
IBM Be(e) Innovative Challenge → Top 5 & Honourable Mention
For the 2022 IBM Be(e) Innovative Challenge, I teamed up with four other IBM interns to create FloodCast, a collaborative solution that provides policymakers with flood insights in marginalized communities. Team: Richard Herget, Katherine Gao, Corrina Tang, and Silvia Wang.

Together, we created a solution to improve equitable access for redlined neighbourhoods. Redlining can be defined as a discriminatory practice that consists of the systematic denial of services such as mortgages, insurance loans, and other financial services to residents of certain areas, based on their race or ethnicity. Flooding is the most common and costly disaster in the United States, affecting every state and territory and contributing to more than $1 trillion in damage and losses since 2000. Formerly redlined areas have $107 billion worth of homes facing high flood risk — 25% more than non-redlined areas.

Our flood mitigation proposal provides resources for at-risk residents and policymakers, giving up-to-date storm warnings and disaster relief resources. Furthermore, FloodCast supplies policymakers with accurate data on social vulnerabilities done to the area so that targeted aid can be provided to the communities in need. At the end of the competition, we placed top 5 out of 154 participants with an honourable mention.
IBM Be(e) Innovative Challenge
Design Made in 2022

IBM Be(e) Innovative Challenge → Top 5 & Honourable Mention
For the 2022 IBM Be(e) Innovative Challenge, I teamed up with four other IBM interns to create FloodCast, a collaborative solution that provides policymakers with flood insights in marginalized communities. Team: Richard Herget, Katherine Gao, Corrina Tang, and Silvia Wang.

Together, we created a solution to improve equitable access for redlined neighbourhoods. Redlining can be defined as a discriminatory practice that consists of the systematic denial of services such as mortgages, insurance loans, and other financial services to residents of certain areas, based on their race or ethnicity. Flooding is the most common and costly disaster in the United States, affecting every state and territory and contributing to more than $1 trillion in damage and losses since 2000. Formerly redlined areas have $107 billion worth of homes facing high flood risk — 25% more than non-redlined areas.

Our flood mitigation proposal provides resources for at-risk residents and policymakers, giving up-to-date storm warnings and disaster relief resources. Furthermore, FloodCast supplies policymakers with accurate data on social vulnerabilities done to the area so that targeted aid can be provided to the communities in need. At the end of the competition, we placed top 5 out of 154 participants with an honourable mention.
IBM Be(e) Innovative Challenge
Design Made in 2022

IBM Be(e) Innovative Challenge → Top 5 & Honourable Mention
For the 2022 IBM Be(e) Innovative Challenge, I teamed up with four other IBM interns to create FloodCast, a collaborative solution that provides policymakers with flood insights in marginalized communities. Team: Richard Herget, Katherine Gao, Corrina Tang, and Silvia Wang.

Together, we created a solution to improve equitable access for redlined neighbourhoods. Redlining can be defined as a discriminatory practice that consists of the systematic denial of services such as mortgages, insurance loans, and other financial services to residents of certain areas, based on their race or ethnicity. Flooding is the most common and costly disaster in the United States, affecting every state and territory and contributing to more than $1 trillion in damage and losses since 2000. Formerly redlined areas have $107 billion worth of homes facing high flood risk — 25% more than non-redlined areas.

Our flood mitigation proposal provides resources for at-risk residents and policymakers, giving up-to-date storm warnings and disaster relief resources. Furthermore, FloodCast supplies policymakers with accurate data on social vulnerabilities done to the area so that targeted aid can be provided to the communities in need. At the end of the competition, we placed top 5 out of 154 participants with an honourable mention.
IBM Be(e) Innovative Challenge
Design Made in 2022

IBM Be(e) Innovative Challenge → Top 5 & Honourable Mention
For the 2022 IBM Be(e) Innovative Challenge, I teamed up with four other IBM interns to create FloodCast, a collaborative solution that provides policymakers with flood insights in marginalized communities. Team: Richard Herget, Katherine Gao, Corrina Tang, and Silvia Wang.

Together, we created a solution to improve equitable access for redlined neighbourhoods. Redlining can be defined as a discriminatory practice that consists of the systematic denial of services such as mortgages, insurance loans, and other financial services to residents of certain areas, based on their race or ethnicity. Flooding is the most common and costly disaster in the United States, affecting every state and territory and contributing to more than $1 trillion in damage and losses since 2000. Formerly redlined areas have $107 billion worth of homes facing high flood risk — 25% more than non-redlined areas.

Our flood mitigation proposal provides resources for at-risk residents and policymakers, giving up-to-date storm warnings and disaster relief resources. Furthermore, FloodCast supplies policymakers with accurate data on social vulnerabilities done to the area so that targeted aid can be provided to the communities in need. At the end of the competition, we placed top 5 out of 154 participants with an honourable mention.
IBM Be(e) Innovative Challenge
Design Made in 2022