Education


Employment


Publications

Peer reviewed
  1. Cornford, R., Millard, J., González‐Suárez, M., Freeman, R. and Johnson, T.F (2022) Automated synthesis of biodiversity knowledge requires better tools and standardised research output. Ecography, DOI: https://doi.org/10.1111/ecog.06068
  2. Millard, J., Freeman, R., Newbold, T., 2020. Text-analysis reveals taxonomic and geographic disparities in animal pollination literature. Ecography, DOI: https://doi.org/10.1111/ecog.04532
  3. Millard, J., Gregory, R., Jones, K., Freeman, R, 2020. The species awareness index as a conservation culturomics metric for public biodiversity awareness. Conservation Biology, DOI: https://doi.org/10.1101/2020.08.17.254177.
  4. Millard, J., Outhwaite, C., Kinnersley, R., Freeman, R., Gregory, R., Adedoja, O., Gavini, S., Kioko, E., Kuhlmann, M., Ollerton, J., Ren, Z-X., and Newbold, T., Global effects of land-use intensity on local pollinator biodiversity. Nature Communications, DOI: https://doi.org/10.1038/s41467-021-23228-3
  5. Newbold, T., Adams, G.L., Robles, G.A., Boakes, E.H., Ferreira, G.B., Chapman, A.S., Etard, A., Gibb, R., Millard, J., Outhwaite, C.L. and Williams, J.J., 2019. Climate and land-use change homogenise terrestrial biodiversity, with consequences for ecosystem functioning and human well-being. Emerging Topics in Life Sciences, DOI: https://doi.org/10.1042/ETLS20180135
  6. Johnson, T. F., Cornford, R., Dove, S., Freeman, R., Millard, J. Achieving a real-time online monitoring system for conservation culturomics. Conservation Biology, DOI: https://doi.org/10.1111/cobi.14096
  7. Skinner, S., Purvis, A., Cooke, R., Raw, C., K, Junghyuk., Millard, J. Dynameta: a dynamic platform for ecological meta-analyses in R Shiny. SoftwareX. DOI: https://doi.org/10.1016/j.softx.2023.101439
  8. Millard, J., Outhwaite, O., Dicks, L., Ollerton, J., Ceausu, S., Newbold, T., Key tropical crops at risk from pollinator biodiversity loss due to climate change and land use. Science Advances, DOI: https://doi.org/10.1126/sciadv.adh0756
  9. Verissimo, D., Johnson, T., Millard, J., Roll, U., Adopt digital tools to monitor social dimensions of the global biodiversity framework. Conservation Letters. DOI: https://doi.org/10.1111/conl.12991
  10. Scheepens, D., Freeman, R., Millard, J., Newbold, T., Large language models help facilitate the automated synthesis of information on potential pest controllers. Methods in Ecology and Evolution. DOI: https://doi.org/10.1111/2041-210X.14341
  11. Williams, J., Newbold, T., Millard, J., Groner, V., Pearson, R., Important pollinators respond less negatively to anthropogenic land use than other animals. Ecology and Evolution (in press)
  12. Millard, J., Christie, A., Dicks, L., Isip, J., Johnson, T., Skinner, G., Spake, R., ChatGPT is likely reducing opportunity for support, friendship, and learned kindness in research (in press). Methods in Ecology and Evolution
  13. Johnson, T.F., Simmons, B., Millard, J., Strydom, T., Danet A., Evans, L., Pressure to publish introduces LLM risks (in press). Methods in Ecology and Evolution
In prep
  1. Millard, J., Akimova, E., Ding, X., Leasure, D., Zhao, B., Mills, M., Stringent COVID-19 government restrictions were associated with a marked increase in Twitter activity in Europe. SocArXiv. DOI: https://doi.org/10.31235/osf.io/g9apk
  2. Millard, J. Mobilising central bank digital currency to bend the curve of biodiversity loss. EcoEvoRxiv. DOI: https://doi.org/10.32942/X2TC7H
  3. Barnes, L., Wenban-Smith, E., Dicks, L., Millard, J., Bladon, A., Meta-analysis shows livestock farming reduces aquatic insect species richness but not total abundance
  4. Skinner, G., Cooke, R., Millard, J., Global meta-analysis reveals overall negative impacts of invasive species on terrestrial insects, despite highly variable responses
  5. Millard, J., Skinner, G., Bladon A., Cooke R., Outhwaite, C., Rodger, J., Isip, J., Keum, K., Raw, C., Dicks, L., Hui, C., Jones, J., Woodcock, B., Isaac, N., Purvis, A. A multi-threat meta-analytic database for understanding insect biodiversity change
  6. Cooke, R., Outhwaite, C., Bladon, A., Millard, J., Rodger, J., Dong, Z., Dyer E., Edney, S., Murphy, J., Dicks, L., Hui, C., Jones, I., Newbold, T., Purvis, A., Roy, H., Woodcock, B., & Isaac, N. J. B. Integrating evidence across time, space, experiments, and experts to understand insect change
  7. Cooke, R., Outhwaite, C., Bladon, A., Millard, J., Rodger, J., Dong, Z., Dyer E., Edney, S., Murphy, J., Dicks, L., Hui, C., Jones, I., Newbold, T., Purvis, A., Roy, H., Woodcock, B., & Isaac, N. J. B. Insect Insect Time Series (IN-TIME), a database of worldwide insect trends
  8. Wenban-Smith, E., Barnes, L., Millard, J., Dicks, L., Turner, E,. Bladon, A., Meta-analysis of extreme temperature effects on the abundance and survival of Hymenoptera and Lepidoptera
  9. Outhwaite, C., Purvis A., Newbold, T., Bladon, A., Cooke, R., Millard, J., Dicks L., Isaac, N., The response of Hymenopteran (Bees, Wasps & Ants) biodiversity to a changing world
  10. Millard, J., Varah, A., Isip, J., Tudge, S., Contu, S., Burton, V., Johnson, T., Purvis, A., De Palma, A., Predictions of biodiversity change are question dependent

Invited talks and Symposia