Leading-Edge Machine Learning Technology Sets New Standard in
Election Forecasting with a Focus on Transparency.
PROVIDENCE, R.I., June 28,
2024 /PRNewswire/ -- Brown Political Review proudly
announces the launch of 24cast.org, an innovative election
prediction platform developed by a team of 13 dedicated
Brown University students. The
24cast.org team has created state-of-the-art machine learning
models that consistently outperformed the leading election
prediction models in back-tests on the 2020 general elections and
the 2022 midterms, setting a new benchmark for accuracy in election
forecasting. 24cast.org invites voters and campaigns nationwide to
use the tool in the current 2024 election season.
"We are thrilled with the results of the technology we've
built," states Asher Labovich,
founder of 24cast.org. "We made it open-source so that anyone can
see how our models arrive at their conclusions. Many voters believe
election prediction models are biased and don't trust them. So it
was important to our team that the results be data-driven with
minimal assumptions. In our model, the data speaks for itself."
Over the past year, the 24cast.org team has dedicated themselves
to developing a more accurate and interpretable election forecast
than any other model currently available. 24cast.org utilizes an
ensemble of 1,000 different models and over 500,000 data
inputs that allow the tool to dynamically understand the
interactions between various electoral influences.
Using its innovative machine learning model, the 24cast.org
back-tests on the 2020 general elections and the 2022 midterm
elections consistently outperformed the leading election prediction
models such as FiveThirtyEight, The Economist, Split Ticket, and
Race to the WH. In the current election year, 24cast.org
predicts, in contrast to its peers, that most of the swing states
in the presidential election will vote in unison–either all red or
all blue.
Currently, the 24cast.org model predicts that Trump has a 56%
chance to win the electoral college, while the Senate is
predicted to be evenly split. (The model updates every 24 hours).
The 24cast.org model also provides the likeliest outcomes for the
presidential map.
"We want to reach the 'edge of predictability' and provide an
election prediction model that not only yields the most accurate
results but also offers unparalleled transparency and
accessibility. We believe that by demystifying the election
prediction process and making our models open-source, we can
empower an even more informed and engaged citizenry," declares
Labovich.
Guided by principles of transparency, innovation and
accessibility, all of the 24cast.org election predictions come with
simple graphical explanations to help users understand the
underlying data and analysis. Ultimately, the team hopes to
transform the election prediction landscape and inspire political
engagement.
About 24cast.org
24cast.org by Brown Political Review
aims to demystify the world of election predictions for politically
engaged citizens and stakeholders. Developed by 13 college students
from Brown University, 24cast.org
consists of state-of-the-art machine learning models that predict
key U.S. elections with minimal assumptions. The result is the most
accurate election prediction technology available. Transparent and
accessible to all, 24cast.org's models are open source with
graphical explanations for all predictions to help users understand
how the predictions were reached. Working to achieve the "edge of
predictability," the team is on a mission to empower informed
political engagement by educating the public on the power and
usefulness of prediction technology. To learn more visit
www.24cast.org.
Contact:
Anita Lane
3108243193
379751@email4pr.com
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SOURCE Brown Political Review