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EEODataNet

EEODataNet is a collaborative platform aimed at bridging the gap between academic disciplines and the EEOC. It provides access to historical and contemporary EEO data, promotes data sharing, and encourages researchers to support the EEOC's regulatory agenda.

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EEODataNet

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  1. EEODataNet Donald Tomaskovic-Devey, Lee Badget, Fidan Kurtulus, University of Massachusetts NSF- Building Community Capacity funding

  2. First movers Early Years • Ron Edwards and Bliss Cartwright, EEOC • Sheryl Skaggs, NCStateUTexas, Dallas • Alexandra Kalev, PrincetonTel Aviv U Later – Phil Cohen, Frank Dobbin, Elizabeth Hirsch, Matissa Hollister, Matt Huffman, Julie Kmec, Tricia McTague, Kevin Stainback, Don Tomaskovic-Devey…………………..

  3. But, there were more • Economists • Psychologists • Political Scientists • Statisticians • Management Scholars

  4. Research on • Sex, Race and Class (well occupation) Inequalities • Age discrimination • Disability discrimination • Impact of law on firm behavior • Impact of firm policy on EEO outcomes • Long term historical studies of change in EEO outcomes • Qualitative studies of discrimination cases

  5. Triple Silo Problem • Disciplines largely unaware of each other • Data confidentiality restrictions meant little learning across projects, no replication, no data sharing • Academic goals not strongly tied to EEOC needs

  6. Two solutions under construction • EEODataNet • EEODataCenter

  7. EEODataNet • Historical record of all EEO data publications (197 that we can find) • Contemporary directory of all EEO data users (87 that we can find) • Two EEODataNet conferences at EEOC • EEODataNet newsletter • Web site under construction • to share news • archive meta-data

  8. EEODataCenter • Archive EEOC source data • Archive value added data from social science community • Broker relationships between academic communities and EEOC • Help navigate IPA process • Encourage researchers to understand the need to support EEOC’s regulatory agenda • Create access point to source and value added data, as well as metadata • Encourage EEOC to ask academics for support

  9. Tremendous Research Possibilities • Influence of enforcement on firm behavior • Combining EEO data with surveys, administrative data, Compustat • Equal opportunity frontiers – LGBT, credit ratings, criminal background checks, what is a firm? • Text Mining of EEOC complaint data • Geography of EEO

  10. Tremendous Potential to be Relevant • Kalev, Dobbin and Kelly, 2006 • Identify good and bad firms for EEOC • Help EEOC understand impact of its regulatory strategies • Help EEOC with emerging equal opportunity frontiers • Methodology for of EEOC data collection and analyses

  11. Join us, by sending an email to: eeeodatanet <eeodatanet@umass.edu>

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