Overview

Founded in 2011 by Dr. Marcus Martin (CEO) and Dr. Eddilisa Martin (President), 2M Research (2M) is a minority-owned research and advisory firm focused on providing federal, state, and local government agencies; commercial clients; and nonprofit organizations with objective and rigorous research, program evaluation, and policy analysis consulting services. Since being awarded its first federal prime contract in November 2013, 2M has been awarded prime contracts in 25 federal agencies. Over 70 percent of 2M’s staff members hold advanced degrees.

All practice areas are supported by our two research centers:

The 2M Survey Research Center

Our onsite 56-seat Survey Research Center uses state-of-the-art technology and multimodal approaches that integrate mail, email, phone, and web modalities to facilitate a wide range of survey needs.

• Customizable survey solutions and advanced quality assurance tools
• Computer-assisted interviewing (CATI, CAPI, CARI, CADE)
• Cognitive monitoring and focus groups
• Nationwide field interviewing
• Information security and physical safeguards that comply with all applicable laws and regulations for the secure handling of federal data, including personally identifiable information (PII) and protected health information (PHI)
• Training lab
• Interviewer training
• Economic experiments
• Real-time video/audio equipment to support recording and archiving of data collection activities
• Broadcasting that allows for the control of multiple camera feeds
• Additional apps to facilitate real-time interaction, such as voting or instant messaging

The 2M Statistical and Geospatial Innovation Center

We provide solutions to complex problems using advanced statistical solutions and high-performance computing resources.

• Big data mining, modeling, and simulation
• Spatial analysis and visualization
• Database creation and management, including merging large and diverse administrative databases
• Implementation of alternative estimation strategies for complex statistical models
• Merging large and diverse administrative databases
• Creating applications for GIS
• High-performance computing resources to support various approaches to parallelization, including harnessing the structure of Graphical Processing Units (GPUs)