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USF Transparency in Government Project

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The project has been funded by the Leo T. McCarthy center and the City of San ... Center for Responsive Politics. State: http://cal-access.ss.ca.gov/campaign ... – PowerPoint PPT presentation

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Title: USF Transparency in Government Project


1
USF Transparency in Government Project
  • Campaign Finance Disclosure/Visualization
  • David Wolber, University of San Francisco

2
Co-Sponsors
The project has been funded by the Leo T.
McCarthy center and the City of San Francisco.
3
Outline
  • Motivation for Project
  • Funding data at federal/state levels
  • Demo of whosfundingwhom.org
  • Issues and Future Directions

4
Disclosure and Accessibility Current Status
  • On-line Disclosure (getting there)
  • Implementation behind law, in SF
  • Loopholes, e.g., late filing, addendums
  • Data visualization (output) is far behind.
  • sfgov.org/ethics
  • Limited resources, especially software
    developers.

5
Accessibility is Limited
6
Limited Accessibility
  • Journalists
  • Watchdog organizations
  • Only most egregious violations checked
  • Voters

7
Campaign TransparencyNeeds
  • More on-line filing
  • Visualization tools
  • Graphs, e.g., funding trails
  • Views that integrate various data
  • Automatic flagging of potential violations
  • Data mining Analyzing the data to find
    interesting things.

8
Fed and State solutions
  • Federal opensecrets.org
  • Center for Responsive Politics
  • State http//cal-access.ss.ca.gov/campaign/
  • http//cal-access.ss.ca.gov/Campaign/Candidates/li
    st.aspx?viewname

9
Idea behind our project City and University
Collaboration
  • Fill the gap in resources for city.
  • Students work on real projects.
  • Encourage public service.
  • Build some real software to help city/community.

10
Current Status of Project
  • Lobbyist database and on-line forms deployed this
    April.
  • Campaign funding Visualization
  • whosfundingwhom.org
  • Relational view of funding chains
  • Tabular
  • Graph
  • Launch April 1.
  • Basis for data mining, integration,etc.

11
Demonstration
  • See http//bay.cs.usfca.edu/tgpGraph.htm

12
Future Goals
  • Integrate multiple data sources
  • Flag potential violations
  • Mine data for hidden relationships
  • Allow users to input data/associations
  • Special Election/Filing Date views

13
Integrating Data
10000
David Wolber
Joe Contributor
Employee Of
Awarded Contract By
City Department X
14
Integrating Data Sources
  • State Filings
  • Other Cities and Counties
  • Data Standards?

15
Integrating Lobbyist and Campaign Finance Data
  • Does a contributor employ a lobbyist? If so, what
    issue is the lobbyist hired to promote?
  • Lobbyists must report if theyve prompted someone
    to make a contribution.

16
Data within Ethics Commission.
  • Independent Expenditure Database
  • 461 Major Donors
  • Political Consultants

17
Contracts/Voting
  • City Contracts/Permits Awarded
  • Voting Records

18
Flagging Possible Violations
  • Sometimes duplicative filings are required.
  • e.g., cross-checking RCPT database with
    Independent Expenditure DB.
  • Are RCPT committees contributing to other
    committees (a violation)
  • Negative cash balances

19
Geographical Queries
  • For instance, funding by neighborhood or
    district.
  • Note that this information is not in the redacted
    data now online at Ethics Commission.

20
Potential Projects
  • Identify on-line data sources
  • Appointees, employed_by, contracts_awarded.
  • Use whosfundingwhom.org and suggest
    modifications, additions, and directions.

21
Trends in Information Systems
  • Collaboration and the power of the many
  • e.g., wikipedia, del.icio.us, slashdot
  • Collect and organize now scattered data
  • All kinds of legal issues (Feinstein case,
    Kennedy assasination accusations)
  • How to moderate
  • Who is liable?

22
Trends in Information Systems
  • XML and web services
  • Standard data formats
  • Separate presentation from data
  • Mashups/aggregators
  • E.g., Craigslist/Google maps
  • Semantic web

23
Human input of Data
  • The Internet has a lot of data that is free text,
    not structured.
  • e.g., voting on issues, news
  • Administer/Researcher/Expert/public can identify
    and input data (e.g., wikipedia)
  • Objectivity Issues

24
Thank You
  • whosfundingwho.org
  • David Wolber (wolber_at_usfca.edu)
  • (415) 422-6451
  • Email us or come by and see us we want detailed
    feedback and ideas
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