SONIC at IEEE/ACM ASONAM in Barcelona

Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis

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.

 

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Seniors’ usage of mobile social network sites

Seniors’ usage of mobile social network sites: Applying theories of innovation diffusion and uses and gratifications

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SONIC Lab presented at Academy of Management 2018

On August 11-14, Professor Noshir Contractor and SONIC Alumna Jacqueline Ng presented at the 2018 Academy of Management Conference held in Chicago, Illinois.

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.

Ng, J., & Contractor, N.S.
Social Media & Team Collaboration: How the @mention Feature Facilitates and Constrains Teamwork
Paper presented at AOM.

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IIT Madras to collaborate with Northwestern University for research in data science

From the Economic Times:

Sreeradha Basu Aug 14, 2018, 03.39 PM IST

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.

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Research Lab Manager Position

The SONIC research group and ATLAS laboratory at Northwestern University invite applications for a research lab manager to support lab directors Noshir Contractor (SONIC) and Leslie DeChurch (ATLAS) on administrative and operational aspects of their research portfolios.

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.

Applicants should send a cover letter, resume, and references to Michael Schultz (michael.schultz@northwestern.edu).

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SONIC Speaker Series Presents: Esther Sackett – December 7, 2pm

The SONIC Speaker Series presents

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.

 

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SONIC Speaker Series Presents: Michael D. Siciliano – November 13, 10am

The SONIC Speaker Series presents

Michael D. Siciliano

College of Urban Planning and Public Affairs, University of Illinois at Chicago

Global Policy and Local Networks
The contested resource framework for collaboration and science

SONIC Lab is proud to welcome Michael D. Siciliano of the Univeristy of Illinois at Chicago. Prof. Siciliano speak on Monday, November 13, 2017 at 10:00 AM in Frances Searle Building, Room 1-489. Please contact Dr. Michael Schultz with any questions.

Abstract:

How do institutional changes affect micro-level behaviors?  International agreements such as the Nagoya and Cartagena Protocols of the Convention on Biological Diversity (CBD) are resulting in new policy institutions that regulate the global exchange and use of biological materials in research. These rules are shifting the locus of control over materials from individual researchers to institutions that represent stakeholder interests. Traditionally, material resource exchange occurs within social networks that link scientists with other scientists and with provider organizations. In this new context of contested resources, access to and exchange of biological materials are jointly determined by personal networks and the new authority structures that govern the exchange relationships within the networks.  Relying on a nationally representative sample of scientists in the United States, this talk explores how institutional controls on resource inputs affect collaboration structures and science production.

 

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SONIC Speaker Series Presents: Christoph Riedl – October 23, 10am

The SONIC Speaker Series presents

Christoph Riedl

D’Amore-McKim School of Business, Northeastern University

Quantifying Patterns of Success in Creative Careers

SONIC Lab is proud to welcome Christoph Riedl of the D’Amore-McKim School of Business at Northeastern University. Prof. Riedl will present a talk on Monday, October 23, 2017 at 10:00 AM in Frances Searle Building, Room 1-489. Please contact Michael Schultz with any questions.

Abstract:

In most areas of human performance, the path to major accomplishments requires a steep learning curve, long practice and many trials. Athletes go through years of training and compete repeatedly before setting new records; musicians practice from an early age and perform in secondary venues before earning the spotlight. Yet, little is known about the quantitative patterns that lead to success in creative fields. In this talk we provide a quantitative framework to describe the evolution of success in artistic careers, and ask: Is the success of a particular artist predictable? Are there network measures that improve our understanding of success? We focus on trajectories followed by visual artists through a network of galleries and museums, and show that the prestige of institutions, quantified through network measures, fully determines an artist’s future success. Starting in prestigious venues increases the chance of exhibiting in more venues, appealing to a more international audience, and of being successful in the auction market.

Christoph Riedl is the Joseph G. Riesman Research assistant professor for Information Systems at the D’Amore-McKim School of Business at Northeastern University. He hold a joint appointment with the College of Computer & Information Science and is a core faculty at the Network Science Institute. He is a fellow at the Institute for Quantitative Social Science (IQSS) at Harvard University. He is recipient of a Young Investigator Award (YIP) from Army Research Office (ARO) for his work on social networks in collaborative decision-making. Before joining Northeastern University he was a post-doctoral fellow at Harvard Business School and IQSS. He received a PhD in Information Systems from Technische Universität München (TUM), Germany in 2011, a MSc in Information Systems in 2007, and a BSc in Computer Science in 2006. His work has been funded by NSF and published in leading journals including Management Science, Information Systems Research, and Academy of Management Discoveries.

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