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5 results on '"Kestemont, Bruno"'

1. AI and Citizen Science for Serendipity

Author

Ponti, Marisa, Skarpeti, Anastasia, and Kestemont, Bruno

Subjects
FOS: Computer and information sciences, Computer Science - Human-Computer Interaction, Human-Computer Interaction (cs.HC)
Abstract

It has been argued that introducing AI to creative practices destroys spontaneity, intuition and serendipity. However, the design of systems that leverage complex interactions between citizen scientists (members of the public engaged in research tasks) and computational AI methods have the potential to facilitate creative exploration and chance encounters. Drawing from theories and literature about serendipity and computation, this article points to three interrelated aspects that support the emergence of serendipity in hybrid citizen science systems: the task environment; the characteristics of citizen scientists; and anomalies and errors.

Published
2022

3. Determining crystal structures through crowdsourcing and coursework

Author

Horowitz, Scott, Koepnick, Brian, Jain, Neha, Pikkanen, Petri, Shehzad, Raafay, Viosca, Randy, James Fraser, Robert, Leduc, Robert, Madala, Roman, Shnider, Scott, de Boisblanc, Sharon, Butkovich, Slava, Bliven, Spencer, Koldewey, Philipp, Hettler, Stephen, Telehany, Stephen, Schwegmann, Steven A., Parkes, Steven, Kleinfelter, Susan C., Michael Holst, Sven, van der Laan, T. J. A., Bausewein, Thomas, Simon, Vera, Pulley, Warwick, Ahlstrom, Logan S., Hull, William, Kim, Annes Yukyung, Lawton, Alexis, Ruesch, Amanda, Sundar, Anjali, Lawrence, Anna-Lisa, Afrin, Antara, Maheshwer, Bhargavi, Turfe, Bilal, Huebner, Christian, Chapman, Matthew R., Killeen, Courtney Elizabeth, Antebi-Lerrman, Dalia, Luan, Danny, Wolfe, Derek, Pham, Duc, Michewicz, Elaina, Hull, Elizabeth, Pardington, Emily, Galal, Galal Osama, Sun, Grace, Sikkema, Andrew P., Chen, Grace, Anderson, Halie E., Chang, Jane, Hewlett, Jeffrey Thomas, Sterbenz, Jennifer, Lim, Jiho, Morof, Joshua, Lee, Junho, Inn, Juyoung Samuel, Hahm, Kaitlin, Skiba, Meredith A., Roth, Kaitlin, Nair, Karun, Markin, Katherine, Schramm, Katie, Toni Eid, Kevin, Gam, Kristina, Murphy, Lisha, Yuan, Lucy, Kana, Lulia, Daboul, Lynn, Maloney, Finn P., Shammas, Mario Karam, Chason, Max, Sinan, Moaz, Andrew Tooley, Nicholas, Korakavi, Nisha, Comer, Patrick, Magur, Pragya, Savliwala, Quresh, Davison, Reid Michael, Sankaran, Roshun Rajiv, Beinlich, Felix, Lewe, Sam, Tamkus, Saule, Chen, Shirley, Harvey, Sho, Hwang, Sin Ye, Vatsia, Sohrab, Withrow, Stefan, Luther, Tahra K, Manett, Taylor, Johnson, Thomas James, Caglar, Ahmet, Ryan Brash, Timothy, Kuhlman, Wyatt, Park, Yeonjung, Popović, Zoran, Baker, David, Khatib, Firas, Bardwell, James C. A., Coral, Alan, Martin, Raoul, Jensen, Alice Elizabeth, Lubow, Allen, Boitano, Amanda, Lisle, Amy Elizabeth, Maxwell, Andrew T., Failer, Barb, Kaszubowski, Bartosz, Hrytsiv, Bohdan, Vincenzo, Brancaccio, de Melo Cruz, Breno Renan, Tymieniecki, Agnes, McManus, Brian Joseph, Kestemont, Bruno, Vardeman, Carl, Comisky, Casey, Neilson, Catherine, Landers, Catherine R., Ince, Christopher, Buske, Daniel Jon, Totonjian, Daniel, Copeland, David Marshall, Winburn, Amanda A., Murray, David, Jagieła, Dawid, Janz, Dietmar, Wheeler, Douglas C., Cali, Elie, Croze, Emmanuel, Rezae, Farah, Martin, Floyd Orville, Beecher, Gil, de Jong, Guido Alexander, Cooper, Seth, Ykman, Guy, Feldmann, Harald, Chan, Hugo Paul Perez, Kovanecz, Istvan, Vasilchenko, Ivan, Connellan, James C., Borman, Jami Lynne, Norrgard, Jane, Kanfer, Jebbie, Canfield, Jeffrey M., Flatten, Jeff, Slone, Jesse David, Oh, Jimmy, Mitchell, Joanne, Bishop, John, Kroeger, John Douglas, Schinkler, Jonas, McLaughlin, Joseph, Brownlee, June M., Bell, Justin, Fellbaum, Karl Willem, Rogawski, David S., Harper, Kathleen, Abbey, Kirk J., Isaksson, Lennart E., Wei, Linda, Cummins, Lisa N., Miller, Lori Anne, Bain, Lyn, Carpenter, Lynn, Desnouck, Maarten, Sharma, Manasa G., Koropatkin, Nicole M., Belcastro, Marcus, Szew, Martin, Britton, Matthew, Gaebel, Matthias, Power, Max, Cassidy, Michael, Pfützenreuter, Michael, Minett, Michele, Wesselingh, Michiel, Hailu, Tsinatkeab T., Yi, Minjune, Cameron, Neil Haydn Tormey, Bolibruch, Nicholas I., Benevides, Noah, Kathleen Kerr, Norah, Barlow, Nova, Crevits, Nykole Krystyne, Dunn, Paul, Silveira Belo Nascimento Roque, Paulo Sergio, and Riber, Peter

Subjects
0301 basic medicine, Structure (mathematical logic), Multidisciplinary, Computer science, business.industry, Science, General Physics and Astronomy, General Chemistry, Crowdsourcing, Article, General Biochemistry, Genetics and Molecular Biology, Computer game, Competition (economics), 03 medical and health sciences, 030104 developmental biology, Human–computer interaction, Coursework, Feature (machine learning), ddc:500, business
Abstract

We show here that computer game players can build high-quality crystal structures. Introduction of a new feature into the computer game Foldit allows players to build and real-space refine structures into electron density maps. To assess the usefulness of this feature, we held a crystallographic model-building competition between trained crystallographers, undergraduate students, Foldit players and automatic model-building algorithms. After removal of disordered residues, a team of Foldit players achieved the most accurate structure. Analysing the target protein of the competition, YPL067C, uncovered a new family of histidine triad proteins apparently involved in the prevention of amyloid toxicity. From this study, we conclude that crystallographers can utilize crowdsourcing to interpret electron density information and to produce structure solutions of the highest quality., Building crystal structures into the electron density is an important step in protein structure solution. Here, the authors recruit online game players, students, and experienced crystallographers to compete in a competition to solve a new structure, and find that crowdsourcing model-building works.

Published
2016
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4. Road Transport, Economic Growth and Carbon Dioxide Emissions in the BRIICS: Conditions For a Low Carbon Economic Development

Author

Atte-Oudeyi, Barakatou, Kestemont, Bruno, and De Meulemeester, Jean Luc

Subjects
Environment and Development, Environment and Trade, Sustainability, Environmental Accounting, Environmental Equity, Population Growth, Fixed- Effects and Random-Effects Regression Models, Q53, R42, Road Transport, Q56, Panel Data, Q58, Pooled OLS Regression Model, Government Policy [Environmental Economics], BRIICS, Economic Growth, Environmental Kuznets Curve, Economie, Air Pollution, Water Pollution, Noise, Hazardous Waste, Solid Waste, Recycling, Government and Private Investment Analysis [Transportation Systems], CO2 Emissions
Abstract

In this article, we investigate the relationship between economic growth and CO2 emissions per capita due to road transport in order to test the validity of the Environmental Kuznets Curve (EKC) hypothesis. We test an EKC model on a sample of six emerging countries (Brazil, Russia, India, Indonesia, China and South Africa so-called BRIICS) using yearly data from 2000 to 2010. Empirical results reveal an inverted U-shaped EKC curve relating CO2 emissions per capita due to road transport to the level of economic development (level of GDP percapita). In all models tested, the turning point exceeds the current GDP per capita of the richest country of the group, which means that it would happen virtually in a far future or after a strong growth episode. Results show that the turning point of this EKC for road transport depends on population density and the integration of government effectiveness into the BRIICS’s economic development policy. However, when Russia is omitted from the group, the EKC hypothesis does not hold anymore and CO2 emissions per capita are uniformly increasing with per capita GDP. The main policy implication from our results is that policy makers should not base their policy on the EKC hypothesis: increasing the per capita GDP level alone cannot reduce CO2 emissions per capita from road transport and without a significant change in policy, economic growth will exacerbate CO2 emissions., info:eu-repo/semantics/published

Published
2016

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