**, X., Pandey**, A., Wang, S., Calyam, P., & Kee, K. (2022). Science gateway adoption using plug-in middleware for evidence-based healthcare data management. Concurrency and Computation: Practice and Experience. [Wiley Publishing Company, IF: 1.536] [PDF]
52. Robertson, B. W., & Kee, K. F. (2022). Technology and health outcomes. In E. Ho, C. Bylund, & J. van Weert (Eds)., The International Encyclopedia of Health Communication. Wiley.
51. Kee, K. F. (2022). The perpetually conditional citizens. In L. Browning, J-O Sørnes, & P. J. Svenkerud (Eds.), Organizational communication in the time of coronavirus: Ethnographies and the future of work. Palgrave Macmillan, London.
50. Kee, K. F., Olshansky**, A., & Xu, S. (2022). An organizational framework of institutional stakeholder engagement for capacity to support big data science teams towards cyberinfrastructure diffusion. Proceedings of the 2022 IEEE International Conference on Big Data, 17-20 December 2022, Osaka, Japan. Washington, DC: IEEE. Doi: https://ieeexplore.ieee.org/document/10020213 [PDF]
49. Olshansky**, A., Hayes**, C., Kulkarni**, C., & Kee, K. F. (2022). Designing a gateway influencer recruitment plan to accelerate adoption and diffusion. Proceedings of the Gateways 2022 Conference, 18-20 October 2022, San Diego, California. Doi: https://doi.org/10.5281/zenodo.7199401 [PDF]
48. Kee, K. F., Gesing, S., Rugg, A., Bradley, S., Brandt, S. R., Meyers, N. K., & Dombrowski, Q. (2022). Science gateways and humanities is a promising partnership: Why is it so rare? Proceedings of the Gateways 2022 Conference, 18-20 October 2022, San Diego, California. Doi: https://doi.org/10.5281/zenodo.7093664 [PDF]
47. Chaudhry, S., Pazouki, A., Schmitz, P., Hillery, E., Kee, K. (2022, July). Understanding factors that influence research computing and data careers. Proceedings of the 2022 Practice & Experience in Advanced Research Computing (PEARC22) Conference. https://doi.org/10.1145/3491418.3530292 [PDF] [Extended data and graphs]
* Received the Best Paper Award 2022 in the Workforce Development, Training, Diversity and Education Track
* Received the Phil Andrews Award 2022 (selected from PEARC’s best full papers and deemed the most impactful in the practice of research computing).
46. Oruche**, R., Milman**, E., Cheng**, X., Joish*, M., Sharma*, A., Kulkarni**, C., Kee, K., Regunath, H., Calyam, P. (2021). Measurement of utility in user access of COVID-19 literature via AI-powered chatbot. Proceedings of 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR, Virtual Conference), 12-14 October 2021. Washington, DC: IEEE. 10.1109/AIPR52630.2021.9762160 [PDF]
45. Kee, K. F., Olshansky**, A., & Xu, S. (2021). A socio-technical framework for measuring organizational capacity during cyberinfrastructure diffusion. Proceedings of the 2021 IEEE International Conference on Big Data (Virtual Conference), 15-18 December 2021. Washington, DC: IEEE. https://doi.org/10.1109/BigData52589.2021.9672004 [PDF]
44. Shin, D., Kee, K. F., Shin*, E. Y. (2022). Algorithm awareness: Why user awareness is critical for personal privacy in the adoption of algorithmic platforms? International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2022.102494. [Elsevier, IF: 14.098] [PDF]
43. Xu, S., Kee, K. F., & Chang**, M. (2021). Multitasking and work-life balance: Explicating multitasking when working from home. Journal of Broadcasting & Electronic Media. https://doi.org/10.1080/08838151.2021.1976779 [Taylor & Francis Company] [PDF]
42. Kee, K. F., Calyam, P., & Regunath, H. (2021). The role of Vidura chatbot in the diffusion of KnowCOVID-19 gateway. Human-Machine Communication. [PDF]
41. Gesing, S., Brandt, S., Bradley, S., Potkewiz, M., Kee, K. F., Whysel, N., Perri, M., Cleveland, S., Rugg,
A., & Smith, J. (2021). A Vision for Science Gateways: Bridging the Gap and Broadening Outreach. Practice & Experience in Advanced Research Computing (PEARC) 2021 Conference Proceedings (Virtual Conference). https://doi.org/10.1145/3437359.3465579 [PDF]
40. Olshansky**, A., Hayes**, C., Kulkarni**, C., & Kee, K. (2021). The characteristics of influencers and opinion leaders of science gateways and cyberinfrastructure. Proceedings of Science Gateways 2021 (Virtual Conference), 19-21 October 2021, doi.org/10.5281/zenodo.5570267. [PDF]
39. Kee, K.F., Le**, B., & Jitkajornwanich, K. (2021). If you build it, promote it, and they trust you, then they will come: Diffusion strategies for science gateways and cyberinfrastructure adoption to harness big data in the STEM community. Concurrency and Computation: Practice and Experience. https://doi.org/10.1002/cpe.6192. [PDF]
38. Droog**, E. F., Burgers, C. F., & Kee, K. F. (2020). Metaphors in cyberinfrastructure: Making sense of complex technologies. Public Understanding of Science. https://doi.org/10.1177/0963662520952542. [PDF]
37. Kim, D. K. D., Kee, K. F., & Dearing, J. W. (2020). Applying the communication theory of Diffusion of Innovations to economic sciences: A response to the ‘Using gossips to spread information’ experiments conducted by the 2019 Noel Laureates. Journal of Applied Communication Research, 48, 158-165. https://doi.org/10.1080/00909882.2020.1734226. [PDF]
36. Koerber, A., Starkey**, J. C., Ardon-Dryer, K., Cummins, R. G., Eko, L., & Kee, K. F. (2020). A qualitative content analysis of watchlists vs safelists: How do they address the issue of predatory publishing? The Journal of Academic Librarianship, 46, https://doi.org/10.1016/j.acalib.2020.102236. [PDF]
35. Stephens, K. K., & Kee, K. F. (2020). Technology and organizational communication. In A. M. Nicotera (Ed.), Organizational communication: A comprehensive introduction to the field. Routledge. [PDF]
34. Le**, B., Escalera**, F., Jitkajornwanich, K., & Kee, K. F. (2019). External communication to diffuse science gateways and cyberinfrastructure as innovations for research with big data. Science Gateways 2019. https://osf.io/meetings/gateways2019/. DOI 10.17605/OSF.IO/MZ8BV. [PDF]
33. Liang, Y., Lee, S. A., & Kee, K. F. (2019). The adoption of collaborative robots toward ubiquitous diffusion: A research agenda. Paper presented at the 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2019) Workshop, Daegu, South Korea. [PDF]
32. Pongto*, R., Wiwattanaphon*, N., Lekpong*, P., Lawawirojwong*, S., Srisonphan*, S., Kee, K. F., & Jitkajornwanich, K. (2019). The grid-based spatial ARIMA model: An innovation for short-term prediction of ocean current Patterns with big HF radar data. Proceedings of the 15th International Conference on Computing and Information Technology (IC2IT 2019), Bangkok, Thailand. IC2IT 2019 Proceedings to be included in Recent Advances in Information and Communication Technology 2019, Springer. (ISSN: 2194-5357) [PDF]
31. Matei, S. A., & Kee, K. F. (2019). Computational communication research. WIREs: Data Mining and Knowledge Discovery . DOI: 10.1002/widm.1304. [PDF]
30. Kee, K. F., & Schrock, A. R. (2019, Online First 2018). Best social and organizational practices of successful science gateways and cyberinfrastructure projects. Future Generation Computer Systems, 94, 795-801. https://doi.org/10.1016/j.future.2018.04.063. [PDF]
29. Kee, K. F., & Schrock. A. R. (2019). Telephone interviewing as a qualitative methodology for researching cyberinfrastructure and virtual organizations. In J. Hunsinger, L. Klastrup, & M. Allen (Eds.), Second international handbook of internet research. Springer Netherlands. DOI: https://doi.org/10.1007/978-94-024-1202-4_52-1. [PDF]
28. Kee, K. F., & McCain**, J. C. (2018). What is good feedback in big data projects for cyberinfrastructure diffusion in e-science? Proceedings of the 2018 IEEE International Conference on Big Data, Seattle, WA, 10-13 December (pp. 2804-2812). New York: Springer. DOI: 10.1109/BigData.2018.8622573. [PDF]
27. Chandrashekara**, A. A., Talluri**, A. K. M., Mitra, R., Calyam, P., Kee, K. F., & Nair, S. (2018). Fuzzy-based conversational recommender for data intensive science gateway applications. Proceedings of the 2018 IEEE International Conference on Big Data (pp. 4870-4875). New York: Springer. DOI: 10.1109/BigData.2018.8622046 [PDF]
26. Liang, Y. J., Kee, K. F., Henderson*, L. (2018). Towards a message-, individual-, and social-based model of environmental communication: Advancing theories of reactance and planned behavior in a water conservation context. Journal of Applied Communication Research, 46, 135-154. https://doi.org/10.1080/00909882.2018.1437924 [LEAD ARTICLE] [2017 Impact Factor: 1.000] [PDF]
25. Liang, Y. J., Henderson*, L., Kee, K. F. (2018; Online First 2017). Running out of water! Developing a message typology and evaluating message effects on attitude toward water conservation. Environmental Communication, 12, 541-557. DOI: http://dx.doi.org/10.1080/17524032.2017.1288648. [PDF]
24. Liang, Y. J., & Kee, K. F. (2018; Online First 2016). Developing and validating the A-B-C framework of information diffusion on social media. New Media & Society, 20, 272-292. DOI: 10.1177/1461444816661552. [PDF]
23. Kee, K. F. (2017). The 10 adoption drivers of open source software that enable e-research in data factories for open innovation. In S. Matei, N. Julien, & S. Goggins (Eds.), Big data factories: Collaborative approaches (pp. 51-65). Springer. DOI: https://doi.org/10.1007/978-3-319-59186-5_5. [PDF]
22. Dearing, J. W., Kee, K. F., & Peng, T. W. (2017). Historical roots of dissemination science. In Brownson, R. Colditz, G. & Proctor, E. (Eds.), Dissemination and implementation research in health: Translating science to practice (2nd ed) (pp. 47-61). Oxford: Oxford University Press. [PDF]
21. Robertson*, B. W., & Kee, K. F. (2017). Social media at work: The roles of job satisfaction, employment status, and Facebook use with co-workers. Computers in Human Behavior. http://dx.doi.org/10.1016/j.chb.2016.12.080 [PDF]
20. Kee, K. F. (2017). Organizational attributes of successful science gateways and cyberinfrastructure projects. Proceedings of Gateways 2016: The 11th Gateway Computing Environments Conference. K. Lawrence, N. Wilkins-Diehr, and S. Gesing, Eds. figshare. https://doi.org/10.6084/m9.figshare.4494158.v2, Retrieved: 14 25, Feb 28, 2017 (GMT). [PDF]
19. Kee, K. F. (2017). Adoption and diffusion. In C. Scott, & L. Lewis (Eds.), International encyclopedia of organizational communication. Hoboken, NJ: Wiley-Blackwell. [PDF]
18. Hanna*, B., Kee, K. F., & Robertson*, B. W. (2017). Positive impacts of social media at work: Job satisfaction, job calling, and Facebook use among co-workers. In B. Mohamad, & H. Abu Bakar (Eds.), International Conference on Communication and Media: An International Communication Association Regional Conference (i-COME’16). SHS Web of Conferences 33. http://dx.doi.org/10.1051/shsconf/20173300012. [TOP PAPER AWARD] [PDF]
17. Kee, K. F., Sleiman**, M., Williams**, M., & Stewart**, D. (2016). The 10 attributes that drive adoption and diffusion of computational tools in e-science. In P. Navrátil, M. Dahan, D. Hart, A. Romanella, & N. Sukhija (Eds.), Proceedings of the 2016 XSEDE (Extreme Science & Engineering Discovery Environmental) Conference. New York: ACM. DOI: http://dx.doi.org/10.1145/2949550.2949649 [PDF]
16. Kee, K. F., Sparks, L., Struppa, D. C., Mannucci, M., & Damiano, A. (2016). Information diffusion, Facebook clusters, and the simplicial model of social aggregation: A computational simulation of simplicial diffusers for community health interventions. Health Communication, 31, 385-399. DOI: 10.1080/10410236.2014.960061. (Online First in 2015). [LEAD ARTICLE] [PDF]
15. Kee, K. F. (2015). Three critical matters in big data projects for e-science. In H. Ho, B. C. Ooi, M. J. Zaki, X. Hu, L. Haas, V. Kumar, S. Rachuri, S. Yu, M. H. I. Hsiao, J. Li, F. Luo, S. Pyne, and K. Ogan (Eds.), Proceedings of the 2015 IEEE International Conference on Big Data (pp. 2001-2007), New York: Springer. DOI: 10.1109/BigData.2015.7363991 [PDF]
14. Kee, K. F., & Liang, Y. J. (2015). Subjective numeracy scale. In D. K. Kim, & J. W. Dearing (Eds.), Health communication measures (pp. 247-254). New York: Peter Lang. [PDF]
13. Sparks, L., Kee, K. F., & Struppa, D. C. (2014). Social aggregates in the health context. In T. L. Thompson (Ed.), Encyclopedia of health communication, 3, pp. 1272-1274. Thousand Oaks, CA: Sage. [PDF]
12. Kee, K. F., Sparks, L., Struppa, D. C., & Mannucci, M. (2013). Social groups, social media, and higher dimensional social structures: A simplicial model of social aggregation for computational communication research. Communication Quarterly, 61, 35-58. [PDF]
11. Rakovski, C., Sparks, L., Robinson, J. D., Kee, K. F., Bevan, J. L., & Agne, R. (2012). A regression-based study using jackknife replicates of HINTS III data: Predictors of the efficacy of health information seeking. Journal of Communication in Healthcare, 5, 163-170. [PDF]
10. Iorio, J., Kee, K., & Decker, M. (2012). Instructional technology training: Developing functional and applied skill sets. In P. Resta (Ed.), Proceedings of the 2012 Society for Information Technology & Teacher Education International Conference (pp. 1188-1193). Chesapeake, VA: AACE. [PDF]
09. Kee, K. F., & Thompson-Hayes, M. (2012). Conducting effective interviews about virtual work: Gathering and analyzing data using a grounded theory approach. In S. D. Long (Ed.), Virtual work and human interaction research (pp. 192-212). Hershey: IGI Global. [PDF]
08. Dearing, J. W. & Kee, K. F. (2012). Historical roots of dissemination science. In Brownson, R. Colditz, G. & Proctor, E. (Eds.), Dissemination and implementation research in health: Translating science to practice (pp. 55-71). Oxford: Oxford University Press. [PDF]
07. Stephens, K. K., Murphy**, M., & Kee, K. F. (2012). Leveraging multicommunication in the classroom: Implications for participation and engagement. S. O. Ferris (Ed.), Teaching and learning with the Net Generation: Concepts and tools for reaching digital learners (pp. 269-288). Hershey, PA: IGI Global. [PDF]
06. Kee**, K. F., Cradduck**, L., Blodgett**, B., & Olwan**, R. (2011). Cyberinfrastructure inside out: Definitions and influencing forces shaping its emergence, development, and implementation. In D. Araya, Y. Breindl & T. Houghton (Eds.), Nexus: New intersections in Internet research (pp. 157-189). New York: Peter Lang. [PDF]
05. Browning, L. D., Morris, G. H., & Kee**, K. F. (2011). The role of communication in positive organizational scholarship. In Cameron, K. & Spreitzer, G. (Eds.), Handbook of positive organizational scholarship (pp. 566-578). Oxford: Oxford University Press. [PDF]
04. Kee**, K. F., & Browning, L. D (2010). The dialectical tensions in the funding infrastructure of cyberinfrastructure. Computer Supported Cooperative Work, 19, 283-308. [PDF]
03. Park**, N., Kee**, K. F., & Valenzuela**, S. (2009). Being immersed in social networking environment: Facebook Groups, uses and gratifications, and social outcomes. CyberPsychology & Behavior, 12, 729-733. [PDF]
02. Valenzuela**, S., Park**, N., & Kee**, K. F. (2009). Is there social capital in a social network site?: Facebook use and college students' life satisfaction, trust, and participation. Journal of Computer-Mediated Communication, 14, 875-901. [PDF]
01. Bird, I., Jones, B., & Kee**, K. F. (2009). The organization and management of grid infrastructures. Computer, 42, 36-46. DOI: 10.1109/MC.2009.28. [PDF]
Innovation Diffusion Lab at Texas Tech University
Fall 2019 - Present
The Innovation Diffusion Lab provides knowledge and expertise, as well as opportunities for research, education, and community engagement to advance and promote the diffusion (e.g., interconnected stages of design, development, adoption, implementation, and reinvention) of innovations (e.g., technologies, behaviors, ideologies, memes/ artifacts, information/ content, etc.) towards an ecosystem of smart-cities with productivity, well-being, and sustainability.
NSF CI CoE: CI Compass: An NSF Cyberinfrastructure (CI) Center of Excellence for Navigating the Major Facilities Data Lifecycle
July 15, 2021 - Present
Led by Ewa Deelman at the Information Sciences Institute at the University of Southern California, this multi-institutional project involving Texas Tech aims to enhance the CI underlying the MF data lifecycle, and engage MFs in knowledge sharing, information dissemination, inter-organizational collaborations, and community building.
NSF Collaborative Research: EAGER: Leveraging Advanced Cyberinfrastructure and Developing Organizational Resilience for NSF Large Facilities in the Pandemic Era
September 1, 2020 - Present
Partnered with Ewa Deelman at the Information Sciences Institute at the University of Southern California, this project explores how large major facilities in STEM organizationally pivot and adapt to the COVID-19 pandemic.
NSF CORE: Conversational Agents for Supporting Sustainable Implementation and Systemic Diffusion of Cyberinfrastructure and Science Gateways
May 21, 2020 - Present
With Prasad Calyam and Satish Nair in the Department of Electrical Engineering & Computer Science at the University of Missouri, this study examines the use of chatbot with artificial intelligence to support the diffusion of cyberinfrastructure and science gateways in the US STEM community.
NSF Standard: STEM Training in Ethics of Publication Practices (STEPP)
$345,702, January 1, 2020 - Present
Together with Amy Koerber, Glenn Cummins, Leo Eko, and Karin Ardon-Dryer at Texas Tech University, this study explores open access, open science, and predatory journals in the academic publishing landscape.
NSF CAREER: ORGANIZATIONAL CAPACITY AND CAPACITY BUILDING FOR CYBERINFRASTRUCTURE DIFFUSION
$519,753.00, August 1, 2015 - July 31, 2021
This research project explores the role of organizational capacity in enabling the adoption, implementation, and diffusion of cyberinfrastructure in the US big data and scientific community.
NSF RUI: VOSS: COMPUTATIONAL TOOLS, VIRTUAL ORGANIZING, AND DYNAMIC INNOVATION DIFFUSION
$324,981.00, September 1, 2013 - August 31, 2018
This research project traces how cyberinfrastructure evolves as it diffuses as an innovation across the US scientific community to enable big data science among virtual teams of scientists.
DIFFUSION OF INNOVATIONS
This course focuses on the diffusion of innovations across contexts. This course also looks at dissemination and implementation in health, message design to drive diffusion, and using big data help us understand information diffusion.
SOCIAL MEDIA ANALYTICS
This course explores how big data on social media can be harness to help organizations make strategic decisions. This course discusses concepts, methods, and techniques for social media analytics.
This course explores management theories since the industrial revolution, and how communicative interactions create today's organizations. This course also explore strategies for upward influence, innovation advocacy, and organizational capacity.
COMMUNICATION & VIRTUAL ORGANIZING
This course explores how dispersed strangers can use social media and new technologies to organize offline actions that achieve great things! This course also explores how to build momentum for virtual organizing.