Published in The Lancet Public Health, 2021
Tracking progress on health and climate change in Europe.
Recommended citation: Marina Romanello et al. "Tracking progress on health and climate change in Europe." The Lancet Public Health, September 2021.
Published in Research & Politics, 2021
Transfer learning for topic labeling: Analysis of the UK House of Commons speeches 1935-2014.
Recommended citation: Béchara H, Herzog A, Jankin S, John P. "Transfer learning for topic labeling: Analysis of the UK House of Commons speeches 1935–2014." Research & Politics, April 2021.
Published in Lancet Planetary Health, 2021
Engagement with health in national climate change commitments under the Paris Agreement: a global mixed-methods analysis of the nationally determined contributions.
Recommended citation: Niheer Dasandi, Hilary Graham, Pete Lampard, Slava Jankin Mikhaylov (2021). "Engagement with health in national climate change commitments under the Paris Agreement: a global mixed-methods analysis of the nationally determined contributions." Lancet Planetary Health, 5(2): 93-101.
Published in The Lancet, 2021
The Lancet Countdown is an international collaboration established to provide an independent, global monitoring system dedicated to tracking the emerging health profile of the changing climate.
Recommended citation: Nick Watts et al. "The 2020 report of The Lancet Countdown on health and climate change: responding to converging crises." The Lancet, 397(10269): 129-170.
Published in Bulletin of the World Health Organization, 2021
Intergovernmental engagement on health impacts of climate change
Recommended citation: Niheer Dasandi, Hilary Graham, Pete Lampard, and Slava Jankin Mikhaylov. "Intergovernmental engagement on health impacts of climate change." Bulletin of the World Health Organization, 99(2): 102-111.
Published in Computer/IEEE, 2020
Managing Artificial Intelligence Deployment in the Public Sector
Recommended citation: Averill Campion, Mila Gasco, Slava Jankin Mikhaylov, and Marc Esteve. "Managing Artificial Intelligence Deployment in the Public Sector." Computer, 53(10): 28-37.
Published in Political Science Research and Methods, 2020
Opening up the black box of intra-cabinet politics.
Recommended citation: Alexander Herzog and Slava Jankin Mikhaylov (2020). "Intra-Cabinet Politics and Fiscal Governance in Times of Austerity." Political Science Research and Methods, 8(3), 409-424.
Published in Energy Research and Social Science, 2020
Big data from smart meters can be well clustered with Gaussian Mixture Models
Recommended citation: Anastasia Ushakova and Slava Jankin Mikhaylov. "Big data to the rescue? Challenges in analysing granular household electricity consumption in the United Kingdom." Energy Research and Social Science, Volume 64, June 2020, 101428.
Published in Public Policy and Administration, 2020
This paper is about AI effect on public policy research.
Recommended citation: Irina Pencheva, Marc Esteve, and Slava Jankin Mikhaylov (2020). "Big Data & AI – A Transformational Shift for Government: So, What Next for Research?" Public Policy and Administration, 35(1): 24–44.
Published in Public Administration, 2020
NLP for public services
Recommended citation: Radoslaw Kowalski, Marc Esteve, and Slava Jankin Mikhaylov. "Improving Public Services by Mining Citizen Feedback: An Application of Natural Language Processing." Public Administration, 98(4): 1011-1026.
Published in Political Studies, 2020
This paper is about foreign policy balancing of African states between China and United States.
Recommended citation: Padraig Carmody, Niheer Dasandi, Slava Jankin Mikhaylov (2020). "Power Plays and Balancing Acts: The Paradoxical Effects of Chinese Trade on African Foreign Policy Positions." Political Studies, 68(1): 224–246.
Published in The Lancet, 2019
Health implications of climate change
Recommended citation: N Watts et al. (2019). "The 2019 report of The Lancet Countdown on health and climate change: ensuring that the health of a child born today is not defined by a changing climate." The Lancet, 394(10211): 1836-1878.
Published in PLoS ONE, 2019
Communities, multilayered networks, and UN speeches.
Recommended citation: Pomeroy C, Dasandi N, Jankin Mikhaylov S (2019). "Multiplex communities and the emergence of international conflict." PLoS ONE, 14(10): e0223040.
Published in Workshop on Artificial Intelligence and United Nations Sustainable Development Goals, IJCAI International Joint Conferences on Artificial Intelligence, 2019
Position paper on machine learning potential to track progress on SDG 16.
Recommended citation: Niheer Dasandi and Slava Jankin Mikhaylov (2019). "AI for SDG 16 on Peace, Justice, and Strong Institutions: Tracking Progress and Assessing Impact." AI and UN SDGs Workshop at IJCAI.
Published in The Lancet, 2018
This paper is about the health effects of climate change.
Recommended citation: Nick Watts et al. (2018). "The 2018 report of the Lancet Countdown on health and climate change: shaping the health of nations for centuries to come." The Lancet, 392(10163): 2479-2514.
Published in Philosophical Transactions of the Royal Society A, 2018
This paper is about AI and cross-sectoral collaboration.
Recommended citation: Slava Jankin Mikhaylov, Marc Esteve, and Averill Campion (2018). "Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration." Philosophical Transactions of the Royal Society A, Volume 376, Issue 2128.
Published in The Lancet, 2018
This paper is about the health effects of climate change.
Recommended citation: Nick Watts et al. (2018). "The Lancet countdown on health and climate change: from 25 years of inaction to a global transformation for public health." The Lancet, 391(10120): 581-630.
Published in IEEE Proceedings of the 2017 International Conference on the Frontiers and Advances in Data Science (FADS), 2017
This paper is about preference dynamics in UN General Debates.
Recommended citation: Stefano Gurciullo and Slava Jankin Mikhaylov (2017). "Detecting Policy Preferences and Dynamics in the UN General Debate with Neural Word Embeddings." IEEE Proceedings of the 2017 International Conference on the Frontiers and Advances in Data Science (FADS), 23-25 October 2017, Xi’an, China: 74-79.
Published in IEEE Proceedings of the 2017 International Conference on the Frontiers and Advances in Data Science (FADS), 2017
This paper is about Irish parliamentary debates.
Recommended citation: Alexander Herzog and Slava Jankin Mikhaylov (2017). "Database of Parliamentary Speeches in Ireland, 1919-2013." IEEE Proceedings of the 2017 International Conference on the Frontiers and Advances in Data Science (FADS), 23-25 October 2017, Xi’an, China: 29-34.
Published in Research & Politics, 2017
This paper is about UN General Debate Corpus.
Recommended citation: Alexander Baturo, Niheer Dasandi, and Slava Jankin Mikhaylov (2017). "Understanding State Preferences With Text As Data: Introducing the UN General Debate Corpus." Research & Politics, 4(2).
Published in American Political Science Review, 2016
This paper is about crowdsourcing core political science data.
Recommended citation: Kenneth Benoit, Drew Conway, Benjamin E. Lauderdale, Michael Laver, and Slava Jankin Mikhaylov (2016). "Crowd-Sourced Text Analysis: Reproducible and agile production of political data." American Political Science Review, 110(2): 278-295.
Published in Public Choice, 2016
This paper is about electoral results in Ireland.
Recommended citation: Alexander Baturo and Slava Jankin Mikhaylov (2016). "Blair Disease? Business Careers of the Former Democratic Heads of State and Government." Public Choice, 166: 335-354.
Published in Europe-Asia Studies, 2014
This paper is about elite politics in Russia.
Recommended citation: Alexander Baturo and Slava Jankin Mikhaylov (2014). "Reading The Tea Leaves: Medvedev’s Presidency Through Political Rhetoric Of Federal And Sub-National Actors." Europe-Asia Studies, 66(6): 969-992.
Published in Journal of Elections, Public Opinion and Parties, 2014
This paper is about electoral results in Ireland.
Recommended citation: Michael Marsh and Slava Jankin Mikhaylov (2014). "A Conservative Revolution: The electoral response to economic crisis in Ireland." Journal of Elections, Public Opinion and Parties, 24(2): 160-179.
Published in Political Science Research and Methods, 2013
This paper is about leadership tools.
Recommended citation: Alexander Baturo and Slava Jankin Mikhaylov (2013). "Life of Brian Revisited: Assessing Informational and Non-Informational Leadership Tools." Political Science Research and Methods, 1(1): 139-157.
Published in The Leadership Quarterly, 2013
This paper is about genetics of leadership.
Recommended citation: Jan-Emmanuel De Neve, Slava Jankin Mikhaylov, Christopher T. Dawes, Nicholas A. Christakis, James H. Fowler (2013). "Born to Lead? A Twin Design and Genetic Association Study of Leadership Role Occupancy." The Leadership Quarterly, 24(1): 45-60.
Published in Electoral Studies, 2012
This paper is about using manifestos for policy position estimates.
Recommended citation: Kenneth Benoit, Michael Laver, Will Lowe, and Slava Jankin Mikhaylov (2012). "How to scale coded text units without bias: A response to Gemenis." Electoral Studies, 31(3): 605-608.
Published in Electoral Studies, 2012
This paper is about economic voting in crisis.
Recommended citation: Michael Marsh and Slava Jankin Mikhaylov (2012). "Economic voting in a crisis: the Irish election of 2011." Electoral Studies, 31(3): 478-484.
Published in British Journal of Political Science, 2012
This paper is about text units in human coding, and consequences for bias and error.
Recommended citation: Thomas Daubler, Kenneth Benoit, Slava Jankin Mikhaylov, and Michael Laver (2012). "Natural Sentences as Valid Units for Coded Political Texts." British Journal of Political Science, 42(4): 937-951.
Published in Political Analysis, 2012
This paper is about bias and error in human text coding.
Recommended citation: Slava Jankin Mikhaylov, Michael Laver, and Kenneth Benoit (2012). "Coder Reliability and Misclassification in the Human Coding of Party Manifestos." Political Analysis, 20(1): 78-91.
Published in Legislative Studies Quarterly, 2011
This paper is about scaling models.
Recommended citation: Lowe, Will, Kenneth Benoit, Slava Jankin Mikhaylov, and Michael Laver (2011). "Scaling Policy Preferences From Coded Political Texts." Legislative Studies Quarterly, 36(1, Feb): 123-155.
Published in Living Reviews in European Governance, 2010
This paper is second-order elections.
Recommended citation: Michael Marsh and Slava Jankin Mikhaylov (2010). "European Parliament elections and EU governance." Living Reviews in European Governance, 5(4).
Published in American Journal of Political Science, 2009
This paper is about measurement error in NLP applications in political science.
Recommended citation: Benoit, Kenneth, Michael Laver and Slava Jankin Mikhaylov (2009). "Treating Words as Data with Error: Estimating Uncertainty in Text Statements of Policy Positions." American Journal of Political Science, 53 (2): 495–513.
Published in The Legitimacy of the European Union After Enlargement, Jacques Thomassen (ed.), Oxford University Press, 2009
This paper is about support for European integration.
Recommended citation: Slava Jankin Mikhaylov and Michael Marsh (2009). "Policy Performance and Support for European Integration." In The Legitimacy of the European Union After Enlargement, Jacques Thomassen (ed.), Oxford University Press.
Published in Communist and Post-Communist Studies, 2005
This paper is about the bi-lateral agreements between the federal center and regions in Russia.
Recommended citation: Dusseault, David, Martin Ejnar Hansen, and Slava Jankin Mikhaylov (2005). "The significance of economy in the Russian bi-lateral treaty process." Communist and Post-Communist Studies 38: 121-130.