The New School

EXECUTIVE SUMMARY AND STRATEGIC VISION

The New School demonstrates a robust scientific integrity profile, reflected in an overall risk score of -0.297, which indicates a performance stronger than the global average. The institution's primary strengths lie in its commitment to external validation and responsible authorship practices, with exceptionally low-risk signals in Institutional Self-Citation, Output in Discontinued Journals, Hyperprolific Authors, and Output in Institutional Journals. These results are complemented by a resilient stance against hyper-authorship, where the institution outperforms national trends. Key areas for strategic focus include a medium-risk signal in the gap between its overall research impact and the impact of work under its direct leadership, as well as a rate of redundant output that mirrors a systemic national pattern. According to SCImago Institutions Rankings data, The New School's strongest thematic areas include Arts and Humanities, Psychology, and Economics, Econometrics and Finance. The identified risks, particularly the dependency on external leadership for impact, could challenge the mission to "lead in generating practical and theoretical knowledge." An over-reliance on partners may dilute the institution's role as a primary generator of knowledge, while redundant publications could be perceived as prioritizing volume over the mission's goal of enabling people to "better understand our world." To fully align its operational integrity with its ambitious vision, The New School is encouraged to develop strategies that bolster its intellectual leadership in collaborations and promote research that prioritizes substantive contributions over fragmented outputs, thereby reinforcing its commitment to creating a "better and more just place."

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The institution presents a Z-score of -0.278, slightly higher than the national average of -0.514. Although both scores fall within a low-risk category, this subtle difference suggests an incipient vulnerability that warrants monitoring. The institution's risk level is statistically normal for its context, but the slight elevation indicates that its researchers may be engaging in multiple affiliations more frequently than the national baseline. While often a legitimate result of collaboration, it is a signal to review these patterns to ensure they consistently reflect genuine partnerships rather than strategic attempts to inflate institutional credit or "affiliation shopping," which could dilute the institution's unique brand.

Rate of Retracted Output

With a Z-score of -0.005, the institution's rate of retractions is slightly above the national average of -0.126, though both remain in the low-risk range. This indicates a normal operational profile, but the minor deviation suggests a potential area for proactive review. A rate slightly higher than the national average, even if low, can be an early warning that quality control mechanisms prior to publication may have room for improvement. It serves as a constructive signal to reinforce pre-submission checks and methodological rigor to prevent the escalation of unintentional errors and safeguard the institution's reputation for integrity.

Rate of Institutional Self-Citation

The New School exhibits an exceptionally low Z-score of -0.963 in institutional self-citation, positioning it well below the already low-risk national average of -0.566. This result demonstrates a low-profile consistency and a commendable reliance on external validation. A certain level of self-citation is natural, but the institution’s very low rate effectively dismisses any concern of scientific isolation or 'echo chambers.' This strong performance indicates that the institution's academic influence is built on broad recognition from the global community, not on endogamous impact inflation, which reinforces the external credibility of its research lines.

Rate of Output in Discontinued Journals

The institution's Z-score of -0.417 is virtually identical to the national average of -0.415, placing both in the very low-risk category. This reflects a state of integrity synchrony, demonstrating total alignment with a national environment of maximum scientific security in publication channel selection. This alignment indicates that the institution's researchers exercise excellent due diligence in choosing where to disseminate their work. By avoiding journals that fail to meet international ethical or quality standards, The New School effectively mitigates reputational risks and ensures its scientific production is channeled through credible and enduring media.

Rate of Hyper-Authored Output

With a low-risk Z-score of -0.715, the institution demonstrates significant institutional resilience, especially when contrasted with the medium-risk national average of 0.594. This disparity suggests that the institution's internal control mechanisms are effectively mitigating a systemic risk prevalent in the country. While extensive author lists are legitimate in some 'Big Science' fields, the institution's low score indicates a culture that successfully curbs the inflation of author lists. This fosters clear individual accountability and transparency, distinguishing between necessary massive collaboration and questionable 'honorary' authorship practices.

Gap between Impact of total output and the impact of output with leadership

The institution shows a medium-risk Z-score of 0.858, which is notably higher than the national medium-risk average of 0.284. This indicates a high exposure to this particular risk factor, suggesting the institution is more prone to this issue than its national peers. The wide positive gap signals a potential sustainability risk, as it suggests that a significant portion of the institution's scientific prestige is dependent and exogenous, not structural. This finding invites a critical reflection on whether its high-impact metrics result from genuine internal capacity or from strategic positioning in collaborations where The New School does not exercise primary intellectual leadership.

Rate of Hyperprolific Authors

The institution's Z-score of -1.179 is in the very low-risk category, performing significantly better than the low-risk national average of -0.275. This demonstrates a low-profile consistency, where the absence of risk signals is even more pronounced than the national standard. This excellent result suggests a healthy institutional culture that prioritizes quality over sheer quantity of publications. By avoiding extreme individual publication volumes, The New School mitigates risks such as coercive authorship or the assignment of authorship without real participation, reinforcing a focus on meaningful intellectual contributions over the inflation of personal metrics.

Rate of Output in Institutional Journals

With a Z-score of -0.268, the institution shows a total operational silence in this indicator, performing even better than the very low-risk national average of -0.220. This exemplary result indicates an absence of risk signals that is even below the national baseline. It demonstrates a strong commitment to independent, external peer review and avoids any potential conflicts of interest where the institution might act as both judge and party. This practice prevents academic endogamy, ensuring that scientific production is validated through standard competitive channels and maximizing its global visibility and credibility.

Rate of Redundant Output (Salami Slicing)

The institution's Z-score of 0.029 is classified as medium-risk and is almost identical to the national average of 0.027. This alignment points to a systemic pattern, suggesting the risk level reflects shared academic practices or pressures at a national level. The presence of this signal alerts to the potential practice of dividing coherent studies into 'minimal publishable units' to artificially inflate productivity metrics. While not an anomaly, this pattern warrants internal review to ensure that publication strategies prioritize the communication of significant new knowledge over the fragmentation of data, which can distort the scientific evidence base.