Category: Seed Projects

eMap: Online Mapping Electron Transfer Channels in Proteins

SPRING 2017 RESEARCH INCUBATION AWARDEES  PI: Ksenia Bravaya, Chemistry, CAS This project is developing a computational platform for automated pre-screening of protein X-ray structure for efficient ET channels from user-defined source residue or co-factor to surface-exposed amino acids and its implementation as a robust web application. The developed web-based application, eMap, will enable prediction of […]

The Relationship between Cult and the Natural Landscape in Ancient Greece

SPRING 2017 RESEARCH INCUBATION AWARDEES  PI: Andrea Berlin, Archaeology, CAS The project aims to develop a model that interrogates the visual and spatial relationships between Greek sanctuaries and the natural landscape. The major innovation of project is the plan to collate, preserve, and present data in an online, interactive platform so that future users can […]

IKEA: Product, Pricing, and Exchange Rate Pass-through

SPRING 2017 RESEARCH INCUBATION AWARDEES  PI: Marianne Baxter, Economics, CAS Co-PI: Margrit Betke, Computer Science, CAS The project seeks to use detailed catalog information on products and page layout to advance an understanding of the decision-making process of IKEA – the world’s largest furniture retailer, with stores in 41 countries and annual revenue estimated at […]

Institute Awards Seed Funding to Nine Research Teams

The Institute is pleased to announce the recipients of this round of Hariri Research Award funding. Nine teams, working on a spectrum of projects from record linkage to refugee assistance and human neuroimaging research, will be supported through Institute seed funding. Many of the teams will also be working with software engineers at the Institute’s Software & Application Innovation Lab to realize the results of their research.

Statistically Principled and Scalable Computational Tools for Transforming Research

SPRING 2016 RESEARCH INCUBATION AWARDEES  PI: Lei Guo (Emerging Media Studies, COM) Co-PIs: Prakash Ishwar (Electrical & Computer Engineering, ENG), Margrit Betke (Computer Science, CAS) Collaborators: Jacob Groshek (Emerging Media Studies, COM), Dino Christenson (Political Science, CAS) This research is part of an ongoing project that is exploring reliable and valid methods to analyze large-scale […]

Imagine All the People: The Origins of Education Reform and the Life Trajectories of Low-Skill Youth

SPRING 2016 RESEARCH INCUBATION AWARDEES  PI: Cathie Jo Martin (Political Science, CAS) This project uses computational linguistics to evaluate the cultural origins of diverse models of education reform – standards-setting versus social investment – and their implications for socioeconomic inequality. National standards to ensure uniform educational opportunities, in fact, increase the drop-out rates of low-skill […]

An Ongoing Streaming Sample Twitter Collection and Analysis Toolkit

SPRING 2016 RESEARCH INCUBATION AWARDEES  PI: Jacob Groshek (Emerging Media Studies, COM) Collaborators: Manuel Egele (Electrical & Computer Engineering, ENG) This project seeks to develop alternative and robust collection, storage, and analysis capabilities to perform research based on communications sent via Twitter. Twitter is one of the most popular and frequently used online social networks […]

Enabling High Fidelity Imaging and Quantification of Tissue Mechanical Properties in Vivo through Access to Sophisticated Inverse Problem Solvers

SPRING 2016 RESEARCH INCUBATION AWARDEES  PI: Paul Barbone (Mechanical Engineering, ENG) This project aims to bring new imaging capabilities, enabled by high-performance computing, to a wide cadre of biomedical researchers through a Biomechanical Imaging Science Gateway (BIG@BU) web portal. The BIG@BU Gateway will provide public access to advanced software to solve inverse problems in Biomechanical […]

Graph-Based Approaches to Record Linkage in Large Datasets

SPRING 2016 RESEARCH INCUBATION AWARDEES  PI: Jacob Bor (Global Health, SPH) Collaborators: George Kollios (Computer Science, CAS), Katia Oleinik (IS&T), Lorenzo Orecchia (Computer Science, CAS) This project will develop, implement, validate, and publish graph-based methods for probabilistic record linkage. Researchers will investigate different approaches to integrating information contained in the network structure of the data […]

Coupled Human-Natural Dynamics in Urban Heat Islands: From Big Data to Local Policies

SPRING 2016 RESEARCH INCUBATION AWARDEES  PI: Lucy Hutyra (Earth & Environment, CAS) Collaborators: Dan Li (Earth & Environment, CAS), Mark Friedl (Earth & Environment, CAS) This project is mining cell data for high-resolution spatio-temporal CO2 emissions models to produce a mutidecadal assessment of trends, drivers, and scaling relationships. In order to inform the design of […]