RPDIES

Research Program on Digital Innovation, Economics, and Strategy

The Research Program on Digital Innovation, Economics, and Strategy (RPDIES) uses quantitative analysis of large data sets and field experiments to study the economics, design, and management of digital businesses, innovation systems, and platforms. RPDIES brings together methods from economics, social, behavioral and policy sciences with those of data science, computer science, and engineering. 

Particular topics of topics of interest include open innovation, online platforms, "universities as knowledge platforms", crowdsourcing, app platforms and "ecosystems" of complementors, algorithm and software design contests, Internet of Things (IoT), hackathons, digital tools and scientific collaboration, crowdfunding, big data and data science, open source and user innovation collaborative communities, apps, and peer-to-peer models. RPDIES is a newly formed initiative at Northeastern University across the School of Business, the College of Computer and Information Science and the Economics Department.

The IoT Open Innovation Lab is a special project of RPDIES to deploy an IoT Open Innovation platform to enable innovation, experimentation, and development of IoT applications by Northeastern community members, solving problems for affiliated companies. The project is supported by collaborations with industry and the wider university.

Members and contributors to RPDIES include:

  • Mavez Dabas, Research Assistant & Program Manager Computer Science, data science; Tesla, CrowdComfort
  • Jack Du, Research Affiliate Applied Mathematics and Economics; Morgan Stanley
  • Abhinav Kharbanda, Research Assistant & Program Manager, software architecture, computer science, information retrieval and extraction, Defence Research and Development Organisation, Lio Technologies
  • Nilam Kaushik, Doctoral Researcher Management and Innovation, machine learning; RIM/Blackberry
  • Austen Keene, Research Assistant & Program Manager, computer science, Amazon Robotics
  • Afan Khan, Research Assistant & Program Manager Computer Science, AI, NLP, embedded systems; The MathWorks, Tata, Infosys
  • Atif Khan, Research Assistant Computer Science, IR, algorithms, big data; Amazon Robotics, Cognizant Systems
  • Dyan Khor, Research Assistant & Program Manager, marketing analytics ops, A/B testing, platform user acquisition; Hubspot, Adobe
  • Patrick McGrath, Research Assistant Computer Science; Local Executive Board Member of Association for Computing Machinery
  • Kaushik Padmanabhan, Research Assistant & Program Manager, Computer Engineering, embedded systems; HCL Embedded Computing & Networking
  • Richard Paulsen, Research Assistant & Economist, Industrial Organization and Labor Economics; Federal Reserve Bank of Boston
  • Nikin Tharan, Research Assistant & Program Manager, Manulife/John Hancock, Embedded Systems Lab, Alpha Electronics
  • Katherine Wilhoit, Research Assistant & Program Manager Interaction Design and Entrepreneurship; Scout Labs, IDEO, Media Lab


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