I help people make decisions through large scale analysis and by creating technology. As a Data Scientist, I specialize in the distillation of insight from large volumes of data and in the creation of intelligent systems to offer customized solutions. By my own definition, I study how to use what we have learned from the social sciences to collect and assess information about humans' use of technology. I use these insights to build models, prototypes, and solutions. In my career, I have focused upon helping start-ups, small businesses, and enterprise level corporations achieve success. I have been interested in this since I was young. In my undergraduate career, where I studied quantitative Psychology and Marketing, I focused on blending science, technology, and business. My PhD degree in Human-Computer Interaction further focused upon achieving harmony across these disciplines.
I'm interested in continuing to learn more about the learning sciences and technology fields. I want to hone this curiosity with increased professional experience. Now I am looking for opportunities that would allow me to continue to pursue my goal of building and improving learning systems. I am interested in connecting with like-minded professionals. I hope to help facilitate a professional sense of community focused on these ideals. To that end I am also interested in companies and academic institutions that are prioritize the creation of learning technologies. Such technologies help people to acquire new knowledge and help people to make decisions. My skills are necessarily broad given the context of these problems. I draw inspiration and knowledge from experts in the fields of:
- Natural Language Processing (NLP)
- Learning Analytics (LA)
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Social Psychology
- Marketing Research
- Human-Computer Interaction (HCI)
- User Experience Design (UX Design) and User Interaction Design
- Information Visualization
- Cognitive Psyhology / Pyscho Linguistics
Kirk, R. A. (2019). Machine discovery of aberrant operating states. US Patent No. 10,438,124. US Patent and Trademark Office.
Kirk, R. A., Sletten, V. (2019). Machine discovery and rapid agglomeration of similar states. US Patent No. 10,346,756. US Patent and Trademark Office.
Mackay, J.F., Cady, F.N., Elkholy, A.H., Povey, R., Prakriya, T.S. Thompson, R., Kirk, R.A. (2018). Machine-assisted key discovery and join generation. US Patent No. 10,162,881. US Patent and Trademark Office.
PAPERS AND PUBLICATIONS
Kirk R.A. (2020, in press). Mitigating misinformation: Using simulations to examine the effectiveness of potential strategies.Emerging Research Innovations in AI, User Experience and Design: Industry. AHFE 2020.
Kirk R.A., Kirk D.A. (2018). Embodiment Support Systems: Extending the DEAR Causal Inference Framework Through Application to Naturalistic Environments and Inclusion Within a Decision Support System.In: Yamamoto S., Mori H. (eds) Human Interface and the Management of Information. Information in Applications and Services. HIMI 2018. Lecture Notes in Computer Science, vol 10905.
Kirk R.A. (2017). Grounded Approach for Understanding Changes in Human Emotional States in Real Time Using Psychophysiological Sensory Apparatuses. In: Schmorrow D., Fidopiastis C. (eds) Augmented Cognition. Neurocognition and Machine Learning. AC 2017. Lecture Notes in Computer Science , vol 10284.
Kirk R.A., Kirk D.A. (2017) Introducing a Decision Making Framework to Help Users Detect, Evaluate, Assess, and Recommend (DEAR) Action Within Complex Sociotechnical Environments. In: Yamamoto S. (eds) Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration. HIMI 2017. Lecture Notes in Computer Science, vol 10274.
Kirk, R.A., Kirk, D.A., and Pescheck, P. (2016). Decision making for complex ecosystems: A technique for establishing causality in dynamic systems. Communications in Computers and Information Sciences, 617.
Kirk, R.A. (2015). Combating the coming data deluge: Creating real-time awareness in the age of the Internet of Things. In Joshi, D., and Kumar, V. (Eds.) The big analytics: Leader's collaborative book project. (86-93). Location: Nashua, New Hampshire.
Kirk, R. A. (2015). Evaluating a cognitive tool built to aid decision making using decision making approach as a theoretical framework and using unobtrusive, behavior-based measures for analysis. Retrieve from ProQuest (3684297).
Pesheck, P.S., Kirk, R.A., Kirk, D.A. (June 2014). Accessing Causality Relationships in Microwave Heating Simulations. International Microwave Power Institute Symposium.
Cotos, E., Aist, G., Gilbert, S., Kalivarapu, V., Kirk, R.A. Ramaswamy, N., & Babu, D.P. (2011). Scaling Up Automated Writing Evaluation for Learning. Proceedings of the Computer Assisted Language Instruction Consortium (CALICO) Annual Symposium.
Kirk, R.A., Danielson, J.A. (2011). Designing a learning approach to community-based decision-making: Using analytical statistics and decision trees to optimize a data structure. Proceedings of the Association for Educational Communications and Technology.
Danielson, J.A., Wu, T.-F., Kirk, R.A., Preast, V.A. and Fales-Williams, J.A. (2011) Predictors of Employer Satisfaction: Technical and Non-technical Skills. Journal of Veterinary Medical Education .
Kirk, R.A. and Danielson, J.A. (2010) Executive decision support system for use in complex environments. World Conference on Innovative Virtual Reality (WinVR). Iowa State University.
Kirk, R.A. and Prisacari, A. (2011). Reducing uncertainty in human-centered design approach: Using Actor-Network Theory analysis to establish fluid design guidelines. Communications in Computer and Information Science, 175. pp. 38-42.
Kirk, R.A. (2011). Extracts Cognitive Artifacts from Text through Combining Human and Machine Learning in an Iterative Fashion. Communications in Computer and Information Science, 175. pp. 293-7.
Kirk, R.A. and Danielson, J.A. (2010) Information visualization for decision makers: A case study. Community of Educational Technology Support (ComETS). Iowa State University.
Fales-Williams, A., Whitley, E., Wu, T.-F., Gustafson, M., Kirk, R.A., Danielson, J.A. (2011). Association between a case-based writing exercise and North American Veterinary License Exam Scores. International Association of Medical Science Educators.
Valdovinos, M.G., Wrenn, C.C., Baker, D.F., McCallian, R., Ippolito, K., Woods, G., and Kirk, R.A. (2010). Characterizing the Performance of the Fmr1 Knockout Mouse on a Progressive Ratio Schedule: Measuring Motivation and the Effects of Clonidine on Performance. Gatlinburg Conference on Research and Theory in Intellectual and Developmental Disabilities.
CONFERENCES AND SPEAKING ENGAGEMENTS
Kirk, R.A. (October, 2016). [KEYNOTE] Customer Analytics in the Age of IoT: Using data to manage people, products, and processes. Presented at CCABD Data to Dollars Conference in St. Louis, MO.
Kirk, R.A. (October, 2016). Host of the Olin Business School Center for Customer Analytics and Big Data Student Panel. Presented at CCABD Data to Dollars Conference in St. Louis, MO.
Kirk, R.A. et al. (July, 2016). [KEYNOTE] The Future of Data Analytics - Panel Keynote. Presented at StampedeCon 2016 in St. Louis, MO.
Kirk, R.A. (July, 2016). Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyzing. Presented at StampedeCon 2016 in St. Louis, MO.
Kirk, R.A., Kirk, D.A., and Pescheck, P. (May, 2016). Decision making for complex ecosystems: A technique for establishing causality in dynamic systems. Presented at Human-Computer Interaction International in Toronto, CA.
Kirk, R.A., Kirk, and D.A. (May, 2016). Automated causal inference engine to facilitate decision making through supporting semantic queries. Presented at Human-Computer Interaction International in Toronto, CA.
Pescheck, P., Kirk, R.A., and Kirk, D.A. (February, 2016). Multiphysics modeling to improve microwave heating uniformity in foods. NSF Food, Energy, and Water (FEW) Workshop
Kirk, R.A. (June 2012) Scaling Up Automated Writing Evaluation for Learning. CALICO.
Danielson, J.D., and Kirk, R.A. (March 2012). Survey results from employers of new veterinary graduates: Role of core skills. AAVMC AVCP
Danielson, J.D., and Kirk, R.A. (March 2012). Association between a case-based writing exercise and North American Veterinary License Exam scores. IAMSE.
Kirk, R.A., and Danielson, J.D. Designing a learning approach to community-based decision-making: Using analytical statistics and decision trees to optimize a data structure.. (November, 2011). AECT 2011.
Kirk, R.A. & Prisacari, A. (July, 2011). Reducing uncertainty in a human-centered design approach: Using Actor-Network Theory analysis in situ to establish fluid design guidelines. Presented at Human-Computer Interaction International.
Kirk, R.A. (July, 2011). Extracting cognitive artifacts from text. Presented at Human-Computer Interaction International.
Other Conferences Attended
- PyCon (May, 2016)
- Agile Alliance (August, 2015)
- ISU Success Summit Ames, IA (March, 2011)
- IgniteAmes Ames, IA (May, 2010)
- World Conference on Innovative Virtual Reality Ames, IA (May, 2010)
- Startup Weekend Des Moines, IA (March, 2010)
- Graduate and Professional School Day Panelist, Drake University (Febrary, 2010)
- Community of Educational Technology Support (ComETS) (February, 2010)
ESSAYS AND WHITEPAPERS
- Scaling Cloud Predictions in the Age of IoT. (July, 2016). CenturyLink Cloud Blog.
- [PODCAST] Cloud Talk: IoT and Capacity Planning with Ryan Kirk. (July, 2016). CenturyLink Cloud Podcast.
- Capacity planning for cloud platforms, Part I (February, 2016). CenturyLink Cloud Blog.
- Capacity planning for cloud platforms, Part II (March, 2016). CenturyLink Cloud Blog.
- Data analytics and strategic thinking (Fall, 2015). Drake Blue Magazine.
- Big data requires a data mindset. (July, 2014). Qubole.
- Expert Big Data Tips (September, 2014). Qubole.
- Estimating fraud in mobile environments. (July, 2014). Hipcricket.
- Getting started with mobile marketing. (August, 2014). Hipcricket.
- Understanding consumer response rates to mobile advertising (July, 2014).Hipcricket.
- Interview with Sr. Data Scientist Ryan Kirk (June, 2014). Hipcricket.
- [WHITEPAPER] SPIE Stratecast:How consumer attribution makes mobile ads pay off. (June, 2014). Frost & Sullivan Stratecast SPIE.