Panel
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Resistance-Power Interactions under Genocidal Conditions
Janin Guzman-Morales
Center for Interdisciplinary Enviromental Justice
Jessica Ng
Princeton University
Marlene Brito-Millan
Loyola University Chicago
bt werner
UC San Diego, Scripps Institution of Oceanography
Amidst the first live-streamed genocide (Sooliman, 2023) and in the context of the long history of ethnic cleansing and violence in Palestine committed by the apartheid state of Israel and its colonial precursors (Khalidi, 2020; Pappe, 2007), Databases for Palestine (2025), on its genocide.live website has collected and thematically organized over sixteen thousand events (video clips) originally uploaded to various social media platforms. This is, to our knowledge, the first native digital archive of the progression in time and space of murders, forced displacement, harassment, assaults, detentions, starvation, and other forms of genocidal aggression, as well as the corresponding contours of resistance, including recreating classrooms and other infrastructure among the rubble, making spaces for joy and normal life, and medics, rescue workers, nurses and doctors saving lives through extraordinary efforts with few resources. As wide-ranging censorship on social media platforms and elsewhere attempt to silence pro-Palestinian voices (digital settler colonialism: Zahzah, 2025), we amplify the voices struggling to be heard in these events of resistance by investigating how each event is temporarily and spatially related to other resistance events and to acts of genocidal aggression, thereby highlighting the specific ways that resistance can exist and thrive amidst scenes of devastation. Processing and analyzing the data requires three steps. First, the data are converted to a form where they can be quantitatively analyzed and subjected to a series of quality control checks. Second, the data are analyzed using linear methods, specifically Canonical Correlation Analysis (Härdle and Simar, 2007) to find correlations between combinations of resistance and genocidal event categories. Additionally, nonlinear time and spatial series forecasting (Abarbanel et al., 1993) is used to recover the phase space of the principal variables of resistance and genocidal dynamics and to test the degree of their non-linearity (interrelatedness) and rate of dissipation (stabilization vs destabilization). Third, the processed analyzed data will be mapped, graphed and interpreted to provide information about the dynamics of resistance under genocidal conditions.
References
Abarbanel, H.D., Brown, R., Sidorowich, J.J. and Tsimring, L.S. (1993) The analysis of observed chaotic data in physical systems. Reviews of modern physics, 65(4), 1331-1392.
Databases for Palestine. (2025). Genocide.live [Dataset]. https://databasesforpalestine.org/
Härdle, W. and Simar, L. (2007). Canonical Correlation Analysis, Applied Multivariate Statistical Analysis. 321–330.
Khalidi, R. (2020). The hundred years' war on Palestine: A history of settler colonialism and resistance, 1917-2017. Metropolitan Books, Henry Holt and Company.
Pappe, I. (2007). The ethnic cleansing of Palestine. Oneworld Publications
Sooliman, I. (2023, October 24). Consent for Genocide in Gaza is Manufactured. Mail and Guardian https://mg.co.za/thought-leader/opinion/2023-10-24-consent-for-genocide-in-gaza-is-manufactured/
Zahzah, O. (2026). Terms of Servitude: Zionism, Silicon Valley, and Digital Settler Colonialism in the Palestinian Liberation Struggle. Seven Stories Press
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