Judging Criteria

Details on what our panel of judges will be looking for.

Criteria

After an initial screening by MIT Solve, Verizon, and community reviewers, the judges will score the screened solutions based on the following criteria:

Alignment: The solution uses technology to address at least one of the key dimensions of the Prize or the overall Prize question.
Potential for Impact: The planned solution has the potential to drive community resilience and impact vulnerable communities facing weather-related disasters in the United States.
Feasibility: The team has a realistic and practical plan for implementing the solution, and it is feasible in the given context.
Innovative Approach: The solution includes a new technology, a new application of technology, a new business model, or a new process for solving the Prize.
Community-Centered Design: The solution team demonstrates proximity to the vulnerable communities served by the solutions, and this proximity is embodied throughout the design, implementation and internal operations of the solution. For this Prize, vulnerable communities are defined as households that fall at or below their state’s median household income level.
Scalability: The solution has a plan for financial viability and the potential to be scaled to affect the lives of more people.
Partnership potential: The applicant clearly explains how the solution would benefit from integrating further with Verizon’s existing infrastructure and programs.
Technical Feasibility: The applicant has provided convincing evidence that the technology has been built and functions as they claim it does. Note: only solutions selected as finalists will be assessed on this criterion. A solution would score lower on Technical Feasibility if the technology underlying the solution would not be possible to create. A solution would score higher on Technical Feasibility if the applicant has provided convincing evidence that the technology underlying the solution has been successfully built and tested.

Judging Panel

The judging panel for this Prize is composed of leaders and experts with experience in weather-related disasters, resilience, and technology in the United States.

Ali Arabnya Director & Practice Lead, Quanta Technology

Ali Arabnya is an experienced leader in power and energy infrastructure development and strategic management. He has extensively advised investor-owned utilities, energy developers, investment banks, regulatory agencies, international organizations, and Fortune 500 energy companies. His expertise includes strategic growth, risk & resilience, and sustainability.

Brandon Wong, CEO, Hyfi

Brandon Wong is the CEO and co-founder of Hyfi with an expertise in sensing, data and water. He holds dual degrees in Civil Engineering and Computer Science from the University of Michigan. Dr. Wong is also the co-founder of Open-Storm.org and led Hyfi to win the inaugural Verizon Resilience Prize in 2022 in recognition of Hyfi’s contribution to leading-edge technologies for disaster resilience.

Khamis Abulgubein, Associate Director, IoT Product Technology, Verizon Business

Khamis leads product development for Verizon's ThingSpace IoT platform. The platform enables network intelligence services on ThingSpace for IoT & FWA include Geo-Location, Network Performance API's, AI, Device Management, Slicing, Security and Analytics. It manages millions of devices and used by thousands of businesses.

Patricia McIlreavy, President & CEO, Center for Disaster Philanthropy

Patty leads the Center for Disaster Philanthropy (CDP), a nonprofit organization committed to helping donors maximize their impact through strategic, equity-centered disaster giving.

With more than 30 years of experience in humanitarian relief and post-conflict development settings, including 17 years living and working overseas, primarily in Africa and the Middle East, she brings a rare blend of operational, policy and strategic expertise to the field of disaster philanthropy.

Raghuveer Vinukollu, Climate Resilience / Reinsurance Professional, Munich Re US

Raghuveer Vinukollu is the Head of Climate Insights and Advisory at Munich Reinsurance America, Inc. based in Princeton, New Jersey. His work* focuses on developing sustainable insurance solutions and spearheading initiatives that protect property owners and communities against unforeseen events and also ensuring the preservation and enhancement of the natural environment.

*Views and opinions expressed are Raghuveer's own.

Reese May, Chief Strategy Officer, SBP

Reese is a two-time combat veteran, US Marine who has been serving communities for nearly ever since his military service concluded. Reese leads SBP’s strategy and innovation, directing high impact impactful local and national programs and leading SBP's government affairs across the United States. Reese is a sought-after resilience and recovery expert with more than 14 years of experience in recoveries across country. A relentless innovator and social entrepreneur, Reese has been the creative force behind SBP’s Recovery Acceleration Fund, Resilience Fellows Program, and the expansion of training and advisory services SBP provides to state and local government leaders. He is a FEMA Vanguard Executive and a member of the Bipartisan Policy Center’s Task Force on Reforming Disaster Response and Recovery. Reese has helped lead SBP since 2011.

Criteria Scoring Details

How might your application be scored higher or lower? Learn more below.

: A solution would score lower on Alignment if it does not convincingly explain why it is relevant to the Prize.
A solution would score higher on Alignment if it fits one or more of the Prize dimensions, or is clearly relevant to the overall Prize question.
: A solution would score lower on Potential for Impact if the theory of how it could change lives does not make logical sense, or if there is existing evidence that it will not work.
A solution would score higher on Potential for Impact if the theory of how it could change the lives of the intended population makes sense and the applicant provides evidence that it is likely to have the intended impact (either from evaluations of the solution itself or from an existing body of evidence about similar interventions).
: A solution would score lower on Feasibility & Readiness if the team does not have a realistic plan for implementation, or if the plan is unlikely to succeed (even if funding is acquired).
A solution would score higher on Feasibility if the team has a realistic plan for implementation and piloting that accounts for the political, economic, geographic, and other relevant contexts, and the team has the necessary skills to implement that plan.
: A solution would score lower on Innovative Approach if it is an implementation of an existing approach without any context-specific modifications.
A solution would score higher on Innovative Approach if it is a truly novel approach, or a novel, context-appropriate application of an existing approach.
: A solution would score lower on Community-Centered Design if the solution is not designed with and for vulnerable communities, and if the team and its leadership are not well-placed to deliver the solution because they are unable to demonstrate proximity to the communities they’re serving.
A solution would score higher on Community-Centered Design if the solution, team, and leadership clearly demonstrate a focus on and proximity to vulnerable communities and have clearly designed the solution for and with those populations.
: A solution would score lower on Scalability if it solves a problem that does not affect other places or populations, if it would not be possible for it to grow in size, or if there is no path to financial viability.
A solution would score higher on Scalability if it has the potential to grow to affect the lives of millions and has a viable plan for achieving financial sustainability.
: A solution would score higher on Partnership Potential if the solution:
Leverages advanced technology core to Verizon business operations, including 5G, Internet of Things (IoT), Artificial Intelligence (AI), and/or Machine Learning (ML)
Aligns with Verizon’s disaster resilience strategy that helps vulnerable communities better prepare for, respond to, and recover from disasters
Addresses one or more of these three pillars:
Preparedness: Help communities better prepare for disasters
Response: Support immediate response efforts to provide basic needs during a crisis
Recovery: Enable long-term recovery and mitigation efforts to support adaptation and growth
: A solution would score lower on Technical Feasibility if the technology underlying the solution would not be possible to create.
A solution would score higher on Technical Feasibility if the applicant has provided convincing evidence that the technology underlying the solution has been successfully built and tested.