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2. A synthesis of evidence for policy from behavioural science during COVID-19.

Author

Ruggeri, Kai, Stock, Friederike, Haslam, S, Capraro, Valerio, Boggio, Paulo, Ellemers, Naomi, Cichocka, Aleksandra, Douglas, Karen, Rand, David, van der Linden, Sander, Cikara, Mina, Finkel, Eli, Druckman, James, Wohl, Michael, Petty, Richard, Tucker, Joshua, Shariff, Azim, Gelfand, Michele, Packer, Dominic, Jetten, Jolanda, Van Lange, Paul, Pennycook, Gordon, Peters, Ellen, Baicker, Katherine, Crum, Alia, Weeden, Kim, Napper, Lucy, Tabri, Nassim, Zaki, Jamil, Skitka, Linda, Kitayama, Shinobu, Mobbs, Dean, Sunstein, Cass, Ashcroft-Jones, Sarah, Todsen, Anna, Hajian, Ali, Verra, Sanne, Buehler, Vanessa, Friedemann, Maja, Hecht, Marlene, Mobarak, Rayyan, Karakasheva, Ralitsa, Tünte, Markus, Yeung, Siu, Rosenbaum, R, Lep, Žan, Yamada, Yuki, Hudson, Sa-Kiera, Macchia, Lucía, Soboleva, Irina, Dimant, Eugen, Geiger, Sandra, Jarke, Hannes, Wingen, Tobias, Berkessel, Jana, Mareva, Silvana, McGill, Lucy, Papa, Francesca, Većkalov, Bojana, Afif, Zeina, Buabang, Eike, Landman, Marna, Tavera, Felice, Andrews, Jack, Bursalıoğlu, Aslı, Zupan, Zorana, Wagner, Lisa, Navajas, Joaquín, Vranka, Marek, Kasdan, David, Chen, Patricia, Hudson, Kathleen, Novak, Lindsay, Teas, Paul, Rachev, Nikolay, Galizzi, Matteo, Milkman, Katherine, Petrović, Marija, Van Bavel, Jay, and Willer, Robb

Subjects
Humans, Behavioral Sciences, Communication, COVID-19, Culture, Evidence-Based Practice, Health Policy, Leadership, Pandemics, Policy Making, Public Health, Social Norms
Abstract

Scientific evidence regularly guides policy decisions1, with behavioural science increasingly part of this process2. In April 2020, an influential paper3 proposed 19 policy recommendations (claims) detailing how evidence from behavioural science could contribute to efforts to reduce impacts and end the COVID-19 pandemic. Here we assess 747 pandemic-related research articles that empirically investigated those claims. We report the scale of evidence and whether evidence supports them to indicate applicability for policymaking. Two independent teams, involving 72 reviewers, found evidence for 18 of 19 claims, with both teams finding evidence supporting 16 (89%) of those 18 claims. The strongest evidence supported claims that anticipated culture, polarization and misinformation would be associated with policy effectiveness. Claims suggesting trusted leaders and positive social norms increased adherence to behavioural interventions also had strong empirical support, as did appealing to social consensus or bipartisan agreement. Targeted language in messaging yielded mixed effects and there were no effects for highlighting individual benefits or protecting others. No available evidence existed to assess any distinct differences in effects between using the terms physical distancing and social distancing. Analysis of 463 papers containing data showed generally large samples; 418 involved human participants with a mean of 16,848 (median of 1,699). That statistical power underscored improved suitability of behavioural science research for informing policy decisions. Furthermore, by implementing a standardized approach to evidence selection and synthesis, we amplify broader implications for advancing scientific evidence in policy formulation and prioritization.

Published
2024

6. The globalizability of temporal discounting

Author

Ruggeri, Kai, Panin, Amma, Vdovic, Milica, Većkalov, Bojana, Abdul-Salaam, Nazeer, Achterberg, Jascha, Akil, Carla, Amatya, Jolly, Amatya, Kanchan, Andersen, Thomas Lind, Aquino, Sibele D., Arunasalam, Arjoon, Ashcroft-Jones, Sarah, Askelund, Adrian Dahl, Ayacaxli, Nélida, Sheshdeh, Aseman Bagheri, Bailey, Alexander, Barea Arroyo, Paula, Mejía, Genaro Basulto, Benvenuti, Martina, Berge, Mari Louise, Bermaganbet, Aliya, Bibilouri, Katherine, Bjørndal, Ludvig Daae, Black, Sabrina, Lyshol, Johanna K. Blomster, Brik, Tymofii, Buabang, Eike Kofi, Burghart, Matthias, Bursalıoğlu, Aslı, Buzayu, Naos Mesfin, Čadek, Martin, de Carvalho, Nathalia Melo, Cazan, Ana-Maria, Çetinçelik, Melis, Chai, Valentino E., Chen, Patricia, Chen, Shiyi, Clay, Georgia, D’Ambrogio, Simone, Damnjanović, Kaja, Duffy, Grace, Dugue, Tatianna, Dwarkanath, Twinkle, Envuladu, Esther Awazzi, Erceg, Nikola, Esteban-Serna, Celia, Farahat, Eman, Farrokhnia, R. A., Fawad, Mareyba, Fedryansyah, Muhammad, Feng, David, Filippi, Silvia, Fonollá, Matías A., Freichel, René, Freira, Lucia, Friedemann, Maja, Gao, Ziwei, Ge, Suwen, Geiger, Sandra J., George, Leya, Grabovski, Iulia, Gracheva, Aleksandra, Gracheva, Anastasia, Hajian, Ali, Hasan, Nida, Hecht, Marlene, Hong, Xinyi, Hubená, Barbora, Ikonomeas, Alexander Gustav Fredriksen, Ilić, Sandra, Izydorczyk, David, Jakob, Lea, Janssens, Margo, Jarke, Hannes, Kácha, Ondřej, Kalinova, Kalina Nikolova, Kapingura, Forget Mingiri, Karakasheva, Ralitsa, Kasdan, David Oliver, Kemel, Emmanuel, Khorrami, Peggah, Krawiec, Jakub M., Lagidze, Nato, Lazarević, Aleksandra, Lazić, Aleksandra, Lee, Hyung Seo, Lep, Žan, Lins, Samuel, Lofthus, Ingvild Sandø, Macchia, Lucía, Mamede, Salomé, Mamo, Metasebiya Ayele, Maratkyzy, Laura, Mareva, Silvana, Marwaha, Shivika, McGill, Lucy, McParland, Sharon, Melnic, Anișoara, Meyer, Sebastian A., Mizak, Szymon, Mohammed, Amina, Mukhyshbayeva, Aizhan, Navajas, Joaquin, Neshevska, Dragana, Niazi, Shehrbano Jamali, Nieves, Ana Elsa Nieto, Nippold, Franziska, Oberschulte, Julia, Otto, Thiago, Pae, Riinu, Panchelieva, Tsvetelina, Park, Sun Young, Pascu, Daria Stefania, Pavlović, Irena, Petrović, Marija B., Popović, Dora, Prinz, Gerhard M., Rachev, Nikolay R., Ranc, Pika, Razum, Josip, Rho, Christina Eun, Riitsalu, Leonore, Rocca, Federica, Rosenbaum, R. Shayna, Rujimora, James, Rusyidi, Binahayati, Rutherford, Charlotte, Said, Rand, Sanguino, Inés, Sarikaya, Ahmet Kerem, Say, Nicolas, Schuck, Jakob, Shiels, Mary, Shir, Yarden, Sievert, Elisabeth D. C., Soboleva, Irina, Solomonia, Tina, Soni, Siddhant, Soysal, Irem, Stablum, Federica, Sundström, Felicia T. A., Tang, Xintong, Tavera, Felice, Taylor, Jacqueline, Tebbe, Anna-Lena, Thommesen, Katrine Krabbe, Tobias-Webb, Juliette, Todsen, Anna Louise, Toscano, Filippo, Tran, Tran, Trinh, Jason, Turati, Alice, Ueda, Kohei, Vacondio, Martina, Vakhitov, Volodymyr, Valencia, Adrianna J., Van Reyn, Chiara, Venema, Tina A. G., Verra, Sanne E., Vintr, Jáchym, Vranka, Marek A., Wagner, Lisa, Wu, Xue, Xing, Ke Ying, Xu, Kailin, Xu, Sonya, Yamada, Yuki, Yosifova, Aleksandra, Zupan, Zorana, and García-Garzon, Eduardo

Published
2022
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7. A synthesis of evidence for policy from behavioural science during COVID-19

Author

Ruggeri, Kai, primary, Stock, Friederike, additional, Haslam, S. Alexander, additional, Capraro, Valerio, additional, Boggio, Paulo, additional, Ellemers, Naomi, additional, Cichocka, Aleksandra, additional, Douglas, Karen M., additional, Rand, David G., additional, van der Linden, Sander, additional, Cikara, Mina, additional, Finkel, Eli J., additional, Druckman, James N., additional, Wohl, Michael J. A., additional, Petty, Richard E., additional, Tucker, Joshua A., additional, Shariff, Azim, additional, Gelfand, Michele, additional, Packer, Dominic, additional, Jetten, Jolanda, additional, Van Lange, Paul A. M., additional, Pennycook, Gordon, additional, Peters, Ellen, additional, Baicker, Katherine, additional, Crum, Alia, additional, Weeden, Kim A., additional, Napper, Lucy, additional, Tabri, Nassim, additional, Zaki, Jamil, additional, Skitka, Linda, additional, Kitayama, Shinobu, additional, Mobbs, Dean, additional, Sunstein, Cass R., additional, Ashcroft-Jones, Sarah, additional, Todsen, Anna Louise, additional, Hajian, Ali, additional, Verra, Sanne, additional, Buehler, Vanessa, additional, Friedemann, Maja, additional, Hecht, Marlene, additional, Mobarak, Rayyan S., additional, Karakasheva, Ralitsa, additional, Tünte, Markus R., additional, Yeung, Siu Kit, additional, Rosenbaum, R. Shayna, additional, Lep, Žan, additional, Yamada, Yuki, additional, Hudson, Sa-kiera Tiarra Jolynn, additional, Macchia, Lucía, additional, Soboleva, Irina, additional, Dimant, Eugen, additional, Geiger, Sandra J., additional, Jarke, Hannes, additional, Wingen, Tobias, additional, Berkessel, Jana B., additional, Mareva, Silvana, additional, McGill, Lucy, additional, Papa, Francesca, additional, Većkalov, Bojana, additional, Afif, Zeina, additional, Buabang, Eike K., additional, Landman, Marna, additional, Tavera, Felice, additional, Andrews, Jack L., additional, Bursalıoğlu, Aslı, additional, Zupan, Zorana, additional, Wagner, Lisa, additional, Navajas, Joaquín, additional, Vranka, Marek, additional, Kasdan, David, additional, Chen, Patricia, additional, Hudson, Kathleen R., additional, Novak, Lindsay M., additional, Teas, Paul, additional, Rachev, Nikolay R., additional, Galizzi, Matteo M., additional, Milkman, Katherine L., additional, Petrović, Marija, additional, Van Bavel, Jay J., additional, and Willer, Robb, additional

Published
2023
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11. A synthesis of evidence for policy from behavioural science during COVID-19

Author

Leerstoel Ellemers, Social identity: Morality and diversity, Leerstoel de Wit, Social Policy and Public Health, Ruggeri, Kai, Stock, Friederike, Haslam, S Alexander, Capraro, Valerio, Boggio, Paulo, Ellemers, Naomi, Cichocka, Aleksandra, Douglas, Karen M, Rand, David G, van der Linden, Sander, Cikara, Mina, Finkel, Eli J, Druckman, James N, Wohl, Michael J A, Petty, Richard E, Tucker, Joshua A, Shariff, Azim, Gelfand, Michele, Packer, Dominic, Jetten, Jolanda, Van Lange, Paul A M, Pennycook, Gordon, Peters, Ellen, Baicker, Katherine, Crum, Alia, Weeden, Kim A, Napper, Lucy, Tabri, Nassim, Zaki, Jamil, Skitka, Linda, Kitayama, Shinobu, Mobbs, Dean, Sunstein, Cass R, Ashcroft-Jones, Sarah, Todsen, Anna Louise, Hajian, Ali, Verra, Sanne, Buehler, Vanessa, Friedemann, Maja, Hecht, Marlene, Mobarak, Rayyan S, Karakasheva, Ralitsa, Tünte, Markus R, Yeung, Siu Kit, Rosenbaum, R Shayna, Lep, Žan, Yamada, Yuki, Hudson, Sa-Kiera Tiarra Jolynn, Macchia, Lucía, Soboleva, Irina, Dimant, Eugen, Geiger, Sandra J, Jarke, Hannes, Wingen, Tobias, Berkessel, Jana B, Mareva, Silvana, McGill, Lucy, Papa, Francesca, Većkalov, Bojana, Afif, Zeina, Buabang, Eike K, Landman, Marna, Tavera, Felice, Andrews, Jack L, Bursalıoğlu, Aslı, Zupan, Zorana, Wagner, Lisa, Navajas, Joaquín, Vranka, Marek, Kasdan, David, Chen, Patricia, Hudson, Kathleen R, Novak, Lindsay M, Teas, Paul, Rachev, Nikolay R, Galizzi, Matteo M, Milkman, Katherine L, Petrović, Marija, Van Bavel, Jay J, Willer, Robb, Leerstoel Ellemers, Social identity: Morality and diversity, Leerstoel de Wit, Social Policy and Public Health, Ruggeri, Kai, Stock, Friederike, Haslam, S Alexander, Capraro, Valerio, Boggio, Paulo, Ellemers, Naomi, Cichocka, Aleksandra, Douglas, Karen M, Rand, David G, van der Linden, Sander, Cikara, Mina, Finkel, Eli J, Druckman, James N, Wohl, Michael J A, Petty, Richard E, Tucker, Joshua A, Shariff, Azim, Gelfand, Michele, Packer, Dominic, Jetten, Jolanda, Van Lange, Paul A M, Pennycook, Gordon, Peters, Ellen, Baicker, Katherine, Crum, Alia, Weeden, Kim A, Napper, Lucy, Tabri, Nassim, Zaki, Jamil, Skitka, Linda, Kitayama, Shinobu, Mobbs, Dean, Sunstein, Cass R, Ashcroft-Jones, Sarah, Todsen, Anna Louise, Hajian, Ali, Verra, Sanne, Buehler, Vanessa, Friedemann, Maja, Hecht, Marlene, Mobarak, Rayyan S, Karakasheva, Ralitsa, Tünte, Markus R, Yeung, Siu Kit, Rosenbaum, R Shayna, Lep, Žan, Yamada, Yuki, Hudson, Sa-Kiera Tiarra Jolynn, Macchia, Lucía, Soboleva, Irina, Dimant, Eugen, Geiger, Sandra J, Jarke, Hannes, Wingen, Tobias, Berkessel, Jana B, Mareva, Silvana, McGill, Lucy, Papa, Francesca, Većkalov, Bojana, Afif, Zeina, Buabang, Eike K, Landman, Marna, Tavera, Felice, Andrews, Jack L, Bursalıoğlu, Aslı, Zupan, Zorana, Wagner, Lisa, Navajas, Joaquín, Vranka, Marek, Kasdan, David, Chen, Patricia, Hudson, Kathleen R, Novak, Lindsay M, Teas, Paul, Rachev, Nikolay R, Galizzi, Matteo M, Milkman, Katherine L, Petrović, Marija, Van Bavel, Jay J, and Willer, Robb

Published
2023

12. A synthesis of evidence for policy from behavioural science during COVID-19

Author

Ruggeri, Kai, Stock, Friederike, Haslam, Alexander S., Capraro, Valerio, Boggio, P., Ellemers, N., Cichocka, A., Douglas, Karen M., Rand, David G., van der Linden, Sander, Cikara, Mina, Finkel, Eli J., Druckman, James N., Wohl, Michael J.A., Petty, Richard E., Tucker, Joshua A., Shariff, Azim, Gelfand, M., Packer, Dominic, Jetten, Jolanda, Van Lange, Paul AM, Pennycook, Gordon, Peters, Ellen, Baicker, Katherine, Crum, Alia, Weeden, Kim A, Napper, Lucy, Tabri, Nassim, Zaki, Jamil, Skitka, Linda, Kitayama, Shinobu, Mobbs, Dean, Sunstein, Cass R, Ashcroft Jones, Sarah, Todsen, Anna Louise, Hajian, Ali, Verra, Sanne, Buehler, Vanessa, Friedemann, Maja, Hecht, Marlene, Mobarak, Rayyan S, Karakasheva, Ralitsa, Tunte, Markus R, Yeung, Siu Kit, Rosenbaum, R Shayna, Lep, Žan, Yamada, Yuki, Hudson, Sa-Kiera Tiarra Jolynn, Macchia, Lucia, Soboleva, Irina, Dimant, Eugen, Geiger, Sandra J., Jarke, Hannes, Wingen, Tobias, Berkessel, Jana B, Mareva, Silvana, McGill, Lucy, Papa, Francesca, Veckalov, Bojana, Afif, Zeina, Buabang, Eike K, Landman, Marna, Tavera, Felice, Andrews, Jack L., Bursalioglu, Asli, Zupan, Zorana, Wagner, Lisa, Navajas, Joaquin, Vranka, Marek, Kasdan, David, Chen, Patricia, Hudson, Kathleen R, Novak, Lindsay M, Teas, Paul, Rachev, Nikolay R, Galizzi, Matteo M, Milknan, Katherine L, Petrović, Marija, van Bavel, Jay J, Willer, Robb, Ruggeri, Kai, Stock, Friederike, Haslam, Alexander S., Capraro, Valerio, Boggio, P., Ellemers, N., Cichocka, A., Douglas, Karen M., Rand, David G., van der Linden, Sander, Cikara, Mina, Finkel, Eli J., Druckman, James N., Wohl, Michael J.A., Petty, Richard E., Tucker, Joshua A., Shariff, Azim, Gelfand, M., Packer, Dominic, Jetten, Jolanda, Van Lange, Paul AM, Pennycook, Gordon, Peters, Ellen, Baicker, Katherine, Crum, Alia, Weeden, Kim A, Napper, Lucy, Tabri, Nassim, Zaki, Jamil, Skitka, Linda, Kitayama, Shinobu, Mobbs, Dean, Sunstein, Cass R, Ashcroft Jones, Sarah, Todsen, Anna Louise, Hajian, Ali, Verra, Sanne, Buehler, Vanessa, Friedemann, Maja, Hecht, Marlene, Mobarak, Rayyan S, Karakasheva, Ralitsa, Tunte, Markus R, Yeung, Siu Kit, Rosenbaum, R Shayna, Lep, Žan, Yamada, Yuki, Hudson, Sa-Kiera Tiarra Jolynn, Macchia, Lucia, Soboleva, Irina, Dimant, Eugen, Geiger, Sandra J., Jarke, Hannes, Wingen, Tobias, Berkessel, Jana B, Mareva, Silvana, McGill, Lucy, Papa, Francesca, Veckalov, Bojana, Afif, Zeina, Buabang, Eike K, Landman, Marna, Tavera, Felice, Andrews, Jack L., Bursalioglu, Asli, Zupan, Zorana, Wagner, Lisa, Navajas, Joaquin, Vranka, Marek, Kasdan, David, Chen, Patricia, Hudson, Kathleen R, Novak, Lindsay M, Teas, Paul, Rachev, Nikolay R, Galizzi, Matteo M, Milknan, Katherine L, Petrović, Marija, van Bavel, Jay J, and Willer, Robb

Abstract

Scientific evidence regularly guides policy decisions1, with behavioural science increasingly part of this process2. In April 2020, an influential paper3 proposed 19 policy recommendations (‘claims’) detailing how evidence from behavioural science could contribute to efforts to reduce impacts and end the COVID-19 pandemic. Here we assess 747 pandemic-related research articles that empirically investigated those claims. We report the scale of evidence and whether evidence supports them to indicate applicability for policymaking. Two independent teams, involving 72 reviewers, found evidence for 18 of 19 claims, with both teams finding evidence supporting 16 (89%) of those 18 claims. The strongest evidence supported claims that anticipated culture, polarization and misinformation would be associated with policy effectiveness. Claims suggesting trusted leaders and positive social norms increased adherence to behavioural interventions also had strong empirical support, as did appealing to social consensus or bipartisan agreement. Targeted language in messaging yielded mixed effects and there were no effects for highlighting individual benefits or protecting others. No available evidence existed to assess any distinct differences in effects between using the terms ‘physical distancing’ and ‘social distancing’. Analysis of 463 papers containing data showed generally large samples; 418 involved human participants with a mean of 16,848 (median of 1,699). That statistical power underscored improved suitability of behavioural science research for informing policy decisions. Furthermore, by implementing a standardized approach to evidence selection and synthesis, we amplify broader implications for advancing scientific evidence in policy formulation and prioritization.

Published
2023

15. Evaluating expectations from social and behavioral science about COVID-19 and lessons for the next pandemic

Author

Ruggeri, Kai, primary, Stock, Friederike, additional, Haslam, S. Alexander, additional, Capraro, Valerio, additional, Boggio, Paulo, additional, Ellemers, Naomi, additional, Cichocka, Aleksandra, additional, Douglas, Karen, additional, Rand, David Gertler, additional, Cikara, Mina, additional, Finkel, Eli, additional, Linden, Sander van der, additional, Druckman, James, additional, Wohl, Michael Jeremy Adam, additional, Petty, Richard, additional, Tucker, Joshua A, additional, Peters, Ellen, additional, Shariff, Azim, additional, Gelfand, Michele, additional, Packer, Dominic, additional, van Lange, Paul, additional, Pennycook, Gordon, additional, Baicker, Katherine, additional, Crum, Alia, additional, Weeden, Kim A, additional, Napper, Lucy E., additional, Tabri, Nassim, additional, zaki, jamil, additional, Skitka, Linda, additional, Kitayama, Shinobu, additional, mobbs, dean, additional, Sunstein, Cass R., additional, Galizzi, Matteo M, additional, Milkman, Katherine, additional, Petrović, Marija, additional, Todsen, Anna Louise, additional, Hajian, Ali, additional, Verra, Sanne, additional, Buehler, Vanessa, additional, Friedemann, Maja, additional, Hecht, Marlene, additional, Mobarak, Rayyan, additional, Jetten, Jolanda, additional, Karakasheva, Ralitsa, additional, Tünte, Markus R., additional, Yeung, Siu Kit, additional, Rosenbaum, R. Shayna, additional, Yamada, Yuki, additional, Hudson, Sa-kiera Tiarra Jolynn, additional, Soboleva, Irina, additional, Macchia, Lucía, additional, Dimant, Eugen, additional, Geiger, Sandra Jeanette, additional, Buabang, Eike Kofi, additional, Landman, Marna, additional, Lep, Zan, additional, Jarke, Hannes, additional, Wingen, Tobias, additional, Berkessel, Jana, additional, Mareva, Silvana, additional, McGill, Lucy, additional, Papa, Francesca, additional, Većkalov, Bojana, additional, Afif, Zeina, additional, Tavera, Felice, additional, Andrews, Jack L, additional, Bursalıoğlu, Aslı, additional, Zupan, Zorana, additional, Wagner, Lisa, additional, Navajas, Joaquin, additional, Vranka, Marek Albert, additional, Kasdan, David, additional, Novak, Lindsay, additional, Hudson, Kathleen, additional, Teas, Paul, additional, Rachev, Nikolay R., additional, Van Bavel, Jay Joseph, additional, and Willer, Robb, additional

Published
2022
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20. The globalizability of temporal discounting

Author

Ruggeri, Kai, primary, Panin, Amma, additional, Vdovic, Milica, additional, Većkalov, Bojana, additional, Abdul-Salaam, Nazeer, additional, Achterberg, Jascha, additional, Akil, Carla, additional, Amatya, Jolly, additional, Amatya, Kanchan, additional, Andersen, Thomas, additional, Aquino, Sibele, additional, Arunasalam, Arjoon, additional, Ashcroft-Jones, Sarah, additional, Askelund, Adrian Dahl, additional, Ayacaxli, Nélida, additional, Sheshdeh, Aseman Bagheri, additional, Bailey, Alexander, additional, Arroyo, Paula Barea, additional, Mejía, Genaro Basulto, additional, Benvenuti, Martina, additional, Berge, Mari Louise, additional, Bermaganbet, Aliya, additional, Bibilouri, Katherine, additional, Bjørndal, Ludvig, additional, Black, Sabrina, additional, Lyshol, Johanna Blomster, additional, Brik, Tymofii, additional, Buabang, Eike Kofi, additional, Burghart, Matthias, additional, Bursalıoğlu, Aslı, additional, Buzayu, Naos Mesfin, additional, Čadek, Martin, additional, de Carvalho, Nathalia Melo, additional, Cazan, Ana-Maria, additional, Çetinçelik, Melis, additional, Chai, Valentino, additional, Chen, Patricia, additional, Chen, Shiyi, additional, Clay, Georgia, additional, D'Ambrogio, Simone, additional, Damnjanović, Kaja, additional, Duffy, Grace, additional, Dugue, Tatianna, additional, Dwarkanath, Twinkle, additional, Envuladu, Esther Awazzi, additional, Erceg, Nikola, additional, Esteban-Serna, Celia, additional, Farahat, Eman, additional, Farrokhnia, Robert, additional, Fawad, Mareyba, additional, Fedryansyah, Muhammad, additional, Feng, David, additional, Filippi, Silvia, additional, Fonollá, Matías, additional, Freichel, René, additional, Freira, Lucia, additional, Friedemann, Maja, additional, Gao, Ziwei, additional, Ge, Suwen, additional, Geiger, Sandra, additional, George, Leya, additional, Grabovski, Iulia, additional, Gracheva, Aleksandra, additional, Gracheva, Anastasia, additional, Hajian, Ali, additional, Hasan, Nida, additional, Hecht, Marlene, additional, Hong, Xinyi, additional, Hubená, Barbora, additional, Ikonomeas, Alexander, additional, Ilić, Sandra, additional, Izydorczyk, David, additional, Jakob, Lea, additional, Janssens, Margo, additional, Jarke, Hannes, additional, Kácha, Ondřej, additional, Kalinova, Kalina Nikolova, additional, Kapingura, Forget Mingiri, additional, Karakasheva, Ralitsa, additional, Kasdan, David, additional, Kemel, Emmanuel, additional, Khorrami, Peggah, additional, Krawiec, Jakub, additional, Lagidze, Nato, additional, Lazarević, Aleksandra, additional, Lazić, Aleksandra, additional, Lee, Hyung Seo, additional, Lep, Žan, additional, Lins, Samuel, additional, Lofthus, Ingvild, additional, Macchia, Lucía, additional, Mamede, Salomé, additional, Mamo, Metasebiya Ayele, additional, Maratkyzy, Laura, additional, Mareva, Silvana, additional, Marwaha, Shivika, additional, McGill, Lucy, additional, McParland, Sharon, additional, Melnic, Anișoara, additional, Meyer, Sebastian, additional, Mizak, Szymon, additional, Mohammed, Amina, additional, Mukhyshbayeva, Aizhan, additional, Navajas, Joaquin, additional, Neshevska, Dragana, additional, Niazi, Shehrbano Jamali, additional, Nieto, Ana, additional, Nippold, Franziska, additional, Oberschulte, Julia, additional, Otto, Thiago, additional, Pae, Riinu, additional, Panchelieva, Tsvetelina, additional, Park, Sun Young, additional, Pascu, Daria Stefania, additional, Pavlović, Irena, additional, Petrović, Marija, additional, Popović, Dora, additional, Prinz, Gerhard, additional, Rachev, Nikolay, additional, Ranc, Pika, additional, Razum, Josip, additional, Rho, Christina Eun, additional, Riitsalu, Leonore, additional, Rocca, Federica, additional, Rosenbaum, R. Shayna, additional, Rujimora, James, additional, Rusyidi, Binahayati, additional, Rutherford, Charlotte, additional, Said, Rand, additional, Sanguino, Inés, additional, Sarikaya, Ahmet Kerem, additional, Say, Nicolas, additional, Jakob, Jakob, additional, Shiels, Mary, additional, Shir, Yarden, additional, Sievert, Elisabeth D. C., additional, Soboleva, Irina, additional, Solomonia, Tina, additional, Soni, Siddhant, additional, Soysal, Irem, additional, Stablum, Federica, additional, Sundström, Felicia T. A., additional, Tang, Xintong, additional, Tavera, Felice, additional, Taylor, Jacqueline, additional, Tebbe, Anna-Lena, additional, Thommesen, Katrine, additional, Tobias-Webb, Juliette, additional, Todsen, Anna, additional, Toscano, Filippo, additional, Tran, Tran, additional, Trinh, Jason, additional, Turati, Alice, additional, Ueda, Kohei, additional, Vacondio, Martina, additional, Vakhitov, Volodymyr, additional, Valencia, Adrianna, additional, Reyn, Chiara Van, additional, Venema, Tina, additional, Verra, Sanne, additional, Vintr, Jáchym, additional, Vranka, Marek, additional, Wagner, Lisa, additional, Wu, Xue, additional, Xing, Ke Ying, additional, Xu, Kailin, additional, Xu, Sonya, additional, Yamada, Yuki, additional, Yosifova, Aleksandra, additional, Zupan, Zorana, additional, and Garcia-Garzon, Eduardo, additional

Published
2021
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21. The Administration of Ubiquity: Governance, Dataveillance, and the Smart City

Author

Oliver Kasdan David

Subjects
Government, Data collection, Cost–benefit analysis, Order (exchange), business.industry, ComputerSystemsOrganization_MISCELLANEOUS, Corporate governance, Smart city, Internet privacy, Big data, business, Social progress
Abstract

A key feature of modern smart cities is the technological infrastructure that enables the constant collection of data. Whether it is through Internet of Things devices, household domotics, CCTVs, or other means, the intelligence of a smart city depends on ubiquitous data gathering. The capability to collect data and turn it into useful information for urban governance is not in question; however, there are concerns with how urban governments obtain such information and its effect on the lived experience of citizens. The data mediated relationship between people and their government requires careful consideration of the potential costs and benefits to society. This paper discusses concepts for ubiquitous smart city administration that account for concerns of privacy, security, engagement, and participation. Songdo, a new ubiquitous smart city in South Korea, is presented to illustrate some of the issues. This paper explores the interactions between citizens and smart city governance in order to offer ideas for how administration can manage ubiquity for social progress.

Published
2019

23. WHAT IS 'URBAN STUDIES'? CONTEXT, INTERNAL STRUCTURE, AND CONTENT

Author

Bowen, William M., Dunn, Ronnie A., and Kasdan, David O.

Subjects
Sociology and social work
Abstract

To authenticate to the full-text of this article, please visit this link: http://dx.doi.org/10.1111/j.1467-9906.2009.00474.x Byline: WILLIAM M. BOWEN (1), RONNIE A. DUNN (1), DAVID O. KASDAN (1) Abstract: ABSTRACT: The record of learned concern with cities is nearly as old as the city itself. In the past several decades, however, a distinct academic field of 'Urban Studies' has emerged. This article characterizes the context, internal structure, and content of the field through interviews with leading scholars, probabilistic multidimensional scaling analyses of survey data, and a content analysis of a leading journal. The article concludes that although Urban Studies is in some respects not a bounded 'academic discipline,' it is an intellectually coherent, distinctively structured, and promising field of inquiry steered by complex, ever-changing, and often-large-scale realities and real-world problems of evolving human settlements. Author Affiliation: (1)Cleveland State University Article note: Direct correspondence to: William M. Bowen, Maxine Goodman Levin College of Urban Affairs, Cleveland State University, Cleveland, OH 44115. E-mail: w.bowen@csuohio.edu.

Published
2010

30. Toward a theory of behavioral public administration.

Author

Oliver Kasdan, David

Subjects
PUBLIC administration, DECISION making, PATERNALISM
Abstract

The connection between public administration and behavioral economics goes back to Herbert Simon, who recognized the tension between the institutional demands of rational efficiency and the reality of individuals' alternate objectives. There is now a concentrated research push at the intersection of behavioral economics and governance, following recently publicized evidence of favorable synergies. Public administration can use behavioral economics in a variety of implementations, from boosting public service motivation to improving policy compliance. This article reviews the current discourse on the development of behavioral public administration, describes some dominant concepts currently being applied, and then offers a framework with propositions for a theory of behavioral public administration in order to enable further experimental inquiry and inform better governance. Points for practitioners: Behavioral public administration is a developing theory that may enable practitioners to employ alternative approaches to policy design and implementation. Using concepts of behavioral economics that describe individual decision-making with alternative objectives to traditional utility maximization, behavioral public administration shifts the reliance on traditional causal models away from rational ideals and toward actual behaviors that inhabit empirically evident biases. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
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33. Analyzing Disaster Loss Trends: A Comparison of Normalization Methodologies in South Korea.

Author

Choi, Donghyun, Kasdan, David Oliver, and Yoon, D. K.

Subjects
CLIMATE change, RISK, EMERGENCY management, ECONOMIC development
Abstract

Increasing concern for climate change adaptation and disaster risk reduction is driving the need for more accurate and sophisticated tools of analysis to protect populations. Standards of analysis that can normalize measurements under various contexts are particularly valuable in the global arena of disaster management. One concern that may benefit from normalizing is the analysis of disaster loss trends. Previous studies have used a combination of inflation, wealth, and societal factors in their normalization of disaster loss methodologies. This study examines the various normalization methods in previous research and applies a selection of eight formulae to 50 years of disaster data in South Korea. The results show both decreasing and increasing trends in disaster damage losses based on the methods, but there are curious biases under the results that may be artifacts of Korea's unique experiences in economic development. The conclusion discusses how the case of Korea may help to clarify the optimal normalization methodology for other countries. [ABSTRACT FROM AUTHOR]

Published
2019
Full Text
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41. LETTERS.

Author

KASDAN, DAVID S., HOROWITZ, ADAM, BACINO, TED, GOULD, JODIE, GUINTHER, LOUISE, BALDWIN, KARIN KRAMER, KLITZMAN, ROBERT, and GARDNER, WALT

Published
2024

44. Financial Intermediaries for Community and Economic Development in Ohio: Market Assessment

Author

Austrian, Ziona, Mikelbank, Brian A., Yamoah, Afia, Post, Charles, Clouse, Candice, Kasdan, David O., Austrian, Ziona, Mikelbank, Brian A., Yamoah, Afia, Post, Charles, Clouse, Candice, and Kasdan, David O.

Abstract

This report describes the results of an in-depth market assessment study conducted for the Finance Fund by the Center for Economic Development and the Center for Housing Research and Policy at Cleveland State University’s Levin College of Urban Affairs. The Finance Fund, located in Columbus, Ohio, is a statewide nonprofit financial intermediary. It finds funding and provides resources to support organizations that assist low- and moderate-income families and communities.1 The Finance Fund works primarily within low-income rural and urban communities throughout the state of Ohio by connecting local community development organizations and small businesses with needed funding in the form of grants, loans, and nontraditional financial products. Most of the projects in which the Finance Fund acts as a financial intermediary are in the areas of affordable housing, child care and early learning facilities, small business entrepreneurship, community facilities, and commercial revitalization. The majority of the Finance Fund’s clients are community-based nonprofit organizations and for-profit businesses that serve the low-income community. In order to provide the funding needed to undertake these projects, the Finance Fund helps create public-private partnerships with financial institutions, investors, charitable foundations, community organizations, and federal, state, and local governments.

Published
2009

45. Northeast Ohio Entrepreneurship Confidence Survey: Fourth-Year Findings

Author

Kasdan, David O. and Kasdan, David O.

Abstract

The continued objective of the entrepreneurship Confidence Survey is to assess the entrepreneurial climate and entrepreneurs’ confidence in their ability to start and sustain a business in Northeast Ohio. This is the fourth year that the survey has been conducted and the intention is to continue conducting the survey annually for the next several years to identify trends that might emerge. The survey has been constructed to measure respondents’ perceptions regarding several issues, including access to capital, workforce supply, information provided by educational institutions and business support organizations, networking opportunities, government responsiveness, attitudes toward entrepreneurs, adequacy of infrastructure, quality of life, and confidence in the regional economy and ability to start or sustain a business in Northeast Ohio. The results from this year’s survey as compared to the 2006-2008 surveys are similar for many categories. Noteworthy differences are highlighted in the full report and concluding remarks. The year-over-year results confirm some of the conclusions from the last surveys and identify some aggregate trends in the entrepreneurial conditions for Northeast Ohio.

Published
2009

46. Northeast Ohio Entrepreneurship Confidence Survey: Third-Year Findings, survey analysis

Author

Kasdan, David O. and Kasdan, David O.

Abstract

The objective of the entrepreneurship Confidence Survey is to assess the entrepreneurial climate and entrepreneurs’ confidence in their ability to start and sustain a business in Northeast Ohio. This is the third year that the survey has been conducted, and the intention is to continue conducting the survey annually for the next several years to identify trends that might emerge. The survey has been constructed to measure respondents’ perceptions regarding several issues, including access to capital, workforce supply, information provided by educational institutions and business support organizations, networking opportunities, government responsiveness, attitudes toward entrepreneurs, adequacy of infrastructure, quality of life, and confidence in the regional economy and ability to start or sustain a business in Northeast Ohio. The results from this year’s survey as compared to the 2006 and 2007 surveys are similar for many categories. Noteworthy differences are highlighted in the full report and concluding remarks. The year-over-year results confirm some of the conclusions from the last surveys and identify some aggregate trends in the entrepreneurial conditions for Northeast Ohio.

Published
2008

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