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Create an affinity score metric that demonstrates how swayable specific elected officials—how quickly and strongly that official aligns behavior to the special interests providing funding.
Track how official positions change over time—via a bill’s language as it goes through the legislative process—to gauge the influence of special interests.
Build simple visual models that reveal the inner workings of our legislative process and its consequences.

Determine if real-time data sources can take some of the guessing out of inflation rates.
Identify price data at sub-national levels that could enhance inflation calculations.
Create a “defining chart” to further refine inflation calculations and improve monetary policy reactions.

Visualize nighttime illumination history over interesting and relevant datadriven maps.
Find out if there is a connection between poverty and nighttime illusion that might be helpful in addressing poverty.
Create a model for building other data relationships that offer the opportunity to react quickly to surging poverty.

Create an interactive databook to replace the traditional PDF factsheet, collecting crunched data on the indicators that have an impact on poverty.
Present data on DC’s state of child well-being to child advocates, policymakers, and curious citizens using robust visualizations that incite action.

Find evidence that the increased frequency of pruning has substantial benefits.
Determine what tree species make the most sense for future plantings to minimize risk.
Affirm the value in gathering and analyzing such data.

Help funders predict which nonprofits are financially sustainable and which are at risk of financial default
Strengthen efforts to allow earlier, proactive support for organizations at risk of financial default to try to prevent the default from happening
Enhance transparency for philanthropic funders

Create visualizations that document the number of patient requests, the doctors responses, and reveal any patterns might lead to adjusting the program for better results.
Capture data on symptoms communicated and meds prescribed to develop model treatments for certain types of illnesses.
Use the data to recommend potential on-the-ground modifications to the program.

Determine where human rights violations are occurring and identify spikes in activity across the globeBetter understand how the Benetech database of violations has changed over time and where there may be early indicators of impending strifePredict where future violations are likely to occur based on patterns in the data, and potentially identify violations in near-real time

Find out what information farmers want and when they want it, in anticipation of having better information available in the future.
Figure out how to measure the performance of CKWs. What method works better? More visits or more searches per visit?
Determine whether CKWs are more effective when they have a bike handy and can cover more turf.
Identify the best CKWs by analyzing the changes in their performance—number of visits, number of searches—over a period of time, looking for trends.

Build tools that easily scrape and assemble data that can also be replicated.
Identify key sources of data for MIX that will help them enhance microfinance across Africa.