From Athens to Wall Street: reflections on occupy movements in Greece and the US

March 19, 2012: The CUNY Graduate Center A discussion on the past, present and future of uprisings and occupy movements in Athens and New York City. With Special Guests: Dimitris Dalakoglou is co-editor of the book Revolt and Crisis in Greece, and a member of the Occupied London Collective. He works as a Lecturer in Anthropology at the University of Sussex (UK). Manissa McCleave Maharawal is a writer, activist and a doctoral student in the anthropology department at the CUNY Graduate Center. She has been involved with and written extensively about the Occupy movement since it started. Isham Christie is a student at the CUNY Graduate Center studying critical social theory, philosophy, and film. He has been involved with Occupy Wall Street since before the occupation began, in a range of working groups

Capitalism’s Crises

"The contributors to this volume draw on a non-dogmatic Marxist approach to explain the systemic and conjunctural dynamics of crisis inherent in global capitalism. Their analysis asks what is historically specific to capitalism's crises while avoiding catastrophic or defeatist claims. At the same time the volume situates left agency within actual patterns of resistance and class struggle to clarify the potential for transformative change. The cycle of resistance strengthened by the World Socal Forum and transnational activism is now punctuated by the experience of the Arab Spring, the agency of anti-systemic movements, left think tanks, the Occupy Wall Street Movement, labour unions, left parties in Europe such as Syrizia and Podemos and peoples' budgeting in Kerala, India. On the down side, we are witnessing the waning of the Workers Party in Brazil and serious challenges for South Africa's once powerful labour movement and still formative social justice activism. All these developments are assessed in this volume. This is the second volume in the Democratic Marxism series. It elaborates on crucial themes introduced in the first volume, Marxism in the 21st Century: Crisis, Critique and Struggle (edited by Michelle Williams and Vishwas Satgar).

Capitalism’s Crises

"The contributors to this volume draw on a non-dogmatic Marxist approach to explain the systemic and conjunctural dynamics of crisis inherent in global capitalism. Their analysis asks what is historically specific to capitalism's crises while avoiding catastrophic or defeatist claims. At the same time the volume situates left agency within actual patterns of resistance and class struggle to clarify the potential for transformative change. The cycle of resistance strengthened by the World Socal Forum and transnational activism is now punctuated by the experience of the Arab Spring, the agency of anti-systemic movements, left think tanks, the Occupy Wall Street Movement, labour unions, left parties in Europe such as Syrizia and Podemos and peoples' budgeting in Kerala, India. On the down side, we are witnessing the waning of the Workers Party in Brazil and serious challenges for South Africa's once powerful labour movement and still formative social justice activism. All these developments are assessed in this volume. This is the second volume in the Democratic Marxism series. It elaborates on crucial themes introduced in the first volume, Marxism in the 21st Century: Crisis, Critique and Struggle (edited by Michelle Williams and Vishwas Satgar).

Getting the most out of maths : how to coordinate mathematical modelling research to support a pandemic, lessons learnt from three initiatives that were part of the COVID-19 response in the UK

In March 2020 mathematics became a key part of the scientific advice to the UK government on the pandemic response to COVID-19. Mathematical and statistical modelling provided critical information on the spread of the virus and the potential impact of different interventions. The unprecedented scale of the challenge led the epidemiological modelling community in the UK to be pushed to its limits. At the same time, mathematical modellers across the country were keen to use their knowledge and skills to support the COVID-19 modelling effort. However, this sudden great interest in epidemiological modelling needed to be coordinated to provide much-needed support, and to limit the burden on epidemiological modellers already very stretched for time. In this paper we describe three initiatives set up in the UK in spring 2020 to coordinate the mathematical sciences research community in supporting mathematical modelling of COVID-19. Each initiative had different primary aims and worked to maximise synergies between the various projects. We reflect on the lessons learnt, highlighting the key roles of pre-existing research collaborations and focal centres of coordination in contributing to the success of these initiatives. We conclude with recommendations about important ways in which the scientific research community could be better prepared for future pandemics

Getting the most out of maths: How to coordinate mathematical modelling research to support a pandemic, lessons learnt from three initiatives that were part of the COVID-19 response in the UK.

In March 2020 mathematics became a key part of the scientific advice to the UK government on the pandemic response to COVID-19. Mathematical and statistical modelling provided critical information on the spread of the virus and the potential impact of different interventions. The unprecedented scale of the challenge led the epidemiological modelling community in the UK to be pushed to its limits. At the same time, mathematical modellers across the country were keen to use their knowledge and skills to support the COVID-19 modelling effort. However, this sudden great interest in epidemiological modelling needed to be coordinated to provide much-needed support, and to limit the burden on epidemiological modellers already very stretched for time. In this paper we describe three initiatives set up in the UK in spring 2020 to coordinate the mathematical sciences research community in supporting mathematical modelling of COVID-19. Each initiative had different primary aims and worked to maximise synergies between the various projects. We reflect on the lessons learnt, highlighting the key roles of pre-existing research collaborations and focal centres of coordination in contributing to the success of these initiatives. We conclude with recommendations about important ways in which the scientific research community could be better prepared for future pandemics. This manuscript was submitted as part of a theme issue on "Modelling COVID-19 and Preparedness for Future Pandemics"