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Institutional Needs

This document explores the current challenges facing the integration of ecological data collection methodologies within institutional frameworks, particularly focusing on the interactions between the Office of Management and Budget (OMB) and the National Center for Environmental Economics (NCEE). It discusses the legal concerns, the lack of ecological expertise within key organizations, and the implications of data collection methods under time pressures. Additionally, it emphasizes the need for a coordinated approach to enhance the effectiveness of ecological analysis and data usage in supporting environmental policy.

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Institutional Needs

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  1. Institutional Needs • Where is OMB? • Where are the ecologists? • Data collection • The organization of science • Review • Methods

  2. OMB • Legal concerns - silence • Animosity/paranoia • Interactions b/w NCEE & OMB • A-4 - anything you want it to be - uncertainty for EPA - rumor • Rules get passed without $B > C • Can we do something to help?

  3. Ecologists? • 1 name • Talked to him, begged off RIA expertise • OWOW, no economists < 1/5 ecologists • Implications for analysis

  4. Data Collection • ICRs Information Collection Requests • Surveys, CV • “Biggest practical issue” • Time pressure - court deadlines • OMB review, public comment • +7 years • EPA suggested protocol (denied)

  5. The Organization of Analysis • Program offices lead - and finance • NCEE a centralized reviewer • OAQPS - a dedicated economics shop • SJ memo “a renewed effort to coordinate”

  6. Review • Takes many forms • No consistency across reviewers/reviews • Only “novel elements get reviewed” • Time pressure • A standing body?

  7. Methods • Skepticism over CV, BT • Expert elicitation • What endpoints should we measure? • Inertia, challenge & litigation • Methods propagate • Mitchell & Carson • “Chase off the shelf methods” • A contract with OMB to allow experimentation

  8. Final Thoughts • RIA & PART • Money to develop robust tools • Not just money for an answer • Follow the money • Forget methods, what about data? • Should we be making organizational recommendations?

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