Mara Torres Pinedo is a Ph.D. candidate at the Institute for Global Prosperity at University College London. Her research focuses on how different individual attributes such as gender, migration status, and further socio-economic and risk perception characteristics, drive people’s institutional network connectivity to prepare, cope, and recover from disasters. Before starting her Ph.D., Mara achieved an MSc in Risk, Disaster and Resilience at UCL and a BA in International Relations. Before coming to the
UK to pursue her postgraduate studies, Mara worked as a Development practitioner for over 9 years in her natal Mexico, as well as in Colombia, El Salvador, Honduras and the US.
I am the Associate Director at ‘Doers’- a humanitarian organization working towards resilience and sustainability in the Himalayan region of India. I have 16 years of field-based experience in interrelated domains of disaster risk reduction, humanitarian response and climate change adaptation in India. I have contributed to the Hazard, Vulnerability & Risk Analysis (HVRA) of Himachal Pradesh state as well as Shimla city. Currently, I am leading an ambitious project to build ‘Data Ecosystem for Effective Planning and Response during Emergencies & Disasters (DEEPRED)’ at Doers. My research interests include the utilization of data for effective risk communication and building better decision support systems for disaster risk management.
PhD Candidate Egypt Academic Discipline: Computer/Data Sciences, Economics, Political Science, Public Policy Interests Keywords: Big Data, Computational Models., Decision-Making, development, Disasters, Game Theory, political economy About me: Sustainable Development Goals: Affordable and Clean Energy, Clean Water and Sanitation, Climate Action, Decent Work and Economic Growth, Gender Equality, Good Health and Well-being, Industry, Innovation and Infrastructure, [...]
I am interested in the social dimensions of disaster preparedness using a critical and comparative framework. Also interested in education and social justice / inequality.
I study the political economy of disasters and international development. I live in the UK and focus much of my current work on evaluating development programs locally and in Sub-Saharan Africa. I examine programs designed to build resilience and adapt to climate change, as well as social programs aimed at improving the lives of underserved populations (isolated persons, single mothers, victims of domestic abuse, homeless), and their effects on community resilience, political trust, public opinion, and more.
I am currently working as a postdoctoral Senior Research Officer, at the Department of Government, University of Essex, as part of the Evaluation Team (Catalyst Project), where I have been working with collaborators to acquire, process and analyse administrative data to support local authorities (such as Essex and Suffolk County Council, Essex County Fire and Rescue Service) improve the impact of programmes and interventions for the communities they serve. A computational linguist by training (text analytics, natural language processing, mathematical models of language) (PhD in Computational Linguistics, Essex – 2010; MA in Computational Linguistics, Essex – 2004), I have been working as a data scientist since 2010 (UK Data Archive (Essex); Endangered Languages Archive (SOAS, University of London); Administrative Data Research Network (Essex)), when I took up my current role.