Resume-aware faculty matching

Find professors who actually fit you

Upload your resume. Four AI agents analyze your background, rank the faculty who fit, inspect their recent research, and help you draft outreach — grounded in their actual work, not templates.

Free to startNo credit cardCancel anytime
Top matches Balanced preset
Dr. Sarah Chen
Stanford · Interpretability · NLP
91
Dr. Marcus Holloway
MIT · Robotics · RL
84
Dr. Aisha Okonkwo
CMU · Fairness · HCI
82
Nova · Professor Researcher · re-ranking top 20…
Daniel Rubenstein

Daniel Rubenstein

· Professor Emeritus | EEBVerified

Princeton University · Ecology and Evolutionary Biology

Active 1970–2024

h-index48
Citations11.1k
Papers22576 last 5y
Funding$859k
See your match with Daniel Rubenstein — sign in to PhdFit.Sign in

Research topics

  • Computer Science
  • Political Science
  • Geography
  • Ecology
  • Sociology
  • Management
  • Environmental planning
  • Fishery
  • Biology
  • Environmental resource management
  • Knowledge management
  • Environmental science
  • Data science
  • Public relations
  • Economics
  • Business

Selected publications

  • Evaluating expert‐based habitat suitability information of terrestrial mammals with <scp>GPS‐</scp>tracking data

    Global Ecology and Biogeography · 2022 · 17 citations

    • Computer Science
    • Ecology
    • Geography

    Aim: Macroecological studies that require habitat suitability data for many species often derive this information from expert opinion. However, expert-based information is inherently subjective and thus prone to errors. The increasing availability of GPS tracking data offers opportunities to evaluate and supplement expert-based information with detailed empirical evidence. Here, we compared expert-based habitat suitability information from the International Union for Conservation of Nature (IUCN) with habitat suitability information derived from GPS-tracking data of 1,498 individuals from 49 mammal species. Location: Worldwide. Time period: 1998-2021. Major taxa studied: Forty-nine terrestrial mammal species. Methods: Using GPS data, we estimated two measures of habitat suitability for each individual animal: proportional habitat use (proportion of GPS locations within a habitat type), and selection ratio (habitat use relative to its availability). For each individual we then evaluated whether the GPS-based habitat suitability measures were in agreement with the IUCN data. To that end, we calculated the probability that the ranking of empirical habitat suitability measures was in agreement with IUCN's classification into suitable, marginal and unsuitable habitat types. Results: IUCN habitat suitability data were in accordance with the GPS data (> 95% probability of agreement) for 33 out of 49 species based on proportional habitat use estimates and for 25 out of 49 species based on selection ratios. In addition, 37 and 34 species had a > 50% probability of agreement based on proportional habitat use and selection ratios, respectively. Main conclusions: We show how GPS-tracking data can be used to evaluate IUCN habitat suitability data. Our findings indicate that for the majority of species included in this study, it is appropriate to use IUCN habitat suitability data in macroecological studies. Furthermore, we show that GPS-tracking data can be used to identify and prioritize species and habitat types for re-evaluation of IUCN habitat suitability data.

  • Stewardship of global collective behavior

    Proceedings of the National Academy of Sciences · 2021 · 287 citations

    • Political Science
    • Computer Science
    • Political Science

    Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are increasingly structured by emerging communication technologies. Our larger, more complex social networks now transfer high-fidelity information over vast distances at low cost. The digital age and the rise of social media have accelerated changes to our social systems, with poorly understood functional consequences. This gap in our knowledge represents a principal challenge to scientific progress, democracy, and actions to address global crises. We argue that the study of collective behavior must rise to a "crisis discipline" just as medicine, conservation, and climate science have, with a focus on providing actionable insight to policymakers and regulators for the stewardship of social systems.

  • Stepping Up: A U.S. Perspective on the Ten Steps to Responsible Inland Fisheries

    Fisheries · 2021 · 1 citations

    • Political Science
    • Sociology
    • Business

    Abstract The Ten Steps to Responsible Inland Fisheries are global recommendations to address the subordinate position of inland fisheries in sustainability dialogues. Regional and local perspectives are essential for implementing global initiatives. Hence, we surveyed state fisheries agency administrators and American Fisheries Society Governing Board members about the importance, funding, and achievability of the Steps. Respondents rated Science, Communication, and Assessment as highly important, well funded, and achievable steps, unlike Aquaculture and a global Action Plan. Nutrition was rated the most inadequately supported yet achievable step, highlighting an opportunity to promote nutritional contributions of inland fisheries. Opinions were similar between administrators and Governing Board members across U.S. regions, suggesting a foundation for incorporating underemphasized steps into management programs by building multi-organizational partnerships and applying lessons from better integrated steps (e.g., Science, Assessment). Overall, the Steps can advance freshwater science and management in the United States while increasing the visibility of inland fisheries that are rarely prioritized globally.

Recent grants

Frequent coauthors

  • Jenna Kline

    The Ohio State University

    64 shared
  • Elizabeth Campolongo

    64 shared
  • Namrata Banerji

    The Ohio State University

    64 shared
  • Nina Van Tiel

    64 shared
  • Michelle Ramírez

    63 shared
  • Reshma Babu

    Princeton University

    63 shared
  • Tanya Berger‐Wolf

    45 shared
  • Maksim Kholiavchenko

    Rensselaer Polytechnic Institute

    38 shared

Education

  • M.A.

    University of Oxford

    2003
  • Postdoctoral Research Associate

    King's College Cambridge, University of Cambridge

    1980
  • M.A.

    University of Cambridge

    1978
  • PhD., Zoology

    Duke University

    1977
  • BA, Zoology

    University of Michigan

    1972

Similar researchers at Princeton University

  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Daniel Rubenstein

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup