Noshir Contractor presents at the Institute for Policy Research Colloquium

Noshir Contractor presented on “Leveraging Computational Social Science to Address Grand Societal Challenges” on April 16, 2018.

The increased access to big data about social phenomena in general, and network data in particular, has been a windfall for social scientists. But these exciting opportunities must be accompanied with careful reflection on how big data can motivate new theories and methods. Using examples of his research in areas of disaster response, global health, scientific collaboration, and the mission to Mars, Contractor will argue that computational social science serves as the foundation to unleash the intellectual insights locked in big data. More importantly, he will illustrate how these insights offer social scientists in general, and social network scholars in particular, an unprecedented opportunity to engage more actively in monitoring, anticipating, and designing interventions to address grand societal challenges.

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Diego Gómez-Zará and Silvia Andreoli shared MDT’s results at Radio UBA

The Ph.D. student, Diego Gómez-Zará, and the CITEP’s Director of Projects, Silvia Andreoli, presented the findings and results of the My Dream Team case study elaborated at the Universidad de Buenos Aires, Argentina. Both scholars were interviewed in the program “Académicamente” transmitted by the radio of the university. The objective of this program is to generate a space for sharing and diffusing research projects of the university. The interview was on April 10th.

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SONIC Lab presented the results of My Dream Team case study at CITEP, Argentina.

On April 9th, Professor Noshir Contractor and his Ph.D. student Diego Gómez-Zará presented the results of the team assembly case study conducted at the Center for Technological and Pedagogical Innovation (CITEP – Centro de Innovación en Tecnología y Pedagogía). The talk was given at the University of Buenos Aires in Buenos Aires, Argentina. Noshir and Diego presented how the participants of this academic program searched and invited others to assemble teams. The main results explain the relevant features for creating effective teams and demonstrate how My Dream Team –a web-based teaming search platform– facilitate the formation of teams in educational contexts.

 

 

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Diego Gómez-Zará presents at INGroup 2018

Diego Gómez-Zará is going to attend the 13th Annual INGRoup Conference on July 18-22, in Washington, DC. He will present one of the My Dream Team project’s publications called “Social Cognition and Team Assembly: Competence, Warmth, or Embeddedness,” co-authored with Jacqueline Ng, Marlon Twyman, Silvia Andreoli, Leslie DeChurch, and Noshir Contractor.

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Sid Jha and Matt Nicholson present at Northwestern Computational Research Day

Sid Jha will give a lightning talk “A Computational Platform to Evaluate the Ability to Perceive Social Connections” at the 2018 Computational Research Day on April 10, 2018. Moreover, Sid and Matt (both Undergraduate Research Assistants at SONIC) will present their posters then, respectively:

  • Creating a Framework for Evaluating the Effectiveness of Various Search Strategies in the Small-World Phenomenon (by Matt)
  • Network Acuity: Social Perceptions in a Small-World Experiment (by Sid)

Both abstracts and posters are available: http://computational-research-day.s3-website.us-east-2.amazonaws.com/posters/

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Computational Social Science ≠ Computer Science + Social Data

Hanna Wallach published a thought piece of what computational social science is, especially from her computer science point of view. Given computational social science in mind, She made points of differences between computer science and social science in terms of goals, models, data, and challenges:

  •  Goals: Prediction vs. explanation — “[C]omputer scientists may be interested in finding the needle in the haystack—such as […] the right Web page to display from a search—but social scientists are more commonly interested in characterizing the haystack.”
  • Models: “Models for prediction are often intended to replace human interpretation or reasoning, whereas models for explanation are intended to inform or guide human reasoning.”
  • Data: “Computer scientists usually work with large-scale, digitized datasets, often collected and made available for no particular purpose other than “machine learning research.” In contrast, social scientists often use data collected or curated in order to answer specific questions.”
  • Challenges: Datasets consisting of social phenomena raised ethical concerns regarding privacy, fairness, and accountability — “they may be new to most computer scientists, but they are not new to social scientists.”

 

She concludes her article saying that “we need to work with social scientists in order to understand the ethical implications and consequences of our modeling decisions.”

The article is available here.

 

 

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Cooperation, clustering, and assortative mixing in dynamic networks

A recent study by David Melamed and his colleagues examined whether the emergent structures that promote cooperation are driven by reputation or can emerge purely via dynamics. To answer the research question, they recruited 1,979 Amazon Mechanical Turkers and asked them to play an iterated prisoner’s dilemma game. Further, these participants were randomly assigned one of 16 experimental conditions. Results of the experiments show that dynamic networks yield high rates of cooperation even without reputational knowledge. Additionally, the study found that the targeted choice condition in static networks yields cooperation rates as high as those in dynamic networks.

The original article is available here.

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Jacqueline Ng and Diego Gómez-Zará presented at the ATLAS’s Teams Research Incubator Weekend

Jacqueline Ng, Ph.D. candidate, and Diego Gómez-Zará, Ph.D. student, presented their current research at the ATLAS’s Teams Research Incubator for doctoral students and junior faculty, in Evanston, IL

On March 17th, Jacqueline presented “Information sharing in online teams: How information processing interventions affect team discussions” in a session titled “Multilevel Perspectives on Teams.”

Then, on March 18th, Diego presented his work on team recommender systems: “Social Cognition and Team Assembly:
Competence, Warmth, or Embeddedness.” The session was titled “Perceptions & Teams.

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