Slava Jankin

Research output

Research output per year 2009 2017 2018 2020 2021 2022 2023

• 32 Article
• 8 Preprint
• 5 Working paper
• 3 Conference contribution
• 3 More
  • 2 Review article
  • 1 Chapter

Research output per year

Research output per year

Search results

• 2023

  It's Only Words? Analysing the Roots of the Irish Party System Using Historical Parliamentary Debates

  Weeks, L., Mikhaylov, S. J., Herzog, A., Fathartaigh, M. & Bechara, H., 1 Oct 2023, In: Parliamentary Affairs. 76, 4, p. 836-856 21 p.

  Research output: Contribution to journal › Article › peer-review

  • parliamentary debate 100%
  • party system 82%
  • parliament 68%
  • civil war 37%
  • group cohesion 36%

• Towards a climate-resilient healthy future: the Lancet Countdown in Europe 

  Lancet Countdown in Europe consortium, 26 Feb 2023, EGU General Assembly 2023. European Geosciences Union, 3 p. EGU23-13565

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • health 100%
  • Europe 99%
  • climate change 85%
  • climate 78%
  • mitigation 56%
• 2022

  Do intergovernmental organizations have a socialization effect on member state preferences? Evidence from the UN General Debate

  Chelotti, N., Dasandi, N. & Jankin, S., 1 Mar 2022, In: International Studies Quarterly. 66, 1, 17 p., sqab069.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • intergovernmental organizations 100%
  • socialization 64%
  • member state 63%
  • UNO 57%
  • evidence 31%
  157 Downloads (Pure)

• Overcoming the challenges of collaboratively adopting artificial intelligence in the public sector

  Campion, A., Gasco-Hernandez, M., Jankin Mikhaylov, S. & Esteve, M., Apr 2022, In: Social Science Computer Review. 40, 2, p. 462-477 16 p.

  Research output: Contribution to journal › Article › peer-review

  • artificial intelligence 100%
  • Artificial intelligence 87%
  • public sector 82%
  • Data Sharing 68%
  • Time and motion study 26%
  8 Citations (Scopus)

• Positive, global, and health or environment framing bolsters public support for climate policies

  Dasandi, N., Graham, H., Hudson, D., Jankin, S., Vanheerde-hudson, J. & Watts, N., 20 Oct 2022, In: Communications Earth and Environment. 3, 1, 9 p., 239.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • climate policy 100%
  • public support 85%
  • climate change 68%
  • health 36%
  • Group 24%
  187 Downloads (Pure)

• The 2022 Europe report of the Lancet Countdown on health and climate change: towards a climate resilient future

  Van daalen, K. R., Romanello, M., Rocklöv, J., Semenza, J. C., Tonne, C., Markandya, A., Dasandi, N., Jankin, S., Achebak, H., Ballester, J., Bechara, H., Callaghan, M. W., Chambers, J., Dasgupta, S., Drummond, P., Farooq, Z., Gasparyan, O., Gonzalez-Reviriego, N., Hamilton, I., Hänninen, R., & 24 othersKazmierczak, A., Kendrovski, V., Kennard, H., Kiesewetter, G., Lloyd, S. J., Lotto batista, M., Martinez-Urtaza, J., Milà, C., Minx, J. C., Nieuwenhuijsen, M., Palamarchuk, J., Quijal-Zamorano, M., Robinson, E. J. Z., Scamman, D., Schmoll, O., Sewe, M. O., Sjödin, H., Sofiev, M., Solaraju-Murali, B., Springmann, M., Triñanes, J., Anto, J. M., Nilsson, M. & Lowe, R., Nov 2022, In: The Lancet Public Health. 7, 11, p. e942-e965 24 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • climate change 100%
  • climate 94%
  • human health 36%
  • researchers 32%
  266 Downloads (Pure)

• The 2022 report of the Lancet Countdown on health and climate change: health at the mercy of fossil fuels

  Romanello, M., Di Napoli, C., Drummond, P., Green, C., Kennard, H., Lampard, P., Scamman, D., Arnell, N., Ayeb-Karlsson, S., Ford, L. B., Belesova, K., Bowen, K., Cai, W., Callaghan, M., Campbell-Lendrum, D., Chambers, J., van Daalen, K. R., Dalin, C., Dasandi, N., Dasgupta, S., & 79 othersDavies, M., Dominguez-Salas, P., Dubrow, R., Ebi, K. L., Eckelman, M., Ekins, P., Escobar, L. E., Georgeson, L., Graham, H., Gunther, S. H., Hamilton, I., Hang, Y., Hänninen, R., Hartinger, S., He, K., Hess, J. J., Hsu, S-C., Jankin, S., Jamart, L., Jay, O., Kelman, I., Kiesewetter, G., Kinney, P., Kjellstrom, T., Kniveton, D., Lee, J. K. W., Lemke, B., Liu, Y., Liu, Z., Lott, M., Batista, M. L., Lowe, R., MacGuire, F., Sewe, M. O., Martinez-Urtaza, J., Maslin, M., McAllister, L., McGushin, A., McMichael, C., Mi, Z., Milner, J., Minor, K., Minx, J. C., Mohajeri, N., Moradi-Lakeh, M., Morrissey, K., Munzert, S., Murray, K. A., Neville, T., Nilsson, M., Obradovich, N., O'Hare, M. B., Oreszczyn, T., Otto, M., Owfi, F., Pearman, O., Rabbaniha, M., Robinson, E. J. Z., Rocklöv, J., Salas, R. N., Semenza, J. C., Sherman, J. D., Shi, L., Shumake-Guillemot, J., Silbert, G., Sofiev, M., Springmann, M., Stowell, J., Tabatabaei, M., Taylor, J., Triñanes, J., Wagner, F., Wilkinson, P., Winning, M., Yglesias-González, M., Zhang, S., Gong, P., Montgomery, H. & Costello, A., 5 Nov 2022, In: The Lancet. 400, 10363, p. 1619-1654 36 p.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  • Fossil Fuels 100%
  • Climate Change 82%
  • Health 29%
  • Economics 23%
  • Ukraine 20%

• The German coal debate on Twitter: reactions to a corporate policy process

  Müller-Hansen, F., Lee, Y. T., Callaghan, M., Jankin, S. & Minx, J. C., Oct 2022, In: Energy Policy. 169, 11 p., 113178.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Coal 100%
  • coal 80%
  • policy 74%
  • public 30%
  • stakeholder 24%
  6 Downloads (Pure)

• The inclusion of health in major global reports on climate change and biodiversity

  Dasandi, N., Cai, W., Friberg, P., Jankin, S., Kuylenstierna, J. & Nilsson, M., 14 Jun 2022, In: BMJ Global Health. 7, 6, 4 p., e008731.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • biodiversity 100%
  • health 94%
  • international organization 83%
  • biodiversity loss 82%
  • climate change 80%
  13 Downloads (Pure)
• 2021

  Engagement with health in national climate change commitments under the Paris Agreement: a global mixed-methods analysis of the nationally determined contributions

  Dasandi, N., Graham, H., Lampard, P. & Jankin, S., 10 Feb 2021, In: The Lancet Planetary Health. 5, 2, p. e93-e101

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Climate Change 100%
  • Paris 87%
  • Health 35%
  • Climate 34%
  • Natural Language Processing 17%
  3 Citations (Scopus)

  154 Downloads (Pure)

• Intergovernmental engagement on health impacts of climate change

  Dasandi, N., Graham, H., Lampard, P. & Jankin, S., 1 Feb 2021, In: Bulletin of the World Health Organization. 99, 2, p. 102-111B

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Climate Change 100%
  • climate change 61%
  • United Nations 38%
  • Health 35%
  • health 32%
  1 Citation (Scopus)

  148 Downloads (Pure)

• Ireland: The Paradox of a Weak Legislature in a Candidate-centered System

  Herzog, A., Mikhaylov, S. J. & Weeks, L., 8 Oct 2021, The Politics of Legislative Debates. Back, H., Debus, M. & Fernandes, J. M. (eds.). Oxford University Press, p. 463-483 21 p. (The Oxford Politics of Institutions).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Ireland 100%
  • parliament 97%
  • candidacy 81%
  • legislative process 43%
  • electoral system 40%

• The 2020 report of The Lancet Countdown on health and climate change: responding to converging crises

  Watts, N., Amann, M., Arnell, N., Ayeb-karlsson, S., Beagley, J., Belesova, K., Boykoff, M., Byass, P., Cai, W., Campbell-lendrum, D., Capstick, S., Chambers, J., Coleman, S., Dalin, C., Daly, M., Dasandi, N., Dasgupta, S., Davies, M., Di Napoli, C., Dominguez-salas, P., & 67 othersDrummond, P., Dubrow, R., Ebi, K. L., Eckelman, M., Ekins, P., Escobar, L. E., Georgeson, L., Golder, S., Grace, D., Graham, H., Haggar, P., Hamilton, I., Hartinger, S., Hess, J., Hsu, S., Hughes, N., Jankin Mikhaylov, S., Jimenez, M. P., Kelman, I., Kennard, H., Kiesewetter, G., Kinney, P. L., Kjellstrom, T., Kniveton, D., Lampard, P., Lemke, B., Liu, Y., Liu, Z., Lott, M., Lowe, R., Martinez-urtaza, J., Maslin, M., Mcallister, L., Mcgushin, A., Mcmichael, C., Milner, J., Moradi-lakeh, M., Morrissey, K., Munzert, S., Murray, K. A., Neville, T., Nilsson, M., Sewe, M. O., Oreszczyn, T., Otto, M., Owfi, F., Pearman, O., Pencheon, D., Quinn, R., Rabbaniha, M., Robinson, E., Rocklöv, J., Romanello, M., Semenza, J. C., Sherman, J., Shi, L., Springmann, M., Tabatabaei, M., Taylor, J., Triñanes, J., Shumake-guillemot, J., Vu, B., Wilkinson, P., Winning, M., Gong, P., Montgomery, H. & Costello, A., 9 Jan 2021, In: The Lancet. 397, 10269, p. 129-170 42 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  52 Citations (Scopus)

• The 2021 report of the Lancet Countdown on health and climate change: code red for a healthy future

  Romanello, M., Mcgushin, A., Di Napoli, C., Drummond, P., Hughes, N., Jamart, L., Kennard, H., Lampard, P., Solano Rodriguez, B., Arnell, N., Ayeb-karlsson, S., Belesova, K., Cai, W., Campbell-lendrum, D., Capstick, S., Chambers, J., Chu, L., Ciampi, L., Dalin, C., Dasandi, N., & 73 othersDasgupta, S., Davies, M., Dominguez-salas, P., Dubrow, R., Ebi, K. L., Eckelman, M., Ekins, P., Escobar, L. E., Georgeson, L., Grace, D., Graham, H., Gunther, S. H., Hartinger, S., He, K., Heaviside, C., Hess, J., Hsu, S., Jankin, S., Jimenez, M. P., Kelman, I., Kiesewetter, G., Kinney, P. L., Kjellstrom, T., Kniveton, D., Lee, J. K. W., Lemke, B., Liu, Y., Liu, Z., Lott, M., Lowe, R., Martinez-urtaza, J., Maslin, M., Mcallister, L., Mcmichael, C., Mi, Z., Milner, J., Minor, K., Mohajeri, N., Moradi-lakeh, M., Morrissey, K., Munzert, S., Murray, K. A., Neville, T., Nilsson, M., Obradovich, N., Sewe, M. O., Oreszczyn, T., Otto, M., Owfi, F., Pearman, O., Pencheon, D., Rabbaniha, M., Robinson, E., Rocklöv, J., Salas, R. N., Semenza, J. C., Sherman, J., Shi, L., Springmann, M., Tabatabaei, M., Taylor, J., Trinanes, J., Shumake-guillemot, J., Vu, B., Wagner, F., Wilkinson, P., Winning, M., Yglesias, M., Zhang, S., Gong, P., Montgomery, H., Costello, A. & Hamilton, I., 20 Oct 2021, In: The Lancet. 398, 10311, p. 1619-1662 44 p.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  • Climate Change 100%
  • United Nations 36%
  • Health 35%
  • Climate 33%
  • Planets 21%

• Tracking progress on health and climate change in Europe

  Romanello, M., van Daalen, K., Antó, J. M., Dasandi, N., Drummond, P., Hamilton, I. G., Jankin, S., Kendrovski, V., Lowe, R., Rocklov, J., Schmoll, O., Semenza, J. C., Tonne, C. & Nilsson, M., Nov 2021, In: The Lancet Public Health. 6, 11, p. e858-e865 8 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Climate Change 100%
  • climate change 61%
  • Health 35%
  • health 32%
  • Climate 23%
  47 Downloads (Pure)

• Transfer learning for topic labeling: analysis of the UK House of Commons speeches 1935–2014

  Béchara, H., Herzog, A., Jankin, S. & John, P., 10 Jun 2021, In: Research and Politics. 8, 2, 10 p., 205316802110222.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Transfer learning 100%
  • Labeling 81%
  • Labels 53%
  • Neural networks 12%
  3 Downloads (Pure)
• 2020

  Big data to the rescue? Challenges in analysing granular household electricity consumption in the United Kingdom

  Ushakova, A. & Jankin, S., Jun 2020, In: Energy Research & Social Science. 64, 101428.

  Research output: Contribution to journal › Article › peer-review

  • electricity consumption 100%
  • Smart meters 78%
  • Big data 57%
  • Electricity 47%
  • energy 33%

• Deep Learning for Political Science

  Chatsiou, K. & Mikhaylov, S. J., 13 May 2020, In: The SAGE Handbook of Research Methods in Political Science and International Relations,.

  Research output: Contribution to journal › Article › peer-review

  File

  • political science 100%
  • artificial intelligence 54%
  • social science 38%
  • pattern recognition 37%
  • learning 37%
  48 Downloads (Pure)

• Improving public services by mining citizen feedback: An application of natural language processing

  Kowalski, R., Esteve, M. & Jankin Mikhaylov, S., Dec 2020, In: Public Administration. 98, 4, p. 1011-1026 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • public service 100%
  • citizen 70%
  • public administration 18%
  • driver 16%
  • staff 11%
  10 Citations (Scopus)

• Intra-cabinet politics and fiscal governance in times of austerity

  Herzog, A. & Mikhaylov, S. J., 2020, In: Political Science Research and Methods. 8, 3, p. 409-424 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • governance 100%
  • minister 91%
  • politics 85%
  • budget 61%
  • time 53%
  2 Citations (Scopus)

• Managing Artificial Intelligence Deployment in the Public Sector

  Campion, A., Hernandez, M-G., Mikhaylov jankin, S. & Esteve, M., 1 Oct 2020, In: Computer. 53, 10, p. 28-37

  Research output: Contribution to journal › Article › peer-review

  • Data Analytics 100%
  • Artificial intelligence 79%
• 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

  Watts, N., Amann, M., Arnell, N., Ayeb-Karlsson, S., Belesova, K., Boykoff, M., Byass, P., Cai, W., Campbell-Lendrum, D., Capstick, S., Chambers, J., Dalin, C., Daly, M., Dasandi, N., Davies, M., Drummond, P., Dubrow, R., Ebi, K. L., Eckelman, M., Ekins, P., & 49 othersEscobar, L. E., Fernandez montoya, L., Georgeson, L., Graham, H., Haggar, P., Hamilton, I., Hartinger, S., Hess, J., Kelman, I., Kiesewetter, G., Kjellstrom, T., Kniveton, D., Lemke, B., Liu, Y., Lott, M., Lowe, R., Sewe, M. O., Martinez-Urtaza, J., Maslin, M., Mcallister, L., Mcgushin, A., Jankin mikhaylov, S., Milner, J., Moradi-Lakeh, M., Morrissey, K., Murray, K., Munzert, S., Nilsson, M., Neville, T., Oreszczyn, T., Owfi, F., Pearman, O., Pencheon, D., Phung, D., Pye, S., Quinn, R., Rabbaniha, M., Robinson, E., Rocklöv, J., Semenza, J. C., Sherman, J., Shumake-Guillemot, J., Tabatabaei, M., Taylor, J., Trinanes, J., Wilkinson, P., Costello, A., Gong, P. & Montgomery, H., 16 Nov 2019, In: The Lancet. 394, 10211, p. 1836-1878 43 p.

  Research output: Contribution to journal › Article › peer-review
  343 Citations (Scopus)
• 2018

  Artificial intelligence for the public sector: Opportunities and challenges of cross-sector collaboration

  Mikhaylov, S. J., Esteve, M. & Campion, A., 2018, In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 376, 2128, 20170357.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Public Sector 100%
  • artificial intelligence 81%
  • Collaboration 69%
  • Artificial Intelligence 66%
  • Sector 57%
  61 Citations (Scopus)

• Big Data and AI – A transformational shift for government: So, what next for research?

  Pencheva, I., Esteve, M. & Mikhaylov, S. J., 2018, (Accepted/In press) In: Public Policy and Administration.

  Research output: Contribution to journal › Article › peer-review

  • artificial intelligence 100%
  • public sector 54%
  • field research 32%
  • literature 27%
  • manager 23%
  48 Citations (Scopus)

• Disunited Nations? A Multiplex Network Approach to Detecting Preference Affinity Blocs using Texts and Votes

  Pomeroy, C., Dasandi, N. & Mikhaylov, S. J., 1 Feb 2018.

  Research output: Working paper/Preprint › Preprint

  File

  • voter 100%
  • polarization 94%
  • international relations 54%
  • foreign policy 26%
  • literature 26%
  12 Downloads (Pure)

• The 2018 report of the Lancet Countdown on health and climate change: shaping the health of nations for centuries to come

  Watts, N., Amann, M., Arnell, N., Ayeb-Karlsson, S., Belesova, K., Berry, H., Bouley, T., Boykoff, M., Byass, P., Cai, W., Campbell-Lendrum, D., Chambers, J., Daly, M., Dasandi, N., Davies, M., Depoux, A., Dominguez-Salas, P., Drummond, P., Ebi, K. L., Ekins, P., & 48 othersMontoya, L. F., Fischer, H., Georgeson, L., Grace, D., Graham, H., Hamilton, I., Hartinger, S., Hess, J., Kelman, I., Kiesewetter, G., Kjellstrom, T., Kniveton, D., Lemke, B., Liang, L., Lott, M., Lowe, R., Sewe, M. O., Martinez-Urtaza, J., Maslin, M., Mcallister, L., Mikhaylov, S. J., Milner, J., Moradi-Lakeh, M., Morrissey, K., Murray, K., Nilsson, M., Neville, T., Oreszczyn, T., Owfi, F., Pearman, O., Pencheon, D., Pye, S., Rabbaniha, M., Robinson, E., Rocklöv, J., Saxer, O., Schütte, S., Semenza, J. C., Shumake-Guillemot, J., Steinbach, R., Tabatabaei, M., Tomei, J., Trinanes, J., Wheeler, N., Wilkinson, P., Gong, P., Montgomery, H. & Costello, A., 8 Dec 2018, In: The Lancet. 392, 10163, p. 2479-2514 36 p.

  Research output: Contribution to journal › Article › peer-review
  292 Citations (Scopus)

• Transfer Topic Labeling with Domain-Specific Knowledge Base: An Analysis of UK House of Commons Speeches 1935-2014

  Herzog, A., John, P. & Mikhaylov, S. J., 3 Jun 2018.

  Research output: Working paper/Preprint › Preprint

  File

  • Labeling 100%
  • Labels 58%
  • Dynamic models 27%
  25 Downloads (Pure)

• Transfer Topic Labeling with Domain-Specific Knowledge Base: An Analysis of UK House of Commons Speeches 1935-2014

  Herzog, A., John, P. & Jankin, S., 3 Jun 2018.

  Research output: Working paper/Preprint › Working paper

  • Labeling 100%
  • Labels 58%
  • Dynamic models 27%
• 2017

  Application of Natural Language Processing to Determine User Satisfaction in Public Services

  Kowalski, R., Esteve, M. & Mikhaylov, S. J., 21 Nov 2017.

  Research output: Working paper/Preprint › Preprint

  File

  • Natural Language Processing (NLP) 100%
  • User Satisfaction 77%
  • Public Services 66%
  • Primary Care 63%
  • Topic Model 36%
  28 Downloads (Pure)

• Database of parliamentary speeches in Ireland, 1919-2013

  Herzog, A. & Mikhaylov, S. J., 1 Jul 2017, Conference Proceedings - 2017 International Conference on the Frontiers and Advances in Data Science, FADS 2017. Institute of Electrical and Electronics Engineers (IEEE), p. 29-34 6 p. (Conference Proceedings - 2017 International Conference on the Frontiers and Advances in Data Science, FADS 2017; vol. 2018-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Data Innovation for International Development: An overview of natural language processing for qualitative data analysis

  Broniecki, P., Hanchar, A. & Mikhaylov, S. J., 16 Sept 2017.

  Research output: Working paper/Preprint › Preprint

  File

  • Decision making 100%
  • Availability 49%
  • Monitoring 38%
  28 Downloads (Pure)

• Data Innovation for International Development: An overview of natural language processing for qualitative data analysis

  Broniecki, P., Hanchar, A. & Jankin, S., 16 Sept 2017.

  Research output: Working paper/Preprint › Working paper

  • Decision making 100%
  • Availability 49%
  • Monitoring 38%

• Detecting policy preferences and dynamics in the un general debate with neural word embeddings

  Gurciullo, S. & Mikhaylov, S. J., 1 Jul 2017, Conference Proceedings - 2017 International Conference on the Frontiers and Advances in Data Science, FADS 2017. Institute of Electrical and Electronics Engineers (IEEE), p. 74-79 6 p. (Conference Proceedings - 2017 International Conference on the Frontiers and Advances in Data Science, FADS 2017; vol. 2018-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semantics 100%
  • Transparency 38%
  8 Citations (Scopus)

• Learning to Predict with Highly Granular Temporal Data: Estimating individual behavioral profiles with smart meter data

  Ushakova, A. & Jankin, S., 15 Nov 2017.

  Research output: Working paper/Preprint › Working paper

  • learning 100%
  • social dynamics 34%
  • social behavior 32%
  • social media 30%
  • social science 26%

• Learning to Predict with Highly Granular Temporal Data: Estimating individual behavioral profiles with smart meter data

  Ushakova, A. & Mikhaylov, S. J., 15 Nov 2017.

  Research output: Working paper/Preprint › Preprint

  File

  • learning 100%
  • social dynamics 34%
  • social behavior 32%
  • social media 30%
  • social science 26%
  19 Downloads (Pure)

• Topology Analysis of International Networks Based on Debates in the United Nations

  Gurciullo, S. & Mikhaylov, S., 29 Jul 2017.

  Research output: Working paper/Preprint › Preprint

  File

  • Semantics 100%
  • Topology 99%
  • Information theory 56%
  • Dimensionality reduction 53%
  • Machine learning 35%
  12 Downloads (Pure)

• What Drives the International Development Agenda? An NLP Analysis of the United Nations General Debate 1970-2016

  Baturo, A., Dasandi, N. & Mikhaylov, S. J., 19 Aug 2017.

  Research output: Working paper/Preprint › Preprint

  File

  • UNO 100%
  • world politics 30%
  • member state 22%
  • rhetoric 21%
  • driver 21%
  12 Downloads (Pure)

• What Drives the International Development Agenda? An NLP Analysis of the United Nations General Debate 1970-2016

  Baturo, A., Dasandi, N. & Jankin, S., 19 Aug 2017.

  Research output: Working paper/Preprint › Working paper

  • UNO 100%
  • world politics 30%
  • member state 22%
  • rhetoric 21%
  • driver 21%
• 2016

  Blair disease? Business careers of the former democratic heads of state and government

  Baturo, A. & Mikhaylov, S., 11 Apr 2016, In: Public Choice. 166, 3-4, p. 335-354

  Research output: Contribution to journal › Article › peer-review

  • head of state 100%
  • career 49%
  • leader 49%
  • Compensation rates 46%
  • Government 44%

• Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data

  Benoit, K., Conway, D., Lauderdale, B. E., Laver, M. & Mikhaylov, S., 2016, In: American Political Science Review. 110, 2, p. 278-295

  Research output: Contribution to journal › Article › peer-review

  • text analysis 100%
  • expert 42%
  • social science 23%
  • interpretation 10%
• 2015

  Complex Politics: A Quantitative Semantic and Topological Analysis of UK House of Commons Debates

  Gurciullo, S., Smallegan, M., Pereda, M., Battiston, F., Patania, A., Poledna, S., Hedblom, D., Oztan, B. T., Herzog, A., John, P. & Mikhaylov, S., 13 Oct 2015.

  Research output: Working paper/Preprint › Preprint

  File

  • political system 100%
  • semantics 87%
  • politics 60%
  • data analysis 41%
  • time 19%
  32 Downloads (Pure)

• Complex Politics: A Quantitative Semantic and Topological Analysis of UK House of Commons Debates

  Gurciullo, S., Smallegan, M., Pereda, M., Battiston, F., Patania, A., Poledna, S., Hedblom, D., Oztan, B. T., Herzog, A., John, P. & Jankin, S., 13 Oct 2015.

  Research output: Working paper/Preprint › Working paper

  • political system 100%
  • semantics 87%
  • politics 60%
  • data analysis 41%
  • time 19%
• 2014

  A Conservative Revolution: The Electoral Response to Economic Crisis in Ireland

  Marsh, M. & Mikhaylov, S., 2014, In: Journal of Elections, Public Opinion and Parties. 24, 2, p. 160-179

  Research output: Contribution to journal › Article › peer-review

  • Ireland 100%
  • economic crisis 99%
  • election 78%
  • voting 30%
  • voting behavior 20%

• Reading the Tea Leaves: Medvedev's Presidency through Political Rhetoric of Federal and Sub-National Actors

  Baturo, A. & Mikhaylov, S., 2014, In: Europe - Asia Studies. 66, 6, 969-992.

  Research output: Contribution to journal › Article › peer-review

  • rhetoric 100%
  • text analysis 70%
  • political regime 69%
  • distribution of power 68%
  • politician 49%
• 2013

  Born to lead? A twin design and genetic association study of leadership role occupancy

  De Neve, J-E., Mikhaylov, S., Dawes, C. T., Christakis, N. A. & Fowler, J. H., 2013, In: Leadership Quarterly. 24, 1, p. 45-60

  Research output: Contribution to journal › Article › peer-review

  • Leadership Roles 100%
  • Genetic Association Studies 92%
  • Twins 92%
  • leadership 55%
  • Gene 51%
• 2012

  Coder reliability and misclassification in the human coding of party manifestos

  Mikhaylov, S., Laver, M. & Benoit, K. R., 2012, In: Political Analysis.

  Research output: Contribution to journal › Article › peer-review

• Economic voting in a crisis: The Irish election of 2011

  Marsh, M. & Mikhaylov, S., 2012, In: Electoral Studies.

  Research output: Contribution to journal › Article › peer-review

• How to scale coded text units without bias: A response to Gemenis

  Benoit, K., Laver, M., Lowe, W. & Mikhaylov, S., 2012, In: Electoral Studies.

  Research output: Contribution to journal › Article › peer-review

• Natural sentences as valid units for coded political texts

  Däubler, T., Benoit, K., Mikhaylov, S. & Laver, M., 2012, In: British Journal of Political Science.

  Research output: Contribution to journal › Article › peer-review
• 2010

  European parliament elections and EU governance

  Marsh, M. & Mikhaylov, S., 2010, In: Living Reviews in European Governance.

  Research output: Contribution to journal › Article › peer-review