The Data Science Initiative at the Hariri Institute for Computing is pleased to host the 4th Annual BU Data Science (BUDS) Day on Wednesday, February 6, 2019. 

BU Data Science (BUDS) Day
Wednesday, February 6, 2019, 8:30 am – 5:30 pm
Trustee Ballroom, Metcalf Trustee Center
1 Silber Way (9th Floor)

Boston University
Audience: Anyone who builds, analyzes, or utilizes computational and statistical methods, tools, and software artifacts to collect, curate, store, transfer, analyze, or visualize various types of data in their work or research.

This year, the theme for BUDS Day revolves around ingredients for successful and impactful data science research and will feature a number of sessions in which BU colleagues will present and discuss:

  • on-going work
  • opportunities for future collaborations
  • unique expertise
  • capacities available at BU
  • on-going plans for advancing data science research and education at BU

We are also planning a pre-lunch lightning talks session and an end-of-day reception with poster presentations.  


BUDS Day Panels

Panel #1: “Impactful Collaborations”
This panel will share faculty experiences in creating successful collaborations that led to impactful outcomes that highlight the duality of data science research, connecting methodologies to applications. For each collaboration, this panel will include faculty from both ends of successful partnerships.

Panel #2: “Differentiating Capacities”
On this panel, faculty who have worked on problems involving various data modalities will discuss opportunities for collaborations that would leverage methodological expertise or domain specific challenges related to these modalities – e.g., medical imaging, genomics, NLP, social network modalities.

Panel #3: “Invisible Foundations”
The focus of this panel is to highlight foundational research that is necessary for Data Science to work, including research in optimization, algorithms, data mining, database and software systems, and cloud platforms.   

Panel #4: “Research Enablers”
This panel will feature presentations by representatives from BU units and organizations providing critical resources and support that enables Data Science research, including scalable and HPC platforms, software engineering, statistical design, as well as consultancy on a host of issues related to security, privacy, regulatory and ethical considerations.


BUDS Day Co-Chairs

Lei Guo
Assistant Professor
College of Communication–Emerging Media Studies
Boston University

Vijaya Kolachalama
Assistant Professor
School of Medicine–Computational Biomedicine
Boston University

Evimaria Terzi
Associate Professor
College & Grad School of Arts & Sciences–Computer Science
Boston University


2019 BUDS Day Planning Committee Members

Azer Bestavros, William Fairfield Warren Distinguished Professor
Department of Computer Science, College of Arts & Sciences
Founding Director, Hariri Institute for Computing

John Byers, Data Science Faculty Fellow, Data Science Initiative
Department of Computer Science, College of Arts & Sciences
Interim Associate Dean of the MCS Faculty, CAS

Neha Gondal (2018 Committee Member), Assistant Professor
Department of Sociology–College of Arts & Sciences

Brian Kulis (2018 Committee Member), Paul J. Levine Career Development Assistant Professor
Department of Electrical & Computer Engineering–College of Engineering

William Evan Johnson (2017 Committee Member), Associate Professor
School of Medicine–Computational Biomedicine

Dylan Walker (2017 Committee Member), Assistant Professor
Questrom School of Business–QST Information Systems

Dino Christenson (2016 Committee Member), Associate Professor
College & Grad School of Arts & Sciences–Political Sciences

Prakesh Ishwar (2016 Committee Member)Professor
College of Engineering–Ishwar Lab


2018 BUDS Day Attendee Reactions

  • “The event has become a tradition that reinforces the strengths of BU in high-level computation and machine learning sciences. This is crucial based on the initiatives that we have been implementing at the university, and relative to the universities stature in mathematics, computation, and science in general.”
  • The event was very successful and created a platform for researchers from different fields to get to know each other’s work and foster collaborations.”
  • The event was incredibly successful. On my panel alone learned a lot, and I found myself talking about other panels long after BUDS was over. I was particularly intrigued by Chris Schmidtt’s presentation. Having panelists from multiple disciplines is genius.”


Previous Years at BUDS Day

Data Science Defined

Methodological, generalizable, and scalable extraction of knowledge from data by developing and applying methods from computer science and statistics and by building software artifacts to collect, curate, analyze, mine, synthesize, and visualize various types of data.