Suchismita Goswami, Computational Sciences and Informatics PhD Candidate, will be presenting a paper she co-authored with Dr. Edward Wegman. The paper entitled Network Neighborhood Analysis for Detecting Anomalies Using Scan Statistics of Time Series of Graphs will be presented at the 4th International Conference on Computational Social Science(IC2S2 2018), Northwestern University’s Kellogg School of Management,12-15 July, 2018.
Recently, Dr. Wegman retired from George Mason University after serving for twenty-two years. He joined Mason in 1986 and in 2006 he held a joint appointment with the College of Science (COS) and Engineering. During this time, he was selected as the first Bernard J. Dunn Professor of Information Technology and a recipient of the Mason Distinguished Faculty Award. In 2016, he moved fully to COS and the Department of Computational and Data Sciences in 2016.
On May 16-19, the 2018 Symposium on Data Science and Statistics (SDSS) was held in honor of Dr. Wegman who had done seminal work in many areas within the interface of statistics and computing science—as well as data visualization—and had been a driving force in creating the SDSS and its predecessors.
Suchimista Goswami and Redouane Betrouni, Dr. Wegman’s graduate students, played important roles in this symposium. Ms. Goswami chaired the CS60 Time-based Models and presented the paper she co-authored with Dr. Wegman entitled “Detection of Excessive Activities in Time Series of Graphs Using Scan Statistics.” She also chaired the panel on CS64 – Bioinformatics. Mr. Betrouni chaired the panels on CS66 Business Analytics and CS70 Public Health Applications. He also presented a paper he co-authored with Dr. Wegman, “Systematic Sampling Design with Application to Data Splitting.”
Recently, Joe Shaheen, Computational Social Science Phd Candidate, entered the Three Minute Thesis competition which was part of the Mason Graduate Interdisciplinary Conference held on Saturday, April 7 in Founders Hall, Arlington. Joe’s and the other participants’ presentations can be found here.
“Congratulations to all the graduates from the Department of Computational and Data Sciences. The following graduates who participated in the College of Science’s Degree Celebration on Wednesday, May 16 at the Eagle Bank Arena were captured by Karen Underwood, the Department’s Academic Manager:
John Rigsby, Computational Sciences and Informatics
PhD – John’s faculty member, Dr. Jason Kinser,
was on the platform at the
time of the photograph
Congratulations to Joseph Shaheen, CSS PhD Candidate, who was recently acknowledged by the Mason Core Committee for teaching excellence. He received an outstanding review by the students he taught in CDS 102/201 – Intro Comp/Data Sciences Lab. He received above 4.75 out of 5 on the element “My overall rating of teaching” from the Student Ratings of Instruction. Great job, Joe!
Five Computational Sciences and Informatics PhD students participated in the ExpeditionHacks Hackathon to Combat Human Trafficking last weekend. The students – Armelle Dory (Franklin), Sze-Wing Wong, Swabir Silayi, Gideon Gogovi and Ajay Kulkarni – found it to be a great experience. They spent over 30 hours straight, working as a team during the event.
The work the students focused on included:
1 – Building an interactive dashboard (R Shiny) that exploited the flow of victims into or out of a particular country. This could help law enforcement understand where to focus efforts when dealing with international trafficking.
2 – Identifying key variables of importance with Random Forest method for initial down select of variables, then 3 classification methods on the top 13 variables (SVM, Naive Bayesian, k-Nearest Neighbors). We found that a key feature in the dataset was the relationship of the recruiter (trafficker) to the victim.
3 – Web scraping internet stories of survivors and using the TFIDF approach to identify trends among the words used when survivors describe their stories.
This could help lead to a pattern in how the crimes occurred
or how the victims escaped.
The Department encourages these types of student team efforts in that they challenge the students to address and possibly solve important issues.
Thank you to Armelle, Sze-Wing, Swabir, Gideon and Ajay!
Drs. Qing Tian and Andrew Crooks, cowriting with Zhang, R., Jiang, L., Qi, S. and Yang, R., had a paper published in Land Use Policy (2018) entitled Projecting Cropping Patterns around Poyang Lake and Prioritizing Areas for Policy Intervention to Promote Rice: A Cellular Automata Model. In the paper they explore current land use patterns in the Poyang Lake Region (PLR) of China, focusing specifically on current rice production in the region and what this might look like in the future (especially the impact of farmland consolidation) by using an CA model (built on the DINAMICA EGO platform). For more information including an abstract and models, click here.
Annetta Burger, Computational Social Science PhD candidate, Graduate Research Assistant with the Center of Social Complexity and member of the team working on a DTRA-funded project led by Dr. William Kennedy entitled “Response to a WMD in a Mega-City,” recently attended and presented at the Society for Applied Anthropology (SfAA) 2018 Annual Meeting: Sustainable Futures in Philadelphia. Ms. Burger’s presentation, From Networks to Recovery: An Agent-based Model of Community Resilience, suggested that the community resilience and social capital that lead to improved local recovery from disasters are derived from social connections and social network structures that provide informational, financial and other in-kind resources, and that by modeling social network representations for a simulated society it is possible to explore how households recover from disaster.
Dr. Andrew Crooks, Associate Professor, Computational Social Sciences Program in the Department of Computational and Data Sciences and a member of the Center for Social Complexity, presented Innovations in Urban Analytics at the Association of American Geographers’ annual meeting in New Orleans. Innovations in Urban Analyticsis a look at new forms of data about people and cities that are fostering research that is disrupting many traditional fields. These new forms of micro-level data have led to new methodological approaches in order to better understand how urban systems behave. Increasingly, these approaches and data are being used to ask questions about how cities can be made more sustainable and efficient in the future.
Dr. Claudio Cioffi, Director of the Center for Social Complexity and Professor, Computational Social Science Program within the Department of Computational and Data Sciences along with Niloofar Bagheri-Jebelli, Computational Social Science PhD student, presented a paper, “A Computational Approach to Initial Social Complexity: Göbekli Tepe and Neolithic Polities in Urfa Region, Upper Mesopotamia, Tenth Millennium BC,” at the 83rd Annual Meeting of the SAA (Society for American Archaeology held in Washington, DC in April.