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  - 
TY  - JOUR
A1  - Warrington, Nicole
A1  - Beaumont, Robin
A1  - Horikoshi, Momoko
A1  - Day, Felix R.
A1  - Helgeland, Øyvind
A1  - Laurin, Charles
A1  - Bacelis, Jonas
A1  - Peng, Shouneng
A1  - Hao, Ke
A1  - Feenstra, Bjarke
A1  - Wood, Andrew R.
A1  - Mahajan, Anubha
A1  - Tyrrell, Jessica
A1  - Robertson, Neil R.
A1  - Rayner, N. William
A1  - Qiao, Zhen
A1  - Moen, Gunn-Helen
A1  - Vaudel, Marc
A1  - Marsit, Carmen
A1  - Chen, Jia
A1  - Nodzenski, Michael
A1  - Schnurr, Theresia M.
A1  - Zafarmand, Mohammad Hadi
A1  - Bradfield, Jonathan P.
A1  - Grarup, Niels
A1  - Kooijman, Marjolein N.
A1  - Li-Gao, Ruifang
A1  - Geller, Frank
A1  - Ahluwalia, Tarunveer Singh
A1  - Paternoster, Lavinia
A1  - Rueedi, Rico
A1  - Huikari, Ville
A1  - Hottenga, Jouke-Jan
A1  - Lyytikäinen, Leo-Pekka
A1  - Cavadino, Alana
A1  - Metrustry, Sarah
A1  - Cousminer, Diana L.
A1  - Wu, Ying
A1  - Thiering, Elisabeth Paula
A1  - Wang, Carol A.
A1  - Have, Christian Theil
A1  - Vilor-Tejedor, Natalia
A1  - Joshi, Peter K.
A1  - Painter, Jodie N.
A1  - Ntalla, Ioanna
A1  - Myhre, Ronny
A1  - Pitkänen, Niina
A1  - van Leeuwen, Elisabeth M.
A1  - Joro, Raimo
A1  - Lagou, Vasiliki
A1  - Richmond, Rebecca C.
A1  - Espinosa, Ana
A1  - Barton, Sheila J.
A1  - Inskip, Hazel M.
A1  - Holloway, John W.
A1  - Santa-Marina, Loreto
A1  - Estivill, Xavier
A1  - Ang, Wei
A1  - Marsh, Julie A.
A1  - Reichetzeder, Christoph
A1  - Marullo, Letizia
A1  - Hocher, Berthold
A1  - Lunetta, Kathryn L.
A1  - Murabito, Joanne M.
A1  - Relton, Caroline L.
A1  - Kogevinas, Manolis
A1  - Chatzi, Leda
A1  - Allard, Catherine
A1  - Bouchard, Luigi
A1  - Hivert, Marie-France
A1  - Zhang, Ge
A1  - Muglia, Louis J.
A1  - Heikkinen, Jani
A1  - Morgen, Camilla S.
A1  - van Kampen, Antoine H. C.
A1  - van Schaik, Barbera D. C.
A1  - Mentch, Frank D.
A1  - Langenberg, Claudia
A1  - Scott, Robert A.
A1  - Zhao, Jing Hua
A1  - Hemani, Gibran
A1  - Ring, Susan M.
A1  - Bennett, Amanda J.
A1  - Gaulton, Kyle J.
A1  - Fernandez-Tajes, Juan
A1  - van Zuydam, Natalie R.
A1  - Medina-Gomez, Carolina
A1  - de Haan, Hugoline G.
A1  - Rosendaal, Frits R.
A1  - Kutalik, Zoltán
A1  - Marques-Vidal, Pedro
A1  - Das, Shikta
A1  - Willemsen, Gonneke
A1  - Mbarek, Hamdi
A1  - Müller-Nurasyid, Martina
A1  - Standl, Marie
A1  - Appel, Emil V. R.
A1  - Fonvig, Cilius Esmann
A1  - Trier, Caecilie
A1  - van Beijsterveldt, Catharina E. M.
A1  - Murcia, Mario
A1  - Bustamante, Mariona
A1  - Bonàs-Guarch, Sílvia
A1  - Hougaard, David M.
A1  - Mercader, Josep M.
A1  - Linneberg, Allan
A1  - Schraut, Katharina E.
A1  - Lind, Penelope A.
A1  - Medland, Sarah Elizabeth
A1  - Shields, Beverley M.
A1  - Knight, Bridget A.
A1  - Chai, Jin-Fang
A1  - Panoutsopoulou, Kalliope
A1  - Bartels, Meike
A1  - Sánchez, Friman
A1  - Stokholm, Jakob
A1  - Torrents, David
A1  - Vinding, Rebecca K.
A1  - Willems, Sara M.
A1  - Atalay, Mustafa
A1  - Chawes, Bo L.
A1  - Kovacs, Peter
A1  - Prokopenko, Inga
A1  - Tuke, Marcus A.
A1  - Yaghootkar, Hanieh
A1  - Ruth, Katherine S.
A1  - Jones, Samuel E.
A1  - Loh, Po-Ru
A1  - Murray, Anna
A1  - Weedon, Michael N.
A1  - Tönjes, Anke
A1  - Stumvoll, Michael
A1  - Michaelsen, Kim Fleischer
A1  - Eloranta, Aino-Maija
A1  - Lakka, Timo A.
A1  - van Duijn, Cornelia M.
A1  - Kiess, Wieland
A1  - Koerner, Antje
A1  - Niinikoski, Harri
A1  - Pahkala, Katja
A1  - Raitakari, Olli T.
A1  - Jacobsson, Bo
A1  - Zeggini, Eleftheria
A1  - Dedoussis, George V.
A1  - Teo, Yik-Ying
A1  - Saw, Seang-Mei
A1  - Montgomery, Grant W.
A1  - Campbell, Harry
A1  - Wilson, James F.
A1  - Vrijkotte, Tanja G. M.
A1  - Vrijheid, Martine
A1  - de Geus, Eco J. C. N.
A1  - Hayes, M. Geoffrey
A1  - Kadarmideen, Haja N.
A1  - Holm, Jens-Christian
A1  - Beilin, Lawrence J.
A1  - Pennell, Craig E.
A1  - Heinrich, Joachim
A1  - Adair, Linda S.
A1  - Borja, Judith B.
A1  - Mohlke, Karen L.
A1  - Eriksson, Johan G.
A1  - Widen, Elisabeth E.
A1  - Hattersley, Andrew T.
A1  - Spector, Tim D.
A1  - Kaehoenen, Mika
A1  - Viikari, Jorma S.
A1  - Lehtimaeki, Terho
A1  - Boomsma, Dorret I.
A1  - Sebert, Sylvain
A1  - Vollenweider, Peter
A1  - Sorensen, Thorkild I. A.
A1  - Bisgaard, Hans
A1  - Bonnelykke, Klaus
A1  - Murray, Jeffrey C.
A1  - Melbye, Mads
A1  - Nohr, Ellen A.
A1  - Mook-Kanamori, Dennis O.
A1  - Rivadeneira, Fernando
A1  - Hofman, Albert
A1  - Felix, Janine F.
A1  - Jaddoe, Vincent W. V.
A1  - Hansen, Torben
A1  - Pisinger, Charlotta
A1  - Vaag, Allan A.
A1  - Pedersen, Oluf
A1  - Uitterlinden, Andre G.
A1  - Jarvelin, Marjo-Riitta
A1  - Power, Christine
A1  - Hypponen, Elina
A1  - Scholtens, Denise M.
A1  - Lowe, William L.
A1  - Smith, George Davey
A1  - Timpson, Nicholas J.
A1  - Morris, Andrew P.
A1  - Wareham, Nicholas J.
A1  - Hakonarson, Hakon
A1  - Grant, Struan F. A.
A1  - Frayling, Timothy M.
A1  - Lawlor, Debbie A.
A1  - Njolstad, Pal R.
A1  - Johansson, Stefan
A1  - Ong, Ken K.
A1  - McCarthy, Mark I.
A1  - Perry, John R. B.
A1  - Evans, David M.
A1  - Freathy, Rachel M.
T1  - Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors
JF  - Nature genetics
N2  - Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.
Y1  - 2019
SN  - 1061-4036
SN  - 1546-1718
VL  - 51
IS  - 5
SP  - 804
EP  - +
PB  - Nature Publ. Group
CY  - New York
ER  - 
TY  - BOOK
A1  - Rana, Kaushik
A1  - Mohapatra, Durga Prasad
A1  - Sidorova, Julia
A1  - Lundberg, Lars
A1  - Sköld, Lars
A1  - Lopes Grim, Luís Fernando
A1  - Sampaio Gradvohl, André Leon
A1  - Cremerius, Jonas
A1  - Siegert, Simon
A1  - Weltzien, Anton von
A1  - Baldi, Annika
A1  - Klessascheck, Finn
A1  - Kalancha, Svitlana
A1  - Lichtenstein, Tom
A1  - Shaabani, Nuhad
A1  - Meinel, Christoph
A1  - Friedrich, Tobias
A1  - Lenzner, Pascal
A1  - Schumann, David
A1  - Wiese, Ingmar
A1  - Sarna, Nicole
A1  - Wiese, Lena
A1  - Tashkandi, Araek Sami
A1  - van der Walt, Estée
A1  - Eloff, Jan H. P.
A1  - Schmidt, Christopher
A1  - Hügle, Johannes
A1  - Horschig, Siegfried
A1  - Uflacker, Matthias
A1  - Najafi, Pejman
A1  - Sapegin, Andrey
A1  - Cheng, Feng
A1  - Stojanovic, Dragan
A1  - Stojnev Ilić, Aleksandra
A1  - Djordjevic, Igor
A1  - Stojanovic, Natalija
A1  - Predic, Bratislav
A1  - González-Jiménez, Mario
A1  - de Lara, Juan
A1  - Mischkewitz, Sven
A1  - Kainz, Bernhard
A1  - van Hoorn, André
A1  - Ferme, Vincenzo
A1  - Schulz, Henning
A1  - Knigge, Marlene
A1  - Hecht, Sonja
A1  - Prifti, Loina
A1  - Krcmar, Helmut
A1  - Fabian, Benjamin
A1  - Ermakova, Tatiana
A1  - Kelkel, Stefan
A1  - Baumann, Annika
A1  - Morgenstern, Laura
A1  - Plauth, Max
A1  - Eberhard, Felix
A1  - Wolff, Felix
A1  - Polze, Andreas
A1  - Cech, Tim
A1  - Danz, Noel
A1  - Noack, Nele Sina
A1  - Pirl, Lukas
A1  - Beilharz, Jossekin Jakob
A1  - De Oliveira, Roberto C. L.
A1  - Soares, Fábio Mendes
A1  - Juiz, Carlos
A1  - Bermejo, Belen
A1  - Mühle, Alexander
A1  - Grüner, Andreas
A1  - Saxena, Vageesh
A1  - Gayvoronskaya, Tatiana
A1  - Weyand, Christopher
A1  - Krause, Mirko
A1  - Frank, Markus
A1  - Bischoff, Sebastian
A1  - Behrens, Freya
A1  - Rückin, Julius
A1  - Ziegler, Adrian
A1  - Vogel, Thomas
A1  - Tran, Chinh
A1  - Moser, Irene
A1  - Grunske, Lars
A1  - Szárnyas, Gábor
A1  - Marton, József
A1  - Maginecz, János
A1  - Varró, Dániel
A1  - Antal, János Benjamin
ED  - Meinel, Christoph
ED  - Polze, Andreas
ED  - Beins, Karsten
ED  - Strotmann, Rolf
ED  - Seibold, Ulrich
ED  - Rödszus, Kurt
ED  - Müller, Jürgen
T1  - HPI Future SOC Lab – Proceedings 2018
N2  - The “HPI Future SOC Lab” is a cooperation of the Hasso Plattner Institute (HPI) and industry partners. Its mission is to enable and promote exchange and interaction between the research community and the industry partners.
  The HPI Future SOC Lab provides researchers with free of charge access to a complete infrastructure of state of the art hard and software. This infrastructure includes components, which might be too expensive for an ordinary research environment, such as servers with up to 64 cores and 2 TB main memory. The offerings address researchers particularly from but not limited to the areas of computer science and business information systems. Main areas of research include cloud computing, parallelization, and In-Memory technologies.
  This technical report presents results of research projects executed in 2018. Selected projects have presented their results on April 17th and November 14th 2017 at the Future SOC Lab Day events.
N2  - Das Future SOC Lab am HPI ist eine Kooperation des Hasso-Plattner-Instituts mit verschiedenen Industriepartnern. Seine Aufgabe ist die Ermöglichung und Förderung des Austausches zwischen Forschungsgemeinschaft und Industrie.
  Am Lab wird interessierten Wissenschaftler:innen eine Infrastruktur von neuester Hard- und Software kostenfrei für Forschungszwecke zur Verfügung gestellt. Dazu zählen Systeme, die im normalen Hochschulbereich in der Regel nicht zu finanzieren wären, bspw. Server mit bis zu 64 Cores und 2 TB Hauptspeicher. Diese Angebote richten sich insbesondere an Wissenschaftler:innen in den Gebieten Informatik und Wirtschaftsinformatik. Einige der Schwerpunkte sind Cloud Computing, Parallelisierung und In-Memory Technologien. 
  In diesem Technischen Bericht werden die Ergebnisse der Forschungsprojekte des Jahres 2018 vorgestellt.  Ausgewählte Projekte stellten ihre Ergebnisse am 17. April und 14. November 2018 im Rahmen des Future SOC Lab Tags vor.
T3  - Technische Berichte des Hasso-Plattner-Instituts für Digital Engineering an der Universität Potsdam - 151 
KW  - Future SOC Lab
KW  - research projects
KW  - multicore architectures
KW  - in-memory technology
KW  - cloud computing
KW  - machine learning
KW  - artifical intelligence
KW  - Future SOC Lab
KW  - Forschungsprojekte
KW  - Multicore Architekturen
KW  - In-Memory Technologie
KW  - Cloud Computing
KW  - maschinelles Lernen
KW  - künstliche Intelligenz
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-563712
SN  - 978-3-86956-547-7
SN  - 1613-5652
SN  - 2191-1665
IS  - 151
PB  - Universitätsverlag Potsdam
CY  - Potsdam
ER  - 
TY  - JOUR
A1  - Kalkuhl, Matthias
A1  - Fernandez Milan, Blanca
A1  - Schwerhoff, Gregor
A1  - Jakob, Michael
A1  - Hahnen, Maren
A1  - Creutzig, Felix
T1  - Can land taxes foster sustainable development?
BT  - An assessment of fiscal, distributional and implementation issues
JF  - Land use policy : the international journal covering all aspects of land use
N2  - Economists argue that land rent taxation is an ideal form of taxation as it causes no deadweight losses. Nevertheless, pure land rent taxation is rarely applied. This paper revisits the case of land taxation for developing countries. We first provide an up-to-date review on land taxation in development countries, including feasibility and implementation challenges. We then simulate land tax reforms for Rwanda, Peru, Nicaragua and Indonesia, based on household surveys. We find that (i) land taxes provide a substantial untapped potential for tax revenues at minimal deadweight losses; that (ii) linear land value taxes tend to put a high relative burden on poor households as land ownership is pervasive; (iii) non-linear tax schemes could avoid adverse effects on the poor; and that (iv) with technological advances, administrative costs of land taxes have reduced substantially and are outweighed by tax revenues and co-benefits of formalized land tenure. Enforcement and compliance remain, however, a key challenge.
KW  - Fiscal policy
KW  - Public economics
KW  - Optimal taxes
KW  - Tax incidence
KW  - Land use
Y1  - 2018
U6  - https://doi.org/10.1016/j.landusepol.2018.07.008
SN  - 0264-8377
SN  - 1873-5754
VL  - 78
SP  - 338
EP  - 352
PB  - Elsevier Science Publishers Ltd.
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Beckmann, Jürgen
A1  - Ehrlenspiel, Felix
A1  - Schönfelder, Martin
A1  - Strahler, Katharina
A1  - Weil, Jakob
T1  - Neuroendokrine Facetten der Wettkampfangst : Identifikation objektiver Kriterien erfolgreicher sportpsychologischer Interventionen
Y1  - 2009
UR  - http://www.bisp.de/nn_113306/DE/Produkte/Publikationen/BISp-Jahrbuch.html
ER  - 
TY  - JOUR
A1  - Schütt, Heiko Herbert
A1  - Harmeling, Stefan
A1  - Macke, Jakob H.
A1  - Wichmann, Felix A.
T1  - Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data
JF  - Vision research : an international journal for functional aspects of vision.
N2  - The psychometric function describes how an experimental variable, such as stimulus strength, influences the behaviour of an observer. Estimation of psychometric functions from experimental data plays a central role in fields such as psychophysics, experimental psychology and in the behavioural neurosciences. Experimental data may exhibit substantial overdispersion, which may result from non-stationarity in the behaviour of observers. Here we extend the standard binomial model which is typically used for psychometric function estimation to a beta-binomial model. We show that the use of the beta-binomial model makes it possible to determine accurate credible intervals even in data which exhibit substantial overdispersion. This goes beyond classical measures for overdispersion goodness-of-fit which can detect overdispersion but provide no method to do correct inference for overdispersed data. We use Bayesian inference methods for estimating the posterior distribution of the parameters of the psychometric function. Unlike previous Bayesian psychometric inference methods our software implementation-psignifit 4 performs numerical integration of the posterior within automatically determined bounds. This avoids the use of Markov chain Monte Carlo (MCMC) methods typically requiring expert knowledge. Extensive numerical tests show the validity of the approach and we discuss implications of overdispersion for experimental design. A comprehensive MATLAB toolbox implementing the method is freely available; a python implementation providing the basic capabilities is also available. (C) 2016 The Authors. Published by Elsevier Ltd.
KW  - Psychometric function
KW  - Bayesian inference
KW  - Beta-binomial model
KW  - Overdispersion
KW  - Non-stationarity
KW  - Confidence intervals
KW  - Credible intervals
KW  - Psychophysical methods
Y1  - 2016
U6  - https://doi.org/10.1016/j.visres.2016.02.002
SN  - 0042-6989
SN  - 1878-5646
VL  - 122
SP  - 105
EP  - 123
PB  - Elsevier
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Rübsam, Kristin
A1  - Stomps, Benjamin René Harald
A1  - Böker, Alexander
A1  - Jakob, Felix
A1  - Schwaneberg, Ulrich
T1  - Anchor peptides: A green and versatile method for polypropylene functionalization
JF  - Polymer : the international journal for the science and technology of polymers
KW  - Material binding peptides
KW  - Anchor peptides
KW  - Surface modification
KW  - Immobilization
Y1  - 2017
U6  - https://doi.org/10.1016/j.polymer.2017.03.070
SN  - 0032-3861
SN  - 1873-2291
VL  - 116
SP  - 124
EP  - 132
PB  - Elsevier
CY  - Oxford
ER  -