Abstract:

Abduction is an inference approach that uses data and observations to identify plausible (and preferably, best) explanations for phenomena. Applications of abduction (e.g., robotics, genetics, image understanding) have largely been devoid of human behavior. Here, we devise and execute an iterative abductive analysis process that is driven by the social sciences: behaviors and interactions among groups of human subjects. One goal is to understand intra-group cooperation and its effect on fostering collective identity. We build an online game platform; perform and analyze controlled laboratory experiments; form hypotheses; build, exercise, and evaluate network-based agent-based models; and evaluate the hypotheses in multiple abductive iterations, improving our understanding as the process unfolds. While the experimental results are of interest, the paper’s thrust is methodological, and indeed establishes the potential of iterative abductive looping for the (computational) social sciences.

Ren, Y., Cedeno-Mieles, V., Hu, Z., Deng, X., Adiga, A., Barrett, C. L., et al. (2018). Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis (pp. 1–8). Presented at the International Conference on Advances in Social Network Analysis and Mining, 2009. ASONAM ’09.

Contractor, N. S.
Some Assembly Required: Teaming in the 21st Century.
Paper presented at the Innovations in Teaching Teamwork PDW Workshop

Contractor, N. S.
Multi-theoretical multilevel models of networks.
Paper presented at the Introduction to Social Network Analysis PDW Workshop.

Mukherjee, A., Xiao, P. & Wang, L., Contractor, N. S.
Does the opinion of the crowd predict success? 
Paper presented at the Crowd and Cloud Session.

IIT Madras has tied up with Northwestern University, US, for carrying out broad-based research collaboration in data science, web science, network science and computational social science.

The institutes signed an MoU recently to launch a joint project on the development of features for three web-based software platforms that focus on network-based approaches to facilitate team assembly and processes. Professor Ravindra Gettu, dean (Industrial Consultancy and Sponsored Research), IIT Madras, and Dr. Jonathan Holloway, Provost, Northwestern University, U.S., signed the MoU on behalf of their respective Institutions.
Speaking about the importance of this collaboration, Prof. B. Ravindran, Department of Computer Science and Engineering, IIT Madras, and one of the principal collaborators in this project, said, “The SONIC research group at Northwestern University is a world leader in the field of network science. This MoU will allow us to collaborate closely and work on problems that will have a global impact”

Further, Prof Ravindran added, “The Robert Bosch Centre for Data Science and AI at IIT Madras has a significant expertise in the area of network science and this collaboration is the first of our initiatives to reach out to international partners with similar interests”.

The first project under this collaboration is a web-based platform called “My Dream Team” that focuses on assembling people with harmonising skillsets together. Concretely, these platforms take advantage of the survey and the digital trace data generated through sources like enterprise social media platforms to help recommend potential teammates to an individual or make managerial decisions using features rooted in the theories of network science and machine learning.

The principal collaborators on this project are: Prof. B. Ravindran, Department of Computer Science and Engineering, IIT Madras, and Head, Robert Bosch Center for Data Science and Artificial Intelligence, IIT Madras; and IIT Madras Distinguished Alumnus Prof. Noshir Contractor, Jane S. and William J. White Professor of Behavioural Sciences and Director of the Science of Networks in Communities (SONIC) Research Group at Northwestern University.

The lab manager will be responsible for supporting a variety of lab operations, including reporting and compliance requirements, communication of findings through digital displays and online materials, and organization and updating of research materials and files. In addition, the lab manager will assist in training new lab members and other research related activities.

Responsibilities:

• Preparation and submission of grant reports and other administrative documents needed for compliance.
• Preparation of materials to promote our research on digital displays and lab websites.
• Regularly update lab databases tracking publications, presentations, personnel, and other information needed for laboratory operations.
• Oversee IRB procedures and maintain confidentiality of participant information; ensures compliance with institutional, state and federal regulatory policies, procedures, directives and mandates.
• Miscellaneous laboratory management tasks such as ordering supplies and maintaining equipment.

Required Competencies:

• Strong project management skills with exceptional attention to detail.
• Excellent written and verbal communication skills.
• Outstanding interpersonal skills and ability to maintain positive relationships with various stakeholders.
• Strong time management skills with a proven ability to multitask and to prioritize activities to successfully complete projects on tight deadlines with little supervision.
• Knowledge of Microsoft Office, Dropbox, and Google Drive required.
• Willingness to learn scientific formatting requirements (e.g., APA format) in preparing research materials.
• Ability to work independently and as part of a team.

Education and Experience:

• Bachelor’s degree required, preferably in Communication, Psychology, Sociology, Business, Industrial Engineering, or a social science field.
• Experience in an interdisciplinary research environment preferred.
• Experience with IRB or grant-writing preferred.

PDF version of the schedule:

SONIC Speaker Series 2017-2018

Esther Sackett

Kellogg School of Management, Northwestern University

Expertise Awareness in Multi-Organizational Collaboration: The Role of Goal Awareness

SONIC Lab is proud to welcome Esther Sackett of the Northwestern University. Dr. Sackett will speak on Thursday, December 7th, 2017 at 2 PM in Frances Searle Building, Room 1-483. Please contact Dr. Michael Schultz with any questions.

 Abstract:

Multistakeholder alliances typically have dual purposes that are often in tension – 1) pooling knowledge and resources toward a collaborative goal, and 2) engaging in knowledge transfer by leveraging knowledge and resources for each individual organization’s benefit. However, research has also demonstrated that these dual purposes are also quite intertwined, as members’ sustained engagement in the alliance over time depends on the perceived value of participation in terms of meeting their own organization’s needs. Inherent in the structure of multistakeholder alliances and their dual purposes is an implicit assumption: that the distributed expertise in a multistakeholder alliance is available for the pursuit of both collaborative goals and knowledge transfer. However, each of these goals may actually require access to different sets of expertise. Thus, a potentially overlooked mechanism for overcoming the challenges of balancing the dual purposes of multistakeholder alliances may reside in the relationships between the goals being pursued and the mechanisms for accessing the expertise needed to address them. Building on the framework of transactive memory systems, I use a qualitative approach to explore the factors that contribute to the development of expertise awareness, goal awareness, and the relationship between them in a multistakeholder alliance in the healthcare sector.