Sponsored/Endorsed Events

Spring 2020

  • Thursday, March 12 Research Skills in the Digital Environment workshops: two workshops, one at 10:30 a.m. titled "Understanding Your Research Impact: An Overview of Traditional and Alternative Metric Assessment Tools," and one at 12:30 p.m. titled "Creating an Online Research Profile: How to Promote and Manage Your Research for Improved Academic Communication." In the Zurack Family High-Technology Collaboration Center, LN-1302C. Lunch between the two workshops. Register online. 
  • THIS TALK HAS BEEN CANCELED: Monday, March 9 digital humanities lecture: Sarah Noonan, assistant professor of English at St. Mary’s College, will speak on "The Peripheral Manuscripts Project - Collaborating to Increase the Discoverability of Midwestern Medieval Manuscript Collections." 4 p.m. in the Zurack Family High-Technology Collaboration Center, LN-1302C.
  • Friday, Feb. 28 IEEE Binghamton Power Engineering Chapter talk: Hsiao-Dong Chiang, professor of electrical and computer engineering at Cornell University and founder and president of Bigwood Systems Inc., will speak on "TRUST-TECH: A Novel and Flexible Paradigm for Nonlinear Optimization and its Applications." 3 p.m. in ES-2008 at the Innovative Technologies Complex

Fall 2019

  • Tuesday, Nov. 26 Computer Science Invited Talk: Steven Loscalzo, principal associate data science at Capitol One, will speak on "Extrapolating from one data point: a data scientist's career trajectory." For the abstract, go online. 1:30 p.m. in UU-108. 
  • Friday, Nov. 22 Computer Science Invited Talk: Issam El Naqa, professor of radiation oncology at the University of Michigan at Ann Arbor, will speak on "Towards a Practical Implementation of Artificial Intelligence in Oncology." For the abstract, go online. Noon in FA-258.
  • Friday, Nov. 8 Interdisciplinary Dean's Speaker Series in Data Science: Andrew Gordon Wilson, assistant professor in the Courant Institute of Mathematical Sciences and Center for Data Science at New York University, will speak on "How do we build models that learn and generalize?" For the abstract, go online. 3:30-4:30 p.m. in LH-10. (Reception at 4:30 p.m. in CW-112, with refreshments available, allowing the audience and the speaker to mingle after the talk. RSVP at http://bit.ly/DS-TAE-RSVP). 
  • Friday, Nov. 1 Computer Science Invited Talk: Ruofei Zhang, PhD '05, and Industrial Advisory Board member, is a Partner Group R&D director at Microsoft AI & Research. He will speak on "Cognitive Services and Deep Learning in Search Advertising." For the abstract, go online. Noon in FA-258. 
  • Thursday, Oct. 24 Data Science Seminar: Douglas Turnbull, assistant professor of computer science at Ithaca College, will speak on "Locally-focused Music Recommendation." For the abstract, go online. 1:15-2:15 p.m. in WH-100E. 
  • Tuesday, Oct. 22 Data Science Seminar: Gen Li, assistant professor of biostatistics at Columbia University, will speak on "Integrative multi-view regression: Bridging group-sparse and low-rank models." For the abstract, go online. Noon-1 p.m. in WH-100E.
  • Friday, Oct. 11 Data Science Seminar: Paul McNicholas, professor and Canada Research Chair of Mathematics and Statistics at McMaster University, will speak on "Clustering Higher-Order Data." For the abstract, go online. 3:30-4:30 p.m. in WH-100E.
  • Wednesday, Oct. 9 Interdisciplinary Dean's Speaker Series in Data Science inaugural talk: Joseph Hogan, Carole and Lawrence Sirovich Professor of Public Health, professor of biostatistics and deputy director of data science at Brown University, will speak on "Using Electronic Health Records Data for Predictive and Causal Inference About the HIV Care Cascade." For the abstract, go online. 11 a.m.-noon in AM-189.

Spring 2019

  • Tuesday, April 16 Data Science Seminar: David Madigan, professor of statistics at Columbia University, will speak on "Towards honest inference from real-world healthcare data." For the abstract of the talk, go online. 11:45 a.m.-12:45 p.m. in WH-G02
  • Tuesday, April 9 Data Science Seminar: David Hunter, professor of statistics at Pennsylvania State University, will speak on "Multivariate Nonparametric Mixture Models." For the abstract of the talk, go online. 11:45 a.m.-12:45 p.m. in WH-100E
  • April 3-5: The second Northeast Regional Conference on Complex Systems, organized by the Center for Collective Dynamics of Complex Systems (CoCo) at Binghamton University and co-sponsored by the Data Science TAE. The conference program is available online. Registration deadline is Friday, March 29. 
  • Thursday, April 4 National Science Foundation funding information session. Part of the Northeast Regional Conference on Complex Systems, but no registration is required. 6-7 p.m. in COE-Symposium Hall
  • Thursday, March 28 Statistics Seminar: Waheed Bajwa, associate professor of electrical and computer engineering and statistics at Rutgers University, will give a talk titled "Adversarially resilient machine learning in fully distributed environments." For the abstract of the talk, go online. 1:15 p.m. in WH-100E
  • Tuesday, March 26 Harpur Dean's Speaker Series in Statistics and Data Science: Regina Liu, distinguished professor and chair of the Department of Statistics and Biostatistics at Rutgers University, will give a talk in the Harpur Dean's Speaker Series in Statistics and Data Science on "Fusion Learning: Efficient Combination of Inferences from Diverse Data Sources." For the abstract of the talk, go online. 11:45 a.m.-12:45 p.m. in WH-100E
  • Wednesday, March 13 CoCo/Data Science TAE Joint Seminar: Changqing Cheng, assistant professor of systems science and industrial engineering at Binghamton University, will speak on "Simulation, Design and Monitoring for Time-Delay Complex Systems." More details can be found online. Refreshments will be served, followed by open discussions. Email Hiroki Sayama for more information. 11 a.m. in the Knoll-MacDonald Commons (Watson Commons, EB-H9).
  • Tuesday, March 12 Mathematical Sciences Data Science Seminar: Subhadeep "Deep" Mukhopadhyay, assistant professor of statistical science at Temple University's Fox School of Business, will give a talk on "Graph Data Science" from 11:45 a.m.-12:45 p.m. Tuesday, March 12, in WH-100E. See the abstract online. 

    Mukhopadhyay's research interest is nonparametric data science and united statistical algorithms. 11:45 a.m.-12:45 p.m. in WH-100E.

  • Tuesday, March 5 Mathematical Sciences Data Science Seminar: Rebecca Nugent, associate department head in the Department of Statistics and Data Science at Carnegie Mellon University, will speak on "Before Teaching Data Science, Let's First Understand How People Do It." Nugent is a nationally renowned advocate for data science education and served on the Committee on Envisioning the Data Science Discipline of the National Academies of Sciences, Engineering and Medicine, contributing to a national report on undergraduate data science education. See the abstract online. 11:45 a.m.-12:45 p.m. in WH-100E.

Fall 2018

  • Wednesday, Oct. 10 workshop on data visualization: Bars, Pies or Doughnuts: Which will you choose? Creating charts and graphs can be easy but selecting which picture best tells your story is a little more challenging. This workshop explores the different types of easy charts and graphs you can make in Power Point and Excel and how to decide which one to choose for your story. 10-11 a.m. in UUW-325. RSVP online. 
  • Thursday, Oct. 18 statistics seminar: Exploring Synthetic Consumer Expenditure Survey Data at U.S. Bureau of Labor Statistics with Jingchen Hu, assistant professor of mathematics and statistics at Vassar College. 1:15-2:15 p.m. in WH-100E. Sponsored by the Department of Mathematical Sciences. 
  • Monday, Oct. 22 workshop on data visualization: Designing an Infographic: Infographics are data visualizations that use clever combinations of words and images to tell a story quickly, concisely, and in an engaging manner. But what makes a good infographic go viral? This workshop outlines the fundamentals for creating a good design. Attendees will participate in a hands-on exercise that utilizes open-source data and tools to learn the art and science of visual storytelling. This is appropriate for audiences of all skill levels. 9-10:30 a.m. in LN-G102. RSVP online. 
  • Wednesday, Nov. 7 workshop on data visualization: Build a Better Presentation: This brief session will highlight some suggestions to take your next presentation from good to great! 1:30-2:30 p.m. in UUW-325. RSVP online.

Spring 2018

  • Friday, March 9 CS Seminar, Hanan Samet (U of Maryland): Reading News with Maps by Exploiting Spatial Synonyms 
  • Tuesday, March 13 DS Seminar, Jiexin Duan (Purdue): Large-Scale Nearest Neighbor Classification with Statistical Guarantee 
  • Thursday, March 15 Stat Seminar, Steve Marron (UNC): Data Integration by JIVE: Joint and Individual Variation Explained 
  • Thursday, March 15 Stat Seminar, Steve Marron (UNC): OODA of Tree Structured Data Objects Using Persistent Homology
  • Friday, March 16 Stat Seminar, Steve Marron (UNC): Object Oriented Data Analysis 
  • Monday, March 19 SSIE Seminar, Shane G. Henderson: Citi Bike: Planning through a Combination of Continuous, Discrete, and Simulation Optimization 
  • Thursday, March 22 ME Seminar, James E. Warner (NASA): Rapid Uncertainty Quantification for Aerospace Applications 
  • Wednesday, May 16 MSE Seminar: Unsupervised Machine Learning Techniques for Spectromicroscopy

Fall 2017

  • Monday, Sept. 18 Johanna Drucker (UCLA): Digital Humanities Status Report: Where Are We Now?
  • Tuesday, Sept. 19 Workshop, Johanna Drucker (UCLA): Digital Humanities Project Design: Focus on Visualization
  • Tuesday, Sept. 19 Data Science Seminar, Dan Yang (Rutgers University): Autoregressive Model for Matrix Valued Time Series
  • Wednesday, Sept. 27 CoCo/DSTWG Seminar: Dane Taylor (Buffalo): Centrality Analysis and Community Detection for Temporal and Multilayer Networks
  • Thursday, Sept. 28 Math Colloquium, Paul F. Velleman (Cornell): Six Impossible Things Before Breakfast: Integrating Randomization Methods in the Introductory Statistics Course
  • Thursday, Oct. 5 Stat Seminar, Alan Edelman (MIT): The Generalized Singular Value Decomposition: Matrix Trigonometry or Where are the Ellipses?
  • Thursday, Oct. 12 Stat Seminar, Jianqing Fan (Princeton): Distributed Estimation of Principal Eigenspaces
  • Thursday, Oct. 19 Stat Seminar, James Ramsey (McGill): From Brain to Hand to Statistics with Dynamic Smoothing
  • Thursday, Oct. 26 Stat Seminar, David Oakes (Rochester): The Win Ratio For Analysis of Clinical Trials With Multiple Outcomes
  • Thursday, Nov. 2 DS-TWG/CS Invited talk, Henry Kautz (Rochester): Mining Social Media to Improve Public Health
  • Monday, Nov. 6 CIAPS talk, Qiang Ji (RPI): Integrating Prior Knowledge and Data for Efficient Visual Learning
  • Tuesday, Nov. 7 DS-TWG/CoCo talk, William Rand (NCSU): Using Big Data, Social Networks, and Agent-Based Modeling to Understand Information Diffusion
  • Tuesday, Nov. 14 Data Science Seminar, Weijie Su (Penn): HiGrad: Statistical Inference for Stochastic Gradient Descent in Online Machine Learning