05/22/2017: Summary and Citation Trees

On May 22, 2017, we (the Prohealth REU students) were introduced to the area where we will be conducting our research together throughout the summer. Below is a picture of the workspace.

Dr. Siek laid out our plan of action for the first week of the REU program and our deliverables for the remaining weeks. She delineated the goals of the REU program and introduced us to the faculty and graduate students that we may be collaborating with. Our introduction to the program was briefly interrupted by a gas leak that occurred near Luddy Hall, but it was remedied by a trip to Starbucks and a quick walk around campus. Afterwards, Mr. Ben Jelen presented information about Citation Managers and Citation Trees as well as his research.

I will now provide a short summary of Ben’s research paper:

Empowering Older Adult Crafters to Electronically Enhance Artifacts for Health explores what and how older adults would design and build to improve their health if given the opportunity to incorporate electronics in their crafts. To accomplish this goal, the researchers first conducted ethnographic-style observations and then coordinated surveys to gauge the health interests of older adult crafters. At the time the paper was written, the researchers were designing workshops to help determine the types of electronics that older adults would like to incorporate into their crafts. The results of the research provided insight into the group structure, group support, and artifact sharing of the crafters. While Quilt-Mixed, Fiber-Indiv, and Fiber-Mixed participants primarily worked individually on their projects, there were entire groups – Quilt-Collab and Pottery-Indiv – that worked collaboratively. Groups supported members by participating in show-and-tell sessions and sharing resources such as magazines, websites, and television programs. Members of the groups either shared their artifacts free of charge through gifts and donations or sold their artifacts for others to enjoy. These findings contribute to the knowledge of how older adults can effectively improve their health and how to efficiently equip older adults with technical skills. After reading this paper, I noticed that the participants of the crafting study were predominantly female. If more males were included in the study, I wonder how the results would change – perhaps they would be more representative of the elderly population. I need to investigate what snowball sampling, paired t-tests, and affinity diagrams entail. A link to the research paper is included below.


Citation Managers:

After researching citation managers such as CiteULike, Mendeley, Zotero, and EndNote, I have decided that I will use Mendeley in my future work.

Ben’s Citation Tree Assignment:

Paper of interest:
P. Odom and S. Natarajan. Active advice seeking for inverse reinforcement learning. In Proc. AAAI, pages 4186-4187, 2015.

Five Forward Citations:

Cited by:

Gombolay, Matthew, et al. “Apprenticeship scheduling: Learning to schedule from human experts.” Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), New York City, NY, USA. 2016.

Gombolay, Matthew, et al. “Robotic Assistance in Coordination of Patient Care.” Proceedings of Robotics: Science and Systems (RSS). 2016.

Nagarajan, Prabhat. “Inverse Reinforcement Learning via Ranked and Failed Demonstrations.”

Odom, Phillip, and Sriraam Natarajan. “Probabilistic Logic Learning via Active Advice Seeking.”

Odom, Phillip, and Sriraam Natarajan. “Actively Interacting with Experts: A Probabilistic Logic Approach.” Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2016.

Five Backward Citations:


Abbeel, Pieter, and Andrew Y. Ng. “Apprenticeship learning via inverse reinforcement learning.” Proceedings of the twenty-first international conference on Machine learning. ACM, 2004.

Boutilier, Craig. “A POMDP formulation of preference elicitation problems.” AAAI/IAAI. 2002.

Cakmak, Maya, and A. Thomaz. “Active learning with mixed query types in learning from demonstration.” Proc. of the ICML Workshop on New Developments in Imitation Learning. 2011.

Choi, Jaedeug, and Kee-Eung Kim. “Inverse reinforcement learning in partially observable environments.” Journal of Machine Learning Research12.Mar (2011): 691-730.

Hamidi, Mandana, et al. “Active Imitation Learning of Hierarchical Policies.” IJCAI. 2015.


Food of the Day: Cream Cheese Bagel