Our Articles

Artificial intelligence, including generative AI, is transforming the landscape of digital transnational repression. Digital transnational repression includes digital surveillance, deployment of spyware, phishing, and hacking attacks, doxxing, online harassment, and disinformation campaigns, all of which violently threaten targeted individuals, often forcing on them self-censorship and isolation from social media. Read more. 

State and non-state actors are leveraging advanced AI tools to influence operations, evade content moderation, and conduct sophisticated propaganda campaigns across multiple platforms. It highlights recent instances of AI-driven influence operations in the US, the challenges in detecting and countering such activities, and the necessity for a collaborative approach against these emerging threats. Read more.

With more than half of the global population across 78 countries participating in elections in 2024, and with artificial intelligence (AI) derived misinformation and disinformation identified as the foremost global risk factor in terms of election outcomes, multiple black-swan events--that are high impact and difficult to predict but inevitable-- can be anticipated. Read more. 

With the advent of social media more than a decade ago, and now with the emergence of generative artificial intelligence, international security has become increasingly complex in terms of its cross-sectoral and transnational nature. Multilateralism as the only response to international security concerns is an outdated lens; multi-stakeholderism is the new fresh lens. Read more.

To improve communication in the current multi-stakeholder international system, Incident Response teams should provide communication and engagement training to their internal teams and those identified as relevant third-party stakeholders and partners. Where appropriate, conducting debriefs and establishing information-

sharing agreements with close partners can be helpful if any sensitive information is shared. Read more.

Political appointees have too little experience and too many delusions. The Biden administration recently unveiled a new national security strategy with grand aims for U.S. foreign policy: to win the global contest against autocracy, particularly an increasingly dangerous Russia and China. To succeed, according to policymakers, the U.S. will have to “shape what comes next.” Read more.

Using Machine Learning, we analyzed bias in Covid-19 reporting by top five English newspapers in India: how their reporting acted as a catalyst in accelerating Islamophobia in India during Covid19. Alongside the severe havoc that Coronavirus (SARS-CoV-2) wreaked in the global economy, it also unleashed a worldwide pandemic of hate targeting minorities and marginalized groups. Read more.

The article aims at developing a new ontology for healthcare systems (HS) simulation. The ontology includes various classes that represent major components of HS simulation and their relationships as an integrated whole. It also presents an illustrative case study to showcase the use of the ontology while capturing successfully within its scope an outbreak of cholera disease and its mitigation plan. Read more.

The article explores the dimensions and structural mechanisms that can foster the misuse of information systems (IS) for corrupt practices. Using the abductive-retroductive strategy native to critical realism, the authors present a realist conceptualization of why the misuse of IS for corrupt practices occurs in the Nigerian public sector. Their findings contribute to theory, practice, and the methodology of critical realism. Read more.