Danielle Song wins best graduate student poster award at the Northeast Decision Sciences Institute conference.
DSLab research assistants attended the NEDSI conference (April 2022). Pictured (left-to-right): Adrian Perez, Grace Niu, Danielle Song, Claire Ding, David Kuo, Jingran Xu, Caroline Tan, and Pennart Klanwari.
DSLab researcher Danielle Song won the best graduate student poster award at the 52nd Northeast Decision Sciences Institute (NEDSI) conference in Newark, New Jersey, on April 8, 2022. Danielle’s poster, entitled “MBTA Winter Storm Planning: Slick Road Prediction Model,” focused on her application of machine learning methods to assist the Massachusetts Bay Transportation Authority (MBTA) by creating a more timely and accurate decision support system for allocating labor and equipment resources in preparation for inclement weather. Seven other DSLab researchers accompanied Danielle and DSLab co-director John Maleyeff to the conference, with DSLab researchers delivering two other presentations. Pennart Klanwari presented a paper entitled “Climate Change Impacts on Boston Hospitals,” which was co-authored by Jiayi Pan, along with Dr. Canan Corlu and Prof. Dave Weidman. Claire Ding presented a paper entitled “Severity Prediction Models to Support MBTA Winter Storm Planning,” which gave a more comprehensive overview of the MBTA project. This paper was co-authored by Ruojia Peng, along with Danielle Song and John Maleyeff. MBTA risk management director Frans Valk and MBTA emergency management director Mark Munroe collaborated on this project.