TY - JOUR A1 - Keller, Matthias A1 - Lenz, Daniel A1 - Schmidt, Marcel A1 - Schwarz, Michael T1 - Boundary representation of Dirichlet forms on discrete spaces JF - Journal de Mathématiques Pures et Appliquées N2 - We describe the set of all Dirichlet forms associated to a given infinite graph in terms of Dirichlet forms on its Royden boundary. Our approach is purely analytical and uses form methods. (C) 2018 Elsevier Masson SAS. KW - Dirichlet form KW - Royden boundary KW - Infinite graph KW - Harmonic measure KW - Trace Dirichlet form Y1 - 2019 U6 - https://doi.org/10.1016/j.matpur.2018.10.005 SN - 0021-7824 SN - 1776-3371 VL - 126 SP - 109 EP - 143 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Keller, Matthias A1 - Lenz, Daniel A1 - Münch, Florentin A1 - Schmidt, Marcel A1 - Telcs, Andras T1 - Note on short-time behavior of semigroups associated to self-adjoint operators JF - Bulletin of the London Mathematical Society N2 - We present a simple observation showing that the heat kernel on a locally finite graph behaves for short times t roughly like t(d), where d is the combinatorial distance. This is very different from the classical Varadhan-type behavior on manifolds. Moreover, this also gives that short-time behavior and global behavior of the heat kernel are governed by two different metrics whenever the degree of the graph is not uniformly bounded. Y1 - 2016 U6 - https://doi.org/10.1112/blms/bdw054 SN - 0024-6093 SN - 1469-2120 VL - 48 SP - 935 EP - 944 PB - Oxford Univ. Press CY - Oxford ER - TY - GEN A1 - Ribeiro Martins, Renata Filipa A1 - Fickel, Jörns A1 - Le, Minh A1 - Nguyen, Thanh van A1 - Nguyen, Ha M. A1 - Timmins, Robert A1 - Gan, Han Ming A1 - Rovie-Ryan, Jeffrine J. A1 - Lenz, Dorina A1 - Förster, Daniel W. A1 - Wilting, Andreas T1 - Phylogeography of red muntjacs reveals three distinct mitochondrial lineages T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Background The members of the genus Muntiacus are of particular interest to evolutionary biologists due to their extreme chromosomal rearrangements and the ongoing discussions about the number of living species. Red muntjacs have the largest distribution of all muntjacs and were formerly considered as one species. Karyotype differences led to the provisional split between the Southern Red Muntjac (Muntiacus muntjak) and the Northern Red Muntjac (M. vaginalis), but uncertainties remain as, so far, no phylogenetic study has been conducted. Here, we analysed whole mitochondrial genomes of 59 archival and 16 contemporaneous samples to resolve uncertainties about their taxonomy and used red muntjacs as model for understanding the evolutionary history of other species in Southeast Asia. Results We found three distinct matrilineal groups of red muntjacs: Sri Lankan red muntjacs (including the Western Ghats) diverged first from other muntjacs about 1.5 Mya; later northern red muntjacs (including North India and Indochina) and southern red muntjacs (Sundaland) split around 1.12 Mya. The diversification of red muntjacs into these three main lineages was likely promoted by two Pleistocene barriers: one through the Indian subcontinent and one separating the Indochinese and Sundaic red muntjacs. Interestingly, we found a high level of gene flow within the populations of northern and southern red muntjacs, indicating gene flow between populations in Indochina and dispersal of red muntjacs over the exposed Sunda Shelf during the Last Glacial Maximum. Conclusions Our results provide new insights into the evolution of species in South and Southeast Asia as we found clear genetic differentiation in a widespread and generalist species, corresponding to two known biogeographical barriers: The Isthmus of Kra and the central Indian dry zone. In addition, our molecular data support either the delineation of three monotypic species or three subspecies, but more importantly these data highlight the conservation importance of the Sri Lankan/South Indian red muntjac. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 973 KW - phylogeography KW - archival DNA KW - Muntjac KW - Southeast Asia KW - species complex Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-430780 SN - 1866-8372 IS - 973 ER - TY - JOUR A1 - Martins, Renata F. A1 - Fickel, Jörns A1 - Minh Le, A1 - Thanh Van Nguyen, A1 - Nguyen, Ha M. A1 - Timmins, Robert A1 - Gan, Han Ming A1 - Rovie-Ryan, Jeffrine J. A1 - Lenz, Dorina A1 - Förster, Daniel W. A1 - Wilting, Andreas T1 - Phylogeography of red muntjacs reveals three distinct mitochondrial lineages JF - BMC evolutionary biology N2 - Background: The members of the genus Muntiacus are of particular interest to evolutionary biologists due to their extreme chromosomal rearrangements and the ongoing discussions about the number of living species. Red muntjacs have the largest distribution of all muntjacs and were formerly considered as one species. Karyotype differences led to the provisional split between the Southern Red Muntjac (Muntiacus muntjak) and the Northern Red Muntjac (M. vaginalis), but uncertainties remain as, so far, no phylogenetic study has been conducted. Here, we analysed whole mitochondrial genomes of 59 archival and 16 contemporaneous samples to resolve uncertainties about their taxonomy and used red muntjacs as model for understanding the evolutionary history of other species in Southeast Asia. Results: We found three distinct matrilineal groups of red muntjacs: Sri Lankan red muntjacs (including the Western Ghats) diverged first from other muntjacs about 1.5 Mya; later northern red muntjacs (including North India and Indochina) and southern red muntjacs (Sundaland) split around 1.12 Mya. The diversification of red muntjacs into these three main lineages was likely promoted by two Pleistocene barriers: one through the Indian subcontinent and one separating the Indochinese and Sundaic red muntjacs. Interestingly, we found a high level of gene flow within the populations of northern and southern red muntjacs, indicating gene flow between populations in Indochina and dispersal of red muntjacs over the exposed Sunda Shelf during the Last Glacial Maximum. Conclusions: Our results provide new insights into the evolution of species in South and Southeast Asia as we found clear genetic differentiation in a widespread and generalist species, corresponding to two known biogeographical barriers: The Isthmus of Kra and the central Indian dry zone. In addition, our molecular data support either the delineation of three monotypic species or three subspecies, but more importantly these data highlight the conservation importance of the Sri Lankan/South Indian red muntjac. KW - Phylogeography KW - Archival DNA KW - Muntjac KW - Southeast Asia KW - Species complex Y1 - 2017 U6 - https://doi.org/10.1186/s12862-017-0888-0 SN - 1471-2148 VL - 17 IS - 34 PB - BioMed Central CY - London ER - TY - JOUR A1 - Förster, Daniel W. A1 - Bull, James K. A1 - Lenz, Dorina A1 - Autenrieth, Marijke A1 - Paijmans, Johanna L. A. A1 - Kraus, Robert H. S. A1 - Nowak, Carsten A1 - Bayerl, Helmut A1 - Kühn, Ralph A1 - Saveljev, Alexander P. A1 - Sindicic, Magda A1 - Hofreiter, Michael A1 - Schmidt, Krzysztof A1 - Fickel, Jörns T1 - Targeted resequencing of coding DNA sequences for SNP discovery in nonmodel species JF - Molecular ecology resources N2 - Targeted capture coupled with high-throughput sequencing can be used to gain information about nuclear sequence variation at hundreds to thousands of loci. Divergent reference capture makes use of molecular data of one species to enrich target loci in other (related) species. This is particularly valuable for nonmodel organisms, for which often no a priori knowledge exists regarding these loci. Here, we have used targeted capture to obtain data for 809 nuclear coding DNA sequences (CDS) in a nonmodel organism, the Eurasian lynx Lynx lynx, using baits designed with the help of the published genome of a related model organism (the domestic cat Felis catus). Using this approach, we were able to survey intraspecific variation at hundreds of nuclear loci in L. lynx across the species’ European range. A large set of biallelic candidate SNPs was then evaluated using a high-throughput SNP genotyping platform (Fluidigm), which we then reduced to a final 96 SNP-panel based on assay performance and reliability; validation was carried out with 100 additional Eurasian lynx samples not included in the SNP discovery phase. The 96 SNP-panel developed from CDS performed very successfully in the identification of individuals and in population genetic structure inference (including the assignment of individuals to their source population). In keeping with recent studies, our results show that genic SNPs can be valuable for genetic monitoring of wildlife species. KW - CDS KW - conservation genetics KW - Eurasian lynx KW - genetic monitoring KW - hybridization capture KW - single nucleotide polymorphism Y1 - 2018 U6 - https://doi.org/10.1111/1755-0998.12924 SN - 1755-098X SN - 1755-0998 VL - 18 IS - 6 SP - 1356 EP - 1373 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Patel, Riddhi P. A1 - Wutke, Saskia A1 - Lenz, Dorina A1 - Mukherjee, Shomita A1 - Ramakrishnan, Uma A1 - Veron, Geraldine A1 - Fickel, Jörns A1 - Wilting, Andreas A1 - Förster, Daniel W. T1 - Genetic Structure and Phylogeography of the Leopard Cat (Prionailurus bengalensis) Inferred from Mitochondrial Genomes JF - Journal of Heredity N2 - The Leopard cat Prionailurus bengalensis is a habitat generalist that is widely distributed across Southeast Asia. Based on morphological traits, this species has been subdivided into 12 subspecies. Thus far, there have been few molecular studies investigating intraspecific variation, and those had been limited in geographic scope. For this reason, we aimed to study the genetic structure and evolutionary history of this species across its very large distribution range in Asia. We employed both PCR-based (short mtDNA fragments, 94 samples) and high throughput sequencing based methods (whole mitochondrial genomes, 52 samples) on archival, noninvasively collected and fresh samples to investigate the distribution of intraspecific genetic variation. Our comprehensive sampling coupled with the improved resolution of a mitochondrial genome analyses provided strong support for a deep split between Mainland and Sundaic Leopard cats. Although we identified multiple haplogroups within the species’ distribution, we found no matrilineal evidence for the distinction of 12 subspecies. In the context of Leopard cat biogeography, we cautiously recommend a revision of the Prionailurus bengalensis subspecific taxonomy: namely, a reduction to 4 subspecies (2 mainland and 2 Sundaic forms). KW - habitat generalist KW - hybrid capture KW - Leopard cat KW - mitogenome KW - mtDNA KW - Southeast Asia Y1 - 2017 U6 - https://doi.org/10.1093/jhered/esx017 SN - 0022-1503 SN - 1465-7333 VL - 108 IS - 4 SP - 349 EP - 360 PB - Oxford Univ. Press CY - Cary ER - TY - JOUR A1 - Patel, Riddhi P. A1 - Förster, Daniel W. A1 - Kitchener, Andrew C. A1 - Rayan, Mark D. A1 - Mohamed, Shariff W. A1 - Werner, Laura A1 - Lenz, Dorina A1 - Pfestorf, Hans A1 - Kramer-Schadt, Stephanie A1 - Radchuk, Viktoriia A1 - Fickel, Jörns A1 - Wilting, Andreas T1 - Two species of Southeast Asian cats in the genus Catopuma with diverging histories: an island endemic forest specialist and a widespread habitat generalist JF - Royal Society Open Science N2 - Background. The bay cat Catopuma badia is endemic to Borneo, whereas its sister species the Asian golden cat Catopuma temminckii is distributed from the Himalayas and southern China through Indochina, Peninsular Malaysia and Sumatra. Based onmorphological data, up to five subspecies of the Asian golden cat have been recognized, but a taxonomic assessment, including molecular data and morphological characters, is still lacking. Results. We combined molecular data (whole mitochondrial genomes), morphological data (pelage) and species distribution projections (up to the Late Pleistocene) to infer how environmental changes may have influenced the distribution of these sister species over the past 120 000 years. The molecular analysis was based on sequenced mitogenomes of 3 bay cats and 40 Asian golden cats derived mainly from archival samples. Our molecular data suggested a time of split between the two species approximately 3.16 Ma and revealed very low nucleotide diversity within the Asian golden cat population, which supports recent expansion of the population. Discussion. The low nucleotide diversity suggested a population bottleneck in the Asian golden cat, possibly caused by the eruption of the Toba volcano in Northern Sumatra (approx. 74 kya), followed by a continuous population expansion in the Late Pleistocene/Early Holocene. Species distribution projections, the reconstruction of the demographic history, a genetic isolation-by-distance pattern and a gradual variation of pelage pattern support the hypothesis of a post-Toba population expansion of the Asian golden cat from south China/Indochina to PeninsularMalaysia and Sumatra. Our findings reject the current classification of five subspecies for the Asian golden cat, but instead support either a monotypic species or one comprising two subspecies: (i) the Sunda golden cat, distributed south of the Isthmus of Kra: C. t. temminckii and (ii) Indochinese, Indian, Himalayan and Chinese golden cats, occurring north of the Isthmus: C. t. moormensis. KW - Felidae KW - Southeast Asia KW - last glacial maximum KW - Toba volcanic eruption KW - hybrid capture KW - next generation sequencing Y1 - 2016 U6 - https://doi.org/10.1098/rsos.160350 SN - 2054-5703 VL - 3 SP - 741 EP - 752 PB - Royal Society CY - London ER - TY - JOUR A1 - Tanski, George A1 - Bergstedt, Helena A1 - Bevington, Alexandre A1 - Bonnaventure, Philip A1 - Bouchard, Frederic A1 - Coch, Caroline A1 - Dumais, Simon A1 - Evgrafova, Alevtina A1 - Frauenfeld, Oliver W. A1 - Frederick, Jennifer A1 - Fritz, Michael A1 - Frolov, Denis A1 - Harder, Silvie A1 - Hartmeyer, Ingo A1 - Heslop, Joanne A1 - Hoegstroem, Elin A1 - Johansson, Margareta A1 - Kraev, Gleb A1 - Kuznetsova, Elena A1 - Lenz, Josefine A1 - Lupachev, Alexey A1 - Magnin, Florence A1 - Martens, Jannik A1 - Maslakov, Alexey A1 - Morgenstern, Anne A1 - Nieuwendam, Alexandre A1 - Oliva, Marc A1 - Radosavljevi, Boris A1 - Ramage, Justine Lucille A1 - Schneider, Andrea A1 - Stanilovskaya, Julia A1 - Strauss, Jens A1 - Trochim, Erin A1 - Vecellio, Daniel J. A1 - Weber, Samuel A1 - Lantuit, Hugues T1 - The Permafrost Young Researchers Network (PYRN) is getting older BT - The past, present, and future of our evolving community JF - Polar record N2 - A lasting legacy of the International Polar Year (IPY) 2007–2008 was the promotion of the Permafrost Young Researchers Network (PYRN), initially an IPY outreach and education activity by the International Permafrost Association (IPA). With the momentum of IPY, PYRN developed into a thriving network that still connects young permafrost scientists, engineers, and researchers from other disciplines. This research note summarises (1) PYRN’s development since 2005 and the IPY’s role, (2) the first 2015 PYRN census and survey results, and (3) PYRN’s future plans to improve international and interdisciplinary exchange between young researchers. The review concludes that PYRN is an established network within the polar research community that has continually developed since 2005. PYRN’s successful activities were largely fostered by IPY. With >200 of the 1200 registered members active and engaged, PYRN is capitalising on the availability of social media tools and rising to meet environmental challenges while maintaining its role as a successful network honouring the legacy of IPY. KW - Early-career scientists KW - Education KW - IPY KW - International Polar Year KW - Outreach KW - Permafrost Young Researchers Network KW - PYRN KW - Science communication Y1 - 2019 U6 - https://doi.org/10.1017/S0032247418000645 SN - 0032-2474 SN - 1475-3057 VL - 55 IS - 4 SP - 216 EP - 219 PB - Cambridge Univ. Press CY - New York ER - TY - JOUR A1 - Patel, Riddhi P. A1 - Lenz, Dorina A1 - Kitchener, Andrew C. A1 - Fickel, Jorns A1 - Foerster, Daniel W. A1 - Wilting, Andreas T1 - Threatened but understudied: supporting conservation by understanding the genetic structure of the flat-headed cat JF - Conservation genetics KW - Flat-headed cat KW - Habitat specialist KW - Hybrid capture KW - Mitogenome KW - MtDNA Y1 - 2017 U6 - https://doi.org/10.1007/s10592-017-0990-2 SN - 1566-0621 SN - 1572-9737 VL - 18 SP - 1423 EP - 1433 PB - Springer CY - Dordrecht ER - TY - RPRT A1 - Brodeur, Abel A1 - Mikola, Derek A1 - Cook, Nikolai A1 - Brailey, Thomas A1 - Briggs, Ryan A1 - Gendre, Alexandra de A1 - Dupraz, Yannick A1 - Fiala, Lenka A1 - Gabani, Jacopo A1 - Gauriot, Romain A1 - Haddad, Joanne A1 - Lima, Goncalo A1 - Ankel-Peters, Jörg A1 - Dreber, Anna A1 - Campbell, Douglas A1 - Kattan, Lamis A1 - Fages, Diego Marino A1 - Mierisch, Fabian A1 - Sun, Pu A1 - Wright, Taylor A1 - Connolly, Marie A1 - Hoces de la Guardia, Fernando A1 - Johannesson, Magnus A1 - Miguel, Edward A1 - Vilhuber, Lars A1 - Abarca, Alejandro A1 - Acharya, Mahesh A1 - Adjisse, Sossou Simplice A1 - Akhtar, Ahwaz A1 - Lizardi, Eduardo Alberto Ramirez A1 - Albrecht, Sabina A1 - Andersen, Synve Nygaard A1 - Andlib, Zubaria A1 - Arrora, Falak A1 - Ash, Thomas A1 - Bacher, Etienne A1 - Bachler, Sebastian A1 - Bacon, Félix A1 - Bagues, Manuel A1 - Balogh, Timea A1 - Batmanov, Alisher A1 - Barschkett, Mara A1 - Basdil, B. Kaan A1 - Dower, Jaromneda A1 - Castek, Ondrej A1 - Caviglia-Harris, Jill A1 - Strand, Gabriella Chauca A1 - Chen, Shi A1 - Chzhen, Asya A1 - Chung, Jong A1 - Collins, Jason A1 - Coppock, Alexander A1 - Cordeau, Hugo A1 - Couillard, Ben A1 - Crechet, Jonathan A1 - Crippa, Lorenzo A1 - Cui, Jeanne A1 - Czymara, Christian A1 - Daarstad, Haley A1 - Dao, Danh Chi A1 - Dao, Dong A1 - Schmandt, Marco David A1 - Linde, Astrid de A1 - Melo, Lucas De A1 - Deer, Lachlan A1 - Vera, Micole De A1 - Dimitrova, Velichka A1 - Dollbaum, Jan Fabian A1 - Dollbaum, Jan Matti A1 - Donnelly, Michael A1 - Huynh, Luu Duc Toan A1 - Dumbalska, Tsvetomira A1 - Duncan, Jamie A1 - Duong, Kiet Tuan A1 - Duprey, Thibaut A1 - Dworschak, Christoph A1 - Ellingsrud, Sigmund A1 - Elminejad, Ali A1 - Eissa, Yasmine A1 - Erhart, Andrea A1 - Etingin-Frati, Giulian A1 - Fatemi-Pour, Elaheh A1 - Federice, Alexa A1 - Feld, Jan A1 - Fenig, Guidon A1 - Firouzjaeiangalougah, Mojtaba A1 - Fleisje, Erlend A1 - Fortier-Chouinard, Alexandre A1 - Engel, Julia Francesca A1 - Fries, Tilman A1 - Fortier, Reid A1 - Fréchet, Nadjim A1 - Galipeau, Thomas A1 - Gallegos, Sebastián A1 - Gangji, Areez A1 - Gao, Xiaoying A1 - Garnache, Cloé A1 - Gáspár, Attila A1 - Gavrilova, Evelina A1 - Ghosh, Arijit A1 - Gibney, Garreth A1 - Gibson, Grant A1 - Godager, Geir A1 - Goff, Leonard A1 - Gong, Da A1 - González, Javier A1 - Gretton, Jeremy A1 - Griffa, Cristina A1 - Grigoryeva, Idaliya A1 - Grtting, Maja A1 - Guntermann, Eric A1 - Guo, Jiaqi A1 - Gugushvili, Alexi A1 - Habibnia, Hooman A1 - Häffner, Sonja A1 - Hall, Jonathan D. A1 - Hammar, Olle A1 - Kordt, Amund Hanson A1 - Hashimoto, Barry A1 - Hartley, Jonathan S. A1 - Hausladen, Carina I. A1 - Havránek, Tomáš A1 - Hazen, Jacob A1 - He, Harry A1 - Hepplewhite, Matthew A1 - Herrera-Rodriguez, Mario A1 - Heuer, Felix A1 - Heyes, Anthony A1 - Ho, Anson T. Y. A1 - Holmes, Jonathan A1 - Holzknecht, Armando A1 - Hsu, Yu-Hsiang Dexter A1 - Hu, Shiang-Hung A1 - Huang, Yu-Shiuan A1 - Huebener, Mathias A1 - Huber, Christoph A1 - Huynh, Kim P. A1 - Irsova, Zuzana A1 - Isler, Ozan A1 - Jakobsson, Niklas A1 - Frith, Michael James A1 - Jananji, Raphaël A1 - Jayalath, Tharaka A. A1 - Jetter, Michael A1 - John, Jenny A1 - Forshaw, Rachel Joy A1 - Juan, Felipe A1 - Kadriu, Valon A1 - Karim, Sunny A1 - Kelly, Edmund A1 - Dang, Duy Khanh Hoang A1 - Khushboo, Tazia A1 - Kim, Jin A1 - Kjellsson, Gustav A1 - Kjelsrud, Anders A1 - Kotsadam, Andreas A1 - Korpershoek, Jori A1 - Krashinsky, Lewis A1 - Kundu, Suranjana A1 - Kustov, Alexander A1 - Lalayev, Nurlan A1 - Langlois, Audrée A1 - Laufer, Jill A1 - Lee-Whiting, Blake A1 - Leibing, Andreas A1 - Lenz, Gabriel A1 - Levin, Joel A1 - Li, Peng A1 - Li, Tongzhe A1 - Lin, Yuchen A1 - Listo, Ariel A1 - Liu, Dan A1 - Lu, Xuewen A1 - Lukmanova, Elvina A1 - Luscombe, Alex A1 - Lusher, Lester R. A1 - Lyu, Ke A1 - Ma, Hai A1 - Mäder, Nicolas A1 - Makate, Clifton A1 - Malmberg, Alice A1 - Maitra, Adit A1 - Mandas, Marco A1 - Marcus, Jan A1 - Margaryan, Shushanik A1 - Márk, Lili A1 - Martignano, Andres A1 - Marsh, Abigail A1 - Masetto, Isabella A1 - McCanny, Anthony A1 - McManus, Emma A1 - McWay, Ryan A1 - Metson, Lennard A1 - Kinge, Jonas Minet A1 - Mishra, Sumit A1 - Mohnen, Myra A1 - Möller, Jakob A1 - Montambeault, Rosalie A1 - Montpetit, Sébastien A1 - Morin, Louis-Philippe A1 - Morris, Todd A1 - Moser, Scott A1 - Motoki, Fabio A1 - Muehlenbachs, Lucija A1 - Musulan, Andreea A1 - Musumeci, Marco A1 - Nabin, Munirul A1 - Nchare, Karim A1 - Neubauer, Florian A1 - Nguyen, Quan M. P. A1 - Nguyen, Tuan A1 - Nguyen-Tien, Viet A1 - Niazi, Ali A1 - Nikolaishvili, Giorgi A1 - Nordstrom, Ardyn A1 - Nü, Patrick A1 - Odermatt, Angela A1 - Olson, Matt A1 - ien, Henning A1 - Ölkers, Tim A1 - Vert, Miquel Oliver i. A1 - Oral, Emre A1 - Oswald, Christian A1 - Ousman, Ali A1 - Özak, Ömer A1 - Pandey, Shubham A1 - Pavlov, Alexandre A1 - Pelli, Martino A1 - Penheiro, Romeo A1 - Park, RyuGyung A1 - Martel, Eva Pérez A1 - Petrovičová, Tereza A1 - Phan, Linh A1 - Prettyman, Alexa A1 - Procházka, Jakub A1 - Putri, Aqila A1 - Quandt, Julian A1 - Qiu, Kangyu A1 - Nguyen, Loan Quynh Thi A1 - Rahman, Andaleeb A1 - Rea, Carson H. A1 - Reiremo, Adam A1 - Renée, Laëtitia A1 - Richardson, Joseph A1 - Rivers, Nicholas A1 - Rodrigues, Bruno A1 - Roelofs, William A1 - Roemer, Tobias A1 - Rogeberg, Ole A1 - Rose, Julian A1 - Roskos-Ewoldsen, Andrew A1 - Rosmer, Paul A1 - Sabada, Barbara A1 - Saberian, Soodeh A1 - Salamanca, Nicolas A1 - Sator, Georg A1 - Sawyer, Antoine A1 - Scates, Daniel A1 - Schlüter, Elmar A1 - Sells, Cameron A1 - Sen, Sharmi A1 - Sethi, Ritika A1 - Shcherbiak, Anna A1 - Sogaolu, Moyosore A1 - Soosalu, Matt A1 - Srensen, Erik A1 - Sovani, Manali A1 - Spencer, Noah A1 - Staubli, Stefan A1 - Stans, Renske A1 - Stewart, Anya A1 - Stips, Felix A1 - Stockley, Kieran A1 - Strobel, Stephenson A1 - Struby, Ethan A1 - Tang, John A1 - Tanrisever, Idil A1 - Yang, Thomas Tao A1 - Tastan, Ipek A1 - Tatić, Dejan A1 - Tatlow, Benjamin A1 - Seuyong, Féraud Tchuisseu A1 - Thériault, Rémi A1 - Thivierge, Vincent A1 - Tian, Wenjie A1 - Toma, Filip-Mihai A1 - Totarelli, Maddalena A1 - Tran, Van-Anh A1 - Truong, Hung A1 - Tsoy, Nikita A1 - Tuzcuoglu, Kerem A1 - Ubfal, Diego A1 - Villalobos, Laura A1 - Walterskirchen, Julian A1 - Wang, Joseph Taoyi A1 - Wattal, Vasudha A1 - Webb, Matthew D. A1 - Weber, Bryan A1 - Weisser, Reinhard A1 - Weng, Wei-Chien A1 - Westheide, Christian A1 - White, Kimberly A1 - Winter, Jacob A1 - Wochner, Timo A1 - Woerman, Matt A1 - Wong, Jared A1 - Woodard, Ritchie A1 - Wroński, Marcin A1 - Yazbeck, Myra A1 - Yang, Gustav Chung A1 - Yap, Luther A1 - Yassin, Kareman A1 - Ye, Hao A1 - Yoon, Jin Young A1 - Yurris, Chris A1 - Zahra, Tahreen A1 - Zaneva, Mirela A1 - Zayat, Aline A1 - Zhang, Jonathan A1 - Zhao, Ziwei A1 - Yaolang, Zhong T1 - Mass reproducibility and replicability BT - a new hope T2 - I4R discussion paper series N2 - This study pushes our understanding of research reliability by reproducing and replicating claims from 110 papers in leading economic and political science journals. The analysis involves computational reproducibility checks and robustness assessments. It reveals several patterns. First, we uncover a high rate of fully computationally reproducible results (over 85%). Second, excluding minor issues like missing packages or broken pathways, we uncover coding errors for about 25% of studies, with some studies containing multiple errors. Third, we test the robustness of the results to 5,511 re-analyses. We find a robustness reproducibility of about 70%. Robustness reproducibility rates are relatively higher for re-analyses that introduce new data and lower for re-analyses that change the sample or the definition of the dependent variable. Fourth, 52% of re-analysis effect size estimates are smaller than the original published estimates and the average statistical significance of a re-analysis is 77% of the original. Lastly, we rely on six teams of researchers working independently to answer eight additional research questions on the determinants of robustness reproducibility. Most teams find a negative relationship between replicators' experience and reproducibility, while finding no relationship between reproducibility and the provision of intermediate or even raw data combined with the necessary cleaning codes. KW - conomics KW - open science KW - political science KW - replication KW - reproduction KW - research transparency Y1 - 2024 SN - 2752-1931 IS - 107 PB - Institute for Replication CY - Essen ER -